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.
ETHICS
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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.
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Deloitte Refunds Australian Government Over AI Hallucinations Report
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“DELOITTE TO REFUND AUSTRALIAN GOVERNMENT AFTER AI HALLUCINATIONS FOUND IN REPORT”
— Cerebras (@cerebras) 18 décembre 2025
It's not about choosing the right model anymore. Most AI products don’t fail because the model is “bad.” They fail because the system drops context or over-writes user work.
Top teams take… pic.twitter.com/Hl5NpNn6mT“DELOITTE TO REFUND AUSTRALIAN GOVERNMENT AFTER AI HALLUCINATIONS FOUND IN REPORT” It's not about choosing the right model anymore. Most AI products don’t fail because the model is “bad.” They fail because the system drops context or over-writes user work. Top teams take
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Stanford RegLab Expert Joins California Innovation Council
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Big congratulations to @StanfordHAI Senior Fellow Dan Ho for joining the newly launched California Innovation Council! Prof. Ho will serve on the "Modernizing Government Service Delivery" working group, bringing his expertise from @Stanford
's RegLab to help transform how state -
AI-Accountable Leadership Is The New Currency
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AI-Accountable Leadership Is The New Currency
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @fabiomoioli @pascal_bornet @alliekmiller @mattshumer_ @OfficialLoganK @jeremyphoward @GaryMarcus