#AI #GenerativeAI #GhostWork #DataLabelling #WageSlavery: "To build AI, Silicon Valley’s most illustrious companies are fighting over the limited talent of computer scientists in their backyard, paying hundreds of thousands of dollars to a newly minted Ph.D. But to train and deploy them using real-world data, these same companies have turned to the likes of Sama, and their veritable armies of low-wage workers with basic digital literacy, but no stable employment.

Sama isn’t the only service of its kind globally. Start-ups such as Scale AI, Appen, Hive Micro, iMerit and Mighty AI (now owned by Uber), and more traditional IT companies such as Accenture and Wipro are all part of this growing industry estimated to be worth $17bn by 2030.

Because of the sheer volume of data that AI companies need to be labelled, most start-ups outsource their services to lower-income countries where hundreds of workers like Ian and Benja are paid to sift and interpret data that trains AI systems."

https://lithub.com/how-vulnerable-low-wage-workers-power-ai-algorithms/

How Vulnerable Low-Wage Workers Power AI Algorithms

The pursuit of building intelligent, superhuman machines is nothing new. One Jewish folktale from the early 1900s describes the creation of a golem, an inanimate humanoid, imbued with life by Rabbi…

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@remixtures

Since the blockbuster release of #ChatGPT, so many $billions have flowed into #OpenAI and many other #AI ventures, presumably paying even larger salaries to many many more #LLM engineers.

And #GPT has barely improved. #GPT4 has new interfaces and is quicker, but it's fundamental functionality is pretty comparable to #GPT3. These abused content moderators might genuinely be improving it more than the engineers.

You could almost say more money = less improvement.