Urgent.News

What's breaking now, across thousands of outlets.

AI

AI’s top leaders, like children afraid of a bully

A moment on the White House lawn next to Donald Trump can feel eternal: the president humiliated some of the planet’s richest and most powerful figures

AI’s top leaders, like children afraid of a bully

Donald Trump made disparaging remarks about Sundar Pichai, Google's CEO, calling him a "monster" in front of reporters. The encounter occurred during a meeting with top AI industry leaders at the White House. The purpose of the meeting was for the big tech firms to self-regulate AI without government intervention. Trump's behavior towards the executives seemed more like that of a child handling a bully.

Former OpenAI CEO Sam Altman and Anthropic co-founder Dario Amodei seemed nervous during the meeting. Trump joked about Pichai's Indian name and treated the executives like children, whispering juvenile jokes to them. Elon Musk appeared visibly upset, suggesting he was offended by the president's actions. The agreement signed by the AI industry leaders emphasized self-regulation and downplayed the need for government involvement.

Nvidia CEO Jensen Huang, who was present at the meeting, advocated for a more pragmatic approach, asserting that if AI companies have doubts about their safety, they should not release the products.

Written by urgent.news from El Pais English's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at english.elpais.com →

More in AI

Your AI chatbot isn't hallucinating. It's reading your outdated docs.

When a support chatbot gives a wrong answer, the first instinct is to blame the model. But when I looked at how these failures are described in support and operations communities, a different pattern…

  • Chatbots provide inaccurate info, causing frustration
  • Outdated documentation is main culprit, not hallucination
  • Knowledge Freshness Audit tool identifies fixes

Grok 4.7 pricing: same $2/$6 per token, double the cost per task

Grok 4.7 costs exactly what Grok 4.6 did per token: $2 per million input tokens and $6 per million output. Per task, it costs about double.

  • Grok 4.7 pricing unchanged at $2/$6 per million tokens
  • Task cost doubled to $3.74 from $1.86 per task
  • Output speed reduced to 57 tokens per second

More from Sunday 4 October →