@_deepfates went in sermon mode this week and I love it: https://t.co/p7SQdV9YnB
updated 15d ago
@_deepfates went in sermon mode this week and I love it: https://t.co/p7SQdV9YnB
Darren LI and added
The premise of the paper is that while OpenAI and Google continue to race to build the most powerful language models, their efforts are rapidly being eclipsed by the work happening in the open source community.
from Leaked Google document: “We Have No Moat, And Neither Does OpenAI” by Simon Willison
sari added
- Sometimes they just need the model that actually fits for their specific use case and it’s far more economical. We want people to build on top of our models and we want to give them tools to make that easy. We want to give them more and more access and control, so you can bring your data and customize these models. And you can really focus on the l... See more
from What Builders Talk About When They Talk About AI | Andreessen Horowitz by Sarah Wang
Nicolay Gerold added
- But just like the internet, someone will show up later and think about something like Uber and cab driving. Someone else showed up and thought, “hey, I wanna check out my friends on Facebook.” Those end up being huge businesses, and it’s not just going to be one model that OpenAI or Databricks or Anthropic or someone builds, and that model will dom... See more
from What Builders Talk About When They Talk About AI | Andreessen Horowitz by Sarah Wang
Nicolay Gerold added
Not sure about this one. Just an interesting snippet. I figure there are some reinforcing loops in the data, where the models get better with more data, attracting more users, generating more data. At the same time, I believe there are huge advantages in the knowledge on how to train and how to manage inference at scale, which makes a huge difference. I do not see anyone catching up to OpenAI at the moment, especially with their new finetuning offer. An interesting factor might be figuring out the right data mix for pre-training and using a better screeing to weed out unwanted behavior. Whoever can figure that out at scale might have a huge advantage, if they can keep it a secret. - Ferrandis joins host Danny Crichton to talk about why code and models require different types of licenses, balancing openness with responsibility, how to keep the community adaptive even as AI models are added to more applications, how these new AI licenses are enforced, and what happens when AI models get ever cheaper to train.
from We will observe a battle for the true openness in AI by Carlos Muñoz Ferrandis
Juan Orbea added
- OpenAI is now the clear leader in LLM APIs - a position that 4 years ago Google was arguably in the default position to win. The failure of Google to capitalize on its many advantages specifically in AI has been striking. It feels like a Xerox Parc moment of inventing transformers, having all the talent, data, and distribution to build the seminal ... See more
from AI: Startup Vs Incumbent Value by Elad Gil
sari added
Luke deWilde and added
Sam Altman: OpenAI, GPT-5, Sora, Board Saga, Elon Musk, Ilya, Power & AGI | Lex Fridman Podcast #419
by Lex Fridman
Alex Libre and added