Prasang Upadhyaya

AI/ML @dropbox. Past: @twitter, @uwcse, @iitbombay. Lesser half of @ketkisharma.

[Prasang Upadhyaya @prup]

(1/2) After over 7 years, I resigned from Twitter last Friday. I got to work on many things here, but building the Home Timeline was the most fun I have had in my career. A large part of it was the amazing people I had the good fortune to collaborate with and who made me better.

[Drew Breunig @dbreunig]

Incredible case study that's readable yet filled with practical approaches and tactics:

✔ Use GEPA to get near-frontier performance at 1/100th the cost.
✔ Quickly evaluate new models, without having to rewrite prompts.
✔ Evolve & maintain your programs w/o full rewrites

[Immanuel Trummer @ImmanuelTrummer]

💡 Two arXiv papers published in recent days (one from us, one from TUD) reach the same conclusion: LLMs can now generate C++ code for SQL processing that outperforms classical database systems.
⚙️ Our code generator is based on Claude Code and exploits multiple agents working in parallel. Each agent performs tasks typically associated with different components in a #DBMS, such as workload analysis, query optimization, or physical design tuning.
📊 We compare to various classical #DBMS such as DuckDB, ClickHouse, Umbra, MonetDB, and PostgreSQL, finding that the agent-generated code is often significantly faster. Code generation costs are moderate (<$20), making the approach practical for frequently executed queries.
🤖 Analyzing generated code, we find that agents exploit various optimization techniques, including query-specific data structures, as well as low-level optimizations that are specific to the hardware cache hierarchy of our server.
📃 Paper: https://t.co/PBLC9XX5Tv
💾 Code: https://t.co/MvdH8lHT6F
🌐 Site: https://t.co/2WM2gedwbi
@lojil192574 #LLM #Databases #AI #DB

[Prasang Upadhyaya @prup]

👇Some cool stuff from my team! We bring search to more modalities and applications with this release!

[Drew Houston @drewhouston]

We just rolled out our Spring ’25 release with some big updates to Dropbox Dash, our AI search and knowledge management product. Here’s what’s new:

📷 Search across video, audio, and images — no more digging for cryptic file names. You can even use Dash to search for people you work with.

(1/2)

[Drew Houston @drewhouston]

We just rolled out our Spring ’25 release with some big updates to Dropbox Dash, our AI search and knowledge management product. Here’s what’s new:

📷 Search across video, audio, and images — no more digging for cryptic file names. You can even use Dash to search for people you work with.

(1/2)

[Prasang Upadhyaya @prup]

@RohitSSJain @Twitter 🫡

[Prasang Upadhyaya @prup]

@sushnt Congratulations Sushant!

[Prasang Upadhyaya @prup]

@justinli_bj @thesteggie 😂

[Jeffrey Goldberg 🌻 @jpgoldberg]

I have never before criticized a competitor by name on the @1Password blog.

This is an exception.

https://t.co/E2K1pdUIXj

[Prasang Upadhyaya @prup]

@xiaohuyan Thank you for all you did to make Home a great team to be a part of. I was lucky to get to work with you!🫡

[Prasang Upadhyaya @prup]

@whoisxun Is this the one where they accidentally transfer 2x of your price and then ask for x back?

[Prasang Upadhyaya @prup]

(2/2) I leave Twitter with many fond memories and wish the best to the team who will continue taking Twitter to new heights in the challenging times ahead. #lovewhereyouworked 💙

[Prasang Upadhyaya @prup]

(1/2) After over 7 years, I resigned from Twitter last Friday. I got to work on many things here, but building the Home Timeline was the most fun I have had in my career. A large part of it was the amazing people I had the good fortune to collaborate with and who made me better.

[Prasang Upadhyaya @prup]

@Mishael40 @nabokov7 They left the base unspecified ;)

[Prasang Upadhyaya @prup]

@venusatuluri Amazing run Venu!

[Prasang Upadhyaya @prup]

@Cyan_Dai Very grateful that we got the chance to work together.

[Prasang Upadhyaya @prup]

@ghostM Sorry to hear that Mattie.

[Prasang Upadhyaya @prup]

@i_pascu Really enjoyed working with you! Excited to see what you do next and I wish you the best for it :)

[Prasang Upadhyaya @prup]

@satanjeev @__lucab Maybe writing SQL inside pandas. Or the other way round ;)

[Prasang Upadhyaya @prup]

@adityagp @ponderdata @pandas_dev @modin_project @lux_api Congratulations Aditya and team!

[Wenzhe Shi 🐕🐎 @trustswz]

We describe a method for maximising long term engagements by using model-based reinforcement learning. The policy is then used to make decisions about whether to send push notifications or not. More details are in the paper if you are interested. https://t.co/Ww6lKHoim9