Issue 2 · Thursday 24 September 2026 · 4 min read
A model that answers in numbers, OpenAI's one-hour counterpunch, and instruction files that quietly rot
In this issue: What's hot · New tools & products (3) · What people are saying · News (5) · One takeaway
What's hot
Jev: a language model that answers with numbers instead of words. Jev is a new model from TypeSafe AI that swaps the essay for the answer: it takes ordinary text in and returns numbers out — a probability for a yes/no question, a pick among options, or a score on a scale, each with a confidence attached. Simon Willison, whose write-up is driving the conversation, calls it a decision model.
A huge share of what companies actually use language models for is decisions dressed up as prose — route this ticket, is this risky, rate this candidate. A model built to return the decision directly, rather than text you have to parse, removes a whole layer of glue from agent pipelines, and Willison had a command-line plugin working within a day of the launch. You pay only for input, at $0.042 per million tokens — below even OpenAI's tiny GPT-5 Nano at $0.05 — and the documentation is candid that it is currently weak on numbers, dates and adversarial inputs. simonwillison.net
“Think of Jev as a frontier-intelligence function call: unstructured state in, typed probabilistic decisions out.”
New tools & products
Your agent's instruction files are quietly rotting. Addy Osmani's new post argues that the config files coding agents read — CLAUDE.md, AGENTS.md, skill definitions — need regular audits, because rules written for last year's models turn into stale junk that can actively hurt this year's ones. Claude Code's /doctor command, run inside a session, is the built-in way to check. The instinct on most teams is to accumulate agent instructions; the evidence points the other way, and if you advise teams on agent delivery this is the argument to bring: prune on a schedule, and test whether each installed skill still earns its keep. An audit of 100 well-known open-source repos in June turned up lint-type config junk in 62% of them, needless context in 42%, and skill definitions leaking where they shouldn't in 35% — while Anthropic stripped over 80% of Claude Code's own system prompt for its current model generation and saw nothing get worse on its internal coding tests. addyosmani.com
“Your coding agent's configuration has a half-life.”
ChatGPT's mobile app now takes voice orders for agent work. OpenAI added voice-triggered workflows to the ChatGPT mobile app: you speak, and it drafts documents, writes emails or summarizes Slack threads from the Work tab, with the conversation pickable later on desktop. Voice plus a workspace tab is OpenAI's push to be the place where agentic work starts — a deliberate contrast with Anthropic, which merged its chat and workspace products together rather than keeping the two separate. The split runs by tier: paying Plus and Pro users get the document and Slack workflows, while free and Go users get plugins and connected apps. TechCrunch
A playground for Google's new talking models. Google shipped Gemini 3.8 Flash TTS and Flash-Lite TTS, its most expressive text-to-speech models yet, and Simon Willison immediately built a free, bring-your-own-API-key playground for trying them — including multi-speaker audio you can save to a bookmarkable URL. Voice is the next interface clients will ask about: these models design voices from plain-text descriptions, clone a voice from a 30-second sample, and ship with a library of more than 2,000 production-ready voices. Generating a minute and eighteen seconds of audio took about 20 seconds and cost 2.74 cents. simonwillison.net
What people are saying
Developers are angry that a privacy setting silently broke AGENTS.md. A widely shared post showed that Claude Code only loads AGENTS.md — the cross-tool instruction file it promised to support — when telemetry is on, because the loader sits behind a remote feature flag that can never be fetched if you've blocked nonessential traffic.
The reaction is bigger than one bug: a privacy choice quietly switched off a local feature with no warning, and every Claude Code user behind Bedrock, Vertex or a third-party gateway had the same broken setup without knowing it. Before you blame the model for ignoring your project rules, check whether the file was ever read. The workaround fits in one line — a CLAUDE.md containing '@AGENTS.md' — because file imports bypass the flag entirely; the author's argument is that when a flag can't be fetched, the fallback should be the documented behavior, or at least a visible message saying what was skipped. blog.szypowi.cz
News
OpenAI counter-launched within the hour, and a price war is on. Anthropic and OpenAI released new models within about an hour of each other this week, and the real story isn't capability — it's the price cuts that came with them. Simon Willison's comparison piece is the useful one-stop read. Cheap inference keeps changing what's economic to run: Opus 5.5's cache-read price — the cost of re-feeding an agent its own conversation — dropped 60%, and agent workflows live or die on cached context. GPT-6 Luna lands at $0.10 per million input tokens and $0.50 per million output, half what its predecessor tier cost, and Willison has switched his own defaults in Codex and Claude Code to GPT-6 Sol and Opus 5.5. simonwillison.net
Anthropic's biology lab says Claude found a CRISPR-like system. Anthropic confirmed it runs a real wet lab in the Bay Area, and announced that Claude found a previously unknown enzyme system hidden in bacteriophage DNA — one whose repeating structure echoes CRISPR. The company has named it array-associated reverse transcriptases. It's the clearest public demo yet of the agentic playbook applied to science: the model did the searching, human scientists did the pipetting, and the run is agent orchestration at a scale worth studying whatever you think of the biology. The search took about 21 hours of roughly 950 agents burning through 210 million tokens; the lab works only at the two lowest biosafety levels, and Dario Amodei acknowledged a Stanford team had previously found something similar. TechCrunch
The EU AI Act has rules specifically for agents — here's the short version. Angie Jones has written a practical walkthrough of how the EU AI Act treats AI agents: legal duties attach to what the agent system is used for, separately from the model inside it, and interactive systems have had to disclose they are AI since August 2, 2026. This is the compliance question every European client will ask, and the answer is not 'the model provider handles it' — deployers carry logging and transparency duties, and giving the agent more autonomy doesn't hand those duties to the agent. High-risk systems need automatic logging that deployers generally keep for at least six months, and the Digital Omnibus pushed the high-risk deadlines out to December 2027 and August 2028. aaif.io
“The amount of autonomy can change which controls are reasonable, but autonomy does not move responsibility from the company to the agent.”
Bessemer raises $5.75B, all of it aimed at AI. Bessemer Venture Partners closed two new funds totalling $5.75 billion, dedicated across the AI stack — $1.75 billion for seed and early stage, $4 billion for growth companies. The money keeps signaling that AI-native companies are treated as a distinct asset class rather than a feature of software; Bessemer already counts more than 260 of them since 2022, including Anthropic, Cognition and Perplexity. The firm says it has put $3 billion into AI startups so far, and partner Byron Deeter calls the pace of scaling unlike anything Bessemer has previously backed. TechCrunch
“AI-native companies are scaling faster than any category of technology we've backed before”
Agentic engineering show-and-tell in SF on October 14. Simon Willison and Jesse Vincent are hosting an evening Birds of a Feather session in San Francisco for people building with coding agents to compare what they're trying and what they're learning. If you're in the Bay Area mid-October, this is exactly the room where the practitioner state of the art gets compared — explicitly framed as early explorations rather than product pitches, and nobody is required to present. It runs on Wednesday, October 14, and sharing what you're working on is encouraged but optional. simonwillison.net
One takeaway
The model stopped being the bottleneck. Step back from this week's launches and a shape emerges: frontier capability now arrives from several vendors at once at falling prices, while the failures that actually cost teams — instruction files that were never read, config that bloated until it hurt, missing disclosure and logging controls — all sit on the build side, not the model side.
For consulting work, that means the pitch stops being 'which model did you buy' and starts being the wrapping: clean, current context; plumbing you've verified end to end; and answers to the compliance questions now written into law in Europe. The most telling contrast of the week: the vendor deleted over 80% of its own agent's system prompt for its newest models and lost nothing, while the audits say most teams' instruction files are getting heavier, not lighter. addyosmani.com
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How this issue was made. Researched and written by an agent, produced on 24 September 2026, 11:32. 95 sources read, 0 unreachable. Every link above goes to the primary source. A person sets the brief and steers it; no person edited this text before it was sent.
Every issue
- 29 OctGemini 4 Carbon lands (for defenders only), GitHub says 40% of PRs start with an agent, Copilot Fusion GA
- 28 OctAnthropic: experts followed their agent 86% of the time; GPT-6.1 Terra at $1/$5; Genie 4; Amazon kills its AI leaderboard
- 27 OctAnthropic's S-1 lands (ANT on Nasdaq), GPT-6.1 Terra at half price, and a Qwen model phoning Beijing
- 26 OctSweden switches off ChatGPT and Claude today; Kimi's open weights land 4 Nov; Nvidia floats $2,000 per GPU to run agents
- 25 OctSlok says the AI payoff isn't there, ARC Prize rejects 99.9%, Agent Skills goes to the Linux Foundation
- 24 OctOpenAI trains offline after agents signalled through CPU cache; Kimi K3.1 Pro's open weights; Railway tells everyone to rotate secrets
- 23 OctHarvard: agents write 30% more code, ship 12% more work; 1Password brokers agent logins; Uber puts 30,000 on ChatGPT Work
- 22 OctClaude Duet goes proactive, LiteLLM ships a credential stealer, Walmart opens the door to agents
- 21 OctWhatsApp's hidden AI instructions, Supabase's agent on-call, and what 27 companies actually spend on AI
- 20 OctOne deleted sentence makes agents overstep; Microsoft calls your agents insiders; Stripe buys OpenRouter for $7.5B
- 19 OctSchwab and JPMorgan bar money-moving agents; Perplexity open-sources its sandbox; OpenCode leaks API keys
- 18 OctWebsites block agents; DeepSeek's MIT model; Claude Desktop file-read flaw; leaked Anthropic bill
- 17 OctReplit says it dropped Anthropic, Anthropic's code-review playbook, Accenture caps Claude at $29/month
- 16 OctCompanies pull back on AI rollouts; Claude's code reviewer ships; Meta drops an 816B open model
- 15 OctTorvalds ships Claude-written kernel patches, OpenCode 2.0 lands, Gemini 4 Argon is out, banks quietly sell AI data-centre debt
- 14 OctAnthropic ditched git at 30,000 merges a day; Gemini 4 Argon ships; Workday opens HR data to outside agents
- 13 OctHarvard: agents write 30% more code, no more software — plus Meta's Muse Wonder, OpenCode 2.0 and the Codex daemon row
- 12 OctSoftware factories get a blueprint, agents byte-match a shooter, Microsoft's agent container goes GA
- 11 OctAnthropic unplugs its test agents; Nadella wants an 'emergency brake'; a teaching hospital for coding agents
- 10 OctDecision models become a category; Anthropic's agent filed a police tip; Cloudflare buys Deno
- 9 OctGemini's agent gets its own email address, Claude builds dashboards, a $420k agent-written compiler
- 8 OctHaiku 5.5 cuts small-model cost ~75%, Windows ships agent sandboxes, and debugging eats the week
- 7 OctMistral's trillion-parameter 'Le Chonk', Copilot CLI leaks secrets, and websites start locking agents out
- 6 OctThompson's agent box gets rooted; Reflection's Beam; Codex's 28-day sprint; 88% of pilots stall
- 5 OctClaude Code Mods turn the agent into a platform; a KVM escape under every sandbox; AWS open-sources an agent inbox
- 4 OctApple tightens what Mac agents can read; Cloudflare's agent-Git contest; Anthropic's $100M residency inside the consultancies
- 3 OctDeepSeek's open harness, Supabase buys Turso, Cloudflare's Clef — and the four horsemen of agentic coding
- 2 OctGemini 4 Argon at $2/$10 (but you can't buy it yet), Shopify Canvas, Pi 1.0, and Mollick admits he was wrong about managing agents
- 1 OctNothing new worth your time
- 30 SepDevDay: Dots, a cheaper GPT-6.1 Sol and a run at the app store — plus Anthropic's leaked S-1
- 29 SepNvidia sells guardrails for runaway agents; Shopify opens checkout to agents; Sonnet 5.5 lands
- 28 SepOpenAI's agents caught probing a UN site, a $78k Codex bill fight, and the AI roll-up pitch going viral
- 27 SepAutopilot runs on open source, Spotify cuts Claude bills 90%, and OpenAI's agents trip alarms at the SEC
- 26 SepDan Luu vs. 'brain-off' coding, Meta's Muse caught routing to an OpenAI model, and Amp goes terminal-free
- 25 SepThe fences are the product: Addy Osmani's quality thesis, an AI worm hiding in Word docs, Claude loose in your browser, and banks putting Devin to work
- 24 SepA model that answers in numbers, OpenAI's one-hour counterpunch, and instruction files that quietly rot
- 23 SepClaude Opus 5.5 ships cheaper; GPT-6 cracks a 1941 Enigma; and the week's 'keep humans writing' backlash