To that end, the company is putting together “a rebel alliance of sorts,” Mozilla President Mark Surman told CNBC Tuesday (Jan. 27). The goal is to make AI more trustworthy while offering a counter to massive players like OpenAI and Antrhorpic.
“It’s that spirit that a bunch of people are banding together to create something good in the world and take on this thing that threatens us,” Surman said. “It’s super corny, but people totally get it.”
According to the report, Mozilla is focused on tapping reserves worth roughly $1.4 billion to support “mission driven” tech businesses and nonprofits, with the goal of promoting AI transparency. The company also wants to serve as a counterweight to fast-growing AI firms.
CNBC notes the financial disadvantage at play here, as Antrhopic as raised more than $30 billion and OpenAI has taken in twice as much. And companies like Google and Meta are also spending billions on AI projects, from recruiting talent to funding data centers.
Still, Surman said he is not deterred, and says Mozilla — developer of the Firefox web browser — will be able to help “do for AI what we did for the web.”
Advertisement: Scroll to Continue
“There is an alternative that’s real and is emerging, and it’s a lot of small pieces that add up to that alternative,” Surman said. “The people in it are hungry to look where there’s weak spots in the current market and take advantage of them.”
In other AI news, PYMNTS wrote Tuesday about Microsoft’s launch of Maia 200, its second-generation custom AI accelerator. In its announcement, the tech giant said Maia 200 delivers up to three times higher inference performance than competing chips from rivals Amazon and Google on certain internal benchmarks.
But as the report noted, Microsoft has not released third-party validation of the results, and there aren’t yet any standardized benchmark results that independently gauge Maia 200 against Amazon or Google chips across real-world workloads.
It’s a key distinction, the report continued, as Amazon and Google have spent years refining their own custom AI processors and are still heavily invested in inference optimization. Performance here can vary substantially depending on model architecture, precision format and deployment environment.
“The Maia 200 launch also reflects Microsoft’s broader vertical-integration strategy,” PYMNTS added. “As AI demand strains global chip supply and drives up costs, owning more of the hardware stack gives cloud providers greater control over pricing, performance and product road maps.”
