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
Only companies with massive resources can afford to develop these technologies, while smaller players become modern-day “digital peasants,” working within systems they don’t control
For almost 40 years the Joides Resolution drilled into the ocean floor to collect samples and data that helped scientists to study Earth’s history and structure
Is the dream of nuclear fusion dead? Why the international experimental reactor is in ‘big trouble’
Empfangen hat sie Michael Rotert am 3. August 1984 an der damaligen Universität Karlsruhe. "Wir haben nicht geahnt, wie es die Kommunikation revolutionieren wird", sagt der 74-Jährige heute anlässlich des 40. Jahrestags
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
I love programming but I hate the programming industry
Working on problems in the order I noticed them is rarely the most effective order. So the WTF Notebook gives me a place to park the impulse to fix it now, damn it! until I have more context for deciding what to work on first
build followings at scales that were once the exclusive domain of religions and nations
Computerwissenschaft: 1999 vs 2015
Noch nie gehört, vielleicht kann es ja was