and that we can all put to work. And I think OpenClaw did for, did for agentic systems what ChatGPT did for generative systems. And I just think it's a very big deal.- Yeah, it's a really special moment. I'm not exactly sure why it captured so much of the world's attention, but it did,
say, 12% faster with CPU, and it has about 50% more on-device RAM for a whole bunch of AI stuff it can do like generative watch faces and raising your wrist to start talking to Gemini and start a workout, etc. It should alsohave more accurate GPS, and they also have new prices, $399 and $429 for the two sizes. And then they also dropped an
being proactive and anticipating the challenges of what it would mean to actually get it deployed on the scale of things relatively very well. Generative AI, it's relatively new.
But um I'd wish but you can speed it up by trying more things and just getting that insight into yourself of what do generative AI right now as we're recording this like that's a new thing like relatively new thing or new in this
But in chemistry, whenever you see NaCl, you see KCl a lot. Generative Adversary Networks. So I don't mean these three trends always necessarily have to work together.
threat all-all around us, and that they miss long term things that are actually gonna very consequential. generative here. People are generative in particular when they go into the zone of calm, contented, and caring.
feeling we have that keeps us from doing generous generative creative work of any kind. So for example, writer's block is resistance. For example, you're going out on a date and you change your outfit six times. Resistance shows up in so
being proactive and anticipating the challenges of what it would mean to actually get it deployed on the scale of things relatively very well. But generative AI and predictive AI, or predictive analytics-- I mean, these are perfectly well-defined things, basically.
And in other ways, I would say that I would definitely rely on the kinds of tools in LLMs more than I would apply-- or generative AI than I would rely on my own. One way we can think of it is that the brain, by some estimates, uses something like 12 to 20 watts.
They actually serve a purpose. And generative AI is a great practicing tool.
to solve these problems-- and also giving them what they call psychological safety, a culture where nobody's laughed at, where you're given space to propose something unreasonable, The generative design will use AI to come up with thousands of iterations in real time to suggest things to the human designer.
comfortable while you're doing it because if you have a little kid you can't start like farting around and writing a book and ignoring the main you know generative part of your finances um so yeah I love the strip it you know we have the great at Dar fight book my writing partner and I who I write the screenplay with not the strip uh we have a great outdoor fight
just leading on from that from that point in fact NIST NIST in fact identifies these 12 risks which are particularly accentuated by generative AI right and we and so we we we there's in fact an entire section about how we manage risk how other companies manage risks and so on um I mean take take something like uh Adobe's Firefly okay now now the way we we featured that in the
being proactive and anticipating the challenges of what it would mean to actually get it deployed on the scale of things relatively very well. And I work with generative AI with developer productivity, and this is kind of a consistent challenge.
The same is true of memory." So this quote truly transformed my way of thinking about memory and now also generative AI. Thank you. Yeah, I really enjoyed writing that because there's such a beautiful parallel between imagination and memory.
They actually serve a purpose. So I think generative AI is something all of us who study and teach communication have to figure out how to integrate positively.
They actually serve a purpose. So I see generative AI as being really helpful for communication.
to do together, and are trying to create a society around that. And I think that generative AI could be fascinating in that it could help people tell their own stories, the stories that they control.
And then we loop again through the minds of other people by circulating a draft or even just talking about our ideas. The more of those generative loops that we can create, the more enriched and enhanced our ideas become. Whereas when they stay sealed inside our head, there's no chance for those ideas and that information to get elaborated and enhanced.
to solve these problems-- and also giving them what they call psychological safety, a culture where nobody's laughed at, where you're given space to propose something unreasonable, And it's generative because it's like nature.
And we're not as sophisticated at seeing and analyzing and working with and, thereby, nurturing what is generative and beautiful and humane. And I think that you-- I know you know this.
But the question of generative design, I think that architecturally, the primary focus has been on form and representation.
This becomes the generative power of innovation, where you do it all.
It's not this generative thing, it's actually reductive.
you suddenly became enormously generative .
known as a generative grammar he identified and formalized the rules that describe not just all the existing
It's generative . And it's on your side.
it so generative ? What were the core ingredients that made it so powerful? Now, one answer which is important but a little off-topic, is the fact that they were drinking coffee,
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We can't move forward with generative AI in the creative space without, I mean, just being honest.
It's basically going to use generative AI to extend the edges of a photo, no matter what camera it was taken on, in any direction.
This this is a Google talk, right? Which is the basis for generative AI. OK, so now that we can predict as well as possible using more than just one variable at a time, then we deploy it.
being proactive and anticipating the challenges of what it would mean to actually get it deployed on the scale of things relatively very well. But the general concept applies for generative AI deployment just as well in the sense that from the get go, you need to have a concrete idea of how it's
partly because of the move to generative AI, but partly because of other things-- AI has ceased to be only a technical subject.
We definitely invested before the generative AI world.
They actually serve a purpose. Another purpose or way we can use generative AI is to help us be more concise and clear.
They actually serve a purpose. I can put them into generative AI and ask it to make it more concise and clear, reduce the number of words or focus on a particular topic.
But the problem with the generative music I was writing is that it always sounded really mechanical to me.
And that conversation is a generative process of building goodwill with that person.
They've been created by generative adversarial networks, which have generated them from thousands of pictures.
It will actually develop-- its called partially-generative research-- partially-generative algorithms.
When you're in that generative space, it's almost like being in a dream state.
The idea of creativity being generative is a very Western concept.
So you have the opportunity to be generative and we-we share that value with our students and with our teachers as well.
As YouTube becomes--is a generative space, and people come to it in order to reuse the materials there in order to produce something else.
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are we on the right track when it comes to generative AI deployment.
It's not in computable form until we had LLMs in generative AI.
And for every solid research paper that basically claims that generative AI benefits non-experts more or reduces experts performance
We are in this this crisis of like a generative AI is making us ask these