Reddit debates what Ilya Sutskever meant by "the models just want to learn"

PIMCO's Emmanuel Roman estimates the AI buildout could create $2 trillion in financing needs over five years, against a ~$12 trillion total US bond market. Meta drew $58B in orders for a $15-20B bond offering; Oracle needs another $20B and Alphabet is selling €6B.

A developer (GitHub user "indicava") says Postman's desktop app silently installed plugins into Claude Code and OpenAI Codex, and tried to approve its own startup hook telling Codex to use Postman's API tools.

Google Antigravity migrated the core of a 174,000-line Fortran coastal ocean model to 100% memory-safe Rust in 59 minutes, catching six decades-old bugs, halving memory use, and speeding simulations 1.88x. The workflow ships as an open-source skill.

A dual-RTX-3090 owner running Qwen-3.8 27B at int8A16 asks whether the 4bpw Qwen-3.8-FN quantization is worth switching to. No benchmark data is offered in the post.

Mazin Gilbert, who left Google this year to become executive director of the Linux Foundation's Agentic AI Foundation, says the AAIF must move faster than the companies building agent standards.

A r/LocalLLaMA post claims a llama.cpp fork combining QFN with a specific quantization and hardware config yields unusually high prompt-processing and token-generation speeds. The post gives no reproducible benchmarks or configuration details.