OpenAI has swooped in to poach two co-founders of AI startup Thinking Machines Lab, Barret Zoph and Luke Metz, just months after the pair left the company. The moves come as part of a broader shake-up at the company, which is itself navigating its own internal power struggles.
According to sources close to the matter, Zoph's departure from OpenAI was precipitated by an incident of serious misconduct that occurred while he was still with Thinking Machines Lab. The exact nature of the incident remains unclear, but it appears to have damaged the trust between Zoph and his former boss, Mira Murati.
Murati is reportedly furious about Zoph's decision to leave Thinking Machines without her knowledge or consent. She allegedly fired him on Wednesday, just before he had planned to inform her that he was joining OpenAI again.
However, OpenAI claims that it didn't know about the concerns raised by Thinking Machines and has no idea what happened during Zoph's time there. The company's CEO, Fidji Simo, says that the recruitment process for Zoph and Metz had been underway for weeks.
This latest move brings a further layer of complexity to OpenAI's already volatile internal politics. Just last year, the company was embroiled in a major power struggle when Sam Altman, its former CEO, was ousted in a surprise move that became known as "the blip".
The drama has sparked concerns among researchers and experts, who claim that the AI industry is becoming increasingly dysfunctional due to infighting and instability. Many are worried about what this means for the future of artificial intelligence development.
Despite these power struggles, some AI labs are pushing forward with ambitious projects to train agents to perform real-world tasks. For example, companies like Handshake, Mercor, Surge, and Turing are paying top dollar to contract experts in various fields, including finance, law, healthcare, and consulting.
These agents will be trained on boring video games that mimic the tasks they need to perform in the real world. The goal is for AI systems to become proficient enough to use software applications that professionals use every day.
However, it remains to be seen whether these efforts will ultimately result in AI systems that can execute office tasks with accuracy and consistency.
According to sources close to the matter, Zoph's departure from OpenAI was precipitated by an incident of serious misconduct that occurred while he was still with Thinking Machines Lab. The exact nature of the incident remains unclear, but it appears to have damaged the trust between Zoph and his former boss, Mira Murati.
Murati is reportedly furious about Zoph's decision to leave Thinking Machines without her knowledge or consent. She allegedly fired him on Wednesday, just before he had planned to inform her that he was joining OpenAI again.
However, OpenAI claims that it didn't know about the concerns raised by Thinking Machines and has no idea what happened during Zoph's time there. The company's CEO, Fidji Simo, says that the recruitment process for Zoph and Metz had been underway for weeks.
This latest move brings a further layer of complexity to OpenAI's already volatile internal politics. Just last year, the company was embroiled in a major power struggle when Sam Altman, its former CEO, was ousted in a surprise move that became known as "the blip".
The drama has sparked concerns among researchers and experts, who claim that the AI industry is becoming increasingly dysfunctional due to infighting and instability. Many are worried about what this means for the future of artificial intelligence development.
Despite these power struggles, some AI labs are pushing forward with ambitious projects to train agents to perform real-world tasks. For example, companies like Handshake, Mercor, Surge, and Turing are paying top dollar to contract experts in various fields, including finance, law, healthcare, and consulting.
These agents will be trained on boring video games that mimic the tasks they need to perform in the real world. The goal is for AI systems to become proficient enough to use software applications that professionals use every day.
However, it remains to be seen whether these efforts will ultimately result in AI systems that can execute office tasks with accuracy and consistency.