last month, qwen 3.8 27b surprised me running locally on my RTX 3090
now webAI has released a 3.66B model with a quantized build of just 2GB hitting 95.4% on BBH logic
i think we're going to see a lot more of this. smaller models getting incredibly good at specific tasks
Half a million downloads in a month. Today, our open source family takes another step forward.
Thank you for the incredible support behind our first-generation models. We’re excited to introduce TwIL-LM3-Pro.
At just 3.6 billion parameters, it brings powerful reasoning to
gemini 4 gets better every week
which could mean google is seeing early signs of RSI in its model development, and the RSI index shows a huge leap for gemini 4 argon over 3.8 flash in autonomous AI R&D
curious how much of gemini's progress is already being accelerated by AI
planner/reviewer: opus 5.5 xhigh
implementer: sol 6.1 high
i'd let opus handle architecture, tricky decisions, and reviewing the changes, with sol doing the bulk of the coding
demis hassabis was right
we're in the foothills of the singularity, where people seeing internal models have the clearest view of what's coming, while those outside the labs can barely predict where AI will be even 3 months from now
eventually, everyone gets left behind by the
