Assertion Not checkable as stated
Biewald: 95% Of ML Developers Are Using OpenAI's GPT Models
“Like I see like 95% of the people out there, you know, using GPT for these ML tasks.”
Opinion
Biewald: There Are More Funded LLM Tools Than Production LLM Apps
“Very, very few people have LLMs in production. Like there's probably more companies that have raised money as like LLM tools than companies that have LLMs in production, which is like insane. It's just like an insanely saturated tools market with very few peop…”
Opinion
Biewald: Bayesian Networks Never Worked Well For Many Applications
“Daphne was actually really obsessed at the time with a thing called base nets, which you don't hear about too much anymore, because I don't think they ever really you know, worked for many applications. I hope I'm not offending anyone, but that's my understand…”
Assertion Not checkable as stated
Biewald: Most Modern LLMs Were Built Using Weights And Biases
“And we actually helped most of the LLMs out there were built using weights and biases.”
Insight
Biewald: Top-Down Enterprise Software Startups Cannot Transition to Product-Led Growth
“The early companies had to sell to executives, which I totally understand. Like that's what crowdflower had to do. And the problem there is you kind of get stuck in these like multimillion dollar deals and like, you just can't get out of that. Like you can't s…”
Opinion
Biewald: DevOps-Founded MLOps Startups Struggle to Connect with Ordinary Developers
“Every MLOps team then realizes they could raise like a shitload of funding, you know? And so like you got like every, every major company, their MLOps team like went off and like raised money to like make a new product in the market, which I think from an inve…”
Insight
Biewald: Closed-Source Telemetry Gives W&B A Massive UX Advantage
“There's been a major pro, which is that all our competitors are open source. And what that means is that they don't get to see how users actually use their software. And so I think our software is a lot more ergonomic because we have like metrics on what peopl…”
Insight
Biewald: Chasing Short-Term ARR Hurts A Startup's Next Quarter Growth
“I think everybody, like, chases, every entrepreneur chases, like, short-term, like, ARR numbers, like, in quarter, but then it, like, hurts your growth rate the next quarter. It's like, it would actually be better always to, like, push out deals, but, like, no…”
Opinion
Biewald: Founders Are Lying About Their Volume Of Customer Discovery Meetings
“I think people are all lying to each other about how much like actual kind of customer meetings they're doing.”
Insight
Biewald: Data-Driven ML Outperforms Linguistic Strategies In NLP
“My general sense is that these sort of like linguistic oriented strategies really don't work that well. It's kind of like by feeding more data in and sort of like Working on outcomes, you can figure these things out much better.”
Assertion Supported
Biewald: Scale AI Completely Ate Our Lunch In Self-Driving Data Labeling
“And then it was a funny experience cause like scale came along and totally ate our lunch on the, in the self-driving market, which is a market like I knew and loved.”
Insight
Biewald: Research code inevitably bleeds into production at every company
“I think companies have this idea that like the researchers are just going to like throw the thing over the fence and then it's going to be in production. But it doesn't really work actually. Like, I think that's a bad pattern that people sort of like imagine t…”
Assertion Supported
Biewald: No ML-Developed Drug Has Ever Completed Clinical Trials
“So no drug developed by ML has gone through clinical trials.”
Insight
Biewald: Nvidia Chips Forced ML Researchers To Become Software Developers
“When NVIDIA came along and these chips worked for deep learning, it just, like, broke the entire stack. Like, it was, like, a first time in my career where I'm, like, running into, like, linker errors. I'm like, what the fuck is a linker error? Like, I vaguely…”
Assertion Not checkable as stated
Biewald: Yahoo Search Success Depended Entirely On Local Training Data Quality
“The model that I'm building is like the same for each country. It's the training data though is different. So some countries would take the training data collection process really seriously and they'd get a great model. And some would just like really half-ass…”
Disclosure
Biewald: I Interned Briefly At OpenAI To Learn Modern Deep Learning
“I actually like interned briefly at OpenAI where I was just like, look, I will just do whatever, you know, work you want.”
Assertion Supported
Biewald: John Deere Has Deployed ML-Powered Targeted Weed Sprayers
“Like, you know, we worked with John Deere for years back from a figure eight days to, you know, weights and biases and they're, they've deployed sprayers that only target the weeds in, in fields. It's deployed.”
Disclosure
Biewald: Why I Turned Down Google To Join Yahoo
“I actually turned down an offer from Google because they didn't tell me what I would be working on to go to Yahoo because they were like, okay, you can work on, you know, search rank ranking in different languages.”
Lukas Biewald