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Agents Implement Campfire in Elixir, Go, and Rust
DHH says he had coding agents implement and optimize the Campfire web app in Elixir, Go, and Rust, with Ruby slowest. He long accepted that cost for productivity and developer joy. He asks whether that trade still holds if agents write and validate code humans no longer read. In a follow-up he adds Rust has costs like slow compiles, but insists agent-written code demands a new view of language choice.
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Turn off Apple Intelligence on macOS 27 and get its disk space back
macOS 27 no longer ships a single switch for Apple Intelligence, and its downloaded models stay on disk even after the features are turned off. RemoveMacAI is a small Apple-silicon CLI that applies Apple's own restriction keys through a configuration profile, deletes the foundation, image-generation, Spatial Photos and Clean Up models via the asset service, and redirects their downloads to a closed local port so macOS never fetches them again. The whole thing is reversible with removemacai revert. It installs through a curl-piped script or a Homebrew tap, and every release is built by GitHub Actions with a verifiable build-provenance attestation.
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Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s
Strata is an open-source inference engine and one-click installer that runs Qwen3.8-Flash-Next, a 125-billion-parameter mixture-of-experts model, on ordinary gaming PCs. The project spreads the model's 24,576 experts across GPU, RAM and SSD, and uses speculative decoding to report 53-94 tokens per second on an RTX 5070, with an RTX 3090 estimated at 100-140. It ships quantizations from 2-bit up to near-4-bit, plus a Coder variant with half the experts removed that keeps 91% of the full model's SWE-bench Verified score while fitting 32GB of RAM. Setup exposes OpenAI- and Anthropic-compatible APIs on localhost, so nothing leaves the machine.
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Improper redaction reveals Google Data Center water and electricity usage
Nebraska now requires data centers to self-report their water and power use to the state's Department of Water, Energy, and Environment under a July executive order. Google claimed trade-secret protection and redacted the figures at all three of its Nebraska sites, but highlighting the redacted boxes and pasting them into another document recovered the text. Lincoln's Agate LLC disclosed 52.65 megawatts at peak electrical demand and 13.299 megagallons of water in the past year; the state's six reporting data centers used 765 million gallons combined, led by the Papillion site's 547.88. The same leak also exposed expected 2025 tax refunds, including $55.8 million for Agate.
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Claude Says
A blog post argues that opening a reply with "Claude says" undermines the speaker: deferring to an LLM signals the topic is outside their expertise, and the reader has no way to judge whether the concern was even communicated properly. The author blames AI for runaway stack complexity, citing an example where a model proposed forking and maintaining every dependency from source instead of using an artifact repository's built-in patching feature. Prompting a chatbot, the post concludes, flatters a false sense of critical thinking, and feeding presuppositions into an LLM only poisons the well.