Pliable connector molecules could be key to creating nanoparticle-based materials for photonics, chemical catalysis, medicine, and more. Zach Winn | MIT News Publication Date: November 2, 2026 Press Inquiries Press Contact: Abby Abazorius Email: abbya@mit.edu Phone: 617-253-2709 MIT News Office…
Welcome, humans. So apparently you can now get in trouble for being rude to Claude. Starting November 12, Anthropic’s updated usage policy bans sustained, needless abuse or cruelty toward its models, a rule Anthropic first announced on October 8. Before…
From Uptober to Hacktober: Are Bitcoin’s seasonal patterns becoming obsolete? <!–> [–> 11 hours ago Helen Partz <!–> –> Source: Cointelegraph
Binance hackers begin swapping stolen Solana tokens for Bitcoin: Chainalysis <!–> [–> 9 hours ago Zoltan Vardai <!–> –> Source: Cointelegraph
From Uptober to Hacktober: Are Bitcoin’s seasonal patterns becoming obsolete? <!–> [–> 11 hours ago Helen Partz <!–> –> Source: Cointelegraph
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery. Alex Ouyang | Abdul Latif Jameel Clinic for Machine Learning in Health Publication Date: November 2,…
From Uptober to Hacktober: Are Bitcoin’s seasonal patterns becoming obsolete? <!–> [–> 11 hours ago Helen Partz <!–> –> Source: Cointelegraph
Kornbluth: “We hope to see you here soon on a visit to MIT, whether you are a prospective student, whether you are a tourist or whether you are just someone who likes really cool things.” Watch Video Publication Date: November…
Water-resistant microneedles made from food-grade silk could deliver vaccines to help prevent the spread of disease in aquaculture. Zach Winn | MIT News Publication Date: November 2, 2026 Press Inquiries Press Contact: Abby Abazorius Email: abbya@mit.edu Phone: 617-253-2709 MIT News…
Although specific details for Monday, November 2, 2026, were not provided in the source text, the daily artificial intelligence landscape continues to evolve at a breakneck pace. Industry leaders and researchers regularly push the boundaries of machine learning, releasing groundbreaking model updates and automation tools. At the same time, policymakers grapple with the complex ethical, safety, and regulatory challenges posed by these rapid advancements. This relentless cycle of innovation and oversight ensures that AI remains at the forefront of global technological discourse, fundamentally reshaping how we live, work, and interact with digital systems.