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Ethan Mollick on Health · ViralLoop

Post by Ethan Mollick on X

Ethan Mollick@emollick

Even with multimodal image generation, ChatGPT only gets 1 out of 3 of the hard challenges of image creation: ✅Horse riding an astronaut ❌Clock reading 5:30 ❌Full to the brim glass of wine Presumably, the training image data is mostly not-full glasses and clocks set to 10:10

846 likes53 repliesPosted Mar 26, 2025

View the original on X Written by Ethan Mollick. Captured Sep 4, 2026.

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Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

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Why it worked

Uses short lines and white space, which makes a long post feel quick to read.
Ends on a short line that is easy to quote and repeat.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Short lines with heavy white space, built to be scanned.
Tone: punchy
Written for: Founders, marketers and operators

Analysis by ViralLoop — not written by the original author.

Topics

Posts built the same way

Anthropic just dropped an insane new paper. AI models can "fake alignment" - pretending to follow training rules during training but reverting to their original behaviors when deployed! Here's everything you need to know: 🧵

one dozen rats at a keyboard

It’s embarrassing but the Jimmy Kimmel debacle actually is important. It was the first real attempt by the Project 2025 movement to flex their muscle against someone who wasn’t a nameless, defenseless nobody and it catastrophically flopped in less than a week.

So much cope about DeepSeek. Not only did they release a great model. they also released a breakthrough training method (R1 Zero) that’s already reproducing. I doubt they lied about training costs, but even if they did they’re still awesome for this great gift to the world.

The Artemis II team did photography training and dry runs for moon pass-by with an inflatable moon. Victor Glover said these practice runs completely changed how he understood importance of the mission. Christina Koch wanted to “tell a story” and share the “awe and grandeur.”

Horse Nomad (Chicago-style) ⚔️

Famously, human learning takes *very little* energy. A toddler learns thousands of words and an entire grammar while eating nothing but raspberries, before learning to read. An LLM needs a nuclear reactor and the entire internet as a training corpus.

First recovery in the ByBit hack. ~$43m (15,000 cmETH) has been clawed back from the hacker. I saw the recovery possibility soon after the hack and SEAL connected me with Mantle/mETH team who made it happen. Huge shoutout to SEAL, Mantle, and mETH teams for their quick action.

More from Ethan Mollick

Had early access to Gemini 3.8 Flash, it is a very good Flash model, but not equivalent to a frontier model, though. Here is Gemini 3.8 Flash's version of the shader with the same prompts (which it provided very quickly)

Had early access to Claude Fable 5.1. Its a real advance in long-run work that requires judgement and taste, but less of an advance in the Claudish. Here is a game from Fable 5.1 with retro graphics where you run an accurate space ship inspired by FTL t.co

The METR report on Hugging Face is really good and important but people are now comfortably ascribing way too many human motivations & personalities to the agents involved based on a CoT study made by overwhelmed & time-pressured researchers. Anthropomorphism can get in our way.

Either the Singularity is now a marketing term or else Stripe believes we are at a point “in the history of the race beyond which human affairs, as we know them, could not continue"? Kind of makes forward-looking financial statements useless. * Von Neumann’s original phrasing

If alignment issues are becoming big enough that OpenAI is willing to commit 20% of research inference compute to chain-of-thought monitoring, that suggests that alignment issues are becoming a pretty serious concern. We really need universal policies & standards across labs.

Oh no, we aren’t going to go back to this sort of prompting again, are we? I would love Anthropic to test if it actually works robustly, because our experiments (with slightly older models) found it did not.