Sean Gourley

Partner, Machine Capital · 3 appearances on the record.

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

founderscientistexecutiveinvestor@sgourley ↗LinkedIn ↗primer.ai ↗

A Rhodes Scholar with an Oxford PhD in physics, Gourley researched complex systems and statistical modeling of modern insurgencies. He later co-founded the augmented intelligence platform Quid as CTO and founded the natural language processing company Primer, serving as CEO until 2023.

33statements → 26claims → 16claims resolved → 56%fully supported → 4.03/5average certainty → 1.79/5average debate potential → 2said about them ↓

9 supported 7 partly supported 0 contradicted 10 not checkable as stated how the 26 claims stand · each chip opens the sources

2 predictions · 24 assertions · 3 insights · 4 disclosures · every statement was checked. The predictions and assertions are the 26 claims: statements the public record can support or contradict. 16 are resolved, and 10 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 Sean 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
Gourley: Information propagation in networks is central to Russian military strategy
“And it's important to know the context of where information came from, because as information is seeded into the networks, it starts to propagate, and this becomes key attack vectors that are actually unfolding, and if you listen to some of the major Russian g…”
Sean Gourley Mar 19, 2019 ▶ 12:41 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
none yet certainty 3
77% certainty 4
100% 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? →

290 words/min while actually speaking · 34.1 um and uh per 1k words

No argument clarity score for Sean Gourley: only 1 usable question→answer exchange 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 the audio itself: 9,228 words across 3 episodes of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Sean Gourley said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Supported
Gourley: Information propagation in networks is central to Russian military strategy
“And it's important to know the context of where information came from, because as information is seeded into the networks, it starts to propagate, and this becomes key attack vectors that are actually unfolding, and if you listen to some of the major Russian g…”
Sean Gourley Mar 19, 2019 ▶ 12:41 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
Assertion Supported
Gourley: Algorithms can briefly wipe $1 trillion from financial markets
“Sometimes the algorithms get together and decide collectively to wipe about a trillion dollars of market capitalization off the global financial markets only to return it about 15 minutes later with nothing really happening in the world around that.”
Sean Gourley Mar 20, 2014 ▶ 3:24 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Sean Gourley: Wikipedia has a massive recall problem despite high precision
“And this is actually not just endemic to Andre, there's nothing particularly about him, but it's actually, Wikipedia has a massive recall problem. We think a lot about its precision, and we measure its precision, but its recall is actually pretty bad when it l…”
Sean Gourley Mar 19, 2019 ▶ 9:00 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
Assertion Not checkable as stated
Gourley: Machine-generated content is becoming indistinguishable from true reality
“And it's important to do this because we're living in a world, which I would term, of the generation age, where it is increasingly cheap and easy to generate a reality that is almost indistinguishable from true reality by machines.”
Sean Gourley Mar 19, 2019 ▶ 11:04 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
Assertion Not checkable as stated
Gourley: Primer cut bank analyst report summary time, saving $6M
“We're able to reduce that down to about 25% of the time. And that nets out at about a six million dollar saving for that bank.”
Sean Gourley Mar 19, 2019 ▶ 14:29 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
Insight
Gourley: Graph joins on Elasticsearch slow text analysis to unusable levels
“If you try and do that on top of, like, an elastic search, you know, your joins that are going to emerge on top of the derived information are going to just slow that thing down to being unusable.”
Sean Gourley Mar 19, 2019 ▶ 16:35 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
Assertion Supported
Firms spent $300M on fiber cables cutting NY-London latency by 5ms
“Ships now laying new fiber optic cables between New York and London to show five milliseconds of round trip time at the cost of three hundred million dollars.”
Sean Gourley Mar 20, 2014 ▶ 2:41 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Assertion Partly supported
A fake AP tweet about White House explosions wiped $200B
“And a fake news report from AP Newswire comes out, says there's a bomb in the White House, and then this happens. The algorithms leave the market because they go, I don't really know what's going on here. I know something to do with the bomb happened, and prob…”
Sean Gourley Mar 20, 2014 ▶ 7:33 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Assertion Partly supported
Sean Gourley: 61% of internet traffic is non-human
“61% of the internet traffic is now non-human. It looks something like this. And it's increasing. Last year it was at 51%.”
Sean Gourley Mar 20, 2014 ▶ 8:48 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Facebook's infrastructure cost $1.20 per user annually versus $13 for Google
“It costs about buck 20 to run a user on Facebook for a year. That'll vary a little bit depending on which country you're in in the world. It costs 12 bucks, 13 dollars, for a user on Google.”
Sean Gourley Mar 20, 2014 ▶ 10:49 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Prediction Not checkable as stated
Gourley predicted consumers would eventually pay subscriptions for algorithmic control
“I think we're going to see subscriptions. I think we're going to see people coming out and saying, you know what, I want a little more control of this algorithm, the information that it gives me, the friends that it chooses.”
Sean Gourley Mar 20, 2014 ▶ 14:02 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Assertion Supported
DARPA and intelligence agencies fund automated narrative manipulation research
“The KGB's just put money into this. IAPA and DARPA have got money going into this stuff.”
Sean Gourley Mar 20, 2014 ▶ 16:25 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Gourley: OpenAI's GPT-2 was not fact-aware
“Some of the colleagues out of OpenAI released GPT-II. That was language generation, but it wasn't fact-aware.”
Sean Gourley Mar 19, 2019 ▶ 4:43 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
Assertion Not checkable as stated
Gourley: Primer headline generator achieves 84% okay-or-better rating versus 87% for humans
“So on humans, we do about 87% are okay or better. At Primer we do about 84% are okay or better.”
Sean Gourley Mar 19, 2019 ▶ 6:55 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
Assertion Not checkable as stated
Gourley: Primer headlines beat human writers 29% of the time in side-by-side tests
“If we do this in a side-by-side comparison we can see around 20, 29 percent of the time primer is better and we can see around 44% of the time on the high-volume model that humans are better.”
Sean Gourley Mar 19, 2019 ▶ 7:05 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
Assertion Partly supported
High-frequency algorithms execute over 60% of US equity trades
“U.S. Equities market of all completed trades is now somewhere north of 60%, done by high frequency algorithms.”
Sean Gourley Mar 20, 2014 ▶ 1:59 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Insight
Gourley: Fast financial algorithms misbehave because speed requires simplicity
“So the algorithms that we've put in place of humans, although quicker, sometimes misbehave because they're not that, that smart, and they're not that smart because they've got to be quick.”
Sean Gourley Mar 20, 2014 ▶ 3:35 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Assertion Supported
Gourley: Knight Capital lost $440M in 45 minutes from a rogue algorithm
“The case in point of Knight Capital a couple of years ago they released an algorithm onto the market. It was never supposed to be on the market. It was an algorithm that was meant for testing. It somehow makes its way off the staging machine and into the real …”
Sean Gourley Mar 20, 2014 ▶ 5:16 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Prediction Held up
Gourley: Algorithms that read the news will inevitably start writing it
“Now, of course, if algorithms can start to read the news, they'll, surely, they'll start writing the news.”
Sean Gourley Mar 20, 2014 ▶ 7:58 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Assertion Partly supported
In 2014, Google generated $30 per user annually versus Facebook's $6
“Google makes about 30 bucks a year per user. Facebook is doing a little bit worse. They're at six dollars per user”
Sean Gourley Mar 20, 2014 ▶ 10:37 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Disclosure
Quid works with PR and government clients to shape narratives
“So we work a lot of PR and marketing Drivequid to kind of shape the stories, and they try and not so much predict what the message is gonna be, but be actually the ones that are making it. And that of course has the government clients doing that stuff as well.”
Sean Gourley Mar 20, 2014 ▶ 21:01 Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
Insight
Gourley: Customers pay for decision insights, not raw data
“The truth is, if you can do that well, and you can give people a better insight to billion dollar decisions, they'll pay a lot of money for it.”
Sean Gourley Dec 5, 2013 ▶ 5:26 "The Business of Data" Panel // October 2011
Disclosure
Gourley: Quid hires string theorists to perform dimensionality reduction
“For us, one of the big problems is dimensionality reduction, and you want to go from a big, complex world to something that's sort of bite-sized and accessible for humans, and so we employ a lot of physicists, and particularly string theorists, because they sp…”
Sean Gourley Dec 5, 2013 ▶ 14:39 "The Business of Data" Panel // October 2011
Disclosure
Gourley: Primer counts GIC, Walmart, and US intelligence agencies as customers
“We've got some major customers that we can talk about, some that we can't but GIC is the biggest sovereign wealth fund out of Singapore. Walmart, obviously half a trillion of revenue, and also through our partnerships within Qtel we're deployed into a large nu…”
Sean Gourley Mar 19, 2019 ▶ 2:12 Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)

Show 9statements(9 left)

The other half of the tape: Sean Gourley's own voice is left out of every number here. Other people bring the name up 2 times in 1 episode on the MAD Podcast. every mention, with the transcript →

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Every mention by year

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Appearances (3)

EpisodeDateSpeaking time
Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven Mar 19, 2019 16m
Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital) Mar 20, 2014 16m
"The Business of Data" Panel // October 2011 Dec 5, 2013 4m
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