Florida, USA
Joined January 2021
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Claude Duet can check a task every 1 hour, Grok Bot every 5 minutes, Muse every minute.
Small but mighty details.
Jeremiah retweeted
gpuix apps can now render in the terminal
create GUIs, use them as TUIs
- embed them in VSCode, Zed, Codex
- split GUIs into panes
- use all terminal power features for your GUIs
powered by the Kitty Graphics protocol
You can technically use Hamster for anything. If you're hooked on Grok Bot or Dots or Muse, definitely try this out!
If you like the idea of using Glass but don’t want to wait, try @usehamster
It’s the multiplayer self-improving, self-healing workspace we’ve been working on for more than a year that streamlines the full SDLC
And it’s S-tier
- full direction loop for the whole team
- discovery and alignment across living artifacts
- cloud delivery across briefs and initiatives
- shared method and skills + a curated library of methods and skills to one click install
- routines for automating work across the team
- self-writing blueprints describing product that auto update as your team ships
- self-healing context graph with team decision intelligence and intent lineage to answer what was built, when, why and by who and who made the decisions
Built with love by the team who built @TaskmasterAI
Jeremiah retweeted
Big news.
Shaders is now open source 🔥
Use any of our 200+ WebGPU components in your work. Ship magic in a client site, a template, a product, a library, anything. Plus, you can export code for any framework, for free.
Give it a star: github.com/shader-effects-in…
Jeremiah retweeted
1/ We're reimagining what it means for your agents to work with all your computers.
Today we're excited to share Cua Spaces, built on Cua Driver and our virtualization stack, rolling out on macOS today.
Download it now, it's free and source-available: spaces.cua.ai
This makes the best of all my AI subscriptions and keeps the ball rolling. It's awesome.
horde.sh/ built this a few weeks ago, it’s working great for us internally
Jeremiah retweeted
I think I just cooked something 🔥
jev(): a PostgreSQL extension that searches your whole database in natural language. No index, no embeddings, just one function.
WHERE jev(people, 'could work from home')
or
WHERE jev(people, 'name sounds european')
129 rows judged in ~1s for $0.0009. Second run: 6ms from cache.
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
Jeremiah retweeted
1/ Fast Computer Use is now solved with @typesafeai Jev + Cua Driver.
Available in development preview for macOS, Windows, and Linux. We call it jev-use.
Draft #3943: github.com/trycua/cua
Jeremiah retweeted
I just built Easy-Jev, a Jev demo anyone can try right now!
Change the inputs and watch the classifications change in real time.
I did my master's thesis on classification models so it's fun to see a modernized version of a very useful alg
Typesafe are correct in that LLMs are just one approach to intelligence, and I think as time goes forward we’re going to see a hybrid of dif models splitting up and allocating correct parts of a problem, using less tokens overall and leaning on LLMs for less of the answer.
I’m bullish on what I call 'combination input' approaches: breaking a statement down into a series of classifications and routing each to the right type of model rather than just brute forcing the whole thing with an LLM
cc / @CompleteSkeptic @typesafeai
Link below, please enjoy
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
Jeremiah retweeted
Introducing SWE-2, our closest model yet to the frontier.
On leading evals, it scores on par with recent frontier models – at up to 70% lower cost.
We scaled RL to multiple trillions of parameters, with a refined recipe that pushes the Pareto curve on both capabilities & cost.
