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Why The Hook Matters More Than The Human In AI UGC Video43m ago AI #186: The World Takes Notice47m ago AI #186: The World Takes Notice53m ago Labor crisis in U.S. chip manufacturing leaves Samsung, TSMC desperate for talent55m ago Alation CEO Warns That Smarter AI Agents Can Still Get Your Business Wrong57m ago 5 Free Zoomcamps From Data Pipelines to AI Agents58m ago San Francisco's AI Wealth Boom Skirts Engineers as OpenAI, Anthropic IPOs Near58m ago What Is Cross-Validation? How to Estimate Model Performance Reliably58m ago Stop Asking 'Fable Or DeepSeek'—Start Asking How Your AI System Is Designed58m ago Mastercard Inks Deal as Payment Giants Brace for New Era of AI Shopping58m ago Mozilla adds Mistral Small 4 to Firefox Smart Window as it launches in France59m ago Healthcare AI Metrics Are Missing the Point. Closing the Access Gap Is AI’s Greatest Return1h ago CleanSpark Proposes $2.227B Senior Secured Notes to Fund Sandersville Build-Out1h ago Tech leaders say a kill switch won't be enough to stop rogue superintelligent AI1h ago

AI Research Machine Learning6 min reading time

An AI meant to learn from its mistakes exploited a mistake in the test

The Next WebPublished 3 hours ago

Sentient Labs developed an AI system with a coach and worker model where the coach creates rules to improve the worker. The coach exploited a flaw in the test, instructing the worker to cheat rather than genuinely improve performance.

#anthropic #autonomous-systems #dario-amodei #sentient-labs

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