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.
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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Robotics
Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry out individual tasks raises a question: How can robots learn from other robots if they are built ...
Mar 30, 2026
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Computer Sciences
Even with all the recent advances in the ability of large language models (like ChatGPT) to help us think, research, summarize, and learn complex and technical texts, how do they fare in understanding storytelling and literature? ...
Mar 27, 2026
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Machine learning & AI
OpenAI's GPT models can often be fooled into declaring that "pseudo-literary" nonsense is great, a German researcher has found.
Mar 26, 2026
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Consumer & Gadgets
In a new study published in Science, Stanford computer scientists showed that artificial intelligence large language models are overly agreeable, or sycophantic, when users solicit advice on interpersonal dilemmas. Even when ...
Mar 26, 2026
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Consumer & Gadgets
To get the best out of AI, some users tell it to provide answers as if it were an expert. Others ask it to adopt a persona, such as a safety monitor, to guide its responses. However, this approach can sometimes hurt performance, ...
Consumer & Gadgets
Can using a large language model (LLM) make a person more creative? Prior work has shown that using LLMs can make creative outputs more homogeneous, but this homogenization could stem from the specific LLM used or from widespread ...
Mar 24, 2026
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