61.
63.
65.
Judicious use of LLMs could speed up progress in the social sciences
(feeds.nature.com)
66.
Large language models can predict the results of social science experiments
(feeds.nature.com)
67.
68.
Why the rise of open source AI isn’t hurting Anthropic … yet
(techcrunch.com)
69.
70.
71.
72.
73.
Small AI Models Gain Traction In places with unreliable networks
(news.ycombinator.com)
74.
76.
Anthropic's Method to Losing Goodwill in a Few Easy Steps
(news.ycombinator.com)
77.
Build for the new AI era with Microsoft and NVIDIA
(venturebeat.com)
78.
79.
80.
81.
I self-hosted PewDiePie’s Odysseus AI workspace, and it’s surprisingly brilliant
(androidauthority.com)
82.
The only AI glossary you’ll need this year
(techcrunch.com)
83.
Chinese LLMs Broaden the Gap Between Attackers & Defenders
(darkreading.com)
84.
Opinion | AI and the English Language
(feeds.content.dowjones.io)
86.
How Trump’s Anthropic whiplash has helped China
(feeds.feedburner.com)
87.
Cisco Has 90,000 Employees. Each of Them Will Soon Have Their Own AI Agent.
(feeds.feedburner.com)
88.
Show HN: CLI tool for detecting non-exact code duplication with embedding models
(news.ycombinator.com)
90.
AI companies want to pick your brain for cash
(feeds.feedburner.com)