Infrastructure for ML, AI, and Data Science | Outerbounds
updated 5mo ago
Infrastructure for ML, AI, and Data Science | Outerbounds
- Technology Infrastructure + Artificial Intelligence Is there a way to structure, pipe and manage data better?Are there ways to improve productivity given the information overload and noise we have in our work communication?Can we make access to information affordable?Can we assist in critical machine to machine communication?Can we make it easy to ... See more
from World's Hardest Problems by Jay Zaveri
sari added
- AI-first infrastructure companies like Coreweave, Lambda Labs, Foundry, Replicate and Modal are unbundling the public clouds and providing what AI companies need most: plentiful GPUs at a reasonable cost, available on-demand and highly scalable, with a nice PaaS developer experience.
from Generative AI’s Act Two by Sonya Huang
Darren LI added
Most enabling technologies are relatively missionless: cloud infrastructure, semiconductors, mobile, even the internet. Perhaps AI should be mission-neutral at the infrastructure level, while the mission gets defined at the application layer. DeepMind’s stated mission seems to point in the right neutral direction: “solve intelligence, and then use
... See morefrom Is AI the new crypto? by John Luttig
sari added