Arc is making a whole new layer on top of the internet. Super interesting stuff
“we auto create APIs based on structured data from webpages and applications. "if you can see it then we can create an API for it."”
Interesting experiment from Google that creates an NPR-like discussion about any academic paper.
It definitely suggests some cool possibilities for science communication. And the voices, pauses, and breaths really scream public radio. Listen to at least the first 30 seconds. https://t.co/r4ScqenF1d
📢 Just released: The latest report on the fourth wave of #OpenData!
Discover the diverse scenarios for open data and generative AI in this insightful study by @sverhulst and Hannah Chafetz from @TheGovLab.
Learn more here 👉 https://t.co/wvpQrU1WH4 https://t.co/p5dFN6mEVo
Cool experiment where researchers assemble an AI translation “company” with AI agents with simulated backgrounds filling various roles, from editors to proofreaders.
The AI “company” creates accurate translations of Chinese web novels that people prefer to GPT-4, and human, ones https://t.co/7lxg2jEjZi
I think if you care about the debates over ethics & AI, it is worth reading the OpenAI Model Spec.
It is the first comprehensive attempt to actually lay out the practical principles under which AI operates, by a lab actually building them. Lots there. https://t.co/pca263IXzZ https://t.co/BTLGmXmngD
In 2019, OpenAI announced GPT-2 with this post:
https://t.co/jjP8IXmu8D
Today (~5 years later) you can train your own for ~$672, running on one 8XH100 GPU node for 24 hours. Our latest llm.c post gives the walkthrough in some... See more
Cody now has a mechanism for pulling in context from *outside* the codebase!
Introducing OpenCtx, a protocol for providing relevant technical context to humans and AI. This builds on Sourcegraph's foundation as the world's best code search and connects our code graph to entities like issues, designs, technical docs,... See more