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<div style="display: none; max-height: 0px; overflow: hidden;">Apple and Google are teaming up to power Siri with custom AI models. Google's Gemini models will also be used for more Apple Intelligence features </div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fproduct%2Fseer%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=seer-fy26q4-seerlaunch%26utm_content=newsletter-product-lp-learnmore/1/0100019bb7b554d3-f98c4cc6-7f03-4cce-8e86-8dfabe987edb-000000/E_ioCIvvjHhw4fbW5qLZuecVkCP6XmtbJP1GXrM0uzY=439"><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">2026-01-13</span></strong></h1>
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<strong>Sentry's AI Debugger Uses Your Actual Error Data – Not Just Code (Sponsor)</strong>
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Most AI coding tools only see your source code. Seer, <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fproduct%2Fseer%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=seer-fy26q4-seerlaunch%26utm_content=newsletter-product-lp-learnmore/3/0100019bb7b554d3-f98c4cc6-7f03-4cce-8e86-8dfabe987edb-000000/WyNyFlVIy2YoMKi2AHHCxSwQunU6ioaicf04uqL0OVY=439" rel="noopener noreferrer nofollow" target="_blank"><span>Sentry's AI debugging agent</span></a>, sees everything Sentry knows: stack traces, logs, breadcrumbs, spans, commit history, and the full error context. That's why it can <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fproduct%2Fseer%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=seer-fy26q4-seerlaunch%26utm_content=newsletter-product-lp-learnmore/4/0100019bb7b554d3-f98c4cc6-7f03-4cce-8e86-8dfabe987edb-000000/3G7QCJBqX1XWEN4G4lCPe2Z0d0GdPPvfxZbJF8xqb1A=439" rel="noopener noreferrer nofollow" target="_blank"><span>pinpoint root causes with 95% accuracy</span></a> – even in parts of your codebase you've never touched.
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<p><strong>How it works:</strong></p>
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<li>Sentry logs an issue.</li>
<li>Seer analyzes it using all available context.</li>
<li>Seer suggests a fix, opens a PR automatically, or writes unit tests to prevent regressions.</li>
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<p>Seer also scans issues and assigns actionability scores, so teams know which bugs are most likely to be fixable with a code change.</p>
<p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fproduct%2Fseer%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=seer-fy26q4-seerlaunch%26utm_content=newsletter-product-lp-learnmore/5/0100019bb7b554d3-f98c4cc6-7f03-4cce-8e86-8dfabe987edb-000000/rAdwe0Ub6rVkzhAREUJ_X-Fecp4FqPjmEvmFLydPu6o=439" rel="noopener noreferrer nofollow" target="_blank"><span>Try Sentry free →</span></a>
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<strong>Apple's new Google Gemini deal sounds bigger, better than expected (4 minute read)</strong>
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Apple and Google are teaming up to power Siri with custom AI models. Google's Gemini models will also be used for more Apple Intelligence features. Apple's current privacy standards will be upheld as part of the deal. No Apple user data will be accessible to Google.
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<strong>Meta Launches AI Infrastructure Push with Meta Compute (3 minute read)</strong>
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Meta Compute is an initiative to scale Meta's AI infrastructure. It includes plans to build tens of gigawatts of energy capacity over the next decade. CEO Mark Zuckerberg positions infrastructure as a strategic edge. Key leaders have been appointed to drive technical architecture, long-term capacity strategy, and government partnerships.
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<strong>Anthropic introduced Cowork (6 minute read)</strong>
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Claude Cowork is a simpler version of Claude Code built into the Claude Desktop app. Users can assign a folder for Claude to access and guide it via chat, enabling agent-like workflows without complex setup. The tool is in research preview and currently limited to Max subscribers.
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<h1><strong>Deep Dives & Analysis</strong></h1>
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<strong>Digital Red Queen: Adversarial Program Evolution in Core War with LLMs (13 minute read)</strong>
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Core War is a competitive programming game in which battle programs fight for dominance inside a virtual computer. This study explores what happens when large language models drive an adversarial evolutionary arms race where programs continuously adapt to defeat a growing history of opponents rather than a static benchmark. The dynamic adversarial process led to the emergence of increasingly general strategies. The Core War sandbox offers a safe and controlled environment for analyzing how AI agents might evolve in real-world adversarial settings such as cybersecurity.
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<strong>The AI data center deals that no one can verify (10 minute read)</strong>
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The AI industry has announced more than half a trillion dollars of infrastructure commitments over the past year. The headline figures are being priced as if they represent binding, time-certain capex commitments, but the disclosed language and missing definitions make many of them look more like optionality dressed up as commitment. The refusal to standardize terms, define units, and allow any market-based verification suggests the participants prefer a world where scrutiny is expensive. The market is being asked to trust without the tools to verify.
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<strong>When AI writes almost all code, what happens to software engineering? (12 minute read)</strong>
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AI models like Opus 4.5 and GPT-5.2 now write most software code, prompting a shift in software engineering practices. This reduces the value of language expertise and routine coding tasks while increasing the demand for tech leads who are product-minded. Although AI can handle more of the coding workload, engineers will need to oversee complex tasks, emphasizing a hybrid skill set in both product management and technical expertise.
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<strong>Start 2026 on the right foot by giving your team the AI training they need (Sponsor)</strong>
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AI implementation can go sideways due to unclear goals and lack of skills. Ensure your team is ready to harness the full potential of your AI investment with this <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fabout.you.com%2Fai-training-checklist%3Futm_campaign=32665521-TLDR_AI_Q1%26utm_source=external-newsletter%26utm_medium=email%26utm_term=tldrai_secondary_1.13%26utm_content=tldrai_secondary_1.13/2/0100019bb7b554d3-f98c4cc6-7f03-4cce-8e86-8dfabe987edb-000000/JWaIzsrxME3r7f9LOtNA5CCi87wSBGOSXyaDjl3lPIU=439" rel="noopener noreferrer nofollow" target="_blank"><span>AI Training Checklist</span></a> from <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fabout.you.com%2Fai-training-checklist%3Futm_campaign=32665521-TLDR_AI_Q1%26utm_source=external-newsletter%26utm_medium=email%26utm_term=tldrai_secondary_1.13%26utm_content=tldrai_secondary_1.13/3/0100019bb7b554d3-f98c4cc6-7f03-4cce-8e86-8dfabe987edb-000000/P3faUI6eem6cSFhcuMYLJEeFKhjccRrd9v5Po2uzIyw=439" rel="noopener noreferrer nofollow" target="_blank"><span>You.com</span></a>. Set your team—and your AI initiatives—up for success in the new year.
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<p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fabout.you.com%2Fai-training-checklist%3Futm_campaign=32665521-TLDR_AI_Q1%26utm_source=external-newsletter%26utm_medium=email%26utm_term=tldrai_secondary_1.13%26utm_content=tldrai_secondary_1.13/4/0100019bb7b554d3-f98c4cc6-7f03-4cce-8e86-8dfabe987edb-000000/BRkYYH3I-OohcVuKZjD_SqoFMe684tJI0Y-aEaQGN2E=439" rel="noopener noreferrer nofollow" target="_blank"><span>Get the checklist.</span></a>
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<strong>MCP CLI (11 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
mcp-cli is a lightweight command-line tool that streamlines communication with MCP servers, helping AI agents interact with tools and APIs more efficiently while minimizing context window bloat.
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<strong>Map-Augmented Agent (2 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Alibaba introduces a map-augmented agent for image geolocalization, embedding it in a map-guided loop that combines reinforcement learning and parallel test-time inference to improve prediction accuracy.
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<strong>agent-browser (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
agent-browser is a headless browser automation CLI for AI agents. It allows agents to take control of browsers, take screenshots, and extract information from pages. agent-browser can run multiple isolated browser instances. A headed mode is available for debugging.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<strong>DeepSeek Founder Liang's Funds Surge 57% as China Quants Boom (3 minute read)</strong>
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Zhejiang High-Flyer Asset Management posted an average return of 56.6% across its funds in 2025. It was the second-best performer among Chinese quant funds that manage more than 10 billion yuan. High-Flyer has become a cash cow for Liang Wenfeng, DeepSeek's founder, who still holds a majority of the asset manager. DeepSeek's research was funded by High-Flyer's R&D budget. The fund is estimated to have generated revenues of more than $700 million last year.
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<strong>Claude Expands into Healthcare and Life Sciences (8 minute read)</strong>
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Anthropic has launched Claude for Healthcare and expanded Claude for Life Sciences, offering HIPAA-ready tools for medical use and enhanced support for scientific workflows.
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<strong>100x a business with AI (15 minute read)</strong>
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Building effective AI agents requires strong context, memory, and workflow-aligned architecture. They multiply human output by handling routine tasks while humans focus on judgment, and should resolve issues directly rather than just reporting them. Fast deployment and continuous iteration create compounding value, making custom agents far more effective than generic AI SaaS.
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<strong>New Forrester study: Fragmentation is killing AI ROI (Sponsor)</strong>
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<strong>Meta has Appointed a New President (2 minute read)</strong>
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Meta has appointed Dina Powell McCormick as President and Vice Chairman, expanding her role beyond the board to help lead strategy, infrastructure, and capital investment.
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<strong>OpenAI acquires health-care technology startup Torch for $60 million (3 minute read)</strong>
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Torch was building a 'unified medical memory' for AI that brought patient data stored across different vendors and formats into one place.
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<strong>Hearing fresh detail on OpenAI's "To-go" hardware project from last report (2 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
OpenAI's hardware project is a special audio product designed to replace the AirPods.
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<strong>The power user's guide to Codex (6 minute read)</strong>
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In this post, Alexander Embiricos, the product lead for Codex and OpenAI, shares how AI coding agents are actually used in production and breaks down the workflows that make Codex effective at scale.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fcodemanship.wordpress.com%2F2026%2F01%2F12%2Fthe-great-filter-or-why-high-performance-still-eludes-most-dev-teams-even-with-ai%2F%3Futm_source=tldrai/1/0100019bb7b554d3-f98c4cc6-7f03-4cce-8e86-8dfabe987edb-000000/gxoI8S8lF3aTSMmvpz9yQGKQLZTnUtHuCmmFaA7ZwWM=439">
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<strong>The Great Filter (Or Why High Performance Still Eludes Most Dev Teams, Even With AI) (6 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Companies that manage to progress to working with highly iterative, frictionless methods need to invest 20% to 25% of their entire development budget in building and maintaining that capability, and building that capability takes years.
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