Podcasts about DARPA

Simply Murder. Whistleblower comes forward in NZ with documents showing some batches of TrumpShots had over 20% of deaths — immediately! This follows whistleblower data showing that elites had given themselves and some doctors/nurses vaccine exemption while having some of the most intolerant mandates anywhere"White Lung Syndrome". Is this anything new or merely a hyped sequel to the "pandemic"? The timing is even more suspiciousDeSantis / Newsome debate shows why Democrats prefer censorship to debate. Florida's Democrat Party has decided to pretend there are no other candidates (Congressman Dean Phillips just entered, Marrianne Williamson has been in) and skip the primary. No primary, no debate — but hey, Democracy!DARPA & GE weapons research hacked — included mRNA experiments In Ireland, Limerick Councilman (an immigrant from Bangladesh) demanded police shoot Irish protestors in the head, beat them to death. And now signs saying "Irish Lives Matter" are "hate speech". The Irish government has a public plan to flood Ireland with Muslims from Northern Africa and the MidEastINTERVIEW What's Next in War, Economy, GoldGerald Celente, TrendsJournal.com — everyone now agrees that interest rates will go down next year as Gerald has been saying but will it be sooner or later? With Ukraine doing so poorly on the battlefield, what will they do to continue the war? And the Israeli war resumes…Find out more about the show and where you can watch it at TheDavidKnightShow.comIf you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Money is only what YOU hold: Go to DavidKnight.gold for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to TrendsJournal.com and enter the code KNIGHT

Simply Murder. Whistleblower comes forward in NZ with documents showing some batches of TrumpShots had over 20% of deaths — immediately! This follows whistleblower data showing that elites had given themselves and some doctors/nurses vaccine exemption while having some of the most intolerant mandates anywhere"White Lung Syndrome". Is this anything new or merely a hyped sequel to the "pandemic"? The timing is even more suspiciousDeSantis / Newsome debate shows why Democrats prefer censorship to debate. Florida's Democrat Party has decided to pretend there are no other candidates (Congressman Dean Phillips just entered, Marrianne Williamson has been in) and skip the primary. No primary, no debate — but hey, Democracy!DARPA & GE weapons research hacked — included mRNA experiments In Ireland, Limerick Councilman (an immigrant from Bangladesh) demanded police shoot Irish protestors in the head, beat them to death. And now signs saying "Irish Lives Matter" are "hate speech". The Irish government has a public plan to flood Ireland with Muslims from Northern Africa and the MidEastINTERVIEW What's Next in War, Economy, GoldGerald Celente, TrendsJournal.com — everyone now agrees that interest rates will go down next year as Gerald has been saying but will it be sooner or later? With Ukraine doing so poorly on the battlefield, what will they do to continue the war? And the Israeli war resumes…Find out more about the show and where you can watch it at TheDavidKnightShow.comIf you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Money is only what YOU hold: Go to DavidKnight.gold for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to TrendsJournal.com and enter the code KNIGHT

New hate speech law in Ireland goes farther than anything else so far in formerly free Western countries with the stated purpose of imprisoning government critics — will Irish flags be an arrestable offense by the Greens & commies who have taken over the country? Why are more whistleblowers coming forward about government using social media for censorship and propaganda narratives?It was being run by Special Forces, CIA, NSA, DARPA, funded by the same, yet they claim that by making it "public-private partnership" they could get around the Constitution This is much deeper and older than this article and the newly published info alleges, but the whistleblower document names names — so what should be done to these criminals and violators of the Constitution they swore to uphold?Ron Paul calls for "separation of tech & state". What does that mean? Will it work?A look at the "bump-stock ban" equivalents of free speech and free exercise of religion. Things that are not important in themselves except for the precedent they set and the strategies they use to take control…Self-identified pedophile tranny finally arrested after 5 years of threats to murder — he was protected by feds like the tranny-festo in NashvilleMeatless robot restaurants open as Thomas Massie pushes to make real farming legal againSports mascots, racist reporters — will the "Chiefs" mascot be the Cowardly Lion?Why is Santa always white? School pushes CRT against Christmas "Christian Privilege, Hegemony, and the Winter Holiday Season," "Dear White People, the Holiday Season is the Best Time to Tell Our Grandparents To Stop Being Racist"INTERVIEW New Founding — Building Companies That Promote Excellence, Reject DEI Nate Fisher, founder of New Founding, on building a parallel society with companies and institutions that embrace merit, American ideals, and a positive vision in a society dominated by institutions that elevate ESG/DEI in opposition to those valuesFind out more about the show and where you can watch it at TheDavidKnightShow.comIf you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Money is only what YOU hold: Go to DavidKnight.gold for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to TrendsJournal.com and enter the code KNIGHT

New hate speech law in Ireland goes farther than anything else so far in formerly free Western countries with the stated purpose of imprisoning government critics — will Irish flags be an arrestable offense by the Greens & commies who have taken over the country? Why are more whistleblowers coming forward about government using social media for censorship and propaganda narratives?It was being run by Special Forces, CIA, NSA, DARPA, funded by the same, yet they claim that by making it "public-private partnership" they could get around the Constitution This is much deeper and older than this article and the newly published info alleges, but the whistleblower document names names — so what should be done to these criminals and violators of the Constitution they swore to uphold?Ron Paul calls for "separation of tech & state". What does that mean? Will it work?A look at the "bump-stock ban" equivalents of free speech and free exercise of religion. Things that are not important in themselves except for the precedent they set and the strategies they use to take control…Self-identified pedophile tranny finally arrested after 5 years of threats to murder — he was protected by feds like the tranny-festo in NashvilleMeatless robot restaurants open as Thomas Massie pushes to make real farming legal againSports mascots, racist reporters — will the "Chiefs" mascot be the Cowardly Lion?Why is Santa always white? School pushes CRT against Christmas "Christian Privilege, Hegemony, and the Winter Holiday Season," "Dear White People, the Holiday Season is the Best Time to Tell Our Grandparents To Stop Being Racist"INTERVIEW New Founding — Building Companies That Promote Excellence, Reject DEI Nate Fisher, founder of New Founding, on building a parallel society with companies and institutions that embrace merit, American ideals, and a positive vision in a society dominated by institutions that elevate ESG/DEI in opposition to those valuesFind out more about the show and where you can watch it at TheDavidKnightShow.comIf you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Money is only what YOU hold: Go to DavidKnight.gold for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to TrendsJournal.com and enter the code KNIGHT

Guest: Andrew Strutt, Hacker and Defense Agency Contractor [@2600net]On Twitter | https://twitter.com/andrew_struttOn LinkedIn | https://www.linkedin.com/in/andrew-strutt-b457a252/On Facebook | https://www.facebook.com/groups/2600netOn YouTube | https://www.youtube.com/@HackerVideoHost: Deb RadcliffOn ITSPmagazine  

Chimera, Aliquippa, FNF, Lazarus, DARPA, Ransom Payments, Namedrop, Google, Aaran Leyland, and more are on this edition of the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Visit https://www.securityweekly.com/swn for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Show Notes: https://securityweekly.com/swn-344

Chimera, Aliquippa, FNF, Lazarus, DARPA, Ransom Payments, Namedrop, Google, Aaran Leyland, and more are on this edition of the Security Weekly News. Show Notes: https://securityweekly.com/swn-344

Chimera, Aliquippa, FNF, Lazarus, DARPA, Ransom Payments, Namedrop, Google, Aaran Leyland, and more are on this edition of the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Visit https://www.securityweekly.com/swn for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Show Notes: https://securityweekly.com/swn-344

A conversation with Tim Hwang about historical simulations, the interaction of policy and science, analogies between research ecosystems and the economy, and so much more.  Topics Historical Simulations Macroscience Macro-metrics for science Long science The interaction between science and policy Creative destruction in research “Regulation” for scientific markets Indicators for the health of a field or science as a whole “Metabolism of Science” Science rotation programs Clock speeds of Regulation vs Clock Speeds of Technology References Macroscience Substack Ada Palmer's Papal Simulation Think Tank Tycoon Universal Paperclips (Paperclip maximizer html game) Pitt Rivers Museum   Transcript [00:02:02] Ben: Wait, so tell me more about the historical LARP that you're doing. Oh, [00:02:07] Tim: yeah. So this comes from like something I've been thinking about for a really long time, which is You know in high school, I did model UN and model Congress, and you know, I really I actually, this is still on my to do list is to like look into the back history of like what it was in American history, where we're like, this is going to become an extracurricular, we're going to model the UN, like it has all the vibe of like, after World War II, the UN is a new thing, we got to teach kids about international institutions. Anyways, like, it started as a joke where I was telling my [00:02:35] friend, like, we should have, like, model administrative agency. You know, you should, like, kids should do, like, model EPA. Like, we're gonna do a rulemaking. Kids need to submit. And, like, you know, there'll be Chevron deference and you can challenge the rule. And, like, to do that whole thing. Anyways, it kind of led me down this idea that, like, our, our notion of simulation, particularly for institutions, is, like, Interestingly narrow, right? And particularly when it comes to historical simulation, where like, well we have civil war reenactors, they're kind of like a weird dying breed, but they're there, right? But we don't have like other types of historical reenactments, but like, it might be really valuable and interesting to create communities around that. And so like I was saying before we started recording, is I really want to do one that's a simulation of the Cuban Missile Crisis. But like a serious, like you would like a historical reenactment, right? Yeah. Yeah. It's like everybody would really know their characters. You know, if you're McNamara, you really know what your motivations are and your background. And literally a dream would be a weekend simulation where you have three teams. One would be the Kennedy administration. The other would be, you know, Khrushchev [00:03:35] and the Presidium. And the final one would be the, the Cuban government. Yeah. And to really just blow by blow, simulate that entire thing. You know, the players would attempt to not blow up the world, would be the idea. [00:03:46] Ben: I guess that's actually the thing to poke, in contrast to Civil War reenactment. Sure, like you know how [00:03:51] Tim: that's gonna end. Right, [00:03:52] Ben: and it, I think it, that's the difference maybe between, in my head, a simulation and a reenactment, where I could imagine a simulation going [00:04:01] Tim: differently. Sure, right. [00:04:03] Ben: Right, and, and maybe like, is the goal to make sure the same thing happened that did happen, or is the goal to like, act? faithfully to [00:04:14] Tim: the character as possible. Yeah, I think that's right, and I think both are interesting and valuable, right? But I think one of the things I'm really interested in is, you know, I want to simulate all the characters, but like, I think one of the most interesting things reading, like, the historical record is just, like, operating under deep uncertainty about what's even going on, right? Like, for a period of time, the American [00:04:35] government is not even sure what's going on in Cuba, and, like, you know, this whole question of, like, well, do we preemptively bomb Cuba? Do we, we don't even know if the, like, the warheads on the island are active. And I think I would want to create, like, similar uncertainty, because I think that's where, like, that's where the strategic vision comes in, right? That, like, you have the full pressure of, like, Maybe there's bombs on the island. Maybe there's not even bombs on the island, right? And kind of like creating that dynamic. And so I think simulation is where there's a lot, but I think Even reenactment for some of these things is sort of interesting. Like, that we talk a lot about, like, oh, the Cuban Missile Crisis. Or like, the other joke I had was like, we should do the Manhattan Project, but the Manhattan Project as, like, historical reenactment, right? And it's kind of like, you know, we have these, like, very, like off the cuff or kind of, like, stereotype visions of how these historical events occur. And they're very stylized. Yeah, exactly, right. And so the benefit of a reenactment that is really in detail Yeah. is like, oh yeah, there's this one weird moment. You know, like that, that ends up being really revealing historical examples. And so even if [00:05:35] you can't change the outcome, I think there's also a lot of value in just doing the exercise. Yeah. Yeah. The, the thought of [00:05:40] Ben: in order to drive towards this outcome that I know. Actually happened I wouldn't as the character have needed to do X. That's right That's like weird nuanced unintuitive thing, [00:05:50] Tim: right? Right and there's something I think about even building into the game Right, which is at the very beginning the Russians team can make the decision on whether or not they've even actually deployed weapons into the cube at all, yeah, right and so like I love that kind of outcome right which is basically like And I think that's great because like, a lot of this happens on the background of like, we know the history. Yeah. Right? And so I think like, having the team, the US team put under some pressure of uncertainty. Yeah. About like, oh yeah, they could have made the decision at the very beginning of this game that this is all a bluff. Doesn't mean anything. Like it's potentially really interesting and powerful, so. [00:06:22] Ben: One precedent I know for this completely different historical era, but there's a historian, Ada Palmer, who runs [00:06:30] Tim: a simulation of a people election in her class every year. That's so good. [00:06:35] And [00:06:36] Ben: it's, there, you know, like, it is not a simulation. [00:06:40] Tim: Or, [00:06:41] Ben: sorry, excuse me, it is not a reenactment. In the sense that the outcome is indeterminate. [00:06:47] Tim: Like, the students [00:06:48] Ben: can determine the outcome. But... What tends to happen is like structural factors emerge in the sense that there's always a war. Huh. The question is who's on which sides of the war? Right, right. And what do the outcomes of the war actually entail? That's right. Who [00:07:05] Tim: dies? Yeah, yeah. And I [00:07:07] Ben: find that that's it's sort of Gets at the heart of the, the great [00:07:12] Tim: man theory versus the structural forces theory. That's right. Yeah. Like how much can these like structural forces actually be changed? Yeah. And I think that's one of the most interesting parts of the design that I'm thinking about right now is kind of like, what are the things that you want to randomize to impose different types of like structural factors that could have been in that event? Right? Yeah. So like one of the really big parts of the debate at XCOM in the [00:07:35] early phases of the Cuban Missile Crisis is You know, McNamara, who's like, right, he runs the Department of Defense at the time. His point is basically like, look, whether or not you have bombs in Cuba or you have bombs like in Russia, the situation has not changed from a military standpoint. Like you can fire an ICBM. It has exactly the same implications for the U. S. And so his, his basically his argument in the opening phases of the Cuban Missile Crisis is. Yeah. Which is actually pretty interesting, right? Because that's true. But like, Kennedy can't just go to the American people and say, well, we've already had missiles pointed at us. Some more missiles off, you know, the coast of Florida is not going to make a difference. Yeah. And so like that deep politics, and particularly the politics of the Kennedy administration being seen as like weak on communism. Yeah. Is like a huge pressure on all the activity that's going on. And so it's almost kind of interesting thinking about the Cuban Missile Crisis, not as like You know us about to blow up the world because of a truly strategic situation but more because of like the local politics make it so difficult to create like You know situations where both sides can back down [00:08:35] successfully. Basically. Yeah [00:08:36] Ben: The the one other thing that my mind goes to actually to your point about it model UN in schools. Huh, right is Okay, what if? You use this as a pilot, and then you get people to do these [00:08:49] Tim: simulations at [00:08:50] Ben: scale. Huh. And that's actually how we start doing historical counterfactuals. Huh. Where you look at, okay, you know, a thousand schools all did a simulation of the Cuban Missile Crisis. In those, you know, 700 of them blew [00:09:05] Tim: up the world. Right, right. [00:09:07] Ben: And it's, it actually, I think it's, That's the closest [00:09:10] Tim: thing you can get to like running the tape again. Yeah. I think that's right. And yeah, so I think it's, I think it's a really underused medium in a lot of ways. And I think particularly as like you know, we just talk, talk like pedagogically, like it's interesting that like, it seems to me that there was a moment in American pedagogical history where like, this is a good way of teaching kids. Like, different types of institutions. And like, but it [00:09:35] hasn't really matured since that point, right? Of course, we live in all sorts of interesting institutions now. And, and under all sorts of different systems that we might really want to simulate. Yeah. And so, yeah, this kind of, at least a whole idea that there's lots of things you could teach if you, we like kind of opened up this way of kind of like, Thinking about kind of like educating for about institutions. Right? So [00:09:54] Ben: that is so cool. Yeah, I'm going to completely, [00:09:59] Tim: Change. Sure. Of course. [00:10:01] Ben: So I guess. And the answer could be no, but is, is there connections between this and your sort of newly launched macroscience [00:10:10] Tim: project? There is and there isn't. Yeah, you know, I think like the whole bid of macroscience which is this project that I'm doing as part of my IFP fellowship. Yeah. Is really the notion that like, okay, we have all these sort of like interesting results that have come out of metascience. That kind of give us like, kind of like the beginnings of a shape of like, okay, this is how science might work and how we might like get progress to happen. And you know, we've got [00:10:35] like a bunch of really compelling hypotheses. Yeah. And I guess my bit has been like, I kind of look at that and I squint and I'm like, we're, we're actually like kind of in the early days of like macro econ, but for science, right? Which is like, okay, well now we have some sense of like the dynamics of how the science thing works. What are the levers that we can start, like, pushing and pulling, and like, what are the dials we could be turning up and turning down? And, and, you know, I think there is this kind of transition that happens in macro econ, which is like, we have these interesting results and hypotheses, but there's almost another... Generation of work that needs to happen into being like, oh, you know, we're gonna have this thing called the interest rate Yeah, and then we have all these ways of manipulating the money supply and like this is a good way of managing like this economy Yeah, right and and I think that's what I'm chasing after with this kind of like sub stack but hopefully the idea is to build it up into like a more coherent kind of framework of ideas about like How do we make science policy work in a way that's better than just like more science now quicker, please? Yeah, right, which is I think we're like [00:11:35] we're very much at at the moment. Yeah, and in particular I'm really interested in the idea of chasing after science almost as like a Dynamic system, right? Which is that like the policy levers that you have You would want to, you know, tune up and tune down, strategically, at certain times, right? And just like the way we think about managing the economy, right? Where you're like, you don't want the economy to overheat. You don't want it to be moving too slow either, right? Like, I am interested in kind of like, those types of dynamics that need to be managed in science writ large. And so that's, that's kind of the intuition of the project. [00:12:04] Ben: Cool. I guess, like, looking at macro, how did we even decide, macro econ, [00:12:14] Tim: how did we even decide that the things that we're measuring are the right things to measure? Right? Like, [00:12:21] Ben: isn't it, it's like kind of a historical contingency that, you know, it's like we care about GDP [00:12:27] Tim: and the interest rate. Yeah. I think that's right. I mean in, in some ways there's a triumph of like. It's a normative triumph, [00:12:35] right, I think is the argument. And you know, I think a lot of people, you hear this argument, and it'll be like, And all econ is made up. But like, I don't actually think that like, that's the direction I'm moving in. It's like, it's true. Like, a lot of the things that we selected are arguably arbitrary. Yeah. Right, like we said, okay, we really value GDP because it's like a very imperfect but rough measure of like the economy, right? Yeah. Or like, oh, we focus on, you know, the money supply, right? And I think there's kind of two interesting things that come out of that. One of them is like, There's this normative question of like, okay, what are the building blocks that we think can really shift the financial economy writ large, right, of which money supply makes sense, right? But then the other one I think which is so interesting is like, there's a need to actually build all these institutions. that actually give you the lever to pull in the first place, right? Like, without a federal reserve, it becomes really hard to do monetary policy. Right. Right? Like, without a notion of, like, fiscal policy, it's really hard to do, like, Keynesian as, like, demand side stuff. Right. Right? And so, like, I think there's another project, which is a [00:13:35] political project, to say... Okay, can we do better than just grants? Like, can we think about this in a more, like, holistic way than simply we give money to the researchers to work on certain types of problems. And so this kind of leads to some of the stuff that I think we've talked about in the past, which is like, you know, so I'm obsessed right now with like, can we influence the time horizon of scientific institutions? Like, imagine for a moment we had a dial where we're like, On average, scientists are going to be thinking about a research agenda which is 10 years from now versus next quarter. Right. Like, and I think like there's, there's benefits and deficits to both of those settings. Yeah. But man, if I don't hope that we have a, a, a government system that allows us to kind of dial that up and dial that down as we need it. Right. Yeah. The, the, [00:14:16] Ben: perhaps, quite like, I guess a question of like where the analogy like holds and breaks down. That I, that I wonder about is, When you're talking about the interest rate for the economy, it kind of makes sense to say [00:14:35] what is the time horizon that we want financial institutions to be thinking on. That's like roughly what the interest rate is for, but it, and maybe this is, this is like, I'm too, [00:14:49] Tim: my note, like I'm too close to the macro, [00:14:51] Ben: but thinking about. The fact that you really want people doing science on like a whole spectrum of timescales. And, and like, this is a ill phrased question, [00:15:06] Tim: but like, I'm just trying to wrap my mind around it. Are you saying basically like, do uniform metrics make sense? Yeah, exactly. For [00:15:12] Ben: like timescale, I guess maybe it's just. is an aggregate thing. [00:15:16] Tim: Is that? That's right. Yeah, I think that's, that's, that's a good critique. And I think, like, again, I think there's definitely ways of taking the metaphor too far. Yeah. But I think one of the things I would say back to that is It's fine to imagine that we might not necessarily have an interest rate for all of science, right? So, like, you could imagine saying, [00:15:35] okay, for grants above a certain size, like, we want to incentivize certain types of activity. For grants below a certain size, we want different types of activity. Right, another way of slicing it is for this class of institutions, we want them to be thinking on these timescales versus those timescales. Yeah. The final one I've been thinking about is another way of slicing it is, let's abstract away institutions and just think about what is the flow of all the experiments that are occurring in a society? Yeah. And are there ways of manipulating, like, the relative timescales there, right? And that's almost like, kind of like a supply based way of looking at it, which is... All science is doing is producing experiments, which is like true macro, right? Like, I'm just like, it's almost offensively simplistic. And then I'm just saying like, okay, well then like, yeah, what are the tools that we have to actually influence that? Yeah, and I think there's lots of things you could think of. Yeah, in my mind. Yeah, absolutely. What are some, what are some that are your thinking of? Yeah, so I think like the two that I've been playing around with right now, one of them is like the idea of like, changing the flow of grants into the system. So, one of the things I wrote about in Microscience just the past week was to think [00:16:35] about, like sort of what I call long science, right? And so the notion here is that, like, if you look across the scientific economy, there's kind of this rough, like, correlation between size of grant and length of grant. Right, where so basically what it means is that like long science is synonymous with big science, right? You're gonna do a big ambitious project. Cool. You need lots and lots and lots of money Yeah and so my kind of like piece just briefly kind of argues like but we have these sort of interesting examples like the You know Like framing a heart study which are basically like low expense taking place over a long period of time and you're like We don't really have a whole lot of grants that have that Yeah. Right? And so the idea is like, could we encourage that? Like imagine if we could just increase the flow of those types of grants, that means we could incentivize more experiments that take place like at low cost over long term. Yeah. Right? Like, you know, and this kind of gets this sort of interesting question is like, okay, so what's the GDP here? Right? Like, or is that a good way of cracking some of the critical problems that we need to crack right now? Right? Yeah. And it's kind of where the normative part gets into [00:17:35] it is like, okay. So. You know, one way of looking at this is the national interest, right? We say, okay, well, we really want to win on AI. We really want to win on, like, bioengineering, right? Are there problems in that space where, like, really long term, really low cost is actually the kind of activity we want to be encouraging? The answer might be no, but I think, like, it's useful for us to have, like, that. Color in our palette of things that we could be doing Yeah. In like shaping the, the dynamics of science. Yeah. Yeah. [00:18:01] Ben: I, I mean, one of the things that I feel like is missing from the the meta science discussion Mm-Hmm. is, is even just, what are those colors? Mm-Hmm. like what, what are the, the different and almost parameters of [00:18:16] Tim: of research. Yeah. Right, right, right. And I think, I don't know, one of the things I've been thinking about, which I'm thinking about writing about at some point, right, is like this, this view is, this view is gonna piss people off in some ways, because where it ultimately goes is this idea that, like, like, the scientist or [00:18:35] science Is like a system that's subject to the government, or subject to a policy maker, or a strategist. Which like, it obviously is, right? But like, I think we have worked very hard to believe that like, The scientific market is its own independent thing, And like, that touching or messing with it is like, a not, not a thing you should do, right? But we already are. True, that's kind of my point of view, yeah exactly. I think we're in some ways like, yeah I know I've been reading a lot about Keynes, I mean it is sort of interesting that it does mirror... Like this kind of like Great Depression era economic thinking, where you're basically like the market takes care of itself, like don't intervene. In fact, intervening is like the worst possible thing you could do because you're only going to make this worse. And look, I think there's like definitely examples of like kind of like command economy science that like don't work. Yes. But like, you know, like I think most mature people who work in economics would say there's some room for like at least like Guiding the system. Right. And like keeping it like in balance is like [00:19:35] a thing that should be attempted and I think it's kind of like the, the, the argument that I'm making here. Yeah. Yeah. I [00:19:41] Ben: mean, I think that's, [00:19:42] Tim: that's like the meta meta thing. Right. Right. Is even [00:19:46] Ben: what, what level of intervention, like, like what are the ways in which you can like usefully intervene and which, and what are the things that are, that are foolish and kind of. crEate the, the, [00:20:01] Tim: Command economy. That's right. Yeah, exactly. Right. Right. And I think like, I think the way through is, is maybe in the way that I'm talking about, right? Which is like, you can imagine lots of bad things happen when you attempt to pick winners, right? Like maybe the policymaker whoever we want to think of that as like, is it the NSF or NIH or whatever? Like, you know, sitting, sitting in their government bureaucracy, right? Like, are they well positioned to make a choice about who's going to be the right solution to a problem? Maybe yes, maybe no. I think we can have a debate about that, right? But I think there's a totally reasonable position, which is they're not in it, so they're not well positioned to make that call. Yeah. [00:20:35] Right? But, are they well positioned to maybe say, like, if we gave them a dial that was like, we want researchers to be thinking about this time horizon versus that time horizon? Like, that's a control that they actually may be well positioned to inform on. Yeah. As an outsider, right? Yeah. Yeah. And some of this I think, like, I don't know, like, the piece I'm working on right now, which will be coming out probably Tuesday or Wednesday, is you know, some of this is also like encouraging creative destruction, right? Which is like, I'm really intrigued by the idea that like academic fields can get so big that they become they impede progress. Yes. Right? And so this is actually a form of like, I like, it's effectively an intellectual antitrust. Yeah. Where you're basically like, Basically, like the, the role of the scientific regulator is to basically say these fields have gotten so big that they are actively reducing our ability to have good dynamism in the marketplace of ideas. And in this case, we will, we will announce new grant policies that attempt to break this up. And I actually think that like, that is pretty spicy for a funder to do. But like actually maybe part of their role and maybe we should normalize that [00:21:35] being part of their role. Yeah. Yeah, absolutely. [00:21:37] Ben: I I'm imagining a world where There are, where this, like, sort of the macro science is as divisive as [00:21:47] Tim: macroeconomics. [00:21:48] Ben: Right? Because you have, you have your like, your, your like, hardcore free market people. Yeah. Zero government intervention. Yeah, that's right. No antitrust. No like, you know, like abolish the Fed. Right, right. All of that. Yeah, yeah. And I look forward to the day. When there's there's people who are doing the same thing for research. [00:22:06] Tim: Yeah, that's right. Yeah. Yeah when I think that's actually I mean I thought part of a lot of meta science stuff I think is this kind of like interesting tension, which is that like look politically a lot of those people in the space are Pro free market, you know, like they're they're they're liberals in the little L sense. Yeah, like at the same time Like it is true that kind of like laissez faire science Has failed because we have all these examples of like progress slowing down Right? Like, I don't know. Like, I think [00:22:35] that there is actually this interesting tension, which is like, to what degree are we okay with intervening in science to get better outcomes? Yeah. Right? Yeah. Well, as, [00:22:43] Ben: as I, I might put on my hat and say, Yeah, yeah. Maybe, maybe this is, this is me saying true as a fair science has never been tried. Huh, right. Right? Like, that, that, that may be kind of my position. Huh. But anyways, I... And I would argue that, you know, since 1945, we have been, we haven't had laissez faire [00:23:03] Tim: science. Oh, interesting. [00:23:04] Ben: Huh. Right. And so I'm, yeah, I mean, it's like, this is in [00:23:09] Tim: the same way that I think [00:23:11] Ben: a very hard job for macroeconomics is to say, well, like, do we need [00:23:15] Tim: more or less intervention? Yeah. Yeah. [00:23:17] Ben: What is the case there? I think it's the same thing where. You know, a large amount of science funding does come from the government, and the government is opinionated about what sorts of things [00:23:30] Tim: it funds. Yeah, right. Right. And you [00:23:33] Ben: can go really deep into that. [00:23:35] So, so I [00:23:35] Tim: would. Yeah, that's actually interesting. That flips it. It's basically like the current state of science. is right now over regulated, is what you'd say, right? Or, or [00:23:44] Ben: badly regulated. Huh, sure. That is the argument I would say, very concretely, is that it's badly regulated. And, you know, I might almost argue that it is... It's both over and underregulated in the sense that, well, this is, this is my, my whole theory, but like, I think that there, we need like some pockets where it's like much less regulated. Yeah. Right. Where you're, and then some pockets where you're really sort of going to be like, no. You don't get to sort of tune this to whatever your, your project, your program is. Yeah, right, right. You're gonna be working with like [00:24:19] Tim: these people to do this thing. Yeah, yeah. Yeah, and I think there actually is interesting analogies in like the, the kind of like economic regulation, economic governance world. Yeah. Where like the notion is markets generally work well, like it's a great tool. Yeah. Like let it run. [00:24:35] Right. But basically that there are certain failure states that actually require outside intervention. And I think what's kind of interesting in thinking about in like a macro scientific, if you will, context is like, what are those failure states for science? Like, and you could imagine a policy rule, which is the policymaker says, we don't intervene until we see the following signals emerging in a field or in a region. Right. And like, okay, that's, that's the trigger, right? Like we're now in recession mode, you know, like there's enough quarters of this problem of like more papers, but less results. You know, now we have to take action, right? Oh, that's cool. Yeah, yeah. That would be, that would be very interesting. And I think that's like, that's good, because I think like, we end up having to think about like, you know, and again, this is I think why this is a really exciting time, is like MetaScience has produced these really interesting results. Now we're in the mode of like, okay, well, you know, on that policymaker dashboard, Yeah. Right, like what's the meter that we're checking out to basically be like, Are we doing well? Are we doing poorly? Is this going well? Or is this going poorly? Right, like, I think that becomes the next question to like, make this something practicable Yeah. For, for [00:25:35] actual like, Right. Yeah. Yeah. One of my frustrations [00:25:38] Ben: with meta science [00:25:39] Tim: is that it, I [00:25:41] Ben: think is under theorized in the sense that people generally are doing these studies where they look at whatever data they can get. Huh. Right. As opposed to what data should we be looking at? What, what should we be looking for? Yeah. Right. Right. And so, so I would really like to have it sort of be flipped and say, okay, like this At least ideally what we would want to measure maybe there's like imperfect maybe then we find proxies for that Yeah, as opposed to just saying well, like here's what we can measure. It's a proxy for [00:26:17] Tim: okay. That's right, right Yeah, exactly. And I think a part of this is also like I mean, I think it is like Widening the Overton window, which I think like the meta science community has done a good job of is like trying to widen The Overton window of what funders are willing to do. Yeah. Or like what various existing incumbent actors are willing to [00:26:35] do. Because I think one way of getting that data is to run like interesting experiments in this space. Right? Like I think one of the things I'm really obsessed with right now is like, okay, imagine if you could change the overhead rate that universities charge on a national basis. Yeah. Right? Like, what's that do to the flow of money through science? And is that like one dial that's actually like On the shelf, right? Like, we actually have the ability to influence that if we wanted to. Like, is that something we should be running experiments against and seeing what the results are? Yeah, yeah. [00:27:00] Ben: Another would be earmarking. Like, how much money is actually earmarked [00:27:05] Tim: for different things. That's right, yeah, yeah. Like, how easy it is to move money around. That's right, yeah. I heard actually a wild story yesterday about, do you know this whole thing, what's his name? It's apparently a very wealthy donor. That has convinced the state of Washington's legislature to the UW CS department. it's like, it's written into law that there's a flow of money that goes directly to the CS department. I don't think CS departments need more money. I [00:27:35] know, I know, but it's like, this is a really, really kind of interesting, like, outcome. Yeah. Which is like a very clear case of basically just like... Direct subsidy to like, not, not just like a particular topic, but like a particular department, which I think is like interesting experiment. I don't like, I don't know what's been happening there, but yeah. Yeah. Yeah. Natural, natural experiment. [00:27:50] Ben: Totally. Has anybody written down, I assume the answer is no, but it would be very interesting if someone actually wrote down a list of sort of just all the things you [00:28:00] Tim: could possibly [00:28:00] Ben: want to pay attention to, right? Like, I mean, like. Speaking of CS, it'd be very interesting to see, like, okay, like, what fraction of the people who, like, get PhDs in an area, stay in this area, right? Like, going back to the, the [00:28:15] Tim: health of a field or something, right? Yeah, yeah. I think that's right. I, yeah. And I think that those, those types of indicators are interesting. And then I think also, I mean, in the spirit of like it being a dynamic system. Like, so a few years back I read this great bio by Sebastian Malaby called The Man Who Knew, which is, it's a bio of Alan Greenspan. So if you want to ever read, like, 800 pages about [00:28:35] Alan Greenspan, book for you. It's very good. But one of the most interesting parts about it is that, like, there's a battle when Alan Greenspan becomes head of the Fed, where basically he's, like, extremely old school. Like, what he wants to do is he literally wants to look at, like, Reams of data from like the steel industry. Yeah, because that's kind of got his start And he basically is at war with a bunch of kind of like career People at the Fed who much more rely on like statistical models for predicting the economy And I think what's really interesting is that like for a period of time actually Alan Greenspan has the edge Because he's able to realize really early on that like there's It's just changes actually in like the metabolism of the economy that mean that what it means to raise the interest rate or lower the interest rate has like very different effects than it did like 20 years ago before it got started. Yeah. And I think that's actually something that I'm also really quite interested in science is basically like When we say science, people often imagine, like, this kind of, like, amorphous blob. But, like, I think the metabolism is changing all the [00:29:35] time. And so, like, what we mean by science now means very different from, like, what we mean by science, like, even, like, 10 to 20 years ago. Yes. And, like, it also means that all of our tactics need to keep up with that change, right? And so, one of the things I'm interested in to your question about, like, has anyone compiled this list of, like, science health? Or the health of science, right? It's maybe the right way of thinking about it. is that, like, those indicators may mean very different things at different points in time, right? And so part of it is trying to understand, like, yeah, what is the state of the, what is the state of this economy of science that we're talking about? Yeah. You're kind of preaching [00:30:07] Ben: to the, to the choir. In the sense that I'm, I'm always, I'm frustrated with the level of nuance that I feel like many people who are discussing, like, science, quote, making air quotes, science and research, are, are talking about in the sense that. They very often have not actually like gone in and been part of the system. Huh, right. And I'm, I'm open to the fact that [00:30:35] you [00:30:35] Tim: don't need to have got like [00:30:36] Ben: done, been like a professional researcher to have an opinion [00:30:41] Tim: or, or come up with ideas about it. [00:30:43] Ben: Yeah. But at the same time, I feel like [00:30:46] Tim: there's, yeah, like, like, do you, do you think about that tension at all? Yeah. I think it's actually incredibly valuable. Like, I think So I think of like Death and Life of Great American Cities, right? Which is like, the, the, the really, one of the really, there's a lot of interesting things about that book. But like, one of the most interesting things is sort of the notion that like, you had a whole cabal of urban planners that had this like very specific vision about how to get cities to work right and it just turns out that like if you like are living in soho at a particular time and you like walk along the street and you like take a look at what's going on like there's always really actually super valuable things to know about yeah that like are only available because you're like at that like ultra ultra ultra ultra micro level and i do think that there's actually some potential value in there like one of the things i would love to be able to set up, like, in the community of MetaScience or whatever you want to call it, right, [00:31:35] is the idea that, like, yeah, you, you could afford to do, like, very short tours of duty, where it's, like, literally, you're just, like, spending a day in a lab, right, and, like, to have a bunch of people go through that, I think, is, like, really, really helpful and so I think, like, thinking about, like, what the rotation program for that looks like, I think would be cool, like, you, you should, you should do, like, a six month stint at the NSF just to see what it looks like. Cause I think that kind of stuff is just like, you know, well, A, I'm selfish, like I would want that, but I also think that like, it would also allow the community to like, I think be, be thinking about this in a much more applied way. Yeah. Yeah. Yeah. [00:32:08] Ben: I think it's the, the meta question there for, for everything, right? Is how much in the weeds, like, like what am I trying to say? The. It is possible both to be like two in the weeds. Yeah, right and then also like too high level Yeah, that's right. And in almost like what what is the the right amount or like? Who, who should [00:32:31] Tim: be talking to whom in that? That's right. Yeah, I mean, it's like what you were saying earlier that like the [00:32:35] success of macro science will be whether or not it's as controversial as macroeconomics. It's like, I actually hope that that's the case. It's like people being like, this is all wrong. You're approaching it like from a too high level, too abstract of a level. Yeah. I mean, I think the other benefit of doing this outside of like the level of insight is I think one of the projects that I think I have is like We need to, we need to be like defeating meta science, like a love of meta science aesthetics versus like actual like meta science, right? Like then I think like a lot of people in meta science love science. That's why they're excited to not talk about the specific science, but like science in general. But like, I think that intuition also leads us to like have very romantic ideas of like what science is and how science should look and what kinds of science that we want. Yeah. Right. The mission is progress. The mission isn't science. And so I think, like, we have to be a lot more functional. And again, I think, like, the benefit of these types of, like, rotations, like, Oh, you just are in a lab for a month. Yeah. It's like, I mean, you get a lot more of a sense of, like, Oh, okay, this is, this is what it [00:33:35] looks like. Yeah. Yeah. I'd like to do the same thing for manufacturing. Huh. Right. [00:33:39] Ben: Right. It's like, like, and I want, I want everybody to be rotating, right? Huh. Like, in the sense of, like, okay, like, have the scientists go and be, like, in a manufacturing lab. That's right. [00:33:47] Tim: Yeah. [00:33:48] Ben: And be like, okay, like, look. Like, you need to be thinking about getting this thing to work in, like, this giant, like, flow pipe instead of a [00:33:54] Tim: test tube. That's right, right. Yeah, yeah, yeah. Yeah, [00:33:57] Ben: unfortunately, the problem is that we can't all spend our time, like, if everybody was rotating through all the [00:34:03] Tim: things they need to rotate, we'd never get anything done. Yeah, exactly. [00:34:06] Ben: ANd that's, that's, that's kind of [00:34:08] Tim: the problem. Well, and to bring it all the way back, I mean, I think you started this question on macroscience in the context of transitioning away from all of this like weird Cuban Missile Crisis simulation stuff. Like, I do think one way of thinking about this is like, okay, well, if we can't literally send you into a lab, right? Like the question is like, what are good simulations to give people good intuitions about the dynamics in the space? Yeah. And I think that's, that's potentially quite interesting. Yeah. Normalized weekend long simulation. That's right. Like I love the idea of basically [00:34:35] like like you, you get to reenact the publication of a prominent scientific paper. It's like kind of a funny idea. It's just like, you know, yeah. Or, or, or even trying to [00:34:44] Ben: get research funded, right? Like, it's like, okay, like you have this idea, you want yeah. [00:34:55] Tim: I mean, yeah, this is actually a project, I mean, I've been talking to Zach Graves about this, it's like, I really want to do one which is a game that we're calling Think Tank Tycoon, which is basically like, it's a, it's a, the idea would be for it to be a strategy board game that simulates what it's like to run a research center. But I think like to broaden that idea somewhat like it's kind of interesting to think about the idea of like model NSF Yeah, where you're like you you're in you're in the hot seat you get to decide how to do granting Yeah, you know give a grant [00:35:22] Ben: a stupid thing. Yeah, some some some congressperson's gonna come banging [00:35:26] Tim: on your door Yeah, like simulating those dynamics actually might be really really helpful Yeah I mean in the very least even if it's not like a one for one simulation of the real world just to get like some [00:35:35] common intuitions about like The pressures that are operating here. I [00:35:38] Ben: think you're, the bigger point is that simulations are maybe underrated [00:35:42] Tim: as a teaching tool. I think so, yeah. Do you remember the the paperclip maximizer? Huh. The HTML game? Yeah, yeah. [00:35:48] Ben: I'm, I'm kind of obsessed with it. Huh. Because, it, you've, like, somehow the human brain, like, really quickly, with just, like, you know, some numbers on the screen. Huh. Like, just like numbers that you can change. Right, right. And some, like, back end. Dynamic system, where it's like, okay, like based on these numbers, like here are the dynamics of the [00:36:07] Tim: system, and it'll give you an update. [00:36:09] Ben: Like, you start to really get an intuition for, for system dynamics. Yeah. And so, I, I, I want to see more just like plain HTML, like basically like spreadsheet [00:36:20] Tim: backend games. Right, right, like the most lo fi possible. Yeah, I think so. Yeah. Yeah, I think it's helpful. I mean, I think, again, particularly in a world where you're thinking about, like, let's simulate these types of, like, weird new grant structures that we might try out, right? Like, you know, we've got a bunch [00:36:35] of hypotheses. It's kind of really expensive and difficult to try to get experiments done, right? Like, does a simulation with a couple people who are well informed give us some, at least, inclinations of, like, where it might go or, like, what are the unintentional consequences thereof? Yeah. [00:36:51] Ben: Disciplines besides the military that uses simulations [00:36:56] Tim: successfully. Not really. And I think what's kind of interesting is that like, I think it had a vogue that like has kind of dissipated. Yeah, I think like the notion of like a a game being the way you kind of do like understanding of a strategic situation, I think like. Has kind of disappeared, right? But like, I think a lot of it was driven, like, RAND actually had a huge influence, not just on the military. But like, there's a bunch of corporate games, right? That were like, kind of invented in the same period. Yeah. That are like, you determine how much your steel production is, right? And was like, used to teach MBAs. But yeah, I think it's, it's been like, relatively limited. Hm. [00:37:35] Yeah. It, yeah. Hm. [00:37:38] Ben: So. Other things. Huh. Like, just to, [00:37:41] Tim: to shift together. Sure, sure, go ahead. Yeah, yeah, yeah, yeah. I guess another [00:37:44] Ben: thing that we haven't really talked about, but actually sort of plays into all of this, is thinking about better [00:37:50] Tim: ways of regulating technology. [00:37:52] Ben: I know that you've done a lot of thinking about that, and maybe this is another thing to simulate. [00:38:00] Tim: Yeah, it's a model OSTP. But [00:38:04] Ben: it's maybe a thing where, this is actually like a prime example where the particulars really matter, right? Where you can't just regulate. quote unquote technology. Yeah. Right. And it's like, there's, there's some technologies that you want to regulate very, very closely and very tightly and others that you want to regulate very [00:38:21] Tim: loosely. Yeah, I think that's right. And I think that's actually, you know, I think it is tied to the kind of like macro scientific project, if you will. Right. Which is that I think we have often a notion of like science regulation being like. [00:38:35] literally the government comes in and is like, here are the kind of constraints that we want to put on the system. Right. And there's obviously like lots of different ways of doing that. And I think there's lots of contexts in which that's like appropriate. But I think for a lot of technologies that we confront right now, the change is so rapid that the obvious question always becomes, no matter what emerging technology talking about is like, how does your clock speed of regulation actually keep up with like the clock speed of technology? And the answer is frequently like. It doesn't, right? And like you run into these kind of like absurd situations where you're like, well, we have this thing, it's already out of date by the time it goes into force, everybody kind of creates some like notional compliance with that rule. Yeah. And like, in terms of improving, I don't know, safety outcomes, for instance, it like has not actually improved safety outcomes. And I think in that case, right, and I think I could actually make an argument that like, the problem is becoming more difficult with time. Right? Like, if you really believe that the pace of technological change is faster than it used to be, then it is possible that, like, there was a point at which, like, government was operating, and it could actually keep [00:39:35] pace effectively, or, like, a body like Congress could actually keep pace with society, or with technology successfully, to, like, make sure that it was conformant with, sort of, like, societal interests. Do you think that was [00:39:46] Ben: actually ever the case, or was it that we didn't, we just didn't [00:39:50] Tim: have as many regulations? I would say it was sort of twofold, right? Like, I think one of them was you had, at least, let's just talk about Congress, right? It's really hard to talk about, like, government as a whole, right? Like, I think, like, Congress was both better advised and was a more efficient institution, right? Which means it moved faster than it does today. Simultaneously, I also feel like for a couple reasons we can speculate on, right? Like, science, or in the very least, technology. Right, like move slower than it does today. Right, right. And so like actually what has happened is that both both dynamics have caused problems, right? Which is that like the organs of government are moving slower at the same time as science is moving faster And like I think we've passed some inflection [00:40:35] point now where like it seems really hard to craft You know, let's take the AI case like a sensible framework that would apply You know, in, in LLMs where like, I don't know, like I was doing a little recap of like recent interoperability research and I like took a step back and I was like, Oh, all these papers are from May, 2023. And I was like, these are all big results. This is all a big deal. Right. It's like very, very fast. Yeah. So that's kind of what I would say to that. Yeah. I don't know. Do you feel differently? You feel like Congress has never been able to keep up? Yeah. [00:41:04] Ben: Well, I. I wonder, I guess I'm almost, I'm, I'm perhaps an outlier in that I am skeptical of the claim that technology overall has sped up significantly, or the pace of technological change, the pace of software change, certainly. Sure. Right. And it's like maybe software as a, as a fraction of technology has spread up, sped up. And maybe like, this is, this is a thing where like to the point of, of regulations needing to, to. Go into particulars, [00:41:35] right? Mm-Hmm. . Right, right. Like tuning the regulation to the characteristic timescale of whatever talk [00:41:40] Tim: technology we're talking about. Mm-Hmm. , right? [00:41:42] Ben: But I don't know, but like, I feel like outside of software, if anything, technology, the pace of technological change [00:41:52] Tim: has slowed down. Mm hmm. Right. Right. Yeah. [00:41:55] Ben: This is me putting on my [00:41:57] Tim: stagnationist bias. And would, given the argument that I just made, would you say that that means that it should actually be easier than ever to regulate technology? Yeah, I get targets moving slower, right? Like, yeah, [00:42:12] Ben: yeah. Or it's the technology moving slowly because of the forms of [00:42:14] Tim: the regulator. I guess, yeah, there's like compounding variables. [00:42:16] Ben: Yeah, the easiest base case of regulating technology is saying, like, no, you can't have [00:42:20] Tim: any. Huh, right, right, right. Like, it can't change. Right, that's easy to regulate. Yeah, right, right. That's very easy to regulate. I buy that, I buy that. It's very easy to regulate well. Huh, right, right. I think that's [00:42:27] Ben: That's the question. It's like, what do we want to lock in and what don't we [00:42:31] Tim: want to lock in? Yeah, I think that's right and I think, you [00:42:35] know I guess what that moves me towards is like, I think some people, you know, will conclude the argument I'm making by saying, and so regulations are obsolete, right? Or like, oh, so we shouldn't regulate or like, let the companies take care of it. And I'm like, I think so, like, I think that that's, that's not the conclusion that I go to, right? Like part of it is like. Well, no, that just means we need, we need better ways of like regulating these systems, right? And I think they, they basically require government to kind of think about sort of like moving to different parts of the chain that they might've touched in the past. Yeah. So like, I don't know, we, Caleb and I over at IFP, we just submitted this RFI to DARPA. In part they, they were thinking about like how does DARPA play a role in dealing with like ethical considerations around emerging technologies. Yep. But the deeper point that we were making in our submission. was simply that like maybe actually science has changed in a way where like DARPA can't be the or it's harder for DARPA to be the originator of all these technologies. Yeah. So they're, they're almost, they're, they're placing the, the, the ecosystem, the [00:43:35] metabolism of technology has changed, which requires them to rethink like how they want to influence the system. Yeah. Right. And it may be more influence at the point of like. Things getting out to market, then it is things like, you know, basic research in the lab or something like that. Right. At least for some classes of technology where like a lot of it's happening in private industry, like AI. Yeah, exactly. Yeah. [00:43:55] Ben: No, I, I, I think the, the concept of, of like the metabolism of, of science and technology is like really powerful. I think in some sense it is, I'm not sure if you would, how would you map that to the idea of there being a [00:44:11] Tim: research ecosystem, right? Right. Is it, is it that there's like [00:44:17] Ben: the metabolic, this is, this is incredibly abstract. Okay. Like, is it like, I guess if you're looking at the metabolism, does, does the metabolism sort of say, we're going to ignore institutions for now and the metabolism is literally just the flow [00:44:34] Tim: of [00:44:35] like ideas and, and, and outcomes and then maybe like the ecosystem is [00:44:41] Ben: like, okay, then we like. Sort of add another layer and say there are institutions [00:44:46] Tim: that are sure interacting with this sort of like, yeah, I think like the metabolism view or, you know, you might even think about it as like a supply chain view, right? To move it away from, like, just kind of gesturing at bio for no reason, right? Is I think what's powerful about it is that, you know, particularly in foundation land, which I'm most familiar with. There's a notion of like we're going to field build and what that means is we're going to name a field and then researchers Are going to be under this tent that we call this field and then the field will exist Yeah, and then the proper critique of a lot of that stuff is like researchers are smart They just like go where the money is and they're like you want to call up like I can pretend to be nanotech for a Few years to get your money Like, that's no problem. I can do that. And so there's kind of a notion that, like, if you take the economy of science as, like, institutions at the very beginning, you actually miss the bigger [00:45:35] picture. Yes. Right? And so the metabolism view is more powerful because you literally think about, like, the movement of, like, an idea to an experiment to a practical technology to, like, something that's out in the world. Yeah. And then we basically say, how do we influence those incentives before we start talking about, like, oh, we announced some new policy that people just, like... Cosmetically align their agendas to yeah, and like if you really want to shape science It's actually maybe arguably less about like the institution and more about like Yeah, the individual. Yeah, exactly. Like I run a lab. What are my motivations? Right? And I think this is like, again, it's like micro macro, right? It's basically if we can understand that, then are there things that we could do to influence at that micro level? Yeah, right. Which is I think actually where a lot of Macro econ has moved. Right. Which is like, how do we influence like the individual firm's decisions Yeah. To get the overall aggregate change that we want in the economy. Yeah. And I think that's, that's potentially a better way of approaching it. Right. A thing that I desperately [00:46:30] Ben: want now is Uhhuh a. I'm not sure what they're, they're [00:46:35] actually called. Like the, you know, like the metal, like, like, like the [00:46:37] Tim: prep cycle. Yeah, exactly. Like, like, like the giant diagram of, of like metabolism, [00:46:43] Ben: right. I want that for, for research. Yeah, that would be incredible. Yeah. If, if only, I mean, one, I want to have it on [00:46:50] Tim: my wall and to, to just get across the idea that. [00:46:56] Ben: It is like, it's not you know, basic research, applied [00:47:01] Tim: research. Yeah, totally. Right, right, right. When it goes to like, and what I like about kind of metabolism as a way of thinking about it is that we can start thinking about like, okay, what's, what's the uptake for certain types of inputs, right? We're like, okay, you know like one, one example is like, okay, well, we want results in a field to become more searchable. Well what's really, if you want to frame that in metabolism terms, is like, what, you know, what are the carbs that go into the system that, like, the enzymes or the yeast can take up, and it's like, access to the proper results, right, and like, I think that there's, there's a nice way of flipping in it [00:47:35] that, like, starts to think about these things as, like, inputs, versus things that we do, again, because, like, we like the aesthetics of it, like, we like the aesthetics of being able to find research results instantaneously, but, like, the focus should be on, Like, okay, well, because it helps to drive, like, the next big idea that we think will be beneficial to me later on. Or like, even being [00:47:53] Ben: the question, like, is the actual blocker to the thing that you want to see, the thing that you think it is? Right. I've run into far more people than I can count who say, like, you know, we want more awesome technology in the world, therefore we are going to be working on Insert tool here that actually isn't addressing, at least my, [00:48:18] Tim: my view of why those things aren't happening. Yeah, right, right. And I think, I mean, again, like, part of the idea is we think about these as, like, frameworks for thinking about different situations in science. Yeah. Like, I actually do believe that there are certain fields because of, like, ideologically how they're set up, institutionally how [00:48:35] they're set up, funding wise how they're set up. that do resemble the block diagram you were talking about earlier, which is like, yeah, there actually is the, the basic research, like we can put, that's where the basic research happens. You could like point at a building, right? And you're like, that's where the, you know, commercialization happens. We pointed at another building, right? But I just happen to think that most science doesn't look like that. Right. And we might ask the question then, like, do we want it to resemble more of like the metabolism state than the block diagram state? Right. Like both are good. Yeah, I mean, I would [00:49:07] Ben: argue that putting them in different buildings is exactly what's causing [00:49:10] Tim: all the problems. Sure, right, exactly, yeah, yeah. Yeah. But then, again, like, then, then I think, again, this is why I think, like, the, the macro view is so powerful, at least to me, personally, is, like, we can ask the question, for what problems? Yeah. Right? Like, are there, are there situations where, like, that, that, like, very blocky way of doing it serves certain needs and certain demands? Yeah. And it's like, it's possible, like, one more argument I can make for you is, like, Progress might be [00:49:35] slower, but it's a lot more controllable. So if you are in the, you know, if you think national security is one of the most important things, you're willing to make those trade offs. But I think we just should be making those trade offs, like, much more consciously than we do. And [00:49:49] Ben: that's where politics, in the term, in the sense of, A compromise between people who have different priorities on something can actually come in where we can say, okay, like we're going to trade off, we're going to say like, okay, we're going to increase like national security a little bit, like in, in like this area to, in compromise with being able to like unblock this. [00:50:11] Tim: That's right. Yeah. And I think this is the benefit of like, you know, when I say lever, I literally mean lever, right. Which is basically like, we're in a period of time where we need this. Yeah. Right? We're willing to trade progress for security. Yeah. Okay, we're not in a period where we need this. Like, take the, take, ramp it down. Right? Like, we want science to have less of this, this kind of structure. Yeah. That's something we need to, like, have fine tuned controls over. Right? Yeah. And to be thinking about in, like, a, a comparative sense, [00:50:35] so. And, [00:50:36] Ben: to, to go [00:50:36] Tim: back to the metabolism example. Yeah, yeah. I'm really thinking about it. Yeah, yeah. [00:50:39] Ben: Is there an equivalent of macro for metabolism in the sense that like I'm thinking about like, like, is it someone's like blood, like, you know, they're like blood glucose level, [00:50:52] Tim: like obesity, right? Yeah, right. Kind of like our macro indicators for metabolism. Yeah, that's right. Right? Or like how you feel in the morning. That's right. Yeah, exactly. I'm less well versed in kind of like bio and medical, but I'm sure there is, right? Like, I mean, there is the same kind of like. Well, I study the cell. Well, I study, you know, like organisms, right? Like at different scales, which we're studying this stuff. Yeah. What's kind of interesting in the medical cases, like You know, it's like, do we have a Hippocratic, like oath for like our treatment of the science person, right? It's just like, first do no harm to the science person, you know? [00:51:32] Ben: Yeah, I mean, I wonder about that with like, [00:51:35] with research. Mm hmm. Is there, should we have more heuristics about how we're [00:51:42] Tim: Yeah, I mean, especially because I think, like, norms are so strong, right? Like, I do think that, like, one of the interesting things, this is one of the arguments I was making in the long science piece. It's like, well, in addition to funding certain types of experiments, if you proliferate the number of opportunities for these low scale projects to operate over a long period of time, there's actually a bunch of like norms that might be really good that they might foster in the scientific community. Right. Which is like you learn, like scientists learn the art of how to plan a project for 30 years. That's super important. Right. Regardless of the research results. That may be something that we want to put out into the open so there's more like your median scientist has more of those skills Yeah, right, like that's another reason that you might want to kind of like percolate this kind of behavior in the system Yeah, and so there's kind of like these emanating effects from like even one offs that I think are important to keep in mind [00:52:33] Ben: That's actually another [00:52:35] I think used for simulations. Yeah I'm just thinking like, well, it's very hard to get a tight feedback loop, right, about like whether you manage, you planned a project for 30 years [00:52:47] Tim: well, right, [00:52:48] Ben: right. But perhaps there's a better way of sort of simulating [00:52:51] Tim: that planning process. Yeah. Well, and I would love to, I mean, again, to the question that you had earlier about like what are the metrics here, right? Like I think for a lot of science metrics that we may end up on, they may have these interesting and really curious properties like we have for inflation rate. Right. We're like, the strange thing about inflation is that we, we kind of don't like, we have hypotheses for how it happens, but like, part of it is just like the psychology of the market. Yeah. Right. Like you anticipate prices will be higher next quarter. Inflation happens if enough people believe that. And part of what the Fed is doing is like, they're obviously making money harder to get to, but they're also like play acting, right? They're like. You know, trust me guys, we will continue to put pressure on the economy until you feel differently about this. And I think there's going to be some things in science that are worth [00:53:35] measuring that are like that, which is like researcher perceptions of the future state of the science economy are like things that we want to be able to influence in the space. And so one of the things that we do when we try to influence like the long termism or the short termism of science It's like, there's lots of kind of like material things we do, but ultimately the idea is like, what does that researcher in the lab think is going to happen, right? Do they think that, you know, grant funding is going to become a lot less available in the next six months or a lot more available in the next six months? Like influencing those might have huge repercussions on what happens in science. And like, yeah, like that's a tool that policymakers should have access to. Yeah. Yeah. [00:54:11] Ben: And the parallels between the. The how beliefs affect the economy, [00:54:18] Tim: and how beliefs [00:54:19] Ben: affect science, I think may also be a [00:54:21] Tim: little bit underrated. Yeah. In the sense that, [00:54:24] Ben: I, I feel like some people think that It's a fairly deterministic system where it's like, ah, yes, this idea's time has come. And like once, once all the things that are in place, like [00:54:35] once, once all, then, then it will happen. And like, [00:54:38] Tim: that is, that's like how it works. [00:54:40] Ben: Which I, I mean, I have, I wish there was more evidence to my point or to disagree with me. But like, I, I think that's, that's really not how it works. And I'm like very often. a field or, or like an idea will, like a technology will happen because people think that it's time for that technology to happen. Right. Right. Yeah. Obviously, obviously that isn't always the case. Right. Yeah. Yeah. There's, there's, there's hype [00:55:06] Tim: cycles. And I think you want, like, eventually, like. You know, if I have my druthers, right, like macro science should have like it's Chicago school, right? Which is basically like the idea arrives exactly when it should arrive. Scientists will discover it on exactly their time. And like your only role as a regulator is to ensure the stability of scientific institutions. I think actually that that is a, that's not a position I agree with, but you can craft a totally, Reasonable, coherent, coherent governance framework that's based around that concept, right? Yes. Yeah. I think [00:55:35] like [00:55:35] Ben: you'll, yes. I, I, I think like that's actually the criteria for success of meta science as a field uhhuh, because like once there's schools , then, then, then it will have made it, [00:55:46] Tim: because [00:55:47] Ben: there aren't schools right now. Mm-Hmm. , like, I, I feel , I almost feel I, I, I now want there to b

Reading from an article titled, "AI, Cyber S.A.T.A.N., and Battle for Your Brain", by Nathan M. Wiley... Become a Paid Subscriber:  ⁠https://anchor.fm/wayne-mcroy/subscribe⁠ ⁠https://www.alchemicaltechrevolution.com⁠ https://www.rokfin.com/waynemcroy ⁠https://www.youtube.com/channel/UCSdS1CiIycQRaSy2UupPrzg⁠ ⁠https://www.amazon.com/Books-Wayne-McRoy/s?rh=n%3A283155%2Cp_27%3AWayne+McRoy⁠ ⁠https://m.facebook.com/Files-From-The-Conspiratorium-1542730889274114/⁠ ⁠thealchemicalbeacon.substack.com⁠ ⁠https://my-store-d08567.creator-spring.com/listing/atr-design-1⁠ ⁠https://my-store-d08567.creator-spring.com/listing/atr-design-2⁠ ⁠https://freeworld.fm/⁠  If you would like to make a one time donation, you can send it through PayPal to:⁠ dmcroy98@epix.net

Laura is the CEO and Co-Founder of Epsilon3. Among the initial members of the operations team for SpaceX's Dragon spacecraft, she helped put the US back in the human space flight business.  Laura wants to continue to revolutionize the space industry, beginning with operational tools.  She believes that no matter what your specialty, no matter where you attended school, and whatever your talents may be, there is a place for you in the space industry. Find Laura and her company, Epsilon3 at www.epsilon3.io Connect with Laura on LinkedIn at: Linkedin.com/lauracrabtree linkedin.com/epsilon3inc and on twitter: @epsilon3inc twitter: @llcrabbie More about Laura: Laura was one of the Crew Operations & Resource Engineers (CORE) who helped put the United States back in the human Space Flight business. Among the initial members of the operations team for SpaceX's Dragon spacecraft, she was also on console for the first Dragon mission in 2010, the first mission to the International Space Station (ISS) in 2012, and part of the commercial crew contract over the next decade—including the mission that delivered astronauts to the ISS in 2020. During that mission, Laura was the lead trainer for the crew and one of the CORE operators who communicated to and advocated for the crew during free flight.  Laura's proudest moment was receiving a call on her personal cell phone from Astronaut Doug Hurley when he was orbiting above the earth and operating both the first commercial cargo and crew vehicles in free flight. During her time at SpaceX, Laura was also a part of the early F9 Recovery, Dragon Recovery, and Dragon operations teams. She was responsible for crew and ground operator flight training, flight software test, CONOPs development and simulator design. Over the years, Laura authored, tested and executed hundreds of procedures for both the ground operations teams and the crew onboard Dragon. Laura began her career at Northrop Grumman working various programs for DARPA and other DoD customers. She has a Bachelor's in Astronautical Engineering and a Master's in Systems Architecture, both from the University of Southern California.

Established in 2006, the Young Faculty Award (YFA) program aims to identify and engage rising academics in early-career research positions - particularly those without prior DARPA funding - and expose them to Department of Defense (DOD) needs and DARPA's mission to create and prevent technological surprise. The YFA program provides high-impact funding toresearchers at U.S. institutions early in their careers to advance innovative research enabling transformative DOD capabilities. The long-term goal of the YFA program is to build a pipeline for the next generation of academic scientists, engineers, and mathematicians who will focus a significant portion of their career on DOD and national security issues.In this episode you'll hear from Dr. Rohith Chandrasekar, who oversees DARPA's YFA program, as well as from DARPA Program Managers Dr. Chris Bettinger and Dr. Sunil Bhave, who reflect on their experience as YFA awardees early in their academic careers and the opportunities it has afforded them.DARPA recently published the 2024 YFA Research Announcement that features almost two dozen new technical topics and an additional open topic covering six thrust areas specific to DARPA's Defense Sciences Office (DSO). To view the full 2024 YFA Research Announcement visit SAM.gov: https://sam.gov/opp/f2bf469a50e7433fa758f0125831754b/view or Grants.gov: https://www.grants.gov/search-results-detail/350899. Executive summaries, which are encouraged, are due by Dec. 13, 2023, 4:00 p.m. ET. Full proposals are due Feb. 22, 2024, 4 p.m. ET.

ORDER QUALITY MEAT TO YOUR DOOR HERE: https://wildpastures.com/promos/save-20-for-life/bonus15?oid=6&affid=321 Save 20% and get $15 off your FIRST order! Support your local farms and stay healthy! GET HEIRLOOM SEEDS & NON GMO SURVIVAL FOOD HERE: https://heavensharvest.com/ USE Code WAM to get FREE shipping in the United States! HELP SUPPORT US AS WE DOCUMENT HISTORY HERE: https://gogetfunding.com/help-wam-cover-history/ GET YOUR APRICOT SEEDS at the life-saving Richardson Nutritional Center HERE: https://rncstore.com/r?id=bg8qc1 BUY GOLD AND SILVER HERE: https://kirkelliottphd.com/wam/ Josh Sigurdson reports on Senator Rand Paul's calls for Dr. Anthony Fauci to be federally prosecuted for perjuring himself and being involved in a massive covid coverup. Fauci, easily the main American architect of lockdowns and the vaccine rollout is rightly seen as an evil puppet master today. Millions are dying from the injections which he promoted and time and time again, Fauci's reasoning has been exposed as lies through emails and correspondence with other doctors and officials. Then comes the issue of gain of function. Whether covid was created by Fauci in a lab or the bioweapon was indeed simply the injections themselves is contested. Of course DARPA's first mention of "SarsCoV2" was in a 2018 letter to Fauci where they called it a "vaccine induced illness." With that said, many wonder regardless of the details if we will ever see anyone actually face justice as that has yet to be seen anywhere. Stay tuned for more from WAM! GET AN EXTENDED FREE TRIAL FOR ICKONIC WHEN YOU SIGN UP HERE: https://www.ickonic.com/affiliate/josh10 BUY YOUR PRIVATE CLEARPHONE HERE: https://www.r1kln3trk.com/3PC4ZXC/F9D3HK/ LION ENERGY: Never Run Out Of Power! PREPARE NOW! https://www.r1kln3trk.com/3PC4ZXC/D2N14D/ GET VITAMINS AND SUPPLEMENTS FROM DR. ZELENKO HERE: https://zstacklife.com/?ref=WAM GET TIM'S FREE Portfolio Review HERE: https://bit.ly/redpilladvisor And become a client of Tim's at https://www.TheLibertyAdvisor.com STOCK UP ON STOREABLE FOODS HERE: http://wamsurvival.com/ OUR GOGETFUNDING CAMPAIGN: https://gogetfunding.com/help-keep-wam-alive/ OUR PODBEAN CHANNEL: https://worldaltmedia.podbean.com/ Find us on Vigilante TV HERE: https://vigilante.tv/c/world_alternative_media/videos?s=1 FIND US on Rokfin HERE: https://rokfin.com/worldalternativemedia FIND US on Gettr HERE: https://www.gettr.com/user/worldaltmedia See our EPICFUNDME HERE: https://epicfundme.com/251-world-alternative-media JOIN OUR NEWSLETTER HERE: https://www.iambanned.com/ JOIN our Telegram Group HERE: https://t.me/worldalternativemedia JOIN US on Rumble Here: https://rumble.com/c/c-312314 FIND WAM MERCHANDISE HERE: https://teespring.com/stores/world-alternative-media FIND OUR CoinTree page here: https://cointr.ee/joshsigurdson JOIN US on SubscribeStar here: https://www.subscribestar.com/world-alternative-media We will soon be doing subscriber only content! Follow us on Twitter here: https://twitter.com/WorldAltMedia Help keep independent media alive! Pledge here! Just a dollar a month can help us alive! https://www.patreon.com/user?u=2652072&ty=h&u=2652072 BITCOIN ADDRESS: 18d1WEnYYhBRgZVbeyLr6UfiJhrQygcgNU World Alternative Media 2023

Napi találós kérdés: vajon MI lesz az USA hadseregének új tömegpusztító fegyvere? IT Business     2023-11-16 06:07:55     Infotech USA Mesterséges intelligencia Az Egyesült Államok Védelmi Minisztériumának kutatásokért felelős részlege, a Darpa milliókat költ olyan mesterséges intelligencia kifejlesztésére, amely segíthet stratégiai fontosságú, harctéri döntések meghozatalában. Az említett katonai kutatási ügynökség finanszírozza a Strategic Chaos Engine for Planning, Tactics, Experimentation and Resilienc Az Űrhaderő rejtélyes űrrepülőgépével új megfigyelő technológiákat tesztelnek Rakéta     2023-11-16 07:03:01     Tudomány Kiterjesztik az X-37B űrrepülőgép működési körét, ami legközelebbi, decemberben induló bevetésén az űr megfigyelését is végzi. Ahogy az a korábbi missziók során is történt, az Űrhaderő és a Légierő most sem árult el sokat a program céljáról. Idén tíz hónap alatt 240 ezer embert küldtek el a techcégek Bitport     2023-11-16 09:40:00     Infotech Több mint másfélszer annyian veszítették el a munkájukat, mint tavaly egész évben. Pedig hónapról hónapra csökken az elbocsátottak száma. Renderképeken a Red Magic 9 Pro Android Portál     2023-11-16 07:33:37     Mobiltech Kína Telefon A nubia nemrég ígért néhány dizájnváltozást, amelyekkel a közelgő Red Magic 9 Pro kiemelkedik majd a korábbi játéktelefonjaiból, a legújabb hivatalos renderek pedig megerősítik a vállalat állítását. Közel egy hét van hátra a Red Magic 9 Pro hivatalos leleplezéséig, a kínai mikroblog weboldalon, a Weibo-n már több kép is megjelent a telefonról. A Re A világ egyik legnagyobb állata sodródott partra 24.hu     2023-11-16 10:08:28     Tudomány Még nem tudják pontosan, mi okozhatta a pusztulását, de ránézésre elég betegnek tűnt. Jóváhagyták Nagy-Britanniában a világ első olyan gyógyszerét, aminek a forradalmi genetikai olló az alapja Telex     2023-11-16 14:19:50     Tudomány Gyógyszer Nobel-díj A CRISPR-eljárás le tudja nullázni az örökletes betegségeket, ezért járt a kémiai Nobel-díj 2020-ban. Most két vérzékenységhez kapcsolódó betegségre alkalmazzák majd. Folytatódik a KiberPajzs Mínuszos     2023-11-16 04:33:01     Infotech Telefon Az első évét ünneplő KiberPajzs együttműködés tapasztalatait konferencián összegezték az együttműködő felek. Bejelentették a KiberPajzs folytatását. Hamis banki hívások, megtévesztő online kereskedelmi ajánlatok, hívószám-hamisítás (spoofing), visszahívásos telefonos csalás (wangiri), adathalász e-mailek: csak néhány azon megtévesztő cselekmények k Minden eddiginél pontosabb időjós Mi-t készítettek a Google kutatói Player     2023-11-16 14:00:10     Infotech Google A GraphCast pontosabb az eddigi csúcsmodellnél, és minden korábbinál hosszabb időre előre jelzi a szélsőséges időjárást. Jön a ChatGPT új, személyre szabható verziója Igényesférfi.hu     2023-11-16 06:08:53     Infotech ChatGPT OpenAI A népszerű chatbot mögött álló vállalat, az OpenAI november 6-án megtartotta első fejlesztői konferenciáját. Deepfake- és hanggenerátort, saját chipeket és mást is hozott a Microsoft AI-eseménye - itt van minden bejelentés PCW     2023-11-16 12:00:20     Infotech Mesterséges intelligencia Microsoft A redmondiak rendíthetetlenül hisznek a mesterséges intelligenciában, így számos izgalmas szolgáltatással gyúrnak rá a témára. Az emberiség első űrcsatájára most, az izraeli-gázai konfliktus miatt kerülhetett sor Rakéta     2023-11-16 14:00:03     Autó-motor Izrael Palesztina Világűr Gázai övezet Az Izraeli Védelmi Erők a Kármán-vonal, tehát a világűr határa felett fogtak el egy rakétát. Mivel az esetet videófelvétel is bizonyítja, ez lehet az első dokumentált katonai összecsapás a világűrben. Megváltozik a Google keresője ATV     2023-11-16 10:44:00     Infotech Mesterséges intelligencia Google A mesterséges intelligencia már a Google keresőmotorjában is teret hódított, nemsokára pedig nálunk is elérhető lesz a már több mint 120 országban bevezetett fejlesztés. Bojár Gábor: A karizmára, ami egy vezetőt vezetővé tesz, az AI soha nem lesz képes Forbes     2023-11-16 11:12:01     Cégvilág Mesterséges intelligencia Forbes Bojár Gábor A techvezetők szerepeiről és kihívásairól és természetesen a mesterséges intelligenciáról beszélgetett Bojár Gábor, Birmacher Barnabás és Balogh Petya a Forbes Tech Summiten.

Napi találós kérdés: vajon MI lesz az USA hadseregének új tömegpusztító fegyvere? IT Business     2023-11-16 06:07:55     Infotech USA Mesterséges intelligencia Az Egyesült Államok Védelmi Minisztériumának kutatásokért felelős részlege, a Darpa milliókat költ olyan mesterséges intelligencia kifejlesztésére, amely segíthet stratégiai fontosságú, harctéri döntések meghozatalában. Az említett katonai kutatási ügynökség finanszírozza a Strategic Chaos Engine for Planning, Tactics, Experimentation and Resilienc Az Űrhaderő rejtélyes űrrepülőgépével új megfigyelő technológiákat tesztelnek Rakéta     2023-11-16 07:03:01     Tudomány Kiterjesztik az X-37B űrrepülőgép működési körét, ami legközelebbi, decemberben induló bevetésén az űr megfigyelését is végzi. Ahogy az a korábbi missziók során is történt, az Űrhaderő és a Légierő most sem árult el sokat a program céljáról. Idén tíz hónap alatt 240 ezer embert küldtek el a techcégek Bitport     2023-11-16 09:40:00     Infotech Több mint másfélszer annyian veszítették el a munkájukat, mint tavaly egész évben. Pedig hónapról hónapra csökken az elbocsátottak száma. Renderképeken a Red Magic 9 Pro Android Portál     2023-11-16 07:33:37     Mobiltech Kína Telefon A nubia nemrég ígért néhány dizájnváltozást, amelyekkel a közelgő Red Magic 9 Pro kiemelkedik majd a korábbi játéktelefonjaiból, a legújabb hivatalos renderek pedig megerősítik a vállalat állítását. Közel egy hét van hátra a Red Magic 9 Pro hivatalos leleplezéséig, a kínai mikroblog weboldalon, a Weibo-n már több kép is megjelent a telefonról. A Re A világ egyik legnagyobb állata sodródott partra 24.hu     2023-11-16 10:08:28     Tudomány Még nem tudják pontosan, mi okozhatta a pusztulását, de ránézésre elég betegnek tűnt. Jóváhagyták Nagy-Britanniában a világ első olyan gyógyszerét, aminek a forradalmi genetikai olló az alapja Telex     2023-11-16 14:19:50     Tudomány Gyógyszer Nobel-díj A CRISPR-eljárás le tudja nullázni az örökletes betegségeket, ezért járt a kémiai Nobel-díj 2020-ban. Most két vérzékenységhez kapcsolódó betegségre alkalmazzák majd. Folytatódik a KiberPajzs Mínuszos     2023-11-16 04:33:01     Infotech Telefon Az első évét ünneplő KiberPajzs együttműködés tapasztalatait konferencián összegezték az együttműködő felek. Bejelentették a KiberPajzs folytatását. Hamis banki hívások, megtévesztő online kereskedelmi ajánlatok, hívószám-hamisítás (spoofing), visszahívásos telefonos csalás (wangiri), adathalász e-mailek: csak néhány azon megtévesztő cselekmények k Minden eddiginél pontosabb időjós Mi-t készítettek a Google kutatói Player     2023-11-16 14:00:10     Infotech Google A GraphCast pontosabb az eddigi csúcsmodellnél, és minden korábbinál hosszabb időre előre jelzi a szélsőséges időjárást. Jön a ChatGPT új, személyre szabható verziója Igényesférfi.hu     2023-11-16 06:08:53     Infotech ChatGPT OpenAI A népszerű chatbot mögött álló vállalat, az OpenAI november 6-án megtartotta első fejlesztői konferenciáját. Deepfake- és hanggenerátort, saját chipeket és mást is hozott a Microsoft AI-eseménye - itt van minden bejelentés PCW     2023-11-16 12:00:20     Infotech Mesterséges intelligencia Microsoft A redmondiak rendíthetetlenül hisznek a mesterséges intelligenciában, így számos izgalmas szolgáltatással gyúrnak rá a témára. Az emberiség első űrcsatájára most, az izraeli-gázai konfliktus miatt kerülhetett sor Rakéta     2023-11-16 14:00:03     Autó-motor Izrael Palesztina Világűr Gázai övezet Az Izraeli Védelmi Erők a Kármán-vonal, tehát a világűr határa felett fogtak el egy rakétát. Mivel az esetet videófelvétel is bizonyítja, ez lehet az első dokumentált katonai összecsapás a világűrben. Megváltozik a Google keresője ATV     2023-11-16 10:44:00     Infotech Mesterséges intelligencia Google A mesterséges intelligencia már a Google keresőmotorjában is teret hódított, nemsokára pedig nálunk is elérhető lesz a már több mint 120 országban bevezetett fejlesztés. Bojár Gábor: A karizmára, ami egy vezetőt vezetővé tesz, az AI soha nem lesz képes Forbes     2023-11-16 11:12:01     Cégvilág Mesterséges intelligencia Forbes Bojár Gábor A techvezetők szerepeiről és kihívásairól és természetesen a mesterséges intelligenciáról beszélgetett Bojár Gábor, Birmacher Barnabás és Balogh Petya a Forbes Tech Summiten.

Beeyond Ideas www.brilliant.org

Episode 80. Amy Kruse is Chief Investment Officer at Satori Capital and a Venture Partner at Prime Movers Lab. Amy completed her PhD in Neuroscience at University of Illinois Urbana-Champaign. After leaving the bench, Amy spent time as a Program Manager at DARPA and has worked in various operating roles in the neurotech industry.

Maine mass shooting suspect Robert Card opened fire at two locations in Lewiston, killing 18 people and injuring 13 others. Like other cases of a "lone nut gunman," authorities were keeping an eye on him before the tragic event. Card, an Army Reservist spent two weeks in a psychiatric facility this past summer after reporting “hearing voices.” His sister said he started using high-powered hearing aids and was hearing people say bad things about him. Interestingly, a New York Times article was about soldiers seeing ghosts and hearing voices after the near-constant bombardment of war-torn countries they were stationed. Furthermore, we do know that DARPA has developed neuro technologies whereby they can electronically transmit audio and visual data directly into the brain. Could this have been another case? Tonight on Ground Zero, Clyde Lewis talks with mind control researcher and author, Dr. John Hall about BRAIN WAR DEAD - MILITARY MIND CONTROL COMPLEX. #GroundZero #ClydeLewis #MindControl #MassShootings https://groundzeromedia.org/11-6-23-brain-war-dead.../ Ground Zero with Clyde Lewis is live M-F from 7-10pm, pacific time, and streamed for free at https://groundzero.radio and talkstreamlive.com. For radio affiliates near you, go to talkmedianetwork.com. To leave a message, call our toll-free line at 866-536-7469. To listen by phone: 717-734-6922. To call the live show: 503-225-0860. For Android and Apple devices, download the updated and improved apps: https://play.google.com/store/apps/details... and https://apps.apple.com/us/app/aftermath-media/id1570944561. For additional show information, go to groundzeromedia.org. To access Ground Zero's exclusive digital library which includes webinars, archived shows/podcasts, research groups, videos, documents, and more, you need to sign up at aftermath.media. Subscriptions start at $7/month. Check out the yearly specials!

Podcast: Hack the Plant (LS 33 · TOP 5% what is this?)Episode: Architecting Threat ResponsesPub date: 2023-10-31I'm joined by David Patrick Emmerich, the Principal Cyber-Physical Range Architect at the University of Illinois, for this episode of Hack the Plant. We're here today to talk about RADICS, a DARPA project. RADICS stands for Rapid Attack Detection, Isolation and Characterization Systems.  We discuss David's role in building automated data collection and set up simulations and testing, and how the process of doing vulnerability discovery for physical assets helps asset owners.“  ‘These are ways that an attacker could get around it.' ‘These are where your blind spots might be' … We help them understand that so that they can better improve the security of their systems. Or go back to their boards or their management and say ‘these are the tools we need' or ‘this is the equipment we need and this is why we need it to better improve our security posture.' Their systems are already critical, but as they become even more critical.”  We delve into challenges of securing operational technology (OT) for asset owners, different kinds of threats they face, and more technical projects that RADICS ignited.Join us for an interesting - if technical - discussion to learn more about how physical systems interact with data to support real-time threat response.The podcast and artwork embedded on this page are from Bryson Bort, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

AI/ML is providing significant benefits in a wide range of application domains but also provides adversaries with a new attack surface. Learn about DARPA's efforts to help evaluate AI/ML and work towards a trust model that will allow us to use these valuable tools safely. Segment Resources: Identifying and Mitigating the Security Risks of Generative AI paper (co-authored by Kathleen): https://arxiv.org/abs/2308.14840 DARPA's AI Forward, which will include AI Exploration opportunities and resource material: https://www.darpa.mil/work-with-us/ai-forward I2O webpage, important to include because this hosts links to many of the programs Dr. Fisher will discuss: https://www.darpa.mil/i2o In the Security News: If an exploit falls in the forest do I still need to patch?, Reflections on trusting trust: the source code revealed, prompt injection in your resume, iPhones be updating, a deep dive into vulnerable kernel drivers and wiping SPI flash, cheap to exploit software, to ransom or steal?, oh OAuth, Florida man, door bell shenanigans, don't pay the ransom, the White House and AI, and quantum teleportation via measurement-induced entanglement. All that and more on this episode of Paul's Security Weekly! Visit https://www.securityweekly.com/psw for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Show Notes: https://securityweekly.com/psw-805

AI/ML is providing significant benefits in a wide range of application domains but also provides adversaries with a new attack surface. Learn about DARPA's efforts to help evaluate AI/ML and work towards a trust model that will allow us to use these valuable tools safely. Segment Resources: Identifying and Mitigating the Security Risks of Generative AI paper (co-authored by Kathleen): https://arxiv.org/abs/2308.14840 DARPA's AI Forward, which will include AI Exploration opportunities and resource material: https://www.darpa.mil/work-with-us/ai-forward I2O webpage, important to include because this hosts links to many of the programs Dr. Fisher will discuss: https://www.darpa.mil/i2o In the Security News: If an exploit falls in the forest do I still need to patch?, Reflections on trusting trust: the source code revealed, prompt injection in your resume, iPhones be updating, a deep dive into vulnerable kernel drivers and wiping SPI flash, cheap to exploit software, to ransom or steal?, oh OAuth, Florida man, door bell shenanigans, don't pay the ransom, the White House and AI, and quantum teleportation via measurement-induced entanglement. All that and more on this episode of Paul's Security Weekly! Visit https://www.securityweekly.com/psw for all the latest episodes! Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly Show Notes: https://securityweekly.com/psw-805

(***TIMESTAMPS in Description Below) ~ Andrew Bustamante is a former CIA Spy, Jim DiOrio is a former FBI Special Agent in Charge, and Danny Jones is the host of Danny Jones Podcast. PART 1 (on Danny Jones Podcast): https://youtu.be/txjl1HaKmVc?si=fqYC4xghcaAh5FWG  EPISODE LINKS: - Get 15% OFF MudWTR (PROMO CODE: “JULIAN”): https://mudwtr.com/julian  - Julian Dorey PODCAST MERCH: https://legacy.23point5.com/creator/Julian-Dorey-9826?tab=Featured  - Support our Show on PATREON: https://www.patreon.com/JulianDorey  - Join our DISCORD: https://discord.gg/ubyXDkWx - SUBSCRIBE to Clips Channel: https://www.youtube.com/@UChs-BsSX71a_leuqUk7vtDg  ANDREW BUSTAMANTE LINKS Find your spy superpower: https://everydayspy.com/quiz Learn more with Andy: https://everydayspy.com Follow Andy's podcast: @EverydaySpyPodcast CREDITS: - Hosted & Produced by Julian D. Dorey; Taiwan's military ***TIMESTAMPS*** 0:00 - Andrew Bustamante revisits his Taiwan 2024 Invasion Prediction 7:25 - The Exploding Helmets Myth Proven False; Language barriers 15:45 - China' military not a threat to US 21:00 - DARPA way ahead of China? 28:55 - Biden & Trump China Policies 32:32 - Saudi Arabia's relationship with China; Khashoggi Hit 37:35 - Detained in Turkey 43:35 - Gov Digi Curency 47:24 - Jim DiOrio revisits his San Bernardino iPhone Investigation 53:20 - Debating Apple's Decision on handing over iPhone 1:02:08 - Patriot Act & Constitution 1:11:55 - Fear drives security 1:13:40 - Jim remembers witnessing 9/II & his September 15th FBI Sting on Al-Q 1:23:15 - CIA & FBI Changes from Obama to Trump 1:29:18 - The Summer of the Shark 1:30:51 - Gov Agency Limitations; Jack Murphy CIA Russian Ops Report 1:38:40 - Do foreign powers want CIA to be weaker? 1:43:32 - Tom O'Neill Washington Post CIA Story 1:48:57 - Elon Musk's Twitter Files 1:53:04 - Artificial Intelligence (AI) & CIA 1:56:19 - AI & Middle East Oil 1:59:46 - Andy's Tell-All Book 2:01:39 - What's Next ~ Get $150 Off The Eight Sleep Pod Pro Mattress / Mattress Cover (USING CODE: “JULIANDOREY”): https://eight-sleep.ioym.net/trendifier Julian's Instagram: https://www.instagram.com/julianddorey ~ Music via Artlist.io ~ Julian Dorey Podcast Episode 166 - Andrew Bustamante & Jim DiOrio (CIA x FBI)

AI/ML is providing significant benefits in a wide range of application domains but also provides adversaries with a new attack surface. Learn about DARPA's efforts to help evaluate AI/ML and work towards a trust model that will allow us to use these valuable tools safely. Segment Resources: Identifying and Mitigating the Security Risks of Generative AI paper (co-authored by Kathleen): https://arxiv.org/abs/2308.14840 DARPA's AI Forward, which will include AI Exploration opportunities and resource material: https://www.darpa.mil/work-with-us/ai-forward I2O webpage, important to include because this hosts links to many of the programs Dr. Fisher will discuss: https://www.darpa.mil/i2o Show Notes: https://securityweekly.com/psw-805

AI/ML is providing significant benefits in a wide range of application domains but also provides adversaries with a new attack surface. Learn about DARPA's efforts to help evaluate AI/ML and work towards a trust model that will allow us to use these valuable tools safely. Segment Resources: Identifying and Mitigating the Security Risks of Generative AI paper (co-authored by Kathleen): https://arxiv.org/abs/2308.14840 DARPA's AI Forward, which will include AI Exploration opportunities and resource material: https://www.darpa.mil/work-with-us/ai-forward I2O webpage, important to include because this hosts links to many of the programs Dr. Fisher will discuss: https://www.darpa.mil/i2o Show Notes: https://securityweekly.com/psw-805

Illinois researchers believe they are getting close to producing food anywhere on the planet — using only air, water and electricity. Join Lauren Laws as she sits down with principal investigator Ting Lu, and co-PIs Mohan Sankaran, Keith Cadwallader to learn more about this DARPA-funded project.

Hánytatott szuperkatonák, doromboló szupercicák, szuperbőrös emlősök, szuperszónikus retróságok. Jegyzetek Followup Humane.ai: Rewind.ai (https://www.rewind.ai/pendant) Balázs rovat Érdekes tanulmányka: miben segít az AI, miben nem (https://www.bcg.com/publications/2023/how-people-create-and-destroy-value-with-gen-ai) Mixed realityben hánytató támadásoktól tart a DARPA (https://gizmodo.com/darpa-concern-mixed-reality-headset-cognitive-attacks-1850925546) A legújabb bőrtech (https://singularityhub.com/2023/10/09/bioprinted-skin-heals-wounds-in-pigs-with-minimal-scarring-humans-are-next/) Scully rovat Matekozás közbeni agyhullámokat alakítanak zenévé, az azt hallgató festő agyhullámaiból egy másik zene lesz, arra pedig táncolnak (https://hvg.hu/tudomany/20231017_agyhullam_kiolvasasa_technologia_muveszet_eeg_festeszet_zene_tanc) Világrekord macskadorombolási hangerő nagyszerű videóval (https://24.hu/szorakozas/2023/10/19/14-eves-macska-leghangosabb-dorombolas-vilagrekord-guinness/) Dávid rovat 20 éve repült utoljára a Concorde (https://www.theverge.com/2023/10/24/23928383/concordes-last-supersonic-flight-was-20-years-ago-today) Kötelékrepülés (https://simpleflying.com/british-airways-concorde-formation-flight/) Boom Supersonic (https://secretldn.com/london-to-new-york-overture/) Közösségi patkánykeresőt indított a New York-i metró (https://boingboing.net/2023/10/23/the-transit-app-now-provides-a-crowd-sourced-ratistical-analysis-of-the-rattiness-of-new-york-city-transit-stops.html) Hírlevél (http://eepurl.com/g7Bfd1)ben új epizódról értesítünk, időnként eszünkbe jut 1 újabb szóvicc, ha nem lett volna elég

Cyber Security is going to change significantly in the era of AI, according to Ryan Noon, cofounder of Material Security, a security company that makes cloud-based Google and Microsoft email a safe place for sensitive data. Elad Gil and Ryan talk about how Material Security started to use LLMs, potential security threats from AI hacks, and the role of the government in securing the Internet. Ryan also shares his advice for founders. Ryan co-founded Material Security in 2017 after seeing high profile email hacks in the 2016 Presidential election. Previously, he led various engineering teams at Dropbox after it acquired his first company, Parastructure. Prior to Parastructure, he led engineering at a data analysis company spun out of Stanford by DARPA. He holds both an MS in Computer Networks and Security and a BS in Computer Science from Stanford. Show Links:  Ryan Noon LinkedIn Material Security Website  The Market for Silver Bullets by Ian Grigg Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @InternetMeme Show Notes:  (00:00) - How 2016 Election Hacking Inspired Ryan to Start Material Security (05:00) - Generative AI Use Cases in Cyber Security & Fine Tuning (11:36) - Predictions on Effective Threat Levels from AI Hacks (14:45) - Democracy, the Department of Defence, DARPA and Cyber Security (20:14) - Is there room for startups in the Cyber Security industry? (26:40) - New Challenges On Horizon After 7 Years as Cofounder (32:30) - Advice to Founders

Ahead of the AI Cyber Challenge (AIxCC) Open Track registration period, which begins later this year, this episode of Voices from DARPA features Perri Adams, DARPA's program manager for the competition. Over the next two years, AIxCC will challenge teams to develop AI-driven systems to automatically find and correctly fix the critical code that underpins daily life. Adams shares the backstory for the AIxCC, discusses who she wants to compete (and why), and what's at stake for cybersecurity.  Adams is joined by AIxCC collaborators from the Open Source Security Foundation (OpenSSF), a project of the Linux Foundation, and OpenAI. OpenSSF's general manager Omkhar Arasratnam and OpenAI's head of security Matt Knight discuss their roles in the challenge and impart advice to potential competitors. For information on how to register to compete in the AI Cyber Challenge, visit AICyberChallenge.com.

Alison Spittle and Kai Samra join host Alice Fraser for episode 133 of The Gargle - the glossy magazine to The Bugle's audio newspaper for a visual world.All of the news, none of the politics! Climate crisis beer DNA hackers Army puking Therapy reactions ReviewsStory 1: https://edition.cnn.com/2023/10/10/business/hops-beer-europe-threatened-climateStory 2: https://www.theverge.com/2023/10/7/23907330/23andme-leak-hackers-selling-user-dna-dataStory 3: https://gizmodo.com/darpa-concern-mixed-reality-headset-cognitive-attacks-1850925546Story 4: https://www.theverge.com/2023/10/13/23916475/apple-video-reactions-telehealth-therapy-awkward-simplepracticeHOW TO SUPPORT THE GARGLE- Keep The Gargle alive and well by joining Team Bugle with a one-off payment, or become a Team Bugler or Super Bugler to receive extra bonus treats!https://www.thebuglepodcast.com/donateCONTENTS0:00 Start02:04 Front cover05:51 Satirical cartoon06:05 Story 1: The climate crisis is coming for your hoppy beer08:41 Ads10:39 Story 2: Hackers are selling the data of millions lifted from 23andMe's genetic database15:02 Reviews18:46 Story 3: DARPA's a bit concerned about tactical puking attacks23:45 Story 4: Apple's new video reactions are making therapy incredibly weird27:35 Bye / Anything to plug? Hosted on Acast. See acast.com/privacy for more information.

Like it or not AI is here, and it will only get better. Where does that leave Voice Artists, Podcasters and Content Creators who currently have no protections in terms of owning their voice? Tim Frielander is an award winning, voice actor, studio owner, advocate, and educator. Tim is also the Founder and President of NAVA, The National Association of Voice Actors as well as co-owner and editor of The Voice Over Resource Guide. His work with NAVA puts him at the coal face of negotiations with the like of voices.com and the AI seeding debate. We have him on the show next week to give us an insight into where we might be headed in terms of a compromise, what protections we might be able to put in place, and most troublininly the short amount of time we have to get it done before it may effectively be too late. A big shout out to our sponsors, Austrian Audio and Tri Booth. Both these companies are providers of QUALITY Audio Gear (we wouldn't partner with them unless they were), so please, if you're in the market for some new kit, do us a solid and check out their products, and be sure to tell em "Robbo, George, Robert, and AP sent you"... As a part of their generous support of our show, Tri Booth is offering $200 off a brand-new booth when you use the code TRIPAP200. So get onto their website now and secure your new booth... https://tribooth.com/ And if you're in the market for a new Mic or killer pair of headphones, check out Austrian Audio. They've got a great range of top-shelf gear.. https://austrian.audio/ We have launched a Patreon page in the hopes of being able to pay someone to help us get the show to more people and in turn help them with the same info we're sharing with you. If you aren't familiar with Patreon, it's an easy way for those interested in our show to get exclusive content and updates before anyone else, along with a whole bunch of other "perks" just by contributing as little as $1 per month. Find out more here..   https://www.patreon.com/proaudiosuite     George has created a page strictly for Pro Audio Suite listeners, so check it out for the latest discounts and offers for TPAS listeners. https://georgethe.tech/tpas If you haven't filled out our survey on what you'd like to hear on the show, you can do it here: https://www.surveymonkey.com/r/ZWT5BTD Join our Facebook page here: https://www.facebook.com/proaudiopodcast And the FB Group here: https://www.facebook.com/groups/357898255543203 For everything else (including joining our mailing list for exclusive previews and other goodies), check out our website https://www.theproaudiosuite.com/ “When the going gets weird, the weird turn professional.” Hunter S Thompson      Summary In this episode of Pro Audio Suite, we explore the controversial topic of AI voices with special guest Tim Friedlander. Voices.com has reportedly promised not to use people's voices from their database without permission, but the potential misuse of audition files by clients remains a concern. We discuss the fairness of voice synthesis, highlighting Nava's call for consent and compensation for voice actors. Listeners will gain insight into the problematic quality of AI voice samples and the potential threat to new voice actors as AI begins to replace human voices in certain sectors. We also delve into the future role of agents as potential AI voice libraries, and the necessity for clear licensing fee structures and strong protections before the end of the year to prevent misuse. #VoiceAIControversy #FairVoicesCampaign #FutureOfVoiceActing    Timestamps (00:00:00) Introduction (00:00:43) Voices.com's Promise (00:03:31) Copyright Laws and AI Voices (00:11:50) Review of AI Voice Samples (00:12:59) Risks of Recorded Audio (00:14:25) Dangers of AI (00:19:57) AI Replacing Human Voices (00:23:26) AI's Impact on Visual Artists    Transcript Speaker A: Y'all ready be history.,Speaker B: Get started.,Speaker A: Welcome.,Speaker B: Hi. Hi. Hello, everyone, to the Pro Audio Suite.,Speaker A: These guys are professional and motivated with tech. To the Vo stars George Wittam, founder of Source Elements Robert Marshall, international audio engineer Darren Robbo Robertson and global voice Andrew Peters. Thanks to Triboo Austrian audio making passion heard. Source elements. George the tech. Wittam and robbo and AP's. International demo. To find out more about us, check thepro audiosuite.com.,Speaker B: Learn up learner. Here we go.,Speaker C: And welcome. And don't forget, if you want to get a discount of $200 off your Tribooth trip, 200 is the code you need now, this week. Very topical. Of course, this AI thing will just not go away. And I know that there was a conversation about that place. I don't even like saying it. Anyway, I will say it. Voices.com supposedly have promised not to farm out people's voices from their database. Tim Friedlander has been involved in this and has written an article, which is what I saw. And Tim is joining us. G'day Tim.,: Hello. Hello. I'm here.,Speaker C: So what's the backstory to this and how did you get involved?,: The backstory to the AI voices.com thing goes back to about May when Davidcirellianvoices.com announced that they were releasing Voices AI and for the voice acting community, that was a huge concern, basically for the main part being that many people have been uploading audio to their website through their website for 20 years. So theoretically, Voices.com or either of these sites has 20 years of very high quality data and audio that they could use to synthesize our voices. So through Nava, which is association that I run along with Karen Guilfrey and a board of directors, we reached out to David and Stephanie and had a week of conversations with them to get the assurance that they had never been uploading or using or doing anything with auditions or files that have been uploaded through their website. And out of that came our Fair Voices campaign or the Fair Voices pledge that we launched. And we reached out to the other online casting sites, six other sites, to get the same assurances from them and also to make sure that they had changed their terms of service. So Voices.com at the time changed their terms of service to very explicitly say they would not be using any audio files uploaded through their site for machine learning or synthesized or synthesizing voices.,Speaker C: Was that backdated or is that from that point onward?,: The terms of service were from that point onward, but they publicly at the time and in various blog posts and other written areas have said that they have never used audio files for that. The caveat being is that once the audio files are uploaded and sent to a client, it's possible that the client then could take those audition files and use them. We don't know and haven't seen any companies per se who we know are doing that but over the last ten or so years, a lot of these companies have been working in the AI TTS sphere and very potentially could have been using that audio for training. We haven't seen it yet explicitly that we know of, but the inability to track our audio files and to know where the audio goes once we've emailed it out or uploaded through a website makes that a real possibility.,: So to give this some perspective, is there any sort of copyright law or anything in place at the moment that protects someone from having their voice turned into an AI voice without their permission?,: That's a great question. Short answer is no. We've been working with the Copyright Office. I gave a presentation to the FTC last week at a roundtable. I've spoken with multiple lawyers and people across the country and across the world. We're working with a group in Europe to help with the EU AI act. Most actors, voice actors, we give away our files as a work for hire, and the understanding is that that audio will be used for this very specific project. Unfortunately, that also basically gives the person we've given the audio file to the copyright and the ability to do whatever they want to with that. We're currently looking at the possibility that since most voice actors record from home, if from like a music perspective, we could theoretically be the owners of the master files, because a lot of times there's no contracts that are signed. But that's an early we're in the early stages of of exploring that. But there are copyright law does not currently protect the voice actor. It protects the copyright holder, which 99% of the time is the company who hired us. Wow. The only other thing we could fall back on is right, right of publicity. But those laws are only really in California and New York, where the strongest laws and then there's possibly biometric and privacy laws, but those really are only strongest in Illinois and Texas of all places, privacy rights.,Speaker C: So is there a way of know? We've talked about this before having some kind of fingerprint of, your know, if anybody uses your voice, it's quite obvious it's yours because it shows some kind of a fingerprint in the waveform, potentially. I don't know how that would work, but there must be someone who's got.,: Something nobody does currently that we know of. I've spoken with people at DARPA and at NASA. We are currently working. We've gone very deep in this conversation to try and figure out a way to do this, what we can do. And actually, I'm working on this with another company that I started about three years ago to create voice prints that we can then use to match a human voice to a synthetic voice and also to match a human voice to a human voice to say that they're the same person. You could theoretically, if we can get that software in place lock down a voice. So if somebody tries to upload it to a synthetic voice site, it would be locked and would be flagged as basically essentially DRM for voice is what we're trying to do. But the only thing really that you could do that might stay is some kind of spread spectrum watermarking that you could do within that. But it'd have to be embedded so deeply in there that you could rip this into Pro Tools or rip it into something else right. And transfer it between audio files or different Daws and strip out. If it's frequency, then it's very easy to pull out frequencies. Most of the stuff that's out there watermarking is pretty easy to bypass currently.,Speaker C: Well, you just have to get clarity or something and it's gone.,: Yeah, exactly. Yeah.,: So what's the compromise future from your perspective then? Would it be a point where Darren Robertson is selling his voice sample disc to AI people? Or would you rather not see AI at all?,: I'm a musician primarily. I was in Seattle in the was on the cusp of playing live and really exploring music when napster and everything hit. And from a consumer perspective, that was one of the most eye opening things that I'd ever seen. The ability to now have access to a massive amount of audio that I'd never heard before. Not anti technology by any means and definitely not anti AI. I've worked with a synthetic voice company. I have know people who are working with synthetic voice companies. The issue right now is that a lot of the foundational models, a lot of the foundations of these AI generative engines, synthetic voice engines are built on somebody's data and more than likely they are being built on the literal voices of voice actors. So we become the foundation of a lot of these models. What Nava has been asking for is consent, control and compensation. And it's the same thing that all artists are asking for, musicians are asking for, models are asking for, is if you're going to take my data and what makes the essence of me. My voice or my image, or the way I walk or the way that I speak, the cadence that I have, the way that I stand. All of those things are very personal to all of us individually. And that data is basically being turned into data, right. What makes us is being turned into data and put into these synthetic voice engines or these synthetic generative engines or generative AI to produce images and videos and photos and voices that are based on real humans and sound like and look like real humans. So we try to find consent, control and compensation for those and really consent to say yes or no. You can make a synthesized version of my voice.,Speaker C: So if we're talking about AI voices, we're not going to stop. It's already out. I mean, the thing's going to happen.,: They're out there. Yes, correct.,Speaker C: How do you perceive we control. It?,: The only thing that we can currently do right now. And this is part of what this discussion at the FTC came up with last week, is really, I think, from a consumer perspective, a consumer safety perspective, I think that there is so much danger in disinformation and false. Information and just absolute lies that are out there that can now be easily replicated and put into a video or an audio or something that is not very easily detectable. It's almost impossible to tell a synthetic voice from a human voice that are done well. It's hard to tell a synthetic image from a factual image. The laws and regulations currently our laws and legislation, I think, is currently the only thing that we can really do on a broad scale to help stem the tide of the damage that's been done already. And going forward, we have to have very clear contracts and agreements in place that either do or do not allow for the use of somebody's voice to be used in a synthetic voice or generative. AI. That's partially what the WGA and SAG afterstrikes are about. AI is the top of that list of things that are concerns, and it's a top concern for anybody who is in the arts right now that creates anything that any of that could be put into a synthetic engine of some kind and have a new creation made out of that. We just came out of a pandemic where we relied on artists, on musicians and filmmakers and actors and voice artists. And the first thing we do out of that pandemic is try and replace those people. That's really essentially what's happening. There is some accessibility. There are places that there is an argument to be made for doing things that a human couldn't generate. But when it's done to replace somebody, when it's done just to save money, that's where the concern comes in. And we know that money, those savings, are not going to be passed along to the consumer. A video game is not going to be cheaper for somebody to buy because it has synthetic voices. A movie is not going to be cheaper at the movie theater because it's synthetically generated. So they cut out the people. They cut out the people who actually make this work, and then that money just goes to the company that gets to save that money at the expense of everybody.,: Why would voices.com say the quiet part out loud? They're a bit like Uber basically going like, hi, please work for us. Make us money, and then we're going to put all of our money into figuring out how to make driverless cars so we don't need you see bitches.,Speaker C: Yeah, exactly.,: They did. I don't know if anybody saw the news last week, but David Cicearelli is out and Morgan Stanley is it morgan Stanley who was the venture capital whoever gave them the money, they replaced him at the top. My guess is that they either went all in on AI and it's not paying off, or they weren't seeing this is all purely speculation. This is just what we can have for conjecture in this place. So I know nothing for fact, but they invested a massive amount of money in them, what, $18,000,015 to $18,000,000.07 years ago. And if they went all in on AI, I don't know if anybody's heard.,: They lost all of it.,: Yeah, they lost all of it. Has anybody actually have you guys heard their AI? The voices AI their samples. They're terrible.,: Never heard it.,: They're terrible. They are terrible. But they were done with consent, control and compensation.,: Is it better or worse than voicealo?,: I haven't heard that one. But most of what I deal with, I deal with Eleven Labs and Play HT are the two that I use most often, for example, for samples in that. And both of those are phenomenal. They are really good. And voices. AI is nowhere. It sounds about ten years old, the technology, from what I heard, and some of the voice actors who had their voices synthesized, who participated in this are not happy with how that voice sounds.,Speaker C: Yeah, I was going to say, just to lighten up a bit, there's an old gag that could actually be modernized and you can ask the question, how many voiceover artists does it take to change a light bulb? And the answer is none. You get an AI to do it.,: That was a drummer joke.,Speaker C: I know we can update it.,: It.,: Just hasn't happened quite yet.,: I was going to say. Yeah, exactly. I've heard that one before somewhere. So the thing that occurs to me though, Tim, is it's great that we're protecting voice actors and all that sort of stuff, but obviously there's a crapload more voice samples out there. I mean, how many podcasts are there out there? And YouTube content creators and all the rest of it? All these places they could go mining for voices.,: How do we protect know? Currently we can't currently there is no protection for Know. This goes into Know, we talk about this being more it's with anybody who has recorded audio is at risk. And that voice actors just happen to be the ones who make a living off of our recorded voice most of the time, but doesn't mean that others aren't making a living off of what they have on the podcast and YouTube. And even those who are just hobbyists at this, who just have a little bit of recorded audio, some twitch stream. I can currently record all the audio off this and make a synthetic voice of anybody on this conversation right now, as can anybody who's listening to it.,Speaker B: Right.,: And it's easy.,: What work does it really kill, truly kill? Like in the short term? I can see it taking out a crapload of elearning and other things like that.,: It takes that out that's any of the stuff that is purely factual, a lot of times talk about factual stuff where I just need information read. A lot of that stuff gets taken out right away, which if you can license your voice to that, then you can still have a career as a voice actor. One of the things that I think is the dangerous part of this, and this goes for any of the arts, is that a lot of these places that are going to be replaced first are where a lot of voice actors, a lot of artists learn. This is how you cut your teeth and you come up through the industry. You do the free jobs, you do the cheap jobs, you do the entry level jobs. Those entry level jobs go away right away because it's cheaper. But a lot of the times it's better. Unfortunately, it is better. The audio quality of a voice actor who's just starting out, who is using a USB mic in their living room with hardwood floors and the refrigerator running and the AC is going to be at risk for sure, and I think rightfully so.,: I'll give you another one, is the company that doesn't hire anybody, right. And they just see the AI voices as it's better than having Mary Jo read it because it's going to take her a long time and whatever. And so just type it into the system. And there's our video. It's our instruction video on how to use our garden hose absolutely or something. And yeah, it's going to take out I don't see it initially taking out real voice acting, but I agree, just like conveying voice, it's just going to plenty of AI voices I'd rather hear.,: Instead of the president of the auto.,: Workers union, for example. One of the things that we've seen, I think, that's been most hopeful in this is that those who work with voice actors already or don't want to replace voice actors, those people who are already working in the creative sphere, who are the producers, who are the directors, they're the people they say, I would never replace a voice actor. But it's all of those people who don't who have just need a voice actor for this one time, need a voice actor for this one training video, this one thing here that they would go to a friend or a referral or wherever it might be, to the online casting site and cast somebody who's new. They're not going to do that anymore. And we're not going to see it's very hard to tangibly find the damage to this because we're not seeing auditions going out where they're saying we're going to audition a human versus an AI. And the AI gets the job. They're just not even going to bother to do the auditions in the first place. And we're never even going to know if it was a synthetic voice. So this is partially why, again, laws and legislation. There's a Senate bill out that NAV is endorsing senate Bill 26 91, which is a labeling act of 2023, which is going to require all anything AI generated to be labeled marked same thing as you would with food. I think consumers have a right to know if what they're taking in is synthetic or human, whether it's emotional, spiritual, food. We have a right to know what we're interacting with. I think.,: I want to know when I'm in the Matrix personally.,: Right, exactly. Yeah, you want to know you're in the Matrix.,: I'm sure it puts to bed a lot of political issues. Mean, you know, imagine sitting there listening to a radio broadcast of Joe Biden declaring war on Russia when it's actually not really you know, there's all sorts of issues that this raises.,: Well, that as well, but also it raises the possibility of doubt. And the Donald Trump tape from years ago, if he could say, well, I never said that that's a synthetic voice, and prove that it's not my synthetic voice. Prove I actually said that. Right, so you're running into proving to both sides of that and we're coming into election.,: All sorts of possibilities raised, considering some of the possible candidates, right?,: Yes, absolutely.,Speaker C: Is there a way of a voice actor to say, okay, I'm going to actually upload to say someplace where you can license a voice from you actually give them all the information of your voice and then there's a license fee. If people want to grab it and use it for something, then they pay you a license fee the same as you would do with library music.,: Absolutely. I've been pushing that example for a while. I think that one of the ways that both Europe with the GDPR and with FTC are approaching this is that we don't need to make new laws or new regulations. We just need to enforce the ones that exist and put this into use. The precedent, I think the precedent of music licensing can directly go into voice. You have a licensing fee, you have a usage fee, you have a generation fee. If you generate new content from this, then I get paid a certain amount for the generation. There's companies out there that do that. Vocal ID veritone was one of the earlier ones that did that. And there's a licensing fee that they have in place for that. And the actors who do that have the consent to know where their voice goes. We're working with a TTS company who reached out to us and we're helping them with this exact same thing of helping to license their deployments so that the voice actor knows where their voice is being used, but also get paid for the original creation of that model and then know where the voice goes from there. There's lots of possibilities. The one possibility that unfortunately, none of those things really exist right now. The only possibilities happen is people just can upload your voice anywhere they want to create a synthetic voice and use it. And there's nothing really stopping anybody, even the AI sites. Right now, all you have to do is click a button that says, yes, I have the right to upload this voice.,: And at what point do you stop?,: I mean, at what point do you stop anybody?,: If you blend two people's voices or three people's, at a certain point, you're.,: Like, it's becomes you know I mean, that's what Siri Alexa, Google voice, those are, you know, they're all blended voices, multiple people put in together and to create a new voice. So now you have to get into now you're talking about songwriting splits, right? Now you're going to talk about splits and points on a song, right? So I've got three voices. We all get an equal split of the usage of that voice, or does it not become an issue because it doesn't sound like anybody? Therefore, there's no conflict. Voice actors, you're also going to run into conflict. Right? What if my human voice is doing Pepsi? My synthetic voice can't do Coca Cola. And if it does, who's going to be held responsible for or or a voice that just sounds like me? At what point how do you draw the line there? How do you even know this voice sounds a lot like me? Is it my voice or is it not my voice? It's a voice that sounds a lot like me. Do I get into conflict because of the similarity?,: It's just like this actors are impersonated. It has to be like, all voices are synthesized, right?,: Yeah, exactly.,: From a synthetic voice saying that all voices are synthesized, including this voice.,: Yeah. Right.,Speaker C: But can you see, like, if you look into the future of the role of the agent, will the agent all of a sudden become a library of voices that can potentially be used for AI? Would that be the shift?,: I have honestly have no idea. I think there's going to be a we're already starting to see a split of human only no AI, and then those who are willing to have a conversation with it and explore it. I'm not by any means advocating to replace humans with AI voices, but we also know that this technology has been around for years, right? And it's been being built for the last 20 years, ten years solidly for synthetic voices. It's here, and we can just pretend that it's not going to have an impact and hope that it doesn't have an impact. Or we can go directly to these companies, which is what we've been doing. I've been speaking with the CEOs of these companies to try and talk with them about great, this is why voice actors are concerned. This is why artists in general are concerned. But this is what we're concerned about. And we know you have a lot of money. Eleven Labs just they're worth $100 million, or they got an investment of $100 million a month ago or so. Right. They have the money to pay the voice actors fairly for the foundation. And if they can license that, the better audio they have, the better foundational model they can create. So if those voice actors who want to do that have the right to say yes, it's the right to say yes as much as it is the right to say no. You should have the right to say yes if you want to. I think.,Speaker C: I reckon there's going to be a scramble with voice actors all trying to get themselves uploaded onto one of these business sites so they can be licensed out.,: Yeah, some of them have. Right now, there's really no clear understanding of what that licensing fee would be. We've seen similar jobs on the casting sites that on one job is paying $500, on the next job it's paying $20,000. And they don't appear to be any different. We just don't have enough a lot of people who are casting don't have enough information to know about where those files are going to be used. Voice actors don't know really enough about how they're going to be used either to know what to ask, and agents don't know what to ask either. Like just so many unknowns out there about what to even ask to come up with what a fair usage would be. Because there's so many potentially so many uses out there that we can't even comprehend right now that we can't even imagine of that they could be used for. So it's really hard to tell. That generation is kind of what we're looking at as kind of a generation fee is what we're kind of really interested in.,Speaker C: Well, it's going to be interesting to watch how this all unfolds, but it's.,: A massive can of worms, isn't it?,Speaker C: It is incredible.,: It is a massive can of worms. Yeah. Visual artists are being hit massively, obviously, right now. They're some of the most hard hit because those images are so distinctive and the styles are so distinct that when they come out that it's obvious it was trained on those authors. There's two lawsuits against multiple lawsuits against AI companies right now from authors who have had their books ingested into these and used as foundational models to train these things. And the thing is, once it's trained, you can't untrain it.,: Well, AP, was it? You saying that there's a film in the Cam with starring James Dean?,Speaker C: Yeah, that's what I'm told is sitting there waiting to go. So James Dean is going to be a co star of a New know you've used motion capture. So they've got an actor that actually can walk and move like James Dean. They've just done a motion capture and then they built James Dean over the top of his skeleton, so to speak. And if that thing becomes a hit, you can see they're going to drag them all out.,: Right.,: And then Elvis really isn't dead.,: Yeah, right, exactly. We talk about that for vo. Like speech to speech, too.,: Well, that's the thing. How would you license that, Tim?,: It's performed know the James Dean performed by so and so. You want to give the motion capture person the credit for it. Like speech to could I could know. Karen Guilford vice president uses example a lot, which is she could narrate audacity of Hope and then put Barack Obama's voice over it. So it would be the voice of Barack Obama performed by Karen Guilfrey.,: Right.,: So as read by Barack Obama performed by Corn Griffin. Yeah. As puppetry.,Speaker B: Yeah.,Speaker C: If I was the ad agency for 711, I would actually get an AI of Elvis and have him in a 711. And finally, it's true.,: Slurpee in one hand, donut in the other. Is that what you're saying?,: When does Elvis become public domain?,: A long time. Long time. It's a space to watch, isn't it? It really is.,Speaker C: And the space will be filled by AI.,: Yeah, it's interesting. And I think we've got three months left. I think we have about three months before something dramatically so you think there.,: Is a time frame on this? Because I was actually sitting here thinking, god, how long will this take to sort? But you're saying you think there might be a time frame on it?,: I think we have, if anything, any legitimate and strong protections need to be in place before the end of the year. By the end of the year, it's going to be too late for us to have any kind of protection. The technology is moving too quickly. It's exponential. And it's going to be beyond our control or potentially beyond the control of those who actually are running the systems. At one point, without fully taking your entire system offline and destroying your models, it could potentially get to the point where there is no control, there is no ability to consent, there is no ability to even know whose voice is being used. They're just a multitude of generic voices that one company gets paid when you use their voice, but nobody has any idea who the human behind it is or where the content came from anymore.,: Watch this space, people.,Speaker C: Yes, indeed. Indeed. Exactly. By the way, this is actually really not me. I'm on holiday.,: This is my not hard to do.,Speaker B: Well, that was fun. Is it over?,Speaker A: The Pro Audio suite with thanks to Tribut and Austrian audio recorded using Source Connect edited by Andrew Peters and mixed by Voodoo Radio Imaging with tech support from George the Tech Wittam don't forget to subscribe to the show and join in the conversation on our Facebook group. To leave a comment, suggest a topic or just say g'day. Drop us a note at our website. Theproudiosuite.com.     

Headlines: Woman's Experimental Bionic Hand Passes Major Test With Flying Colors | Gizmodo (01:10) Raytheon to build new detonation engine for DARPA missiles | Interesting engineering (09:18) First-ever gene therapy trial to cure form of deafness begins | Ars Technica  (14:25) This AI tool can predict virus mutations before they occur | Interesting Engineering (18:39) Focused ultrasound turns chemo from shotgun blast to sniper shot | New Atlas (23:29)

In this episode, we dive into the world of flying robots with Davide Scaramuzza (University of Zürich), a leading expert in vision-based navigation, agile drone racing, perception-aware control, and the cutting-edge neuromorphic technology of event cameras. We explore the challenges of autonomous navigation in GPS-denied environments, the excitement of drone racing, the future of robotics, and the revolutionary potential of event-based cameras.Outline00:58 - Magic 02:58 - Visual SLAM and autonomous driving05:32 - Flying without a GPS11:01 - sFly project - Vision-based autonomous flight18:14 - Next steps22:30 - Drone racing and agile flying51:30 - Perception-aware control58:47 - On robustness1:02:46 - Risk-aware control and illumination1:07:52 - Event-based cameras1:15:37 - Agile flying  with event-based cameras1:19:28 - Event-based control and neuromorphic technology1:25:42 - Future of robotics1:30:55 - Advice to future students Links- Davide's website: https://rpg.ifi.uzh.ch/people_scaramuzza.html- Copperfield at Niagara Falls: https://tinyurl.com/4wydc2s3- Ambitious card: https://tinyurl.com/5723kf8s- R. Siegwart: https://tinyurl.com/mr3sn472- sFly project: https://tinyurl.com/43hrffcx- DARPA challenge: https://tinyurl.com/5n7dnkmz- PTAM: https://tinyurl.com/epypbbmz- ROS: https://www.ros.org/- Acado: https://acado.github.io/- Drone racer - Nature paper: https://tinyurl.com/2rws2pjm- Drone racing - video: https://t.co/g9ckjV3O3N- Drone racing league: https://www.drl.io/ - Time-optimal MPCC: https://tinyurl.com/3udn5raf- Event-based vision: https://rpg.ifi.uzh.ch/research_dvs.html- T. Delbruck: https://tinyurl.com/4acymkxf- Event-based vision: a survey: https://tinyurl.com/2hwcmk9t- Event based vision and control paper: Support the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

This episode was recorded live at the 2023 IMAPS International Symposium, where the week's keynote talks focused on different aspects of heterogeneous integration, packaging technology for high-performance computing, and what's driving these technologies. Françoise von Trapp speaks with three of the keynote speakers who addressed attendees including Kevin Anderson, of Qorvo; Jeffrey Burns, of IBM Research; and C.P. Hung of ASE Group. From Kevin Anderson, you'll hear about Qorvo's involvement in DARPA's SHIP Program, and its Advanced State-of-the-Art RF Semiconductor Packaging Center that won them the 2023 3D InCites Award for Device Manufacturer of the Year. You'll get Qorvo's back story in being a supplier of wireless products and its focus on compound semiconductors. You'll also learn about the difference between the SHIP Program and the CHIPS for America Act, and the role Qorvo plays. From Jeff Burns, you'll get detailed education on AI, and Deep Learning. Using the development of image recognition as an example of how AI can surpass human capabilities, he explains the advantages of AI accelerators, and how IBM's work in foundation models is democratizing AI applications. He also explains the role 3D heterogeneous integration and chiplet architectures in making this happen. From CP Hung, you'll get a history lesson on the different types of advanced packages that are available to solve different challenges presented by today's applications.  Specifically, you'll learn about the needs of Electric Vehicles, and how heterogeneous integration is addressing these needs. You'll also learn about ASE's launch of its  Integrated Design Ecosystem (IDE)  a collaborative design toolset optimized to systematically boost advanced package architecture across the VIPack™ platform. Contact Our Guests on Linkedin Kevin Anderson, Director, Integration Technology Research at Qorvo, Inc.Jeffrey Burns, Director, IBM Research AI Hardware Center at IBM CP Hung, VP of Corporate R&D,  ASE Global Next week, on the 3D InCites Podcast, Françoise interviews some special guests of IMAPS, members of Carlsbad Highschool's Robotics Club. Listen and learn what is inspiring the next generation of microelectronics experts. IMAPS International IMAPS is the largest society dedicated to microelectronics and electronics packaging advancement.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showBecome a sustaining member! Like what you hear? Follow us on LinkedIn and TwitterInterested in reaching a qualified audience of microelectronics industry decision-makers? Invest in host-read advertisements, and promote your company in upcoming episodes. Contact Françoise von Trapp to learn more. Interested in becoming a sponsor of the 3D InCites Podcast? Check out our 2023 Media Kit. Learn more about the 3D InCites Community and how you can become more involved.

EPISODE 1768: In this KEEN ON show, Andrew talks to Erik J. Larson, author of THE MYTH OF ARTIFICIAL INTELLIGENCE, about Silicon Valley's failure to change anything since the 1950sErik J. Larson is a computer scientist and tech entrepreneur. The founder of two DARPA-funded AI startups, he is currently working on core issues in natural language processing and machine learning. He has written for The Atlantic and for professional journals and has tested the technical boundaries of artificial intelligence through his work with the IC2 tech incubator at the University of Texas at Austin. Follow Erik on Substack: https://substack.com/@erikjlarsonNamed as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.

Content Managed by ContentSafe.co STARTS AT 9PM ET: Join me for an important discussion with America's intelligence officer, Jeffrey Prather. Follow Jeffrey at https://jeffreyprather.com/ To learn more about investing in gold visit - http://goldwithseth.com, or call 720-605-3900 For high quality storable foods and seeds, visit http://heavensharvest.com and use promo code SETH to save 15% on your order. Save up to 66% at https://MyPillow.com using Promo Code - MAN LISTEN VIA PODCAST: Apple: https://apple.co/3bEdO1S Spotify: https://spoti.fi/3u9k8Vd Podbean: https://bit.ly/3A4Jasy iHeart: https://bit.ly/3npOBea FOLLOW AND WATCH: Website: https://maninamerica.com/ Telegram: https://t.me/maninamerica Truth Social: https://truthsocial.com/@maninamerica Banned.Video: https://banned.video/channel/man-in-america Rumble: https://rumble.com/c/ManInAmerica YouTube: https://www.youtube.com/c/maninamerica Gab: https://gab.com/ManInAmerica Facebook: https://www.facebook.com/ManInAmerica Gettr: https://gettr.com/user/maninamerica Twitter: https://twitter.com/ManInAmericaUS Parler: https://parler.com/user/ManInAmerica SafeChat: https://safechat.com/channel/2776713240786468864 Tik Tok: https://www.tiktok.com/@maninamerica2 Instagram: https://www.instagram.com/maninamericaus

Dr. Renee Wegrzyn is the first director of the Advanced Research Projects Agency for Health, (ARPA-H), a new federal agency with a $2.5 billion budget. Modeled after DARPA, the agency is tasked with taking big risks in biomedical research that seem beyond the reach of the private sector. Dr. Wegrzyn joins Preet to discuss how ARPA-H is promoting innovation, and their goal to “end cancer as we know it.”  Stay Tuned is nominated for a Signal Award…and you're in the jury box! Head to cafe.com/signal to vote.  Stay Tuned in Brief is presented by CAFE and the Vox Media Podcast Network. Please write to us with your thoughts and questions at letters@cafe.com, or leave a voicemail at 669-247-7338. For analysis of recent legal news, join the CAFE Insider community. Head to cafe.com/insider to join for just $1 for the first month.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Supply chain disruptions stemming from the COVID-19 pandemic, among other issues, shined a bright light on the global reliance on microchips. The nationwide recognition underscored the need to strengthen the domestic microelectronics industry, including on-shore fabrication and next-generation research, development, and capabilities.Back in 2017, already recognizing that the microelectronics demand trajectory was straining both commercial and defense developments, DARPA launched the Electronics Resurgence Initiative (ERI) to address an increasing reliance on advanced electronics, exploding complexity of microsystems, offshore movement of advanced capabilities, and the emergence of hardware security threats. In 2022, the agency kicked off ERI 2.0, expanding the original effort to include reinvention of domestic microelectronics manufacturing.DARPA's 2023 ERI Summit, held Aug. 22-24, in Seattle, brought together more than 1,300 participants converged to discuss the challenges on the horizon. The conference spanned three jam-packed days of presentations, workshops, panel discussions, and networking.In this episode of Voices from DARPA, we've pulled from the more than 10 hours of presentations from leading voices across government, industry, and academia for a primer on the Summit's prevailing theme: what it means to redefine the future of microelectronics manufacturing.For a deeper dive on ERI 2.0 and the ERI Summit, visit:ERI Summit playlist – DARPAtv on YouTubeDARPA's Microsystems Technology OfficeElectronics Resurgence Initiative 2.0ERI Summit

Udaiyan Jatar, born and raised in India, had a unique upbringing due to his father's career as a fighter pilot. He attended 13 different schools across 6 states and became proficient in 4 or 5 languages. Coming from a family with a strong military background, this played a significant role in shaping his life. After completing his education, Jatar started his career in door-to-door sales. He later pursued an MBA and joined Procter and Gamble, a major company in India during the time of the country's economic opening. In this role, he gained valuable experience working to take products to market from scratch. Later on, Jatar transitioned to Coca-Cola and played a pivotal role in helping the company expand into new categories within the Indian market. His significant contributions to Coke's growth in India showcased his strategic thinking, business acumen, and ability to identify unique market opportunities. Currently, Udaiyan Jatar is CEO and Co-Founder of Tecton, where he's working hard to move the needle on bringing an exogenous keytone beverage to the mass market while educating people at the same time.  On the future of the beverage business he states, "When I looked at our portfolio strategy at Coca-Cola company globally, I realized sugar had an uphill battle ahead. You also had the problem with aging populations not wanting to drink caffeine. And I also believed in my heart of hearts that I want to drink products we made that I was happy to drink, and that I was happy for my children to drink." Tecton opened its Series A round of $10m at the beginning of 2023 and has already raised ~$5m from investors that include the former Chief of Neurosurgery at Walter Reed, an owner of an NFL team, and Empire Family Investments. (The owners of Empire Marketing Strategies, the nation's largest food broker.) Tecton is looking for potential ambassadors, partners, licensees and strategic investors that can help build this revolutionary health & wellbeing brand.  Some key moments:  Job with Coke in India, ran a joint venture with Coke and Nestle Company shifted focus to health industry, created Tecton DARPA funded, military-focused product. Educate mass market on military technology products. Dream big, start small. Test, learn, refine. Focus on "high-end dining," not McDonald's. Defend transcendent brands against competitors. Looking forward to helping with distributors, samples, podcast, and ambassador program. Tecton will be a future household name! A few key takeaways:  The genesis of the business was driven by his Co-Founder's severe traumatic brain injury (TBI) after retiring from Special Forces. Tecton is a product that provides constant energy supply to the brain through the use of ketones, which are more efficient for brain cell metabolism than glucose. DARPA, the Defense Research Projects Agency associated with the Pentagon, invested in the technology behind it, as well as looks for hard-to-commercialize technologies beneficial for the military and long-term performance of soldiers. Udaiyan emphasized the importance of starting small, testing and refining before scaling up, and targeting high-end establishments before larger chains when launching their product. There's a huge need to also educate the mass market and healthcare providers about the benefits of the technology, as well as the importance of reaching influencers and the tip of the adoption curve to spread their message effectively. As a special gift for the HALO community, enter the code HALO on the company's website for 20% off. Expires Dec 31, 2023.  Resources:  Tecton: https://www.tectonlife.com/science  Udaiyan Jatar: https://www.linkedin.com/in/udaiyanjatar/  More on the history of Tecton: https://youtu.be/5SCxZnT1FUU Click here to download transcript.  Connect With Us:  Instagram: https://www.instagram.com/thehaloadvisors/?hl=en  Facebook: https://www.facebook.com/Integritysquare  YouTube: https://www.youtube.com/@halotalks  Twitter: https://twitter.com/thehaloadvisors  LinkedIn: https://www.linkedin.com/company/integrity-square/  Website: https://www.halotalks.com  Loved this episode? Leave us a review and rating here: www.ratethispodcast.com/halotalks and don't forget to check out the HALO Academy for Executive Education opportunities.

The Cognitive Crucible is a forum that presents different perspectives and emerging thought leadership related to the information environment. The opinions expressed by guests are their own, and do not necessarily reflect the views of or endorsement by the Information Professionals Association. During this episode, Mr. Kevin Gates discusses IPA's accomplishments over the past few years during his tenure as IPA's President. He also discusses IPA's search for his replacement. Find a link for more information about IPA's President search on IPA's homepage; applications are due no later than 15 Oct 2023. IPA will announce the new President in Dec 2023. Research Question: Kevin Gates suggests an interested student examine how strategic culture affects our approach to operating in the information environment (MISO, persuasion, deception, marketing, everything)? Resources: Cognitive Crucible Podcast Episodes Mentioned #76 Yuval Levin on the Constitution & Institutions #62 Jonathan Rauch on the Constitution of Knowledge Global Psychological Conflict by Ralph Sanders and Fred R. Brown A Psychological Warfare Casebook by Professor William E. Daugherty Cooperation and Competition Among Primitive Peoples by Margaret Mead Cocaine and Rhinestones podcast with Tyler Mahan Coe Propaganda Universe Youtube Channel Link to full show notes and resources Guest Bio: Kevin Gates is a Professional Staff Member with the Senate Armed Services Committee since March 2022, with a portfolio that includes DoD S&T programs and acquisition policy. Prior to that since December 2017, Kevin Gates was serving as the Vice President for Advanced Concepts at Strategic Analysis, Inc, a professional technology services and consulting company. In that role, he is responsible for managing a corporate division with contracts across the Navy, Defense Health Agency and Office of the Secretary of Defense. He had day-to-day responsibility for managing contracts and workforce across the division, as well as articulating and pursuing a strategy for maintaining high standards of customer service, and growth into new technology sectors and customer sets. He also provided direct client support to the Director of the Defense Laboratories & Personnel Office in USD(R&E), the Defense Science Board, and the Naval Surface Warfare Center Crane in the areas of microelectronics, spectrum warfare, hypersonics and strengthening the innovation ecosystem.  Prior to that role, he worked as a Professional Staff Member for the House Armed Services Committee since March 2007, responsible for the Information Technology (IT) and cyber operations portfolio, as well as the Science and Technology (S&T) portfolio. He previously worked for 8 years at Strategic Analysis, Inc of Arlington, Virginia for a variety of clients within the DoD science & technology community (including DARPA, ONR and the Defense Science Board), as well as the Homeland Security Advanced Research Projects Agency within DHS(S&T) and the intelligence community.  He graduated from the University of North Carolina at Chapel Hill with BAs in History and International Studies, and has a MA from Georgetown University's Security Studies Program. He is the co-author of a chapter on critical infrastructure protection in Volume III of Homeland Security: Protecting America's Targets, James Forest (ed.), 2006. He also served as an industry advisor to the Acquisition Innovation Research Center (since January 2021), a member of the Laboratories Assessment Board for the National Academy of Science (since March 2021), Engineering and Medicine, and President of the Board of Trustees for the Information Professionals Association (since December 2018), a 501(c)(6) supporting education and workforce development for the information warfare and cognitive security community. About: The Information Professionals Association (IPA) is a non-profit organization dedicated to exploring the role of information activities, such as influence and cognitive security, within the national security sector and helping to bridge the divide between operations and research. Its goal is to increase interdisciplinary collaboration between scholars and practitioners and policymakers with an interest in this domain. For more information, please contact us at communications@information-professionals.org. Or, connect directly with The Cognitive Crucible podcast host, John Bicknell, on LinkedIn. Disclosure: As an Amazon Associate, 1) IPA earns from qualifying purchases, 2) IPA gets commissions for purchases made through links in this post.