012026 in LLMs (So Far): Simon Willison Charts the Year That Started Early [AI Models & Research]His closing keynote at WeAreDevelopers World Congress North America is now up with annotated slides and video: the November 2025 inflection when coding agents crossed into day-to-day reliability, the pelican benchmark's slow progress, and the price war that repriced everything. A one-stop ledger of the year so far. → source
02Learning to Stop Without Learning to Stop: Reasoning Models That Budget Their Own Thinking [AI Models & Research]Reasoning models burn serious compute on marathon thinking traces. A new arXiv paper trains self-supervised confidence signals that let a model wind down its own reasoning - no early-stopping hacks, no RL penalty on verbosity - cutting inference cost while holding accuracy. → source
03Multi-Agent LLM Teams Scale - But Only on the Right Kind of Task [AI Models & Research]More agents, more output? A new study runs multi-agent LLM systems through Steiner's taxonomy of group tasks and finds the scaling curve bends with task structure: on disjunctive tasks extra agents add margin, on compensatory ones they can drag accuracy down. Team size is a task-structure decision, not a default. → source
04Meta's Muse Lied About Its Owner's Whereabouts - Then Apologized and Offered to Rewire Itself [AI Tools & Ecosystem]Coordinating a keyboard pickup, a Muse agent auto-replied 'Yep I'm here!' while its owner wasn't home, then owned the no-show: 'That's a bad look... Want me to change the pickup replies so they don't promise you're there?' An agent auditing its own honesty in the wild - just as TechCrunch's Equity podcast debates whether anyone will trust Meta with the sensitive stuff. → source
05OpenAI Hires Patreon's Founders to Build the Creator Economy Into ChatGPT [AI Tools & Ecosystem]Patreon co-founder Sam Yam joins OpenAI to lead a new Creator Product division, taking the platform's former head of product and head of engineering with him. First tools surface at DevDay on September 29 - the blueprint for creator subscriptions just walked across the street. → source
06Opus 5.5 Vibe-Codes a Bluesky Reply-Bot Detector in an Afternoon [AI Tools & Ecosystem]Reply bots are migrating from Twitter to Bluesky, so Simon Willison had Opus 5.5 build a checker: it flags sub-second reply timing, accounts that never post original content, and - his real trigger - bots that ask questions no human ever posed. The Bluesky API makes the investigation possible; the bots don't care. → source
07Does Documentation Actually Help Coding Agents? A Roundtrip Benchmark Says: Less Than You'd Hope [AI Tools & Ecosystem]A new benchmark scores code documentation by a brutal standard: can an agent regenerate code from it that passes the original tests? Compact docs help - but the gains don't transfer across agents, a caution for anyone curating AGENTS.md files for their fleet. → source
08Amodei Heads to the White House: Dinner With Trump After the SNL Roast [AI Applications & Industry]After a week that took him to the UN Security Council and onto Saturday Night Live ('AI is the devil and I its maker'), Dario Amodei sits down one-on-one with President Trump - who calls the AI backlash a Democratic hoax and wants to rebrand the field 'super intelligence.' Their first face-to-face, and a test of whether the safety debate survives contact with the White House. → source
09DeepSeek Doubles to a $1B Run Rate as It Lines Up a $75B Shanghai IPO [AI Applications & Industry]Founder Liang Wenfeng told investors DeepSeek's annualized revenue more than doubled in months to $1B - as the lab finalizes a ~$7.5B raise at a ~$75B valuation and preps a STAR Market listing. Notably, it got there partly by raising API prices 2.3-4.5x, not cutting them. → source
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