News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
A consultant reports that AI hype is distorting corporate strategy, with executives who have never used ChatGPT crafting AI-centered plans for billion-dollar firms. Anonymous sources reveal a culture where absurd productivity claims go unchallenged for fear of losing contracts, and engineers feel pressured to use AI tools just to keep their jobs.
Mustafa Suleyman, CEO of Microsoft AI, says superintelligence is approaching but won't eliminate jobs. In an interview, he discusses Microsoft's restructured AI division after a new contract with OpenAI, the announcement of seven new models at Build, and his views on human-level AI performance in chat and reasoning tasks.
California Governor Gavin Newsom signed the first executive order by a U.S. governor aimed at shielding workers from AI-driven job displacement. The order directs state agencies to work with researchers, unions, and the AI industry on strategies including subsidies for companies that keep employees, expanded retraining for office workers, and a review of universal basic capital. Newsom cited predictions that half of all office jobs could vanish within five years and criticized the tax system for rewarding automation over hiring.
Cisco plans to eliminate fewer than 4,000 positions, about 5% of its staff, to adjust costs and fund AI and cybersecurity efforts. This comes after the company reported stronger-than-forecast profits and sales in its fiscal third quarter. The move aligns with other tech firms trimming payrolls despite solid results.
Nvidia CEO Jensen Huang dismissed fears of AI displacing workers during a talk hosted by the Milken Institute. He argued that AI generates jobs on an industrial scale and offers the US a chance to re-industrialize through new factories. Huang criticized doomer predictions and noted that task automation does not eliminate entire roles.
A study reveals large language models favor resumes they create over human-written or other AI-generated ones in hiring scenarios. Self-preference bias reaches 67% to 82%, giving an edge to candidates using the same model. Simulations across 24 jobs show 23% to 60% higher shortlist chances, with interventions cutting bias by over 50%.
Meta plans to eliminate 10% of its workforce, about 8,000 positions, next month while boosting AI investments to $135 billion this year. The move aligns with CEO Mark Zuckerberg's view that AI boosts productivity enough for one worker to handle team-sized tasks. Other tech giants like Amazon and Microsoft have also reduced staff amid heavy AI focus.