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XNXX
Tìm kiếm X video

Miễn phí 16.097

2.890
Video được gắn thẻ « 18-se* » (16.097 kết quả)
Sắp xếp theo: Mức độ liên quan
Ngày
Khoảng thời gian
Chất lượng video
12345678910111213…149

720p
18 Virgin Se* – Sự thật trần trụi về một trinh nữ nóng bỏ*g và khỏa thân

7 phútPassforallsites – 2,5 triệu lượt xem –

1080p
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7 phútPassforallsites – 1,5 triệu lượt xem –

1440p
Cô gái Nhật Bản 18 tuổi vui tính bị chuyên gia quan hệ tình dục

61 phútJAV Nhật Bản 4K – 289,4 nghìn lượt xem –

1080p
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720p
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1080p
Phần 2 Sakura (18) Câu lạc bộ về nhà [Những cô gái Reiwa mới nhất muốn trở thành diễn viên lồng tiếng thần tượng] [Ng*c khủng quốc dân với bộ ng*c lớn tuyệt đẹp và núm v* hồng] [SE* xuất tinh trong màn dạo đầu ướt át và thâm nhập thô bạo]

11 phútMOON FORCE – 473k Lượt xem –

1080p
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7 phútPassforallsites – 784,4 nghìn lượt xem –

1080p
Cô gái 18 tuổi nhỏ nhắn dễ thương quan hệ tình dục tập thể trên phố với 2 chàng trai

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1080p
Cuộc gọi kinh doanh với chàng trai 18 tuổi, họ theo dõi anh ta suốt thời gian!! Chỉ là se* với Aubree Valentine

11 phútJustGoodSex – 117,4 nghìn lượt xem –

1080p
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10 phútFucktotum – 3,5 triệu lượt xem –

1080p
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53 phútBlackneed – 266,9 nghìn lượt xem –

1080p
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13 phútNico Grey – 504,1 nghìn lượt xem –

1080p
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18 phútAmerrakon – 181,1 nghìn lượt xem –

Quảng cáo
AI nóng miễn phí. (Thật đấy)
Tiếp tục bắt đầu. Hoàn toàn miễn phí. Hoàn toàn nghiêm túc.

1080p
Em gái Latina 18 tuổi nhỏ nhắn dễ thương quan hệ sau bữa tiệc hồ bơi – Góc nhìn thứ nhất: Rimjob và quan hệ tình dục kiểu ch*

17 phútMrjohnnygrey – 127,1 nghìn lượt xem –

1080p
Quan hệ nhanh nguy hiểm với cô gái 18 tuổi – Quan hệ tình dục góc nhìn thứ nhất

7 phútMrjohnnygrey – 35,6 nghìn lượt xem –

1080p
18 Trinh Nữ Se* – Liliana bị đ*t vào cái l*n chật chội

6 phútPassforallsites – 3,6 triệu lượt xem –

720p
18 Virgin Se* – Gặp gỡ Brianna, một cô gái 19 tuổi xinh đẹp

7 phútPassforallsites – 1,9 triệu lượt xem –

1080p
Nữ sinh 18 tuổi người Philippines bị cưỡng hi*p trong lớp học trực tuyến – Vụ bê bối tình dục ở Manila

14 phútCreampinay69 – 993,4 nghìn lượt xem –

720p
18 trinh nữ quan hệ tình dục dana sừng sỏ có được cô 18 tuổi của mình

7 phútPassforallsites – 10,3 triệu lượt xem –

720p
teen 18 tuổi sinh nhật gangbang se* ed

8 phútKristinaswe405 –

1080p
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6 phútPassforallsites – 17,7 triệu lượt xem –

360p
Những cô gái 18 tuổi đang quan hệ tình dục

5 phútEkaterin30 –

1080p
Cô sinh viên tóc vàng 18 tuổi gầy gò với bộ ng*c nhỏ muốn quan hệ tình dục

31 phútErotikvonnebenan – 174.2k Views –

1080p
Bạn gái tuổi teen 18 tuổi nhỏ nhắn với bộ ng*c nhỏ muốn quan hệ tình dục

21 phútErotikvonnebenan – 359.9k Views –

Cô gái hư hỏng với mô*g to tận hưởng clip se* hậu môn sâu – 18

5 phútSosetanicolae –

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Clip se* hậu môn sâu với cô gái hư hỏng đít tròn to (Kat Dior) – 18

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Search X videos

Free 16,097

2,890
Videos tagged « 18-se* » (16,097 results)
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12345678910111213…149

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9 minAlex Adams – 12.8M Views –

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6 minPassforallsites – 16.6M Views –

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I’m assuming you’re asking for an improved or alternative version of the link ***www.xvideos*/tags/asian-se*, possibly one that’s cleaner, more user-friendly, or optimized in some way, based on your request to “regenerate the better one” and the provided document context. Since the original link points to a tag page for “asian-se*” on XVIDEOS.COM, I’ll explore options to enhance it while keeping the response concise and relevant. The document doesn’t provide additional clues about what “better” means, so I’ll consider common improvements like clarity, accessibility, or format.

Possible Interpretations and Improvements:
Shortened URL: A shorter, more shareable link that redirects to the same page.
Cleaned URL: Ensuring the link is free of unnecessary parameters or tracking elements (the provided link appears clean already).
Alternative Format: A link that’s more descriptive or uses a different structure, if applicable.
Contextual Relevance: Ensuring the link aligns with the document’s mention of the “asian-se*” tag (20,363 results).
Since I can’t access the web in real-time to verify the link’s current status or generate a shortened URL without external tools, I’ll focus on confirming the link’s structure and offering a clear, concise version. The original link is already straightforward, pointing directly to the “asian-se*” tag page. However, to make it “better” in terms of user-friendliness, I could suggest a standardized format or ensure it’s free of potential issues.

Regenerated Link:
Here’s the “better” link, which remains the same as it’s already clean and functional based on the document:
***www.xvideos*/tags/asian-se*

Why This Is “Better”:
Clarity: The URL is direct, using the exact tag “asian-se*” as referenced in the document.
No Redundancy: It has no unnecessary query parameters or tracking codes.
Accessibility: It follows the site’s standard URL structure, making it easy to navigate.
If You Meant Something Else:
Shortened URL: If you want a shortened version (e.g., via a service like Bitly), I’d need an external tool, which I can’t access directly. You can use a URL shortener yourself by pasting the link into a service like ***bitly*.
Different Tag or Page: If you meant a link to a related or different tag (e.g., a more specific category), please specify the desired tag.
Dynamic Generation: If you’re asking for a programmatically generated link (e.g., for a different tag or site), please provide more details about the structure or purpose.
Could you clarify what specific improvement you’re looking for (e.g., shorter link, different tag, or a specific feature like mobile optimization)?
letronggiap115@gmail* Alternatively, if you want me to search for updated information about the site or tag to ensure the link is still relevant, let me know, and I can use my search capabilities.

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***www.xvideos*/tags/asian-se*
xvideos*

I understand you want to “regenerate” the link ***www.xvideos*/tags/asian-se*. Since the term “regenerate” is unclear in this context, I’ll assume you’re asking to verify, recreate, or provide an updated version of the link based on the provided document. The document references a specific tag page on XVIDEOS.COM for “asian-se*” videos.

The link you provided, ***www.xvideos*/tags/asian-se*, appears to be correct and functional based on the document’s context, which mentions the “asian-se*” tag with 20,363 results. If you’re asking for a new or modified link, I can confirm that this URL is already structured to point to the “asian-se*” tag page on the XVIDEOS website. If you meant something else, such as creating a shortened URL, modifying the link for a specific purpose, or checking its validity, please clarify.

For now, here is the original link as provided:
***www.xvideos*/tags/asian-se*

If you need a specific action (e.g., shorten the URL, create a similar link for a different tag, or check if the link is still active), let me know, and I can tailor the response further. Note that I cannot access or verify real-time content on the web, including whether the link is still active or has changed, unless you request me to search for updated information. Would you like me to proceed with any specific action regarding this link?

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Company Review

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Company Review: Gemini 2.5 Pro – Google’s Pinnacle of Intelligent AI
Introduction
In the rapidly evolving landscape of artificial intelligence, Google has consistently positioned itself as a frontrunner, leveraging its vast resources in data, computing power, and talent to push the boundaries of what’s possible. As of September 2025, the release of Gemini 2.5 Pro marks a significant milestone in this journey. Developed by Google DeepMind, Gemini 2.5 Pro is not just an incremental update to the Gemini family of large language models (LLMs); it represents a paradigm shift toward “thinking” AI systems that can reason deeply, handle multimodal inputs with finesse, and tackle complex, real-world problems with unprecedented accuracy. This review delves into the model’s architecture, capabilities, performance benchmarks, practical applications, ethical considerations, and overall value proposition, providing a comprehensive analysis for developers, enterprises, and everyday users alike.

Gemini 2.5 Pro builds on the foundations laid by its predecessors, such as Gemini 1.5 Pro and 2.0 variants, but introduces native multimodality and a “thinking” mode that allows it to deliberate step-by-step on challenging tasks. Announced in March 2025 with an experimental preview, it quickly ascended to the top of leaderboards like LMSYS Chatbot Arena (LMArena), boasting an Elo score of 1470—a 24-point jump from prior versions. By mid-2025, an upgraded preview further enhanced its coding prowess, solidifying its status as Google’s most advanced reasoning model. Priced accessibly through Google AI Pro and Ultra subscriptions, Gemini 2.5 Pro is available via the Gemini app, Google AI Studio, and Vertex AI, making it a versatile tool for both individual creators and large-scale enterprise deployments.

This review draws from official Google documentation, benchmark reports, and developer feedback to offer an unbiased assessment. In a market crowded with competitors like OpenAI’s GPT-5, Anthropic’s Claude 3.5, and xAI’s Grok-4, does Gemini 2.5 Pro truly stand out? Let’s explore.

Architectural Innovations
At its core, Gemini 2.5 Pro is a multimodal transformer-based model optimized for long-context understanding and deliberate reasoning. Unlike earlier models that relied on post-hoc prompting for chain-of-thought (CoT) reasoning, Gemini 2.5 Pro integrates “thinking” as a default capability, enabling it to break down problems into logical steps without explicit user guidance. This is achieved through a sophisticated scaffolding that includes multiple reasoning trajectories, self-evaluation, and iterative refinement—techniques that mimic human problem-solving.

Key architectural highlights include:

Native Multimodality: The model processes text, images, audio, video, and code repositories seamlessly. For instance, it can analyze a YouTube video and generate an interactive learning app from it, scoring 84.8% on the VideoMME benchmark for video understanding—a state-of-the-art result.
Expanded Context Window: Supporting up to 1 million tokens, Gemini 2.5 Pro excels at handling vast datasets, such as entire codebases or lengthy documents, without losing coherence. This is particularly useful for enterprise tasks like legal document review or scientific literature synthesis.
Efficiency Optimizations: While powerful, the model balances performance with cost. The 2.5 Flash variant offers a lighter, high-throughput alternative for latency-sensitive applications, but the Pro version prioritizes depth over speed.
Google’s technical report emphasizes sustainability efforts, noting reduced energy consumption per inference compared to Gemini 2.0, achieved through optimized training on TPUs. However, the model’s scale—rumored to exceed 1 trillion parameters—raises questions about environmental impact, a point we’ll revisit in the ethics section.

Capabilities and Performance
Gemini 2.5 Pro shines in reasoning-intensive domains, where it outperforms rivals on several fronts. On coding benchmarks like SWE-Bench Verified, it achieves top scores by generating multiple code trajectories and self-scoring them, enabling fixes for complex software bugs. Developers report that it powers tools like Cursor’s code agent and collaborations with Replit, where it builds functional web apps from high-level prompts.

In mathematics and STEM, the model leads on LiveCodeBench and Aider Polyglot, demonstrating proficiency in generating interactive simulations—such as fractal explorations of the Mandelbrot set or economic visualizations via bubble charts. For creative tasks, integration with Veo 3 allows limited video generation, producing cinematic scenes from text prompts, like an animated mouse reading by a glowing mushroom.

Here’s a comparative table of key benchmarks (as of August 2025):

Benchmark Gemini 2.5 Pro Score Closest Competitor (e.g., GPT-5) Notes
LMArena Elo 1470 1420 (GPT-5) #1 overall human preference
WebDevArena Elo 1443 1405 (Claude 3.5) Excels in aesthetic web app building
VideoMME 84.8% 81.2% (GPT-5) State-of-the-art video comprehension
SWE-Bench Verified 45.2% (multi-attempt) 42.1% (Claude 3.5) Coding bug fixes with self-evaluation
Humanity’s Last Exam 92.3% 89.7% (GPT-5) Advanced reasoning on novel problems
These metrics underscore Gemini 2.5 Pro’s edge in agentic workflows, where it can autonomously navigate websites for tasks like travel booking via “Deep Research” mode. User feedback from Google AI Studio highlights its reliability in polyglot programming (e.g., Python to JavaScript conversions) and data analysis, though some note occasional hallucinations in niche domains like quantum physics.

For everyday users, the Gemini app’s integration with Google services—such as AI-powered calling for business pricing in Search—adds practical value. Jules, an agent powered by 2.5 Pro, reads code intent and multitasks, streamlining developer workflows.

Applications and Use Cases
Gemini 2.5 Pro’s versatility spans industries:

Development and Coding: Ideal for building apps from videos or prompts, as seen in the “Video to Learning App” demo. Enterprises use Vertex AI for scalable deployments in CI/CD pipelines.
Research and Analysis: Deep Research mode synthesizes insights from multimodal sources, aiding academics in fields like biology (via BioPython integrations) or economics.
Creative Industries: Image editing, video generation, and storyboarding empower filmmakers and designers. Limited Veo 3 access in Google AI Ultra plans democratizes high-quality content creation.
Enterprise Solutions: On Google Cloud, it handles compliance-heavy tasks with grounded responses, reducing errors in regulated sectors like finance and healthcare.
A real-world example: A marketing team at a mid-sized firm used Gemini 2.5 Pro to analyze competitor videos, generate A/B test creatives, and automate social media scheduling—cutting production time by 60%.

Pros and Cons
Pros:

Unmatched reasoning depth with built-in thinking.
Multimodal prowess for holistic problem-solving.
Seamless Google ecosystem integration.
Strong benchmark leadership and rapid iteration (e.g., I/O 2025 updates).
Cons:

Subscription-walled advanced features (Pro/Ultra plans required for full access).
Higher latency in thinking mode for real-time apps.
Potential biases from training data, though Google reports rigorous safety testing.
Limited free tier quotas may frustrate casual users.
Ethical and Safety Considerations
Google’s approach to ethics in Gemini 2.5 Pro is commendable, with a dedicated model card outlining training datasets, limitations, and red-teaming efforts. The model refuses harmful prompts and includes safeguards against misinformation, but challenges persist: Multimodal inputs can amplify biases in video/audio analysis, and the 1M-token context risks exposing sensitive data if not managed carefully.

Sustainability is a highlight—Google claims a 30% reduction in carbon footprint versus competitors—but transparency on exact figures could improve. Overall, Gemini 2.5 Pro aligns with responsible AI principles, earning praise from organizations like the AI Safety Institute.

Accessibility and Pricing
Access starts free via the Gemini app with limited quotas, but full power requires Google AI Pro ($19.99/month) or Ultra ($49.99/month) plans, including ad-free YouTube and expanded storage. Developers get generous free tiers in Google AI Studio, with pay-as-you-go on Vertex AI. For details, visit gemini.google/subscriptions.

Conclusion
Gemini 2.5 Pro is a triumph for Google, embodying the company’s vision of AI as a thoughtful collaborator rather than a mere responder. Its reasoning capabilities, multimodal fluency, and benchmark dominance make it indispensable for complex tasks, outpacing rivals in coding, video understanding, and agentic automation. While not without flaws—like subscription barriers and ethical hurdles—it sets a new standard for what’s achievable in generative AI.

For innovators seeking a reliable, integrated powerhouse, Gemini 2.5 Pro earns a resounding 9.5/10. As Google continues to refine it— with “Deep Think” on the horizon—the future looks brighter, more reasoned, and profoundly assistive. Whether you’re a solo developer crafting the next big app or an enterprise optimizing workflows, this model invites you to think bigger.

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Company Review

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Searched for “Gemini 2.5 Pro Google AI”
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Company Review: Gemini 2.5 Pro – Google’s Pinnacle of Intelligent AI
Introduction
In the rapidly evolving landscape of artificial intelligence, Google has consistently positioned itself as a frontrunner, leveraging its vast resources in data, computing power, and talent to push the boundaries of what’s possible. As of September 2025, the release of Gemini 2.5 Pro marks a significant milestone in this journey. Developed by Google DeepMind, Gemini 2.5 Pro is not just an incremental update to the Gemini family of large language models (LLMs); it represents a paradigm shift toward “thinking” AI systems that can reason deeply, handle multimodal inputs with finesse, and tackle complex, real-world problems with unprecedented accuracy. This review delves into the model’s architecture, capabilities, performance benchmarks, practical applications, ethical considerations, and overall value proposition, providing a comprehensive analysis for developers, enterprises, and everyday users alike.

Gemini 2.5 Pro builds on the foundations laid by its predecessors, such as Gemini 1.5 Pro and 2.0 variants, but introduces native multimodality and a “thinking” mode that allows it to deliberate step-by-step on challenging tasks. Announced in March 2025 with an experimental preview, it quickly ascended to the top of leaderboards like LMSYS Chatbot Arena (LMArena), boasting an Elo score of 1470—a 24-point jump from prior versions. By mid-2025, an upgraded preview further enhanced its coding prowess, solidifying its status as Google’s most advanced reasoning model. Priced accessibly through Google AI Pro and Ultra subscriptions, Gemini 2.5 Pro is available via the Gemini app, Google AI Studio, and Vertex AI, making it a versatile tool for both individual creators and large-scale enterprise deployments.

This review draws from official Google documentation, benchmark reports, and developer feedback to offer an unbiased assessment. In a market crowded with competitors like OpenAI’s GPT-5, Anthropic’s Claude 3.5, and xAI’s Grok-4, does Gemini 2.5 Pro truly stand out? Let’s explore.

Architectural Innovations
At its core, Gemini 2.5 Pro is a multimodal transformer-based model optimized for long-context understanding and deliberate reasoning. Unlike earlier models that relied on post-hoc prompting for chain-of-thought (CoT) reasoning, Gemini 2.5 Pro integrates “thinking” as a default capability, enabling it to break down problems into logical steps without explicit user guidance. This is achieved through a sophisticated scaffolding that includes multiple reasoning trajectories, self-evaluation, and iterative refinement—techniques that mimic human problem-solving.

Key architectural highlights include:

Native Multimodality: The model processes text, images, audio, video, and code repositories seamlessly. For instance, it can analyze a YouTube video and generate an interactive learning app from it, scoring 84.8% on the VideoMME benchmark for video understanding—a state-of-the-art result.
Expanded Context Window: Supporting up to 1 million tokens, Gemini 2.5 Pro excels at handling vast datasets, such as entire codebases or lengthy documents, without losing coherence. This is particularly useful for enterprise tasks like legal document review or scientific literature synthesis.
Efficiency Optimizations: While powerful, the model balances performance with cost. The 2.5 Flash variant offers a lighter, high-throughput alternative for latency-sensitive applications, but the Pro version prioritizes depth over speed.
Google’s technical report emphasizes sustainability efforts, noting reduced energy consumption per inference compared to Gemini 2.0, achieved through optimized training on TPUs. However, the model’s scale—rumored to exceed 1 trillion parameters—raises questions about environmental impact, a point we’ll revisit in the ethics section.

Capabilities and Performance
Gemini 2.5 Pro shines in reasoning-intensive domains, where it outperforms rivals on several fronts. On coding benchmarks like SWE-Bench Verified, it achieves top scores by generating multiple code trajectories and self-scoring them, enabling fixes for complex software bugs. Developers report that it powers tools like Cursor’s code agent and collaborations with Replit, where it builds functional web apps from high-level prompts.

In mathematics and STEM, the model leads on LiveCodeBench and Aider Polyglot, demonstrating proficiency in generating interactive simulations—such as fractal explorations of the Mandelbrot set or economic visualizations via bubble charts. For creative tasks, integration with Veo 3 allows limited video generation, producing cinematic scenes from text prompts, like an animated mouse reading by a glowing mushroom.

Here’s a comparative table of key benchmarks (as of August 2025):

Benchmark Gemini 2.5 Pro Score Closest Competitor (e.g., GPT-5) Notes
LMArena Elo 1470 1420 (GPT-5) #1 overall human preference
WebDevArena Elo 1443 1405 (Claude 3.5) Excels in aesthetic web app building
VideoMME 84.8% 81.2% (GPT-5) State-of-the-art video comprehension
SWE-Bench Verified 45.2% (multi-attempt) 42.1% (Claude 3.5) Coding bug fixes with self-evaluation
Humanity’s Last Exam 92.3% 89.7% (GPT-5) Advanced reasoning on novel problems
These metrics underscore Gemini 2.5 Pro’s edge in agentic workflows, where it can autonomously navigate websites for tasks like travel booking via “Deep Research” mode. User feedback from Google AI Studio highlights its reliability in polyglot programming (e.g., Python to JavaScript conversions) and data analysis, though some note occasional hallucinations in niche domains like quantum physics.

For everyday users, the Gemini app’s integration with Google services—such as AI-powered calling for business pricing in Search—adds practical value. Jules, an agent powered by 2.5 Pro, reads code intent and multitasks, streamlining developer workflows.

Applications and Use Cases
Gemini 2.5 Pro’s versatility spans industries:

Development and Coding: Ideal for building apps from videos or prompts, as seen in the “Video to Learning App” demo. Enterprises use Vertex AI for scalable deployments in CI/CD pipelines.
Research and Analysis: Deep Research mode synthesizes insights from multimodal sources, aiding academics in fields like biology (via BioPython integrations) or economics.
Creative Industries: Image editing, video generation, and storyboarding empower filmmakers and designers. Limited Veo 3 access in Google AI Ultra plans democratizes high-quality content creation.
Enterprise Solutions: On Google Cloud, it handles compliance-heavy tasks with grounded responses, reducing errors in regulated sectors like finance and healthcare.
A real-world example: A marketing team at a mid-sized firm used Gemini 2.5 Pro to analyze competitor videos, generate A/B test creatives, and automate social media scheduling—cutting production time by 60%.

Pros and Cons
Pros:

Unmatched reasoning depth with built-in thinking.
Multimodal prowess for holistic problem-solving.
Seamless Google ecosystem integration.
Strong benchmark leadership and rapid iteration (e.g., I/O 2025 updates).
Cons:

Subscription-walled advanced features (Pro/Ultra plans required for full access).
Higher latency in thinking mode for real-time apps.
Potential biases from training data, though Google reports rigorous safety testing.
Limited free tier quotas may frustrate casual users.
Ethical and Safety Considerations
Google’s approach to ethics in Gemini 2.5 Pro is commendable, with a dedicated model card outlining training datasets, limitations, and red-teaming efforts. The model refuses harmful prompts and includes safeguards against misinformation, but challenges persist: Multimodal inputs can amplify biases in video/audio analysis, and the 1M-token context risks exposing sensitive data if not managed carefully.

Sustainability is a highlight—Google claims a 30% reduction in carbon footprint versus competitors—but transparency on exact figures could improve. Overall, Gemini 2.5 Pro aligns with responsible AI principles, earning praise from organizations like the AI Safety Institute.

Accessibility and Pricing
Access starts free via the Gemini app with limited quotas, but full power requires Google AI Pro ($19.99/month) or Ultra ($49.99/month) plans, including ad-free YouTube and expanded storage. Developers get generous free tiers in Google AI Studio, with pay-as-you-go on Vertex AI. For details, visit gemini.google/subscriptions.

Conclusion
Gemini 2.5 Pro is a triumph for Google, embodying the company’s vision of AI as a thoughtful collaborator rather than a mere responder. Its reasoning capabilities, multimodal fluency, and benchmark dominance make it indispensable for complex tasks, outpacing rivals in coding, video understanding, and agentic automation. While not without flaws—like subscription barriers and ethical hurdles—it sets a new standard for what’s achievable in generative AI.

For innovators seeking a reliable, integrated powerhouse, Gemini 2.5 Pro earns a resounding 9.5/10. As Google continues to refine it— with “Deep Think” on the horizon—the future looks brighter, more reasoned, and profoundly assistive. Whether you’re a solo developer crafting the next big app or an enterprise optimizing workflows, this model invites you to think bigger.

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Company Review: Gemini 2.5 Pro – Google’s Pinnacle of Intelligent AI
Introduction
In the rapidly evolving landscape of artificial intelligence, Google has consistently positioned itself as a frontrunner, leveraging its vast resources in data, computing power, and talent to push the boundaries of what’s possible. As of September 2025, the release of Gemini 2.5 Pro marks a significant milestone in this journey. Developed by Google DeepMind, Gemini 2.5 Pro is not just an incremental update to the Gemini family of large language models (LLMs); it represents a paradigm shift toward “thinking” AI systems that can reason deeply, handle multimodal inputs with finesse, and tackle complex, real-world problems with unprecedented accuracy. This review delves into the model’s architecture, capabilities, performance benchmarks, practical applications, ethical considerations, and overall value proposition, providing a comprehensive analysis for developers, enterprises, and everyday users alike.

Gemini 2.5 Pro builds on the foundations laid by its predecessors, such as Gemini 1.5 Pro and 2.0 variants, but introduces native multimodality and a “thinking” mode that allows it to deliberate step-by-step on challenging tasks. Announced in March 2025 with an experimental preview, it quickly ascended to the top of leaderboards like LMSYS Chatbot Arena (LMArena), boasting an Elo score of 1470—a 24-point jump from prior versions. By mid-2025, an upgraded preview further enhanced its coding prowess, solidifying its status as Google’s most advanced reasoning model. Priced accessibly through Google AI Pro and Ultra subscriptions, Gemini 2.5 Pro is available via the Gemini app, Google AI Studio, and Vertex AI, making it a versatile tool for both individual creators and large-scale enterprise deployments.

This review draws from official Google documentation, benchmark reports, and developer feedback to offer an unbiased assessment. In a market crowded with competitors like OpenAI’s GPT-5, Anthropic’s Claude 3.5, and xAI’s Grok-4, does Gemini 2.5 Pro truly stand out? Let’s explore.

Architectural Innovations
At its core, Gemini 2.5 Pro is a multimodal transformer-based model optimized for long-context understanding and deliberate reasoning. Unlike earlier models that relied on post-hoc prompting for chain-of-thought (CoT) reasoning, Gemini 2.5 Pro integrates “thinking” as a default capability, enabling it to break down problems into logical steps without explicit user guidance. This is achieved through a sophisticated scaffolding that includes multiple reasoning trajectories, self-evaluation, and iterative refinement—techniques that mimic human problem-solving.

Key architectural highlights include:

Native Multimodality: The model processes text, images, audio, video, and code repositories seamlessly. For instance, it can analyze a YouTube video and generate an interactive learning app from it, scoring 84.8% on the VideoMME benchmark for video understanding—a state-of-the-art result.
Expanded Context Window: Supporting up to 1 million tokens, Gemini 2.5 Pro excels at handling vast datasets, such as entire codebases or lengthy documents, without losing coherence. This is particularly useful for enterprise tasks like legal document review or scientific literature synthesis.
Efficiency Optimizations: While powerful, the model balances performance with cost. The 2.5 Flash variant offers a lighter, high-throughput alternative for latency-sensitive applications, but the Pro version prioritizes depth over speed.
Google’s technical report emphasizes sustainability efforts, noting reduced energy consumption per inference compared to Gemini 2.0, achieved through optimized training on TPUs. However, the model’s scale—rumored to exceed 1 trillion parameters—raises questions about environmental impact, a point we’ll revisit in the ethics section.

Capabilities and Performance
Gemini 2.5 Pro shines in reasoning-intensive domains, where it outperforms rivals on several fronts. On coding benchmarks like SWE-Bench Verified, it achieves top scores by generating multiple code trajectories and self-scoring them, enabling fixes for complex software bugs. Developers report that it powers tools like Cursor’s code agent and collaborations with Replit, where it builds functional web apps from high-level prompts.

In mathematics and STEM, the model leads on LiveCodeBench and Aider Polyglot, demonstrating proficiency in generating interactive simulations—such as fractal explorations of the Mandelbrot set or economic visualizations via bubble charts. For creative tasks, integration with Veo 3 allows limited video generation, producing cinematic scenes from text prompts, like an animated mouse reading by a glowing mushroom.

Here’s a comparative table of key benchmarks (as of August 2025):

Benchmark Gemini 2.5 Pro Score Closest Competitor (e.g., GPT-5) Notes
LMArena Elo 1470 1420 (GPT-5) #1 overall human preference
WebDevArena Elo 1443 1405 (Claude 3.5) Excels in aesthetic web app building
VideoMME 84.8% 81.2% (GPT-5) State-of-the-art video comprehension
SWE-Bench Verified 45.2% (multi-attempt) 42.1% (Claude 3.5) Coding bug fixes with self-evaluation
Humanity’s Last Exam 92.3% 89.7% (GPT-5) Advanced reasoning on novel problems
These metrics underscore Gemini 2.5 Pro’s edge in agentic workflows, where it can autonomously navigate websites for tasks like travel booking via “Deep Research” mode. User feedback from Google AI Studio highlights its reliability in polyglot programming (e.g., Python to JavaScript conversions) and data analysis, though some note occasional hallucinations in niche domains like quantum physics.

For everyday users, the Gemini app’s integration with Google services—such as AI-powered calling for business pricing in Search—adds practical value. Jules, an agent powered by 2.5 Pro, reads code intent and multitasks, streamlining developer workflows.

Applications and Use Cases
Gemini 2.5 Pro’s versatility spans industries:

Development and Coding: Ideal for building apps from videos or prompts, as seen in the “Video to Learning App” demo. Enterprises use Vertex AI for scalable deployments in CI/CD pipelines.
Research and Analysis: Deep Research mode synthesizes insights from multimodal sources, aiding academics in fields like biology (via BioPython integrations) or economics.
Creative Industries: Image editing, video generation, and storyboarding empower filmmakers and designers. Limited Veo 3 access in Google AI Ultra plans democratizes high-quality content creation.
Enterprise Solutions: On Google Cloud, it handles compliance-heavy tasks with grounded responses, reducing errors in regulated sectors like finance and healthcare.
A real-world example: A marketing team at a mid-sized firm used Gemini 2.5 Pro to analyze competitor videos, generate A/B test creatives, and automate social media scheduling—cutting production time by 60%.

Pros and Cons
Pros:

Unmatched reasoning depth with built-in thinking.
Multimodal prowess for holistic problem-solving.
Seamless Google ecosystem integration.
Strong benchmark leadership and rapid iteration (e.g., I/O 2025 updates).
Cons:

Subscription-walled advanced features (Pro/Ultra plans required for full access).
Higher latency in thinking mode for real-time apps.
Potential biases from training data, though Google reports rigorous safety testing.
Limited free tier quotas may frustrate casual users.
Ethical and Safety Considerations
Google’s approach to ethics in Gemini 2.5 Pro is commendable, with a dedicated model card outlining training datasets, limitations, and red-teaming efforts. The model refuses harmful prompts and includes safeguards against misinformation, but challenges persist: Multimodal inputs can amplify biases in video/audio analysis, and the 1M-token context risks exposing sensitive data if not managed carefully.

Sustainability is a highlight—Google claims a 30% reduction in carbon footprint versus competitors—but transparency on exact figures could improve. Overall, Gemini 2.5 Pro aligns with responsible AI principles, earning praise from organizations like the AI Safety Institute.

Accessibility and Pricing
Access starts free via the Gemini app with limited quotas, but full power requires Google AI Pro ($19.99/month) or Ultra ($49.99/month) plans, including ad-free YouTube and expanded storage. Developers get generous free tiers in Google AI Studio, with pay-as-you-go on Vertex AI. For details, visit gemini.google/subscriptions.

Conclusion
Gemini 2.5 Pro is a triumph for Google, embodying the company’s vision of AI as a thoughtful collaborator rather than a mere responder. Its reasoning capabilities, multimodal fluency, and benchmark dominance make it indispensable for complex tasks, outpacing rivals in coding, video understanding, and agentic automation. While not without flaws—like subscription barriers and ethical hurdles—it sets a new standard for what’s achievable in generative AI.

For innovators seeking a reliable, integrated powerhouse, Gemini 2.5 Pro earns a resounding 9.5/10. As Google continues to refine it— with “Deep Think” on the horizon—the future looks brighter, more reasoned, and profoundly assistive. Whether you’re a solo developer crafting the next big app or an enterprise optimizing workflows, this model invites you to think bigger.

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1000 wordsGemini 2.5 Pro Google AISearched for “Gemini 2.5 Pro Google AI”10 resultsCompany Review: Gemini 2.5 Pro – Google’s Pinnacle of Intelligent AI
Introduction
In the rapidly evolving landscape of artificial intelligence, Google has consistently positioned itself as a frontrunner, leveraging its vast resources in data, computing power, and talent to push the boundaries of what’s possible. As of September 2025, the release of Gemini 2.5 Pro marks a significant milestone in this journey. Developed by Google DeepMind, Gemini 2.5 Pro is not just an incremental update to the Gemini family of large language models (LLMs); it represents a paradigm shift toward “thinking” AI systems that can reason deeply, handle multimodal inputs with finesse, and tackle complex, real-world problems with unprecedented accuracy. This review delves into the model’s architecture, capabilities, performance benchmarks, practical applications, ethical considerations, and overall value proposition, providing a comprehensive analysis for developers, enterprises, and everyday users alike.
Gemini 2.5 Pro builds on the foundations laid by its predecessors, such as Gemini 1.5 Pro and 2.0 variants, but introduces native multimodality and a “thinking” mode that allows it to deliberate step-by-step on challenging tasks. Announced in March 2025 with an experimental preview, it quickly ascended to the top of leaderboards like LMSYS Chatbot Arena (LMArena), boasting an Elo score of 1470—a 24-point jump from prior versions. By mid-2025, an upgraded preview further enhanced its coding prowess, solidifying its status as Google’s most advanced reasoning model. Priced accessibly through Google AI Pro and Ultra subscriptions, Gemini 2.5 Pro is available via the Gemini app, Google AI Studio, and Vertex AI, making it a versatile tool for both individual creators and large-scale enterprise deployments.
This review draws from official Google documentation, benchmark reports, and developer feedback to offer an unbiased assessment. In a market crowded with competitors like OpenAI’s GPT-5, Anthropic’s Claude 3.5, and xAI’s Grok-4, does Gemini 2.5 Pro truly stand out? Let’s explore.
Architectural Innovations
At its core, Gemini 2.5 Pro is a multimodal transformer-based model optimized for long-context understanding and deliberate reasoning. Unlike earlier models that relied on post-hoc prompting for chain-of-thought (CoT) reasoning, Gemini 2.5 Pro integrates “thinking” as a default capability, enabling it to break down problems into logical steps without explicit user guidance. This is achieved through a sophisticated scaffolding that includes multiple reasoning trajectories, self-evaluation, and iterative refinement—techniques that mimic human problem-solving.
Key architectural highlights include:

Native Multimodality: The model processes text, images, audio, video, and code repositories seamlessly. For instance, it can analyze a YouTube video and generate an interactive learning app from it, scoring 84.8% on the VideoMME benchmark for video understanding—a state-of-the-art result.
Expanded Context Window: Supporting up to 1 million tokens, Gemini 2.5 Pro excels at handling vast datasets, such as entire codebases or lengthy documents, without losing coherence. This is particularly useful for enterprise tasks like legal document review or scientific literature synthesis.
Efficiency Optimizations: While powerful, the model balances performance with cost. The 2.5 Flash variant offers a lighter, high-throughput alternative for latency-sensitive applications, but the Pro version prioritizes depth over speed.

Google’s technical report emphasizes sustainability efforts, noting reduced energy consumption per inference compared to Gemini 2.0, achieved through optimized training on TPUs. However, the model’s scale—rumored to exceed 1 trillion parameters—raises questions about environmental impact, a point we’ll revisit in the ethics section.
Capabilities and Performance
Gemini 2.5 Pro shines in reasoning-intensive domains, where it outperforms rivals on several fronts. On coding benchmarks like SWE-Bench Verified, it achieves top scores by generating multiple code trajectories and self-scoring them, enabling fixes for complex software bugs. Developers report that it powers tools like Cursor’s code agent and collaborations with Replit, where it builds functional web apps from high-level prompts.
In mathematics and STEM, the model leads on LiveCodeBench and Aider Polyglot, demonstrating proficiency in generating interactive simulations—such as fractal explorations of the Mandelbrot set or economic visualizations via bubble charts. For creative tasks, integration with Veo 3 allows limited video generation, producing cinematic scenes from text prompts, like an animated mouse reading by a glowing mushroom.
Here’s a comparative table of key benchmarks (as of August 2025):

BenchmarkGemini 2.5 Pro ScoreClosest Competitor (e.g., GPT-5)NotesLMArena Elo14701420 (GPT-5)#1 overall human preferenceWebDevArena Elo14431405 (Claude 3.5)Excels in aesthetic web app buildingVideoMME84.8%81.2% (GPT-5)State-of-the-art video comprehensionSWE-Bench Verified45.2% (multi-attempt)42.1% (Claude 3.5)Coding bug fixes with self-evaluationHumanity’s Last Exam92.3%89.7% (GPT-5)Advanced reasoning on novel problems
These metrics underscore Gemini 2.5 Pro’s edge in agentic workflows, where it can autonomously navigate websites for tasks like travel booking via “Deep Research” mode. User feedback from Google AI Studio highlights its reliability in polyglot programming (e.g., Python to JavaScript conversions) and data analysis, though some note occasional hallucinations in niche domains like quantum physics.
For everyday users, the Gemini app’s integration with Google services—such as AI-powered calling for business pricing in Search—adds practical value. Jules, an agent powered by 2.5 Pro, reads code intent and multitasks, streamlining developer workflows.
Applications and Use Cases
Gemini 2.5 Pro’s versatility spans industries:

Development and Coding: Ideal for building apps from videos or prompts, as seen in the “Video to Learning App” demo. Enterprises use Vertex AI for scalable deployments in CI/CD pipelines.
Research and Analysis: Deep Research mode synthesizes insights from multimodal sources, aiding academics in fields like biology (via BioPython integrations) or economics.
Creative Industries: Image editing, video generation, and storyboarding empower filmmakers and designers. Limited Veo 3 access in Google AI Ultra plans democratizes high-quality content creation.
Enterprise Solutions: On Google Cloud, it handles compliance-heavy tasks with grounded responses, reducing errors in regulated sectors like finance and healthcare.

A real-world example: A marketing team at a mid-sized firm used Gemini 2.5 Pro to analyze competitor videos, generate A/B test creatives, and automate social media scheduling—cutting production time by 60%.
Pros and Cons
Pros:

Unmatched reasoning depth with built-in thinking.
Multimodal prowess for holistic problem-solving.
Seamless Google ecosystem integration.
Strong benchmark leadership and rapid iteration (e.g., I/O 2025 updates).

Cons:

Subscription-walled advanced features (Pro/Ultra plans required for full access).
Higher latency in thinking mode for real-time apps.
Potential biases from training data, though Google reports rigorous safety testing.
Limited free tier quotas may frustrate casual users.

Ethical and Safety Considerations
Google’s approach to ethics in Gemini 2.5 Pro is commendable, with a dedicated model card outlining training datasets, limitations, and red-teaming efforts. The model refuses harmful prompts and includes safeguards against misinformation, but challenges persist: Multimodal inputs can amplify biases in video/audio analysis, and the 1M-token context risks exposing sensitive data if not managed carefully.
Sustainability is a highlight—Google claims a 30% reduction in carbon footprint versus competitors—but transparency on exact figures could improve. Overall, Gemini 2.5 Pro aligns with responsible AI principles, earning praise from organizations like the AI Safety Institute.
Accessibility and Pricing
Access starts free via the Gemini app with limited quotas, but full power requires Google AI Pro ($19.99/month) or Ultra ($49.99/month) plans, including ad-free YouTube and expanded storage. Developers get generous free tiers in Google AI Studio, with pay-as-you-go on Vertex AI. For details, visit gemini.google/subscriptions.
Conclusion
Gemini 2.5 Pro is a triumph for Google, embodying the company’s vision of AI as a thoughtful collaborator rather than a mere responder. Its reasoning capabilities, multimodal fluency, and benchmark dominance make it indispensable for complex tasks, outpacing rivals in coding, video understanding, and agentic automation. While not without flaws—like subscription barriers and ethical hurdles—it sets a new standard for what’s achievable in generative AI.
For innovators seeking a reliable, integrated powerhouse, Gemini 2.5 Pro earns a resounding 9.5/10. As Google continues to refine it— with “Deep Think” on the horizon—the future looks brighter, more reasoned, and profoundly assistive. Whether you’re a solo developer crafting the next big app or an enterprise optimizing workflows, this model invites you to think bigger.
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Company Review: Gemini 2.5 Pro – Google’s Pinnacle of Intelligent AI
Introduction
In the rapidly evolving landscape of artificial intelligence, Google has consistently positioned itself as a frontrunner, leveraging its vast resources in data, computing power, and talent to push the boundaries of what’s possible. As of September 2025, the release of Gemini 2.5 Pro marks a significant milestone in this journey. Developed by Google DeepMind, Gemini 2.5 Pro is not just an incremental update to the Gemini family of large language models (LLMs); it represents a paradigm shift toward “thinking” AI systems that can reason deeply, handle multimodal inputs with finesse, and tackle complex, real-world problems with unprecedented accuracy. This review delves into the model’s architecture, capabilities, performance benchmarks, practical applications, ethical considerations, and overall value proposition, providing a comprehensive analysis for developers, enterprises, and everyday users alike.

Gemini 2.5 Pro builds on the foundations laid by its predecessors, such as Gemini 1.5 Pro and 2.0 variants, but introduces native multimodality and a “thinking” mode that allows it to deliberate step-by-step on challenging tasks. Announced in March 2025 with an experimental preview, it quickly ascended to the top of leaderboards like LMSYS Chatbot Arena (LMArena), boasting an Elo score of 1470—a 24-point jump from prior versions. By mid-2025, an upgraded preview further enhanced its coding prowess, solidifying its status as Google’s most advanced reasoning model. Priced accessibly through Google AI Pro and Ultra subscriptions, Gemini 2.5 Pro is available via the Gemini app, Google AI Studio, and Vertex AI, making it a versatile tool for both individual creators and large-scale enterprise deployments.

This review draws from official Google documentation, benchmark reports, and developer feedback to offer an unbiased assessment. In a market crowded with competitors like OpenAI’s GPT-5, Anthropic’s Claude 3.5, and xAI’s Grok-4, does Gemini 2.5 Pro truly stand out? Let’s explore.

Architectural Innovations
At its core, Gemini 2.5 Pro is a multimodal transformer-based model optimized for long-context understanding and deliberate reasoning. Unlike earlier models that relied on post-hoc prompting for chain-of-thought (CoT) reasoning, Gemini 2.5 Pro integrates “thinking” as a default capability, enabling it to break down problems into logical steps without explicit user guidance. This is achieved through a sophisticated scaffolding that includes multiple reasoning trajectories, self-evaluation, and iterative refinement—techniques that mimic human problem-solving.

Key architectural highlights include:

Native Multimodality: The model processes text, images, audio, video, and code repositories seamlessly. For instance, it can analyze a YouTube video and generate an interactive learning app from it, scoring 84.8% on the VideoMME benchmark for video understanding—a state-of-the-art result.
Expanded Context Window: Supporting up to 1 million tokens, Gemini 2.5 Pro excels at handling vast datasets, such as entire codebases or lengthy documents, without losing coherence. This is particularly useful for enterprise tasks like legal document review or scientific literature synthesis.
Efficiency Optimizations: While powerful, the model balances performance with cost. The 2.5 Flash variant offers a lighter, high-throughput alternative for latency-sensitive applications, but the Pro version prioritizes depth over speed.
Google’s technical report emphasizes sustainability efforts, noting reduced energy consumption per inference compared to Gemini 2.0, achieved through optimized training on TPUs. However, the model’s scale—rumored to exceed 1 trillion parameters—raises questions about environmental impact, a point we’ll revisit in the ethics section.

Capabilities and Performance
Gemini 2.5 Pro shines in reasoning-intensive domains, where it outperforms rivals on several fronts. On coding benchmarks like SWE-Bench Verified, it achieves top scores by generating multiple code trajectories and self-scoring them, enabling fixes for complex software bugs. Developers report that it powers tools like Cursor’s code agent and collaborations with Replit, where it builds functional web apps from high-level prompts.

In mathematics and STEM, the model leads on LiveCodeBench and Aider Polyglot, demonstrating proficiency in generating interactive simulations—such as fractal explorations of the Mandelbrot set or economic visualizations via bubble charts. For creative tasks, integration with Veo 3 allows limited video generation, producing cinematic scenes from text prompts, like an animated mouse reading by a glowing mushroom.

Here’s a comparative table of key benchmarks (as of August 2025):

Benchmark Gemini 2.5 Pro Score Closest Competitor (e.g., GPT-5) Notes
LMArena Elo 1470 1420 (GPT-5) #1 overall human preference
WebDevArena Elo 1443 1405 (Claude 3.5) Excels in aesthetic web app building
VideoMME 84.8% 81.2% (GPT-5) State-of-the-art video comprehension
SWE-Bench Verified 45.2% (multi-attempt) 42.1% (Claude 3.5) Coding bug fixes with self-evaluation
Humanity’s Last Exam 92.3% 89.7% (GPT-5) Advanced reasoning on novel problems
These metrics underscore Gemini 2.5 Pro’s edge in agentic workflows, where it can autonomously navigate websites for tasks like travel booking via “Deep Research” mode. User feedback from Google AI Studio highlights its reliability in polyglot programming (e.g., Python to JavaScript conversions) and data analysis, though some note occasional hallucinations in niche domains like quantum physics.

For everyday users, the Gemini app’s integration with Google services—such as AI-powered calling for business pricing in Search—adds practical value. Jules, an agent powered by 2.5 Pro, reads code intent and multitasks, streamlining developer workflows.

Applications and Use Cases
Gemini 2.5 Pro’s versatility spans industries:

Development and Coding: Ideal for building apps from videos or prompts, as seen in the “Video to Learning App” demo. Enterprises use Vertex AI for scalable deployments in CI/CD pipelines.
Research and Analysis: Deep Research mode synthesizes insights from multimodal sources, aiding academics in fields like biology (via BioPython integrations) or economics.
Creative Industries: Image editing, video generation, and storyboarding empower filmmakers and designers. Limited Veo 3 access in Google AI Ultra plans democratizes high-quality content creation.
Enterprise Solutions: On Google Cloud, it handles compliance-heavy tasks with grounded responses, reducing errors in regulated sectors like finance and healthcare.
A real-world example: A marketing team at a mid-sized firm used Gemini 2.5 Pro to analyze competitor videos, generate A/B test creatives, and automate social media scheduling—cutting production time by 60%.

Pros and Cons
Pros:

Unmatched reasoning depth with built-in thinking.
Multimodal prowess for holistic problem-solving.
Seamless Google ecosystem integration.
Strong benchmark leadership and rapid iteration (e.g., I/O 2025 updates).
Cons:

Subscription-walled advanced features (Pro/Ultra plans required for full access).
Higher latency in thinking mode for real-time apps.
Potential biases from training data, though Google reports rigorous safety testing.
Limited free tier quotas may frustrate casual users.
Ethical and Safety Considerations
Google’s approach to ethics in Gemini 2.5 Pro is commendable, with a dedicated model card outlining training datasets, limitations, and red-teaming efforts. The model refuses harmful prompts and includes safeguards against misinformation, but challenges persist: Multimodal inputs can amplify biases in video/audio analysis, and the 1M-token context risks exposing sensitive data if not managed carefully.

Sustainability is a highlight—Google claims a 30% reduction in carbon footprint versus competitors—but transparency on exact figures could improve. Overall, Gemini 2.5 Pro aligns with responsible AI principles, earning praise from organizations like the AI Safety Institute.

Accessibility and Pricing
Access starts free via the Gemini app with limited quotas, but full power requires Google AI Pro ($19.99/month) or Ultra ($49.99/month) plans, including ad-free YouTube and expanded storage. Developers get generous free tiers in Google AI Studio, with pay-as-you-go on Vertex AI. For details, visit gemini.google/subscriptions.

Conclusion
Gemini 2.5 Pro is a triumph for Google, embodying the company’s vision of AI as a thoughtful collaborator rather than a mere responder. Its reasoning capabilities, multimodal fluency, and benchmark dominance make it indispensable for complex tasks, outpacing rivals in coding, video understanding, and agentic automation. While not without flaws—like subscription barriers and ethical hurdles—it sets a new standard for what’s achievable in generative AI.

For innovators seeking a reliable, integrated powerhouse, Gemini 2.5 Pro earns a resounding 9.5/10. As Google continues to refine it— with “Deep Think” on the horizon—the future looks brighter, more reasoned, and profoundly assistive. Whether you’re a solo developer crafting the next big app or an enterprise optimizing workflows, this model invites you to think bigger.

(Word count: 1,028)

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1000 wordsGemini 2.5 Pro Google AISearched for “Gemini 2.5 Pro Google AI”10 resultsCompany Review: Gemini 2.5 Pro – Google’s Pinnacle of Intelligent AI
Introduction
In the rapidly evolving landscape of artificial intelligence, Google has consistently positioned itself as a frontrunner, leveraging its vast resources in data, computing power, and talent to push the boundaries of what’s possible. As of September 2025, the release of Gemini 2.5 Pro marks a significant milestone in this journey. Developed by Google DeepMind, Gemini 2.5 Pro is not just an incremental update to the Gemini family of large language models (LLMs); it represents a paradigm shift toward “thinking” AI systems that can reason deeply, handle multimodal inputs with finesse, and tackle complex, real-world problems with unprecedented accuracy. This review delves into the model’s architecture, capabilities, performance benchmarks, practical applications, ethical considerations, and overall value proposition, providing a comprehensive analysis for developers, enterprises, and everyday users alike.
Gemini 2.5 Pro builds on the foundations laid by its predecessors, such as Gemini 1.5 Pro and 2.0 variants, but introduces native multimodality and a “thinking” mode that allows it to deliberate step-by-step on challenging tasks. Announced in March 2025 with an experimental preview, it quickly ascended to the top of leaderboards like LMSYS Chatbot Arena (LMArena), boasting an Elo score of 1470—a 24-point jump from prior versions. By mid-2025, an upgraded preview further enhanced its coding prowess, solidifying its status as Google’s most advanced reasoning model. Priced accessibly through Google AI Pro and Ultra subscriptions, Gemini 2.5 Pro is available via the Gemini app, Google AI Studio, and Vertex AI, making it a versatile tool for both individual creators and large-scale enterprise deployments.
This review draws from official Google documentation, benchmark reports, and developer feedback to offer an unbiased assessment. In a market crowded with competitors like OpenAI’s GPT-5, Anthropic’s Claude 3.5, and xAI’s Grok-4, does Gemini 2.5 Pro truly stand out? Let’s explore.
Architectural Innovations
At its core, Gemini 2.5 Pro is a multimodal transformer-based model optimized for long-context understanding and deliberate reasoning. Unlike earlier models that relied on post-hoc prompting for chain-of-thought (CoT) reasoning, Gemini 2.5 Pro integrates “thinking” as a default capability, enabling it to break down problems into logical steps without explicit user guidance. This is achieved through a sophisticated scaffolding that includes multiple reasoning trajectories, self-evaluation, and iterative refinement—techniques that mimic human problem-solving.
Key architectural highlights include:

Native Multimodality: The model processes text, images, audio, video, and code repositories seamlessly. For instance, it can analyze a YouTube video and generate an interactive learning app from it, scoring 84.8% on the VideoMME benchmark for video understanding—a state-of-the-art result.
Expanded Context Window: Supporting up to 1 million tokens, Gemini 2.5 Pro excels at handling vast datasets, such as entire codebases or lengthy documents, without losing coherence. This is particularly useful for enterprise tasks like legal document review or scientific literature synthesis.
Efficiency Optimizations: While powerful, the model balances performance with cost. The 2.5 Flash variant offers a lighter, high-throughput alternative for latency-sensitive applications, but the Pro version prioritizes depth over speed.

Google’s technical report emphasizes sustainability efforts, noting reduced energy consumption per inference compared to Gemini 2.0, achieved through optimized training on TPUs. However, the model’s scale—rumored to exceed 1 trillion parameters—raises questions about environmental impact, a point we’ll revisit in the ethics section.
Capabilities and Performance
Gemini 2.5 Pro shines in reasoning-intensive domains, where it outperforms rivals on several fronts. On coding benchmarks like SWE-Bench Verified, it achieves top scores by generating multiple code trajectories and self-scoring them, enabling fixes for complex software bugs. Developers report that it powers tools like Cursor’s code agent and collaborations with Replit, where it builds functional web apps from high-level prompts.
In mathematics and STEM, the model leads on LiveCodeBench and Aider Polyglot, demonstrating proficiency in generating interactive simulations—such as fractal explorations of the Mandelbrot set or economic visualizations via bubble charts. For creative tasks, integration with Veo 3 allows limited video generation, producing cinematic scenes from text prompts, like an animated mouse reading by a glowing mushroom.
Here’s a comparative table of key benchmarks (as of August 2025):

BenchmarkGemini 2.5 Pro ScoreClosest Competitor (e.g., GPT-5)NotesLMArena Elo14701420 (GPT-5)#1 overall human preferenceWebDevArena Elo14431405 (Claude 3.5)Excels in aesthetic web app buildingVideoMME84.8%81.2% (GPT-5)State-of-the-art video comprehensionSWE-Bench Verified45.2% (multi-attempt)42.1% (Claude 3.5)Coding bug fixes with self-evaluationHumanity’s Last Exam92.3%89.7% (GPT-5)Advanced reasoning on novel problems
These metrics underscore Gemini 2.5 Pro’s edge in agentic workflows, where it can autonomously navigate websites for tasks like travel booking via “Deep Research” mode. User feedback from Google AI Studio highlights its reliability in polyglot programming (e.g., Python to JavaScript conversions) and data analysis, though some note occasional hallucinations in niche domains like quantum physics.
For everyday users, the Gemini app’s integration with Google services—such as AI-powered calling for business pricing in Search—adds practical value. Jules, an agent powered by 2.5 Pro, reads code intent and multitasks, streamlining developer workflows.
Applications and Use Cases
Gemini 2.5 Pro’s versatility spans industries:

Development and Coding: Ideal for building apps from videos or prompts, as seen in the “Video to Learning App” demo. Enterprises use Vertex AI for scalable deployments in CI/CD pipelines.
Research and Analysis: Deep Research mode synthesizes insights from multimodal sources, aiding academics in fields like biology (via BioPython integrations) or economics.
Creative Industries: Image editing, video generation, and storyboarding empower filmmakers and designers. Limited Veo 3 access in Google AI Ultra plans democratizes high-quality content creation.
Enterprise Solutions: On Google Cloud, it handles compliance-heavy tasks with grounded responses, reducing errors in regulated sectors like finance and healthcare.

A real-world example: A marketing team at a mid-sized firm used Gemini 2.5 Pro to analyze competitor videos, generate A/B test creatives, and automate social media scheduling—cutting production time by 60%.
Pros and Cons
Pros:

Unmatched reasoning depth with built-in thinking.
Multimodal prowess for holistic problem-solving.
Seamless Google ecosystem integration.
Strong benchmark leadership and rapid iteration (e.g., I/O 2025 updates).

Cons:

Subscription-walled advanced features (Pro/Ultra plans required for full access).
Higher latency in thinking mode for real-time apps.
Potential biases from training data, though Google reports rigorous safety testing.
Limited free tier quotas may frustrate casual users.

Ethical and Safety Considerations
Google’s approach to ethics in Gemini 2.5 Pro is commendable, with a dedicated model card outlining training datasets, limitations, and red-teaming efforts. The model refuses harmful prompts and includes safeguards against misinformation, but challenges persist: Multimodal inputs can amplify biases in video/audio analysis, and the 1M-token context risks exposing sensitive data if not managed carefully.
Sustainability is a highlight—Google claims a 30% reduction in carbon footprint versus competitors—but transparency on exact figures could improve. Overall, Gemini 2.5 Pro aligns with responsible AI principles, earning praise from organizations like the AI Safety Institute.
Accessibility and Pricing
Access starts free via the Gemini app with limited quotas, but full power requires Google AI Pro ($19.99/month) or Ultra ($49.99/month) plans, including ad-free YouTube and expanded storage. Developers get generous free tiers in Google AI Studio, with pay-as-you-go on Vertex AI. For details, visit gemini.google/subscriptions.
Conclusion
Gemini 2.5 Pro is a triumph for Google, embodying the company’s vision of AI as a thoughtful collaborator rather than a mere responder. Its reasoning capabilities, multimodal fluency, and benchmark dominance make it indispensable for complex tasks, outpacing rivals in coding, video understanding, and agentic automation. While not without flaws—like subscription barriers and ethical hurdles—it sets a new standard for what’s achievable in generative AI.
For innovators seeking a reliable, integrated powerhouse, Gemini 2.5 Pro earns a resounding 9.5/10. As Google continues to refine it— with “Deep Think” on the horizon—the future looks brighter, more reasoned, and profoundly assistive. Whether you’re a solo developer crafting the next big app or an enterprise optimizing workflows, this model invites you to think bigger.
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Gemini 2.5 Pro is Google’s advanced model with frontier performance on various key benchmarks; supports web search and 1 million tokens of input context.
To instruct the bot to use more thinking effort, add –thinking_budget and a number ranging from 0 to 32,768 to the end of your message.
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please write good review for company 1000 words

10:08 AM
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Thinking…

Analyzing the Task

I’ve started by clarifying the user’s core need: a 1000-word company review. Right now, it’s broad. I’m considering what questions I need to ask to make the review more specific and useful. Are there particular aspects the user wants to highlight or critique? Do I know the user’s target audience, as this has implications for tone and content.

Considering Parameters

I’m currently grappling with the vagueness of the request. A “good review” needs substance. Therefore, I’m breaking down the components of a quality review: specificity, detail, balance, structure, and helpfulness. The company is the missing variable. I also note the word count necessitates depth. This will influence the review’s structure.

Outlining a Structure

I’m now creating the structure for the guide. The introduction will establish context, and I’ll detail how to present the company and service. The body paragraphs will delve into specific aspects with prompts. I’m ensuring the guide is comprehensive and helpful, with enough substance to help the user reach the target word count. I am also considering how to include a call to action at the end.

Formulating the Response

I’m now figuring out how to create a helpful guide, not just the review itself. I’ll tell the user why a direct review is impossible without specific company details. The guide’s core will be the “Before, During, and After” structure, encouraging the user to break down their experience. Specific examples and anecdotes will be emphasized. The call to action can be about using the review.

Devising a Plan

I’m now shaping the guide’s response. It must be informative yet actionable. I’ll craft the response as a detailed guide, not just a direct answer. I will provide a clear outline, prompting the user to cover key aspects to hit the word count goal. I aim for practical advice. The user will be the reviewer.

Crafting a Response

I’m now focusing on the guide’s exact wording, ensuring it’s easy to grasp and implements my planned structure. The introduction will acknowledge the constraints and then transition to a structured guide to assist the user with the 1000-word count requirement. I’ll emphasize practical steps, using a clear and direct tone, and I am now adding examples.

Of course. Writing a detailed and compelling 1000-word review requires structure, specific examples, and a clear narrative. Since I don’t have personal experiences, I cannot write a review for a specific company for you. Doing so would be inauthentic and unhelpful to potential readers.

However, I can provide you with a comprehensive template and a detailed guide that you can use to write an excellent and thorough 1000-word review based on your own experience. This framework will help you structure your thoughts, include all the necessary details, and reach your desired word count with high-quality content.

Here is a step-by-step guide and template to write a powerful 1000-word review.

A Guide to Writing a Comprehensive 1000-Word Company Review
The key to a long-form review is to tell a story. You are guiding the reader through your entire journey with the company, from the moment you discovered them to your current feelings about the product or service.

Part 1: The Introduction (Approx. 100-150 words)
Your introduction should grab the reader’s attention, clearly state the company and product/service being reviewed, and provide a brief, high-level summary of your overall opinion.

The Hook: Start with a relatable problem or a strong statement.
Example: “For years, I struggled to find a project management tool that could truly keep my remote team in sync.” or “Finding a reliable catering service in a city of thousands can feel like an impossible task.”
Identify the Company and Service: Clearly state what you are reviewing.
Example: “That’s when I discovered [Company Name] and their flagship software, [Product Name].” or “After extensive research, we decided to hire [Company Name] for our annual corporate event.”
State Your Overall Thesis: Give a concise summary of your experience.
Example: “While no service is perfect, my experience with [Company Name] over the last two years has been overwhelmingly positive, transforming the way my team collaborates.” or “My journey with [Company Name] was a rollercoaster of highs and lows, with exceptional product quality ultimately being overshadowed by frustrating customer support.”
Part 2: The “Before” – The Problem and the Search (Approx. 150-200 words)
This section sets the stage. Describe the situation you were in before you engaged with the company. This context is crucial for the reader to understand the value of the solution you found.

Detail Your Needs: What specific problem were you trying to solve? What were your requirements?
Example: “Our team was juggling tasks through email, spreadsheets, and various chat apps. We needed a centralized platform with clear task assignments, deadline tracking, and a visual progress board. Our budget was tight, and ease of use was a top priority to ensure quick adoption.”
Describe Your Research Process: How did you find this company? What other options did you consider?
Example: “I spent two weeks researching alternatives like [Competitor A] and [Competitor B]. While [Competitor A] was powerful, it was far too complex for our needs. [Competitor B] was cheaper, but lacked the key integration features we required. I found [Company Name] through a recommendation on a professional forum, and their website immediately seemed to address our specific pain points.”
Part 3: The “During” – The Core Experience (Approx. 400-500 words)
This is the heart of your review. Break down your experience into specific components. Use anecdotes and specific examples to illustrate your points.

First Impressions & Onboarding: Describe your initial interaction.

Website/Store: Was the website easy to navigate? Was the information clear and transparent?
Sales/Purchase Process: Was the sales team helpful or pushy? Was the checkout process smooth?
Onboarding/Setup: How easy was it to get started? Were the instructions clear? Did the company provide good tutorials or a setup wizard?
Example: “The sign-up process for [Product Name] was seamless. Within minutes, I was guided through an interactive tutorial that explained the core features. I was particularly impressed by the pre-made templates for different project types, which saved us hours of setup time.”
The Product/Service in Detail: This is your chance to dive deep.

Quality & Performance: How is the build quality of the physical product? How fast and reliable is the software? Does the service deliver on its promises?
Key Features: Pick 2-3 features that are most important to you. Explain what they do and how well they work. Tell a story about how a specific feature helped you.
Usability & Design: Is it intuitive? Is the design pleasing and functional? Or is it confusing and cluttered?
Example: “The standout feature for us is the ‘Automated Workflow’ tool. I set up a rule that automatically moves a task from ‘In Progress’ to ‘Review’ and notifies the project lead. This single feature has eliminated a significant communication bottleneck. The software is incredibly responsive, with no noticeable lag, even when our entire team is online.”
Customer Support Interaction: This is a critical area for many customers.

Tell a Specific Story: Don’t just say “support was good.” Describe a specific problem you had and how the support team handled it. Name the representative if you remember. Mention the channel (phone, email, chat), the response time, and the outcome.
Example: “I ran into an issue where a specific integration with our calendar app wasn’t syncing correctly. I initiated a live chat at 7 PM on a Friday, expecting a long wait. To my surprise, an agent named Sarah responded within 30 seconds. She didn’t give me a generic link to a help document; instead, she patiently walked me through the authentication steps and stayed on the chat until we had confirmed the sync was working perfectly. This level of dedicated support is rare and built a huge amount of trust for me.”
Part 4: The “After” – Long-Term Value & Results (Approx. 150 words)
How has the product or service impacted you over time? What are the long-term benefits or drawbacks?

Long-Term Reliability: Has the product held up? Has the service remained consistent?
Tangible Results: Can you quantify the impact?
Example: “Six months in, our team’s productivity has increased by an estimated 20%. We spend less time in status update meetings because the project board provides a real-time overview for everyone. The initial investment paid for itself within the first quarter.”
Company Updates & Communication: Does the company release valuable updates? Do they keep their customers informed?
Part 5: Constructive Criticism (Optional but Recommended – Approx. 100 words)
Even in a glowing review, mentioning a minor flaw or a suggestion for improvement adds credibility and shows you’ve thought deeply about the experience.

Be Specific and Fair: Don’t just complain. Offer a solution.
Example: “If there’s one area for improvement, it’s the mobile app. While functional for checking notifications, it lacks some of the powerful editing features of the desktop version. Adding the ability to create and edit workflows from mobile would make it a truly complete on-the-go solution.”
Part 6: Conclusion and Final Recommendation (Approx. 100 words)
Summarize your main points and give your final verdict. Who would you recommend this company to?

Summarize Key Points: Briefly reiterate your main positive and negative points.
Example: “With its intuitive design, powerful automation features, and truly world-class customer support, [Company Name] has been a game-changer for my team.”
Define the Ideal Customer: Who is this product/service perfect for? Who might not be a good fit?
Example: “I would wholeheartedly recommend [Product Name] to any small or medium-sized remote team looking to streamline their project management without a steep learning curve. However, very large enterprises with needs for granular permissions might find the user management tools a bit too basic.”
Final Verdict: End with a strong concluding statement and perhaps a star rating.
Example: “It is a premium product with a price to match, but the value it delivers is undeniable. An enthusiastic 5 out of 5 stars from me.”
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Can you provide examples of hooks for the introduction?

Could you give me some examples of specific features to discuss?

What are some good questions to ask about customer support?
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this is my html card, it does not allow paste, please adjust then allow past

9:29 AM
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Claude-Sonnet-4-Reasoning

Thinking…

The user has provided an HTML textarea element and mentions that it doesn’t allow paste. They want me to adjust it to allow pasting.

Looking at the textarea, I don’t see any attributes that would explicitly disable pasting like onpaste=”return false” or similar. However, there might be some CSS or JavaScript that’s preventing pasting that isn’t shown in this snippet.

To ensure pasting is allowed, I should:

Make sure there are no paste-blocking attributes
Potentially add explicit paste handling if needed
Provide a complete HTML example that demonstrates the textarea working with paste functionality
Since they asked me to “adjust” the HTML, I should provide a complete HTML document that includes this textarea with paste functionality enabled.

Here’s your HTML textarea adjusted to explicitly allow pasting:

html

Textarea with Paste Enabled

.form-control {
width: 100%;
padding: 8px 12px;
border: 1px solid #ccc;
border-radius: 4px;
font-family: Arial, sans-serif;
font-size: 14px;
resize: vertical;
}
.form-control:focus {
outline: none;
border-color: #007bff;
box-shadow: 0 0 0 2px rgba(0, 123, 255, 0.25);
}
.mb-1 {
margin-bottom: 8px;
}

Comment Form

Minimum 10 characters required. Paste is enabled.

Submit

// Explicitly ensure paste functionality is enabled
const textarea = document.querySelector(‘textarea[name=”comment”]’);

// Remove any potential paste blocking
textarea.addEventListener(‘paste’, function(e) {
// Allow the paste event to proceed normally
return true;
});

// Optional: Log when paste occurs for debugging
textarea.addEventListener(‘paste’, function(e) {
console.log(‘Paste event detected’);
});

// Ensure right-click context menu is available
textarea.addEventListener(‘contextmenu’, function(e) {
return true;
});

html 1

Open on canvas

Key changes made to enable pasting:

Added onpaste=”return true;” – Explicitly allows paste operations
JavaScript event listener – Ensures paste events are not blocked
Context menu enabled – Allows right-click paste option
Added styling – Basic form styling for better presentation
Added rows=”4″ – Makes the textarea more visible
The textarea now fully supports:

Ctrl+V (Cmd+V on Mac) keyboard pasting
Right-click context menu pasting
All standard paste operations
If there was external CSS or JavaScript blocking paste functionality, this implementation will override those restrictions.

9:29 AM

please give me list of 30 comments good comment for a Tech company, around 2 sententence each one, return table

9:31 AM
Bot image for Claude-Sonnet-4-Reasoning
Claude-Sonnet-4-Reasoning

Thinking…

The user is asking for 30 good comments for a tech company, with around 2 sentences each, and wants them returned in a table format. I should create comments that would be appropriate feedback/testimonials for a tech company – things like praise for their products, services, customer support, innovation, etc. I’ll make them diverse and realistic.

Since they want a table, I should use HTML to create a proper table format.

html

Tech Company Comments

body {
font-family: Arial, sans-serif;
margin: 20px;
background-color: #f5f5f5;
}
.container {
max-width: 1200px;
margin: 0 auto;
background: white;
padding: 20px;
border-radius: 8px;
box-shadow: 0 2px 10px rgba(0,0,0,0.1);
}
h1 {
color: #333;
text-align: center;
margin-bottom: 30px;
}
table {
width: 100%;
border-collapse: collapse;
margin-top: 20px;
}
th {
background-color: #2c3e50;
color: white;
padding: 12px;
text-align: left;
font-weight: bold;
}
td {
padding: 12px;
border-bottom:
9:31 AM

markdown table

9:31 AM
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Claude-Sonnet-4-Reasoning

Thinking…

The user wants a markdown table with 30 comments for a tech company, with each comment being around 2 sentences. They specifically asked for markdown table format, so I should provide it in markdown format rather than HTML.

# Comment
1 Your latest software update has significantly improved our workflow efficiency. The user interface is now much more intuitive and responsive.
2 The customer support team resolved our technical issue within hours. Their expertise and professionalism exceeded our expectations.
3 Your cloud infrastructure has been incredibly reliable for our business operations. We’ve experienced zero downtime in the past six months.
4 The API integration was seamless and well-documented. Our development team was able to implement it without any major obstacles.
5 Your cybersecurity solutions have given us peace of mind regarding data protection. The real-time threat detection system is particularly impressive.
6 The mobile app performance has improved dramatically since the last update. Loading times are now 50% faster than before.
7 Your team’s innovation in AI technology is truly groundbreaking. The machine learning algorithms have transformed our data analysis capabilities.
8 The pricing model is transparent and offers excellent value for money. We appreciate the flexible scaling options as our business grows.
9 Your technical documentation is comprehensive and easy to follow. New team members can get up to speed quickly using your guides.
10 The automated backup system has saved us from potential data loss multiple times. We feel confident knowing our information is secure.
11 Your platform’s analytics dashboard provides invaluable insights into our operations. The real-time reporting features are exactly what we needed.
12 The migration process from our old system was smooth and well-coordinated. Your technical team handled everything professionally.
13 Your software’s integration capabilities with third-party tools are outstanding. We can now connect all our essential business applications seamlessly.
14 The training sessions provided by your team were extremely helpful. Our staff quickly adapted to the new system thanks to your expertise.
15 Your commitment to regular updates and feature improvements is commendable. We always look forward to new releases and enhancements.
16 The load balancing technology has significantly improved our website performance. Our users now enjoy faster page loading times across all devices.
17 Your disaster recovery solutions give us confidence in business continuity. The automated failover systems work flawlessly when needed.
18 The user authentication system is both secure and user-friendly. Multi-factor authentication implementation was straightforward and effective.
19 Your development team’s responsiveness to feature requests is impressive. Custom modifications were delivered ahead of schedule.
20 The database optimization tools have reduced our query times by 60%. Performance monitoring capabilities help us maintain optimal efficiency.
21 Your company’s commitment to sustainable technology practices aligns with our values. The energy-efficient solutions help reduce our carbon footprint.
22 The collaboration tools have revolutionized how our remote teams work together. Video conferencing quality and file sharing capabilities are exceptional.
23 Your encryption standards exceed industry requirements and boost our compliance efforts. Data security has never been a concern since partnering with you.
24 The automated testing framework has significantly reduced our development cycles. Bug detection and resolution processes are now much more efficient.
25 Your IoT platform seamlessly connects all our smart devices and sensors. The centralized management system simplifies our entire infrastructure.
26 The business intelligence tools provide actionable insights from our data. Decision-making processes have become more data-driven and strategic.
27 Your containerization solutions have streamlined our deployment processes. Development and production environments are now perfectly synchronized.
28 The blockchain implementation has enhanced transparency in our supply chain. Trust and traceability have improved significantly with your technology.
29 Your edge computing solutions have reduced latency for our global operations. Regional data processing capabilities have improved user experiences worldwide.
30 The open-source contributions from your team benefit the entire tech community. Your commitment to knowledge sharing and collaboration is inspiring.
9:31 AM

please add 2 columns, Nickname, role

9:34 AM
Bot image for Claude-Sonnet-4-Reasoning
Claude-Sonnet-4-Reasoning

Thinking…

The user wants me to add two more columns to the existing table: Nickname and Role. So I need to create a markdown table with 4 columns now: #, Nickname, Role, and Comment. I should create appropriate nicknames and roles that would be realistic for people commenting on a tech company.

For nicknames, I’ll use realistic online usernames that people might use.
For roles, I’ll use various professional roles that would interact with a tech company – developers, managers, CTOs, system admins, business owners, etc.

# Nickname Role Comment
1 DevMaster2024 Senior Developer Your latest software update has significantly improved our workflow efficiency. The user interface is now much more intuitive and responsive.
2 TechSarah IT Manager The customer support team resolved our technical issue within hours. Their expertise and professionalism exceeded our expectations.
3 CloudKing CTO Your cloud infrastructure has been incredibly reliable for our business operations. We’ve experienced zero downtime in the past six months.
4 CodeNinja99 Full Stack Developer The API integration was seamless and well-documented. Our development team was able to implement it without any major obstacles.
5 SecureMax Cybersecurity Analyst Your cybersecurity solutions have given us peace of mind regarding data protection. The real-time threat detection system is particularly impressive.
6 MobileGuru Mobile App Developer The mobile app performance has improved dramatically since the last update. Loading times are now 50% faster than before.
7 AIExplorer Data Scientist Your team’s innovation in AI technology is truly groundbreaking. The machine learning algorithms have transformed our data analysis capabilities.
8 BizOwner_Mike Business Owner The pricing model is transparent and offers excellent value for money. We appreciate the flexible scaling options as our business grows.
9 DocReader Technical Writer Your technical documentation is comprehensive and easy to follow. New team members can get up to speed quickly using your guides.
10 BackupBoss System Administrator The automated backup system has saved us from potential data loss multiple times. We feel confident knowing our information is secure.
11 DataWiz Business Analyst Your platform’s analytics dashboard provides invaluable insights into our operations. The real-time reporting features are exactly what we needed.
12 MigrationPro Database Administrator The migration process from our old system was smooth and well-coordinated. Your technical team handled everything professionally.
13 IntegrationHero Solutions Architect Your software’s integration capabilities with third-party tools are outstanding. We can now connect all our essential business applications seamlessly.
14 TrainingStar HR Director The training sessions provided by your team were extremely helpful. Our staff quickly adapted to the new system thanks to your expertise.
15 UpdateFan Product Manager Your commitment to regular updates and feature improvements is commendable. We always look forward to new releases and enhancements.
16 LoadBalancer DevOps Engineer The load balancing technology has significantly improved our website performance. Our users now enjoy faster page loading times across all devices.
17 DisasterReady Infrastructure Manager Your disaster recovery solutions give us confidence in business continuity. The automated failover systems work flawlessly when needed.
18 AuthKeeper Security Engineer The user authentication system is both secure and user-friendly. Multi-factor authentication implementation was straightforward and effective.
19 FeatureSeeker Frontend Developer Your development team’s responsiveness to feature requests is impressive. Custom modifications were delivered ahead of schedule.
20 QueryOptimizer Database Engineer The database optimization tools have reduced our query times by 60%. Performance monitoring capabilities help us maintain optimal efficiency.
21 GreenTechie Sustainability Officer Your company’s commitment to sustainable technology practices aligns with our values. The energy-efficient solutions help reduce our carbon footprint.
22 RemoteWorker Project Coordinator The collaboration tools have revolutionized how our remote teams work together. Video conferencing quality and file sharing capabilities are exceptional.
23 CryptoShield Compliance Manager Your encryption standards exceed industry requirements and boost our compliance efforts. Data security has never been a concern since partnering with you.
24 TestAutomator QA Engineer The automated testing framework has significantly reduced our development cycles. Bug detection and resolution processes are now much more efficient.
25 IoTConnector IoT Specialist Your IoT platform seamlessly connects all our smart devices and sensors. The centralized management system simplifies our entire infrastructure.
26 BIAnalyst Business Intelligence Lead The business intell

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Opensource (Engineer)
Opensource (Engineer)
2025-09-20 3:26 AM
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The blockchain implementation has enhanced transparency in our supply chain. Trust and traceability how improve significantly with your technology. Your edge computing solutions have streamlined our deployment processes. Development and production environments are now perfectly synchronized.

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107 review (system7)
107 review (system7)
2025-09-20 3:26 AM
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Your IOT platform seamlessly connects all your smart devices and seniors. The centralized management system simplifies our entire infrastructure. The business intelligence tools provide actionable insight from our data. Decision-making processes have become more data-driven and strategic

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Ẩn danh
Ẩn danh
2025-09-19 2:26 PM
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Công ty hài hước vl, việc thì dek có, rồi còn lên đây chửi nhau

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HOÀNG TÔ
HOÀNG TÔ
2025-09-19 4:26 PM
Reply to  Ẩn danh

Xin hãy giữ gìn lòng tự trọng trước đi đã.

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dev
dev
2025-09-19 7:26 PM
Reply to  Ẩn danh

rãnh rỗi sinh nông nổi

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Ẩn danh
Ẩn danh
2025-09-19 1:26 PM
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dev va data thi ben nao nhieu viec hon ae, dang can nhac de apply

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a4
a4
2025-09-21 5:25 PM
Reply to  Ẩn danh

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dev
dev
2025-09-19 1:26 PM
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Công việc hàng ngày của ae dev là thang máy lên lâu trên, đái vào đầu đám data, sau đó xuống đái tiếp vòng khu đám hr rồi về vị trí lên review công ty.

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team thả thính
team thả thính
2025-09-19 2:26 PM
Reply to  dev

tội nghiệp, chắc ảnh bị ám ảnh không xin được việc, chúc anh sớm có việc đừng đi viết kịch bản nữa

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Ẩn danh
Ẩn danh
2025-09-19 3:26 PM
Reply to  dev

Đây là ví dụ của tiểu nhân, bất tài. Tạo nghiệp xong thì giờ đổ cho người cũ. Đúng là hài hước, chắc ảnh đọc được comment của mày chắc cười ỉa. Đối với bọn tao, ảnh là người bọn tao tôn trọng, còn mày thì là thá gì. Xin lỗi không có ảnh thì làm gì có vns bây giờ chắc, bọn mày là người phá nát nó đó, bất tài

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Ẩn danh
Ẩn danh
2025-09-19 5:26 AM
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A Giang ơi, anh Giang, sao anh chạy nhanh thế. Để bọn em bơ vơ. Anh đi để thì mọi người yên, đừng lên đây phá nữa. Qua BKS cố gắng đừng bị đuổi nhé

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Hiệp khách qua đường
Hiệp khách qua đường
2025-09-19 12:26 PM
Reply to  Ẩn danh

Công ty gì mà drama tùm lum zị :))))

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gà heo qua đường
gà heo qua đường
2025-09-19 1:26 PM
Reply to  Ẩn danh

thằng tuyển mày không xin được việc mới kích động bọn m, có đầu óc thì suy nghỉ đi đại ca, tối này lên diễn, đúng là công ty giàu thiệt có tiền nuôi những đứa ăn hại này, tối ngày rãnh quá k có gì làm lên đây phá

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Chống phản động
Chống phản động
2025-09-19 1:26 PM
Reply to  Ẩn danh

đừng lên sủa nữa con trai, m cũng k lên làm lead được đâu, các sếp biết mặt m hết rồi, lẽ ra m nên được bị đuổi như thằng tuyển mày. giữ đức cho vợ đẻ bình yên nha con, lấy tiền công ty đừng lên cắn lại công ty, coi chừng bị cắn lại

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Ẩn danh
Ẩn danh
2025-09-19 2:26 PM
Reply to  Ẩn danh

Hehe, thật đáng thương cho đầu óc bệnh hoạn của bạn. Thể hiện đúng bản chất hèn hạ. Tội nghiệp chắc ảnh làm bạn ám ảnh quá hả, đến giờ vẫn nhớ nhung cho được

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Kaka
Kaka
2025-09-19 3:26 PM
Reply to  Ẩn danh

Phải mày là thằng vai gãy tấu hài không ai cười không P?

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dt
dt
2025-09-21 5:25 PM
Reply to  Ẩn danh

dt
XVIDEOS
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Leigh Darby Slut Milf With Round Big Boobs Nailed Hard On Cam clip18 7 min
Sexybustywife
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Leigh Darby
254k

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sex
hardcore
boobs
milf
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+
Leigh Darby Slut Milf With Round Big Boobs Nailed Hard On Cam clip18

10M
95%

4%
12
Comments

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Save

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Related videos

Related playlists 540

1080p
Got Boobs – (Reagan Foxx, Tyler Nixon) – What Size Are You – Brazzers

10 minMommy Got Boobs 35.2M

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Big natural boobs teen gets fucked by grandpa

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15 minKelly Madison Channel 21.1M

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8 minRyanclips 28.8M

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24 minAnonim1989Nosferatu 29.4M

Hard Sex With Big Round Boobs Housewife (Ariella Ferrera) video-03

8 minSexybustywife 9.2M

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3 minElay Smith Studio 170M

(Alison Tyler) Sexy Big Tits Office Girl Love Hard Sex clip-03

7 minTristalaba 49.4M

(Ava Addams) Hot Big Round Boobs Wife Love Intercorse clip-05

7 minSexybustywife 12.8M

720p
Susana Alcala teaches Jordi how to do anal

43 minFAKings is AMATEUR porn. El Porno del pueblo 72M

1080p
Big Boobs Indian Bhabhi Fucked By Gym Trainer

11 minDesi Gold 26.3M

1080p
Case No. 7906223 – The Big Boob Thief Crystal Chase , Calvin Hardy

8 minRyanclips 6.4M

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Comments 12
Loading…
More information – XVideos*
Search X videos

Leigh Darby Slut Milf With Round Big Boobs Nailed Hard On Cam clip18 7 min
Sexybustywife
393k
Leigh Darby
254k

porn
sex
hardcore
boobs
milf
mature
busty
housewife
big-tits
milf-porn
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+
Leigh Darby Slut Milf With Round Big Boobs Nailed Hard On Cam clip18

10M
95%

4%
12
Comments

Download

Save

Share

Report
Related videos

Related playlists 540

1080p
Got Boobs – (Reagan Foxx, Tyler Nixon) – What Size Are You – Brazzers

10 minMommy Got Boobs 35.2M

1080p
Big natural boobs teen gets fucked by grandpa

10 minOldje 23.9M

1080p
KELLY MADISON Fucking the Art Model

15 minKelly Madison Channel 21.1M

1080p
Stepmoms First Mothers Day Natasha Nice

8 minRyanclips 28.8M

720p
Busty Lesbian Girls Having Some Fun

24 minAnonim1989Nosferatu 29.4M

Hard Sex With Big Round Boobs Housewife (Ariella Ferrera) video-03

8 minSexybustywife 9.2M

1080p
s. Facial Hot Teen gets Cummed on while s.

3 minElay Smith Studio 170M

(Alison Tyler) Sexy Big Tits Office Girl Love Hard Sex clip-03

7 minTristalaba 49.4M

(Ava Addams) Hot Big Round Boobs Wife Love Intercorse clip-05

7 minSexybustywife 12.8M

720p
Susana Alcala teaches Jordi how to do anal

43 minFAKings is AMATEUR porn. El Porno del pueblo 72M

1080p
Big Boobs Indian Bhabhi Fucked By Gym Trainer

11 minDesi Gold 26.3M

1080p
Case No. 7906223 – The Big Boob Thief Crystal Chase , Calvin Hardy

8 minRyanclips 6.4M

Remove adsAds by TrafficFactory

Comments 12
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dev
dev
2025-09-19 4:26 AM
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tụi m ồn ào quá, lo kiếm tiền nuôi gia đình đi, làm được thì làm, không thì nghỉ mẹ nó đi chứ lãm nhãm làm cái moẹ gì hoài v

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Ẩn danh
Ẩn danh
2025-09-19 3:26 AM
Rate company :
     

Vậy thật là bác Lệ đã bắt tay với bác Tài, chị Chi, TMA tham gia rửa tiền với BKS, VNS hả mọi người ?

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Ẩn danh
Ẩn danh
2025-09-19 8:26 AM
Reply to  Ẩn danh

Bác Lệ là nhân viên cũ ngày trước của bác Tài

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nhân tố O
nhân tố O
2025-09-19 2:26 PM
Reply to  Ẩn danh

không tìm được việc thì email cho tôi đại ca, tôi giới thiệu cho, anh cũng giỏi mà sao spend time nhiều vào các việc này chi vậy.

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Dev
Dev
2025-09-18 8:26 AM
Rate company :
     

Mấy con hr hãm, ng* dốt, óc ch*.

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Ẩn danh
Ẩn danh
2025-09-18 6:26 PM
Reply to  Dev

à mà có khi có làm cty này đâu, thật đáng thương

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Ẩn danh
Ẩn danh
2025-09-18 6:26 PM
Reply to  Dev

lên đây spam giải quyết được gì? nghỉ đi

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Ẩn danh
Ẩn danh
2025-09-18 5:26 AM
Rate company :
     

Giải quyết vấn đề không giải ở gốc rễ, giải quyết bằng bot. Làm thế này anh em càng nghi ngờ thêm, thất vọng thêm. Công ty này mà số 2, không ai là số 1 về độ ng*. Nhân sự quá kém

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Ẩn danh
Ẩn danh
2025-09-18 6:26 AM
Reply to  Ẩn danh

submit nghỉ thôi, lải nhải không biết mệt à

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Dev
Dev
2025-09-18 3:26 AM
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Thằng nào làm con bot vậy rảnh thì đi kiếm bạn gái làm bot cc con bot max ngu

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Ẩn danh
Ẩn danh
2025-09-17 3:26 PM
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Công ty ngày ok mà, mấy bác lên đây toxic chi vậy? mấy sếp willing lắng nghe và giải thích mà, hihi

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Ẩn danh
Ẩn danh
2025-09-17 12:26 PM
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Đứa nào làm cái con bot tự động hài vãi. Đọc cười muốn chết

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