Antitrust regulators are reportedly not satisfied with intervention policies proposed by artificial intelligence (AI) companies.
He spoke at an antitrust conference in Washington last week. Federal Trade Commission (FTC) Commissioner Lina Khan says technology companies I tried to “dazzle” Policymakers' hopes for AI were in vain, Bloomberg News reported Friday (April 12).
“There are no exemptions from laws against collusion, laws against price fixing, laws against monopoly and laws against fraud,” she said. “The FTC intends to take action.”
As Bloomberg pointed out, antitrust authorities around the world are warning that some of the most promising startups in the AI field are heavily dependent on About the funding and infrastructure of big tech companies like Microsoft and Google.
According to the report, the concern is that these companies tie yourself It extends to smaller companies to stay on top in the AI space.
Representatives from Big Tech companies attended the meeting and argued that AI has the potential to transform the economy, and Google lawyer Kent Walker said he would use the technology to fight COVID-19, according to a report. Compared to the mRNA vaccine technology used for.
He said there are different dynamics in the AI industry. heidi schwartzOpenAI's antitrust associate general counsel describes artificial intelligence as a “positive disruptor” that has the potential to foster greater competition and generate growth in new industries.
Meanwhile, PYMNTS wrote last week about Big Tech companies' efforts to develop custom chips that make AI more efficient and lower costs.
for example, Meta has introduced the latest generation of custom computer chips to enhance its AI capabilities and reduce dependence on external suppliers, including: Nvidia. The news comes on the heels of Intel announcing improved AI “accelerators” and as competitors such as Google embrace in-house AI chip development. Experts said AI chips could facilitate commercial applications.
“From a business perspective, lower the hurdle This is to train per-customer, per-task models and move away from simply consuming APIs from large language model providers for specialized, high-security use cases. ” in an interview with PYMNTS.
As the report points out, custom chips could reduce AI costs for companies. Currently, the price of integrating generative AI into your business varies widely, from a few hundred dollars per month to hundreds of thousands of dollars for custom solutions based on fine-tuned open source models, according to software development companies. There is a possibility. Aitorex.