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Ankit Gupta

General Partner, Y Combinator. On 1 show, 2 appearances. The Shows tab opens the full record on each.

investorfounderengineerhostscientistankitg.me ↗

He co-founded and served as CTO of Reverie Labs, an AI drug discovery company acquired by Ginkgo Bioworks in 2024. As a General Partner at Y Combinator, he advises AI and biotech startups and hosts the interview series Decoded.

1shows
2appearances
5statements
1resolved
1supported
0contradicted
100%fully supported
4said about them ↓

Everything Ankit Gupta said on any show that made the record, most notable first. Each card names its show and opens the statement there.

Gupta: Machine learning progresses by abandoning bio-plausibility for computational efficiency
“I think machine learning tends to have a long history of people starting with bio-plausible arguments, and then realizing that there's some variant of them that seems highly bio-implausible that actually works better.”
Ankit Gupta May 1, 2026 ▶ 14:35 Recursion Is The Next Scaling Law In AI · Y Combinator
Gupta: Recursive Latent Hidden States Function Like a Turing Machine Tape
“I kind of think of this set of hidden states or carry as akin to a Turing machine tape or akin to the radix sort, ah, memory bank, where you can basically train a model to use this memory cache in an intelligent way in a single forward pass so that you can get…”
Ankit Gupta May 1, 2026 ▶ 17:03 Recursion Is The Next Scaling Law In AI · Y Combinator
Gupta: Chain of Thought Operates in Token Space, Not Model Recursion
“There already exists some type of recursion that people are used to in LLMs, which is a chain of thought we mentioned earlier, but that is a recursion that's happening in the token space of the model's outputs, not inherent to the model itself. That's sort of …”
Ankit Gupta May 1, 2026 ▶ 19:01 Recursion Is The Next Scaling Law In AI · Y Combinator
Gupta: Recursive architectures achieve compute depth without parameter depth
“Recursion advantage now gives you a bunch of advantages over transformers where rather than having, you know, 500 or a thousand or a million or whatever transformer layers and having tons and tons of parameters, you get compute depth basically without this par…”
Ankit Gupta May 1, 2026 ▶ 24:32 Recursion Is The Next Scaling Law In AI · Y Combinator
Y COMBINATOR Assertion Supported
Gupta: Current TRMs and HRMs are task-specific, not general-purpose
“One of the things that's really interesting about these TRMs and HRMs is they're not general purpose models, right? These were Task specific models, right? The model trained to do Sudoku cannot do ArcPrize inherently. It has to be trained on the ArcPrize set t…”
Ankit Gupta May 1, 2026 ▶ 36:19 Recursion Is The Next Scaling Law In AI · Y Combinator

The other half of the tape: Ankit Gupta's own voice is left out of every number here. Other people bring the name up 4 times in 2 episodes across the shows. every mention, with the transcript →

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Every mention by year

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the Y Combinator Startup Podcast 4

2026 4 mentions in 2 episodes 2 per episode

One line per show, most statements first. The link opens Ankit's full record on that show: the calibration, argument clarity, speaking style and every statement made there.

ShowRole thereEpsStatementsRecord
Y COMBINATORLEDGER General Partner, Y Combinator 2 5 100% 1/1 full record on the Y Combinator Startup Podcast →
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