Antitrust regulators are reportedly unconvinced by artificial intelligence (AI) firms’ proposed hands-off policy.
Speaking at the Antitrust Conference in Washington last week, Federal Trade Commission (FTC) Chair Lena Khan said that technology companies Tried to “glow”. Policymakers toyed with the promise of AI, but to no avail, Bloomberg News reported Friday (April 12).
He said there is no exemption from anti-collusion laws, anti-price-fixing laws, anti-monopoly laws, anti-cheating laws. “The FTC is going to take action.”
As Bloomberg notes, the world’s antitrust agencies have grown concerned that many promising startups in the AI sector Trust too much On tech giants like Microsoft and Google for funding and infrastructure.
Concern, the report said, is that these companies are Tie yourself up Small to ensure they remain at the forefront of the AI field.
According to the report, representatives from big tech companies spent the conference arguing that AI could transform the economy, with Google attorney Kent Walker comparing the technology to the mRNA vaccine tech used to combat COVID-19. .
There are different dynamics in the AI industry, he said Heidi SchwartzOpenAI’s Associate General Counsel for Antitrust refers to artificial intelligence as a “positive disruptor” that can foster greater competition and develop new industries.
Meanwhile, PYMNTS wrote last week about efforts by big tech companies to develop custom chips that boost performance and lower the cost of AI.
For example, Meta has introduced its latest generation of custom computer chips to strengthen its AI capabilities and reduce dependence on external suppliers such as Nvidia. The news comes after Intel launched an improved AI “accelerator” and rivals like Google embrace in-house AI chip development. Experts said AI chips could boost commercial applications.
“From a business perspective, it Lowers the bar. Moves away from using APIs from major language model providers for training per-customer, per-task models and for specialized and high-security use cases,” said Amrit Jasal, co-founder and chief technology officer at Egnyte, an AI – said in an interview with PYMNTS, powerful software for business.
As noted in this report, custom chips can reduce AI costs for businesses. For now, the cost of integrating generative AI into a business can vary widely, from a few hundred dollars a month to several hundred thousand dollars a month, based on a fine-tuned open-source model, according to the software development firm. For the solution. Itrex.