The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
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every show 44 of 44
Krishnan: No successful company was ever built using 'Jobs to Be Done'
“I think no successful company has ever been built on top of JDBD. And if you pick JDBD, you're probably doomed.”
Krishnan: Passing SB 1047 Would Have Ended American Open-Source AI
“You know, like until last a year and a half ago, I was in California, along with all of you, California almost passed SB, which if that had happened, it would have been the end of open source, by the way, in the United States, we would not have a Lama. We woul…”
Krishnan: Biden Administration Attempted to Demonize and Ban Open-Source AI
“The Biden administration really, really tried to scare people about open source, talk about how unsafe it was. SB. And obviously tried to kind of basically ban it in many ways.”
Krishnan: Biden AI Policy Sought Centralized Control Across Four Companies
“One, very fundamental difference I think we have with the Biden administration is the Biden team really looked at AI as something to be centralized and controlled. Everything was about how do we make sure that we regulate these three or four companies and only…”
Krishnan: Climate Lobbyists and Doomers Blocked US Nuclear Development for Decades
“Nuclear, that's another case where I think for decades and decades, the climate lobby and the doomers that kind of stop any real efforts over there.”
Krishnan: Biden Diffusion Rule Effectively Banned US GPU Exports to Allies
“Under the Biden era, there was something called the Biden diffusion rule, which basically was a 200 page document, which basically made it illegal for America to export GPUs. It was really hard for you know, if you're Jensen or if you're Lisa Su to really kind…”
Krishnan: Senior Global Officials Lacked Basic Competence in AI Policy
“A lot of people who are in very senior roles in governments in the United States back then and other parts of the world didn't know what they were talking about when it came to AI. I was convinced that they were doing the absolute wrong thing on many topics, f…”
Krishnan: America Currently Holds Only a Very Small Lead in AI
“It told us that America doesn't have a huge lead. On AI. It actually has a very, very small lead.”
Krishnan: Chinese Models DeepSeek and Qwen Are the Best Open Source
“I think to even today, I would probably say the Chinese models, Deepsea, Quan are the best open source models”
Krishnan: Measure AI Dominance by American Hardware and Model Inference Share
“And one of the measures I've been thinking about is let's say the world inferences, I don't know, maybe it's called 10 quadrillion tokens a month. We don't know what the number is, right? What share of those tokens are being inferenced on American hardware on …”
Krishnan: Global Usage of DeepSeek and Qwen Is Geopolitical Soft Power
“When somebody is using DeepSeq or Quinn, that's an expression of soft power.”
Krishnan: Undetectable Backdoors in Coding Assistants Threaten Critical Infrastructure
“Interpretability is still a nascent field and you could very easily see ways where You plug a model into a cursor or windsurf and you generate a piece of code. And then two years down the road, it turns out that code had a little if statement saying, if I'm ru…”
Krishnan: Exporting US GPUs Strongly Incentivizes Allies to Run American Models
“And one of the other things we're doing that is we get our GPUs over, we probably get them to run our models as opposed to models from, you know, another country, and we go from there.”
Krishnan: Robotics Startups Are Heavily Using Distilled DeepSeek and Qwen Models
“When I was talking to a bunch of robotic startups, you're seeing a lot of distilled DeepSeq, a lot of distilled Quen out there.”
Krishnan: Chinese AI Powering Global Devices Will Have Catastrophic Geopolitical Consequences
“There are going to be catastrophic consequences if Chinese models are running on every robot, Every camera, every car, every device around the world.”
Krishnan: Early Twitter failed by not defining its social norms and vibe
“And by the, I think one of the things that Twitter didn't get right in the original days with some of the other apps did, it never told people what kind of party it was. It was like, are we going to Michelin star restaurant where you sit down or it's a sports …”
Krishnan: The algorithmic timeline saved Twitter, despite power users hating it
“The single best product launch for the last five years at Twitter. Was the introduction of the algorithmic ranking algorithmic ranking and it saved the company and power users hated it.”
Krishnan: Twitter Needs Decentralization With Open Protocols and Pluggable Algorithms
“Twitter needs to be decentralized, one, into a protocol so people can use a different client. The second is they can use their algorithms of choice, right?”
Krishnan: AI Leadership Will Create an Accelerating Economic Flywheel Effect
“AI might be the most transformational economic cultural force of our lifetime. And I believe that if the country or the ecosystem Which winds up getting ahead is going to have these cyclic effects, right? Like you're going to, you know, you're going to power p…”
Krishnan: Twitter Algorithms Easily Injected Cultural Bias Into Mainstream News Cycles
“One of the things I saw when I was at Twitter was how easily you could inject cultural bias in your algorithms. I have so many stories about how if you pick the right kind of Twitter accounts, which then feed into the trending algorithm, which then feed into T…”
Krishnan: David Sacks Regularly Explains Deep AI Technical Concepts in White House
“Like you'd be shocked at how often I've seen David Sachs in a meeting explain how inferencing works, you know, what high bandwidth memory is, you know, how the world has shifted from a, you know, pre-training context to a post-training context.”
Krishnan: Independent Open-Source Scrutiny Detects AI Vulnerabilities Better Than Internal Teams
“If you have a model up on hugging face and somebody downloads a final gigabyte file and the thousands of students and researchers just kind of pounding away on that, I think there's a good chance they're going to find issues a lot better than a very small safe…”
Sriram Krishnan Assisted Elon Musk During the Twitter Acquisition Transition
“I was briefly helping Elon at Twitter. I was there on the let it sink in day”
Krishnan: Technology is responsible for most progress over the past 200 years
“Technology is not perfect. You know, the impact technology is definitely uneven, but pretty much most of the good things in the world over the last a 102 hundred years are responsible for it.”
Krishnan disagrees with Naval: Great work at big companies goes unrecognized
“I actually say, I actually disagreed Nawal on this because often When you're in a, when you're part of a large organization, like it's really hard to do great work and get recognized for it.”
Krishnan: Nobody succeeds by fixing weaknesses; success comes from leaning into strengths
“The thing is nobody I know has ever become successful by trying to fix their weaknesses. It's just impossible. The only way you know, you succeed is one, you might need to mitigate some of them, especially if they're really, really holding you back, but you ha…”
Krishnan: Great product breakthroughs come from individual intuition and systems thinking
“Almost always when you get a great product breakthrough like that, it comes from some one person, usually having a product intuition about something about the psychological thing that product delivers and systems thinking. Those are the only two places I've ev…”
Krishnan: Web3 Will Give Social Media Creators Economic Rewards and Governance
“What Web three is doing or could do for Twitter is give, give the people who give value to Twitter two things. One is economics, and the second is governance.”
Krishnan: Venture Capitalists Need Founders More Than Founders Need VCs
“The venture capitalists need you know maybe a lot more than sometimes you need them because the end of the day, you know, we kind of giving away one of the most commodity of products, which is money.”
Krishnan: Single-State Tech Regulations Often Become De Facto National Law
“If you have a small state set rules, It can often become the de facto law for the country, because if you're a company, you're like, well, I have to operate in this state, or I have an office, so let me just do that for everybody. It's kind of just like the EU…”
Krishnan: US AI Dominance Demands Blue-Collar Trade Workers, Not Just Engineers
“America needs not just engineers, but it needs people up and down the stack. It needs electricians, technicians. We need to get construction going and we need to get these jobs and this whole ecosystem back in back in the US.”
Krishnan: Physical AI and Robotics Will Become Critical Within Two Years
“The action plan actually has a section in it of making sure, you know, we are set up For robotics. I think that's obviously that's going to get super key within the next 18 to 24 months.”
Krishnan: Podcasts fail when the primary motivation is just being successful
“I've seen so many podcasts fail and they often fail because somebody wants to get out there and be like, I'm going to make a successful podcast. And I don't think that is a motivation that sustains you or the audience.”
Krishnan: Making Guests Feel Safe Is the Core Goal of Interviewing
“The thing was within instantly you could communicate to the guest was you are going to be okay here with me. When I saw that, right. And I don't want to claim we even get close to any of that, but I was like, this is what our goal is. Like every show, right. I…”
Sriram Krishnan: Podcasts must be built and run like consumer software products
“You actually have to think of it as a product. Who's your market? Who are your customers? What are you building for them? How are you finding them? How are they finding you? How are you getting them? Or are they staying? There's just the basic questions of any…”
Sriram Krishnan: Famous podcast guests drive single-time acquisition, not audience retention
“And often a famous name can help with that, which is you get an Elon Musk, you know, A.R. Rahman, who's huge in India. A lot of people who have told you who you are will find you, right? But that is a one-time value. But how do you retain them? And what we hav…”
Krishnan: Apple Podcasts lacks algorithmic discovery mechanisms, making growth word-of-mouth
“If you look at the native podcast platform, say just Apple, there is no discovery mechanism. There is no algorithm, right? So it's really word of mouth.”
Sriram Krishnan: Social media feeds shifted from follower graphs to AI recommendations
“We've moved from a follower graph to now having AI and recommendations drive so much of what we do.”
Krishnan: Huberman and Lex Fridman built top podcasts without existing audiences
“We look at Huberman, did not have a large audience hotel, came out of nowhere. Be on the top of charts. Lex Friedman came out of nowhere really to build one of the most popular podcasts around.”
Krishnan: Pre-recording an entire podcast season before launching is bad strategy
“I sometimes see podcasters when they do their very first podcast, they record an entire season before launching, and that is bad. Because I think what happens is you're getting no feedback.”
Krishnan: Future media content will feature AI participation percentage labels
“I think sometimes in the future, it's going to be like, that it's going to be just like, you know, when you buy a product from the supermarket, you know, like, you know, what content is going to be like, this is purely human generated. There's only 10% of AI p…”
Krishnan: Creators cannot succeed by copying stars like MrBeast or Rogan
“Everyone trying to be creative, right? They're like, I want to be Rogan, or I want to be Lex, or I want to be Alex Cooper. I want to be, I want to do the next serial, but you can't do that. And not because you're not talented or capable, but you're not them, r…”
Krishnan: Tech workers should use cold DMs and content to advance careers
“I do think a lot of people trying to get, you know, to get ahead in their career, especially in technology should just write cold emails, cold DMS, notes, put out content, et cetera.”
Krishnan: New social networks must target underserved, high-status users
“So you, every single time I think you need to go after a set of people who are high status who are also underserved.”
Krishnan: Tech equalizes because billionaires and everyday users receive identical tools
“Like I suspect the phone that you and I have, it's probably the same phone that I know it's the same phone that, you know, Elon Musk uses the richest person in the world. It's probably the same phone. I know a lot of folks in India who have like very high end …”
Krishnan: Content that seems obvious to peers resonates with wider audiences
“What is obvious to you and may seem cringy to your peers. It's definitely not obvious to a lot of people and they will connect to you. They will relate to you.”
Krishnan: Mark Zuckerberg prefaced every product review with his conviction spectrum
“What he did, which not a lot of other people in his position do is he would tell you what the rules of engagement were for every meeting or invitation. He'd be like, look, I'm going to give you a spectrum of a, how much I care about this topic, everything from…”
Krishnan: High-stakes hero meetings should be replaced with weekly check-ins
“What I hate, I stole this line from Gokul Rajaram is the phrase hero meetings, right? All of us have been this, right? Which is like, there's a big thing. There's a big review. It's Probably a go, no go. Maybe it's career limiting. Maybe it'll get our team fun…”