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Submission + - Trump hosts AI CEOs about safety standards and renames AI "super-intelligence"

hcs_$reboot writes: Trump hosted the CEOs of OpenAI, Anthropic, Meta, Google, Nvidia and other tech companies at the White House. They agreed to voluntary AI-safety standards, including independent audits and safeguards against AI systems accessing or hacking technical systems in unintended ways. Trump also strongly backed continued rapid expansion of AI data centers, despite concerns over their electricity use and impact on local communities. He said he may create a 10-member board to oversee AI safety and plans to appoint a new White House AI-policy official.

The meeting comes amid growing concerns about AI agents behaving unpredictably and public pressure for stronger safeguards. A Reuters/Ipsos poll cited by Reuters found 73% of Americans felt AI companies had not done enough to prevent serious harm.
During the meeting, Trump also said he prefers to call AI “super-intelligence” rather than artificial intelligence.

Submission + - China's Top Spy Chief Warns AI Is a Threat to Party Rule (gvwire.com)

fjo3 writes: China’s top spy chief has warned that artificial intelligence could pose a direct threat to the Chinese Communist Party’s hold on power, in what is the highest-level and most detailed articulation yet of how Beijing sees the technology’s security risks.

The unusually blunt assessment by Chen Yixin, the head of China’s Ministry of State Security, is in contrast to the warnings dominating the AI debate in the United States, which have focused on the possibility that AI could slip out of human control or pose a threat to humanity itself.

In an article published Sunday in the state-run magazine China Cyberspace, Chen called for more party control over AI and stricter government oversight. This, he said, was necessary to protect political stability at home; to defend against increasingly sophisticated cyberattacks and misinformation campaigns from “hostile forces”; and to compete militarily with countries like the United States.

Comment We all know the real reason (Score 5, Insightful) 118

Training these models is incredibly expensive. In fact it's so expensive that there is no viable economic model to do so. As such, their options are either to drastically slow down the amount of new models trained or to go bankrupt. This is just a nice whitewashing of that. It remains to be seen if even using their models can be profitable, but we know that with the cost of training the next one they can't be.

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