affine

@refinement.systems

this isn't very popular to say, but for me personally, it was good that i had unrestricted internet access when i was a minor. i was aware of what i was doing and enjoyed it. i don't look back on it and go "well that was a mistake", i look back on it and wish i could do it for the first time again

Liquid AI's LFM2.5-2.6B, an agentic model that runs entirely on-device. > Pre-trained on ~34T tokens > LFM2.5 flagship hybrid architecture > Context length: 128K > Vocab size: 128K > balanced intelligence per watt > customizable on a single GPU for any specialized task > LFM2 open-weight license

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"average person using Ai burns gallons of water" factoid actualy just statistical error. average person burns 0 gallons of water using AI. Steve Yegge, who lives in cave & uses billions of tokens each day, is an outlier adn should not have been counted

My new paper "The Modal Catuṣkoṭi" coherently translates Mahayana Buddhist philosophy's structure into formal modal logic across all relevant systems. It's the first peer-reviewed comparative-philosophy article with central model-theoretic results Lean-verified. scholarworks.sjsu.edu/comparativep...

The Modal Catuṣkoṭi: Formalizing Emptiness in Classical Modal Logic

Nāgārjuna’s arguments in the Mūlamadhyamakakārikā rely extensively on modus tollens, yet this inference is invalid in the paraconsistent frameworks typically used to formalize the catuṣkoṭi. We develo...

scholarworks.sjsu.edu

"Interesting! The git log shows R0-10 through R0-19 have been implemented. The most recent commit is R0-19. So R0-20 is next. The user is asking me to implement the next package." Kimi please, why were you doubting me?

Models arbitrarily large running and training by streaming off of disk, allowing scaling using a fixed amount of VRAM and running on machines with little VRAM. This is a 40b parameter model trained at regular precision on a card with just 96gb of memory