We are presenting our position paper on end-to-end deep learning for relational databases! Collaboration between Stanford AI Lab and Kumo. RDL learns directly on structured data across multiple tables, eliminates the need for feature engineering, and extends AI use

🚀 Announcing RelBench: an open benchmark for deep learning on relational databases! RelBench is the foundational infrastructure for research in Relational Deep Learning (RDL), which brings modern AI to structured data. RelBench has databases, tasks, loaders, evaluators, and

We're launching our open-source AI guardrails framework on our AI gateway today. Been building it with inputs from 600+ teams who use the gateway in production and have collectively made 1.4 billion API requests on our hosted platform itself! trying our luck with an HN launch

A bit of an unstructured rant but I’m jet lagged in London so here goes.. I meet a lot of product builders who want to join hyper growth or promising startups and struggle to find any inroads. I ask them what have they done so far and the vast majority say they wrote a well

KDD 2024 (SIGKDD 2025) is almost here! Get ready for a week packed with cutting-edge research and groundbreaking insights in data science and AI. Make sure not to miss insightful sessions from my colleagues: - Graph Learning for Enterprise by Hema Raghavan - Responsible AI by

PyG 2.6 is here, including new models and examples on how to combine GNNs with LLMs! Thanks to many contributors who have made this release possible. Full release notes👇 github.com/pyg-team/pytor…

Excited to share that RelBench: Relational Deep Learning Benchmark paper was accepted to NeurIPS. Summarizing the study in one picture 📷 relbench.stanford.edu

🎉 PyTorch Frame, our open-source tabular deep learning framework, won the Best Paper Award 🏆 at Table Representation Learning @NeurIPS at NeurIPS Conference 2024! Huge congrats to Kumo PyG: Weihua Hu Yiwen Yuan Zecheng Zhang, Kaidi Cao, Vid Kocijan, Jinu Sunil, Jure Leskovec, and Matthias Fey! 🙌

When you’ve used any piece of software enough, the little glitches aren’t unnoticeable anymore. Resource constraints and conventional frameworks will never let you prioritize these issues ever. This. This is what is needed to make software beautiful for power users.

The reason top tech companies often hire foreign-born & first-generation engineers over “native” Americans isn’t because of an innate American IQ deficit (a lazy & wrong explanation). A key part of it comes down to the c-word: culture. Tough questions demand tough answers & if

I’ve said it countless times in the last 2 years & will say it again: the H-1B system is badly broken & should be replaced with one that focuses on selecting the very best of the best (not a lottery), pro-competitive (no indentured service to one company), and de-bureaucratized.

Steven Mackey The reason I’m in America along with so many critical people who built SpaceX, Tesla and hundreds of other companies that made America strong is because of H1B. Take a big step back and FUCK YOURSELF in the face. I will go to war on this issue the likes of which you cannot

insight dense content works well for newsletters, blogs, and podcasts but not for email and meetings. repetition is often required because not everyone was listening the (n-1)th time.

Reviewing a pitch with a B2B SaaS founder and apparently I was one of the few pushing for detailed usage data (workflows created, retention, editor vs viewer seats). Everyone else mostly cared about ARR ramp, NDR and pipeline. Call me a boomer but in this ARR-maxxing world, I

Whoever wins AI personalization wins the consumer. Nobody actually wants to work with multiple agents. Why everyone isn't scrambling to try and get more data and context from users right now to do better personalization is beyond me.

You know a startup has irrevocably become a corporation when a majority of its employees stop viewing their main job as winning in the market and start viewing it as meeting the expectations of their manager — and a majority of these managers are doing the exact same thing.

Great set of product announcements from OpenAI today—Enterprise Search (Glean), Meeting Notetaker (Granola), IDE (Windsurf)—what’s next? Calendar, Spreadsheet, Email? This validates that LLM is a commodity, and the real money/moat lies in the application layer.

obsessed that we rebranded building custom software for customers (the cardinal sin of b2b product management) into the new prestige tech job

How I feel after launching 5 instances of Claude Code..