🧠 Robot Brains Advance, Generative AI Reality Check, Meta's GPU Leap
Today’s pick
Physical Intelligence Is Building a Brain for Robots. Physical Intelligence is building software intended to power robots that can learn a wide range of tasks. Since the earliest sci-fi books and films, computers imbued with artificial intelligence have almost always been accompanied by equally clever moving machines, like androids and other robots. Over the past 15 years or so, however, AI systems that work entirely in software have grown far more sophisticated than their moving counterparts. By Ashlee Vance via Bloomberg
𝕏: It's a two scoop kinda day. Welcome, world, to Physical Intelligence - a team of robotics and AI all-stars out to build a universal AI for machines. $70 million in !seed! funding from Thrive, Khosla, Lux and Sequoia - Ashlee Vance (@ashleevance)
Amazon, Google Quietly Tamp Down Generative AI Expectations. In the past year, major technology firms have championed generative artificial intelligence as the next big thing, boosting the stock market to new highs. But behind the scenes, representatives of major cloud providers and other firms that sell the Generative AI Providers Quietly Tamp Down Expectations. By Anissa Gardizy via The Information
𝕏: After a year of hype, the reality is emerging. Cloud clients aren’t buying generative AI tools because they’re expensive, lack accuracy, and it’s not clear what value they provide. Some analysts are already warning of a coming “trough of disillusionment.” - Paris Marx (@parismarx)
The best way to reach new readers is through word of mouth. If you click THIS LINK in your inbox, it’ll create an easy-to-send pre-written email you can just fire off to some friends.
Meta reveals details of two new 24k GPU AI clusters. Meta has shared the details of the hardware, network, storage, design, performance, and software that make up its two new 24,000-GPU data center scale clusters that the company is using to train its Llama 3 large language AI model. The new training clusters are based on Meta’s AI Research SuperCluster (RSC), which was unveiled in 2022. By Charlotte Trueman via DCD
𝕏: The computing infrastructure for Llama-3 training. - Yann LeCun (@ylecun)
Bluesky launches Ozone, a tool that lets users create and run their own independent moderation services. Decentralized Twitter/X rival Bluesky announced on Tuesday that it’s open sourcing Ozone, a tool that lets individuals and teams collaboratively review and label content on the network. The company plans to open up the ability for individuals and teams to run their own independent moderation services later this week, which means users will be able to subscribe to additional moderation services on top of Bluesky’s default moderation. By Aisha Malik via TechCrunch
AI news that's fit to print: The New York Times' new AI leader on what this powerful tech can do for journalism. AI journalism goes awry when it's unchecked, lazy, selfish and opaque. It's got to be vetted and motivated by what's best for readers," Zach Seward says. By Zach Seward via Reuters Institute
𝕏: "AI journalism should always be done with human oversight. It's humans first and humans last, with a little bit of powerful AI in the middle to make the difference" - Eduardo Suárez (@eduardosuarez)
Thanks for reading to the bottom and soaking in our Newslit Daily fueled with highlights for your morning.
I hope you found it interesting and, needless to say, if you have any questions or feedback let me know by hitting reply.
Take care and see you tomorrow!
P.S. Want to advertise with us? We’d love to hear from you.