One night in May 2020, during the height of lockdown, Deep Ganguli was worried.
Ganguli, then research director at the Stanford Institute for Human-Centered AI, had just been alerted to OpenAI’s new paper on GPT-3, its latest large language model. This new AI model was potentially 10 times more advanced than any other of its kind – and it was doing things he had never thought possible for AI. The scaling data revealed in the research suggested there was no sign of it slowing down. Ganguli fast-forwarded five years in his head, running through the kinds of societal implications he spent his time at Stanford anticipating, and the changes he e …
Read the full story at The Verge.
Original Source: https://www.theverge.com/ai-artificial-intelligence/836335/anthropic-societal-impacts-team-ai-claude-effects
Original Source: https://www.theverge.com/ai-artificial-intelligence/836335/anthropic-societal-impacts-team-ai-claude-effects
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