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Ankit Gupta

General Partner, Y Combinator · 2 appearances on the record.

computed by AI from the episodes · how this works → · full disclaimer →

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.

5statements → 1claims → 1claims resolved → 3.6/5average certainty → 2.2/5average debate potential → 4said about them ↓

1 supported 0 partly supported 0 contradicted how the 1 claim stands · each chip opens the sources

1 assertion · 4 insights · every statement was checked. The predictions and assertion are the 1 claim: statements the public record can support or contradict. 1 is resolved. 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 Ankit argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

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

Everything Ankit Gupta said on the Y Combinator Startup Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Insight
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
Insight
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
Insight
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
Insight
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
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 on the Y Combinator Startup Podcast. every mention, with the transcript →

Who brings them up most Harj Taggar 1

Every mention by year

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2026 4 mentions in 2 episodes 2 per episode

Appearances (2)

EpisodeDateSpeaking time
Recursion Is The Next Scaling Law In AI · Y Combinator May 1, 2026 11m
Anthropic Head of Pretraining on Scaling Laws, Compute, and the Future of AI · Y Combinato Sep 30, 2025 19m
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