Browse 1873 published reports from the community.
Draft memo taps AI data analysis biz for help with military production efficiency
30-billion parameter LLM, Meta's first in more than a year, signals Meta's return to the open weights arena. Open version of Muse Spark to follow
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. These startups are chasing the next big thing in LLMs Nine years after Google researchers introduced the transformer, this family of neural networks has become the engine inside every major large…
The number of AI generated uploads to CGTrader would suggest AI is taking over the platform, but buyers are refusing to pay for AI generated models.
"The future is for everyone," Zuckerberg says, describing future that is primarily good for Meta.
Deal to fund 'large' deployment of Nvidia's last-gen HGX B300 systems launching in Q1 2027
Kimsuky's phishing attacks get an AI boost
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last week, I headed 30 miles south of San Francisco to a hotel in Mountain View, California, to join some of the most accomplished, and some of the most promising, AI…
EU rules cited as reason for effort to trace AI output ancestry
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. AI for science needs reasoning, not just data —Eric Schmidt, the former CEO of Google and the cofounder of Schmidt Sciences, and Suhas Mahesh, who leads the AI for science work…
MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. Way back in the summer of 2017, AI researchers at Google put out a paper called “Attention Is All You Need,” in which they described a new…
Contributors wanted: 167B transparent tokens have a long way to go against AI giants' trillions