Skip to content

Person

Ethan Mollick

Ethan Mollick is a Wharton professor studying innovation and entrepreneurship, known as a public commentator on AI, coining the "jagged frontier" idea.

Known aliases

  • E. Mollick

Current stories

buildConfirmed13 publishers

Anthropic's Fable 5.1 moves the hard part from prompting to bounding what it may do

The Neuron gave it a browser, a Mac, a broken Blender install and an hour. What changed was how rarely it stopped to ask permission, which makes the next piece of work a harness problem rather than a prompt problem.

Perspective Coverage

13 publishers
Builder
Builder 46%
Operator
Operator 32%
Investor
Investor 22%

Reality

Evidence40
Adoption30
Hype gap+25
Incentives60
Confidence55
buildOne report1 publisher

Fal reached continuous video generation by tuning inference on someone else's model

AINews reports that fal post-trained Minimax's H3 and served it 35x faster than the official endpoint. Twitch and YouTube removed the resulting live stream immediately, so fal stood up its own player instead.

Publishers:latent.space

Reality

Evidence22
Adoption15
Hype gap+55
Incentives72
Confidence34
leadershipOne report1 publisher

The AI Stack Isn't Finished, So Stop Building as Though It Is

Adoption has outrun the personal computer and the internet, yet the technological and institutional foundation stays unsettled. The move is to buy optionality, not lock in architecture.

Reality

Evidence42
Adoption58
Hype gap+8
Incentives40
Confidence45
productOne report1 publisher

OpenAI's plan to hand everyone a coding agent leaves the hard part to the model

Thibault Sottiaux says ChatGPT Work packages Codex for non-engineers at $20 a month. The interview's own two billed themes, discovery and the cost of intelligence, come out unanswered.

Publishers:techcrunch.com

Reality

Evidence28
Adoption38
Hype gap+38
Incentives82
Confidence46
investOne report1 publisher

Acemoglu rejects both AI camps, and calls fear the costlier error

The MIT economist told Fortune that AI is neither a stochastic parrot nor a guaranteed win, and that adoption evidence outside coding is thin. Both halves bear on how you size spending.

Publishers:fortune.com

Reality

Evidence52
Adoption
Not scored
Hype gap−8
Incentives55
Confidence44