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SpaceX has almost finished writing V1.0 of an in-house AI training stack in C that exact-maps to 220k GB300s with 800G NICs, making heavy use of pipeline parallelism and getting as close to bare metal as possible.
The potential speed improvement vs JAX for large training runs is over an order of magnitude.
As the recently expanded partnership with @AnthropicAI demonstrates, @SpaceX is offering AI compute as a service at significant scale.
We are in discussions with other companies to do the same.
Over time, especially with orbital data centers, we expect to serve AI at extremely high scale.
Grok Build is really thorough, pretty incredible. Relay feature for PasteLocal is done, pushing to Github now. And if you want to know what this adds, here's a bit more about it, this is a feature I really wanted in there, and honestly didn't really expect to have done this week. • Per-peer E2E encryption: clipboard data is encrypted individually for each paired device using X25519 + HKDF + AES-GCM (no plaintext ever leaves the client) • Durable persistence: relay state is now stored in an atomic state.json with proper TTL handling and compaction. Pending clips survive relay-server restarts • Safe compaction: fixed unsafe map mutation during expiration/compaction that could cause data loss or undefined behavior • Full bidirectional CLI: new commands: pastelocal relay send, inbox, fetch, and status, plus pastelocal-remote --relay --peer --send • Auto-sync: when watch.enabled + https://t.co/5qS8pArcwQ_upload are on, meaningful clipboard changes are automatically pushed to paired devices • Improved DX: doctor checks are now only shown when relay is enabled, and the TUI shows basic relay status • Multiple review cycles: went through full implement → review → fix → re-review (effort 4), plus a final targeted regression fix round Try it out and please send any and all feedback!