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☆ This is the biggest question in AI right now
  + stars: | 2024-11-24 | by ( Lakshmi Varanasi | Lloyd Lee | ) www.businessinsider.com   time to read: +4 min
AdvertisementAI leaders are rethinking data-heavy training for large language models. Traditional models scale linearly with data, but this approach may hit a dead end. Now, AI leaders are rethinking the conventional wisdom about how to train large language models. The focus on training data arises from research showing that transformers, the neural networks behind large language models, have a one-to-one relationship with the amount of data they're given. The money going into AI has largely hung on the idea that this scaling law "would hold," Scale AI CEO Alexandr Wang said at the Cerebral Valley conference this week, tech newsletter Command Line reported.
Persons: Alex Voica, Mohamed, Alexandr Wang, It's, Aidan Gomez, Gomez, Richard Socher, we're, Kevin Scott, Waleed Kadous, Uber Organizations: Meta, Google, University of Artificial Intelligence, Command, Microsoft, Sequoia Capital's, OpenAI's o1, o1 Locations: University, ChatGPT, gpt
☆ Former Salesforce exec says artificial general intelligence should be able to set its own goals, and that's still a long way off
  + stars: | 2024-03-17 | by ( Lakshmi Varanasi | ) www.businessinsider.com   time to read: +1 min
AI experts hold varying views on the concept and timeline of artificial general intelligence, or AGI. AI expert Richard Socher said enabling AI to set its own goals would be a significant milestone. download the app Email address Sign up By clicking “Sign Up”, you accept our Terms of Service and Privacy Policy . AdvertisementIf you've been following developments in AI, you may have come across the term artificial general intelligence, or AGI. This story is available exclusively to Business Insider subscribers.
Persons: Richard Socher, Socher, we're, —, you've, we'll, OpenAI, it's Organizations: Service, Business
☆ Former Salesforce exec says large language models must learn how to code if they want to level up
  + stars: | 2024-02-12 | by ( Lakshmi Varanasi | ) www.businessinsider.com   time to read: +1 min
Former Salesforce exec Richard Socher spoke about AI models on a Harvard Business Review podcast. He said one way to improve AI significantly is to make it program responses — not just predict them. download the app Email address Sign up By clicking “Sign Up”, you accept our Terms of Service and Privacy Policy . On a Harvard Business Review podcast last week, Socher said we can level up large language models by forcing them to respond to certain prompts in code. This story is available exclusively to Business Insider subscribers.
Persons: Richard Socher, —, we've, Socher Organizations: Harvard Business, Service, Business
☆ Elon Musk wants to pause 'dangerous' AI development. Bill Gates disagrees—and he's not the only one
  + stars: | 2023-04-06 | by ( Tom Huddleston Jr. | ) www.cnbc.com   time to read: +3 min
AI developers, prominent AI ethicists and even Microsoft co-founder Bill Gates have spent the past week defending their work. "I don't think asking one particular group to pause solves the challenges," Gates told Reuters on Monday. A pause would be difficult to enforce across a global industry, Gates added — though he agreed that the industry needs more research to "identify the tricky areas." That's what makes the debate interesting, experts say: The open letter may cite some legitimate concerns, but its proposed solution seems impossible to achieve. It noted in its blog post that future AI systems could become "much more powerful" over the next decade, and building guardrails now could "help reduce risks" down the road.
☆ For tech giants, AI like Bing and Bard poses billion-dollar search problem
  + stars: | 2023-02-22 | by ( Jeffrey Dastin Stephen Nellis | Jeffrey Dastin | Stephen Nellis | ) www.reuters.com   time to read: +7 min
Executives across the technology sector are talking about how to operate AI like ChatGPT while accounting for the high expense. What makes this form of AI pricier than conventional search is the computing power involved. Still, footing the bill is one of two main reasons why search and social media giants with billions of users have not rolled out an AI chatbot overnight, said Paul Daugherty, Accenture's chief technology officer. Technology experts also said a workaround is applying smaller AI models to simpler tasks, which Alphabet is exploring. The company said this month a "smaller model" version of its massive LaMDA AI technology will power its chatbot Bard, requiring "significantly less computing power, enabling us to scale to more users."
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