Arun Mohan TP
64 posts
@ArunMohanTP
Interested in programming and building AI tools. Snorkeling, diving.
As promised! Gemma-4-21B-REAP is out! Results are great it held up really well and actually gained accuracy on reasoning tasks. MLX & GGUF bros do you thing! This should fit on as little as 12GB of vram with some context, or 16GB with full context huggingface.co/0xSero/gemma-4…
Qwen 3.6 Plus from @Alibaba_Qwen is officially the first model on OpenRouter to break 1 Trillion tokens processed in a single day! At ~1,400,000,000,000 tokens, it’s the strongest full day performance of any new model dropped this year. Congrats to the Qwen team!
slowly starting to use plan mode a LOT less nowadays i realised whenever i use plan mode, it generates a gigantic plan and then i dont read it and hit build out of laziness having a meaningful conversation with the AI agent to discuss implementation feels a lot easier 🤔
Trained on 28T tokens with scaled RL, LFM2.5-350M is a step change from LFM2-350M: > instruction following: 18.20 → 40.69 > data extraction: 11.67 → 32.45 > tool use: 22.95 → 44.11 These are the capabilities that matter in production.
Today we're releasing Trinity-Large-Thinking. Available now on the Arcee API, with open weights on Hugging Face under Apache 2.0. We built it for developers and enterprises that want models they can inspect, post-train, host, distill, and own.
Today, we release LFM2.5-350M. Agentic loops at 350M parameters. A 350M model trained for reliable data extraction and tool use, where models at this scale typically struggle. <500MB when quantized, built for environments where compute, memory, and latency are constrained. 🧵
Say hello to Gemini 3.1 Flash Live. 🗣️ Our latest audio model delivers more natural conversations with improved function calling – making it more useful and informed. Here’s what’s new 🧵
Everybody wants AI to help cure cancer. Why isn't every AI company obsessively focused on that?
Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound. Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks. Try the demo and learn more here: go.meta.me/tribe2
You can now create longer tracks with Lyria 3 Pro. 🎶 Map out intros, verses, choruses, and bridges to build high-fidelity compositions up to 3 minutes long. 🎹
You can now create longer tracks with Lyria 3 Pro. 🎶 Map out intros, verses, choruses, and bridges to build high-fidelity compositions up to 3 minutes long. 🎹
