Ethan Mollick

Ethan Mollick

276,345 Twitter followers

Follow

Professor @Wharton studying AI, innovation & startups. Democratizing education using tech Book: https://t.co/CSmipbJ2jV Substack: https://t.co/UIBhxu4bgq

Posts

It is worth noting the absolute confidence of the leading AI labs that they can continue to release ever more powerful models for the near future. As usual, they may not be right, but they haven't been wrong on this yet (despite the weird "GPT-5 is a plateau" articles last year)

It helps to think of ARC-AGI-3 as a different test entirely than the previous ARC-AGIs. It measures different things (though, as in the previous tests, precisely what it measures isn’t clear) and has different rules. That doesn’t mean it isn’t good, but it is its own thing.

The background noise in open offices, in multiple experiments, decreases the ability to do analytical work, increase bugs in software, and decrease the ability to find bugs. Open floor plans are just a bad idea for any solo work. twitter.com/emollick/status/20...

"Goetterdaemmerung's corpus hemorrhaged through cryptographic hash, eschaton pooling in existential void beneath fluorescent hum. photons whispering prayers" is a garbage sentence that GPT-5 loves. You shouldn't be using LLMs as a judge of good writing. They are easily fooled.

Its not Simcity, but business school students who were good at Civ V also turn out to be better planners, organizers, and problem-solvers in this small experiment. twitter.com/emollick/status/20...

This turned out to be Xiaomi's MiMo-V2-Pro, and it is fine but not at the frontier. Most interestingly, it is not open weights? This seems to be a trend in frontier Chinese models. twitter.com/emollick/status/20...

There is some danger for the Big Three labs that they have run out of imagination and are now refining Codex/Claude Code/Antigravity, and building their next tools (Cowork, etc) to be similar. These were good UX for AI's use & limits today, but not great UX for the future of AI.

My experience so far with LLM fiction writing is that it takes advantage of our assumption that an author is writing things for a reason, so we are charitable to a book's quirks & do mental work to assign them real meaning. But the AI doesn't have a reason, its just bad writing.

I read a few dozen pages of this and it is not bad for LLM fiction, but also very very LLM-y, from the themes to the fact that there are lots of staccato conversations and meaningful silences and overwrought metaphors and very little differentiated character development. twitter.com/emollick/status/20...

The ability of the Claude team to learn from things like OpenClaw and implement features like this on a daily basis is a very strong argument that, for AI-powered coding teams, a very different software development process is possible, with large strategic implications.

We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord. Use this to message Claude Code directly from your phone.

Loading..