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In the BCG study, participants using OpenAI’s GPT-4 for solving business problems actually performed 23% worse than those doing the task without GPT-4. Read more here . Other news below.
The company is among those pioneering “neurosymbolic AI” approaches as a way to overcome the limitations of today’s deep-learning-based generative AI technology. (Alex Flynn—Bloomberg ...
In a study that colleagues and I conducted, a company with a call center did a phased rollout of a large language model—generative AI—that gave suggestions to some of the workers [as they ...
Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...
AI alignment is an open problem for modern AI systems [39] [40] and is a research field within AI. [ 41 ] [ 1 ] Aligning AI involves two main challenges: carefully specifying the purpose of the system (outer alignment) and ensuring that the system adopts the specification robustly (inner alignment). [ 2 ]
The letter highlights both the positive and negative effects of artificial intelligence. [7] According to Bloomberg Business, Professor Max Tegmark of MIT circulated the letter in order to find common ground between signatories who consider super intelligent AI a significant existential risk, and signatories such as Professor Oren Etzioni, who believe the AI field was being "impugned" by a one ...
AI chipmaker Nvidia is one of the market’s hottest stocks. AI is becoming so big, it is striking fear into politicians worried about societal effects of having computers run so much of our lives.
Researchers at Google have proposed research into general "AI safety" issues to simultaneously mitigate both short-term risks from narrow AI and long-term risks from AGI. [ 150 ] [ 151 ] A 2020 estimate places global spending on AI existential risk somewhere between $10 and $50 million, compared with global spending on AI around perhaps $40 ...
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