OpenAI Employee Reveals Shocking Insights on AGI and Microsoft’s Role

Daniel Kokotajlo from OpenAI made some big predictions about AGI (Artificial General Intelligence). He shared these during an interview on the Hard Fork New York Times podcast. Kokotajlo revealed four surprising things that many of us didn’t know about OpenAI and its safety efforts. He also talked about some actions taken by Microsoft.

One of the biggest surprises was about Microsoft. They have a safety team that must approve any big AI releases. This team includes members from both Microsoft and OpenAI. They were supposed to approve the release of GPT-4 in a part of India. But Microsoft went ahead and released it before getting the green light.

Kokotajlo said that this was shocking. He mentioned that rumors started flying about Microsoft’s move. When they checked into it, they found out it was true. This was disappointing because it showed a flaw in the self-governing system they had set up. The goal was to make sure such big deployments were safe and approved first.

The interview also revealed that the safety board had more challenges. They feared damaging their relationship with Microsoft. This fear came from the fact that Microsoft provides a lot of computing power to OpenAI. This relationship is crucial for the development of AI models like GPT-4.

Kokotajlo’s comments bring to light important issues about AI safety and governance. How tech giants handle AI releases can have big impacts. The safety board’s role is to ensure responsible AI use. But when processes are skipped, it shows a need for stronger checks and balances.

This interview with Daniel Kokotajlo also hinted at the possible date for AGI. Many OpenAI staff seem to agree on a certain timeframe for AGI to become reality. This consistency across different sources suggests that the timeline might be accurate.

In summary, Daniel Kokotajlo’s revelations are a wake-up call. They highlight the need for strict adherence to safety procedures. As AI technology continues to advance, these insights are crucial for ensuring that AI is developed and deployed responsibly.