Pedro Domingos

Professor Emeritus, University of Washington · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

academicscientistauthorexecutive@pmddomingos ↗homes.cs.washington.edu/~pedrod ↗Wikipedia ↗

Pedro Domingos is an artificial intelligence researcher known for introducing Markov logic networks and authoring The Master Algorithm. He co-founded the International Machine Learning Society and previously served as the Head of Machine Learning at D. E. Shaw & Co.

51statements → 33claims → 13claims resolved → 77%fully supported → 3.67/5average certainty → 2.24/5average debate potential → ≈4.5/5argument clarity, estimated →

10 supported 2 partly supported 1 contradicted 2 not yet assessed 18 not checkable as stated how the 33 claims stand · each chip opens the sources

16 predictions · 17 assertions · 2 opinions · 16 insights · every statement was checked. The predictions and assertions are the 33 claims: statements the public record can support or contradict. 13 are resolved, 2 are not yet assessed, and 18 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Pedro argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported

Domingos: Some Hedge Funds Are Completely Run by Machine Learning

“So for example, these days there are hedge funds that are completely run by machine learning algorithms for the most part, you know, hedge fund will use machine learning as one of its inputs. But there are some where the machine learning algorithms, they look …”

Pedro Domingos Aug 30, 2016 ▶ 4:03 #13 Pedro Domingos: The Rise of The Machines

Their most notable contradicted claim

Assertion Contradicted

Domingos: Machine Learning Algorithms Typically Outperform Human Doctors in Medical Diagnosis

“Machines are remarkably better than human doctors at doing all types of medical diagnosis, not just from x-rays, but from, you know, symptoms, right? You have a patient, you have their symptoms, what is the diagnosis? And even very simple machine learning algo…”

Pedro Domingos Aug 30, 2016 ▶ 24:33 #13 Pedro Domingos: The Rise of The Machines

Expressed certainty vs assessment result

none yet certainty 1

none yet certainty 2

100% certainty 3

83% certainty 4

none yet certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

How they sound: not measured why? →

We measure speaking style by listening to the audio itself, and a fair number needs at least 2,000 words from one person on tape we have measured. There is too little of Pedro Domingos on measured tape to publish a rate. This says nothing about how they speak.

What they said51 Episodes1

Everything Pedro Domingos said on the Knowledge Project that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Supported

Domingos: AlphaGo Combined Classical AI Search With Deep Learning Neural Networks

“And so what DeepMind did with AlphaGo was to actually combine some of the classic AI, you know, game search with deep learning, with this type of you know, neural network approach to do the evaluation.”

Pedro Domingos Aug 30, 2016 ▶ 46:56 #13 Pedro Domingos: The Rise of The Machines

Assertion Supported

Domingos: AlphaGo Trained on 30 Million Human Moves Before Self-Play

“So AlphaGo, the first thing that AlphaGo did was it learned from all the existing, the entire existing database of Go matches played by human masters. That was the first thing it did was learn from those, right? Thirty million moves or something like that is t…”

Pedro Domingos Aug 30, 2016 ▶ 47:47 #13 Pedro Domingos: The Rise of The Machines

Assertion Supported

Domingos: AI Self-Play Dates Back to Arthur Samuel's 1950s Checkers System

“This is actually a very, very old idea in machine learning. It's one of the oldest ideas. It goes all the way back to the fifties. And this researcher at IBM called Arthur Samuel, who actually wrote the first machine learning system to learn to play a game. An…”

Pedro Domingos Aug 30, 2016 ▶ 48:13 #13 Pedro Domingos: The Rise of The Machines

Appearances (1)

Episode	Date	Speaking time
#13 Pedro Domingos: The Rise of The Machines	Aug 30, 2016	46m

Pedro Domingos

The record, in short

Their most notable supported claim

Their most notable contradicted claim

Expressed certainty vs assessment result

How they sound: not measured why? →

Appearances (1)

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