Who is behind DeepSeek and how did it achieve its AI ‘Sputnik moment’?

Examples of wasted potential:

    Sarah: Built a fusion reactor at 16. Now? Debugging fintech payment systems.

    James: 3D-printed prosthetic limbs for A-levels. Today? Writing credit risk reports.

    Alex: Developed AI drone swarms for disaster relief at 18. Graduated with top honours from Imperial. His job? Tweaking a single button's ergonomics on home appliances.

These aren't outliers. They're a generation of engineering prodigies whose talents are being squandered.

This isn't just wage disparity. It's misallocation of human capital on a national scale.

Perplexity AI arbeitet künftig mit RTL und weiteren zusammen

ntv und stern ziehen in die KI-Suchmaschine von Perplexity. RTL wird einer, von mehreren neuen Kooperationspartnern

OpenAI, Google, and Anthropic – are facing unexpected hurdles in their efforts to develop more sophisticated models

So the AI boom of the last 12 years was made possible by three visionaries:
One was Geoffrey Hinton, a University of Toronto computer scientist who spent decades promoting neural networks despite near-universal skepticism.
The second was Jensen Huang, the CEO of Nvidia, who recognized early that GPUs could be useful for more than just graphics.
The third was Fei-Fei Li. She created an image dataset that seemed ludicrously large to most of her colleagues. But it turned out to be essential for demonstrating the potential of neural networks trained on GPUs

Human internet is dying, AI images taking over Google

LLM evaluation is a minefield, and it turns out that agent evaluation has a bunch of additional pitfalls

Multiple AI companies are ignoring Robots.txt files meant to block the scraping of web content for generative AI systems

hahaha xD

Noch nie gehört, vielleicht kann es ja was