Pinned
This April Fool's Day, we decided to stop joking around.
Trinity-Large-Thinking is out now.
00:00
Lucas Atkins
3,593 posts
Lucas Atkins
@latkins
cto @arcee_ai
- Scarlett Johansson’s work on seq2seq was instrumental to getting ML where it is today.TIME's new cover: The 100 most influential people in AI ti.me/4dQcJ1Q
- Tonight, I am releasing eight Gemma fine tunes and a beta of their combined mixture of experts model named GemMoE. GemMoE has ALL Gemma bug fixes built-in. You do not have to do anything extra to get great fine tunes/inference with it. It's a beast of a model. This would not
- Today was my last day at xAI. I was in charge of keeping people from making unauthorized changes to the system prompt. It sounds simple when I put it like that, but in practice, it was a game of cat and mouse. Some days, it felt like I was the only one standing between order
- I'm raising at 7.9B
Today we're sharing the next phase of Reflection. We're building frontier open intelligence accessible to all. We've assembled an extraordinary AI team, built a frontier LLM training stack, and raised $2 billion. Why Open Intelligence Matters Technological and scientific - Today, we’re officially releasing the weights for AFM-4.5B and AFM-4.5B-Base on HuggingFace. This is a major milestone for @arcee_ai. AFM is designed to be flexible and high-performing across a wide range of deployment environments.
- Our customers needed a better base model <10B parameters. We spent the last 5 months building one. I'm delighted to share a preview of our first Arcee Foundation Model: AFM-4.5B-Preview.
00:00 - I'm excited to release a project I've been working on the last couple of weeks. Qwen1.5-8x7b: huggingface.co/Crystalcareai/… And the accompanying dataset created with the intention of encouraging MoE models to organically develop their own experts: huggingface.co/datasets/Cryst… The purpose
- I can’t stress enough how unbelievably mid @PrimeIntellect is and If no one else sees it I must be growing crazyReleasing INTELLECT-2: We’re open-sourcing the first 32B parameter model trained via globally distributed reinforcement learning: • Detailed Technical Report • INTELLECT-2 model checkpoint primeintellect.ai/blog/intellect…
- I can confirm the upcoming models you're thinking of are...out of this world good.
- You can fake it pretty far in this industry just by saying, “Hrmm, that’s cool but I’m worried it won’t generalize,” whenever you’re presented with literally any information.
- We’re going permissive: Apache 2.0 across the board. AFM-4.5B is now relicensed from Arcee to Apache 2.0; the agent variant will launch under Apache 2.0; and all upcoming releases ship with open weights. Three models are in training.
