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You're listening to the Exchange. Here's today's show. Thank you Mike. Hope all is well down there. By the way, bitcoin is on the rebound today and a code red has been issued in the arms race. Welcome to the Exchange. I'm Kelly Evans. Let's get a quick check on the markets with stocks as you can see kind of higher across the board but the NASDAQ is leading the way and we'll talk more about that as tech and crypto find their footing. The small caps struggling somewhat to stay positive, still lagging year to date and bonds are pretty muted this hour. The AI plays the semis, the software, those are all leading the way today. You can see in video and intel among the best performers. But again Nvidia's up 1%. The real standout is actually not really a tech name at all. It's Boeing today, the surprising winner with a nearly 9% surge on some positive commentary earlier on it's leading the Dow and positive cash free cash flow guidance is one reason why this name and a lot of the industrials by the way are rallying in sympathy. We'll talk to Cantrell about that. Crypto is helping the risk on trade. Bitcoin's up 7% after having its worst day since March. Can you trust the comeback? We will dive into that topic a little later on, but let's start with the latest developments around AI with Sam Altman reportedly issuing a code red at an open AI to focus all efforts on improving the quality of ChatGPT. Meanwhile, Apple shaking up its own leadership for the AI world and Amazon is rolling out a new in house chip. We've got a full team here to discuss it. CNBC's Dear Jerbosa and Steve Kovac. We also have Tae Kim, he's the senior tech writer at Barron's, the author of the Nvidia Way, Jensen Huang and the Making of a Tech Giant. It's good to have you guys all here. Steve, let's just start. Who should I go to? Dear Joel, I'll go to you on this with what we know exactly about this code Reddit OpenAI as I understand it, they have red and yellow and green are kind of general working terms around the office. And is this all because what is the problem exactly, from a user point of view? The new models understand we have thinking mode, we have regular mode. The thinking mode can sometimes take literally four minutes to give an answer. So I don't use it. A lot of other people do. I mean, is that the essence of what's. What the problem is here with the latest Chat GPT models?
