Rayan Garg retweeted
We introduce Maple-Preview, an open-source 20B-A1B ternary-weight reasoning LLM, SOTA in its weight class.
It solves IMO-level problems and runs at 200+ tokens/s on a Mac Mini M4, 5–16× faster than efficient models like Gemma 4, Qwen3.5, and gpt-oss.
deepgrove.ai/maple-preview
Rayan Garg retweeted
Browser agents use computers the same way humans do, unlocking powerful use cases for personal assistants, browsers, and enterprise workflows.
After talking to 20+ founders in the space, we're excited to put out the definitive market map for browser agents.
Rayan Garg retweeted
Theta (@trytheta) allows AI agents to learn from their mistakes in real-time. Their memory layer has already improved the accuracy of OpenAI Operator by 43% with 7x fewer steps taken.
ycombinator.com/launches/NTK…
Congrats on the launch, @RayanGarg, @tsha444, and @_gurvir_!