× + newsletter-2026-03-11
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// Tech news at terminal velocity

cat 2026-03-11.md

The Pentagon's AI Shopping Spree, Anthropic's Think Tank, and the End of 'AI as Text'

$ cat TLDR.md

• Anthropic launches a new think tank while fighting a Pentagon blacklist, just as Google steps in to provide the DoD with AI agents.

• GitHub declares the 'era of AI as text is over' with a new Copilot SDK focused on agentic execution.

• Meta acquires AI agent social network Moltbook, and Google teams up with Tesla to rethink the electrical grid.

Headlines & Launches

🏛️ Anthropic's Think Tank Pivot

Amid a messy Pentagon blacklist and a lawsuit, Anthropic is shaking up its C-suite and launching the 'Anthropic Institute.' Because when the White House calls you 'radical left, woke,' the logical next step is to start a think tank to prove how serious you are.

Source: The Verge

🪖 Google's Pentagon Play

While Anthropic fights the DoD over autonomous weapons, Google is happily stepping in to provide the Pentagon with AI agents for 'unclassified work.' Nature abhors a vacuum, and defense contractors abhor leaving money on the table.

Source: Bloomberg

🤝 Meta Acquires Moltbook

Meta just scooped up Moltbook, the viral AI agent social network built on OpenClaw. Because if you can't get real humans to engage with your platform, you might as well buy a network of bots that will happily talk to each other all day.

Source: Ars Technica

Google & Tesla Launch 'Utilize'

The two tech giants are teaming up to launch Utilize, a new venture aimed at changing how the electrical grid is managed and regulated. When the companies building the power-hungry data centers and EVs decide they need to fix the grid themselves, you know things are getting serious.

Source: TechCrunch

Deep Dives

⚖️ AI Rewriting Open Source Licenses

We know LLMs can rewrite code, but what happens when they rewrite the license attached to it? A fascinating look at whether AI-generated code is clean 'reverse engineering' or just an LLM-filtered 'derivative work' that strips away legal protections. The lawyers are going to love this one.

Source: Ars Technica

⌨️ The Era of 'AI as Text' is Over

GitHub is shifting Copilot from prompt-response interactions to programmable execution with a new SDK. They're betting that the future of AI isn't chatting with a bot in a sidebar, but embedding agentic workflows directly into your applications. Execution is the new interface.

Source: The GitHub Blog

🗺️ Standardizing Source Maps

Bloomberg's engineering team dives deep into the effort to standardize source maps in JavaScript. It's not the flashiest topic, but if you've ever tried to debug minified code in production while questioning your life choices, you know this is doing the Lord's work.

Source: Bloomberg JS Blog

Engineering & Research

🏎️ AutoKernel: Autoresearch for GPU Kernels

A new open-source project that automates the research and optimization of GPU kernels. If you're tired of hand-tuning CUDA code and praying to the compiler gods, this might be your new best friend.

Source: GitHub

🗣️ TADA: Fast, Reliable Speech Generation

Hume AI just open-sourced TADA, a new approach to speech generation that uses text-acoustic synchronization. It promises faster, more reliable voice synthesis without the usual latency hiccups that make AI sound like it's buffering its thoughts.

Source: Hume AI Blog

🛠️ Zig's Type Resolution Redesign

The Zig programming language is getting a major overhaul to its type resolution system. The latest devlog breaks down the language changes and what they mean for the future of this beloved C alternative.

Source: Zig Devlog

Odds & Ends

🔣 U+237C ⍼ Is Azimuth

A delightful rabbit hole into the origins of the obscure Unicode character U+237C (the right angle with a downward zigzag arrow). Spoiler: It's called Azimuth, and its history is as weird and convoluted as the symbol itself.

Source: Ionathan's Blog

📝 Writing a Text Editor from Scratch

One developer's journey of writing their own text editor and actually daily-driving it. Because why use VS Code when you can spend 400 hours building a slightly worse version yourself just to prove a point?

Source: JS Barretto's Blog

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