Dmitry Petrov @FullStackML
🛠️ Building data infra for AI/ML. Ex-Data Scientist @Microsoft. Created DVC, now DataChain. PhD in CS. Serious about data. Less serious about everything else. datachain.ai San Francisco, CA Joined October 2011-
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@ajs6888 Exactly 😄 this is where the fun begins (Glad X can translate in one click)
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Physical AI data breaks the usual agent loop. Tomorrow: Claude Code over raw video, metadata, and expensive compute in S3. Live demo: 8am San Francisco / 4pm London / 5pm CET Join us: luma.com/3jjb56bx
Going deeper this Thursday - with a live Claude Code demo over raw Physical AI data in S3. 8am San Francisco / 11am NY / 4pm London / 5pm CET luma.com/3jjb56bx
Claude Code and Codex were built for weightless data. Physical AI data has mass. My talk on the other physics of agents: youtube.com/watch?v=bUJgir…
This made me check my own citations. Turns out DVC has 40+ citations which is more than my PhD research Apparently, open source is a better academic strategy than academia 😄 @shcheklein @rkuprieiev @isidentical congrats, we’re academics now. Who knew?
You don’t have to publish papers to have academic citations or even an h-index. I dropped out of uni years ago 🤦♂️, and always wanted to contribute in different ways: open-source libraries, datasets, benchmarks, and overly long blog posts. I finally created a Google Scholar
Strongly agree. Today's coding RLVR mostly targets functional correctness, not design or maintainability. The real leap comes when RLVR adds multi-objective evaluation for design, code quality, and maintainability. Then comes the sequel, @dexhorthy: why great software still needs humans 😄
@signulll My ex-teammate made the same choice. A US PhD and Big Tech experience made it much easier for him to start a company in China.
Coding-agent intuition breaks down on physical-world data That’s my AI Engineer World’s Fair Online Track talk this week. See you there! I’ll be the guy in the Villain-Con shirt 😄
Claude and ChatGPT are both down. Tokenmaxing seems to work.
@ChiefScientist This is how we vibe coded in 2000s
@fantopy It’s about Data Agents over S3. Semantic Layer for Files.
Call for Proposals for AGNTCon + MCPCon North America 2026 is open on Sessionize and I've just submitted a session! sessionize.com/agntcon-mcpcon…
Talked about data agents beyond SQL at @pydatalondon today. Files, video, sensors, metadata, Python workflows - all the messy stuff where real data work happens. Thanks everyone who came by 🙌
@trikcode 5 —> 128 Another proof that 10x productivity isn’t a limit
@ArchiveExplorer Is it because Claude code, I guess?
Excited to speak at @PyData London this Sunday! I’ll be talking about data context for agents beyond SQL: video, sensors, files, metadata, and Python workflows. 10:15 · Hardwick Hub Conference Room Come say hi!
Tomorrow, PyData London 2026 begins. If you have your ticket, we'll see you there. If you don't have yours yet — there's still time: hubs.la/Q04jpJ3R0 - - - PyData London 2026: Convene Sancroft, St. Paul's Tutorials: Friday, June 5-7 Talks: Saturday and Sunday, June 6-7
@Hans365days Depends on the problem but yes, context engineering usually takes majority of the time. In data likely 90%
@abenz_mato Yes, data lineage plays an interesting role in data agents. With human it's nice to have, with agent is absolutely must-have.
Full side-by-side comparison table with more details: datachain.ai/blog/openai-an…
Sebastian Raschka @rasbt
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Andrew Ng @AndrewYNg
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Shreya Shankar @sh_reya
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Eugene Yan @eugeneyan
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Aaron Levie @levie
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Peter Wang 🦋 @pwang
48K Followers 2K Following Chief AI & Co-founder @AnacondaInc; invented @pyscript_dev, @PyData @Bokeh @Datashader. Former physicist. A student of the human condition. bsky: @wang.social
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1.1M Followers 6K Following President & CEO @ycombinator —Founder @garryslist—Creator of GStack & GBrain—designer/engineer who helps founders—SF Dem accelerating the boom loop
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