Destination
Making AI chatbots helpful weakens their ability to simulate human behavior, large-scale study finds

A large-scale study covering 208,000 participants and 26 million responses shows that the very training that turns language models into helpful chatbots weakens their ability to replicate human behavior. The effect gets worse with each new model generation. Even the popular persona trick, feeding models demographic profiles, brings practically no benefit for individual predictions.<br /> The article Making AI chatbots helpful weakens their ability to simulate human behavior, large-scale study finds appeared first on The Decoder. [...]

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Destination
The best smart scales for 2025

The New Year is here and there’s no better time to kickstart those health and fitness goals. Whether you’re looking to shed a few holiday pounds, track your muscle gains or simply stay on top of a [...]

Match Score: 91.14

Destination
Surprising no one, researchers confirm that AI chatbots are incredibly sycophantic

We all have anecdotal evidence of chatbots blowing smoke up our butts, but now we have science to back it up. Researchers at Stanford, Harvard and other institutions just published a study in Nature a [...]

Match Score: 75.68

venturebeat
Upwork study shows AI agents excel with human partners but fail independently

Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]

Match Score: 67.94

venturebeat
Rapidata emerges to shorten AI model development cycles from months to days with near real-time RLHF

Despite growing chatter about a future when much human work is automated by AI, one of the ironies of this current tech boom is how stubbornly reliant on human beings it remains, specifically the proc [...]

Match Score: 66.75

venturebeat
Rethinking AEO when software agents navigate the web on behalf of users

For more than two decades, digital businesses have relied on a simple assumption: When someone interacts with a website, that activity reflects a human making a conscious choice. Clicks are treated as [...]

Match Score: 64.21

venturebeat
Testing autonomous agents (Or: how I learned to stop worrying and embrace chaos)

Look, we've spent the last 18 months building production AI systems, and we'll tell you what keeps us up at night — and it's not whether the model can answer questions. That's ta [...]

Match Score: 57.52

venturebeat
This new AI technique creates ‘digital twin’ consumers, and it could kill the traditional survey industry

A new research paper quietly published last week outlines a breakthrough method that allows large language models (LLMs) to simulate human consumer behavior with startling accuracy, a development that [...]

Match Score: 53.04

venturebeat
Is Anthropic 'nerfing' Claude? Users increasingly report performance degradation as leaders push back

A growing number of developers and AI power users are taking to social media to accuse Anthropic of degrading the performance of Claude Opus 4.6 and Claude Code — intentionally or as an outcome of c [...]

Match Score: 49.43

venturebeat
Arcee's U.S.-made, open source Trinity Large and 10T-checkpoint offer rare look at raw model intelligence

San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source l [...]

Match Score: 46.97