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Cameron Schuler

Executive Director, Amii · 1 appearance on the record.

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

13statements → 12claims → 3claims resolved → 100%fully supported → 3.69/5average certainty → 2.38/5average debate potential →

3 supported 0 partly supported 0 contradicted 9 not checkable as stated how the 12 claims stand · each chip opens the sources

5 predictions · 7 assertions · 1 opinion · every statement was checked. The predictions and assertions are the 12 claims: statements the public record can support or contradict. 3 are resolved, and 9 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 Cameron 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
Schuler: 45% of citations in DeepMind's AlphaGo paper were from U of Alberta
“AlphaGo, I think it was roughly 45% of the research cited on their AlphaGo paper came from the University of Alberta.”
Cameron Schuler Jan 2, 2019 ▶ 1:51 a16z Podcast | Machine Intelligence, from University to Industry

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
100% certainty 3
100% 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: speaking style how? →

281 words/min while actually speaking · 5.7 um and uh per 1k words

No argument clarity score for Cameron Schuler: no usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to 4,208 words across 1 episode, but every recording we have of Cameron Schuler is the aired feed, and an editor cleaned that audio before release. Some of the hesitation was cut before we ever heard it, so read these as floors: the true rates are at least this high. These are measurements of speaking style, not scores. How it's measured →

Everything Cameron Schuler said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Prediction Not checkable as stated
Schuler: Poaching academic AI talent risks leaving no experts to train students
“I think there's a huge problem where there's a lot of risk that to get the people that can solve the difficult problems, there won't be anyone to train them.”
Cameron Schuler Jan 2, 2019 ▶ 10:29 a16z Podcast | Machine Intelligence, from University to Industry
Assertion Not checkable as stated
Schuler: Aside from tech giants, major corporations lack an AI strategy
“Pretty much everyone has missed the boat on an AI strat, like everybody. There's a handful of companies, Google, Microsoft, Facebook that are doing it, but Everybody, I mean, I talk to companies with 15, twenty billion in revenue, they go, we don't have an AI …”
Cameron Schuler Jan 2, 2019 ▶ 20:38 a16z Podcast | Machine Intelligence, from University to Industry
Assertion Supported
Schuler: 45% of citations in DeepMind's AlphaGo paper were from U of Alberta
“AlphaGo, I think it was roughly 45% of the research cited on their AlphaGo paper came from the University of Alberta.”
Cameron Schuler Jan 2, 2019 ▶ 1:51 a16z Podcast | Machine Intelligence, from University to Industry
Assertion Not checkable as stated
Schuler: U of Alberta AI algorithms run four times faster than DeepMind's
“We're actually meeting some of the deep mind algorithms that they have right now. We're roughly four times faster, I believe.”
Cameron Schuler Jan 2, 2019 ▶ 4:18 a16z Podcast | Machine Intelligence, from University to Industry
Prediction Not checkable as stated
Schuler: Google will eventually be disrupted in advertising
“From my perspective, their risk is, 80% of the revenue is generated by advertising. They are going to get disrupted in that at some point.”
Cameron Schuler Jan 2, 2019 ▶ 10:06 a16z Podcast | Machine Intelligence, from University to Industry
Opinion
Schuler: Gaming companies like Electronic Arts could win in AI
“I think the people who could really win at AI are the games companies, the electronic arts and groups like that.”
Cameron Schuler Jan 2, 2019 ▶ 11:26 a16z Podcast | Machine Intelligence, from University to Industry
Prediction Not checkable as stated
Schuler: Genetic algorithms will never succeed in capital markets
“If you take a look at capital markets, the domain space is, I mean, the dimensionality of data is so huge that a genetic algorithm is never going to get there.”
Cameron Schuler Jan 2, 2019 ▶ 23:46 a16z Podcast | Machine Intelligence, from University to Industry
Prediction Not checkable as stated
Schuler: Superintelligent AI will not arrive within his lifetime
“I, you know, in my lifetime, and I hopefully am Somewhere around halfway through it. I don't think that we'll, we'll get there”
Cameron Schuler Jan 2, 2019 ▶ 25:40 a16z Podcast | Machine Intelligence, from University to Industry
Assertion Supported
Schuler: Yoshua Bengio deliberately chose to remain in academia over industry
“There's another Canadian professor named Yoshua Bengio at University of Montreal, who's consciously decided not to leave for this, for that very reason.”
Cameron Schuler Jan 2, 2019 ▶ 9:18 a16z Podcast | Machine Intelligence, from University to Industry
Assertion Supported
Schuler: Rich Sutton's textbook is computer science's most influential publication
“According to the Alan Soufre AI Semantics Scholar, he's the most highly cited researcher in reinforcement learning, 11th most influential researcher in all of competing science. And his textbook on reinforcement learning was ranked as the single most influenti…”
Cameron Schuler Jan 2, 2019 ▶ 16:26 a16z Podcast | Machine Intelligence, from University to Industry
Assertion Not checkable as stated
Schuler: Distributed computing enabled practical deep learning applications
“So the industrial project, even in capital markets, a lot of stuff we've done, you could have done 20, 25 years ago, deep learning, right? It was really distributed computing that made the big difference in that.”
Cameron Schuler Jan 2, 2019 ▶ 18:29 a16z Podcast | Machine Intelligence, from University to Industry
Prediction Not checkable as stated
Schuler: Heavy backend AI processing won't work for mobile-first markets
“The way I see the world moving certainly is more mobile, and if you are relying on some big back end where it has a lot of processing power, it's not going to work, so it's really about training systems and bringing them into mobile and things like that, espec…”
Cameron Schuler Jan 2, 2019 ▶ 23:58 a16z Podcast | Machine Intelligence, from University to Industry
Assertion Not checkable as stated
Schuler: 20-25% of DeepMind staff at acquisition were University of Alberta students
“When DeepMind got bought, half the people there were actually Canadian-trained, and roughly 20 or 25% were our students.”
Cameron Schuler Jan 2, 2019 ▶ 1:41 a16z Podcast | Machine Intelligence, from University to Industry

Appearances (1)

EpisodeDateSpeaking time
a16z Podcast | Machine Intelligence, from University to Industry Jan 2, 2019 16m
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