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Listen now. Welcome to Tech News Briefing. It's Friday, October 4th. I'm Zoe Thomas for the Wall Street Journal.

Off-the-shelf large language artificial intelligence models like ChatGPT and Claude know a lot, but maybe not what companies need them to know.

That's forcing companies to augment today's general models

with industry or business specific information to make them useful. We'll tell

you more. And then Silicon Valley's startup culture loves a good motto.

Move fast and break things, ask forgiveness, not permission,

startups that win, keep winning. But financial regulators are sending a message that

fake it till you make it isn't an excuse for fraud. Our reporter Mark Vardabedian is going to tell us about the efforts to crack down on startups misleading or defrauding investors.

But first, generative AI's foundation models can be trained on vast troves of online data,

but still lack deep specific knowledge even on mainstream topics. That means companies have to take additional steps to make these models

more useful. Here to tell us more is W.S.J. C.O. Journal reporter Isabel Busquet.

So Isabel, you write in your story that today's AI models are

about as useful out of the box as a new employee entering orientation.

Why is that? The models know and

understand the information they've been trained on and they've been trained on a

ton of information all this stuff that's publicly available on the internet

they've been trained on.

...