U.S. senator Bernie Sanders just said he will introduce a bill that would put a one-time 50% tax on OpenAI, Anthropic, and xAI paid in stock, not cash. The government would get voting shares and an equal seat on each company's board, and the stock would fund a public fund owned
AI
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GStack by Garry Tan goes viral, 100K stars on GitHub for dev cheat code
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100K GITHUB STARS IN JUST A FEW WEEKS @GarryTan
’s GStack has gone completely viral, and for good reason. The YC CEO open-sourced his personal toolkit, and it's the ultimate cheat code for devs. It turns Claude Code from a basic chatbot into an entire virtual engineering -
Perplexity AI achieves new cost-performance frontier, outperforming Anthropic
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It also sets a new cost-performance frontier. On DSQA it scores 0.871, ahead of Anthropic's 0.815, at nearly half the cost per task. On WideSearch it leads on score while running cheaper.
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Search as Code beats all competitors on five benchmarks
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We tested Search as Code on deep research (DSQA, BrowseComp, HLE) and wide research benchmarks (WideSearch, WANDR). It matches or beats every competing system across all five.
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Search as Code replaces tool-calling with async search primitives
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The traditional tool-calling approach suffers from high latency, manual control flow, and context pollution. With Search as Code, the model composes search primitives: fanning out queries asynchronously, deduping, filtering, joining, and ranking before results hits its context.
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Perplexity launches Search as Code for AI agents
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Introducing Search as Code, our new search architecture for AI agents. It writes Python that calls our search stack directly, instead of looping through function calls one at a time. Available in the Perplexity Agent API, and now default in Computer. https://
research.perplexity.ai/articles/rethi
nking-search-as-code-generation
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Self-Improving Language Models with Bidirectional Evolutionary Search
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Most LLM search still works by sampling more rollouts or extending one path at a time. This paper's bidirectional evolutionary search does it in a smarter way. It breaks the task backward into smaller
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Quotable lines from speech on AI success factors
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Lots of quotable lines in @AGSNYT
’s @NewspaperWorld speech: “Talent, compute, energy and data are all essential to the success of A.I. and, therefore, to the success of the tech giants. The first three are paid for because — of course they are. No tech C.E.O. would dare suggest -
Who will bring order to AI in the 2020s?
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In the 1940s, von Neumann brought order to computer architecture.
in the 1970s, Codd brought order to database management.
In the 2020s, who will bring order to AI? -
9 Steps to Build AI Agents from Scratch
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How to build AI agents from scratch (9 steps): 1. Purpose & scope 2. I/O schemas 3. System instructions 4. Reasoning + tools 5. Multi-agent orchestration 6. Memory & context 7. Multimodal 8. Structured outputs 9. UI / API Ship agents that do work, not just talk.