Need more friends in North Beach, DM me if you’re nearby

We trained a model that’s as good as OpenAI’s best models at HTML to JSON schema It’s way cheaper to run and much faster -- cut costs by 50-90% for a handful of orgs doing millions/billions of requests per month The model will be open source soon hmu for early access

OSS-120B listed on leaderboads on artificial analysis! Below deepseek and far below qwen3 235B Still good for its param size, but notably lower long-context reasoning (smells heavily of a distilled model)

pretty obvious everyone has been gooning to the new grok app, the dating discourse died immediately after Elon posted the sexy angel pic

I said, “no my friend, you have not developed a high pain tolerance , you have developed a high tolerance for bullshit and you lack the situational awareness to know the difference!” and in that moment he was enlightened

Pretty sure new x algo downranked anything crypto related and I kinda like it

Honestly PG jumped the shark this year, this is some serious boomer VC shi

Your favorite founders email inbox is absolutely cooked btw

We just deployed a custom 12b model that we fine-tuned: - better performance than GPT 4.1 - half the latency - half the cost - hosted on commodity hardware OpenAI loses $40k/mo in revenue. Foundational labs are in trouble if this keeps working.

AI Industry Made $57 Billion Mistake and No One’s Talking About It. While GPT-5 headlines kept you distracted... NVIDIA quietly released a bold claim: → Small Language Models (SLMs) are the future of AI agents Cheaper, faster and just as capable for 80% of real-world tasks. Easily one of the biggest shifts in AI this year and most people missed it. 99% people haven’t read this but they should: 🧵