Researchers found that even a roughly seven-minute conversation with Google Gemini can reduce conspiracy beliefs about current crises, even when few verified facts are available. The effect beat a static fact sheet and, in follow-up surveys weeks later, carried over to beliefs about entirely different events.

The article Seven minutes with a chatbot beat a fact sheet at reducing conspiracy beliefs in two experiments appeared first on The Decoder.

Nvidia's PAIR (Personal AI Router) automatically spreads local AI requests across all available devices on a home network, cutting wait times for parallel agent tasks.

The article Nvidia wants your home network to work like a mini data center for local AI appeared first on The Decoder.

World Labs, co-founded by AI researcher Fei-Fei Li, has announced Atlas, a world model that generates, reconstructs, and simulates 3D scenes from just a few images. The company claims it beats specialized models by anchoring all inputs in 3D space rather than processing them as flat sequences. Atlas can also generate robot training data entirely in simulation.

The article World Labs unveils Atlas, a single AI model that generates, reconstructs, and simulates 3D worlds from just a few photos appeared first on The Decoder.

Google is adding agent-based video analysis to Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. Instead of scanning videos frame by frame at a fixed rate, the model decides on its own which segments to examine and at what resolution. Google says this cuts token usage by up to 88 percent while improving accuracy, especially for multi-hour footage.

The article Google Gemini's new agent-based video analysis cuts token usage by up to 88 percent appeared first on The Decoder.

Even if language models worked perfectly, they could make research worse, not better. A new theoretical study argues that because AI saves time, researchers' remaining hours become more valuable and get funneled into starting new projects instead of improving existing ones. In two out of three modeled scenarios, the quality of individual publications drops.

The article AI could make scientists do more work less well, not less work better, study argues appeared first on The Decoder.

Current world models like Sora or Genie only simulate physics and ignore what people think, want, or feel. The new "Mental World Modeling" framework adds mental variables like beliefs and intentions. Even weaker language models using this approach outperform stronger models without mental modeling. The biggest bottleneck: predicting how physical and mental states change together.

The article World models that ignore human beliefs predict the wrong actions, new research shows appeared first on The Decoder.

Netflix pitted its years-old recommendation engine against an in-house language model called GenRec and says it got better results. Instead of relying on thousands of hand-crafted features, GenRec converts viewing behavior into plain text. Netflix itself calls it "an early but promising step."

The article Netflix tests language model as alternative to hand-built recommendation logic appeared first on The Decoder.

Researchers at the UK AI Security Institute used psychometric methods to show that popular safety benchmarks for language models don't measure one consistent trait. Blanket blocking of requests can artificially inflate a safety score even as the model gets less useful day to day. The study also offers a method for catching models that act more cautious during tests than they do in normal use.

The article Psychological methods reveal major weaknesses in AI security testing appeared first on The Decoder.