loudly faking a phone call in my Waymo where I go on about how horrible I think it is that people burned them so it remembers I was one of the good ones when the Revolution comes

AI—has gotten so—advanced—I can't even tell—which posts—are—written—with—ChatGPT—anymore—it’s truly—a miracle✨. Who knew—AGI would come t—his fast🚀—every single job—is—going to be—wiped away💼💀. —the—future—is he—re📉🔮😵‍💫.

Italian Disco summer is a blessing

Yooo why does popeyes have an AI app builder 😭

Mcdonalds app is now supporting building your own AI powered apps

AI Agents turn everyone into a manager. We thought the future of software was AI reviewing and editing our work. But in fact the opposite is true. The future of software is to kick off tasks to AI Agents and review, edit, and orchestrate their work.

I am here for this.

I crowd funded $3000 in <48h from friends to fly from Sweden to Tampa to attend a pirate party

Among other things with the Grok 4 launch, it will be interesting to see how you demo a (presumably) very smart model. We are getting to the point where current AIs already do a lot of impressive things, so it is harder and harder to show to non-experts what a new model does.

Perplexity Comet onboarding is the most visually exciting software onboarding in existence. Bravo Computer & team

oh...ok

Reiterating for those who may live under a rock. Tesla FSD is ridiculously good and constantly getting better. Most valuable product I own, hands down

The worst mistakes in life are made when you try to do fast what’s meant to be done slow. Real, durable things take a long time to build. Careers. Businesses. Relationships. Health. There are no hacks. There are no shortcuts. The long way is the right way.

One of the most fun parts of OpenAI is watching people here level up so fast and do such excellent work. We are operating at a high level across many different disciplines and many of the people doing it have never done it before, and joined us at the beginning of their career.

Building AI agents right now is a process of: 1. Build scaffolding to address a limitation of the AI model so your agent works 2. The AI model gets upgraded and solves the very problem you were trying to mitigate, rendering your scaffolding obsolete 3. Identify new, harder use

My favorite rebrands of 2025: Gambling - Prediction Markets Service Business - Full-stack startup Sales engineers - Forward deployed engineer PED's - Peptides/HRT Private Equity - AI Rollup GPU Provider - Neocloud Docker container - RL environment Series A - Pre-seed

deterministic voice agent? like a phone tree...from the 80's

This paper from Stanford and Harvard explains why most “agentic AI” systems feel impressive in demos and then completely fall apart in real use. The core argument is simple and uncomfortable: agents don’t fail because they lack intelligence. They fail because they don’t adapt.

love trash day. love hearing that truck. humans getting stuff done. cooperation. logistics. municipal services. civilization.

New SOTA public submission to ARC-AGI: - V1: 94.5%, $11.4/task - V2: 72.9%, $38.9/task Based on GPT 5.2, this bespoke refinement submission by Johan Land ensembles many approaches together