What's unsolved in generative AI?
mewelch.substack.com · 1,724 words · saved by 1 readers
Generative models are the talk of the town, but there are challenges (and opportunities) in this new paradigm.
Generative AI has taken the technology world by storm. While today’s generative models are built upon a decade of progress–thanks to Moore’s Law, better algorithms, and bigger datasets–2022 does feel like an “AlexNet” moment. In the way that computer vision breakthroughs meant computers could see, today’s computers can now create in ways never before thought possible, producing impressive text, imagery, video, 3D assets, and more. Much has already been written about the market opportunities for the Cambrian explosion of startups now emerging, which aim to remake everything from creative…
related reading
- A Primer on Generative AI (GenAI) - by Arun Raohashcollision.substack.com
- Generative AI’s Act Two | Sequoia Capitalsequoiacap.com
- GenAI Handbookgenai-handbook.github.io
- How to Build a Truly Useful AI Productevery.to
- Generative AI: A Creative New World | Sequoia Capitalsequoiacap.com
- The Building Blocks of Generative AIshriftman.substack.com
- Who Owns the Generative AI Platform? | Andreessen Horowitza16z.com
- Generative AI’s Act Two | Sequoia Capitalsequoiacap.com
- Responsible Generative AI Tutorialsites.google.com
- Scaling: The State of Play in AIoneusefulthing.org
- Things we learned about LLMs in 2024simonwillison.net
- Generative AI: A New Generation of AI - by Josh Houjoshhou.substack.com