Magic (@magicailabs) / X

Magic

28 posts

Magic

@magicailabs

Long-context, test-time compute, and e2e Reinforcement Learning to build a superhuman coding agent (that then builds the rest of AGI for us). Join us magic.dev

San Francisco

Joined April 2022

Pinned
Magic
@magicailabs
Aug 29, 2024
LTM-2-Mini is our first model with a 100 million token context window. That’s 10 million lines of code, or 750 novels. Full blog: magic.dev/blog/100m-toke… Evals, efficiency, and more ↓
100M Token Context Windows — Magic
From magic.dev
Magic
@magicailabs
Nov 21, 2024
Excited to announce we’re building an Applied Team focused on post-training. Come explore what's possible with our new (and still unreleased) LTM2 models and their 100M token context window. Apply here: magic.dev/careers/5652b4…
Magic
@magicailabs
Sep 24, 2024
Very excited to welcome @nvidia as Magic's latest investor! With their support, we’re looking forward to scaling long context and inference-time compute.
Magic
@magicailabs
Feb 15, 2024
We've raised $117M from @natfriedman and others to build an AI software engineer. Code generation is both a product and a path to AGI, requiring new algorithms, lots of CUDA, frontier-scale training, RL, and a new UI. We are hiring!
Magic
@magicailabs
Jun 6, 2023
Meet LTM-1: LLM with *5,000,000 prompt tokens* That's ~500k lines of code or ~5k files, enough to fully cover most repositories. LTM-1 is a prototype of a neural network architecture we designed for giant context windows.
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