Silas Alberti

SVP of Research, Cognition · 1 appearance on the record.

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scientistengineeracademic@silasalberti ↗sil.as ↗

Silas Alberti leads research and engineering initiatives at Cognition, including the development of DeepWiki and reinforcement learning models for coding agents. As an AI PhD student at Stanford, he also co-developed PIGEON, a computer vision system for GeoGuessr, and the generative presentation tool ChatBCG.

17statements → 6claims → 2claims resolved → 3.59/5average certainty → 1.53/5average debate potential → 1said about them ↓

2 supported 0 partly supported 0 contradicted 4 not checkable as stated how the 6 claims stand · each chip opens the sources

2 predictions · 4 assertions · 4 insights · 7 disclosures · every statement was checked. The predictions and assertions are the 6 claims: statements the public record can support or contradict. 2 are resolved, and 4 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 Silas 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
Alberti: Over 1,000 GitHub projects added DeepWiki badges to their repositories
“There was more than a thousand projects already had The like deep wiki batch, which I thought was like super awesome to see like way more than I expected.”
Silas Alberti May 21, 2025 ▶ 14:02 DeepWiki: The GitHub Encyclopedia

Everything Silas Alberti said on Latent Space that made the record, most notable first. Filter by type, assessment or year in the ledger →

Prediction Not checkable as stated
Alberti: AI App Companies Must Encode Product Needs Into RL Feedback
“I think that's almost how I view like the future of application layer companies. Cause I mean, yeah, you see like the different, the labs are also now creating these like RL platforms and you can soon like customize models with RL on your personal, like on you…”
Silas Alberti May 21, 2025 ▶ 31:16 DeepWiki: The GitHub Encyclopedia
Insight
Alberti: Small numbers of manually curated evals beat large eval sets
“I think usually like small numbers of very high quality evals are the way to go and like we curate them manually and make sure they're really good.”
Silas Alberti May 21, 2025 ▶ 17:39 DeepWiki: The GitHub Encyclopedia
Insight
Alberti: Wiki pages are a better abstraction than pure RAG for codebase search
“If you just do like pure, like rack on like such a big base code files, it'll just be like pretty bad at a certain point, you know, on a single code base. Sure. I can see it, but Tens of thousands of code bases. It's tougher. But I think actually the wiki page…”
Silas Alberti May 21, 2025 ▶ 26:29 DeepWiki: The GitHub Encyclopedia
Insight
Alberti: Multi-Turn RL Enables Aggressive Code Optimization Over Single-Turn Models
“Basically the single-turn model that was just trained on, like, getting the best result after one turn. It would basically be a little bit, like, too careful, because it couldn't risk writing, like, non-compiling code, whereas, like, the multi-turn model would…”
Silas Alberti May 21, 2025 ▶ 30:19 DeepWiki: The GitHub Encyclopedia
Prediction Not checkable as stated
Alberti: DeepWiki compute spend may break $1M soon
“So we think we should be now at like the high, like tens of thousands of repos. So I guess you can like do the rough map. Like we might be approaching quite significant numbers of compute spend here. I mean maybe we'll like break the million soon.”
Silas Alberti May 21, 2025 ▶ 3:46 DeepWiki: The GitHub Encyclopedia
Insight
Alberti: Folder structure graphs are poor representations of codebase architecture
“There are some, the simplest one is a folder structure graph, but unfortunately, it's, like, actually a pretty bad one because people sometimes just, you know, like, put all the components in this folder and all the servers in this folder.”
Silas Alberti May 21, 2025 ▶ 8:28 DeepWiki: The GitHub Encyclopedia
Disclosure
Alberti: Cognition built its own in-house vector database
“This culture of like building everything in-house. It's also kind of funny, like we, there's like a rack component to this. And I've been actually, I personally advocate, I can just like use a vector database and make life easy. But then there's a really stron…”
Silas Alberti May 21, 2025 ▶ 10:46 DeepWiki: The GitHub Encyclopedia
Disclosure
Silas Alberti: DeepWiki pairs AI codebase documentation with a research agent
“And I think it has like two components. It has the wiki itself, which is basically like AI generated Got documentation for any code base on GitHub, and then there's, like, the deep research agent that leverages both this, like, wiki, but also, like, any code f…”
Silas Alberti May 21, 2025 ▶ 1:54 DeepWiki: The GitHub Encyclopedia
Disclosure
Silas Alberti: DeepWiki scaled infrastructure for tens of thousands of developers
“I think the particular thing that we had to make happen for DeepWiki was, like, scaling up the infra so we could support, like, tens of thousands of open source developers at the same time. And I think also just, like, Making it be, there's like no sign up req…”
Silas Alberti May 21, 2025 ▶ 2:30 DeepWiki: The GitHub Encyclopedia
Assertion Not checkable as stated
Alberti: 80% to 90% of DeepWiki users view pre-indexed popular repos
“So I would say, like, 80%, 90% of users just, like, check out one of the popular repos.”
Silas Alberti May 21, 2025 ▶ 5:13 DeepWiki: The GitHub Encyclopedia
Disclosure
Alberti: Devin updates codebase indexes on every commit for paid users
“If you like pay for Devin, for example, like we actually update it on literally every commit incrementally.”
Silas Alberti May 21, 2025 ▶ 13:42 DeepWiki: The GitHub Encyclopedia
Assertion Supported
Alberti: Over 1,000 GitHub projects added DeepWiki badges to their repositories
“There was more than a thousand projects already had The like deep wiki batch, which I thought was like super awesome to see like way more than I expected.”
Silas Alberti May 21, 2025 ▶ 14:02 DeepWiki: The GitHub Encyclopedia
Disclosure
Alberti: DeepWiki auto-updates documentation for free repositories displaying its badge
“So we just decided, okay, how about we just detect whether you have the wiki batch and then we'll keep it updated for you.”
Silas Alberti May 21, 2025 ▶ 14:19 DeepWiki: The GitHub Encyclopedia
Disclosure
Alberti: Setting up dev environments is Devin's highest onboarding hurdle
“So Devon actually needs, like, a full dev environment to be set up. And I think you guys probably both went through this when you onboarded with Devon. It's, like, probably, like, the highest friction onboarding point that we still need to, like,”
Silas Alberti May 21, 2025 ▶ 23:25 DeepWiki: The GitHub Encyclopedia
Assertion Supported
Alberti: Cognition is based in SF after early nomadic hacker houses
“We're actually mainly based here in SF. I mean, yeah, the founding mythology is, I think we were a nomadic company in the beginning. So we had hacker house in different places. I think the first one was actually in Burning Game. Then it was in New York, then b…”
Silas Alberti May 21, 2025 ▶ 0:40 DeepWiki: The GitHub Encyclopedia
Disclosure
Silas Alberti: DeepWiki began as a free open-source side project
“I mean, it was supposed to be this like open source focus, like free site project almost, but it became bigger than expected.”
Silas Alberti May 21, 2025 ▶ 1:34 DeepWiki: The GitHub Encyclopedia
Assertion Not checkable as stated
Alberti: DeepWiki experienced spikes of 2,000 indexing jobs queued
“Sometimes it's like random spikes. I don't know how they happen. Like 2000 indexing drops in the queue. Suddenly it was like the other day.”
Silas Alberti May 21, 2025 ▶ 11:35 DeepWiki: The GitHub Encyclopedia

The other half of the tape: Silas Alberti's own voice is left out of every number here. Other people bring the name up 1 time in 1 episode on Latent Space. every mention, with the transcript →

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Appearances (1)

EpisodeDateSpeaking time
DeepWiki: The GitHub Encyclopedia May 21, 2025 14m
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