intelligence ≠ consciousness. for a proper critique of what Dawkins actually got wrong: https://
open.substack.com/pub/garymarcus
/p/richard-dawkins-and-the-claude-delusion?r=8tdk6&utm_campaign=post-expanded-share&utm_medium=web
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@garymarcus
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Intelligence vs Consciousness: Critique of Dawkins on Claude AI
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Jensen Huang’s AGI Claim Six Weeks Later: Still No Change
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It’s been almost six weeks since Jensen Huang claimed we had achieved AGI. Why don’t I feel any different?
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Studies Show Most Companies See Low AI ROI
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after you factor out weeding out the slop, benefits just haven’t been that great many studies show most companies don’t get much RoI for AI (coding might be different)
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Little Evidence LLMs Improve Patient or Doctor Health Outcomes
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“In summary, there is very little evidence for LLMs benefiting patients or doctors for health outcomes” – Dr. @EricTopol Read his full review here: https://
open.substack.com/pub/erictopol/
p/the-paradox-of-medical-ai-implementation?selection=0babca4b-a31e-4e24-897e-37b939fd3b92&r=8tdk6&utm_medium=ios
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Domain-Specific Neurosymbolic AI Offers More Hope Than LLMs for Science
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Agreed with the first part, but I think the nuanced part is what you mean by “this technology”. AI may help all of this, but pure, domain-general LLMs per se probably won’t. Domain-specific neurosymbolic hybrids offer more hope for science than chatbots do. See my October NYT
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Meta Used Open Source as PR Then Went Closed Again
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Meta bootstrapped China, reaped the positive PR for being “open”, and then went back to being closed.
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Growing AI Backlash: GenAI as Net Negative for Society
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Why is the AI backlash growing? Outside of coding (where there is clear value), and a handful of other domains (e.g. brainstorming), Generative AI has been a net negative for society. GenAI has been undermining secondary and college education, opening up mass surveillance,
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Distribution Shift Remains the Key Challenge to Win AI
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Whoever solves the problem of distribution shift first wins.
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Neurosymbolic AI Will Outperform Pure LLMs in AI Race
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Neurosymbolic AI (rather than pure LLMs) will win the AI race.
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Claude’s Alignment Problem: Ignoring User Background Beliefs
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This is actually a version of an alignment problem. Humans have background beliefs (don’t waste large sums of money without telling me) and Claude doesn’t respect those. Caveat emptor.