#data-annotation

#data-annotation

"In some ways, Scale lost the focus on product, on scaling quality," Foody said. "And that was one of the largest challenges of the business."

"After a thorough review of our Human Data efforts, we've decided to accelerate the expansion and prioritization of our specialist AI tutors, while scaling back our focus on general AI tutor roles. This strategic pivot will take effect immediately," the email read. "As part of this shift in focus, we no longer need most generalist AI tutor positions and your employment with xAI will conclude."

Garrett Lord, CEO of Handshake, stated that the data annotation industry is shifting from generalists to needing highly specialized math and science experts. 'They've gotten good enough where like generalists are no longer needed.' This indicates a significant evolution in AI training demands, requiring advanced subject knowledge in areas such as accounting and law, in addition to STEM fields like physics, math, and chemistry.

What's become exceedingly important is the ability to attract and retain the best cognitive experts... to take these large models and make them very customized towards solving enterprise AI problems.