Y Combinator’s Garry Tan supports some AI regulation but warns against AI monopolies

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Garry Tan, president and CEO of Y Combinator, told a crowd at The Economic Club of Washington, D.C. this week that “regulation is probably going crucial” for artificial intelligence.

Tan spoke with Teresa Carlson, a General Catalyst board member, as a part of a one-on-one interview where he discussed all the things from easy methods to get into Y Combinator to AI, noting that there may be “no higher time to be working in technology than straight away.”

Tan said he was “overall supportive” of the National Institute of Standards and Technology (NIST) try and construct a GenAI risk mitigation framework, and said that “large parts of the EO by the Biden administration are probably on the best track.”

NIST’s framework proposes things like defining that GenAI should comply with existing laws that govern things like data privacy and copyright; disclosing GenAI use to finish users; establishing regulations that ban GenAI from creating child sexual abuse materials, and so forth. Biden’s executive order covers a big selection of dictums, from requiring AI firms to share safety data with the federal government to making sure that small developers have fair access.

But Tan, like many Valley VCs, was wary of other regulatory efforts. He called bills related to AI which are moving through the California and San Francisco legislatures, “very concerning.”

One such California bill that’s causing a stir is the one put forth by state Sen. Scott Wiener that will allow the attorney general to sue AI firms if their wares are harmful, Politico reports. 

“The large discussion broadly when it comes to policy straight away is what does a very good version of this really appear to be?” Tan said. “We will look to people like Ian Hogarth, within the U.K., to be thoughtful. They’re also mindful of this concept of concentration of power. At the identical time, they’re attempting to work out how we support innovation while also mitigating the worst possible harms.” 

Hogarth is a former YC entrepreneur and AI expert who’s been tapped by the U.K. to create an AI model taskforce.

“The thing that scares me is that if we try to handle a sci-fi concern that is just not present at hand,” Tan said.

As for a way YC manages responsibility, Tan said that if the organization doesn’t agree with a startup’s mission or what that product would do for society, “YC just doesn’t fund it.” He noted that there are several times when he would examine an organization within the media that had applied to YC. 

“We return and have a look at the interview notes, and it’s like, we don’t think this is sweet for society. And thankfully, we didn’t fund it,” he said.

Artificial intelligence leaders keep messing up

Tan’s guideline still leaves room for Y Combinator to crank out lots of AI startups as cohort grads. As my colleague Kyle Wiggers reported, the Winter 2024 cohort had 86 AI startups, nearly double the number from the Winter 2023 batch and shut to triple the number from Winter 2021, based on YC’s official startup directory.

And up to date news events are making people wonder in the event that they can trust those selling AI products to be those to define responsible AI. Last week, TechCrunch reported that OpenAI is eliminating its AI responsibility team.

Then there was the debacle related to the corporate using a voice that appeared like actress Scarlett Johansson’s when demoing its latest GPT-4o model. Seems, she was asked about using her voice, and he or she turned them down. OpenAI has since removed the Sky voice, though it denied it was based on Johansson. That, and issues around OpenAI’s ability to claw back vested worker equity, were amongst several items that led folks to openly query Sam Altman’s scruples. 

Meanwhile, Meta made AI news of its own when it announced the creation of an AI advisory council that only had white men on it, effectively leaving out women and other people of color, lots of whom played a key role within the creation and innovation of that industry. 

Tan didn’t reference any of those instances. Like most Silicon Valley VCs, what he sees is opportunities for brand new, huge, lucrative businesses. 

“We prefer to take into consideration startups as an idea maze,” Tan said. “When a brand new technology comes out, like large language models, the entire idea maze gets shaken up. ChatGPT itself was probably certainly one of the fastest-to-success consumer products to be released in recent memory. And that’s excellent news for founders.”

Artificial intelligence of the longer term

Tan also said that San Francisco is at the middle of the AI movement. For instance, that’s where Anthropic, began by YC alums, got its start, and OpenAI, which was a YC spinout. 

Tan also joked that he wasn’t going to follow in Altman’s footsteps, noting that Altman “had my job a lot of years ago, so no plans on starting an AI lab.”

One in every of the opposite YC success stories is legal tech startup Casetext, which sold to Thomson Reuters for $600 million in 2023. Tan believed Casetext was certainly one of the primary firms on the planet to get access to generative AI and was then certainly one of the primary exits in generative AI.

When seeking to the longer term of AI, Tan said that “obviously, now we have to be smart about this technology” because it pertains to risks around bioterror and cyberattacks. At the identical time, he said there ought to be “a rather more measured approach.”

He also assumes that there isn’t more likely to be a “winner take all” model, but slightly an “incredible garden of consumer alternative of freedom and of founders to have the ability to create something that touches a billion people.”

At the least, that’s what he desires to see occur. That will be in his and YC’s best interest — a lot of successful startups returning a lot of money to investors. So what scares Tan most isn’t run-amok evil AIs, but a scarcity of AIs to select from.

“We would actually find ourselves on this other really monopolistic situation where there’s great concentration in only just a few models. You then’re talking about rent extraction, and you may have a world that I don’t need to live in.”

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