He briefly became the world’s youngest self-made billionaire by supplying AI companies with the one thing they all need: humans. Hundreds of thousands of them. Now Wang’s $7.3 billion startup Scale AI is primed to cash in on the biggest AI boom yet—unless someone else can do it better or cheaper.| Forbes
“It’s theft.” A WIRED investigation found that subtitles from 173,536 YouTube videos, siphoned from more than 48,000 channels, were used by Anthropic, Nvidia, Apple, and Salesforce to train AI.| WIRED
Based on our previous analysis of trends in dataset size, we project the growth of dataset size in the language and vision domains. We explore the limits of this trend by estimating the total stock of available unlabeled data over the next decades.| Epoch AI
The retail company, which has seen slow sales, has made AI part of its growth strategy. But staff said that ‘Help AI’ is a poorly designed tool and a waste of resources.| Forbes
After Jacob Helberg rallied support for the TikTok ban bill, the former Democratic fundraiser has become one of Silicon Valley’s conduits to former president Donald Trump.| Forbes
As Perplexity faces criticism for allegedly plagiarizing journalistic work and distributing it like a media company, it is increasingly citing AI-generated blogs and LinkedIn posts riddled with inaccurate and out of date information.| Forbes
We estimate the stock of human-generated public text at around 300 trillion tokens. If trends continue, language models will fully utilize this stock between 2026 and 2032, or even earlier if intensely overtrained.| Epoch AI
A series of SLMs offer many of the same capabilities found in LLMs but are smaller in size and are trained on smaller amounts of data.| Source