We are releasing Carbon: a crazy fast DNA model
Carbon is 275x faster than the next best model. So fast you can process the whole human genome on a single GPU in <2 days.
Here are the tricks we used:
When modelling DNA sequences a lot of the performance comes down to tokenizing the sequences in a smart way. BPE tokenizer struggle because there are no whitespaces and character (called base in DNA) level tokenizers waste a lot of compute on too many tokens.
Carbon is built with a unique tokenizer: we split sequences in chunks of 6 bases, but during both training and inference we can work with single base resolution. That's similar to having word tokens but resolving them at the character level. All possible thanks to the DNA tokens unique structure.
The architecture combined with the tokenizer makes the model 275x faster than the previous SoTA (Evo2) at this size.
We built an interactive demo so you can explore how the model can generate DNA sequences, investigate the structure of genes, predict the effect of mutations, generate and fold proteins and even reconstruct parts of the tree of life.
https://t.co/OWEUoxAFjG
Huge news today at Isomorphic Labs!
We have secured $2.1 Billion investment to advance the most important mission that AI can unlock: to change the way we can improve human health and create new medicines for patients around the world.
This funding milestone was built on the strength of our AI drug design engine (IsoDDE), which has already proven its worth (aside from smashing benchmarks) by designing breakthrough new molecules and creating new scientific breakthroughs across our drug discovery programs.
Our IsoDDE is giving us a repeatable way to design new medicines for a wide range of diseases, building a future of medicine that we couldn’t unlock until now.
A massive thank you to our incredible team across London, Boston and Lausanne, whose relentless work made this possible, and to our partners who share our ultimate vision.
Now we have so much more to build together!
tech Twitter: "Cursor peaked, everyone's already moved on to agents / next hype."
Reality: ARR just doubled in 3 months to $2B.
The adoption S-curve still has tons of runway left. Early adopters might be moving on but the mainstream is finally showing up.
what a fucking amazing way to use AI
- dude spins up an ai agent to lowball sellers on facebook marketplace
- gets a Jeep Wrangler for $1500 😭 Ps5, 3 TVs FOR FREE
- the lesson: AI can make marketplaces MORE EFFICIENT
people have been gate-keeping FB marketplace for a while - now you just prompt an agent to do all the work for you
saw some dude doing this with properties on sale too lmao
amazing.
Thanks to good people at @AnthropicAI we now have an official MCP for Excalidraw!
Take it for a spin on @claudeai (search for Excalidraw in Connectors, or use in Claude Code and elsewhere).
More to come. ✌
Dexter hit 10,000 stars on GitHub.
It’s OpenClaw and Claude Code, for finance.
What Dexter can do:
• find undervalued stocks
• break down financials
• turn research into a thesis
All our code is open source.
"Opus 4.6 just figured out a product, how to position and market it, why it defeats competitors, all in one prompt"
ok then why haven't you sold any the last ten times you did this
Introducing Claude Opus 4.6. Our smartest model got an upgrade.
Opus 4.6 plans more carefully, sustains agentic tasks for longer, operates reliably in massive codebases, and catches its own mistakes.
It’s also our first Opus-class model with 1M token context in beta.
Announcing our latest open medical AI models for developers: MedGemma 1.5, which is small enough to run offline & improves performance on 3D imaging (CT & MRI), & MedASR, a speech-to-text model for medical dictation. Both available on Hugging Face + Vertex AI. https://t.co/jPm4UodeAH
#MedGemma #HealthAI #GenerativeAI
launch
machines alpha release is live in the US
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https://t.co/go3D7oJic8