Large language models are high-capacity neural sequence models trained on massive text and multimodal corpora to perform language understanding, generation, and reasoning. Current work examines their internal representations, cognitive and social behavior analogies to humans, and limitations in mathematical, causal, and strategic reasoning. Research also addresses alignment with human values and brain activity, safety and security vulnerabilities, privacy and de-anonymization risks, cross-lingual and sociocultural biases, scaling and efficiency laws, and frameworks for tool use, multi-agent interaction, and domain-specific deployment.
Consumer & Gadgets
Many people are interacting with AI large language models, and most of them would say the models have different "personalities." Some models come across as calm and useful. Others feel eager, flattering or strangely cold. ...
Apr 13, 2026
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Machine learning & AI
I was at my clinic the other day and asked an AI assistant about the differential diagnosis of a rash in a child. A routine question. The response came back clear and sensible. And then it added, "Are you asking about one ...
Apr 13, 2026
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Consumer & Gadgets
Use of ChatGPT, Claude and other large language models, or LLMs—what most people call "AI"—has surged since ChatGPT debuted publicly in 2022. Hundreds of millions of people now use these tools weekly, according to recent ...
Apr 10, 2026
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Machine learning & AI
Meta on Wednesday released an artificial intelligence model, Muse Spark, it touts as smarter and faster than what it offered before shaking up its Superintelligence Labs unit.
Apr 9, 2026
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Business
Anthropic CEO Dario Amodei has said that AI could surpass "almost all humans at almost everything" shortly after 2027. While AI's capabilities are certainly improving, such rapid progress might seem at odds with findings ...
Apr 2, 2026
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Machine learning & AI
A team from the Universitat Politècnica de València, part of the Valencian University Research Institute for Artificial Intelligence (VRAIN) and ValgrAI, has participated in the development of ADeLe, a new methodology that ...
Apr 2, 2026
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Computer Sciences
Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until the system becomes inherently unfair. This is complicated by the problem of identifying where the ...
Apr 2, 2026
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Robotics
Over the past few decades, robotics researchers have developed a wide range of increasingly advanced robots that can autonomously complete various real-world tasks. To be successfully deployed in real-world settings, such ...
Machine learning & AI
James Zou is a computer scientist at Stanford University who has been exploring how large language models (LLMs) can assist scientific peer review—and more broadly, how AI agents might accelerate research. It is a provocative ...
Mar 31, 2026
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Machine learning & AI
Peter Steinberger's artificial intelligence agent tool OpenClaw has taken the tech world by storm with its ability to execute real-life tasks such as checking him in for his flight to Tokyo.
Mar 30, 2026
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