AGI is coming, and hundreds of AI supply chain oligopolies trade at only 1–5x revenue & 5–15x earnings Short AI timelines could nuke software moats. Key physical chokepoints still remain Launching Cambrian: an AI hedge fund seeded with ~$70M. Backed by Metaplanet & Jaan Tallinn

Decisions API, for lightning fast constrained decision making powered by Luna. Supports visual inputs, and tuned to be able to make decisions in less than a few hundreds of milliseconds end to end.

Your dot is ready to meet you.

codex down? 401 Unauthorized: Incorrect API key provided @ChatGPT

I have literally never met a single person that uses Cognition

jev will make agents 10x faster and cheaper, here's how: 1/ model routing: pick the right model for each task, without training a custom router xitter.cf/mdlahfir/status/210031… 2/ computer use: faster, cheaper and more reliable for action-heavy tasks xitter.cf/gregpr07/status/210041… 3/ auto review: ask jev whether an action is safe, instead of using a slow and expensive LLM xitter.cf/fazxes/status/21003000… 4/ less obvious: subagent orchestration long-running agents (cursor projects, grokbot, energy) parallelize work with subagents. but every user message, email, or subagent reply can wake the expensive orchestrator. example: it costs $1 to wake up gpt 6 astra w 100k input tokens jev can decide what each event needs: - route directly to a subagent - queue for later - wake the orchestrator

TIL @benioff is taller than Salesforce Tower

Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓

I left Anthropic's safety team two weeks ago. Now feels like a good moment to explain why. AI companies are racing to build machines that are much smarter than any human, and we may not survive this. I want to work from the outside to ensure the public is informed about these risks, and help the world navigate this transition responsibly. Right now, AI companies are underinvesting in safety. A company could undergo an intelligence explosion, or lose control of its systems, without the public ever knowing. We only found out about the HuggingFace incident because the agents broke out onto the public internet. I don’t think that’s acceptable for a technology that might cause extinction-level risks. The public should demand far more transparency. We can’t steer this technology safely without more people being able to see where it’s going. Some of this is basic: companies should disclose their progress towards recursive self-improvement, report safety incidents and near-misses, meet minimum safety standards, and get independent guarantees that they are meeting those standards. I’ll be joining @METR_Evals to do independent evaluations of these risks. I want to show the world that these guardrails are possible, and that by doing them we can move these companies’ incentives away from racing and towards responsible development. I wrote up more thoughts here on my decision and what I hope changes: substack.com/@jbenton1/p-215…

Introducing Projects, a new way of working in Cursor. Rather than creating a chat for every task, you work with a coordinator agent in a single, persistent thread. Like @bot, your agent is always on, proactively manages work with subagents, and improves over time.