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<div style="display: none; max-height: 0px; overflow: hidden;">GPT-5.1-Codex-Max is trained to operate across multiple context windows through "compaction", allowing it to work over millions of tokens </div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fproduct%2Fai-code-review%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=aicodereview-fy26q4-aicodereviewlaunch%26utm_content=newsletter-product-lp-learnmore/1/0100019aa19e1427-0326f0c2-2cea-4bf5-99c9-9edf36dafec2-000000/LowisI_X88oaOOdYScR2KPft86lTKR1GDEe9Q2a_puw=432"><img src="https://images.tldr.tech/sentry50.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Sentry"></a></td></tr></tbody></table>
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<h1><strong>TLDR AI <span id="date">2025-11-20</span></strong></h1>
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<strong>Your AI code reviewer doesn't know what actually breaks. Sentry's does. (Sponsor)</strong>
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Generic AI code review catches typos, style issues, and things that <em>might</em> be a problem. <a class="underline" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fproduct%2Fai-code-review%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=aicodereview-fy26q4-aicodereviewlaunch%26utm_content=newsletter-product-lp-learnmore/3/0100019aa19e1427-0326f0c2-2cea-4bf5-99c9-9edf36dafec2-000000/yO0FDuIDzqUtme5cW2yguncyBWOmU8VLvBrKx3MUDAk=432" rel="noopener noreferrer nofollow" target="_blank"><span>Sentry's AI code reviewer (AKA Seer)</span></a> knows exactly which changes will cause issues based on what's broken before, in your actual environment.
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<p>Like most things AI, the secret is better context...</p>
<p>→ Sentry already monitors your production errors and performance.</p>
<p>→ Seer AI Code Review uses Sentry's data + your code + commit history to review your PRs.</p>
<p>→ Seer can even <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fproduct%2Fai-code-review%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=aicodereview-fy26q4-aicodereviewlaunch%26utm_content=newsletter-product-lp-learnmore/4/0100019aa19e1427-0326f0c2-2cea-4bf5-99c9-9edf36dafec2-000000/fX5dP78M4ODsCQ1Vd42NgE5AmRLL_euarHBjJcuhAXs=432" rel="noopener noreferrer nofollow" target="_blank"><span>auto-generate unit tests for your PRs</span></a>. Because tested code breaks less!</p>
<p>Start catching the bugs that actually take down production. <a class="underline" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fproduct%2Fai-code-review%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=aicodereview-fy26q4-aicodereviewlaunch%26utm_content=newsletter-product-lp-learnmore/5/0100019aa19e1427-0326f0c2-2cea-4bf5-99c9-9edf36dafec2-000000/445TC0lfweomglCF4NjssPVtyA3JPHsSGbYfTPHQYjs=432" rel="noopener noreferrer nofollow" target="_blank"><span>Try AI Code Review (in beta)</span></a>
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<h1><strong>Headlines & Launches</strong></h1>
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<strong>Building more with GPT-5.1-Codex-Max (7 minute read)</strong>
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GPT-5.1-Codex-Max is trained to operate across multiple context windows through "compaction", allowing it to work over millions of tokens and complete tasks spanning 24+ hours. The model achieves 77.9% on SWE-bench Verified while using 30% fewer thinking tokens than its predecessor.
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<strong>Elon Musk's xAI Is in Advanced Talks to Raise $15 Billion, Lifting Valuation (2 minute read)</strong>
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xAI is in advanced talks to raise $15 billion in new equity at a $230 billion valuation. The startup has raised billions of dollars to compete with OpenAI and expand the capabilities of its chatbot, Grok. The startup recently lost several senior executives. It was previously valued at $113 billion in March after it acquired social media site X.
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<h1><strong>Deep Dives & Analysis</strong></h1>
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<strong>Google Has Your Data. Gemini Barely Uses It (13 minute read)</strong>
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Google is dramatically under-capitalizing on the strongest context position in the industry. Gemini hides its workspace connector in its settings, treating it as an optional enhancement, not the center of the product. This is almost certainly because Google is trying to play it safe. The company has an opportunity to turn its dormant context advantage into experiences that would be impossible anywhere else.
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<strong>My GPT-5.1 Pro Review (10 minute read)</strong>
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GPT-5.1 Pro is a slow, heavy-weight reasoning model that feels intelligent and can handle tough problems. It follows instructions well without going off the rails, making it feel like a contract engineer working from a spec rather than an assistant. Its biggest weakness is its interface, as is lives in ChatGPT, not in the IDE. Gemini 3 is still better for most day-to-day work. However, GPT-5.1-Pro wins in deep thought, planning, and research.
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<strong>How evals drive the next chapter in AI for businesses (9 minute read)</strong>
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OpenAI published a framework arguing that evaluation systems ("evals") are bridge between AI's probabilistic nature and business outcomes that breakdown into three phases: 1) experts defining success, 2) stress-test systems with real-world edge cases, and 3) continuous monitoring to build proprietary datasets that compound into competitive moats.
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<strong>Gemini 3 Prompting: Best Practices for General Usage (6 minute read)</strong>
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Gemini 3 Pro responds best to direct, structured prompts with behavioral constraints placed at the top rather than scattered throughout. Unlike previous versions, it defaults to concise responses unless explicitly asked to be conversational. The model handles long contexts better when instructions appear after data rather than before and treats multimodal inputs as equal-class data requiring explicit cross-modal instructions. It benefits from explicit planning steps with self-critique loops using XML or Markdown formatting.
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<h1><strong>Engineering & Research</strong></h1>
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<strong>There's a hidden productivity crisis in IT - and AI might me making it worse (Sponsor)</strong>
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Miro's new <a class="underline" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmiro.com%2Fevents%2Fhidden-productivity-crisis-research-it-leaders%2F%3Futm_campaign=tldr-ai-placement%26utm_source=TLDR%26utm_medium=newsletter%26utm_content=Sponsorship%26src=-newsletter_glb/2/0100019aa19e1427-0326f0c2-2cea-4bf5-99c9-9edf36dafec2-000000/dBtEb3ktQn2GZsZs6RvbZZORMJzaRWJbD6qE6rmvVa0=432" rel="noopener noreferrer nofollow" target="_blank"><span><em>Momentum at Work</em></span></a> report shows 69% of IT leaders report workflow disruption from employees toggling between core tools and AI apps. Worse: 33% see AI actually increasing organizational silos. <a class="underline" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmiro.com%2Fevents%2Fhidden-productivity-crisis-research-it-leaders%2F%3Futm_campaign=tldr-ai-placement%26utm_source=TLDR%26utm_medium=newsletter%26utm_content=Sponsorship%26src=-newsletter_glb/3/0100019aa19e1427-0326f0c2-2cea-4bf5-99c9-9edf36dafec2-000000/wmM8G1oEgjcuOI4L3PC3_7jQspwhEWPc4eO6BaTubnU=432" rel="noopener noreferrer nofollow" target="_blank"><span>Get the full report</span></a> or read <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmiro.com%2Fblog%2Fthree-insights-it-leaders-planning-ai-transformation%2F%3Futm_campaign=tldr-ai-placement%26utm_source=TLDR%26utm_medium=newsletter%26utm_content=Sponsorship%26src=-newsletter_glb/1/0100019aa19e1427-0326f0c2-2cea-4bf5-99c9-9edf36dafec2-000000/HoA_2C-2VIrqI-Yy5UeWFB-CZX4SIXx1r9BI5VgYXfw=432" rel="noopener noreferrer nofollow" target="_blank"><span>key takeways and insights from IT leaders at GitHub, AWS, and Red Hat on the Miro blog.</span></a>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fpytorch.org%2Fblog%2Fpina-joins-the-pytorch-ecosystem-a-unified-framework-for-scientific-machine-learning%2F%3Futm_source=tldrai/1/0100019aa19e1427-0326f0c2-2cea-4bf5-99c9-9edf36dafec2-000000/KjiFImZKCuDhx4mFy8JVpRuOeO0TXFAWoeoqCNmPa6c=432">
<span>
<strong>Scientific ML in Pytorch (5 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
PINA, a new open-source library for Scientific Machine Learning, is now part of the PyTorch ecosystem. It offers a modular, scalable workflow for modeling scientific systems, including PDE solvers and physical simulations.
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<strong>Meta Open-Sources SAM 3 for Smarter Segmentation (15 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Meta open-sourced SAM 3 with major updates to its segmentation model, including support for text and visual prompts. It can now track and segment objects across video, enabling more flexible media workflows.
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<strong>The secret behind Gemini 3 (1 minute read)</strong>
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The secret behind Gemini 3 is improved pre-training and post training. The pre-training team delivered a massive jump using scaling. Post-training is still a total greenfield. There is a lot of room for algorithm progress and improvement.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Farstechnica.com%2Fai%2F2025%2F11%2Fwere-in-an-llm-bubble-hugging-face-ceo-says-but-not-an-ai-one%2F%3Futm_source=tldrai/1/0100019aa19e1427-0326f0c2-2cea-4bf5-99c9-9edf36dafec2-000000/8S6OFazzjZ-P7ZxIB0Ct1-in3i5w5-0ADdgHpqf7r0s=432">
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<strong>“We're in an LLM bubble,” Hugging Face CEO says—but not an AI one (3 minute read)</strong>
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Clem Delangue, CEO of Hugging Face, says that the LLM bubble may be bursting next year. However, that doesn't mean that 'AI' will collapse - LLMs are just a subset of AI technology. We are still at the very beginning of AI, and we'll see much more in the next few years. It is more likely that we will end up with a multitude of models that can solve many different problems rather than one type of model that will solve all problems for all companies.
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<strong>alphaXiv raises $7M in funding to become the GitHub of AI research (3 minute read)</strong>
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alphaXiv has raised $7 million in seed funding in a round co-led by Menlo Ventures and Haystack. The startup aims to help engineers transform the latest academic discoveries into cutting-edge AI features by streamlining their paths from research to production. Its platform allows researchers to publish their latest papers, connecting them to engineers who use the knowledge to create new AI features. alphaXiv aims to become the de facto global workspace for AI researchers.
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<strong>A free version of ChatGPT built for teachers (6 minute read)</strong>
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OpenAI launched ChatGPT for Teachers, offering verified US K–12 educators free access to GPT-5.1 Auto with Google Drive and Microsoft 365 integrations, education-grade security, and admin controls.
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<strong>Internal documents show how many people are using Meta's Vibes AI feed each day (5 minute read)</strong>
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Meta's Vibes AI video feed had 2 million daily active users as of early November.
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<strong>Larry Summers resigns from OpenAI board amid Epstein revelations (1 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
The Former Treasury Secretary resigned from OpenAI's board following a House panel's release of years of email exchanges with Jeffrey Epstein including messages where Summers appeared to seek relationship advice.
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