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All remote cognitive jobs, done using only a laptop setup, is most exposed to be automated or heavily reduced by AI. ~ Shane Legg, Chief AGI Scientist and co-founder of Google DeepMind ---- Full video from 'Google DeepMind and Hannah Fry' YT channel (link in comment)

Rohan Paul

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81,582 次观看 • 8 个月前 •via X (Twitter)

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After 2️⃣5️⃣ years Google, our Chief Scientist and co-lead of the Gemini foundation model, Jeff Dean has a unique insight into the past, present and future of AI. Listen in to his conversation with Professor Hannah Fry on the latest episode of Google DeepMind: The Podcast ↓

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Shane Legg, Chief AGI Scientist and co-founder of Google DeepMind, calls the human brain a "mobile processor" compared to what’s coming. - The human brain is essentially a low-power, 20-watt mobile processor constrained by biology. - While our internal neural signals crawl at just 30 meters per second, AI data travels at the speed of light. - Biological neurons typically fire at rates up to 100–200 Hz (with averages much lower, around 0.1–2 Hz, and some peaking at ~450 Hz), whereas modern silicon chips operate at clock speeds typically up to 6 billion Hz. i.e. Silicon is about 60million times faster - The physical gap is astronomical: AI hardware possesses a 6 to 8 order of magnitude advantage in speed, bandwidth, and scale. - Is human intelligence the universal upper limit? Shane Legg argues "absolutely not." - Just as humans cannot physically outlift a crane or outrun a dragster, our biological cognition cannot compete with industrial-scale compute. - As we master the architecture of intelligence, AI is mathematically destined to far exceed the capabilities of the human mind. --- From 'Google DeepMind and Hannah Fry' YT Channel (link in comment)

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