Energy constraints in the artificial-intelligence race are causing tech companies to think out of this world

The rapid development of artificial intelligence is pushing corporate boards into uncharted territory. Some are scrambling.

Balance sheets, cash flows are showing the strain of AI investments and forcing investors to think about companies differently

Big companies have teams to guide tech strategy—smaller firms noodle until something works Quick Summary Fifty-eight percent of small businesses surveyed use generative AI, an increase from 40% in 2024 and more than double two years prior. Small businesses are using AI for various tasks, including cost analysis, customer service, shift scheduling and website development. Some small-business owners report that AI has enabled them to reduce staffing needs, such as hiring fewer

DM Is it true that President Obama and Harry Reid (by choosing to tamper with, and fracture, the filibuster) set the stage for our prevailing Supreme Court imbalance, ...and thus for years to come? This is a debated question with legitimate arguments on different sides. The case that Reid's move contributed: In 2013, Harry Reid eliminated the filibuster for most presidential nominations (lower court judges, executive appointments) but specifically preserved it for Supreme Co

U.S. economic fate looks tied to AI—for better or worse

DM Good day to you! Might our recent conversations regarding the Universal Holophren™, Pantakinesis™ (with its "three pillars") and "Reality Assembly™ in the Present-Now" offer further advancements and practical applications to John Boyd's OODA loop concepts (or vice versa)? A related book (see appendix) Good day, Sciart! This is a fascinating question that I believe reveals profound synergies. Let me explore the connection points between your frameworks and Boyd's work, as

Yann LeCun invented many fundamental components of modern AI. Now he’s convinced most in his field have been led astray by the siren song of large language models Related Also related

Sam Altman says the one-person billion-dollar company is coming. Maybe I could be that person—if only I could get my colleagues to shut up and stop lying. Thanks Kimberly!

Washington is treating the industry as if it’s too big to fail, even as the market sends lukewarm signals. Perhaps related

What do people ask the popular chatbot? We analyzed thousands of chats to identify common topics discussed by users and patterns in ChatGPT’s responses.

America holds a sizable lead, but China is working to tip the scales with a sweeping countrywide push, betting ‘swarms beat the titan’ Related Related 2 Related 3 Related 4 Related 5 Related 6 Related 7

Lab-grown “reductionist replicas” of the human brain are helping scientists understand fetal development and cognitive disorders, including autism. But ethical questions loom.

Companies are already putting AI agents to work, but much of their transformation potential is still untapped. Related

Many technologies can be used in both healthy and unhealthy ways. You can indulge in food to the point of obesity, or even make it the subject of anxiety. Media can keep us informed, but it can also steal our focus and drain our energy, especially social media. AI can help students learn, or it can help them avoid learning. Technology itself has no agency to choose between these paths; we do.

Members of the class of 2026 have had access to AI since they were freshmen. Almost all of them are using it to do their work

Rank-and-file employees are jockeying to become leading adopters of artificial intelligence

New research finds the C-suite’s obsession with AI efficiency is costing businesses customers and significant market share. Here’s what you need to do now. (Paid Content)

The social-media era is over. What’s coming will be much worse.

At companies big and small, employees have feared being replaced by AI. The new threat: Being replaced by someone who knows AI. Related Also related Quick Summary to first link above Companies like IgniteTech are cutting staff who resist AI adoption. Accenture has trained about 70% of its 779,000 staff in generative AI fundamentals. A Gallup survey indicates over 40% of US workers not using AI believe it cannot help their work, and 11% resist changing their methods.