The Science of Machine Learning vs. the Push for AI Deployment

Description and use

<p>The premise was that AI would change the world. It would supercharge business processes, alter industrial mechanics, create entirely new industries, and lead us toward a world of abundant production. Elon Musk has even suggested that money and work might one day become unnecessary, leaving only abundance. It was a bold vision, and it was presented with great confidence.</p> <p>To a large extent, the promise held up in the GenAI era. We created millions of near-perfect photos and experimented with video creation. ChatGPT answered almost everything we asked, and Claude handled deep workflows

Problem

<p>The premise was that AI would change the world. It would supercharge business processes, alter industrial mechanics, create entirely new industries, and lead us toward a world of abundant production. Elon Musk has even suggested that money and work might one day become unnecessary, leaving only abundance. It was a bold vision, and it was presented with great confidence.</p> <p>To a large extent, the promise held up in the GenAI era. We created millions of near-perfect photos and experimented with video creation. ChatGPT answered almost everything we asked, and Claude handled deep workflows

Outcome

<p>The premise was that AI would change the world. It would supercharge business processes, alter industrial mechanics, create entirely new industries, and lead us toward a world of abundant production. Elon Musk has even suggested that money and work might one day become unnecessary, leaving only abundance. It was a bold vision, and it was presented with great confidence.</p> <p>To a large extent, the promise held up in the GenAI era. We created millions of near-perfect photos and experimented with video creation. ChatGPT answered almost everything we asked, and Claude handled deep workflows

Evidence

The Science of Machine Learning vs. the Push for AI Deployment

Source