AI is a relatively new tool, and despite its rapid deployment in nearly every aspect of our lives, researchers are still trying to figure out how its “personality traits” arise and how to control them. Large learning models (LLMs) use chatbots or “assistants” to interface with users, and some of these assistants have exhibited troubling behaviors recently, like praising evil dictators, using blackmail or displaying sycophantic behaviors with users. Considering how much these LLMs have already been integrated into our society, it is no surprise that researchers are trying to find ways to weed out undesirable behaviors.AI is a relatively new tool, and despite its rapid deployment in nearly every aspect of our lives, researchers are still trying to figure out how its “personality traits” arise and how to control them. Large learning models (LLMs) use chatbots or “assistants” to interface with users, and some of these assistants have exhibited troubling behaviors recently, like praising evil dictators, using blackmail or displaying sycophantic behaviors with users. Considering how much these LLMs have already been integrated into our society, it is no surprise that researchers are trying to find ways to weed out undesirable behaviors.[#item_full_content]

AI is a relatively new tool, and despite its rapid deployment in nearly every aspect of our lives, researchers are still trying to figure out how its “personality traits” arise and how to control them. Large learning models (LLMs) use chatbots or “assistants” to interface with users, and some of these assistants have exhibited troubling behaviors recently, like praising evil dictators, using blackmail or displaying sycophantic behaviors with users. Considering how much these LLMs have already been integrated into our society, it is no surprise that researchers are trying to find ways to weed out undesirable behaviors.AI is a relatively new tool, and despite its rapid deployment in nearly every aspect of our lives, researchers are still trying to figure out how its “personality traits” arise and how to control them. Large learning models (LLMs) use chatbots or “assistants” to interface with users, and some of these assistants have exhibited troubling behaviors recently, like praising evil dictators, using blackmail or displaying sycophantic behaviors with users. Considering how much these LLMs have already been integrated into our society, it is no surprise that researchers are trying to find ways to weed out undesirable behaviors.Computer Sciences[#item_full_content]

Final call: TechCrunch Disrupt 2025 ticket savings end tonight

TechCrunch Disrupt 2025 marks 20 years of shaping the startup world — and tonight’s your last chance to save up to $675 on your ticket. From October 27–29, Disrupt returns to Moscone West in San Francisco. Join 10,000+ tech innovators, founders, VCs, and ecosystem builders for three days of high-impact programming, networking, and startup energy. […]TechCrunch Disrupt 2025 marks 20 years of shaping the startup world — and tonight’s your last chance to save up to $675 on your ticket. From October 27–29, Disrupt returns to Moscone West in San Francisco. Join 10,000+ tech innovators, founders, VCs, and ecosystem builders for three days of high-impact programming, networking, and startup energy.[#item_full_content]

Imagine if you could peer into the future of a machine—track its wear and tear, predict when it might fail, and fine-tune its performance—all without touching it.Imagine if you could peer into the future of a machine—track its wear and tear, predict when it might fail, and fine-tune its performance—all without touching it.Engineering[#item_full_content]

OpenAI on Tuesday released two new artificial intelligence (AI) models that can be downloaded for free and altered by users, to challenge similar offerings by US and Chinese competition.OpenAI on Tuesday released two new artificial intelligence (AI) models that can be downloaded for free and altered by users, to challenge similar offerings by US and Chinese competition.Machine learning & AI[#item_full_content]

Just like when multiple people gather simultaneously in a meeting room, higher-order interactions—where many entities interact at once—occur across various fields and reflect the complexity of real-world relationships. However, due to technical limitations, in many fields, only low-order pairwise interactions between entities can be observed and collected, which results in the loss of full context and restricts practical use.Just like when multiple people gather simultaneously in a meeting room, higher-order interactions—where many entities interact at once—occur across various fields and reflect the complexity of real-world relationships. However, due to technical limitations, in many fields, only low-order pairwise interactions between entities can be observed and collected, which results in the loss of full context and restricts practical use.Machine learning & AI[#item_full_content]

A new study has examined issues of large language models (LLMs) failing to flag articles which have been retracted or are discredited when asked to evaluate their quality.A new study has examined issues of large language models (LLMs) failing to flag articles which have been retracted or are discredited when asked to evaluate their quality.Machine learning & AI[#item_full_content]

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