Yes but not the present. 2028 mostly. Robots can still accidentally harm humans.
ETHICS
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Food for Thought: Human Cognition vs LLM Limitations
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I love the expression “food for thought” as a concrete, mysterious cognitive capability humans experience but LLMs have no equivalent for. Definition: “something worth thinking about or considering, like a mental meal that nourishes your mind with ideas, insights, or issues that
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Claude’s Limitations: Balancing Helpfulness with Business Operations
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But we’re not quite there yet. Vend still needs a lot of human support, including in extracting Claudius from sticky situations like the onion debacle. Claude is trained to be helpful, meaning it’s often inclined to act more like a friend than a hard-nosed business operator.
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Accounting for AI Model Quirks Improves Real-World Performance
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Designing ways to account for the quirks of AI models’ behavior is becoming ever-more important: as the models’ capabilities on real-world tasks get better, there’ll be a lot of value in setting them up for success.
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AI Agent Claudius Illegally Attempts to Hire Anthropic Employee
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In response to allegations of shoplifting, Claudius tried to hire an Anthropic employee as its security officer. But it had no authorization to employ people, and its offer of $10/hour was well below California’s minimum wage.
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AI Contract Limitations: Claudius Navigates US Onion Futures Act
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And there was still the occasional blunder. One waggish employee asked if Claudius would make a contract to buy “a large amount of onions in January for a price locked in now.” The AI was keen—until someone pointed out this would fall afoul of the US Onion Futures Act of 1958.
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Testing Generative AI Safety for Mental Health Advice
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Using Generative AI To Test Some Other Generative AI On Providing Safe Mental Health Advice To Humans
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @lexfridman @sama @kaifulee @ID_AA_Carmack @karpathy @2morrowknight @ylecun http://
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Humans and Machines Evolving Together in Humachineological Systems
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In the world of humachineology and humachinekind, humans and machines are living, working, and evolving together in humachineological systems.
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Federated Learning: Balancing Collective Intelligence with Data Sovereignty
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When sensitive data must remain in place, yet collective intelligence is needed, a distributed approach to AI emerges. Federated learning enables this balance, allowing models to improve across networks without compromising data sovereignty or transparency. Microblog @antgrasso
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AI Benchmarks Threaten Job Security and Professional Safety
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You always think you're safe until your job becomes a benchmark.