TECH - Sam Altman's $7 Trillion AI Dream: Visionary Or A Leap Too Far? | Benzinga
Sam Altman's plans to overhaul the semiconductor industry with an injection of up to $7 trillion in private investments could be as unrealistic as they are ambitious.
The CEO of OpenAI, whose company recently shattered growth records with revenues of over $2 billion last year, is chasing the quest of building an artificial general intelligence: an AI model able to universally perform better than humans on any given task.
For this, the executive is embarking on a quest to raise a sum that seems impossible for a company its size.
Earlier this month, a report by Cathie Wood's Ark Invest predicted that the cost of training AI programs would drop by 75% on a yearly basis until 2030.
In a Monday speech, Nvidia Corp's (NASDAQ:NVDA) CEO Jensen Huang echoed Ark's prediction, saying that advances in computing technology will significantly reduce the costs associated with developing artificial intelligence.
Altman himself confirmed that the cost of training GPT-4, the latest AI language model behind the company’s successful ChatGPT, was above $100 billion.
However, the processing capacity needed to build exponentially more powerful models is beyond today's reach. The complex process of manufacturing high-performance chips needed in AI system training requires the coordination of many areas including supply chains, facility development and expert training, many of which fall ...