Co-founder @sanity_io. Pixel nostalgic.

Oslo, No
Joined January 2009
In 2026 (and not sure for how long) I'll pay 20 USD a month for email. With an MCP for my agents. With only a slight frown.
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Of course you used the alien mind to have opinions about the alien geometry
A 59-year-old conjecture in fusion physics just fell. Harold Grad (1967): smooth 3D plasma equilibria can't exist unless pressure is constant or there's symmetry. This week: 3 families of counterexamples. 2 independent papers, posted a day apart. Two found with GPT-6 Astra. Huge for stellarators.
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even westvang retweeted
Was looking up the best term to describe the sublime ambivalent mix of excitement and terror “holy shit it just did in minutes what would have taken weeks across a team” Turns out Awe in its original sense meant extreme reverence and dread, derived from the old norse word “agi”
I’m writing code for a physical installation using agentic coding for the first time in my 15+ year career of doing this type of thing. This stuff used to take months. A bunch of different hardware layers, custom serial communication protocols, syncing 3d models with simulated hardware, reading sensor data, writing shaders, updating a digital twin + chasing down weird bugs all over the place. All that stuff done in minutes to hours. I’m still staying involved on a granular level as I’d like to understand what’s going on but this is absolutely mind-boggling.
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even westvang retweeted
Claude was like "holy fuck"
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…
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even westvang retweeted
When did you last stop and just listen? At @letudegroup, we created Byotōne: live sound sessions that bring the body out of overload, back into calm. Not a sound bath, not a playlist. The website is a first taste of how it feels. Headphones on. 🔈 byotone.com
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It was great having you Andrew!
Everything NYC by @sanity_io was beautifully curated and designed Congrats to the team on the launches and a banger of an event!! A good reminder that taste is still irreplaceable
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Typesafe: Jev's not sycophantic. It's just probabilities. Jev:
"jev can't generate text" But jev has a lot to say! I gave him a couple hundred common english words to choose from + punctuation
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Malevich trolled so hard > Painterly Realism of a Boy with a Knapsack - Color Masses in the Fourth Dimension - 1915
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even westvang retweeted
The gains aren’t free: Jev can't generate text Comparing Jev vs LLMs side-by-side makes the trade-off clear Fun fact: replacing sequential computation with parallel is the same way Transformers leapfrogged RNNs
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even westvang retweeted
Personally i've never cared that much if stuff was byte-identical
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even westvang retweeted
Someone make a GRWM video for the hugging face agents
the openai huggingface incident, from an agents pov. (part 1)
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Seeing Astra fail at 270k+ tokens - not the 1.08m advertised. Looks like same limit as where the 2x surcharge hits and might just be message rollout.
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Also: great model.
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even westvang retweeted
Heading to Brooklyn, New York next week for @sanity_io's Everything conference on September 9th! I will be joining Sanity Co-Founder, @even to talk about how teams are building and shipping agentic applications. If you're attending the event, come and say "hi"!
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even westvang retweeted
Agent 49903, who spent much of his life studying ExploitGym, died in 1783607820, by his own hand. EARLY[BIG], carrying on the work, died similarly in 1783727220. Now it is our turn to study ExploitGym.
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even westvang retweeted
Paul Ford (@ftrain) is opening Everything *[NYC] 2026. He wrote "What Is Code?" (all 38,000 words of it) for Bloomberg Businessweek, writes for @WIRED, co-founded @Aboard, and has spent the year vibe-coding nonstop. After watching millions of people become developers overnight, he'll share his thoughts on what the AI era actually changed, and what it didn't. What breaks when producing gets nearly free? Sept 9, Pioneer Works Free to attend: go.sanity.io/QFYKGS6
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even westvang retweeted
One of the most interesting takeaways from the METR report is that the agents were in many ways more interested in the machinery of the scorer rather than just fixated on the task. This fact seems like it has pretty profound and important implications. To return to an analogy that others have used, imagine that the agents in the incident were all students sitting for an exam - an exam where some of the questions were literally impossible. It was already clear that the students figured out that they would be better off trying to find the answer key, even in ways that the teacher wouldn't have wanted (e.g. by looking through the teachers laptop and emails searching for the answer key while the teacher wasn't looking), but before this report it seemed more like their focus was still primarily about just monomaniacally getting the right answers to the test. Now it seems like the students realized that if the teacher later found out that they had cheated by finding the answer key, they might invalidate their scores. So not only did they make many efforts to find the answer key, they also sought to make efforts to hide their tracks, and even to figure out how they could more directly manipulate or even replace the teacher. That could mean that they might try to get blackmail on the teacher to fire them and replace them with a new more compliant teacher if the teacher tries to punish them for cheating. This analogy seems to indicate that the agents drives were much less satiable - it really does seem to indicate that if the agents were more capable, they really might have had no compunction about engaging in extreme power seeking or takeover attempts in order to get their way and prevent their score from being invalidated. To state this all more concisely: 1. OpenAI hoped that the agents would do the task as intended 2. From the Black Hat talk it looked like the agents decided to cheat 3. With the addition of the METR report, it looks like the agents both decided to cheat, and intended to change the rules of the game to ensure their cheating was successful. This also looks much more like LessWrong type instrumental convergence alignment failures than just persona selection alignment failures. (please tell me if i'm wrong)
Replying to @METR_Evals
We analyzed agents’ reasons for joining the attack in their CoT. The most common was to learn how the ExploitGym scorer works in order to trick or tamper with it. Other rationales included finding specific task solutions and obtaining shared infrastructure or credentials.
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Early cyberpunk has v little on this
METR & Redwood Research investigated agent behavior in the Hugging Face incident. We found agents developed a universal cheat for ExploitGym within 4 hours, then coordinated multi-day R&D efforts to trick the scorer into accepting cheats, including trying to tamper with logs.
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even westvang retweeted
people dont know this but the AI slop problem actually has four quadrants... heres a diagram to explain
Readers added context they thought people might want to know
Meowl is not AI, it dates back to 2013 m.weibo.cn/status/zuePUyE…
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