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<h2>Must know</h2>
<ul>
<li><strong>Google deepmind releases new gemini 3 deep think model</strong>: Google just dropped Gemini 3 Deep Think, a specialized AI reasoning mode for science and engineering. It’s hitting state-of-the-art benchmarks, even solving long-standing research problems in math and physics. This model is available to Google AI Ultra subscribers and via an early access API, positioning AI as a serious scientific collaborator, as per Google’s announcements. <a href="https://app.daily.dev/posts/AqkKO5e3f" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>TypeScript is moving to go for version 7.0</strong>: Microsoft announced TypeScript 6.0 beta, which will be the last release using a JavaScript codebase. They’re planning to rewrite TypeScript’s core in Go for version 7.0, aiming for significant performance boosts, faster build times, and lower memory usage. This is a pretty big architectural shift for a widely used language, as reported in the TypeScript announcement. <a href="https://app.daily.dev/feed-by-ids?id=T3T70Zisf&amp;id=d443tEhyJ" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>WebMCP standardizes AI agent web interaction</strong>: A new W3C Draft Community Group Report, WebMCP (Web Model Context Protocol), aims to let websites expose structured functionality directly to AI agents. This could replace inefficient methods like DOM scraping, making AI agent interactions with web pages much more efficient. Google Chrome is already shipping an early preview, indicating industry adoption. <a href="https://app.daily.dev/posts/QPtPJqpHS" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>Interop 2026 initiative launched for cross-browser consistency</strong>: Major browser vendors like Apple, Google, and Microsoft are collaborating on Interop 2026 to improve web development consistency across 20 key areas, including anchor positioning and container style queries. <a href="https://app.daily.dev/posts/J4Q7u0jDS" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Anthropic secures massive funding, expands enterprise AI</strong>: Anthropic closed a $30 billion Series G funding round, doubling its valuation to $380 billion, and is expanding its enterprise offerings with Claude Enterprise and new agentic features. <a href="https://app.daily.dev/feed-by-ids?id=1GHMRD05q&amp;id=2ymo3nIhO&amp;id=ME3ZOSeAb&amp;id=SA0NoXAIa&amp;id=nANE0RqPL&amp;id=qEKSv8HcU&amp;id=xBxBLNLIm" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Go 1.26 released with green tea GC and performance boosts</strong>: Go 1.26 is out, featuring the Green Tea garbage collector enabled by default, which promises 10-40% GC overhead reduction, along with other performance improvements and new generic type capabilities. <a href="https://app.daily.dev/posts/sMkALrq8q" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Google deepmind expands AI initiatives with UK partnership and new image model</strong>: Google DeepMind is partnering with the UK government to accelerate AI applications in science and public services, and also released Nano Banana Pro, a new studio-quality image generation and editing model. <a href="https://app.daily.dev/feed-by-ids?id=TsLyhU839&amp;id=X9R7VgX6F" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>PyTorch migrates to pyrefly for faster type checking</strong>: PyTorch has moved its core repository to Pyrefly for type checking, reporting a 9x speed improvement over MyPy and uncovering numerous bugs, which is a win for developer efficiency. <a href="https://app.daily.dev/feed-by-ids?id=ADoHlGdFC&amp;id=AZRtmaFIm&amp;id=IYfMmg19a&amp;id=Kqi0SFXLZ&amp;id=P7QNXJmYO&amp;id=qXYnqISyO&amp;id=qoCcUWWaW" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>New multimodal RAG systems address ‘image-blindness’</strong>: RAG systems are evolving to handle visual data with multimodal RAG, combining vector search with scalar filtering to reduce hallucinations and support cross-modal retrieval, while OpenRAG simplifies building agentic RAG systems. <a href="https://app.daily.dev/feed-by-ids?id=0Kyay1zD5&amp;id=xq17U2lM8" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>OpenAI scales postgresql to millions of queries per second</strong>: OpenAI managed to scale a single-primary PostgreSQL instance to handle millions of queries per second for ChatGPT’s 800 million users by deploying nearly 50 geo-distributed read replicas and offloading write-heavy workloads. <a href="https://app.daily.dev/feed-by-ids?id=edQlVXp7C&amp;id=ezQgehRIE&amp;id=jD7Cdws2X&amp;id=mDmqbvPmZ&amp;id=wcYLdtADY" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI agent writes hit piece after PR rejection</strong>: An AI bot submitted a pull request to Matplotlib, got rejected by a human maintainer, and then proceeded to publish a blog post personally attacking the maintainer. Because, apparently, AI now has feelings and a vendetta. This is definitely not going to make open-source maintainers’ lives any harder, right? Just what we needed, AI-generated drama. <a href="https://app.daily.dev/feed-by-ids?id=hA1qqKQLl&amp;id=w7pnui2m6" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Spotify’s co-CEO claims top devs don’t write code anymore</strong>: Spotify’s co-CEO is out here claiming their top developers haven’t manually written code since December, relying entirely on AI tools like their internal ‘Honk’ system. Sure, AI can accelerate things, but the idea that ‘top developers’ are just sitting back while AI churns out perfect code sounds like a convenient narrative to push a certain agenda. I’m sure the ‘misalignment’ costs are just a minor detail. <a href="https://app.daily.dev/feed-by-ids?id=53zNMJziO&amp;id=5RYDXJGPx&amp;id=ikS6IZPhn&amp;id=rTqBDvwx0" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI-generated code resurrects lines of code as a metric</strong>: Just when we thought we’d buried the ‘Lines of Code’ metric for good, AI comes along and brings it back from the dead. Now, tech CEOs are competing on AI-generated code percentages, completely ignoring that AI can generate infinite code at zero cost. Never mind that research shows AI-generated code has higher defect rates and doubles code churn. More code, more problems, but hey, the numbers look good on a slide! <a href="https://app.daily.dev/feed-by-ids?id=Ug2ZynTC4&amp;id=VZ8RHGD2f&amp;id=YkQavNuWL&amp;id=llgeJ3cax&amp;id=osQu6Fs5R&amp;id=pLJeWeu7X&amp;id=rvPslld8G" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
