@raw_worksi
iAccount based inUnited States
About this account
- Account based in
- United States
- Connected via
- United States App Store
Account-level information from X, not a live location or the device used for a specific post.
RLM | AIE @ https://nitter.cf/t.co/terMAcKUx6 | Resident @primeintellect | Founder @polySpectra | Cohort 1 @activatefellows @berkeleylab | PhD @caltech | AB @princeton | #rwri
New Haven
Joined December 2013
- Tweets4K
- Following3.5K
- Followers2.9K
- Likes12.2K
Pinned Tweet
“Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.”
― Richard Feynmann
I am currently studying:
ralph wiggum, rlms, dspy, gastown & related agent orchestrators, agent-native apps and orgs
How about you?
Raymond Weitekamp retweeted
Fuck it, still early but here goes ...
We've just released Monty v1 - a Python sandbox that starts in 1 millisecond, not 1.5 seconds.
I just ran 10k sandboxed scripts in 674ms, something that would take a cloud sandbox > 3 hours.
This removes the biggest drawback of letting agents write code. The future is fast.
Even better, it's open source, you can install it from PyPI, npm or Crates now.
Serviced platform coming soon. Please get in touch if you want to be a design partner!
Who should try it?
⚡ if you care about startup time, use Monty
⚡ if you care about long-lived sessions, use Monty - Monty can be dumped and resumed at any external function call
⚡ if you care about accessing functions in the agent/host, use Monty - Monty makes it trivial to expose local functions into the sandbox
⚡ if you care about scale, use Monty - Monty workers use as little as 2MB of memory, meaning you can run thousands of concurrent sandboxes on a single machine
⚡ if you care about security, use Monty - we've run 3 rounds of bounty program and thousands of researchers have tried to break into our sandbox, meaning it should be secure to run untrusted code
Who should avoid it?
🚫 if you like to take a coffee break while waiting for sandboxes to start, DO NOT use Monty
🚫 if you enjoy the challenge of routing API requests from sandboxes through your corporate network to access state in your agent without exposing secrets to the sandbox, DO NOT use Monty
🚫 if your agent really needs to install packages from PyPI, Monty won't help you yet (spoiler: it probably doesn't)
pydantic.dev/docs/monty/get-…
Raymond Weitekamp retweeted
I've been using Jev for all kinds of things. This morning I had a realization I kind of like:
Use it to make non-black-box embeddings.
Instead of an embedding model spitting out 1,536 numbers that mean nothing, you ask Jev questions about each document. The answers become the vector.
An email in Cora:
"I got charged twice this month, pls fix asap"
[is_customer, urgent, about_billing, needs_reply]
[1.0, 0.9, 1.0, 1.0]
A newsletter:
[0.0, 0.0, 0.0, 0.1]
A friend asking about lunch:
[0.0, 0.1, 0.0, 0.7]
Then it's just old-school cosine similarity search. Search "billing issues from customers" as [1, 0.5, 1, 0.5] and the double charge comes out on top.
Same idea for our articles at Every:
[is_tutorial, about_ai, contrarian, beginner_friendly]
Or support tickets:
[is_bug, angry, churn_risk, enterprise]
Every number has a name, so you can see why something matched. Need a new dimension? Add a question. Want urgent stuff first? Change the query vector.
Trying this in @CoraComputer now to make search fast.
.@DHH: “If your app doesn’t have a CLI, I want to see it by next Friday.”
Me: “How about this Friday?”
It's pencils down, people. Writing code by hand is no longer an economically viable skill for most programmers at most companies. But the future of making software has never been brighter. Don't you dare black pill this beautiful moment! youtu.be/vDjW_dRyKXY?si=6Fsf…
Raymond Weitekamp retweeted
Introducing ReAnchor, a DSPy optimizer built for Jev and other System One models. cmpnd.ai/blog/building-jev-p…
1/ Today we're announcing the stable Cua Driver release for Omarchy - a new foundation for computer use, built into the OS from the ground up.
Over the last month, we worked directly with @dhh, @SpencerGBull and @vaxryy to bring a native synthetic cursor to Omarchy's Hyprland compositor, enabling true multi-cursor computer use at the OS level.
Cua Driver is open source and available at github.com/trycua/cua
Raymond Weitekamp retweeted
My most ambitious Omarchy app yet: Meeting Recorder.
It records your mic and computer audio as two tracks and transcribes everything locally with whisper.cpp. No bot in your call, nothing leaves your machine.
github.com/jankeesvw/omarchy…
Raymond Weitekamp retweeted
Just released Jev support for DSPy, with a new optimizer that calibrate’s Je’s output thresholds against your metric.
Works with existing DSPy signatures and metrics, can switch between LMs and Jev with one line.
Looking forward to speaking at @aiDotEngineer New York, Oct 12–14. Come say hi — ai.engineer/nyc/2026
while testing opus 5.5, claude code went off the rails and categorized every word on my computer with jev...
...anthropic i want my $2.41 back
Raymond Weitekamp retweeted
Wanted to see how well calibrated Jev by @typesafeai is to this famous chart about what probabilities people mean by specific words... and it's pretty well calibrated!
Raymond Weitekamp retweeted
You see, AI *is* dangerous, I had to laugh so hard I nearly choked. Just nearly.
one of the first things i've built for myself with one-system is a laya "router", that simply takes the typesafe api request and decides whether to route it locally to laya, or send it to the hosted jev.
this weekend i wanted a way to play with "all of the jevs" aka "system one models" aka "classifiers" aka "decision models" with a single @typesafeai api...
...so i made "one system":
github.com/rawwerks/one-syst…
Raymond Weitekamp retweeted
This is utter genius.
Adaptive reasoning in Codex that updates the reasoning effort *mid-CoT* based on the task difficulty.
Powered by 'Jev' from @miu21590.
nitter.cf/miu21590/status/210185…
Raymond Weitekamp retweeted
Introducing the Decision Index 0.1 ⚖️
a rigorous leaderboard comparing jev with 30+ open weights decision models
35+ benchmarks. asking 130K questions to each model
testing knowledge 🧠, automation ⚙️, understanding 🤔and even creativity 🎨
huggingface.co/spaces/multim…
this weekend i wanted a way to play with "all of the jevs" aka "system one models" aka "classifiers" aka "decision models" with a single @typesafeai api...
...so i made "one system":
github.com/rawwerks/one-syst…