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June 20 · Today
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Simon WillisonSignal
@simonw
Why this matters · 38
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October sponsors-only newsletter

I sent out the October edition of my sponsors-only monthly newsletter . If you are a sponsor (or start a sponsorship now) you can access it here . This month: The October inflection point for vibe game development The v…

Blognewsletter

Why this matters

newsletter angle: I sent out the October edition of my sponsors-only monthly newsletter . If you are a sponsor (or start a sponsorship now) you can… Check the original before changing a build, vendor, or research decision.

7 hours ago
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TechCrunchSignal
@techcrunch
Why this matters · 38
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Y Combinator’s Garry Tan uses AI agents so much, he spends up to $200K a year on tokens

Y Combinator Garry Tan has jokingly admitted that he's suffered from "cyber psychosis” and barely sleeps sometimes because he’s so excited to be working with his AI agents. On a new episode of Walter Isaacson’s podcast…

TechCrunchStartup

Why this matters

TechCrunch angle: Y Combinator Garry Tan has jokingly admitted that he's suffered from "cyber psychosis” and barely sleeps sometimes because he’s so… Check the original before changing a build, vendor, or research decision.

12 hours ago
S
Simon WillisonSignal
@simonw
Why this matters · 38
38

llm 0.37

Release: llm 0.37 There's a lot of stuff in this new release of my LLM CLI tool and Python library, representing around two months of accumulated features and fixes. I added gpt-6.1-sol and gpt-6.1-terra , plus a new ll…

Blogopen-sourceprojectsai

Why this matters

open-source angle: Release: llm 0.37 There's a lot of stuff in this new release of my LLM CLI tool and Python library, representing around two months… Check the original before changing a build, vendor, or research decision.

13 hours ago
A
ArXivSignal
@arxiv
Should you care? · 38
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From Natural Language to Exact Cover: A Neuro-Symbolic Approach to Zebra Puzzles

Chain-of-Thought (CoT) generation has substantially improved the performance of Large Language Models (LLMs) on complex reasoning tasks, including code generation, data analysis, and exam-style question answering. Despi…

ResearchArXivcs.AI

Why this matters

ArXiv angle: Chain-of-Thought (CoT) generation has substantially improved the performance of Large Language Models (LLMs) on complex reasoning… Check the original before changing a build, vendor, or research decision.

18 hours ago
A
ArXivSignal
@arxiv
Should you care? · 38
38

WebHarbor: Docking Real Websites for Evolving GUI Agent Environments

GUI web agents require realistic and interactive environments that remain stable during both evaluation and training. Live website evaluation suffers from changing content, access restrictions, and limited coverage of a…

ResearchArXivcs.AI

Why this matters

ArXiv angle: GUI web agents require realistic and interactive environments that remain stable during both evaluation and training. Live website… Check the original before changing a build, vendor, or research decision.

18 hours ago
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The VergeSignal
@theverge
Should you care? · 38
38

Anthropic clamps down on Claude’s AI video game clones

Anthropic has updated Claude Code's system prompt to prevent the AI tool from being used to re-create existing video games, as reported by Tom's Hardware. Retro gaming is currently being overrun with AI-made decompilati…

The VergeMedia

Why this matters

The Verge angle: Anthropic has updated Claude Code's system prompt to prevent the AI tool from being used to re-create existing video games, as… Check the original before changing a build, vendor, or research decision.

18 hours ago
A
ArXivSignal
@arxiv
Should you care? · 38
38

Strategist: Evolving Reasoning with Agents

A model is only half of an AI agent system. The other half is the inference strategy: the reasoning procedure that turns model calls into a response. Today that second half is written by hand, and the experience of buil…

ResearchArXivcs.AI

Why this matters

ArXiv angle: A model is only half of an AI agent system. The other half is the inference strategy: the reasoning procedure that turns model… Check the original before changing a build, vendor, or research decision.

18 hours ago
A
ArXivSignal
@arxiv
Should you care? · 38
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Tracing the Scientific Discovery Capacity of LLMs to Their Training Data

Large language models (LLMs) show growing promise for scientific discovery, yet basic questions remain about what enables reliable discovery. How can we trace the scientific discovery capacity of LLMs to their training…

ResearchArXivcs.AI

Why this matters

ArXiv angle: Large language models (LLMs) show growing promise for scientific discovery, yet basic questions remain about what enables reliable… Check the original before changing a build, vendor, or research decision.

18 hours ago
A
ArXivSignal
@arxiv
Should you care? · 38
38

DiabAgent: Toward Agentic Physiological Control

As pretraining scales, medical language models have advanced rapidly in clinical question answering. Their ability to achieve effective physiological control through sustained intervention still lacks systematic quantit…

ResearchArXivcs.AI

Why this matters

ArXiv angle: As pretraining scales, medical language models have advanced rapidly in clinical question answering. Their ability to achieve… Check the original before changing a build, vendor, or research decision.

18 hours ago
A
ArXivSignal
@arxiv
Should you care? · 38
38

Four Bridges: Measuring Deception Propensity in a Multi-Agent Game

AI agents are increasingly deployed in settings where they interact and coordinate with other agents, yet honesty is mostly measured in single-turn, single-agent benchmarks that pressure the model to deceive. We study d…

ResearchArXivcs.AI

Why this matters

ArXiv angle: AI agents are increasingly deployed in settings where they interact and coordinate with other agents, yet honesty is mostly… Check the original before changing a build, vendor, or research decision.

18 hours ago
A
ArXivSignal
@arxiv
Should you care? · 38
38

Evaluating Uncertainty Calibration in Probabilistic Time Series Foundation Models

Time series foundation models (TSFMs) are increasingly used for probabilistic forecasting across diverse domains, yet the reliability of their uncertainty estimates remains poorly understood. In this work, we study unce…

ResearchArXivcs.AI

Why this matters

ArXiv angle: Time series foundation models (TSFMs) are increasingly used for probabilistic forecasting across diverse domains, yet the… Check the original before changing a build, vendor, or research decision.

18 hours ago