Straight Answers

An LLM assessed 1,770 question → answer exchanges, the host's own answers included. Speaker names were hidden during assessment. Each exchange was marked answered, partly, redirected or not addressed, with a quote as its source. Every exchange below is timestamped and plays. How it works →

These readings are observational: the transcript shows whether the question was answered directly, whatever the reason. It is an AI reading of a public exchange, never a claim about intent, and the tape is one tap away on every row. full disclaimer →

7%of assessed questions not answered directly · how? → 103playable exchanges ↓ 27with none identified → 248people measured →

Every one of the 880 people on the record is accounted for: 56 carry a full rate (8 or more assessed questions on raw tape), 192 more have their questions counted (35 of them with at least one not answered directly; too few raw questions for a fair percentage, edited feed included), and the remaining 632 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.

The whole show 67 of 910 questions on raw tape
7%
0%25%50%+

All speakers

All 56 people with 8 or more assessed questions on raw tape. Click a name to see their exchanges. highest rate none identified small samples

Person Not answered directly (%) Redirected + not addressed Questions Argument clarity /5
Steph Smith Creator, Internet Pipes 44% 10 23 3.7
Steven Sinofsky Board Partner, Andreessen Horowitz 35% 6 17 3.9
Parag Khanna Founder & CEO, AlphaGeo 30% 3 10 4.2
Aarthi Ramamurthy Founder & General Partner, Schema Ventures 25% 3 12 3.9
Qasar Younis Co-founder & CEO, Applied Intuition 25% 2 8 3.9
Benedict Evans Independent Technology Analyst 23% 7 31 3.9
Jeff Jordan General Partner, Andreessen Horowitz 22% 2 9 4.1
Andy Walsh Director of High Performance, Red Bull 20% 2 10 3.7
John Markoff Distinguished Fellow, Stanford Institute for HAI 20% 2 10 4.0
Dan Boneh Professor of Computer Science, Stanford University 14% 2 14 4.3
Alex Fielding CEO and Chairman, Privateer 14% 3 22 3.9
Alex Rampell General Partner, Andreessen Horowitz 13% 4 30 4.0
Kieran Snyder VP of Product, AI, Microsoft 13% 1 8 4.3
Parker Conrad Co-founder & CEO, Rippling 13% 1 8 4.0
Vijay Pande General Partner, a16z Bio + Health 12% 2 17 3.9
Anish Acharya General Partner, Andreessen Horowitz 10% 1 10 4.3
Evangelos Simudis Founder and Managing Director, Synapse Partners 8% 1 12 4.0
Martin Casado General Partner, Andreessen Horowitz 8% 2 26 4.2
Karen X. Cheng Founder & Creative Director, KarenXCheng Inc. 8% 2 26 4.2
Olivia Moore Partner, Andreessen Horowitz 8% 1 13 4.5
Patrick Hsu Co-Founder and Core Investigator, Arc Institute 8% 1 13 4.1
Neal Stephenson Co-Founder and Chairman, Lamina1 7% 2 29 4.5
Sarah Wang General Partner, Andreessen Horowitz 6% 1 16 4.3
Justin Mares Founder & CEO, Truemed 6% 1 17 4.5
Vas Narasimhan CEO, Novartis 6% 1 17 4.4
Keith Rabois Managing Director, Khosla Ventures 5% 1 20 4.1
Christopher Nguyen Co-Founder and CEO, Aitomatic 5% 1 21 4.2
Bridgit Mendler CEO & Co-Founder, Northwood Space 4% 1 26 4.0
Marc Andreessen Co-Founder and General Partner, Andreessen Horowitz 3% 1 32 3.9
David Haber General Partner, Andreessen Horowitz 0% 0 10 4.1
Ben Horowitz Co-Founder and General Partner, Andreessen Horowitz 0% 0 29 4.3
Justine Moore Partner, Andreessen Horowitz 0% 0 10 4.4
Jonathan Swanson Founder & Chairman, Athena 0% 0 19 4.5
Emmett Shear Co-founder and CEO, Softmax 0% 0 10 4.1
Amjad Masad Co-founder & CEO, Replit 0% 0 27 4.3
David Sacks Founding General Partner, Craft Ventures 0% 0 10 4.2
Chris Power Founder & CEO, Hadrian 0% 0 32 4.4
Balaji Srinivasan Founder, The Network School 0% 0 12 4.2
Mina Song Co-founder & CEO, EliseAI 0% 0 13 4.5
Christina Kim Researcher, OpenAI 0% 0 12 4.1
Kimberly Tan Investing Partner, Andreessen Horowitz 0% 0 8 4.4
Roy Lee Co-founder & CEO, Cluely 0% 0 12 4.2
Doug Bernauer Founder & CEO, Radiant 0% 0 10 4.1
Connie Chan Former General Partner, Andreessen Horowitz 0% 0 20 4.4
Jason Feifer Editor-in-Chief, Entrepreneur Magazine 0% 0 21 4.3
Dr. Moriba Jah Chief Scientist & Co-Founder, Privateer 0% 0 14 4.3
Sondre Rasch Co-founder and CEO, SafetyWing 0% 0 8 4.2
Darren Murph Future of Work and AI Architect 0% 0 8 4.3
Alex Bouaziz Co-Founder and CEO, Deel 0% 0 12 4.0
Steve Zhao Founder & CEO, Sandbox VR 0% 0 24 4.4
Anu Hariharan Founder & Managing Partner, Avra 0% 0 21 4.3
Clay Shirky Vice Provost, New York University 0% 0 8 4.4
Laila Janah Founder & CEO, Samasource 0% 0 20 4.2
Matei Zaharia Co-Founder and CTO, Databricks 0% 0 10 4.5
Nathaniel Popper Editor & Journalist, Bloomberg News 0% 0 10 4.5
Kim Zetter Investigative Reporter, Wired Bio: Kim Zetter is a veteran cybersecurity investigative journalist and author of Countdown to Zero Day. She covers cyberwarfare, state-sponsored espionage, and the mechanics of major security incidents and digital threats. 0% 0 13 4.4

The moments, on tape

The question asked, then the AI assessment note from the answer. Tap to play the moment. Not addressed = the question was not engaged; redirected = acknowledged, then steered elsewhere.

Not addressed Nathan Labenz ▶ 26:17

“I think we spoke maybe a year ago about this, or I think you said something like 50% of 50% of jobs. Um, I'm curious if that's still your, your, uh, your litmus test, or how do you think about it?”

answered: “Well, for one thing, I think that meter paper is worth unpacking”

Not addressed Ross Anderson ▶ 20:06

“And what is that? What is the connection between grass and humans?”

answered: “grass is like kind of the newest big, Um, plant-based biome on the planet”

Not addressed Evan Burfield ▶ 11:35

“What made you guys decide to even consider Twiga?”

answered: “supporting startups anywhere in the world that are tackling these kinds of challenges”

Not addressed Eric Ries ▶ 16:22

“Like, how do you, how does Lean Startup kind of help with that? Like, what have you seen on the front lines of that?”

answered: “can you explain to me what this person does?”

Not addressed Margit Wennmachers ▶ 11:18

“Blog posts count as under SEC rules, right?”

answered: “So the way I think about the press and blogging is that you want”

Not addressed Aarthi Ramamurthy ▶ 8:34

“So where would you say the show is now? Like what, what kind of show are you trying to create?”

answered: “how would you describe where we are now?”

Not addressed Margit Wennmachers ▶ 11:18

“Blog posts count as under SEC rules, right?”

answered: “the way I think about the press and blogging is that you want to do both.”

Not addressed Jeff Jordan ▶ 2:14

“Is it enough to just say we've got a lot of engagement and therefore we have a network effect? How do you actually know there is a network effect?”

answered: “So that's not completely apparent when we're investing.”

Not addressed Christopher Nguyen ▶ 20:24

“But what does that really give us? Does it, I mean, cause when I think about big data, I think about in the abstract So it's still not clear to me what machine learning being a property of every application, like, so what does that do for us?”

answered: “Let me give you an example by a story from one of the”

Not addressed Benedict Evans ▶ 28:58

“If you had to guess, what are the use cases outside of coding that could potentially yield, you know, daily activity?”

answered: “predictions are hard, especially about the future.”

Not addressed Guy Parsons ▶ 28:43

“blog post sharing images, whether it's creating, you know, the next sneaker design that you end up selling. Are there areas that you've seen really emerge from this where people are using these tools today and applying them to, again, what someone might call a practical use case and In addition to maybe what you've seen so far, are there other areas where you're excited to see this be applied?”

answered: “when you see these things used, especially in prominent contexts, they might not be advertised”

Not addressed Jeff Jordan ▶ 2:14

“Is it enough to just say we've got a lot of engagement and therefore we have a network effect? How do you actually know there is a network effect?”

answered: “we brawl over this concept because the easy observation is businesses with network effects”

Not addressed Joe Schmidt ▶ 2:40

“So convince me otherwise, how is this different from traditional private equity?”

answered: “First, like, what is private equity? Like, I think that's important to, like, just talk about.”

Not addressed Qasar Younis ▶ 43:56

“in this podcast about this importance of differentiation, if this is a tool that everyone has, it sounds like they would differentiate on data. So how do you in this ecosystem where you're making this argument that there's this horizontal versus vertical layer, are all these players willing to share in the ecosystem, the mapping companies, the sensor companies, the big vehicle companies, how do yo”

answered: “Data means a lot of different things. It's not like scenarios”

Redirected Alex Rampell ▶ 6:33

“Alex, how about you? How do you react to what's been happening or how do you make sense of what's going on?”

answered: “maybe I can take a step back before I even answer your question”

Redirected Dr. Katherine Huff ▶ 22:33

“Huff, can you just speak to maybe how regulation plays a role in enabling some of these projects, and whether any of that is changing, or maybe whether Vogel is an outlier? How do you think about that?”

answered: “not to Divert from your question about regulation, but I do think”

Redirected AJ Thomas ▶ 18:04

“Or is this a matter of certain companies just needing to orient around certain group kind of targeting Gen Z while others Targeting maybe an older generation. How do you think about attracting different folks with so many different competing interests?”

answered: “One provocation that I have is do organizations believe that remote work is a philosophy”

Redirected Chris Dixon ▶ 16:40

“But there is this chicken-egg problem in the sense of, You can't have a lot of users when you don't have scale, but you also need to scale in order to have a lot of users, because scalability is a pretty big bottleneck here. How is the community addressing that?”

answered: “There's a whole bunch of different interesting kind of approaches to improving that.”

Redirected Arun Sundararajan ▶ 17:12

“What you're really talking about, Arun, is a shift to the new future of work. What do you see as the key challenges of that shift?”

answered: “let me start with some of the benefits of that shift”

Redirected Dan Boneh ▶ 31:52

“Are the enabling conditions at all changing that can make it possible? I feel like we're seeing a resurgence again of interest in, in advances that show that they might be more possible to build than they have before.”

answered: “before I answer that, actually, let me just make a quick comment here”

Redirected Nathan Labenz ▶ 26:17

“I think we spoke maybe a year ago about this, or I think you said something like 50% of 50% of jobs. Um, I'm curious if that's still your, your, uh, your litmus test, or how do you think about it?”

answered: “I think that meter paper is worth unpacking a little bit more”

Redirected Arun Sundararajan ▶ 17:12

“What you're really talking about, Arun, is a shift to the new future of work. What do you see as the key challenges of that shift?”

answered: “let me start with some of the benefits of that shift”

Redirected Dan Boneh ▶ 31:52

“Are the enabling conditions at all changing that can make it possible? I feel like we're seeing a resurgence again of interest in, in advances that show that they might be more possible to build than they have before.”

answered: “before I answer that, actually, let me just make a quick comment here”

Redirected Kieran Snyder ▶ 21:04

“That's great. Did you guys, I have to ask, did you, um, kind of put any Kickstarter projects up there yourselves just to give it a whirl?”

answered: “I will come back to your question. Um, one of the things that's been fascinating”

Redirected Benedict Evans ▶ 10:24

“I'm curious what, what sort of inspires that sort of, uh, you know, sort of state statement, and then also what might change your mind either way? You know, that it might not be as big as the internet, because of course the internet was obviously very big, but also that, hey, perhaps it might be bigger.”

answered: “I don't want to kind of get into... I think the question is more like”

Redirected Martin Casado ▶ 13:33

“What do you advise us to do then? What should they be presenting when they're talking about we have this B to B to C?”

answered: “maybe it'll be helpful to go through kind of like the mental life cycle”

Redirected Dr. Jay Bhattacharya ▶ 23:03

“Are, are there certain areas you feel were under allocated or over allocated if, if you could, uh, you know, just wave a wand?”

answered: “Oh, we're all, every area is under allocated, of course.”

Redirected Steven Sinofsky ▶ 10:52

“And just to evaluate one of those paths, if Satya could go back in time, knowing what he knows now, do you think he might've done something or would you have considered doing something different? Um, how, how should we think about how this has worked out for Microsoft?”

answered: “You can't ask me questions about my friends”

Redirected Trevor McFedries ▶ 40:18

“You could also imagine like a decentralized influencer where basically like not only is their worth distributed amongst a bunch of people, but actually like what they do, their narrative might be influenced by the people who have some sort of ownership over them. Trevor, why don't we start with you and just like any, any ideas on how technology actually advances, empowers our ability to create the”

answered: “One thing I think about a lot is, like, why culture is not viewed”

Redirected Isaac Bratzel ▶ 17:45

“I guess today the technology is getting better, but like, what are the technologies that are going into creating little Michaela and then not just look Michaela on Instagram, but these music videos, I think she's on Spotify. Like what technologies are you actually using to accomplish all this?”

answered: “there's a lot of different ones. I think that there's a huge”

Redirected Josh Browder ▶ 26:43

“Are you also doing that? Are you bringing in lawyers who are specialized in these areas to take a look at the output from your models to hone them in or improve them?”

answered: “Yeah, we have some of the best lawyers in the country helping us”

Redirected Margit Wennmachers ▶ 12:01

“Okay, so a frequently asked question is, when is the best time, timing-wise, for a startup founder to bring in a PR agency?”

answered: “PR is not a transactional thing. It is a long-term thing.”

Redirected Natasha Tiku ▶ 20:26

“I'd love to hear more thoughts from you guys on what do people actually do, because it's not enough to just say, like, okay, the social safety net is not there. Now what do we do moving forward?”

answered: “loss of collective bargaining power and income inequality is how we arrived”

Redirected Andy Walsh ▶ 34:58

“Why does humility matter? I would think that being on the field, you have to be competitive and aggressive and not necessarily humble.”

answered: “I think resiliency you brought up is a common term right now”

Redirected Adam Grant ▶ 2:57

“What are some of the other counterintuitive characteristics? I think, by the way, procrastination was super interesting to me.”

answered: “many of them resisted that temptation and used procrastination productively”

Redirected Adam Grant ▶ 27:27

“Seuss, like, published Cat in the Hat, like, super high on patents? Like, I mean, those kids were fully defying their parents with, like, the cat in the house.”

answered: “Yeah, I think there's, uh, there's a case to be made there, and more recently”

Redirected Bridgit Mendler ▶ 26:33

“I just, as is the first I've heard of it, what is your, um, Thinking on it, the feasibility of it, will compute, move to orbit? Yeah, what do you think about it?”

answered: “our mentality at Northwood is we want to take space missions further faster.”

Redirected Benedict Evans ▶ 45:32

“Do you think there's some kind of co-evolution between AI native software and new types of interfaces? For example, new customer service AI platforms that might not have had as much human facing UI or system of record software being built without a front end at all because its primary user will be AI agents querying it directly?”

answered: “They're things I struggle to have a strong opinion on”

Redirected Alex Rampell ▶ 33:47

“What have we learned? What are the ups and downs been, et cetera?”

answered: “Zillow was like, oh my God, like, you know... I have to go do what Opendoor does.”

Redirected Alex Rampell ▶ 16:24

“So what's the right balance here? And, and I mean, I know there's no right answer, but what's the best practice?”

answered: “Shannon can probably answer the, the HR aspects of that very, very well.”

Redirected Steven Sinofsky ▶ 41:34

“And so let's say Trump brings you in and says, hey, I've noticed that, uh, you know, nearly all of computing is, uh, you know, every layer of stack is, is done in China and, and, you know, Asia more broadly, um, and I'm trying to sort of decrease our dependencies, um, Microsoft man. What, what should I do?”

answered: “there are much smarter people who know more and have much more at stake”

Redirected Neal Stephenson ▶ 1:00:02

“Is Lamina One almost like a transparent layer under these existing engines? Or, or can you share a little bit more about how that might work?”

answered: “I'm not sure if I would say transparent because that suggests invisible.”

Redirected Benedict Evans ▶ 28:58

“If you had to guess, what are the use cases outside of coding that could potentially yield, you know, daily activity?”

answered: “predictions are hard, especially about the future. Um, and I think there's a sort of”

Redirected Patrick Hsu ▶ 49:59

“If not too difficult, I want to ask, uh, Jorge a question adopted to these, uh, additional spaces, um, robotics, um, sort of BCI and, and longevity if appropriate in terms of, and the three questions I believe were, what's overhyped? What's, uh, where do you see, uh, uh, opportunity or path and what's got heft already?”

answered: “I think the cool thing about agents generally is that They do real work”

Redirected Steven Sinofsky ▶ 5:44

“And could we see Apple do a similar type of play where they sort of buy the talent in house or buy the company? How do you think about that?”

answered: “I'll let Meta decide how great it is for Meta or whatever”

Redirected Justin Mares ▶ 11:15

“You obviously, you know, before TruMed, you started a bone broth company. What are other big companies that could be built in the space or opportunities to make a difference?”

answered: “figuring out how to make These sorts of lifestyle interventions, part of the healthcare system”

Redirected Zachary Perret ▶ 10:44

“Or, you know, people said it is the new version of the new internet. Maybe hopefully it still happens, but in terms of where it is right now, is it, you know, mostly just a subset of fintech?”

answered: “how and where does crypto and fintech fit into the existing set of consumer behaviors”

Redirected Benedict Evans ▶ 58:59

“What, what would need to happen? What, what, what would, uh, what would evolve our thinking?”

answered: “we would have to be seeing something that would really shift our perception”

Redirected Benedict Evans ▶ 43:20

“Does that just take time? Or do you think we need more experimentation, iteration from these vertical AI startups to get Is this the right shape of software for the future?”

answered: “an interesting turn on this is this is both what, what strategy consultants do”

Redirected Alex Rampell ▶ 23:18

“Because I hear you describe the sort of landscape. How do we then come in with new ideas that help change what you described?”

answered: “So I think software is a huge part of it, because this is exactly”

Redirected Anish Acharya ▶ 12:20

“Who would be good for me to date? We have, you know, these platforms get all this information about us, you know.”

answered: “an interesting area that's, you know, maybe inform like where this all goes”

Redirected Reid Hoffman ▶ 25:26

“Um, do we need another breakthrough of a different kind? What is your view on some of these questions?”

answered: “one of the things we, you know, we all swim in this universe of extrapolating”

Redirected Keith Rabois ▶ 11:05

“Let's get deeper, just on the effects of AI and the economy, if, if scaling laws hold to some degree, do, you know, will it show up in the productivity statistics directly? Um, you know, what does it do to, uh, wages?”

answered: “if you read the Bommel, you know, Curse of the Bommel stuff”

Redirected Steven Sinofsky ▶ 5:44

“And could we see Apple do a similar type of play where they sort of buy the talent in house or buy the company? How do you think about that?”

answered: “I think what, what Meta is doing is at the very least, it's great for AI.”

Redirected Vijay Pande ▶ 21:46

“So what concretely can entrepreneurs do to a build data network effects or think more strategically about it early on versus by accident? And secondly, what do you want to see in pitches from entrepreneurs when they talk about data network effects?”

answered: “often we see situations where maybe that plan hasn't been well thought out yet”

Redirected Hung Lee ▶ 3:17

“There are technology trends like AI, and so I guess just to kick things off, with so many things happening at the same time, what are each of you paying attention to? What's really grasping your attention when it comes to this question of What it takes to attract talent in twenty-twenty-three.”

answered: “how do we kind of build a resilient business against unpredictable change.”

Redirected Isaac Bratzel ▶ 16:33

“And yeah, tell me more about, like, operationally. How do you make that happen?”

answered: “using that then to inform The longer form content”

Redirected Aarthi Ramamurthy ▶ 8:34

“So where would you say the show is now? Like what, what kind of show are you trying to create?”

answered: “how would you describe where we are now?”

Redirected Aarthi Ramamurthy ▶ 43:08

“If you put your founder hat on, are there certain companies or gaps that you think really need to be addressed that could help podcasters like you and I?”

answered: “There are a lot of these, like, tools that are now coming in and just getting really good”

Redirected Guy Parsons ▶ 13:12

“And so you can't like fine tune it in the same ways as maybe some other skills that we've learned in the past. And so how have you learned to actually become a better prompt engineer given that black box nature?”

answered: “I think another aspect is you and I both type in the same thing.”

Percentages come from raw unedited recordings only: produced podcast audio has tangents and stumbles cut in the edit, which moves the speaker up by about 12 percentile points. The small-sample counts include the produced feed. This is a reading of a transcript. It is not an accusation of dishonesty, and there are many good reasons not to answer a question directly (confidential numbers, unreleased products, someone else's news to break).

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