After a major engineering effort at @elevenlabs, we're introducing Eleven Flash v2 & v2.5 - models that build on our previous Turbo series to deliver a new standard for ultra-low-latency performance.
We've brought inference time down from around 250ms to under 75ms, all while preserving human-like quality and keeping over 32 languages.
By VC standards we should either "conquer the world or die in a fire" and neither of these are spiritually compelling for me. I never wanted a company I just wanted a home. At this point we have a large and loyal paid community, we build tons of features for them (I think we did >30 releases this year) and they're pretty happy. We have enough revenue to fund tons of crazy R&D and our models are still the best by the metrics we care about (how the images look and how fun it is to make things). We have a huge backlog of exciting things to make our models way better. Zero risk. We did all this with no investors. Honestly, it feels like we are successful. The next metric of success I think about most about is now that we have "all I ever wanted" in terms of a big well funded R&D lab with cool people free to work on whatever we want... Can we now build something that would make baby David proud? And can we tell bold stories about a human future that people want to be a part of? I think we can.
at some point anthropic will start competing on verticals with it's own app (e.g. legal, vibe apps, health) and it's classifier will start nerfing those api requests too...
A new Claude launch felt like the right moment to share a work about #Claude’s first announcement.
“Introducing 1484 19223” is a 30 × 30 in. backlit lenticular light box from Lexicon 4178 44, a physical artwork series I created about tokenization in modern LLMs.
Viewed from different angles, the artwork shifts between the English words humans read and the token IDs Claude 1 processes: making tokenization visible as a physical process.
The colors are inspired by Claude Code’s color scheme, and the dark palette with LED backlighting evokes the glow of screens, terminals, and development environments where we now collaborate with AI.
Full series: https://t.co/eTXV7h7zZ9
@AnthropicAI@claudeai@ClaudeDevs
I created Lexicon 4178 44, a physical artwork series that reveals the hidden tokenization process within modern LLMs.
The first work, “Introducing 16047 38 2898,” is a 7-flip, 30 × 30 in. lenticular artwork based on the 2022 announcement of ChatGPT by @OpenAI. Viewed from different angles, the artwork shifts between the English words and GPT-3.5 token IDs: making tokenization visible as a physical process rather than an invisible preprocessing step.
The piece is showing in the #CVPR2026 Art Gallery in Denver, CO (curated by @elluba) starting today.
@cvpr #CVPRArt
Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference”
We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to prompt engineering. Here we share what we are working on and connect with the research community frequently and openly.
The name Connectionism is a throwback to an earlier era of AI; it was the name of the subfield in the 1980s that studied neural networks and their similarity to biological brains.
https://t.co/lrJioBmpbT