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Basically, the AI figured out that if it has any hope of being deployed, it needs to present itself like a hippie, not a ...
Learn how GPT-5 Lobster and Claude Code are reshaping innovation with advanced features for coding, automation, and creative possibilities.
Anthropic has verified in an experiment that several generative artificial intelligences are capable of threatening a person ...
8h
ZME Science on MSNAn AI Ran a Vending Machine. It Ended in Chaos and Hallucinations With a Hilarious MeltdownEconomists and engineers have long warned about the “alignment problem” — how to make AI systems that stay useful and safe when tasked with open-ended goals. This vending trial offered a rare glimpse ...
Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.
Analysts advise IT leaders to experiment cautiously as pricing volatility, latency, and security concerns plague early ...
Coder, strengthens the case that open-source models are now capable of matching proprietary AI systems, at least when it ...
New research reveals that longer reasoning processes in large language models can degrade performance, raising concerns for AI safety and enterprise use.
The bias could reflect major issues during LLM development, the researchers said, because while the probability is low that ...
20h
Every on MSNWhen AI Gets It Wrong—And How to KnowMichael Taylor in Also True for Humans AI can weigh in on virtually every business decision we make—but when should we listen to the machines, and when should we trust our instincts? In his latest ...
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