Straight Answers
An LLM assessed 1,140 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 →
Every one of the 221 people on the record is accounted for: 6 carry a full rate (8 or more assessed questions on raw tape), 207 more have their questions counted (29 of them with at least one not answered directly; too few raw questions for a fair percentage, edited feed included), and the remaining 8 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.
Alex Kantrowitz: every exchange, playable
The question Alex 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.
“So this is a big question. How do we continue to own the application while leveraging increasing amount of automation?”
answered: “So are we already seeing them putting those tools to use in an attempt”
“So, should we stick with Substack, guys, or is it time to go X only? Those are, that's where I'm starting.”
answered: “I don't know if I'm fully on board with what he's saying.”
“Yeah, yeah, I think, I think provenance matters, you know, because it's provenance. Is this like a sleeper spy?”
answered: “So this is my sort of crackpot theory of the case”
“And if you don't have AI in there, if you shut it out, then you're actually going to be declining, not thriving. Right.”
answered: “It's almost as if all interaction with all apps will happen. Through this interface.”
“Um, but can models like really understand what's going on in these images to a much deeper level? Um, so there's large, uh, there's large vision models that are starting to incorporate language and images, but vision, there's no real all encompassing multitask vision model.”
answered: “So I have a couple of questions for you on this.”
“I, I, uh, yeah, I'm assuming you're not necessarily in EA. What was your sense of like, uh, were we assuming too many things in that conversation?”
answered: “I don't think I had enough grounding to be able to, um, to really answer”
“At what point does OpenAI reject the idea of, you know, adding more users to its platform for the sake of its mission? Um, I think that it is, I, my take about the SOAR app is I don't think that OpenAI is setting itself up for success with this because they are opening themselves up to, you know, the, the kind of incentives of a social media app.”
answered: “I think it's already there. So, uh, but anyway, we can leave that open”
“Like to the point of, you know, like you show up and there's aliens, uh, all of a sudden, if, if we're like, you know, human race says whatever, six or seven billion people, if there's all of a sudden a hundred billion bots on these, on these networks, like, what does that look like? Uh, and how do you, Possibly hope to control that.”
answered: “I don't know if you can. I really don't... So, uh, another big story”
“How do you change it? How do you make it enabled for non-human users as well?”
answered: “I want to talk about that. And first, let's just talk about detection.”
“Maybe does that make it more human and effective at actually kind of translating into your ability to form human connection? Is self-aware erotic AI the solution to true loneliness?”
answered: “Maybe. I, I don't, I, I hope not.”
“How, how do you do this? When do you do it?”
answered: “I have a thought, and I'd love to check this by you”
“Um, so like, what is it that actually gets people comfortable with it? Or is it just going to have to come with time and, and people using it in the world, not ending and people not losing their jobs or maybe losing their jobs, but AI helps them find new jobs, et cetera, that kind of stuff.”
answered: “getting back to the person, uh, side of, of this, and you spent a lot of time”
“What's an investment? Like these questions we've been asking, It ha everyone has kind of been asking, but have just, has just let it go because no one's had to actually really dig into the numbers here or actually kind of be, have their feet held to the fire on them.”
answered: “we question the economics and it would be one thing if the, you know”
“I, I think there's long-term damage that's gonna be tough to undo. What about you?”
answered: “Uh, but to me, I think one of the interesting things is”
“When I look at in the pocket, I saw so many cases coming back in how to reorganize our organization, how our governance looks like, and yet still at schools and universities, people are not taught about these principles. What, what's wrong?”
answered: “I wrote this book not for the tech giants... this stuff can most benefit, uh, government”
“minute nuanced debate about, like, where is anthropic now compared to, like, their starting ideology, but if you zoom out, what's obviously important here is that The ideology is the powerful driving motivator at the beginning of these companies, right? And then it becomes a question of like, how does that ideology like morph and live on or evolve as companies get bigger and have to deal with bigg”
answered: “Here is, um, One of my favorite stories that I've read”
“Like, what do I do? What do I do with that junior person if I don't need them in the meeting and how are they going to learn to be an advisor if they're not needed in the meeting?”
answered: “we do have declining birth rate... you're just going to have much fewer”
“But they have to focus and I don't, I don't think they will, but. How do they see themselves?”
answered: “Here's a way I think that you can make the product better”
All speakers
All 6 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 |
|---|---|---|---|---|
| Alex Kantrowitz Founder & Host, Big Technology | 23% | 18 | 78 | 4.0 |
| M.G. Siegler Author & Publisher, Spyglass | 7% | 1 | 15 | 4.0 |
| Ranjan Roy Co-author, Margins | 6% | 1 | 17 | 4.1 |
| Reed Albergotti Technology Editor, Semafor | 0% | 0 | 10 | 4.0 |
| Dallas Dolen US TMT Industry Leader, PwC | 0% | 0 | 9 | 3.9 |
| Matthew Prince Co-Founder & CEO, Cloudflare | 0% | 0 | 9 | 4.3 |
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).