The New York Times, every mention
45 scenes · ← back to The New York Times
tap a year for its mentions
every year anyone Matt Turck 40Chris Wiggins 8Gary Marcus 7Satyen Sangani 2Serkan Piantino 1Sean Gourley 1Nick Rockwell 1Neil Capel 1Max Shron 1Matthew Prince 1
Verbatim, from the transcripts: the passages where The New York Times comes up
Cloudflare CEO: The Internet's Business Model Is Dead
- ▶ 1:27:00 Matthew Prince And, okay, I like the New York Times.
Benedict Evans: OpenAI’s Moat Problem & the Future of Software
- ▶ 23:40 Benedict Evans In fact, I found this wonderful quote from the New York Times from 1980, talking about VisiCalc and spreadsheets, and this, this, this guy says, of course, it was a guy who says, well, I used to code DCF models in machine code, and it…
How Intercom transitioned to being AI-first | Des Traynor, Co-Founder of Intercom
- ▶ 55:26 Des Traynor If it was just about fame, we would have quit when we got our first bit of coverage in, like, the New York Times or some shit like that.
A Conversation with Chris Wiggins - Author of "How Data Happened"
- ▶ 0:59 Matt Turck Maybe towards the end, we'll talk about the New York Times and data science and machine learning at the New York Times, but we're going to spend most of the time 2 times in the scene
- ▶ 16:43 Matt Turck Uh, I'd love to use the last few minutes to, um, zoom out and talk about the New York Times. 4 times in the scene
- ▶ 18:28 Matt Turck Um, LLMs, is that something that you guys at the New York Times think about, or use, or plan on using? 6 times in the scene
- ▶ 21:45 unnamed speaker Um, wondering if you can comment a little bit on, um, your strategy for enabling, uh, language models to use, uh, New York Times articles as training data and how an IP, uh, or creative IP, um, owner protects, uh, its IP, particularly… 4 times in the scene
LLM Powered Search | Vectara Founder & CEO, Amr Awadallah
- ▶ 12:43 Amr Awadallah But you know, most media outlets like Wall Street, John, and New York Times, the reporters, when they finish writing an article, they still have to go to a fact checker that's actually a fact in the article they've written because…
Fireside Chat Part II: Ben Horowitz (a16z) on Culture with Matt Turck (FirstMark) at Data Driven NYC
- ▶ 13:06 Ben Horowitz So do you remember the Amazon article in the New York Times where they basically said Amazon's like the worst place to work in the world.
Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
- ▶ 0:08 Gary Marcus Some of you might have seen an op-ed that I had Saturday in the New York Times.
- ▶ 27:46 Gary Marcus So like an example we had in, in the Times the other day, um, was a cheese grater.
Fireside Chat: Nick Rockwell, CTO of The New York Times (FirstMark's Data Driven NYC)
- ▶ 0:10 Matt Turck Uh, you are the CTO of the New York Times. 7 times in the scene
- ▶ 4:07 unnamed speaker The morgue is what makes the times the times. 7 times in the scene
- ▶ 13:19 Matt Turck So that's actually a perfect, um, segue into talking about the, uh, this infrastructure at the, at the New York Times that you, that you oversee. 2 times in the scene
- ▶ 24:50 Nick Rockwell And it was only after we'd been doing this for a while that we were kind of like, oh, surprise, surprise, we're all software engineers, this looks a lot like a software development process, you know.
Make AI Less Mysterious // Serkan Piantino, Spell (FirstMark's Data Driven)
- ▶ 5:34 Serkan Piantino And I present as evidence this article in last week's New York Times about AI researchers making more than a million, a million dollars a year at non-profits.
Fireside Chat: Roger Ehrenberg, Managing Partner at IA Ventures (FirstMark's Data Driven)
- ▶ 0:22 Matt Turck You were recently named to the Midas list, uh, the Forbes Midas list of the top, uh, 100, uh, VCs, and also the New York Times list, also the 100 VCs, so.
Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
- ▶ 3:09 Amanda Stent At around 10 39 was the New York Times story.
Fake News, Alternative Facts and the Enterprise // Satyen Sangani, Alation (FirstMark's Data Driven)
- ▶ 3:58 Satyen Sangani You had New York Times. 2 times in the scene
Using AI to Predict the Performance of Text // Kieran Snyder, Textio (Data Driven NYC / FirstMark)
- ▶ 15:50 Kieran Snyder I don't know how many of you saw the piece in the New York Times on Monday about gender bias and presidential candidate language?
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 0:33 Matt Turck And just this week, the New York Times, in collaboration with our
Can A.I. Become More Human? // Gary Marcus, Geometric Intelligence (Hosted by FirstMark Capital)
- ▶ 0:15 Gary Marcus There, there are front page stories about AI in the New York Times all the time.
- ▶ 6:24 Gary Marcus Um, it was most emailed the New York Times with Ernie Davis. 2 times in the scene
- ▶ 8:12 Gary Marcus So you, this paper, um, got reported in the New York Times, and it's a paper written by Google.
- ▶ 12:59 Gary Marcus They, um, this was in the Times a couple days ago.
Lukas Biewald, CrowdFlower // Enriching Your Data (Hosted by FirstMark Capital)
- ▶ 5:07 Lukas Biewald And so then you see, like, all these, you know, New York Times articles, and we find this too, where it's like, you know, okay, data scientists spend most of their time, you know, cleaning data, and some people say they spend the rest of…
Anand Sanwal, CB Insights // What's Next? (Hosted by FirstMark Capital)
- ▶ 3:27 Anand Sanwal So a couple of, last week we worked with the New York Times on trying to predict
Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
- ▶ 2:36 Jake Porway As a data scientist myself, I came out of the New York Times R&D lab.
Bob Muglia, Snowflake // Navigating The Cloud (Hosted by FirstMark Capital)
- ▶ 1:54 Bob Muglia Companies like the New York Times, NASDAQ, Condé Nast, all have had successful projects rolling out public cloud environments, and we see a great deal of openness, um, in more and more organizations.
Chris Wiggins, NY Times // Data Science at The New York Times (Hosted by FirstMark Capital)
- ▶ 0:00 Matt Turck Alright, to close the event, Chris Wiggins from the New York Times. 5 times in the scene
- ▶ 4:46 Chris Wiggins So, like, the, the task of working in computational biology, if you really do work with biologists, which I always try to do, was a lot like the experience that I have at the New York Times, working now with people in marketing, product,… 3 times in the scene
- ▶ 5:42 Matt Turck And, and, and do you find a little bit to this point about, ah, being able to work with other people, that, that, do you find that the, or did you find that the people in the New York Times, maybe not the top people that made the decision,… 5 times in the scene
- ▶ 9:00 Chris Wiggins So, I like to think about the New York Times or any technology company now as church, state, and engineering, and I'm in the engineering layer, which is, ah, ah, you know, we're a technology function, which means we're, we're empowering… 2 times in the scene
- ▶ 13:04 Matt Turck That the New York Times probably, in terms of editorial and content, doesn't work like BuzzFeed, um, or, or Upworthy, ah, but what's the, and, and, and I'm saying this actually, not so jokingly, I think, I think, I think BuzzFeed basically… 6 times in the scene
- ▶ 17:48 Chris Wiggins Yeah, so that's another reason why Mark Hansen encouraged me to go to the New York Times is because the data engineering side had, um, or the data engineering group had just completed building a, a, a whole bespoke tracking system to…
- ▶ 22:20 Chris Wiggins So, for example, at the New York Times, there are strong values of news judgment, and news, and, and the people who speak about news judgment and, and guide, use it as the guide in their decisions are the people in the newsroom, right?
- ▶ 26:11 Chris Wiggins Like, do you have enough, like, critical literacy should be the ability to have somebody say, oh, I used machine learning to make the New York Times today, and all of the reporters have been put to sleep, you know, and you'd be like, no,…
Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
- ▶ 8:17 Sean Gourley And so when you open up New York Times on your iPhone, it takes about 800 milliseconds to load that.
Fred Wilson, USV // Data Driven NYC #18 // Sep 2013 (interviewed by Matt Turck)
- ▶ 39:15 Margaret Oest Front page of the Times.
Vaclav Petricek, eHarmony // Data Driven NYC 19 // October 2013
- ▶ 23:55 Andy Beveridge In fact, there was an article today in the Times about ratings from universities, and the, and the, the person, I can't remember her name right now, who's the leading person who studies this was arguing that you can't really use the…
Panel Discussion // Data Driven #16 // May 2013
- ▶ 10:16 Max Shron Public transit cuts in Chicago, sort of looking at the, the spread of access in different neighborhoods before and after, and trying to relate it to race and class and other things like that, and that got picked up by the New York Times,…
- ▶ 44:12 Drew Conway Yeah, so Andrews is, Andrews, yeah, exactly, so he's the, yeah, so all, all those folks, I mean, everybody in that office is doing a tremendous amount of really interesting work, and I would, you know, the New York Times wrote an article…
Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
- ▶ 13:05 Neil Capel Ah, I think there was a recent article in the New York Times about, you know,
Matt Turck, Bloomberg Ventures // Data Driven NYC# 3 // Feb 2012
- ▶ 10:31 Matt Turck You know, the New York Times, the Forbes, all those sort of generic, um, general, you know, high-quality publications do for us is that they essentially evangelize, um, you know, the importance of, of data, and that will enable us, you…
Hilary Mason, Bitly // Data Driven NYC #3 // Feb 2012
- ▶ 14:30 Hilary Mason So we built a graph of the top 20 news sources in the U.S. and people who read the New York Times read real clear politics.