Big Tech faces financial reckoning if human-level AI doesn’t happen soon
Sequoia Capital says the industry needs to make up about $600 billion in profit before the current expenditure starts to make sense. Go to Source
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Sequoia Capital says the industry needs to make up about $600 billion in profit before the current expenditure starts to make sense. Go to Source
The problem has since been resolved, but it begs the question of how such an oversight happened in the first place. Go to Source
It’s unclear whether the judge in the case is considering the request, but the New York Times had a strong response to the request. Go to Source
Softbank Group stocks reached an all-time-high on a market capitalization of $97.2 billion. Go to Source
Charles Hoskinson, co-founder of Cardano, raises concerns over AI censorship and the selective training of AI systems at the hands of the big tech companies developing the models. Go to Source
Aside from being wary about which AI services you use, there are other steps organizations can take to protect against having data exposed. Go to Source
The nonprofit suing OpenAI produces the Mother Jones and Reveal news websites. Go to Source
The AI-generated ad whipped up backlash from viewers who described it as a “weird dream” and “baffling.” Go to Source
Compute costs for AI are going up. Incentive-network-driven compute could be the key to saving you and your investors millions of dollars. Go to Source
The Kip Web3 AI base layer previously closed an undisclosed funding round from Animoca Brands in April. Go to Source