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<div style="display: none; max-height: 0px; overflow: hidden;">OpenAI's GPT‑5.3‑Codex is a faster agentic coding model that combines GPT‑5.2‑Codex’s coding performance with GPT‑5.2’s reasoning </div>
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<h1><strong>TLDR AI <span id="date">2026-02-06</span></strong></h1>
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<strong>Superagent: Deep analysis for deep questions. (Sponsor)</strong>
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Superagent is Airtable's new standalone product: an AI that deeply interrogates your business questions by building a wide-reaching research plan, deploying agents at scale to execute, and scouring credible sources to build a complete answer.<p></p><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsuperagent.com%2F%3Futm_ID=rec9gVC1T692RbEx4%26utm_source=tldr%26utm_medium=paidnewsletter%26utm_campaign=superagentlaunchairtable%26utm_content=primary/3/0100019c334dd53e-e68622d7-5fa5-4f86-b9ca-f2dfd88c3ba0-000000/c_pt7E3OnBixCdTOF8MQS29wREPlaRGJ4b9l8sw4yzU=443" rel="noopener noreferrer nofollow" target="_blank"><span>Ask Superagent</span></a> to create a business plan, a competitive analysis, or a marketing deck and it will deliver polished, boardroom-level output, such as:</p>
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<h1><strong>Headlines & Launches</strong></h1>
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<strong>GPT-5.3-Codex (11 minute read)</strong>
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OpenAI's GPT‑5.3‑Codex is a faster agentic coding model that combines GPT‑5.2‑Codex's coding performance with GPT‑5.2's reasoning and professional knowledge.
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<strong>Claude Opus 4.6 (12 minute read)</strong>
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Anthropic has released Claude Opus 4.6, an upgraded flagship model with stronger agentic coding, longer task persistence, and improved performance in large codebases. The model introduced a 1M-token context window in beta and achieved state-of-the-art results across several reasoning, coding, and economically valuable work evaluations.
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<h1><strong>Deep Dives & Analysis</strong></h1>
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<strong>Mind The GAAP Again (16 minute read)</strong>
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OpenAI desperately needs cash because it lacks economies of scale. Microsoft is shipping billions to OpenAI because it would be disastrous for the company if OpenAI went under. $10 billion of OpenAI's revenue may have been effectively a subsidy from Microsoft. This means that OpenAI was charging subscribers around 25% of what they were costing. OpenAI would have significantly fewer subscribers with an $80 per month subscription.
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<strong>I spent $10,000 to automate my research at OpenAI with Codex (6 minute read)</strong>
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Many people drastically underestimate what Codex can do. This post shares a simple setup that is routinely allocated hundreds of millions of tokens. The author spent $10,000 on API costs this month. The post also shares some killer use-cases for Codex, and reflects on how organizations might become significantly more efficient in the near future.
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<h1><strong>Engineering & Research</strong></h1>
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<strong>Join Microsoft and CData to Build an Agentic Infrastructure that's Secure and Scalable (Sponsor)</strong>
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Join CData and Microsoft on 2/18 for a live build of secure, cross-functional agentic workflows spanning CRM, ERP, and billing. Get Microsoft's best practices to build an agentic infrastructure and how CData Connect AI provides the connectivity, context, and control to move agents from POC to production. <a class="Hyperlink SCXW38762031 BCX0" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.cdata.com%2Fresources%2Fworkshop-build-copilot-agent-with-microsoft%2F%3Futm_source=tldr-ai%26utm_medium=newsletter%26utm_campaign=26Q1_Microsoft_Copilot_Webinar/2/0100019c334dd53e-e68622d7-5fa5-4f86-b9ca-f2dfd88c3ba0-000000/yd9A0Gx1K1qWWx0omNgTNkmLpeZvinFFLOMHwjt9Z3k=443" rel="noreferrer noopener" target="_blank"><span>Register here to join.</span></a>
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<strong>Vercel v0 Adds Production-Grade Features (4 minute read)</strong>
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The new v0 expands from demo tooling into a full production-ready platform with enterprise-grade security, integrations, and support for building and deploying real software with AI.
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Multiple Claude instances worked in parallel to build a Rust-based C compiler capable of compiling the Linux 6.9 kernel. This approach reduced human supervision and explored autonomous LLM agent capabilities via stress tests and a $20,000, 2,000-session effort. The compiler, while functional, has limitations like inefficient code and reliance on GCC for some features.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<strong>On Recursive Self-Improvement (Part I) (18 minute read)</strong>
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The automation of AI research and engineering will begin in earnest this year. This will create at least a step-change improvement in AI progress. It could also change the dynamics of AI competition, alter AI geopolitics, and much more. There will be more AI progress this year than in all of the years that have come before, and that's a conservative forecast.
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Google's first-party models now process more than 10 billion tokens per minute via direct API usage. This is a 52x increase year-over-year. Google is committing capital at an unprecedented scale to fuel this growth. The level of investment signals the company's conviction that the demand for tokens is only just beginning.
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ElevenLabs CEO Mati Staniszewski claims voice is poised to become the primary interface for AI, surpassing text and screens.
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