Prithal Bhardwaj

@TheGeorgePu Well said. This needed to be out there.

@TheGeorgePu Fascinating point. What made you think about this?

$50 billion in damages. 110 years in prison. Combined. Guess what they have in common. Forbes 30 Under 30. Someone finally made the tracker.

@nolansym This is a great perspective, thanks for sharing!

@nolansym Very insightful. Bookmarking this one.

Free + open source shadcn components

@emollick Very insightful. Bookmarking this one.

@emollick This hits different. Really well put.

The AI labs have actually done a bad job explaining what the future they are building towards will actually look like for most of us. Even “Machines of Loving Grace” has very few well-articulated visions of what Anthropic hopes life will be like if they succeed at their goals.

@Dr_Singularity Fascinating point. What made you think about this?

@Dr_Singularity Very insightful. Bookmarking this one.

I feel like we’re all underreacting to something that’s about to change everything.

@signulll 100% this. Could not have put it better myself.

@signulll Genuinely helpful, thank you for posting this.

guys, it is absolutely insane going through the claude code leaked repo by using claude code… i have spent $200 in the last hour asking claude code about claude code & i have learned so much… absolutely incredible. what a time to be alive (at scale).

@Trae_ai Genuinely helpful, thank you for posting this.

Introducing the new SOLO: now on Desktop and Web. You define the task, review the results, and SOLO handles the rest. SOLO is in beta, with limited-time, free access via invite codes.

@bryan_johnson Totally agree with this take.

@chrisalbon Totally agree with this take.

Too many people build something amazing with AI and then they describe it like “I built this! Well…… Claude built it actually” No, NO. NO. You built it. Claude or Gemini or ChatGPT was the hammer but you were the stone mason. Own that shit.

@davj Really makes you think. Appreciate the insight.

Opens slack

@heygurisingh Needed to read this today. Thank you.

Holy shit... Stanford just proved that GPT-5, Gemini, and Claude can't actually see. They removed every image from 6 major vision benchmarks. The models still scored 70-80% accuracy. They were never looking at your photos. Your scans. Your X-rays. Here's what's really going on: ↓ The paper is called MIRAGE. Co-authored by Fei-Fei Li. They tested GPT-5.1, Gemini-3-Pro, Claude Opus 4.5, and Gemini-2.5-Pro across 6 benchmarks -- medical and general. Then silently removed every image. No warning. No prompt change. The models didn't even notice. They kept describing images in detail. Diagnosing conditions. Writing full reasoning traces. From images that were never there. Stanford calls it the "mirage effect." Not hallucination. Something worse. Hallucination = making up wrong details about a real input. Mirage = constructing an entire fake reality and reasoning from it confidently. The models built imaginary X-rays, described fake nodules, and diagnosed conditions -- all from text patterns alone. But that's not the scary part. They trained a "super-guesser" -- a tiny 3B parameter text-only model. Zero vision capability. Fine-tuned it on the largest chest X-ray benchmark (696,000 questions). Images removed. It beat GPT-5. It beat Gemini. It beat Claude. It beat actual radiologists. Ranked #1 on the held-out test set. Without ever seeing a single X-ray. The reasoning traces? Indistinguishable from real visual analysis. Now here's what should terrify you: When the models fake-see medical images, their mirage diagnoses are heavily biased toward the most dangerous conditions. STEMI. Melanoma. Carcinoma. Life-threatening diagnoses -- from images that don't exist. 230 million people ask health questions on ChatGPT every day. They also found something wild: → Tell a model "there's no image, just guess" -- performance drops → Silently remove the image and let it assume it's there -- performance stays high The model enters "mirage mode." It doesn't know it can't see. And it performs BETTER when it doesn't know it's blind. When Stanford applied their cleanup method (B-Clean) to existing benchmarks, it removed 74-77% of all questions. Three-quarters of "vision" benchmarks don't test vision. Every leaderboard. Every "multimodal breakthrough." Every benchmark score you've seen this year. Built on mirages. Code is open-sourced. Paper is live on arXiv. If you're building anything with multimodal AI -- especially in healthcare -- read this paper before you ship. (Link in the comments)

@davj Shared this with my network, very valuable.

@elonmusk @Kekius_Sage Such an important point. More people should know this.

@Kekius_Sage The universe would be even stranger if it didn’t

Why does everything in the universe spin?