alex karp, the ceo of palantir. you have deepened your activity in ukraine. using ai in one case to help with reconstruction. just explained the work. alex: my real answer is ask the russians. ed: what do you mean by that? alex: ask ukrainians, asked people on the battlefield. the effectiveness of our product. there is very little we can say. you can read what the ukrainians say they use. targeting according to reports has gone up, given the use of ai products, potentially ours, by 20x to 50x. these have changed the course of history and will continue to change the course of history. ed: do we already have in the military use case an arms race between powers like u.s., russia and china. alex: yes and we have an advantage. if we do not get on her own way -- ed: when you say we, what do you mean? alex: america has the best software companies in the world. they come from. a sliver of america. we need to get to a point where 1% of our spending on defense go to products that have been proven on the battlefield, not powerpoints. in the large language model, in ai, w

that was exclusive sound from the palantir ceo, alex karp.here has been a lot of hype around names like c3.ai, but that stock is falling today after revenue forecast that disappointed investors. analysts want to see more growth drivers that lead to revenue and ultimately help the company in terms of further justification for the stock. we've seen shares of other ai- related companies on the move as well today. i was talking earlier about how nvidia is outperforming. soundhound and bigbear are under pressure, a reminder to the unease that c3 was up last month. matt: but very different size and scope. we look at nvidia, we are talking about a company that is worth about a trillion dollars. when we look at c3.ai, we are talking about a company that is worth $3 billion. far, far less, exponentially less. if you take a look at the market, bloomberg intelligence is saying that the release of artificial intelligence tools like chatgpt are set to fuel a decade-long boom that grows to about $1.3 trillion in total revenue for generative ai by 2032. for