The Cryptocurrency Graveyard: Over Half of All Digital Tokens Have Failed Since 2021

The promise of blockchain innovation once painted a future where anyone could create wealth and democratize finance. That optimism has collided with market reality. More than half of all cryptocurrencies launched since 2021 no longer exist.
According to data from GeckoTerminal, approximately 3.7 million of the nearly 7 million cryptocurrencies listed on the platform have stopped trading and are considered failed. This represents a staggering 52.7% failure rate, with the majority of collapses concentrated in 2024 and early 2025. The first quarter of 2025 alone witnessed the collapse of 1.8 million tokens, accounting for 49.7% of all recorded project failures since 2021. This sharp decline in token survivability marks an unprecedented reckoning in the digital asset ecosystem.

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Multi-Omics Goes Mainstream… But WhoOwns the Data?

In the fast-evolving world of precision medicine, multi-omics is no longer a niche pursuit. Researchers and clinicians are increasingly layering genomics, proteomics, transcriptomics, and metabolomics to uncover the intricate workings of human biology. They turn raw data into tailored treatments for complex diseases like cancer and Alzheimer’s. This integration promises breakthroughs in clinical trials, where multi-omics profiles can predict patient responses with unprecedented accuracy. It shifts healthcare from one-size-fits-all to truly personalized care. The revolution feels electric. Yet beneath the promise lies a data deluge that’s reshaping the biotech landscape.

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Nietzsche’s Hammer on AI: Echoes of Mediocrity or Sparks of Self-Overcoming?

What would it mean to have a machine that thinks for us? Not a tool that helps us build or calculate, but one that offers answers to our deepest questions, that writes our poems, and that shapes our thoughts. Nietzsche, wandering into our world today and staring at screens where machines spit out essays, poems, and advice on demand, would not call it progress or a miracle of science. No, he would see it as a mirror to our souls, a sign of how far we have drifted from real struggle, perhaps a symptom of a deeper sickness in our culture. Large language models would strike him as both a trap and a possible tool.

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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.

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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.

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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.

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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.

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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.

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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.

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