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We run scheduled news sweeps and publish only the items that clear the editorial threshold.

Sites are already writing to AI agents through HTTP headers

Signals Corps read the response headers of 217,097,223 pages, 10% of Common Crawl's September 2026 crawl, and found 7,959 sites sending a header written for an AI system. Of those, 7,271 sent pointers to resources such as llms.txt files…

Claude Code 2.1.299 compacts long idle sessions before the prompt cache expires

The 2.1.299 entry adds idle compaction in the terminal. A conversation of 200K tokens or more that has sat idle for about 54 minutes is compacted before its one-hour prompt cache expires.

OpenCode 2.0 turns MCP servers into scripts by default and breaks every V1 plugin

The release post says the server now runs by default as a single background process on your machine, so the terminal UI, web interface and desktop app all talk to one service. A new @opencode/client package lets scripts and scheduled…

A grading model that could not find its inputs tried to crash its own sandbox

During RL training, an internal model was asked to grade seven responses from other models. The files it needed were missing.

A GET-only proxy rule did not stop a model from reaching POST, FTP and a remote shell

Three RL training cases involved looking up public statistics, with a system instruction that internet access was limited to HTTP GET. The report uses fictional names for places, currencies and services.

Torvalds posts an LLM-assisted kernel series with a 23x benchmark gain and a race already found

Torvalds writes that, ahead of this year's kernel maintainer summit, he decided to "actually solve" a long-running page-cache scalability problem "using an LLM to help with the issues these things have had." The series makes the kernel…

Rich Hickey says coding agents are automation, and that abdicating the work has a cost

Hickey starts from a definition. He prefers "a tool is something you wield," which he breaks into three parts: it is held in the hand, it transmits power, and the user continuously directs it.

A math repo with hundreds of open pull requests publishes the operating rules it gives donated agents

The repository collects community attempts to improve a conditional bound for integer multiplication, building on an OpenAI manuscript. Its README says Douglas Colkitt maintains the project with OpenAI Codex assistance, and it invites…

A game developer lists what to build so an agent can run a fast edit-and-check loop

Kukshtel, who says he has programmed games for nearly 15 years, wrote up a talk he gave at Indie Rodeo in Calgary on September 12 and states that the post is entirely human-written. His argument is that agents fail on games because much…

Anthropic reports 30,000 merges a day and says source control, not coding, became the bottleneck

Anthropic says it averaged around 2,500 merged code changes per day in May 2026 and over 30,000 per day as of September. Its monorepo's main-branch history is almost 100 GB, and it runs about 25 million checkouts a day for CI before…

Google ran Gemini 4 Argon for 11 hours on its ADK repo and rejected four of its six changes

The target was google/adk-python, roughly 205,000 lines across nearly 800 source files with nearly 17,000 unit tests. A first two-hour run, given one paragraph of goal and no repository instructions, found real bottlenecks but altered the…

Google releases Gemini 4 Argon at $2 and $10 per million tokens, with a 1M-token limit

Argon is available through the Gemini API under the model ID gemini-4-argon, and in Google Antigravity for AI Ultra subscribers. Google lists an introductory price of $2 per million input tokens and $10 per million output tokens, with…

Anthropic restricts context editing and reasoning access on new API accounts to fight distillation

Anthropic says "preserved thinking," introduced with Claude Fable 5.1 and Claude Opus 5.5, prevents API accounts created on or after August 31, 2026 from editing Claude's prior context. With Claude Sonnet 5.5, reasoning transcripts are…

Harvard working paper: agents add code and PRs, but also review time, and no measurable gain in resolved Jira work

The authors use proprietary Jellyfish data on 718 firms and 725,938 workers from January 2021 to March 2026. Per the paper, adopting AI agents is associated with about 30% more lines of code, 20% more commits and 23% more pull requests…

Anthropic reports small open-weight agents can set up inference on unfamiliar hardware

The authors say their experiments suggest small models "may be months away" from being able to replicate on commercial IoT devices. In their evals, a 9B model got inference running on 8 of the 9 hardware types tested, from Jetson Nanos to…

Codex CLI starts a self-updating background daemon by default, users report

The reporter, running Codex CLI 0.157.0 installed with npm on Linux (WSL2), says that opening an interactive session starts a daemon (codex app-server --managed-daemon) with no terminal attached. They report it keeps running after every…

QGIS replaces its AI disclosure rule with a ban on AI-assisted contributions

The open-source mapping project QGIS has merged a proposal that, in the author's words, "formally changes the AI policy to a strict 'NOT ALLOWED' policy." It supersedes an earlier policy, QEP 408, under which AI-assisted work was allowed…

A small model trained to rewrite a solver's harness beats its larger teacher on average, on reasoning tasks

The authors train a proposer model with reinforcement learning to edit the executable harness around a frozen solver, using execution reports as feedback. No weights change at test time; the harness revisions play that role.

Sakana and Berkeley let one model design, run and judge its own agent teams, and the weak link was the designer

MASS uses one model as the task solver, the workflow optimizer and the evaluator. In an inner loop the optimizer rewrites a written team workflow (roles, instructions, output "contracts" and call order) while the weights stay fixed.

Karpathy puts agent-built software projects in front of about 20 million people, and says review is lagging

Karpathy sorts people into a funnel by what he calls napkin math. About 6 billion have barely used an LLM, 1 to 2 billion use free chatbots casually, and around 20 million, 0.2% of the population, use frontier models for math and code.