person

Ethan Mollick

Ethan Mollick is a professor at the Wharton School of the University of Pennsylvania who studies innovation and entrepreneurship and has become a prominent public commentator on artificial intelligence, known for accessible writing and frameworks—such as the "jagged frontier" concept—explaining AI capabilities and limitations for a general audience.

Known aliases

E. Mollick

Relationships

No evidence-backed relationships are recorded.

Current stories

build14 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.

Publishers:archive.thedeepview.comaws.amazon.comblog.vercel.comdev.toeconomictimes.indiatimes.comlatent.spacemezha.netplatform.claude.comruntimewire.comtechspot.comtestingcatalog.comthe-decoder.comtheneuron.aithenewstack.io

Perspective Coverage

14 publishers

Builder: Builder 42%
Operator: Operator 32%
Investor: Investor 26%

Reality

Evidence50
Adoption40
Hype gap+25
Incentives55
Confidence55

build1 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

leadership1 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.

Publishers:sloanreview.mit.edu

Reality

Evidence42
Adoption58
Hype gap+8
Incentives40
Confidence45

product1 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

invest1 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: Insufficient
Hype gap−8
Incentives55
Confidence44