Weights & Biases, every mention
19 scenes, the whole family · ← back to Weights & Biases
tap a year for its mentions
every year anyone Shawn Lewis 12Kyle Corbitt 6Ankur Goyal 3Suhail Doshi 2Ben Firshman 2Shawn Wang 1Jerry Liu 1Emily Glassberg Sands 1Alessio Fanelli 1
Verbatim, from the transcripts: the passages where Weights & Biases comes up
Anthropic’s Felix Rieseberg on AI Coworkers, Local-First Agents, and the Future of Knowledge Work
- ▶ 52:20 Shawn Wang It's when it's looking at TensorBoard and weights and bias and training things.
[State of AI Papers 2025] Fixing Research with Social Signals, OCR & Implementation — Team AlphaXiv
- ▶ 6:12 unnamed speaker So, I think for the first year or two of working on it, it was a project, and what really forced that transition for us was we were looking at, you know, papers with code, weights and biases, hugging face, and we're like, okay, we have a,
The Agents Economy Backbone - with Emily Glassberg Sands, Head of Data & AI at Stripe
- ▶ 1:13:58 Emily Glassberg Sands We also love, like, weights and biases, um, flight, Kubernetes, like, sort of, like, sort of, like, the basic stack you can think of.
Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
- ▶ 1:00:24 Kyle Corbitt So that was driven by actually mostly the weights and biases founding team. 6 times in the scene
The #1 SWE-Bench Verified Agent
- ▶ 1:19 Alessio Fanelli Agent, the troning the weights and biases one that we previously featured?
Beating OpenAI and Anthropic by Looking At Data: the new #1 on SWE-Bench w/ W&B CTO Shawn Lewis
- ▶ 0:19 unnamed speaker It's, uh, Sean Lewis from Ways and Biases. 4 times in the scene
- ▶ 2:58 Shawn Lewis And then eventually when we started Weights and Biases, those concepts were like first and foremost in my mind.
- ▶ 5:07 unnamed speaker I saw in your X thread about the, the agent that you obviously use weave and some of the stuff you already had. 2 times in the scene
- ▶ 6:05 Shawn Lewis Um, and people use our lots of people actually use weights and biases prior to the advent of, you know, um, more like LLM application tools, like we even, and others for, for evals. 3 times in the scene
- ▶ 9:08 Shawn Lewis I was using our tools weave, which are really good at like tracing and actually running evals for you. 4 times in the scene
- ▶ 9:44 Shawn Lewis And this kind of looks like the WMB workspace. 2 times in the scene
- ▶ 14:03 Shawn Lewis I think, you know, it's also just incredibly valuable to us at Weights and Biases to understand how the new models work, right?
- ▶ 19:48 Shawn Lewis All this data is like permanently kind of stored in Weave here in WMB, so.
- ▶ 30:54 unnamed speaker Again, I, I won't, I won't say who this is from, but I did talk to one of the other people who, you know, is in the arena on, on Seabatch Verified, and they were like, oh, what do you think about, you know, this weights and biases one, and…
- ▶ 32:32 unnamed speaker Um, you know, I, I'm sure, I'm sure, you know, the roadmap for two to eight five is still very up in the air, but if we are going to see more agents work from Ways and Biases, I think the world would really welcome it.
Production AI Engineering starts with Evals
- ▶ 33:17 Ankur Goyal I remember when I was first acclimating to this problem, I used, I had to learn how to use hugging face and weights and biases. 3 times in the scene
A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
- ▶ 25:11 Ben Firshman We made a thing which was an open source weights and biases. 2 times in the scene
The AI-First Graphics Editor - with Suhail Doshi of Playground AI
- ▶ 13:08 Suhail Doshi Obviously weights and biases. 2 times in the scene