i feel like a big argument for like agi. a.i. is notion of of curing diseases, etc., like companies like moderna view themselves as platforms and use software a bunch. and that one i find hard to reason with. i'm just curious what you think about like biotech fuzing with software and like where that's how how you how your is about that. yeah, i try to think about this in the book and write about it in the in the a.i. chapter. right. i think to your question before, it's like, well, is it good at what can it do? what are the real limitations there? and i think it's you know, if you've got the data inputs right and you know that you're trying to optimize for like detecting something in an x ray, i think like i actually will outcompete human error. i do. i do believe that. like, i think that that i think it would be hard you'd be hard pressed to say that that's not going to happen. right. i think the question is no one's really thinking about or i guess they are thinking it they call alignment but i think it's a lot of -- really but

tom: is that a bet that anthropic wins out versus openai when it comes to the race for agi?investment an investment stems from their focus on the frontier and the fact that there are a variety of important technologies. these are in futures, this is scaling intelligence itself, this is creating a way for computers to act independently, which is what we call agents. this is technology to ensure they are trustworthy and understandable. all of those technologies together, those are the things that we believe anthropic and focusing on advancing the artificial intelligence are going to happen. those are the things of businesses, if governments, if we will take these intelligent computers and let them act in society and some independent way and affect our constituents, these things all have to be there in anthropic has a very maniacal mission to make sure that artificial intelligence is deliver that way. tom: before we let you go, correct me if i'm wrong. there were reports you raise another 7 billion dollars and you were in the process of doing that for your lps, where are you an

we are going after what we might call agi.e a frontier ai company similar to openai and pushing the boundaries on that. we do not need to get into that, but it is very technical reasons and many folks end up in what i would call the ai consumer camp. they will be five or six large winners who build out the core infrastructure of artificial intelligence and the rest of the folks will consume artificial intelligence produced by those companies. caroline: so you see yourself as an infrastructure player. do you see yourself as a valuation perspective? tell us about funding needs and whether you are out there raising money to do this. >> we are building artificial intelligence models and at some point we have to consider how much compute capacity we have and that is a proxy for how fast you can go or how big you can go. that is always going to be a topic. caroline: so you are not raising money. jason: not right now. caroline: what about compute and what is holding you back? is it energy infrastructure? is it access to data centers?

. >> will china be in the agi domain? >> china is doing well. you mentioned deepseek. i like to characterize deepseek as one third of the technology was stolen. china is good at that. one third of the technology was clever hacks. one third of the technology was real innovation. give them credit for that and the rest of the world has learned. but by far the largest contribution that deepseek made, and they made a valuable contribution, was convince all kinds of young technologists all over the world to say isn't restricted to the model providers with a billion-dollar data center. anyone can innovate. freeing up people's belief systems of who can innovate is the largest contribution deepseek has made. . and i'm really glad for that. i think we are in a race with china. but by and large, we will see accelerating innovation. not flattening innovation. >> is very risk that innovation is stymied by lack of consistency from a regulatory perspective? from a tariff perspective? >> i don't care about tariffs. those are short term. i would like to say we have to keep our eyes on

color="#00ff00">il a agi pour les philippines. placé en détention. la cour prévoit de l'interroger lors d'une audience de comparution initiale dont la date est encore inconnue. - damien coquet: il est attendu dans la matinée sur place. importer de l'acier ou de l'aluminium canadien aux etats-unis coûte maintenant plus cher. ils sont désormais taxés à 25 %, avec l'entrée en vigueur de la hausse des droits de douane. cela aurait pu être encore pire. la province canadienne d'ontario a menacé de surtaxer, voire de couper ses exportations d'électricité vers 3 etats américains. donald trump a menacé de taxer davantage l'acier et l'aluminium canadiens, à 50 %. une surenchère qui a pris fin ces dernières heures. - entre les etats-unis et le canada, une guerre commerciale qui connaît