The company SSI, founded by Ilya Sutskever, has completed $1 billion in funding within three months of its establishment, achieving a valuation of $5 billion. The SSI team consists of only 10 people, with the goal of achieving safe superintelligence. The initial funding round attracted well-known investors such as Andreessen Horowitz, Sequoia Capital, DST Global, and SV Angel. SSI focuses on research and development, planning to meet the demand for computing power through partnerships with cloud service providers and chip manufacturers. The company adopts a traditional profit model.

Ilya Sutskever, one of the co-founders and former chief scientist of OpenAI, has launched a new company, Safe Superintelligence Inc. (SSI), just one month after his departure, alongside two former colleagues. The company focuses on addressing safety issues related to 'superintelligent' AI systems.

Over 700 OpenAI employees signed a letter demanding the board's resignation. The dismissal of Ultraman sparked infighting, with Microsoft CEO Satya Nadella trying to retain key staff. Microsoft may establish a new senior AI team. Ilya is accused of being the mastermind behind the internal conflict, as employees oppose the board's decisions. Amid an exodus, core members include the head of GPT-4 and the head of the AI risk assessment team.

Dozens of OpenAI employees announced their departure after board member and Chief Scientist Ilya Sutskever informed them that dismissed CEO Sam Altman would not return. These departing employees could impact OpenAI's daily operations and its standing in the artificial intelligence field. The departing employees may join Altman's new AI project, and their departure provides competitors with an opportunity to poach talent. Employee turnover could alter innovation and development in the artificial intelligence sector.

OpenAI Chief Scientist Ilya conducted a deep interview before the release of GPT-3. He discussed the evolution of neural networks and their analogy to the human brain. He is confident about the development and future of deep learning, stating that breakthroughs will require large-scale computation and persistent efforts. He believes there are still many beautiful and mysterious properties of deep learning yet to be discovered.