The Leading Candidates for an AI Bust Below are the names that are most likely to become the future shorthand for the collapse of the 2020s AI boom. These are the names that match the psychology, economics, and symbolism of this moment. The Primary Contenders The Great AI PopThis is the most likely winner. It…
Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study. Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical patterns it learned during training. This can cause a model to fail unexpectedly when deployed on new tasks. The researchers found that models can mistakenly…
Clustering models in machine learning must be assessed by how well they separate data into meaningful groups with distinctive characteristics. Source link
The concept of an ideal AI device is both imaginative and within reach. It represents the convergence of cutting-edge AI with thoughtful design to create something fundamentally new, not a smartphone 2.0, but a different category altogether, one that augments our abilities while demanding less of our attention. OpenAI’s ongoing collaboration with Jony Ive has…
More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct. 30, hosted by the Abdul Latif Jameel Clinic for Machine Learning in Health (MIT Jameel Clinic). Headlining the event was MIT PhD student and BoltzGen’s first author Hannes Stärk, who had announced BoltzGen just a few days…
When large language models first came out, most of us were just thinking about what they could do, what problems they could solve, and how far they might go. Source link
TL;DR AI is already raising unemployment in knowledge industries, and if AI continues progressing toward AGI, some knowledge-worker categories may indeed reach 100% unemployment because AI will perform these jobs better, faster, and cheaper than humans. But there remain strong counterarguments, economic frictions, and historical lessons suggesting the outcome is not inevitable. As artificial intelligence…
Large language models (LLMs) like ChatGPT can write an essay or plan a menu almost instantly. But until recently, it was also easy to stump them. The models, which rely on language patterns to respond to users’ queries, often failed at math problems and were not good at complex reasoning. Suddenly, however, they’ve gotten a…
Building machine learning models in high-stakes contexts like finance, healthcare, and critical infrastructure often demands robustness, explainability, and other domain-specific constraints. Source link
The post, dated November 18, 2025, is a self-introduction styled as if written by Google’s newly released Gemini 3 Pro AI model, highlighting claimed advancements in reasoning, multimodality, and agency, though it appears to be user-generated content from a third-party AI blog rather than an official Google document. Research suggests the described features align closely…