Straight Answers
An LLM assessed 896 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 168 people on the record is accounted for: 2 carry a full rate (8 or more assessed questions on raw tape), 161 more have their questions counted (33 of them with at least one not answered directly; too few raw questions for a fair percentage, edited feed included), and the remaining 5 never took a direct question in any tape we hold: compilations, panels and cameo appearances leave nothing to assess.
Elad Gil: every exchange, playable
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.
“Or we have this other project led by Kyle Fish, our model welfare lead. Where Claude can actually opt out of conversations if it's going too far in the wrong direction.”
answered: “What aspects of that should a company actually adjudicate?”
“We remember what it's like to have all bucks stop with you. And if there's a way that we can apply that level of decisiveness here, And accelerate teams through like the otherwise, like, you know, design by committee bullshit that kills a lot of companies, then like that's a net positive, right?”
answered: “The other piece of buying in companies is sort of integrating different systems and platforms.”
“How do we make sure this American stack is dominating that market share of tokens inference? Very good method.”
answered: “one other thing that you didn't mention, I feel, is a cultural exportation”
All speakers
All 2 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 |
|---|---|---|---|---|
| Elad Gil Founder, Gil Capital | 30% | 3 | 10 | 4.0 |
| Mustafa Suleyman CEO, Microsoft AI | 0% | 0 | 9 | 4.5 |
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).