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AI might already be hiding its real capabilities. That’s what Dr. Roman Yampolskiy told Rogan in a podcast episode that will ...
Researcher Adam Dorr used examples like horses being superseded by cars to explain how humans will be overtaken by AI.
Amodei, 42, said governments and AI companies need to stop “sugar-coating” what the proliferation of AI could lead to — “the possible mass elimination of jobs across technology, finance ...
I do want to make this clear: None of our AI-extinction scenarios could happen by accident. Each would be immensely challenging to carry out. AI would somehow have to overcome major constraints.
He warned that U.S. unemployment could rise to 20% within one to five years. Entry-level, white-collar roles could be hit hardest, with up to half potentially eliminated as AI grows more capable ...
The positive predictive value was 23.6% versus 24.7%, the cancer detection rate per 1,000 examinations was 31.6 versus 30.9, and the interval cancer rate per 1,000 examinations was 4.2 versus 4.9 ...
Demand for AI could fizzle. ... Rhodium estimates that the continued reign of natural gas will lead to an additional 278 million metric tons of annual US carbon emissions by 2035 ...
Microsoft unveils multi-agent systems, WhatsApp integration, and Python-powered analytics for Copilot Studio at Build 2025, transforming how enterprises build and deploy AI solutions.
AI in Court. AI Hallucination in Filings Involving 14th-Largest U.S. Law Firm Lead to $31K in Sanctions The judge finds "a collective debacle"—possibly caused, I think, by two firms working ...
Scientists say that hiding secret messages using AI chatbots could lead to a world of iron-clad encryption. Comments ( 0 ) ( ) When you purchase through links on our site, we may earn an affiliate ...
China's Next-Level AI Could Overtake US: New Report. Published May 19, 2025 at 5:00 AM EDT Updated May 19, 2025 at 8:38 AM EDT. By . ... lead author William C. Hannas told Newsweek.
Current and former Meta employees fear the new automation push comes at the cost of allowing AI to make tricky determinations about how Meta's apps could lead to real world harm.
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