@rohanpaul_ai@axiommathai The size is the headline, but the hole is the news.
It found a step in the published proof that was false, and the theorem still held.
@BrandonButch Bandwidth is the line that matters for local AI.
A model writes its answer about as fast as memory feeds it, so roughly 11% faster here.
Testing a local model in your review?
The viral AI math claim won't speed up anything you run.
OpenAI and Anthropic say a classic on/off switch puzzle can be solved faster than trying every option.
Anthropic's paper says it only pays off once a typical puzzle has more switches than a one followed by 10,000 zeros.
@HamelHusain The binary label is the useful part.
Someone picking a model off a leaderboard won't read a long audit, but they will notice "Flawed" next to the number they were about to quote. A nuanced score would get skipped the same way the known issues did.
@arpit_bhayani Cheapest fix I'd try first: tell the compactor to keep who said it.
"The search result claimed X" and "X" look identical after one summary pass.
Writing the attribution into the sentence itself is crude, but it survives the next compaction too.
@emollick The checkpoint moved to the start.
Ask for the plan and its assumptions before any work begins, and approve that step.
Hidden traces can't take it away, and it's the cheapest moment to correct course anyway.
14K Followers 665 FollowingLead of @home_assistant at the Open Home Foundation. Open source isn't just my work, it's who I am. Him/He. Dad. Be the change ❤
30K Followers 1K FollowingNews about Linux and Android, ARM & RISC-V processors, open-source hardware, embedded systems, single board computers, Arduino, Raspberry Pi and more
82K Followers 269 FollowingOpen source home automation that puts local control & privacy first. Powered by a worldwide community of tinkerers & DIY enthusiasts. News for devs @hass_devs