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Google has shipped a new API built on a dedicated model called Gemini Decision, pitched for fast, calibrated multimodal decisions rather than open-ended generation. The target is developers who need to automate judgment calls across mixed data types — images, text, structured records — with confidence scores they can actually trust. It's a notable repositioning: selling decisions as a primitive instead of selling tokens.
United has formally prohibited third-party AI agents from making reservations for customers, pointing to credential-sharing risks, unauthorized transactions, drained frequent flyer miles, and possible federal luggage-screening compliance problems. The policy lands in direct opposition to Southwest, which has opened its flight inventory to ChatGPT. The split signals that agentic commerce is about to become a contractual fight, not just a technical one.
Apple researchers attack the cost of maximum inner product search by training two small networks — SupportNet and KeyNet — to learn the retrieval structure of a fixed database offline. The trade is an upfront amortization cost in exchange for much cheaper inference: SupportNet routing hits 95 percent recall about 1.9 times faster than centroid routing, while KeyNet cuts search time up to 8x to reach 99 percent recall. It scans roughly 0.001 percent of the database versus 0.10 percent for raw queries.
Amazon has released an official local emulator for AWS APIs, written in Rust as a set of service-specific crates that handle request routing and in-memory state. It runs in server mode for the CLI and SDKs or embedded mode directly inside Rust tests, with telemetry controls and fidelity gaps tracked openly in the repo's issues directory. For anyone who has fought LocalStack in CI, this is first-party validation of a long-standing pain point.
Term Sheet Please drops you behind a VC desk the day after demo day, reviewing founder pitches under a ticking clock. You click through facts, cross-check documents, and slap down a sheet to pass, fund, or hold. It's a sharp satire of the pattern-matching that actually drives seed decisions.
The essay argues that AI coding assistants have quietly dissolved the classic Emacs value proposition — speed, customization, expressive power — because manual optimization no longer pays. The author points to absurd-by-design projects, like reimplementing Excalidraw entirely in Elisp, that now cost only tokens. The twist: this finally delivers Stallman's vision of user control over tooling, while nobody actually understands how the resulting systems work.
The Python community is remembering Tim Peters, 1952 to 2026, author of the Zen of Python and inventor of Timsort — the hybrid sort that Java and Android later adopted wholesale. He also shaped dictionaries, floating-point math, garbage collection, and doctest, and earned the nickname Timbot for thousands of patient, funny mailing-list replies. Colleagues credit him with setting the tone of respectful technical discourse in early Python.
Contractor dust tripped a smoke alarm that automatically killed cooling and pressurized the sprinkler pipes, turning a nothing event into a thermal emergency. The author sprinted back to the office and powered down servers row by row, halting the climb at 143.6 degrees Fahrenheit just short of sprinkler activation. The firm kept its servers near the trading floor for exactly this manual-shutdown reason, and added an OCaml monitor that watches fleet-wide temperatures for generalized cooling failure.
GitHub Actions tags are mutable, which means a previously audited version tag can be rewritten with malicious code after the fact — a well-worn supply-chain vector. The post walks through GitHub's new workflow lockfile feature and the gh-actions-lock extension, which pins actions to commit SHAs in a .github/workflows/actions.lock file. It also recommends verifying the lockfile in CI so it can't silently drift or corrupt.
Someone got GTA V running in the browser via WebAssembly, with both story mode and a multiplayer sandbox. The architecture splits rendering into a GPU worker, audio into an AudioWorklet, networking into WebRTC peer-to-peer, and input into its own worker, all talking over SharedArrayBuffer and MessageChannels while assets stream in behind the loading screen. It degrades gracefully too, cutting visual quality and core count on low-memory devices.