Anthropic Acquires Bun!
8th Dec | Superintelligence Newsletter
Hey Superintelligence Fam đ
AI companies are rapidly acquiring core developer infrastructure, and Anthropicâs buyout of Bun signals a new era where owning high-performance runtimes becomes a strategic advantage for next-generation AI coding tools.
As models scale and coding agents mature, controlling foundational layers like JavaScript runtimes could redefine speed, efficiency, and dominance in AI development - reshaping how software is built in an increasingly automated world.
Letâs Dive in
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Anthropic acquires Bun as Claude Code reaches $1B milestone : Anthropic has bought Bun, a high-speed JavaScript runtime, as its AI coding tool Claude Code crosses a US$1 billion run-rate, promising much faster and more efficient AI-powered development.
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UAE aims to produce 60 trillion AI tokens: What are AI tokens and why they matter : The United Arab Emirates plans to mint 60 trillion âAI tokens,â a move signalling its ambition to become a crypto-AI hub and highlighting the growing intersection of AI and blockchain economies.
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DeepSeek V3.2 : DeepSeekâs latest open-weight LLM emphasizes efficiency + power: its novel Sparse Attention enables long-context reasoning and tool-use, making it a strong contender to closed-source giants.
Seedream 4.5 : ByteDanceâs updated image model delivers sharp, realistic visuals with strong subject-locking and faithful multi-image editing â ideal for professional-grade creative and design workflows.
Vidi2 : Vidi2 is an advanced multimodal video-llm: it pinpoints exact timestamps + bounding boxes for objects from text queries, enabling precise video understanding & editing.
DeepSeek-V3.2 : DeepSeek-V3.2 debuts with GPT-5-level reasoning, new Sparse Attention cutting O(L²) to O(Lk), and record-breaking scores: 96% AIME, 99.2% HMMT, and gold medals at IMO/IOI 2025.
Quiet Feature Learning : Researchers uncover âquiet featuresâ - hidden representations Transformers learn during flat-loss phases. Despite no validation improvement, these features are causally essential for later breakthroughs in algorithmic task performance.
SUSVIBES: Is Vibe Coding Safe? : The SUSVIBES benchmark shows LLM agents achieve ~61% functional correctness but only 10.5% secure code, revealing a major safety gap in vibe-coded, minimally supervised software development.
UK lawmakers renewed calls for stricter oversight of frontier AI regulation, while a major audit found leading labs failing to meet global safety standards. Meanwhile, the research industry strengthened accountability by adopting the updated ICC/ESOMAR 2025 ethics code for transparent, responsible AI use.
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Superintelligence Team.










Anthropic's acquisition of Bun is a fascinating vertical integration move that signals something deeper than just tooling optimization. By controlling the JavaScript runtime layer, they're essentially positioning themselves to own the entire developer experience stack for AI-assisted codingâfrom the LLM that generates code to the runtime that executes it.
What's particularly strategic here is the performance angle. Bun's speed advantages (often 2-4x faster than Node.js for many operations) become exponentially more valuable when you're dealing with AI agents that might be generating, testing, and iterating on code thousands of times in rapid succession. The latency savings compound across the development workflow.
The $1B run-rate for Claude Code is impressive validation that coding assistance is moving from "nice to have" to mission-critical infrastructure. Owning Bun gives Anthropic control over optimization opportunities that would be impossible to achieve through partnershipâthey can co-evolve the runtime and the AI model together, potentially adding specialized hooks or instrumentation that benefit their coding agents specifically.
I'd be curious whether this acquisition also reflects Anthropic's view on where coding agents are headedâif future AI systems are going to be autonomously writing, testing, and deploying code at scale, then controlling fast, efficient runtimes becomes a genuine competitive moat. It's reminiscent of how cloud providers vertically integrated to control the full stack from silicon to software.
The poll question about whether this is a smart move seems straightforwardâyes, this is strategic foresight assuming AI coding continues its current trajectory. The real question is whether other AI labs will follow suit with similar infrastructure acquisitions.
âNeural Foundry