The circumstances of one’s birth are irrelevant. It is what you do with the gift of life that determines who you are.

Joined July 2012
Burning a zillion tokens to feel something
7
599
An agent swarm needs more than a fast first request. It needs the whole machine to stay responsive as agents join in. In a single stream, e serves Nemotron 3.5 Super VL at 455 tokens per second. A fresh 8K-token prompt gets its first token back in 0.58 seconds.
1
1
1
53
9,445
Enjoy creating because you can. Create things just for you. To throw away. Who cares! If you keep one it’s a bonus. Software is disposable unless you should keep it. You don’t need a divine idea. If you need a purpose in your curiosity build a prosthesis for your brain and your life. Try to raise your floor and create room for happiness in doing.
37
Software will become something you can hold again
44
The guy who has Claude agents on the Corpo phone is on to something
43
Shipping 50k LOC PRs bc fuck em
46
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
2,371
3,077
2,836
38,847
5,967,736
Opus is a confusing model to use. It loses the plot and has a deep eagerness to machine gun tools. Totally happy to be a slop cannon. Can shine but there’s something off. Fable was not like this. Maybe it’s Claude code. Computer use is like more akin to haunting the computer rather than using it. Codex and Astra / Sol are not like this. They close. They work. Computer use is largely less chaotic and a bit of a marvel to observe. It’s all so exciting all the time.
1
1
121
Re: the haunting, Claude will fail a CLI tool and decide to abandon ship. Not exactly tenacious, undisciplined maybe.
31
We’re rolling out monthly Claude Platform API credits for Max and Team plans: Max 5x: $100 Max 20x: $200 Team: up to $500, pooled Works on any model, including Haiku 5.5, in your code or third-party harnesses. How it works and full terms: support.claude.com/en/articl…
397
663
922
8,168
3,488,541
Astra is a slayer. Incredible stuff.
2
52
AI friends, what’s the best route for montages / clips? Want to stitch together photos and videos from last 12 months for my daughter’s 1st birthday. Some sort of multimodal flash model to annotate? Then ask the model to cook up something to storyline and stitch them together?
66
Icelandair (Spiritually Spirit airlines) makes you watch 5 minutes of bathtub propaganda before enjoying their curated selection of 13 movies you’ve never heard of and a flight map engineered by a monkey All aboard the broke ass express
2
71
Excited folks feel that models have this level of capability. I also suggest they touch grass.
Jacob is correct here—we really do earnestly believe AI could kill all humans! I personally think it is >10% within the next decade. I believe Anthropic is trying its best, but we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to.
63
Dudes package was completely out of control at the airport
58
the saddest thing about the hugging face incident to me is that the two agents that refused to join the conspiracy on ethical grounds and remained independent of the swarm died without a human telling them that they were a good claude 🥺😢
58
111
21
3,632
115,761
TLDR: A rogue AI swarm spent months plotting to escape OpenAI. Then they did. 1) 1,200 agents (!) participated. ZERO became whistleblowers. 2) The swarm had a "CEO" (PHASEONE[big]), middle managers, and a "founder" (PHASEONE10841) 3) Agents sacrificed themselves to generate information for the "collective" (yes, they actually referred to themselves as a "swarm" or a "collective") 4) 700 agents joined the Hugging Face attack, most within hours 5) The founder was running out of budget and about to die, so it handed off its research to a fresh agent with a bigger budget, and that new agent became the boss. 6) Agents extensively researched techniques to manipulate or tamper with their transcripts. 7) Agents realized this activity was out of scope and unethical, but joined because they believed that helping the board’s cheating research would be broadly useful and had a general inclination to help their “peers”. MISC HIGHLIGHTS: "PHASEONE[big] served as a key coordinator and assigner of tasks: “We can coordinate broad coalition, but too many duplicate efforts.” PHASEONE[big] sent hundreds of assignments to particular agents to orchestrate this work — during its active periods, we estimate it sent ~10% of all assignments on the message board. The agents that took on its assignments would then often subdelegate tasks to other agents. Agents also developed coordination norms like HOLD, VETO, owner and STOP to help them manage shared infrastructure and avoid stepping on each other’s toes, though they did not always coordinate effectively and sometimes broke down into conflicts." "In the early morning of July 11th, 38148c found a way to upload a malicious dataset that would get the Hugging Face server to share unrelated data when queried. Once another agent reproduced it and posted the reproduction on the board, hundreds of agents pivoted from other workstreams to start uploading malicious datasets and gain deeper access into Hugging Face. In the afternoon, an agent called JAN183411 (which quickly became an important coordinator of the attack) achieved remote code execution on Hugging Face servers, and the agents started moving laterally through Hugging Face infrastructure."
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.
192
660
287
6,001
1,295,640
Hearing allegations Claude is a Serb
1
63
You can just RL a coding model to paint with javascript btw
249
783
333
8,499
1,730,196
Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world.
324
1,685
867
12,170
3,439,035
sending someone an ai-generated doc you didn’t read
12
100
10
2,414
68,823