443 summarised stories about Large Language Models, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 2 weeks ago 40
A keynote recap outlined how LLM progress and agent tools in 2026 made coding agents noticeably more reliable and drove new “Claw” software adoption. The speaker said AI token spending went from under $50 in the past year to $1,000 in a day after coding agents became broadly useful. The result was product-market fit centered on coding agents, followed by companies tightening token/spend rules to manage costs.
The daily briefing
TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.
TLDRocket
18 October 2026
The day’s biggest thread wasn’t better models—it was better fences. U.S. banks and brokerages are increasingly blocking outside AI agents from logging into customer accounts and moving money, with Charles Schwab reporting agents are stopped “in the tens and twenties each week.” Schwab’s workaround is telling: outside agents may view balances and run analyses, but transaction access is tightened via Schwab’s own MCP servers, pushing transfers back toward in-house assistants or human approval. That sits alongside new legal pressure too—at least eight states sued OpenAI, alleging ChatGPT helps “cyberhacking agents” and harms children while deceiving adults, with OpenAI saying it will keep improving child safety and reviewing misaligned models.
Read the full briefing →