An investment manager realized he made a crucial mistake — and that his grim prediction about AI investments may not have been cynical enough.
USC engineers have developed an optical system that routes light autonomously using thermodynamic principles. Rather than relying on switches, light organizes itself much like particles in a gas reaching equilibrium. The discovery could simplify and speed up optical communications and computing. It reimagines chaotic optical behavior as a tool for design rather than a limitation.
As a college student, Gabriel Aguilar fell victim to an elaborate scam. The fraudsters posed as employers offering job opportunities that provided quick income.
He completed what seemed like a legitimate interview process, was offered a position and was even sent a check to purchase a laptop—which included a note from the perpetrators to send them the change. The scam was to unfold with the check bouncing and Dr. Aguilar being out his own money. Thankfully, his bank flagged the check because of typos and errors.
Aguilar, now an assistant professor of technical writing and professional communication in The University of Texas at Arlington’s Department of English, examines how today’s scammers are employing artificial intelligence (AI) to help con the public—in particular, the Latino population, which is often targeted.
Researchers at McMaster University and the Massachusetts Institute of Technology (MIT) have made two scientific breakthroughs at once: they not only discovered a brand-new antibiotic that targets inflammatory bowel diseases (IBD), but also successfully used a new type of AI to predict exactly how the drug works. To their knowledge, this is a global first for the AI.
Detailed in the journal Nature Microbiology, the discovery unveils a promising new treatment option for millions of people affected by Crohn’s disease and other related conditions, while also showcasing important new applications for AI in drug discovery research.
“This work shows that we’re still just scratching the surface as far as AI-guided drug discovery goes,” says Jon Stokes, an assistant professor in McMaster’s Department of Biochemistry and Biomedical Sciences and principal investigator on the new study.
Artificial intelligence offers the potential to improve people’s living standards. Such advances can be approximated by changes in GDP per capita over time. Using that common measure, AI could enhance longstanding productivity gains or, alternatively, drastically alter the economy in relatively short order.
Samsung just shocked the entire AI world — a 7-million-parameter model called Tiny Recursive Model (TRM) just out-reasoned billion-parameter giants like Gemini and DeepSeek. Built by Samsung’s Montreal research lab, this microscopic AI loops over its own thoughts, rewrites its answers, and fixes mistakes before you even see them — creating reasoning depth without size. It’s 25,000 times smaller than Gemini 2.5 Pro, yet it beat it on real reasoning benchmarks like ARC-AGI.
Meanwhile, Microsoft built an AI brain for quantum chemistry, Anthropic made an AI that audits other AIs, Liquid AI proved on-device intelligence can actually work, and Meta reinvented multimodal search — all in one insane week.
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🧠 What You’ll See:
• Samsung’s 7-million-parameter TRM model that crushed Gemini and DeepSeek.
• How recursive thinking lets TRM fix its own mistakes 16 times per answer.
• Microsoft’s new neural model that changes quantum chemistry forever.
• Anthropic’s Petri framework that makes AIs audit each other.
• Liquid AI’s mobile-ready MoE model that runs locally on your phone.
• Meta’s new MetaEmbed system that rewrites multimodal search.
🚨 Why It Matters:
AI progress is no longer about size — it’s about intelligence, efficiency, and control. The smallest model just proved it can outsmart the giants.
#ai #Gemini #DeepSeek