@raw_works

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
“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?
5
45
7,248
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-…
56
64
13
737
44,219
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.
71
40
23
913
120,806
.@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…
1
114
Raymond Weitekamp retweeted
Introducing ReAnchor, a DSPy optimizer built for Jev and other System One models. cmpnd.ai/blog/building-jev-p…
8
33
1
229
10,968
Raymond Weitekamp retweeted
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
107
149
50
1,713
248,554
Raymond Weitekamp 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:
Claude Opus 5.5 has the best visual design of any model I have tested so far
360
633
379
8,289
2,015,282
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…
123
101
14
2,002
79,019
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.
DSPy 3.4.0 was just released! This release includes native support for Jev and System one models inside of DSPy! Use it with compatible signatures. This release also includes a brand new optimizer, ReAnchor, specifically for calibrating outputs with confidence.
4
7
2
89
5,893
Raymond Weitekamp retweeted
the big labs and new media are black holes for talent and epistemic collapse here's to the folks on the outside
83
54
46
651
141,395
Looking forward to speaking at @aiDotEngineer New York, Oct 12–14. Come say hi — ai.engineer/nyc/2026
1
9
560
run.prose.md now updated to all gpt-6! sorry for the delay ;)
1
1
804
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
2
152
Raymond Weitekamp retweeted
Here is official trailer, You Can See Everything
2,132
12,984
5,516
175,918
36,018,333
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!
pondooring what it's like to be a guy who hears "impossible" and thinks "yeah that's about 10%"
24
42
8
439
40,781
just a couple weeks late for burning man... ...next year
opus 5.5 passed a real threshold at making music with code! this is one shot from asking "make some bass music with javascript" 🔊
166
Raymond Weitekamp retweeted
You see, AI *is* dangerous, I had to laugh so hard I nearly choked. Just nearly.
3
2
57
18,599
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.
1
1
201
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…
47
20
8
608
166,383
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…
28
52
6
312
42,739