Anjney Midha
Founder & CEO, AMP · 12 appearances on the record.
computed by AI from the episodes · how this works → · full disclaimer →
founderinvestorexecutivehost@AnjneyMidha ↗LinkedIn ↗amppublic.com ↗
Anjney Midha founded AMP to build independent compute infrastructure, after leading AI investments at Andreessen Horowitz. He previously co-founded Ubiquity6, which was acquired by Discord, and was an early investor in companies such as Anthropic and Mistral AI.
7 supported 4 partly supported 0 contradicted 1 not yet assessed 17 not checkable as stated how the 28 claims stand · each chip opens the sources
6 predictions · 22 assertions · 6 opinions · 17 insights · every statement was checked. The predictions and assertions are the 28 claims: statements the public record can support or contradict. 10 are resolved, 1 is not yet assessed, and 17 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.
The record, in short
What the tape says about how Anjney argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Expressed certainty vs assessment result
weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet
How they sound: speaking style how? →
267 words/min while actually speaking · 16.8 um and uh per 1k words · 24 false starts per 1k · 26.9% of pauses land inside a clause
Um and uh per 1,000 words, year by year. Hover a point for the year's tape.
No argument clarity score for Anjney Midha: only 2 usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.
Measured by listening to the audio itself: 22,945 words across 11 episodes of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →
Everything Anjney Midha said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
The other half of the tape: Anjney Midha's own voice is left out of every number here. Other people bring the name up 4 times in 3 episodes on the a16z Podcast. every mention, with the transcript →
Who brings them up most Nathan Labenz 1Jason Citrin 1
Every mention by year
2025 2 mentions in 2 episodes 1 per episode
2024 2 mentions in 1 episode
Appearances (12)
| Episode | Date | Speaking time |
|---|---|---|
| Building an AI Physicist: ChatGPT Co-Creator’s Next Venture | Sep 30, 2025 | 9m |
| The Current Reality of American AI Policy: From ‘Pause AI’ to ‘Build’ | Aug 15, 2025 | 18m |
| Beyond Leaderboards: LMArena’s Mission to Make AI Reliable | May 29, 2025 | 17m |
| Rick Rubin: Vibe Coding is the Punk Rock of Software | May 28, 2025 | 7m |
| Building the Next Generation of Conversational AI | Mar 15, 2025 | 15m |
| AI Is Becoming a Regional Race | Jan 3, 2025 | 13m |
| The Quest for Community-Trained Open Source AI Models | Oct 1, 2024 | 11m |
| Luma's Dream Machine and Reasoning in Video Models | Sep 9, 2024 | 3m |
| Text to Video: The Next Leap in AI Generation | Feb 17, 2024 | 2m |
| Safety in Numbers: Keeping AI Open | Dec 28, 2023 | 9m |
| Big Ideas 2024: AI Interpretability: From Black Box to Clear Box with Anjney Midha | Dec 23, 2023 | 14m |
| Improving AI with Anthropic's Dario Amodei | Sep 25, 2023 | 4m |