
Meta
The AIs are trying too hard to be your friend
Meta AI, ChatGPT, and the dangers of being glazed and confused
Founder and editor of Platformer, a publication about the intersection of tech and democracy. Prior to founding Platformer in October 2020, Newton was the longtime Silicon Valley editor of The Verge.
Meta
Meta AI, ChatGPT, and the dangers of being glazed and confused
Meta
Celebrities, minors, and sexually explicit chats are a dangerous combination — a lesson the company is determined to learn the hard way
Meta
The beleaguered body’s influence has been waning — and now its independence may be, too
Revelations that the company pursued pre-install deals for Gemini are giving the government fresh ammunition just as the trial heats up
After two blistering losses in court, a new era for the internet may be coming into view
Meta
And other revelations from day two of Meta's antitrust trial. PLUS: the OpenAI social network
Meta
More than four years after it was first filed, the government's case is only getting harder to prove
Trump
From Meta to Nvidia, tech CEOs are paying the president to get the outcomes they want — and it's working
Meta
"Llama con" just got a whole new meeting
Meta
Seemingly caught gaming a key benchmark, and defending allegations it taught to the test, Meta sees a rocky launch for its latest AI model
TikTok
Trump is holding out ByteDance's app as a bargaining chip. Will China take the bait?
AI
Scrapers caused the online encyclopedia's bandwidth to increase by 50 percent last year — and its plan to fight back may not be enough
OpenAI
A new book offers the most thorough explanation to date. Would it have mattered if we knew at the time?
Anthropic
Exclusive data from Anthropic about Claude usage finds that AI is both automating and augmenting human labor — and people are increasingly using it to educate themselves
AI
A parable about responsibility in the AI age
OpenAI
New research from OpenAI shows that heavy chatbot usage is correlated with loneliness and reduced socialization. Will AI companies learn from social networks' mistakes?