Sam Altman says in order to create intelligence equalling human intelligence in machines, he is thinking of asking Microsoft to back this pursuit financially. It is known that the costs of building the sophisticated AI business models are punishing.

Microsoft values OpenAI at $29 billion.

Still, OpenAI has a long way to go and involves a lot of compute between the present and AGI goal it has set for itself.

Though OpenAI earns good revenues, it could not show good profits on account of training costs. Its tie-up with Microsoft is a mutually beneficial relationship.

OpenAI has already introduced GPT-4 and it wants to build on that. GPT Store Should have the best apps. Ultimately, OpenAI wants to set up an Apple type Store.

Altman has hired Brad Lightcap as Chief Operating Officer. Altman thinks on superintelligence and compute power required for this.

The company is working on GPT-5 which is the next-generation of AI model. No time-line commitment still for GPT-5. It will require more data to train on. Some of the data will come from public sources ( say Internet ), and some from private sources ( say companies ). Private data that is not easily accesible online could be used. It is a matter of speculation as to what capabilities GPT-5 will have. It is just a guessing game.

Models are trained using Nvidia’s H100 chips. The chip costs $40000-a-piece. There could be competitive chips from rival companies.

Though OpenAI’s models have achieved success, the company is after building AGI through LLMs and through a lot of other pieces on top of them. OpenAI focuses on LLMs, and competitors are working on alternative strategies to advance AI.

Language is the best way to compress information, and is therefore good for developing intelligence. Several researchers in the field miss this point. Between what we have and what we want — AGI, we require systems to make fundamental leaps of understanding. The issue is to find the missing link.