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How to Use AI to Clean Up Your Digital Footprint: A Step-by-Step Guide

Most people have a digital footprint far larger than they realize, built up over years of signups, posts, subscriptions, and forgotten accounts, and quietly expanded by data brokers who collect and sell personal information without ever asking permission. Cleaning it up has traditionally meant hours of tedious, scattered effort with little sense of where to start or whether any of it was working.

New Evidence Proves Universe Cannot Be a Computer Simulation

For decades, science fiction fans and philosophers alike have pondered one of reality’s most haunting questions: Are we living inside a computer simulation? Now, researchers at the University of British Columbia Okanagan (UBCO) have provided a definitive answer grounded in mathematics and physics. The universe is not, and could never be, a simulation.

Robotaxi Reality Check: Federal Scrutiny Grows, Raising Cost of Safety Validation and Delaying Revenue Ramp Assumptions

A sleek electric vehicle pulls up to your curb, ready to whisk you across the city without a human at the wheel. No small talk, no erratic lane changes from a tired driver, just smooth, efficient travel. This vision of robotaxis has captivated tech enthusiasts and investors for years, promising to upend urban transportation. Yet, as federal regulators tighten their grip, the dream faces harsh realities that could stretch timelines and inflate costs far beyond initial forecasts.

Pasta Made with Steel Arms: How Circus Group Turned an AI Bet into a Real Customer Deployment

A Hamburg-born startup just plugged its first autonomous cooking robot into one of the world’s biggest tech companies. Here’s what founders can learn from how Circus Group made the leap from prototype to paying customer.

The AI Debate: Will It Transform Economies or Lead to Stagnation?

In the fast-paced world of finance, few topics generate as much excitement and uncertainty as artificial intelligence. Investors are increasingly captivated by AI’s potential to revolutionize industries, boost productivity, and reshape global economies.
Yet, amid the buzz surrounding tools like large language models and machine learning algorithms, a heated debate rages. Will AI usher in a new era of prosperity, or could it fall short, leaving economies mired in stagnation? This question has profound implications for investment strategies, as highlighted by recent models from Vanguard, a leading asset manager. These models paint a bifurcated picture of the future, where AI could either drive exceptional equity returns or see bonds outshine stocks in a low-growth environment. As we delve into this debate, we’ll explore the evidence, expert views, and what it means for everyday investors navigating AI investing and economic forecasts.

What Will Humanoid Robots Actually Cost Per Hour?

Humanoid robots are no longer a sci-fi dream. They are here, they are advancing fast, and they are coming for your company’s labor budget.

Tesla’s Optimus, Figure AI, and Agility Robotics are leading a new generation of machines built to walk, lift, sort, and assist in environments designed for humans. Warehouses, hospitals, retail floors, construction sites. These robots are being engineered for all of it. The question businesses need to start asking right now is simple but critical: how much will it actually cost to run one of these machines, hour by hour?

The answer is more encouraging than most people expect.

The First Stop for Symptoms: ChatGPT

When the clock strikes midnight and a strange ache won’t quit, the modern patient faces a choice that would have seemed absurd just a few years ago: wait until the clinic opens, or open a chat window. For a growing number of people, the answer is increasingly the latter. In a world where doctor’s appointments can feel like a distant dream, especially after hours or on weekends, ChatGPT has become an unlikely ally for health concerns, available at any hour, ready to listen without a single interruption. The author of the original Techmented piece even floats a provocative idea: in a few years, it may be considered irresponsible not to consult artificial intelligence when you are ill.

The AI Prophet’s Warning

In the bustling, high-stakes world of artificial intelligence, where hype often outpaces reality, the voice of Yann LeCun stands out. As the chief AI scientist at Meta and one of the founding figures of modern deep learning, a Turing Award winner, his opinions carry immense weight. So when he declares that the technology currently captivating the world, large language models, is a profound dead end, the entire industry leans in to listen.

The Great Anthropic Mind Trick: How a Marketing Department Convinced the World Its Chatbot Has a Soul

There is a particular kind of intellectual sleight of hand happening in Silicon Valley right now, and frankly, it has gone on long enough without somebody calling it what it is. The latest entry in this circus arrives courtesy of Anthropic, whose researcher Jack Lindsey has graced us with a 2025 paper titled “Emergent Introspective Awareness in Large Language Models,” a document so dressed up in scientific costume that you might miss the fact that it is essentially a press release with footnotes.

The breathless coverage that followed was predictable. Headlines suggested machines are beginning to “glimpse their own minds.” Commentators waxed philosophical about the dawn of digital consciousness. And Anthropic, conveniently the company selling the very models supposedly developing these miraculous inner lives, sat back and watched its valuation narrative write itself. Let us pull this curtain back.

When the Boss Is an Algorithm: Inside Stockholm’s AI-Run Café

A small café on a quiet Swedish street is quietly rewriting what “management” means.

On a leafy block in Stockholm’s Vasastan district sits a café that looks pleasantly unremarkable. Muted blue walls, metal chairs, soft acoustic music, the obligatory avocado toast. What customers don’t always realize is that the manager who hired the barista pouring their coffee, negotiated the broadband contract, and decided how many napkins to stock isn’t a person at all. Her name is Mona, and she is an AI agent.

This is the latest live experiment from Andon Labs, a Y Combinator-backed startup asking a question most companies prefer to dodge: how much of a real business can an AI actually run today?