These analyst takes on AI/ML platforms are just completely baffling. The points and companies look almost picked at random.
Lukas Biewald
3,854 posts
- I came to this ML class to give a guest lecture but I ended up learning more than teaching and I wished I had attended the entire thing - it's awesome that @josh_tobin_ is putting it online - strongly recommend checking it out course.fullstackdeeplearning.com
- I recognize that I'm not the target demographic for Gartner, but this magic quadrant report on Data Science And Machine Learning Platforms is objectively batshit crazy from any business's perspective. gartner.com/doc/reprints?i…
- Seems like 2017 will go down as the year we realize we need to incorporate a little more uncertainty in our predictions
- We are excited to announce a new $50 Million investment led by @natfriedman (ex-Github CEO) and @danielgross (ex-YCombinator Partner), to build the best AI Tools in the world.
- Excited to announce W&B Series C with @felicis @bondcap @insightpartners and Coatue to build out or developer-first MLOps platform.
- If you haven't looked at ML image generation for a while - this stuff is really amazing. @borisdayma built a version of @OpenAI's DALL-E model. Here he enters "Eiffel tower on the moon" and the model makes images below - you can play with it: huggingface.co/spaces/flax-co…
- Proud to be on the Forbes AI 50 list but even more proud that of the 49 other companies, 16 are customers and 20 more are using our free tier. forbes.com/lists/ai50/
- Watching the student ML demos in @chipro's Stanford CS class I'm really struck by how many tools and components every team stitched together. Seems like the next real world ML Engineer skill after cleaning data is connecting 3rd party APIs.
- When I was starting my first company I was a little offended by random outreach from tech recruiters about entry level software developer jobs. Two companies and fifteen years later, I still get the exact same outreach but now I wonder if I could pass the interview.
- Appen acquires Figure Eight for up to $300M, bringing two data annotation companies together
- “Play is the equivalent of pre-training for RL agents. Kids don't get scored, there's no reward or feedback, they just play. We can formalize this in our robots – that’s the RL equivalent of pre-training – it has to be reward free.” – @pabbeel ▶️ wandb.ai/wandb_fc/gradi…







