AI Engineer at a VC backed one person company | Founder @AntlerGlobal | prev @microsoft |
🇬🇧🇮🇳
Joined November 2023
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Seth retweeted
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
Seth retweeted
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Seth retweeted
We are releasing Ultramarine 1 Flash, a frontier-class model built for knowledge work. It is open-source and achieves similar performance to Fable 5, while being 60x cheaper.
It was post-trained by a team of 5 for ~$300k all-in. Available on API now, with weights releasing in 2 weeks.
Seth retweeted
Just ran Argon on my "codebase analysis" bench. Not looking good. Only model with a >50% false claim rate 🙃
Gemini 4 Argon is here. I got early access (thank you friends at Deepmind!)
It is a huge jump for Gemini, and pretty good value for the price. First every model to get a perfect score on Skatebench-private
It’s still a Gemini model though. Does weird shit regularly and I don’t feel like I can trust it at all.
Video with more thoughts coming soon :)
Seth retweeted
I made this with one prompt using Opus 5.5
I spoke to my computer for 5mins, claude worked for 12 hours, and I woke up to this
full prompt:
Seth retweeted
Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR.
We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use.
Read more: anthropic.com/news/claude-di…
Seth retweeted
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
Seth retweeted
Ironic how "Build what moves India" hackathon takes you to SF as first prize.
Heartfelt thanks to everyone who participated. Congratulations to the winners. All for a good cause - some really good solutions!
Also big thanks to the mentors @ponnappa @championswimmer @_swanand @_svs_ @kirat_tw @mvkaran for their time in helping with the selections and feedback for the participants.
Chatting with govt bodies to give the winners time of day. Fingers crossed and more soon!
Seth retweeted
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
Seth retweeted
I still don't understand why everyone is not using this yet. Thanks to it, a year ago I increased my income to 17,000 dollars a month
Andrey Karpathy, co-founder of OpenAI, published a simple idea that got 16 million views: stop using AI to write code, use it to build a second brain
You point Claude Code to a folder, drop any source in there (an article, transcript, PDF) and Claude reads it, links it, and saves it into a living wiki of everything you know. It compounds like interest: the more you feed it, the smarter it gets
Here is the gist:
Install Obsidian, create a vault, open it in Claude Code
Paste the file with Karpathy's wiki idea and tell Claude to build it
Claude creates three folders: raw for sources, wiki for its pages, CLAUDE
which runs everything
Drop any source into raw and say "ingest this"
Ask questions across everything, forever
Five minutes to set up, and you never start with an empty chat again
The full step-by-step guide is in the article. Save to bookmarks
Seth retweeted
chatgpt for building interactive educational tools
Only if education could be this interactive ❤️🔥
I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it.
A 3D human anatomy application built with @threejs using GPT 5.6 Sol.
It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one.
Next, I converted each of those images into 3D models using @tripoai (and no, they didn't sponsor this 😄).
After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models.
Codex built the first version beautifully, but there was one big problem.
Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps.
After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand.
Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that.
The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step.
It genuinely felt like building something that could make learning anatomy much more engaging.
The inspiration came from @DilumSanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day."
And I did it :D
Live: anatomy-livid.vercel.app/
Code: github.com/thebuggeddev/anat…
