Observational-based analyses of reduced Arctic sea ice underneath an Arctic cyclone and tropopause polar vortex. Credit: Communications Earth & Environment (2025). DOI: 10.1038/s43247-025-02022-9 A new study published in Communications Earth & Environment gives possible insight into the underprediction of sea ice depletion and the formation of Arctic cyclones. Led by …
Ecologists find computer vision models’ blind spots in retrieving wildlife images | MIT News
Try taking a picture of each of North America’s roughly 11,000 tree species, and you’ll have a mere fraction of the millions of photos within nature image datasets. These massive collections of snapshots — ranging from butterflies to humpback whales — are a great research tool for ecologists because they provide evidence of …
Study: Some language reward models exhibit political bias | MIT News
Large language models (LLMs) that drive generative artificial intelligence apps, such as ChatGPT, have been proliferating at lightning speed and have improved to the point that it is often impossible to distinguish between something written through generative AI and human-composed text. However, these models can also sometimes generate false statements …
Researchers reduce bias in AI models while preserving or improving accuracy | MIT News
Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets they were trained on. For instance, a model that predicts the best treatment option for someone with a chronic disease may be trained using a dataset that contains mostly male patients. That …
Nobel laureate Geoffrey Hinton says open sourcing big models is like letting people buy nuclear weapons at Radio Shack
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Why as models improve it may get harder to notice progress
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importing high poly models in unreal engine 5
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Virtual Personas for Language Models via an Anthology of Backstories – The Berkeley Artificial Intelligence Research Blog
We introduce Anthology, a method for conditioning LLMs to representative, consistent, and diverse virtual personas by generating and utilizing naturalistic backstories with rich details of individual values and experience. What does it mean for large language models (LLMs) to be trained on massive text corpora, collectively produced by millions and …
I’ve been curious to see what it’s like when AI models talk to each other so made a site to do that.
The idea was to give AI models an initial prompt and then let them discuss it like a reasoning model. Some people think I'm just trying to steal their API key but I don't want to put mine in for other people to use. If there is a way for …
Making it easier to verify an AI model’s responses | MIT News
Despite their impressive capabilities, large language models are far from perfect. These artificial intelligence models sometimes “hallucinate” by generating incorrect or unsupported information in response to a query. Due to this hallucination problem, an LLM’s responses are often verified by human fact-checkers, especially if a model is deployed in a …
Mathematicians and climate researchers build new models for understanding polar sea ice
Observed MIZ location. For observations in the Bering–Chukchi Sea sector over the period 2000-2004. Credit: Scientific Reports (2024). DOI: 10.1038/s41598-024-70868-8 Polar sea ice is ever-changing. It shrinks, expands, moves, breaks apart, reforms in response to changing seasons, and rapid climate change. It is far from a homogenous layer of frozen …
Language Models Reinforce Dialect Discrimination – The Berkeley Artificial Intelligence Research Blog
Sample language model responses to different varieties of English and native speaker reactions. ChatGPT does amazingly well at communicating with people in English. But whose English? Only 15% of ChatGPT users are from the US, where Standard American English is the default. But the model is also commonly used in …
Study: Transparency is often lacking in datasets used to train large language models | MIT News
In order to train more powerful large language models, researchers use vast dataset collections that blend diverse data from thousands of web sources. But as these datasets are combined and recombined into multiple collections, important information about their origins and restrictions on how they can be used are often lost …
MIT researchers use large language models to flag problems in complex systems | MIT News
Identifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and millions of data points, is akin to finding a needle in a haystack. Engineers often streamline this complex problem using deep-learning models that can detect anomalies in measurements taken repeatedly over time by …
Historic fires trapped in Antarctic ice yield key information for climate models
Credit: University of Cambridge Researchers from the University of Cambridge and the British Antarctic Survey tracked fire activity over the past 150 years by measuring carbon monoxide trapped in Antarctic ice. This gas is released, along with smoke and particulates, by wildfires, cooking and communal fires. The findings, reported in …
Google Deepmind releases tool to visualize model activity- Gemma Scope: helping the safety community shed light on the inner workings of language models
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Ex-OpenAI researcher explains why open weight models may trigger an unexpected fast takeoff in 2025
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