computer science
DisciplineWikipedia
332
MENTIONS
91
EPISODES
83
PODCASTS
Search complete. 332 mentions across 91 episodes found for "computer science".
Sep 11, 2026
“How a cold email got the Finnish government to respond on superintelligence regulation” by Josh Thorsteinson
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2:54Type Three AudioNARRATOR
I'm not an expert and I'm not Finnish.
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2:56Type Three AudioNARRATOR
I'm a 24-year-old Canadian who learned about the threat of extinction from AI in late 2022, switched majors at UBC, in Vancouver, from psychology to C.S.
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3:06Type Three AudioNARRATOR
Psychology of Philosophy.
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3:08Type Three AudioNARRATOR
started and led a university AI safety group for two years, did some research on how an AI pause could work, then started making videos about AI danger.
Schools are catching onto tech’s playbook
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0:06Lauren FeinerHOST
I'm Lauren Feiner, the Verge's senior policy reporter.
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0:09Lauren FeinerHOST
Code.org was the splashy nonprofit that led a massive celebrity-laden campaign in the twenty tens for kids across the U.S. to learn computer science and gain skills they needed for the workforce.
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0:20Lauren FeinerHOST
But at the same time, there was a modest group of academics seeking to introduce a new type of computer science course into schools.
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0:26Lauren FeinerHOST
They had a goal of expanding the kinds of students who entered the field.
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0:29Lauren FeinerHOST
In a new book, Coding Kids, New York Times education technology reporter Natasha Singer charts the path of both of these efforts and explains how a tech industry-created computer science curriculum became commonplace in many schools, and what that means now that those same companies are laying off engineers and prioritizing different skills in the AI era.
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0:49Lauren FeinerHOST
I wanted to hear more from Natasha about what she's observed over the years covering tech's immersion into public schools, and whether school districts are prepared for industry efforts to replicate the success for AI.
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1:01Lauren FeinerHOST
But first, here's what's happening on The Verge today.
9 MINS LATER
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9:51Natasha SingerGUEST
Look at all these billionaires who started these companies.
Book Review: Building Ontologies with Basic Formal Ontology
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18:57speaker_2HOST
An Aristotelian definition requires a very specific syntax.
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19:01speaker_2HOST
It goes, an A is a B that's CS.
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19:03speaker_1HOST
An A is a B that's CS.
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19:04speaker_2HOST
Right.
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19:05speaker_2HOST
The A is a specific term you are defining.
Inside Flint: Co-Founder Michelle Lim on AI agents running performance marketing
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2:52Michelle LimGUEST
The country's really good at math, and we are very rigorous, very good at the sciences.
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2:58Michelle LimGUEST
So there is a really strong culture, but, like, computer science was not taught in high school.
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3:03Michelle LimGUEST
So, like, if you're good in math and science, you end up, like, being a doctor.
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3:07Michelle LimGUEST
I...
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3:38Michelle LimGUEST
I saw this music video that was filmed like a musical where I just like walk through all the fun things that everybody was doing.
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3:43Michelle LimGUEST
And I was like, well, you know, my heart is really calling for doing something fun and expanding my horizons.
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3:50Michelle LimGUEST
And it was only at Yale that I realized I liked entrepreneurship and that I liked computer science.
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3:56MayaHOST
So at Yale, did you know you wanted to be a founder or was it like a class that you took that interested you?
From Pixels to Pathology: Professor Nasir Rajpoot and the Story of the TIA Centre - Episode 1
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0:26Sidney Ocanagil-TunstallHOST
Hello, and welcome to Pathology News.
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0:28Sidney Ocanagil-TunstallHOST
Today, we're back with the Tissue Image Analytics Center, um, within the Computer Science department within the University of Warwick.
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0:38Sidney Ocanagil-TunstallHOST
And today's session is going to be more than what we usually do in our Thought Leaders podcasts.
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0:42Sidney Ocanagil-TunstallHOST
Today, we have a guest who started working with pathology images long before digital pathology had become a thing, um, and, you know, before we had fancy scanners and AI image analysis tools that we have today.
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1:45Sidney Ocanagil-TunstallHOST
Mm
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1:45Nasir RajpootGUEST
...
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1:45Nasir RajpootGUEST
in the kind of mid-'90s, and then, um, came over to Warwick in '97 to do my PhD in computer science.
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1:52Sidney Ocanagil-TunstallHOST
Mm-hmm.
Build the Fort: From Pioneering Digital Maps to Startup Communities w/ Chris Heivly, MapQuest Co-Founder, Author & Startup Community Builder
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0:37Ian HathawayHOST
Today's guest is Chris Hively, entrepreneur, investor, author, startup community builder, and a pioneer in digital mapping.
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0:45Ian HathawayHOST
Chris studied geography at a time when his own father wondered what he could possibly do with it, combined it with computer science, and went from making maps for the US State Department to a printing company in Lancaster, Pennsylvania, where he was hired to computerize a business that had been drawing maps by hand for decades.
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1:03Ian HathawayHOST
Out of that work came MapQuest, the first major commercial web mapping service.
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1:07Ian HathawayHOST
Chris stepped away just as the online mapping world took off, and what came next was anything but a straight line.
7 MINS LATER
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8:00Ian HathawayHOST
You discover geography, and you tell your dad that you're gonna major in it.
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8:04Ian HathawayHOST
He says something along the lines of, "What the hell are you gonna do with that, son? Why don't you study computers or something like that?" But your response was something along the lines of, "I don't know what I'm gonna do, Dad, but I love doing this, so I'm gonna stick with it." At the same time, you have a college professor who maybe takes a different approach, and rather than telling you to give up geography, the thing you love, he suggests you bring computers into it.
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8:28Ian HathawayHOST
So you end up studying computer science as well as geography.
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8:33Ian HathawayHOST
I have to imagine that was a pretty rare thing back then, let alone now.
"Human in the Loop" Might Be the Worst Way to Use AI, with Vivienne Ming
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52:30Vivienne MingGUEST
We flipped the whole recruiting concept from apply and we assess you to we assess you and then we recommend to Google these people and for Kohl's department stores these people because why would you compete? Why would I recommend the same people to the same company? So what did we find was predictive? If the only thing I know about you was your university, of course it predicts something.
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52:54Vivienne MingGUEST
But interestingly enough, The most elite, like a Bachelor of Computer Science from Stanford, a positive predictor if I wanted to hire you as a software developer.
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53:06Vivienne MingGUEST
Turns out resilience was more predictive of quality of code than a Bachelor of Computer Science from Stanford.
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53:14Vivienne MingGUEST
Now, almost certainly, if you went to Stanford, you're probably at least a little resilient.
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53:18Vivienne MingGUEST
And if you're resilient, maybe you went to an elite school.
Arda Genç - Co-Founder and CEO - LIVAD Technologies
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0:08Dylan ConroyHOST
My guest is Arda Gench, the co-founder and CEO of LiveAd Technologies.
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0:14Dylan ConroyHOST
Arda is a tech entrepreneur and product strategist who studied computer science at Northwestern before founding LiveAd to solve one of the hardest problems in modern media.
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0:24Dylan ConroyHOST
How do you monetize live streaming without ruining the user experience? LiveAds ad tech platform enables live streamers and creators across platforms like Twitch, Kik, and YouTube to run non-intrusive interactive overlay ads and live brand integrations in real time.
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0:41Dylan ConroyHOST
Having executed massive campaigns for global brands like the Walt Disney Company, McDonald's, Adidas, and Vodafone, Arda sits right at the intersection of streaming ad tech, Gen Z media habits, and the creator economy.
Langdon Winner - Do Artifacts Have Politics?
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0:25HannaHOST
And this is Hannah.
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0:27FelienneHOST
And this is another episode of Computer Science, of course.
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0:34HannaHOST
Computer Science, of course.
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0:36HannaHOST
Computer Science, of course.
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0:38HannaHOST
This is Computer Science, of course.
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0:42HannaHOST
Of course.
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0:43HannaHOST
Hello,
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2:51HannaHOST
No, to us, it might not be provocative.
Downstream: The Big AI Lie w/ Cory Doctorow
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9:09Cory DoctorowGUEST
You also have a unique characteristic of computers, which is that the only kind of computer we know how to build is something that's formally called the Turing-complete universal von Neumann machine.
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9:18Cory DoctorowGUEST
A lot of CS jargon, but what it means is that every computer can run every program, which means that every insidificatory gambit assayed by a firm invites a disinsidifying program that can be costlessly, instantaneously distributed to everyone who's affected by it.
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9:34Cory DoctorowGUEST
So, you know, you put more ads in the platform, someone makes an ad blocker.
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9:38Cory DoctorowGUEST
And it was the advent of what's called an anti-circumvention law that I think we'll probably get back to in this interview, which is a law that prohibits modifying technology with the manufacturer's permission that choked off that new market entry.
16 MINS LATER
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26:10Cory DoctorowGUEST
It's actually quite exciting.
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26:12Cory DoctorowGUEST
From a computer science perspective, I'm a fake computer science professor.
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26:16Cory DoctorowGUEST
I have an honorary doctorate from the Open University in CS, and I'm on their faculty in the computer science program there.
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26:22Cory DoctorowGUEST
And so from a computer science perspective, this is cool.
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