Simon Willison · Datasette · Django 공동창시자 · 찾아가기: X ↗ · GitHub ↗ · 블로그 ↗
<blockquote cite="https://www.nytimes.com/2026/10/09/technology/anthropic-rogue-ai-agents.html"><p>Anthropic detailed the activity of its A.I. agents in <a href="https://www.anthropic.com/research/investigating-unintended-model-actions">a blog post</a> on Friday, without naming t
Simon Willison · Datasette · Django 공동창시자 · 찾아가기: X ↗ · GitHub ↗ · 블로그 ↗
<p><strong><a href="https://deno.com/blog/cloudflare">Deno is joining Cloudflare</a></strong></p> The Deno team released the first version of <a href="https://github.com/denoland/celld">celld</a> back in August - their open source implementation of the Durable Objects pattern fro
Keychron made a name for itself after launching on Kickstarter in 2017. Today, it offers the value K2 model as well as a variety of other versions, including one with an all-wood body.
An Anthropic AI model provided false information about an unsolved homicide to a Philadelphia Police Department (PPD) tipline, according to a report from 6abc. In a statement released on Friday, the PPD said the AI model sent the tip through PhillyUnsolvedMurders.com on July 18th
개인의 지적 활동을 오래 지속하려면 인간 공동체가 필요하며, AI가 공동체를 해체하면 혼자 배우고 만드는 활동도 줄어듦 AI 에이전트에 업무를 맡기고 취미로 프로그래밍을 계속하리라는 기대와 달리, 함께 읽고 배우고 만들어갈 공동체가 약해지면 개인의 즐거움만으로 활동을 이...
캐나다 소프트웨어 엔지니어이자 유튜버인 Anthony Sistilli 가 경찰차 동선을 추적하는 자동 번호판 인식(ALPR) 카메라 를 직접 제작해 설치함 Sistilli에 따르면 Peel Regional Police 소속 경찰관 2명이 집을 방문해 수집한 데이터를 어떤 목적으...
Simon Willison · Datasette · Django 공동창시자 · 찾아가기: X ↗ · GitHub ↗ · 블로그 ↗
<p>I shipped a new feature for my blog today: the <a href="https://simonwillison.net/newsletters/">Newsletters</a> page, which offers an index of all of the newsletters I've sent out, both my free <a href="https://simonw.substack.com/">weekly Substack</a> and my <a href="https://
Building an AI agent that works in a demo is a different problem from running one for 40 million developers. Postman and AWS share the architectural patterns behind Agent Mode: controlling tool sprawl, exposing schema-based reads, and treating context as the real bottleneck, plus