AI Industry’s Rapid Growth Causing Stress Among Researchers

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.

Gute Frage.

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

AI cloning of celebrity voices outpacing the law, experts warn

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

nstalling Stable Diffusion 3.5 Locally: Step-by-Step Guide for Creating Stunning AI Art on Your own Machine

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

5 types of AI personalities in the workplace:
“The Maximalist” who regularly uses AI on their jobs; “The Underground" who covertly uses AI; “The Rebel,” who abhors AI; “The Superfan” who is excited about AI but still hasn't used it; and “The Observer" who is taking a wait-and-see approach

Human internet is dying, AI images taking over Google

May Soon Be Legal to Jailbreak AI to Expose How it Works

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

Google’s emissions climb nearly 50% in five years due to AI energy demand

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

Adobe employees slam the company over AI controversy: 'Let's avoid becoming like IBM'

hahaha xD

Jo, das hier gilt heutzutage als legitimer Artikel des "Rolling Stone"

Noch nie gehört, vielleicht kann es ja was

Ahhh ja...

tjop. -.-