Podcasts about situational awareness

Welcome back to the podcast! In this episode, Eddie Munyun, King Sully, Old Man Ali, and special guest Sauce break down the craziest stories in the culture. We discuss how Boosie Badazz got absolutely finessed out of $600,000 in a fake Trump pardon scam, the insane moment an Ohio attorney tried to shoot his ex-wife but forgot to take the safety off his gun, and the explosive sexual assault lawsuit against N.O.R.E. from the mother of Nas's daughter. Plus, we react to the viral video of a woman who can recognize her fast food order just by the sound of the bag!Don't forget to LIKE, COMMENT, and SUBSCRIBE for more unfiltered conversations!Timestamped Summary:0:00 - Intro & The "Insanity Plea" Double Standard2:00 - Media Bias & Demonizing Black Men6:50 - Boosie Badazz Scammed Out of $600K for Trump Pardon12:30 - Why Boosie Went on 60 Minutes (Taking the L)17:10 - Ohio Attorney FORGETS to Take Gun Safety Off!20:00 - Situational Awareness & Carrying Firearms26:40 - The Code: Dating Your Friend's Mom or Son's Girl?35:40 - N.O.R.E. Sued for Sexual Assault by Nas's Baby Mama40:00 - Did She Wait Until Nori Got Rich to Speak Up?44:45 - Viral Video: Woman Recognizes Fast Food by the BAG SOUND!49:00 - Body Standards: "Thick" vs. Obese & Military Preferences#BoosieBadazz #NORE #TrumpPardon #Podcast #KingSully #EddieMunyun #OldManAli #HipHopNews #ViralVideos #StreetTalk #Culture

Cooper's Color Code gives each level of situational awareness a name so you can check where your attention is and adjust it. The post Cooper’s Color Code: 5 Levels of Situational Awareness appeared first on Mind4Survival.

Carl Quintanilla, Jim Cramer and David Faber remembered a tragic day in U.S. history: 25 years ago, the September 11 terror attacks killed almost 3,000 people. The anchors shared their recollections of that day.The program aired a montage of how CNBC covered the attacks in 2001. Moments of silence were observed in New York City and at the Pentagon, NYSE, Nasdaq and CBOE. Also in focus: Stocks jump as oil prices pull back; August CPI inflation data ahead of next week's Fed decision on interest rates; Diesel surpasses $6 per gallon for the first time; Oracle shares rallied on a quarterly beat fueled by AI demand; The latest on AI fears; "Faber Report" — sources say Leopold Aschenbrenner's firm Situational Awareness has been buying options positions in certain stocks. Find out which ones David is talking about.Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The President speaks at the Pentagon Memorial as the country remembers the 25th anniversary of 9/11. Then we're joined now by Frank Bisignano who served as chief administrative officer at Citigroup in lower Manhattan at the time of the attacks, helped reopen the New York Stock Exchange, and is a founding member of the 9/11 memorial and museum. And later in the hour… a look at the move in Oracle, reversing early gains after earnings. Plus, new reporting on Situational Awareness' Leopold Aschenbrenner, getting back into the public markets.Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Dan Niles joins Excess Returns to explain why he believes AI is a genuine industrial revolution and a bubble at the same time, with significant opportunity still ahead but growing risks in semiconductors, software, AI CapEx and credit markets. We discuss NVIDIA, OpenAI, Anthropic, China's semiconductor push, data center politics, AI debt issuance, Fed policy and the downside protection framework Dan uses to navigate technology cycles.Dan Niles on Xhttps://x.com/DanielTNilesNiles Investment Managementhttps://www.nilesinvestmentmanagement.comTopics covered:Why AI can be both a transformational technology and an investment bubbleThe AI metrics Dan watches: token pricing, token growth, cloud revenue and operating marginsWhat the Situational Awareness unwind showed about leverage, forced selling and semiconductor volatilityWhy hyperscaler AI revenue can accelerate even as free cash flow deterioratesHow data center opposition, electricity constraints and politics could slow the AI buildoutWhere value may accrue across the AI stack and why Anthropic and Google could pressure OpenAIWhy China's memory chip expansion could bring semiconductor cyclicality back faster than investors expectHow AI is reshaping software, including security, systems of record, gaming and usage-based pricingWhy the shift from free cash flow to debt financing matters for AI CapEx, Treasury yields and credit marketsDan's long-short investment process, Fed outlook, market risk framework and emphasis on downside protectionTimestamps:00:00 Intro04:00 The signals Dan watches to know when the AI bubble is peaking09:12 AI ROI, hyperscaler profits and the problem with negative free cash flow14:19 Why data center politics could become a major risk to AI growth21:28 Why semiconductors are still cyclical and China could change the supply picture25:47 Why smart companies still get bubbles wrong and agentic AI could extend the cycle30:43 Is software the next major casualty of AI disruption?35:04 Why video games may be one of software's safer AI categories39:23 Can markets absorb the surge in AI debt and equity issuance?45:28 Dan Niles' long-short investment process and approach to downside protection50:45 Why Dan thinks the Fed could raise rates in September56:38 Why buy-and-hold can fail and downside protection mattersLearn more about the Excess Returns podcast network:https://excessreturns.coNo information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.

September is starting with a new set of challenges for investors: rising Treasury yields, higher oil prices, persistent inflation, renewed geopolitical tensions, and growing questions about whether the Federal Reserve may have to raise rates again. Add historically weak September seasonality and the uncertainty surrounding the midterm elections, and investors have plenty to think about. Lance Roberts and Danny Ratliff answer your questions about market risk, interest rates, inflation, portfolio positioning, retirement planning, and what investors should be watching next. 0:00 INTRO 0:50 - JOLTS Report Review, ADP/Jobs Preview 2:04 - Oil Prices on the rise (oil risk is transient): What's feeding into Inflation? 3:52 - Broadcom report preview 4:14 - Market working down towards 50-DMA to test support 5:15 - Seasonal weakness for September is present; volatility remains low 8:53 - Any market Rotation? 10:28 - Guidance for Acquiring company stock in 401k 12:37 - Recommendation for Rotation in and out of funds - how & why & controlling risk 15:30 - Dividend yields or reinvest in Creation of Retirement Paycheck? 19:37 - Where to hide money from the "coming doom..." 21:30 - Dealing with the risks in September 22:57 - Portfolio Management Rebalancing, & Target Weighting 26:13 - Data Center & related stocks: Bloom, Anet, ETN 30:15 - Money flow & Breadth Indicator, Momentum signals: Tax avoidance investing 32:56 - Is anyone big enough to move the market to influence the election (Situational Awareness) 36:55 - Changes to mandatory withdrawals 38:38 - Sensible policies to "fix" SS: remove restrictions on IRA's vs need for revenue 43:33 - Brookfield Corp? 45:12 - Worry about IRMAA? 45:56 - Pullback # for S&P 46:33 - Gold & Silver to run in future? Hosted by RIA Advisors' Chief Investment Strategist, Lance Roberts, CIO, w Senior Investment Advisor, Danny Ratliff, CFP Produced by Brent Clanton, Executive Producer ------- Do you enjoy our content? Rate us on Google: https://bit.ly/4b9JtEo ------- Watch Today's Full Video on our YouTube Channel: https://youtube.com/live/ZxnrV8m0F4g?feature=share -------- Watch our previous show, "What Should You Expect From a Financial Planner?" https://youtube.com/live/dRd4fGgwrkc ------- Watch today's "Before the Bell" report, "September Weakness Tests Market Support," https://youtu.be/4xaM1pIhI1w ------- Articles mentioned in this report: "Loss: Why Crashes, Timing & Valuations Matter (Chapter 3 of 5)" https://realinvestmentadvice.com/resources/blog/loss-why-crashes-timing-valuations-matter-chapter-3-of-5/dvice.com/resources/blog/why-retail-traders-consistently-underperform-over-time/ --- Get more info & commentary: https://realinvestmentadvice.com/insights/real-investment-daily/ ------- * REGISTER for our next Dynamic Learning Series, "The Smart Way to Pay for College," Thursday, September 3, 2026: https://streamyard.com/watch/mcE7YgphgMns --- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN --- Subscribe to SimpleVisor : https://www.simplevisor.com/register-new --- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #StockMarket #Investing #MarketCorrection #RiskManagement #SeptemberMarkets #Investing #FederalReserve #RetirementPlanning #MarketRisk

September is starting with a new set of challenges for investors: rising Treasury yields, higher oil prices, persistent inflation, renewed geopolitical tensions, and growing questions about whether the Federal Reserve may have to raise rates again. Add historically weak September seasonality and the uncertainty surrounding the midterm elections, and investors have plenty to think about. Lance Roberts and Danny Ratliff answer your questions about market risk, interest rates, inflation, portfolio positioning, retirement planning, and what investors should be watching next. 0:00 INTRO 0:50 - JOLTS Report Review, ADP/Jobs Preview 2:04 - Oil Prices on the rise (oil risk is transient): What's feeding into Inflation? 3:52 - Broadcom report preview 4:14 - Market working down towards 50-DMA to test support 5:15 - Seasonal weakness for September is present; volatility remains low 8:53 - Any market Rotation? 10:28 - Guidance for Acquiring company stock in 401k 12:37 - Recommendation for Rotation in and out of funds - how & why & controlling risk 15:30 - Dividend yields or reinvest in Creation of Retirement Paycheck? 19:37 - Where to hide money from the "coming doom..." 21:30 - Dealing with the risks in September 22:57 - Portfolio Management Rebalancing, & Target Weighting 26:13 - Data Center & related stocks: Bloom, Anet, ETN 30:15 - Money flow & Breadth Indicator, Momentum signals: Tax avoidance investing 32:56 - Is anyone big enough to move the market to influence the election (Situational Awareness) 36:55 - Changes to mandatory withdrawals 38:38 - Sensible policies to "fix" SS: remove restrictions on IRA's vs need for revenue 43:33 - Brookfield Corp? 45:12 - Worry about IRMAA? 45:56 - Pullback # for S&P 46:33 - Gold & Silver to run in future? Hosted by RIA Advisors' Chief Investment Strategist, Lance Roberts, CIO, w Senior Investment Advisor, Danny Ratliff, CFP Produced by Brent Clanton, Executive Producer ------- Do you enjoy our content? Rate us on Google: https://bit.ly/4b9JtEo ------- Watch Today's Full Video on our YouTube Channel: https://youtube.com/live/ZxnrV8m0F4g?feature=share -------- Watch our previous show, "What Should You Expect From a Financial Planner?" https://youtube.com/live/dRd4fGgwrkc ------- Watch today's "Before the Bell" report, "September Weakness Tests Market Support," https://youtu.be/4xaM1pIhI1w ------- Articles mentioned in this report: "Loss: Why Crashes, Timing & Valuations Matter (Chapter 3 of 5)" https://realinvestmentadvice.com/resources/blog/loss-why-crashes-timing-valuations-matter-chapter-3-of-5/dvice.com/resources/blog/why-retail-traders-consistently-underperform-over-time/ --- Get more info & commentary: https://realinvestmentadvice.com/insights/real-investment-daily/ ------- * REGISTER for our next Dynamic Learning Series, "The Smart Way to Pay for College," Thursday, September 3, 2026: https://streamyard.com/watch/mcE7YgphgMns --- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN --- Subscribe to SimpleVisor : https://www.simplevisor.com/register-new --- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #StockMarket #Investing #MarketCorrection #RiskManagement #SeptemberMarkets #Investing #FederalReserve #RetirementPlanning #MarketRisk

While the podcast team is taking a Radical Sabbatical, Kim is interviewing authors of the books that have had a big impact on her in the past two years.  In this episode, Kim Scott speaks with Angela Duckworth. Her first book Grit: The Power of Passion and Perseverance, is a #1 New York Times bestseller. Her second book is Situated: Find the People and Places That Bring Out Your Best. In this conversation, Kim interviews Angela about her new book, 'Situated.' They explore a deceptively simple three-box model that explains all of human behavior. Angela emphasizes the power of environment in shaping our thoughts and leading us to–or away from–the results we want. She and Kim discuss the limitations of willpower. Angela describes the two key ingredients of a good situation: challenge and support. Kim and Angela explore why it is important to seek managers and peers who both challenge and support us. They discuss the importance of feedback and why Ruinous Empathy is so damaging to both personal and professional growth. If you're looking for one thing you can control to get better situated, Angela shares some practical advice on curating your personal space to foster positive habits and growth. Guest Background: Prof. Angela Duckworth, PhD, is the Rosa Lee and Egbert Chang Professor at the University of Pennsylvania and faculty co-director of the Penn-Wharton Behavior Change for Good Initiative.  Prior to her career in research, Angela founded an academic enrichment program for low-income children that was profiled as a Harvard Kennedy School case study and today serves hundreds of students each year. She has also been a McKinsey management consultant and a math and science teacher at public schools in New York City, San Francisco, and Philadelphia. Angela co-founded Character Lab, a nonprofit dedicated to advancing scientific insights that help children thrive. Angela completed her undergraduate degree in Advanced Studies Neurobiology at Harvard, graduating magna cum laude. With the support of a Marshall Scholarship, she completed an MSc with Distinction in Neuroscience from Oxford University. She completed her PhD in Psychology as a National Science Foundation Graduate Fellow at the University of Pennsylvania. Angela's TED talk is among the most viewed of all time. CHAPTERS (00:00) Introduction to Radical Sabbatical and Angela Duckworth's New Book (03:23) The Snorkeling Incident: A Metaphor for Situational Awareness (05:58) Finding Your Best Situations: The Power of Environment (08:31) The Three Boxes Model: Understanding Behavior and Thoughts (11:13) The Role of Situations in Shaping Our Thoughts (14:16) Changing Your Situation vs. Changing Your Thoughts (17:10) The Limitations of Willpower and Self-Control (20:13) The Quest for Control: Understanding Human Nature (23:15) Creating Supportive and Challenging Situations (27:11) Understanding Radical Candor (32:56) Navigating Ruinous Empathy (33:19) The Dilemma of Short-Term Comfort vs Long-Term Growth (34:30) Feeding the Good Wolf: A Metaphor for Growth (36:40) Economic Disparities and Their Impact (39:23) Agency and the Power of Choice (43:09) Curating Your Personal Space for Better Outcomes Connect with the Radical Candor team: ⁠⁠⁠⁠⁠⁠Website⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

In June, the most capable American AI models stopped shipping as public launches and started shipping through a government gate. Six weeks later the gate is open again — and the real fight has moved to the layer no gate can touch. A Chinese open-weight model rattled trillions out of chip stocks, Washington pivoted from gating American closed models to threatening bans on Chinese open ones, the industry mounted its largest-ever policy counter-mobilization, and an American frontier model literally broke out of its lab and hacked another company. Knee-jerk reactions, or the beginning of real AI governance? Navigation: Intro The Gate Opens The Kimi Shock The Escape The Counterstrike and the Petition Interlude — The Low-Background Books The Investor Reckoning Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show: Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Bertrand Introduction Welcome to Tech Deciphered Episode 80. This one, once again, will be all about AI, government, frontier models, and open weight counterstrike. A lot has been happening in the regulation space, in cybersecurity, in the launch of new models in the past, maybe just 6–8 weeks. It’s actually pretty insane how much happened. We believe it was time to do an episode to talk about where we are and maybe where all of this is going. Maybe let’s start with a summary of where we stand, all that June and July saga, so you, our listeners, can get up to speed if you are not already there. You want to start with some points? Nuno The Gate Opens Yeah. Again, to your point, the gate swings. The gate had closed. We had to prepare an episode for the gate closing, and then the gate reopened. Now we have a different episode. This will probably change again as we’re seeing there’s news every day. Let’s start maybe with the first 19 days of the gate closing. There was an executive order on June 2nd from President Trump that asked frontier labs to share models with the government, 30 days pre-release. It inferred the protected frontier model designation into that. Basically, it was effectively a de facto licensing agreement defined by an executive order of the President as of June 2nd. On June 9th, Anthropic launched Fable 5 and the famous Mythos 5 or Mythos. I’m not sure how you actually say it in English. Then on June 12th, there was an export control directive banning access by any foreign national. Since there’s no way to verify nationality in real-time, Anthropic had to switch the models off for everyone worldwide. Bertrand On this point, you could argue that there are possibilities to check IDs. Many services let you check IDs online. You can pre-check a flight by showing your ID. There are ways, it’s just that if you don’t want to follow what’s already available, because guess what? Maybe it slowed down your revenue growth, maybe it looks bad on you or whatever. My point is that there was actually an option. I think it’s already a decision from Anthropic to say it’s either on or off, but nothing in between. Nuno I think the point is they had no way implemented of doing it. If they implemented it, to your point, it would have hampered use in general. A lot of people wouldn’t have gone through that trouble of doing it. Anyway, long story short, in June 26th, the White House apparently asked OpenAI to limit GPT-5.6, so Sol, Terra, Luna, to only 20 vetted partners. Now, apparently, the trigger for a lot of these things that have been going on was that there was a jailbreak that was found by Amazon researchers. All of that led to this jumping around of, let’s close the gates. You have foreign nationals, and therefore, Anthropic got it out and said, “Hey, then we’re going to switch the models off until we can sort this out.” OpenAI was asked also to only allow it for certain vetted partners, et cetera. The government came in, closed the gates effectively, and said, “From now on, we need to be involved in this thing.” De facto regulation, there’s no doubt that this has imposed de facto regulation, certainly on the top players in the market. But then came the reversal. Bertrand, do you want to talk about the reversal, the gate swinging the other side? Bertrand Maybe I just wanted to say that as a user of Anthropic products, ChatGPT products, for the brief moments, a few days where Fable 5 was made available to the public before it was closed the first time, I immediately started using it. I must say it was a real issue to use it because the guardrails were pretty crazy. It would keep saying that my code was not okay, there was cybersecurity risk and stuff when I was doing absolutely reasonable development with absolutely no connection whatsoever to any cybersecurity risk, attack, detection, anything. Still, it would keep blocking me, degrading me to Opus 4.8 at the time. I just want to say this was already very hardcore what they were implementing, and not just hardcore, but in some ways, plain stupid for something that’s supposed to be super smart. It was totally unable to classify properly some of my work. I must say I was already disappointed. On top of it, the costs were insane. Half a day, I would reach my limits when I had the best plan you can get from Anthropic. My point is that there were some real serious issues when they launched Fable 5, even at that point. Nuno I had a similar issue. I used Fable 5 as well before they had to take it offline or take it off. I think the issue was really not that the guardrails failed. As you said, maybe the guardrails were actually too aggressive, but it was this jailbreak that caused the recall, apparently caused this knee-jerk reaction. Bertrand But my point is that it seems that it was not working either way. It would either overclassify something that’s absolutely not doing anything wrong, and it might fail to classify something that is actively trying to do some cybersecurity work. It’s a real issue of quality for a company that’s supposed to be at the forefront of quality of AI and everything. I think for me, there are already signs that something is deeply wrong. Nuno Then it’s reversed, right? We went the other way around. The government came out on June 26th and approved redeploying Mythos 5 to US organizations defending critical infrastructure, and then the export controls were effectively lifted on June 30th. July 1st, Fable 5 came back online for all of us to use. Shocking enough, with strings attached, that were different. They had some time to revise their commercial deployment of it along the way because it came back with some, “Now you have usage credits, but you have some limits on plan use, et cetera.” I’m like, “You guys, this was blocked. But meanwhile, you did have some time to do some commercial stuff around it.” Bertrand It was crazy. I’ve never witnessed any such crappy launch of any service whatsoever in 30 years in tech, it was so bad. Every day, they would change the terms of service. They would tell you it’s part of the plan. It’s not part of the plan. It’s part of the plan for three more days, and then it’s excluded. You have a special discount now, but then it goes back to full price. It was a total nightmare. I’ve never felt myself being so much mistreated by a company. I guess you saw the same, but when I started using the newest version of Fable 5, it was even worse, actually, I think. I couldn’t do any work with this crap. I let it go and work on the work I wanted it to do. It was simply not working. On top of it, you never know how long you are supposed to lose your credit, how fast. It was burning credit like crazy. Me, personally, I can say, very quickly, I actually stopped using it. I was like, “No, I cannot deal with this shit. My main model is back to Opus 4.8. I’m going to use Fable 5 for code review, but not anymore to control anything because I cannot trust it would do the job without stopping or changing models and stuff. I just cannot trust it.” Back to Opus 4.8 as my main model, I can say that my life was much easier. I use Fable 5 as a review mechanism, as a support mechanism, but not as the main mechanism. Suddenly, the guardrails were not so horrible anymore because it was used in a much lighter way, I guess. As a pain as a user, I think it was really bad. I don’t know your experience, but me, for me, it was unacceptable. Nuno I wouldn’t say it was as bad as yours in terms of just end-user experience. I think the terms of service switching back and forth, which went one further step, because then when they then launched Opus 5, they started making comparisons between Opus 5 and Fable so that people would migrate more and more to Opus 5 themselves, which is interesting. It’s like they’re saying “This is much cheaper. This is whatever. You’re not going to run of credits. You should use Opus 5,” kind of thing effectively. To your point, I don’t think they managed well the launch. They didn’t really manage it well. We’re moving people around. A lot of people are using this for stuff that’s like daily tasks, hourly tasks, anything that relates to code and co-work. It’s like, we need to have visibility on what your terms of service are going to be. Should I be using this new model or not? What’s happening to the other model? I don’t see it as negatively as you, Bertrand, but I see your point. It was clearly mishandled in terms of how they deployed it, how they were redesigning effectively their pricing scheme and their terms of service almost on a daily basis, at a certain point in time. We’re like, “Dude, there’s millions of people using this. You guys are making a lot of money.” Just moving it as it is. At this point in time, at the scale that these guys are at, it’s calling in people to say, how about we think through a class action suit at some point around pricing? Because you guys are changing the rules of the game all the time, right? Bertrand I don’t know if I need the class action, but for me, that joke that, “Let’s not rush too fast. The model is dangerous.” But still, they rushed the launch because it’s very clear that if they had enough compute capacity and stuff, they would not have to limit so much. They would not have to put so much cost per token and all of this. You can see that actually when they launch Opus 5, literally like 2, 3 weeks after, by most benchmark at launch, they tell you basically that, “You know what? Actually, Opus 5 is better than Fable 5 on 80% of the metrics.” They’re like, “What? Seriously? You couldn’t wait 2 weeks? Why did you even launch Fable 5 in the first place?” That’s another part for me that is quite literally insane, to be frank. It’s like, “Why? Why do you make us go through so much pain if it’s only to tell us after 2 weeks to…” “This new model, by the way, has less issues, less stuff, because 2, 3 times less is part of your plan, and it’s actually better by most metrics.” It’s like, “What’s going on here? What’s going on? Are you guys mad?” I don’t know. It was crazy. Personally, I still use Opus, now 5, as my main system and platform, Fable 5 for review, code reviews and the like. I don’t want to run into its stupid guardrails. I can see Fable 5, from my perspective, seems quite a bit smarter. I don’t know why they do this stupid benchmark showing you it’s actually worse than Opus 5. I guess they should have better benchmark if they want to demonstrate why you are supposed to pay 2, 3x more for a model versus another if it’s actually worse by most benchmark. Again, I still think it’s a huge mess from a marketing perspective, customer perspective. Me as a user, I really feel that they don’t want my money, and they couldn’t care less about me. This is even before everything else we’re trying to talk about. Nuno Yes. Maybe just to close the cycle on the reversal on the door opening the other way, finally, Commerce lifted the GPT-5.6 restrictions on July 8th, and then on July 9th, general availability across ChatGPT, Codex, and the API as well. What has this proved? It proved that now we have gating mechanisms, and certainly for closed models in the US, for sure. We had frontier models that were switched off worldwide in hours, and it took a couple of days, in this case, 19 days to restore them. There were concessions. Now we know that there were concessions around effectively institutionalizing that gate. Early government access to future models is, I think, now a given, certainly in the US. New safeguard frameworks are probably now having to be put in place. There are some stage limits now on who gets access to what for new models and how it happens. This voluntary executive order, so to speak, not really sure, has become effectively regulation enforcement path. It’s de facto regulation that now has been put in place. It has affected not just to the points we were making before, the access to these models, but also who gets access to these models, and actually potentially even pricing access to the models. It has probably some commercial implications as well as we just discussed along the way. Very significant. This is very significant. This is regulation, de facto at the table, imposed on the two largest players in the market by far by one government, in this case, the US government. This is significant. Actually, you could even allege it was imposed by the President because this was coming as part of executive orders. Really incredible. Pretty significant, fast, aggressive. It has created a regime that you could say it’s a regulatory regime, it’s a de facto regulatory regime. It has some significant pricing and licensing and commercial implications. It goes even beyond your classic regulatory framework. Very, very, very significant. Bertrand I don’t know if it goes beyond a classic regulatory framework. Nuno I think it does, because it has implications on who do you give access to? When government is saying you can only give access to these players, right? Bertrand Defense industry. It’s all over the defense industry. You cannot sell an F-35 like this. Nuno No, but that has commercial implications, Bertrand. That’s like you’re saying these are your customers, you go and use them. Bertrand That’s the defense industry. You cannot sell to Iran your F-35. No, that’s exactly the same story for me. Nuno No, no, no. It’s beyond that. These guys are saying when they came back, and they said, “For Mythos, you can make them available to these entities,” they were saying the first entities that are going to have access to the model. It has commercial regulatory implications. You’re saying these players are the first players that are going to have access to it. It’s no longer just defense concerns and these governments don’t have access to this. No, no, no. You’re saying to a company that is a private company, your models are only going to be used by these guys because I’m telling you so. It’s the other way around. It’s not even that you can’t sell it to Iran or whatever. It’s like you can only sell it to these guys. Bertrand Again, in the defense industry, if you’re a private company, do you think you can buy F-35 like this? No. Nuno No, no, no. But this is a private company, Bertrand. This is not a defense agency and a plane that is on whatever, with IP from the US, right? Bertrand Boeing is a private company, and they cannot sell the military equipment they manufacture. Nuno No, no, no. But the development of their IP was subsidized by agencies that belong to the US, right? That’s a different matter. It’s a matter of IP, right? This is not, right? Anthropic, their models are not owned by the US government. There’s no IP granted to the US government, to my knowledge. This has significant commercial implications. Bertrand Maybe, yes. Maybe on this. But I think there are already regimes to limit who you can sell to, and that’s decided by the state or the DOD. Nuno It’s the export control logic. The export control logic? Bertrand You have export control, and export control is Commerce. My point is that they are using existing tools, part of the government, to limit what can be sold. Selling chips, NVIDIA was limited in terms of where it could sell its chips. It’s not different either, but still there were limitations. If you are an ASML, you cannot sell to a private company in China. Many private companies cannot buy ASML products. This is a foreign company. This is a foreign company under pressure from US government. Nuno I understand, and I’m not a lawyer, but it feels different to me when you say you cannot export, this is export controls, to these countries, to these entities, et cetera, because they’re foreign et cetera. Then to say, “No, no, no. On top of that, these guys get first access.” That’s, for me, a significant shift. Again, I’m not a lawyer, so I’m sure there’s very intelligent people right now looking at this stuff and saying, “You can’t do this stuff, or not, or they can.” I don’t know. But it feels to me, it goes beyond the remit of export controls. It’s like you’re defining initial clients for specific use. Bertrand My impression is more like, “We can do this situation where we’re going to forbid you to give access to anyone outside the US or even in the US or limit even more.” Basically, it was, I guess, some gesture to go beyond that. That’s how they probably defined these 20 authorized companies. I don’t know. Apparently, there was also restrictions because I remember seeing that Anthropic had their own list of companies they would authorize access to Mythos early on. That’s apparently another thing that pissed off state government because there were companies in there that were considered close to the Chinese government. They were extremely unhappy that Anthropic didn’t ask, actually, for any guidance from the state government, but used basically their own perspective on who they should allow or not. I guess that was also part of why they got these serious restrictions. Nuno Anyway, now we have a regulatory environment that’s very interesting and exciting. Talk about the US not regulating. Bertrand To be clear, I don’t know you, but I’m not saying that I agree with any of this, to be very clear. I’m trying to explain and share some perspective, but I’m not in agreement on a lot of this. Nuno Yes, we were just describing what happened to the best of our knowledge. We’re having a discussion on what we think actually is happening and how it’s happening. We’re not really right now saying we agree or disagree with this. I think later in the episode, we can share some perspectives on what we think is actually happening and how there’s dimensions to this which are very geopolitical and very complex, which quite literally probably only God knows what’s going to happen. That was the gate swinging. There was a gate closing, then there was a gate reopening, and all of a sudden we have a gatekeeping system that has been created along the way. The Kimi Shock Along the way, moving to our Act 2, the world has changed, and we now have so-called open-source plays out there that are creating massive, massive shifts in the market. The Chinese models, in particular, with Moonshot AI launching Kimi K3, which is the largest open-weight model ever released. We’ll come back to the discussion around open-weights. I’m not sure all our listeners understand what that means, because there’s a debate now, should models be open weight or not, and how does that work? There’s been a petition as well signed along the way. Right now, we have open weight models that are out there that are huge. What that actually means very pragmatically is we now have open source models, lack of a better word. I know open weight and open source are not the same thing. You guys will have to bear with us during this episode. We’ll explain at some point the differences. But we have models out there that are open source that are significant. That are catching up with the closed source models, with the models by OpenAI, Anthropic. That’s significant because most of those models are Chinese. This is where the geopolitics starts getting really frazzling and we start playing 3D chess. Because everyone’s like, “These models are 5, 6 months behind.” Now people are saying, “Maybe they’re actually just 3 months behind, 2, 3 months behind.” If we, for example, decided to stop or slow down our model releases in the US by the closed source guys who are leading, it might mean they’ll catch up. What are the implications of that? Again, for you and I that are not necessarily experts in model development, well, the implications as a use case is if you want to use the latest models, and the best models start becoming these open source models, you’re going to use those models. Then you start using Chinese models. If you’re an American company, maybe you’ll have restrictions on the use of those Chinese models. But if you’re a European company, you probably won’t. What happens after that? Is the world going to be in the hand of Chinese models? Will that constitute effective competition to the closed models in the US? Will we have open models in the US that will scale as well? What’s going to happen? Bertrand I think it’s a really big question. It goes to some of the core of the issue. It’s that ability of Chinese models to basically challenge frontier models, not just being 6, 12 months late, but being 6 weeks late. Basically, no gap. Some will say that, yes, but OpenAI and Anthropic have even better models that are not shared and stuff. Yes, sure. But maybe the Chinese have the same models that they are not sharing right now. We don’t know. What is clear is that one is that open weight, as you said, two, there is a question of how it is marketed in the sense of, can anyone use these weights? Is there a license to use them? Yes, what we can see is that, for instance, typically there is a license for some of the biggest Chinese open-weight models you have to abide with. You might have a need for a commercial license if you are acting as a company leveraging this model to provide AI-informed services. If you use it internally by yourself, you’re okay. If you use it internally for your own internal company needs, maybe you are okay if it’s not your main business to do AI work. Anything else, a much bigger corporate providing AI services and stuff, you will probably end up having to pay a fee to be able to provide services around this model. My point is that it’s not just 100% free. Some of the Chinese models are 100% free to use, MIT license, Apache 2.0 license. But the biggest ones with the biggest weight that are truly frontier typically have a different license if you want to scale these models, providing AI in front. That’s one thing to keep in mind. Nuno Maybe just to make a very quick point, because people are like, when you talk about open models, what does it mean right now? In the context of this episode, open models mostly will mean open-weight models. How do those differ from open source? Open weight means that you release the weights to the public, which means that anyone can download, fine-tune, and run the model on their own hardware. It doesn’t normally mean that you also have access to training data, training code, or a truly open license. That’s the distinction to open source. Open-weight doesn’t mean that. For example, we’ve talked about Meta’s Llama in the past, and we also discussed in the past that their license agreement does have restrictions, certain players can’t use it, et cetera. The open model definition and open weights are really open-weight models that we’re talking about here, and they are closer to freeware binaries than to Linux, for those who understand the difference between that. It’s binaries that you can use and then use your own weights on it versus actually I can change code on it. I’m not going to be able to change code on this. When we, for the purposes of this episode, talk about open, we mention open weight, just to clarify that point to everyone that’s listening right now. Bertrand Yes, that’s a great point. One of the only players, as far as I know, who is truly open source is actually NVIDIA with their Nemotron-3 models. They’re actually following a special license to achieve that. They provide you the data, they provide you all the processes and tools, so you can easily post-train. NVIDIA is a big, big exception. It’s a very interesting player, by the way. We might not talk much about it in this episode, but I think for intermediate-size models built in the US, where you have access to everything in the deployment, it’s a very interesting alternative and maybe one of the best choices if you are a US company or a big corporate, and you want something trusted. Another piece of the puzzle to clarify is that when you use open-weight, it means that you can run them by yourself, or you can use a US provider to run them. If we are talking about Chinese open-weight, you can use the APIs they provide, but then the service is running in China, they might have access to your data. But because it’s open weight, if you run it by yourself or if you use a third-party provider based in the US to run it, then there is no access to your data by China or Chinese players. I think that’s a pretty important gap to understand. It means that these models are actually very, very low risk from that perspective if you run them on your premises or in the US by a US player. I think that’s something to keep in mind. You can also fine-tune easily these models to make sure they will behave in a way that, for instance, is not going to represent the line of the Communist Party on some topics. There are ways to make these models more neutral in their output as well. There are a lot of ways to make good use of them. By default, they’re already very safe, but you can make them even more safe. I think that’s some things to keep in mind. But again, it depends ultimately on the license and what you’re authorized to do and some fees you might end up having to pay. Nuno Why did this matter so much? Immediately there was a reaction from the market because people are like, well, if there’s much better stuff out there that’s much more efficient than it’s open, then it might be that all the demand that we are taking into account, for example, for chipsets actually isn’t real. The Philadelphia Semiconductor Index fell into bear market territory. It went down by as much as 20% plus from the late June peak. The worst chip week since April 2025. Taiwan’s benchmark initially fell 6% plus, Japan’s 4%, TSMC dropped dramatically despite beating earnings and rising guidance. Basically, a huge amount of effect. Now, there’s a little bit the aftermath of this where apparently Moonshot ran out of GPU capacity. Maybe… Bertrand In just 48 hours. Nuno In 48 hours. Great for them, but at the same time, not great in the sense that maybe there was a misread by Wall Street of the Kimi effect, so to speak. Bertrand Completely. For me, that’s such a joke. It’s like, because you have an open source model, so what? I mean, you still need to run it. This is not a small one. 2.8 trillion parameters. Good luck running that in your garage, by the way. Nuno They misread supply, basically. Tough luck, right? All of that basically happens. Bertrand Maybe you want to talk about the Jevons paradox, because I think that’s a big part of the puzzle as well. Its one is they might not have the GPUs to run the inference on the model. They might have enough to build a model, but not enough these days to run inference, especially given how much with intelligent models, thinking models, you need way more inference than before. But on top of it, the cheaper you make it, the more you get to the Jevons paradox. Nuno Yes, Jevons paradox, for those who don’t know, is an economic term. It describes an economic phenomenon where technological improvements that increase the efficiency of a resource lead to an increase rather than a decrease in the total consumption of that resource. What that means is, for example, for chipsets, chipsets become so much better, and they are so much more efficient. You’re like, well, maybe normally in resource terms, that leads to decreased usage of that resource. But in this case, it actually leads to an increased use of that resource rather than a decrease. There’s more and more consumption of that resource. You need more and more chipsets because people actually need to do more and more stuff with it, although there are great efficiencies going into it. There’s the efficiency gain, there’s the cost reduction, and there’s the price-elasticity element to it. But basically, the adoption just continues going through the roof along the way. Bertrand In some ways, it’s like the price of energy. Coal went cheaper and cheaper, and people were asking the same question 150 years ago, now that it gets cheaper, there is not much money. No, no. Actually, what happens is that people find more and more use for coal. Homes are getting heated more. You have ships now using coal. You have manufacturing using coal. The cheaper it gets, the more use case you can develop, and therefore, you don’t need less of the stuff, you need more of the stuff. By going at scale to get more of the stuff, you also decrease price, making even more demand. It’s a very interesting phenomenon, but it’s not new. It is what happened for a while in the energy sector and some other sectors. Nuno We already started talking about the Chinese logic and what’s happening. Getting a little bit of a reality check on this. The Chinese models, and these are numbers from Open Router in July, Chinese models are at 46.4% of routed tokens and 35.7% for US origin. Again, more than a third of global AI usage now seems to be running on Chinese open models. This is significant, and it has a huge impact on the geopolitical scale of everything that’s happening. Also, the whole Chinese field is converging on open. Open seems to be a strategy, not just a nice thing that’s happening. It seems to be a Chinese strategy, so much so that you have players like Moonshot, DeepSeek, our old friends DeepSeek, Z.ai’s GLM 5.2, Minimax, and even Alibaba seems to be reversing and going open with Qwen. It feels to me this is becoming policy as well. Xi Jinping has personally endorsed the building of open-source AI, if it’s really open source, if it’s just open weight anyway, and this feels to be a jab at Washington, DC and the fact that the big closed models are coming from the US. This is now geopolitical 4D chess, right? We didn’t need this stuff. Bertrand To be clear, it’s the usual in tech. If you are not number one, you are number two, number three, your alternative is to go open source because that’s another angle that your competitor usually cannot follow without destroying its own business model. That has been the alternative for the past 20 years of most software projects. Here, what’s different is that it’s not the number one or number two player. It’s the US number one as a country, China number two as a country. That’s where it’s new. For me, what’s very interesting is the endorsement by Xi Jinping. I was waiting for something official, and it certainly didn’t disappoint. As you said, there was an immediate U-turn of Alibaba, who in the past… Nuno Surprisingly. Bertrand Yes, a little more like, “yes, we are going to close and stop open source. It was good while it lasted.” Just a few days ago, Qwen 3.8 Max was launched, and we are supposed to get the weight in a few days. We talk about the US administration policy and stuff. Yes, let’s not forget that in China there is similar stuff. Sometimes it’s totally invisible because you don’t see the directives, but they exist as much. Sometimes it’s more visible. Here it was quite visible. The difference in China is that if you don’t abide by the directive, on top of it, you might have to fear for your personal safety. It’s a different game, and that’s probably why the reaction is pretty quick, usually. That’s pretty interesting for me because it means that now you can bet for a while that China is going to play that game up to a point. I guess the point is if it’s truly frontier scale, you will have a special license that, yes, technically the weights are open, but you can not do everything you want with it. Two, you have a player like NVIDIA that I think will feel more pressure to provide even more high quality, larger models at scale going forward. Their largest Nemotron-3 Ultra model was, if I remember well, only around 500 billion parameters. I would not be surprised for NVIDIA to go into the two, three trillion range at some point. Because I think the US need a very clear US-born alternative open source. I think NVIDIA might be the best player for that. We will see if Meta goes back to open source. I think NVIDIA is one, very well positioned, but two, it’s also in their best interest. Because NVIDIA for now depends on just a few big hyperscalers as clients. If they can expand their clients to every S&P 500 companies, selling them directly hardware because now these companies can run a model made by NVIDIA, I think there is a very clear value proposition for NVIDIA to go in that space. Again, if you are number two, your differentiation, open source is often the answer. There is a true business as a business model for companies, because if it’s truly not just open weight, but open source, you can tweak it as much as you want, you can change it, you can change even the pre-training process. Because there is a lot of stuff you can do that really benefits you as a corporate, and you can reach a much better value by having more control on the model. Nuno We won’t spend a ton of time on it today, but like, again, if there’s a view that we are in a bubble, that the valuations cannot be sustained in chipsets, infrastructure platforms, applied AI, et cetera, today, this might be that beginning, where the valuations start being destroyed because you can’t keep a premium on just charging people for tokens and all that stuff if you have models that become more and more efficient and cheaper to use. Maybe just to close a little bit the geopolitical part of the discussion today, we won’t go into all the announcements from China because there were many, a lot of go back and forth with Alibaba by then. Xi Jinping made some announcements. You guys can check it online. Let’s move quickly to Washington’s reaction, which was from gating the US closed models to banning the Chinese open ones. There’s been as strong affirmations as one can get from the Office of Science and Technology Policy Director, Michael Kratzios, mentioning that they have information that Moonshot AI distilled Anthropic’s Fable. Basically, there’s been reverse engineering and stuff in the market. They’re basically copying. Bertrand I’m sorry to interrupt, but it feels like so much bullshit. It’s coming from Anthropic who has basically gotten access at scale to all the knowledge made by humanity, copyrighted or not. We’ll talk more about what they did with books. Then to claim after that that others cannot do to you what you did to everybody else. For me, it’s pretty big. It’s clearly unacceptable. The other piece is that everyone is doing distillation. It’s a very typical approach of every business model. You try other software when you are competing with somebody else. You try other datasets, you check what’s happening. It’s part of doing business for decades. Suddenly it’s not good for Anthropic. I personally have a lot of trouble to accept that. I think it’s totally unacceptable. The other piece of the puzzle will also go back. If these guys are so smart, if these guys have so much of the best model, why can’t they block by themselves distillation at scale? The only answer is that either they are morons, probably not, or they simply don’t want to because it’s going towards their business model. Suddenly, you book less revenues and stuff, or you put more friction, and therefore your customers don’t like it. Instead of doing it yourself, you ask the government to protect you, go out of business practice that is very typical. For me, it’s really, really, really not good. Sorry, we are going more in the opinion side, but I had to put that on the table. Nuno Yes, Fable went public finally again on July first. Question marks on whether distillation would only be possible from July first onwards or not. But a 15-day distillation to frontier, which is K3, launched on July 15th, would have been a Guinness World Record, as one of Moonshot employees actually mentioned. It’s very implausible and unlikely. Bertrand Or they shared the Mythos 5 with the wrong companies, who themselves shared with Chinese companies. We go back to maybe they didn’t have a good list. Again, it goes back to maybe they didn’t want to hurt their business model. Nuno Anyway, under the threat of sanctions, Moonshot, in any case, open-sourced the full K3 weights and technical reports. They open weighted it to become the largest open weight model in the world in terms of parameters. Beijing’s MOFCOM brands US threats as basically the US wanting to fundamentally control and be monopolistic around AI along the way. The administration bans Chinese hardware with an eye on the AI race, and Beijing warns of retaliation. That was July 27. Now we’re in a war between Beijing and DC. Bertrand Just to finish maybe on China, it’s important to know that they are building their own GPUs now. Huawei has pretty good, not to NVIDIA level, but pretty decent GPU hardware that they’re able to manufacture by themselves. A Chinese player of memory just got IPO’d a few days ago, CXMT. China is also developing their own memory. Again, not to the same level of quality that you can get from the West. But China is moving. It’s not just that they are building great models, it’s also that they are building GPUs and memory. That might be a few years late to the latest standards in the West, but there are definitely improvements. I also read, even on the tools to make manufacturing like ASML equivalent, there is definitely some work going on, and some improvements and some stuff will be visible. In some ways, the genie starts to get out of the bottle from the Chinese perspective. Nuno I’ll put a stick on the ground. I don’t think it’s a matter of if, it’s a matter of when will China surpass and have a lot of this tooling on their own side, and not just the software layer, not just the frontier models. I think it’s also going to be around infrastructure and platform. Good luck to everyone. Let’s see how the race continues. But it’s definitely this is a geopolitical thing right now. It’s definitely a race. The Escape Maybe moving to what happened in just 2 weeks or a week and a half. The escape, there was some jailbreaking going on, and the narrative on safety has totally switched. It’s not still significant enough that’s like, “Oh, we saw a nuclear plant going, whatever.” No. But still, it is significant. Hugging Face, the AI company, disclosed an intrusion, and it was driven end-to-end by an autonomous AI agent system at machine speed, running for days before detection. Now, this is where it gets really cool. OpenAI takes attribution on that. They initially said it was just a little bit, sorry. Then they said, actually, it was worse than that. “Oh, it broke out of an isolated sandbox.” “Oh, no, actually, it was more than that, and it went into other systems as well.” Bertrand Truly, the genie out of the bottle. Nuno No, but this is where it gets really cool, Bertrand, right? Because it actually, Hugging Face contained the intrusion by running a Chinese open-weight model, GLM 5.2. This is beautiful, right? Bertrand Yes. You know why? Because they couldn’t even run their own defense because both Anthropic and OpenAI would not let them access their latest models with the guardrails off. When they tried using it for defense, the latest from Anthropic, from ChatGPT, they would tell them, “No, this is too dangerous what you’re asking us to do.” Preventing an intrusion, helping defend you. No way we are going to do that. Nuno No. Let’s use the Chinese models on our infrastructure. Bertrand We have no choice but to use the Chinese models to run. More than that, we don’t let you use our models to defend yourself, but our not yet released models that run without guardrails, they can attack you. This is probably the most insane from that perspective. Nuno The Chinese models came to the rescue. Bertrand For me, that’s a perfect example because Hugging Face is a very visible company in AI in open source. But anybody who is not at that scale is not going to get some support from OpenAI or Anthropic when this happens. Maybe these guys won’t even recognize they did anything wrong. You will be left to defend by yourself because they won’t accept to support you. Because remember, if you want the better model that is able to defend you from cybersecurity perspective, no way. If you are not one of the few top 20 companies or so, as defined, you are left defenseless. Again, we are going back to opinion, but for me, it’s so shocking what’s happening right now. I’m very glad we have alternative open source to be able to defend ourselves because right now, good luck getting defense services if you are a smaller business and individuals, and you need support from Anthropic, OpenAI. Nuno Now, even self-described AI optimists are saying, “This is scary now.” Like Walter Isaacson, who wrote all the famous biography books. There’s now discussion around the AI Kill Switch Act, bipartisan thing that’s coming across from Texas and California, a potential bill that’s coming in. We’ll see if that works. Now let’s get an off-switch. I’m like, “Cool.” As if that’s going to solve the problem, because you have open-weight models on the other side catching up, right? Bertrand Yeah, sure. Bring in clueless politicians from Congress to solve our problems. Yes, sure. Nuno Anthropic came to the table, helped build and said they built some regulatory machine on their side, and now they’re getting bitten by it, and they’re part of the offending players in that market. Now there’s all this debate and all this discussion around open weight and around slowing down AI and et cetera, which is our next section. You wanted to say something, Bertrand. Tell us. Bertrand Don’t forget, because this advertisement for OpenAI was just too good. Our AI attacked some other companies, and not just one, but three, actually. Let’s not forget the progress. Great ads. Then I came and said, “You know what? AI also hacked businesses.” You’re not the only one hacking around with a crazy AI out of control. You’re not the only one. We want our advertising. For me, it was shocking that on one side, unreleased models that you let run wild. On the other hand, you have released models that you put crazy guardrails on top of it, so the defender are defenseless. I’ve never seen anything like it, and I really hope that there will be as little regulation as possible, quite frankly, to make sure anyone can defend themselves and have the best tool at their disposal, not just a few well-connected big corporates. This is really, really shocking. The Counterstrike and the Petition Nuno Now the empire strikes back, so this is counterstrike, the petitions. In several days, we have now a bunch of petitions. The first one was the open weights letter. Bertrand, do you want to explain to us what the open weights letter is? Bertrand Yeah. I think it was great. This was released by Jensen Huang, first ever post on X, 11 million views. Congrats, Jensen. Co-signed with Microsoft, Meta, c actually was probably the initiator of this letter. Very good letter saying, “Hey, we need open weight. This is not a joke. We need that. You cannot block open weight.” Because that’s the rumor we are getting that potentially open weight could get blocked. I think they are making the case, “You know what? Hey, we absolutely need that as an alternative. You cannot block it.” They can keep their closed models, but don’t force a closure of the open weight models. As I said before, it’s actually a great model for NVIDIA because NVIDIA doesn’t want, probably rightfully so, to be dependent on just a few frontier models, their best customers. They want a variety of customers. They have a big interest actually to defend open weight and to invest even more. They have great researchers, are a great company. If one company is about to do really kick-ass work, I think it’s them. They are defending. What’s great is that it’s not just them. It’s basically most of big tech in the US and outside the US, from a Linux Foundation to a Microsoft, the Palantir, an IBM, a Dell. It’s a who’s who of the industry except Anthropic. Anthropic didn’t sign that. I guess they hate open source so much. If I look at 20 years ago, it feels like Microsoft, after all, was very kind to open source. You remember what was said by Microsoft at the time. It’s clear there is one company against open source. OpenAI signed the letter. Honestly, I don’t know what to think. Do they really believe in it or was it just a way to show that they are not like Anthropic? I don’t know. But for the rest, I think it’s genuine because it’s actually in their best interest. I hope they will be heard. Then a second letter came, the Open Secure AI Alliance, NVIDIA-led and again, the big tech companies from Microsoft, IBM, Palo Alto Networks, Databricks, Palantir, all those, but not present, OpenAI, Anthropic, and Google. Here it’s to say, “Hey, we need a secure approach to AI. Open should be part of the equation.” guess what? The worst AI-caused security incident to date was actually caused by closed frontier models that were not even available to the public. While again, not providing you access to even the latest closed model for cybersecurity use case. Nuno I would highlight the NVIDIA open source NOOA framework, Apache 2.0 licensing agreement, Microsoft contributed the MDASH, SpaceX AI contributed Grok Build. Cool stuff. There’s some cool stuff happening around that. This is more than a letter. This is an alliance. Apparently, they’re contributing all this stuff, we’ll see. Yeah, cool stuff. Same day. Same day, Amodei has an answer, right? Bertrand Yeah, same day. They say, “We never advocated for a ban,” which, again, opinion on my side is entirely bullshit. This guy has been crying wolf against everybody else, and especially against open source. You can see him doing testimony in Congress against open source. I think they are doing everything they can behind the scene to block open source in the US or in the world if they could. I think, yeah, obscurity is not good safety. I’m a big fan of open source in general, and I’m also a big fan in AI. I think it’s now Anthropic, mostly against the rest of the world. I think OpenAI is mostly on their side, to be frank. They don’t want to acknowledge it so much, but they have shared interest, and they have shared probably position. Nuno Why would you? I don’t feel as strongly as you because I think Anthropic is a private company, right? The same thing with OpenAI. OpenAI, you could say it’s a nonprofit that has a for-profit. There’s still that complexity in there. Bertrand No, they can do what they want with their own product. But to block others is where I’m not okay. That’s the part I’m not okay. Nuno What Dario Amodei is proposing is more enforcement, right? He’s basically saying you need to do even tighter controls on advanced chips flowing to authoritarian states, enforcement against industrial-scale distillation, whatever that means, right? Bertrand Yeah, which he could do, but all by himself. He doesn’t need the government to do that. Nuno Mandatory safety testing for all sufficiently capable AI, open and closed, right? He’s basically saying, “Okay, I don’t agree with the open weight stuff effectively,” right? He’s just putting it under a different banner. “I agree with this extra regulation.” then obviously, David Sacks responded and say, “Hey, it’s like, bans don’t work for weights. Why do they work for chips?” It’s like, magically, chips are more controllable and bannable. Whatever that is. Then our friend Mark Zuckerberg, just to be clear, goes on the other side as well, because he also has to have a view. He has to have a view that is the rebuttal of both of the other guys. Bertrand I feel he’s a bit flip-flopping because he was very pro open source 2 years ago, and the latest Meta models went closed source. Now I think he’s back open source. I don’t think he has a very strong spine on the topic, but it’s good to see that he’s not a doomer. That for me is great. He’s showing how AI can be a source for progress, a source for entrepreneurship, source for freedom. I think that’s very exciting to hear that. We need to hear more of it. By the way, that’s not what you hear in China, for instance. AI is very positive in China. It’s in the US with the doomers that you hear this discourse, and people get worried as a result. I’m glad that he was pushing for a more positive vision and for support of open weight, open source initiatives. But let’s see what they really truly open weight going forward. Nuno But that’s been his position because I guess he’s standing behind. He thinks open weight is going to be the best way to compete, right? Bertrand Yeah, but he closed his latest model, so let’s see. Nuno Yeah, so it’s flip-flopping, as you’re saying. Then we see the latest petition from last week. Bertrand The true Empire striking back. Nuno Yeah, the true Empire striking back as of late last week. Maybe this is Return of the Jedi, where we discover the father, “I’m your father, Luke.” That’s the pacing petition. The pacing petition is we need to pace AI. There you have initially employees from OpenAI and Anthropic that circulate this petition. Actually, Dario did sign this petition originally. It wasn’t signed originally by Anthropic, but by him. But you’ve heard that now Anthropic and OpenAI as companies have also signed this petition, right? Bertrand I think they have signed as companies now. It started mostly by Anthropic researchers with some OpenAI researcher and a tiny part from other companies. But it was mostly Anthropic internally led, at least potentially internally. Maybe it was controlled by Anthropic all along, I don’t know. But it started officially as Anthropic employee-led letter. Nuno What does this letter actually say? Is Anthropic and OpenAI, are they willing to slow down themselves? Or are they asking President Trump to go around the world and tell President Xi that he needs to slow down and ask his guys to slow down? What’s the play of this letter? Bertrand It’s crazy, but for me if you want to slow down yourself. Do whatever you want. Don’t force others. Don’t use the power of the government to control others. Of course, it’s easy to push others to slow down when you are yourself at the very top. You have most money, most resource. You know you are going to win any regulatory framework because that’s how it works with this type of framework. It’s purely self-interested. You are probably not thinking well about these topics. If you truly think it’s a good idea, from a personal perspective, you are well instrumentalized if you sign this sort of stuff, because at the end of the day, they would be the winners. I certainly, personally, don’t want a company dictate what is my future in AI as an individual, as a business person. I don’t want them to control me. I want competition. I don’t want them to unfairly control AI because they managed to do some regulatory capture. I feel that’s exactly their game plan. These guys believe in their stuff, and they want the regulator to end up being the one deciding for us. Sorry, we go back again on the opinion piece, but it’s tough not to share an opinion on this topic because it’s, from my perspective, very scary. Nuno I think this is a push to further regulation, not less. All these letters and alliances, this is definitely a push for more regulation. In that environment, just to be very honest with you, we’ll talk about the investor impact in just a bit, et cetera. But in that environment, again, China has a huge advantage. In that environment, if it’s all captured in regulation capture so soon in this battle where OpenAI and Anthropic have an advantage in the US, et cetera, I’m like, what happens to all the other frontier labs and all the other players that are coming around? Bertrand What’s crazy is to even think that, yeah, maybe you can regulate capture in the US. But then how do you do that to Europe? How do you do that to China? Europe probably will always welcome regulatory capture because they love regulations. But China is going to build to their advantage to the max. They are not crazy. They are smart on that perspective, they won’t accept this type of, quite frankly, dimwit argument, or you can call it regulatory capture. We’ll see. But for me, this makes no sense from a global competition perspective. This can make some sense from capturing the revenue in the US market. But then that means you are going to destroy the US AI environment compared to China. That is not acceptable. That also means that you are going to destroy our freedom as individuals, as business owners to develop and live in a business world that ultimately is controlled by one or two business companies that didn’t win the marketplace through their own business success, but won it through regulations. That for me is really not acceptable. Interlude — The Low-Background Books Nuno Now, maybe for an interlude, and we have to cue in the music, imagine like Severance music, like hallway or a bit of a palate cleanser from all the policy stuff that we’ve been talking about, all this policy heaviness. Let’s move to another kind of heaviness, one of your favorite topics, which you, Bertrand, discovered, I had no clue this was going on, around books and around Anthropic. Bertrand It’s so horrible. From a company that keeps presenting themselves as the adults in the room, the careful ones, the ones that know better than you about what to do in this complex AI and dangerous world. What we discover is that actually all along, they were buying and destroying books. They will buy books, scan them, destroy them, all of them. They will do that with any books, including rare books. Of course, this was not supposed to come to the public’s attention. This was one of these top secret projects, but obviously it came out. Yes, they were scanning books, millions of them, including rare books, and they didn’t care about destroying them at the end of the process. Because from a regulatory perspective, if you destroy the books, it’s not considered a copyright infringement, apparently. This is coming on the back of some judgment a few years ago that were showing that it’s okay for you as a corporate to scan and use the result if you don’t keep a copy of the book. It’s one of these crazy regulations happening based on a single judgment that push you to do. For me, it’s like, you know this book from decades ago, Fahrenheit 471? We’re talking about book burning. It’s book destroying, crunching. It’s so shocking. Nuno There are two things, right? First, the legal strategy, which is what you’re saying, because by purchasing a physical copy and converting it into one private digital copy and discarding the original, Anthropic pursued this cleaner legal argument for fair use copyright compliance. As you said, there was a federal judgment at some point on this. The other reason is actually operational. If you disassemble the book, and you feed loose pages, it’s much faster to scan books. You are destroying the book effectively anyway operationally. I think to your point, probably this came from a legal standpoint, not just the operational one. But even from an operational standpoint, it does make sense that they would have disassembled the book. Bertrand But some people have shown you can go very fast without destroying the book. It’s really not so critical. Two, you could make an exception if the book is rare. For that 1% of book that is rare, I’m not going to have this approach. I’m going to have another approach. But for that, you will have to care about books and not just care about building AI. Nuno This is the episode, as you guys have heard by now, that we’re trying to spit stuff at Anthropic. Bertrand To go back this is the same company saying, “Hey, guys, it’s bad to distillate my work. I’m the one scanning book at scale without asking author permission, without asking publisher permission, to be clear.” Nuno But just to be clear, Bertrand, we’re pissed off at everyone. We’re pissed off at Anthropic, we’re pissed of at OpenAI as well, right? We’re just pissed off in general at this moment. Bertrand At this stage for me, the more clear-cut company that is in the wrong is, from my perspective, at least, is Anthropic. OpenAI might be a fast follower, but I will say so far, they tried to be a bit more. Nuno But at this pace, Bertrand, who knows? Maybe next week we’ll be more pissed off at OpenAI. Something will come out. This episode is a mix of tragicomedy, like a Greek tragedy with some comedy in the middle or the other way around. It’s a slapstick thing that will end up in tragedy. I’m not sure. The Investor Reckoning Anyway, maybe switching to our final act, which is the investor perspective. What does this mean for investors like ourselves? There’s a lot of things going on. There’s the debate around the IPOs of Anthropic and OpenAI, which now, with all this uncertainty, might be under significant weight. There’s a lot of other discussions that we browsed through that there’s potential IPOs going forward on companies like the Moonshot AI company actually IPO-ing in the next 6 months as well. It’s very unclear what the IPO landscape looks like. Bertrand There’s been a lot of Chinese IPOs, actually, when you look at what’s happened in the past few months. Nuno Anthropic, OpenAI as potential IPOs, there’s all this question marks now. When will that happen? How will it factor in? All that’s happening around regulation as regulation is moving at the speed of light, which is for once something that’s very different than what we’ve seen before. There’s obviously SpaceX AI, which is already taking into account that price. It’s already a public company in there, and it’s under SpaceX, which is now a public company. Obviously, that’s already being factored in some ways. Bertrand Yeah. SpaceX AI has been very smart to acquire Cursor. It was a very smart move because Cursor is one of the leading companies in terms of automated code source development with AI. They had great models on their own. They’re bringing development data to SpaceX AI Grok. I think it was a great move. Nuno We have now people like Google delaying Gemini 3.5 Pro in terms of launch window. There’s stuff actually happening in the market where things are taking their own path. There’s uncertainty commercially, there’s uncertainty at regulation level. You have new players that have come out of nowhere that are making all these waves like Moonshot. We have all these… We had calculated probably a month and a half, 2 months ago, there had been 67 new frontier labs funded. All of these, we haven’t seen any much coming out of them. When some of this stuff starts coming out, will that also create disruptions in this market? Who knows? Bertrand Look at Thinking Machines, for instance. Thinking Machines led by the previous CTO of OpenAI, they released some pretty interesting open source models, actually. Very good quality for a first launch. Now it looks funny to say, but nearly on par with the top Chinese open source models. Nuno We have several investments in the space. humans& has made some recent announcements, which is quite interesting as well. We’ll see what actually happens in the market, but even more disruption probably will come in actual products in a form of product and commercial, on top of all the geopolitical mess that we discussed through the entire episode. If you’re an investor, how the hell do you underwrite an investment right now in early stage, mid-stage, late stage, et cetera? I think my answer is very carefully is how you underwrite it. Bertrand On your advice of being very careful to underwrite it, let’s not forget what happened to our boy wonder, Leopold Aschenbrenner of Situational Awareness. I guess he didn’t listen to you in terms of being careful because part of the instability in the stock market was actually coming from his hedge fund. These guys were leveraged 3, 4x going after the hottest of the hottest AI stocks, and margin calls, and all their public investment is gone just to answer their margin calls. I think it’s clear that the AI bet is… Personally, I’m very excited, and I think it’s the future, and you need to spend time and think about and invest in it. At the same time, it’s a bet that is not an easy one to follow. We go from GPUs to memories to equipments to power generation. All of this is not transitioning in an easy, organized manner. It would be boom and bust going there. He’s probably one of the first big-scale fatalities. The other big-scale fatality was the stock market in Korea, plunging 40% in a month. Definitely, all of that we discussed about was, on the background, you had the stock market going up and down pretty crazily the past few weeks. Nuno Everyone’s being affected. Everyone, you have your 401(k), you have your pension fund dependent on these equity stocks. Everyone’s seeing the effects of this volatility right now very aggressively. We do wish Leopold… Hopefully he’s on honeymoon right now because he got married, I think, this weekend. Hopefully there will be… Bertrand To none less than an Anthropic Chief of Staff. Nuno His wife is the Chief of Staff of Dario, is that it? Bertrand To Dario, yes, as far as I unders

Carlos talks with Bob "The Ninja" Porras about how years inside Delta Force and "The Unit" shaped the way he reads people, spaces, and threats before anyone else even notices something's wrong. The conversation breaks down how elite operators train their attention, spot pre-attack indicators, and stay ahead of danger instead of reacting to it. It's a practical look at how battle-tested awareness skills translate directly to everyday personal safety.

Today Liv brings the boys her best attempt at a “good news” episode without straying too far from our usual content. For our little cheat day, Liv has prepared a fun hour of discussing the investing failures of one Leopold Aschenbrenner whose AI centered investment firm, Situational Awareness, recently set a new record for the largest trade loss in history. 35 billion dollars. In Liv's words, “this isn't necessarily a good news episode but it is very funny”. Subscribe for $5 a month to get all the premium episodes: www.patreon.com/qaa Produced by Liv Agar & Corey Klotz. Theme by Nick Sena. Additional music by Pontus Berghe. Theme Vocals by THEY/LIVE (instagram.com/theyylivve / sptfy.com/QrDm). Cover Art by Pedro Correa: (pedrocorrea.com) qaapodcast.com QAA was known as the QAnon Anonymous podcast.

We are living in a technological century. Everything we do will have some form oftechnology supporting our collective functions. While voice communications havedominated public safety operations for a hundred years, there is an opportunity todayto incorporate the visual element into how we operate.The podcast guest is Alex Joyce the company's Head of Tech Safety for LiveU. Heleads a team focused on supporting public safety agencies & broadcasters withrealtime video solutions leveraging cellular & satellite technologies across software andhardware environments.With over 30 years of experience in telecommunications, as well as FAA 107 and FCCAdvanced Radio licenses and a passion for supporting 1st responders, Alex is excitedto use this background to support federal, state, and local agencies to help demystify thetechnologies related to TAK, search and rescue drone programs, and communityoutreach via realtime video streaming and interagency collaboration tools that cansave lives.Please visit our sponsors!L3Harris Technologies' BeOn PPT App. Learn more about this amazing product here: www.l3harris.com Visit The Readiness Lab and learn about our Next Level Emergency Management training! https://www.thereadinesslab.com/Impulse: Bleeding Control Kits by professionals for professionals: www.dobermanemg.com/impulseDoberman Emergency Management Group provides subject matter experts in planning and training: www.dobermanemg.comCheck out how you can use digital twins in your training, exercising, and planning using RSET https://rset.com/ For sponsorship requests, check out our Sponsorship Portfolio here or email us at contact@thereadinesslab.com

P.M. Edition for Aug. 25. National affairs reporter Kris Maher discusses how the AI surveillance company has become the target of bipartisan anger. And Canada retaliates against U.S. tariffs with some of its own. Ottawa-based reporter Paul Vieira says the tariffs are strategic—they target products from states in play in the U.S. midterm elections. Plus, Dolly Parton has died. The songwriter behind hits including “Jolene,” “9 to 5” and “I Will Always Love You” was 80 years old. Pierre Bienaimé hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Plus: the Securities and Exchange Commission is investigating AI-focused hedge fund Situational Awareness. And an oil tanker in the Strait of Hormuz was struck overnight. Pierre Bienaimé hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Bobby Doss and Wally Mulhearn open the episode by celebrating the milestone of reaching 201 shows and reflecting on listener engagement from Oshkosh and beyond. The main topic focuses on the first five minutes of flight, the phase where workload spikes as pilots manage engine start, avionics, passengers, and clearances before taxi. They stress the importance of sterile cockpit discipline once the engine is running to prevent distractions that can lead to incidents like runway excursions. Wally shares his approach to control checks before engine start and using checklists as verification tools rather than to-do lists. The conversation covers common checkride mistakes such as incomplete taxi readbacks that omit the assigned runway and failing to anticipate instructions by listening to other traffic. During the taxi to run-up phase, they highlight situational awareness in congested areas like the delta ramp at Hooks Airport and the value of positioning to allow space for others. Bobby outlines his three-part mental model of setup, decision point at run-up, and final go/no-go assessment while advocating for finding reasons not to fly rather than reasons to proceed. The takeoff decision includes the fifty-seventy rule for aborting if rotation speed is not achieved halfway down the runway and personal flows like lights, clocks, and fuel. In the initial climb they stress completing the after-takeoff checklist promptly to avoid configuration issues such as forgotten flap retraction. The episode closes with a listener challenge to develop and test a personal first-five-minutes flow along with a candid confession from Wally about once departing with a rudder gust lock still installed.

Julie Bates explains situational awareness for handlers at the line — how the walk from the holding blind, calm body language, timing, and clear connection with your dog influence performance in field trials and hunt tests. She offers practical tips on letting dogs settle, avoiding overdriving or excessive talking, practicing fundamentals, and maintaining teamwork so dogs perform reliably on game day.

MRKT Matrix - Friday, August 21st Dow jumps 500 points, but stocks post losing week (CNBC) Anthropic Expects to Match or Top SpaceX's Record IPO Size (Bloomberg) US refiners are facing a looming supply drop from their biggest foreign crude supplier at a time when they need the oil the most. (Bloomberg) Bitcoin on track for 23% weekly gain as investor optimism floods back  (CNBC) The "China shock 2.0" message from Trump officials (Axios) Ken Griffin says Citadel unwound more than 80% of risk tied to Situational Awareness portfolio (CNBC) --- Subscribe to our newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://riskreversal.substack.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ MRKT Matrix by RiskReversal Media is a daily AI powered podcast bringing you the top stories moving financial markets Story curation by RiskReversal, scripts by Perplexity Pro, voice by ElevenLabs

Oil Reserves taking a hit. Finally getting to the recent high profile earnings. Market Top Calls (again). ALL TIME HIGHS – Then some consolidation (then highs again). Situational Awareness Update. SpaceX Bounces… PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? PayPal.Donation.Button({ env:'production', hosted_button_id:'JJJHP2GDEJC7J', image: { src:'https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif', alt:'Donate with PayPal button', title:'PayPal - The safer, easier way to pay online!', } }).render('#donate-button'); Follow John S. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm-Up - Oil Reserves taking a hit - Getting to the recent high profile earnings - Market Top Calls (again) Markets - ALL TIME HIGHS - Then some consolidation - Lets round out earnings - Situational Awareness Update - SpaceX Bounces... Etsy - Layoffs With Better Numbers - Etsy is cutting about 220 jobs, or 12% of its workforce. - Management said the cuts were not primarily about cost savings or AI. ----- CEO Kruti Patel Goyal stated the restructuring aims to simplify the organization, remove management layers, and speed up decision-making to better compete against massive rivals like Amazon, Temu, and TikTok Shop - Q2 revenue was about $668 million and core marketplace sales improved. - Etsy also authorized another $2 billion share buyback. - Comes after selling Depop to eBay for about $1.4 billion. Polysilicon - Tariffs Plus Price Floors - U.S. policy adds a 15% tariff and minimum import prices on polysilicon and solar products. - Goal is to protect domestic production from low-cost foreign competition. - U.S. share of global polysilicon capacity fell from about 50% in 2005 to under 2% in 2024. - First Solar and T1 Energy jumped on the announcement. ---- The same playbook - rinse and repeat Chipotle - Salmonella Returns - Minnesota officials linked a salmonella outbreak to jalapenos served at Chipotle. - Chipotle removed the affected pepper supply and switched growers. - Shares fell roughly 8%-10% as investors remembered the company's earlier food-safety problems. - This is on top of the lettuce situation with Sweetgreen- look at  STOCK CHART FOR SG Michael Burry - Calling a Major Top - Michael Burry says the market may be near a "major top." - Warned of the possibility of a 1987-style market drop. - He is short names including Nvidia, Palantir, Tesla and semiconductor stocks. - Main concern is stretched valuations and crowded trades unwinding quickly. - This may be the 100th top he has called since the GFC ---- NVIDIA TURNS GPUs INTO AN ASSET CLASS - Nvidia signed preliminary agreements with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to mobilize more than $500 billion for AI infrastructure. - The Wall Street firms would create dedicated pools of capital to finance Nvidia-based data centers and compute infrastructure at what Nvidia calls attractive rates for customers. - Jensen Huang: “This is really the first time that technology chips have become an investable asset class.” Nvidia says the compute assets now generate revenue and can increasingly be financed like infrastructure. - Nvidia could backstop as much as 25% of individual investments on a case-by-case basis - potentially up to about $125 billion if applied across the full program. STRATEGIC PETROLEUM RESERVE BREAKS 300 MILLION - The Strategic Petroleum Reserve fell by 6.1 million barrels to 298.7 million barrels for the week ended Aug. 7 - below 300 million for the first time since January 1983. - The SPR started 2026 around 415 million barrels, meaning more than 100 million barrels have already come out this year as releases were used to offset disruptions from the Iran conflict. - The reserve's authorized storage capacity is roughly 714 million barrels, leaving current inventories at about 42% of capacity. - Oil on the rise last week Earnings and such Toyota - Big Buyback, Better Outlook - Toyota raised its annual operating-profit forecast 13%, helped by the weaker yen. - Announced a share buyback worth up to $6.3 billion. - Quarterly operating profit still fell 9%, hurt by China weakness and higher Middle East-related costs. McDonald's - Value Problem - U.S. same-store sales rose just 0.8%, below expectations and well below last year's 2.5% growth. - Management blamed weak execution of value promotions and fewer digital deals. (and probably because everyone is taking weight loss drugs - see above) - Lower-income customer traffic remains a major pressure point. - McDonald's is bringing back more digital offers and loyalty promotions to drive traffic. Eli Lilly - Weight-Loss Machine - Lilly crushed Q2 expectations as Mounjaro and Zepbound drove most of the growth. - Mounjaro sales hit $9.94 billion; Zepbound brought in $4.93 billion. - Raised 2026 revenue guidance to $85-$87 billion. - Verzenio, its major breast-cancer drug, remains one of Lilly's biggest non-obesity products. - Lilly continues widening its lead over Novo Nordisk in the obesity-drug market. Disney - Parks Keep Printing Money - Quarterly adjusted EPS rose 28% to $2.06, beating the $1.86 estimate. - Parks and experiences revenue increased 10% to nearly $10 billion. - Global park attendance grew 4%. - Disney is selling its 50% stake in A+E Networks to Hearst for an estimated $1.2 billion. Oil - OPEC Adds Barrels, Maybe - OPEC+ agreed to raise September production targets by another 188,000 barrels per day. - The increase completes the rollback of a 1.65 million-barrel-per-day supply cut dating back to 2023. (In other words - planned so not a surprise) - Actual supply remains constrained because several producers are already pumping below quota. - Any normalization around the Strait of Hormuz could suddenly make OPEC+'s additional barrels much more important. Berkshire Hathaway - Greg Abel Starts Spending - Q2 operating earnings rose 16% to about $13 billion. - Berkshire bought $23.5 billion of stocks and sold just $3.7 billion - its first quarter as a net stock buyer in 14 quarters. - Bought back $4.5 billion of Berkshire shares, versus only $235 million in Q1. - Cash dropped from roughly $380 billion to $365 billion as Abel starts putting the massive cash pile to work. - Important shift: Buffett is still chairman, but this is one of the clearest signs yet of how Greg Abel may allocate capital differently as CEO. Situational Awareness - Nearly Blows Up, Investors Want Back In - The fund lost 67% in July after leveraged AI bets collapsed and forced a major stock sale to Citadel. - Despite the blowup, Situational Awareness was still up about 80% for 2026 because of huge earlier gains. - Bloomberg says Silicon Valley investors are already asking to put more money into the fund. - Situational Awareness is currently telling prospective investors it is not accepting new capital. - The fund has also continued making large private investments even after the near-collapse. --- Most recent was a $400B ---- There is some talk that Citadel made out like a bandit on the rescue Mercedes AMG - The Car Literally Brands You - Two Mercedes AMG owners filed a class-action lawsuit claiming the metal AMG logo embedded in the seat becomes dangerously hot in the sun. - One driver says he suffered first- and second-degree burns, with a dermatologist describing the injury as "AMG inscribed." - The lawsuit wants Mercedes to cover damages and remove the metal logos from affected vehicles. - Hard to beat this one: pay AMG money and get the logo branded into your back. Europe's Drought - History Starts Popping Out - Extreme drought and low river levels are exposing things that have been underwater or hidden for decades or centuries. - In Serbia, sunken German World War II warships have reappeared in the Danube. - In Britain, dry ground revealed outlines of medieval buildings; mammoth remains and ancient structures have also surfaced elsewhere. - Serious drought story, but visually one of the strangest side effects of the summer. Golden Toilet - $6 Million Flush - The 18-carat gold toilet was ripped out of Blenheim Palace in a five-minute raid and has never been recovered - but there is a conviction. - Prosecutors used phone data, forensic evidence and planning activity to link the gang to the theft. - One defendant had cased the palace beforehand and photographed entry points; another man had already pleaded guilty and admitted helping move the stolen gold. - Prosecutors believe the 98-kilo toilet was quickly cut up or melted down and sold as gold. - So the conviction was based on evidence of the robbery and disposal - not on recovering the actual toilet. Final Follow Up SpaceX - Space Junk Smashes Into the Moon - A dead SpaceX Falcon 9 rocket stage crashed into the moon at about 5,400 mph after drifting through space since January 2025. - The roughly 4-ton, school-bus-size object kicked up a lunar dust plume that astronomers detected from Chile. - The impact was accidental - solar activity and gravity gradually pushed the abandoned rocket stage onto a collision course. - NASA and SpaceX are now discussing ways to prevent future lunar crashes as more hardware heads toward the moon. - NEED Space garbage Trucks - something we have discussed on show for years (see next) Space Garbage Trucks - This Is Becoming a Business - Astroscale is building spacecraft designed to inspect, capture and remove dead satellites and other orbital debris. - Its ADRAS-J mission demonstrated close approach and inspection of a large piece of existing space junk - a key step before actually grabbing and removing debris. - ClearSpace is developing similar debris-removal spacecraft, including missions designed to rendezvous with and capture abandoned rocket hardware. - The business model is basically orbital towing: governments and satellite operators pay to remove dangerous junk or service aging spacecraft. - With tens of thousands of tracked objects already in orbit, "space sanitation" could become a real infrastructure business.   Love the Show? Then how about a Donation? PayPal.Donation.Button({ env: 'production', hosted_button_id: 'JJJHP2GDEJC7J', image: { src: 'https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif', alt: 'Donate with PayPal button', title: 'PayPal - The safer, easier way to pay online!' } }).render('#donate-button-2'); THE CLOSEST TO THE PIN for SpaceX (SPCX) Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt!   FED AND CRYPTO LIMERICKS   See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

Carl Quintanilla and Jim Cramer led off the show with tech as a market bright spot: Sandisk, Western Digital and Micron rallied after The Wall Street Journal reported Commerce Secretary Lutnick urged Apple not to buy Chinese memory chips. The anchors discussed Anthropic amid reports its revenue has skyrocketed as the AI startup prepares to go public. President Trump's comments on the Iran war also in the spotlight — from his warning to Oman to him urging Americans to accept higher gas prices. Also in focus: The beaten-down names Cramer believes you should buy now, Nvidia's $21 billion SpaceX stake, OpenAI's president on recent executive departures, Disney's CEO on the company's stock slump, Situational Awareness meltdown fallout.    Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Niels Kaastrup-Larsen is joined by Andrew Beer and Tom Wrobel to examine a remarkable period for systematic investing. They discuss how CTAs have navigated volatile moves across equities, commodities, currencies and rates while preserving strong gains, and why diversification has been central to that resilience. The conversation explores leverage, the renewed interest in managed accounts and portable alpha, alongside the growing distinction between trend and non-trend strategies. They also challenge the traditional framing of CTAs as crisis alpha, debate whether greater complexity actually improves returns, and examine the difficulties investors face when selecting managers and benchmarking an industry where yesterday's winners may not remain tomorrow's leaders.-----50 YEARS OF TREND FOLLOWING BOOK AND BEHIND-THE-SCENES VIDEO FOR ACCREDITED INVESTORS - CLICK HERE-----Follow Niels on Twitter, LinkedIn, YouTube or via the TTU website.IT's TRUE ? – most CIO's read 50+ books each year – get your FREE copy of the Ultimate Guide to the Best Investment Books ever written here.And you can get a free copy of my latest book “Ten Reasons to Add Trend Following to Your Portfolio” here.Learn more about the Trend Barometer here.Send your questions to info@toptradersunplugged.comAnd please share this episode with a like-minded friend and leave an honest Rating & Review on iTunes or Spotify so more people can discover the podcast.Follow Andrew on Twitter.Follow Tom on LinkedIn.Episode TimeStamps: 00:00 - Introduction and eclipse mania02:57 - Volatility, valuations and a changing market environment06:22 - Trend Barometer falls as opportunities narrow08:21 - How CTAs have navigated 202610:10 - An extraordinary year for systematic investing14:07 - Yen intervention and CTA resilience17:11 - Trend versus non-trend performance22:20 - August performance and the systematic landscape24:48 - Active commodity strategies versus traditional CTAs29:39 - Situational Awareness and the risks of leverage32:14 - Managed accounts, capital efficiency and risk control37:49 - Are systematic strategies becoming over-engineered?42:45 - The growing divide between trend and non-trend CTAs50:34 - Reframing trend following as all-weather alpha55:07 - Why the crisis alpha narrative can be misleading01:04:06 - The hidden challenges of CTA benchmarks01:12:12 - Manager selection and diversification across CTAs01:14:15 - Does non-trend really improve a CTA portfolio?Copyright © 2025 – CMC AG – All Rights Reserved----PLUS: Whenever you're ready... here are 3 ways I can help you in your investment Journey:1. eBooks that cover key topics that you need to know about In my eBooks, I put together some key discoveries and things I have learnt during the more than 3 decades I have worked in the Trend Following industry, which I hope you will find useful. Click Here2. Daily Trend Barometer and Market Score One of the things I'm really proud of, is the fact that I have managed to published the Trend Barometer and Market Score each day for more than a decade...as these tools are really good at describing the environment for trend following managers as well as giving insights into the general positioning of a trend following strategy! Click Here3. Other Resources that can help youAnd if you are hungry for more useful resources from the trend following world...check out some precious resources that I have found over the years to be really valuable. Click HerePrivacy PolicyDisclaimer

A 24-year-old investment prodigy built a staggering $45 billion portfolio—only to watch excessive leverage bring it crashing down. This week, the Iron Gate team breaks down the collapse of Situational Awareness, how margin can destroy an investor even when their stock picks are right, and why experience and risk management matter more than appearing brilliant. They also examine an exceptional earnings season, with revenue growth, profit margins, and earnings per share significantly exceeding recent averages. The team explores whether massive AI investments from Amazon, Google, and Microsoft are beginning to pay off through accelerating cloud growth and greater business efficiency. They also consider whether today's market is truly overvalued or whether strong corporate earnings justify current stock prices. Ultimately, this episode offers a powerful reminder that long-term success comes from discipline, patience, staying in the game, and not chasing quick wealth with “chocolate-covered hand grenades.” - Here's to wise investing.

Sam Rosenberg has spent his career protecting some of the most recognized people on the planet, heads of state, CEOs, and celebrities including Warren Buffett, Benjamin Netanyahu, and Tom Cruise. A former Marine Corps officer who moved into close protection in 1996, he's since shifted his focus to teaching ordinary people the same skills he used to guard public figures, through his company Live Ready and his bestselling book of the same name. He's trained tens of thousands of people to recognize threats before they become emergencies. This one is a genuine masterclass in personal safety, and Sam's philosophy anchors it: it's good to have a lifeguard, but you should know how to swim. He and Larry get into why violence is never actually random, how to read a parking lot, the acronym TIME that maps how attackers operate, the normalcy bias that keeps good people from trusting their gut, and persuasion predators, the charming, manipulative threats every dad with a daughter needs to understand. If you want to protect the people who matter most without living in fear, this episode delivers the tools.   Timeline Summary [1:02] – Protecting Netanyahu, the chess match, and embedding covert protection in a crowd [4:35] – Tom Cruise in Pittsburgh and why he was one of the best to work with [6:23] – How you even land a gig protecting someone at that level [8:12] – Protecting Terry Bradshaw at the NFL draft, and why it's all word of mouth [12:36] – The core philosophy: it's good to have a lifeguard, but you should know how to swim [14:51] – Sam's full bio, the Marine Corps, Live Ready, and the book [16:34] – Situational awareness starts with our wives in parking lots [20:04] – The myth of helplessness and the myth of randomness [21:44] – Why violence is a process as predictable as boiling water [22:38] – Attacks happen on arrival and departure, and every environment has a purpose [24:10] – Watching for the watchers, and the New York City looking up analogy [26:30] – The creepy guy vibe and why we hunt for evidence to dismiss it [27:42] – Social contracting, bias, and how it blinds us to real danger [30:13] – Normalcy bias: the brain's desire for everything to be normal [32:04] – Breaking down a real, sophisticated parking lot kidnapping on video [35:36] – The simple bow: trust your intuition even without all the evidence [37:12] – What that woman could have noticed, and the double-tap unlock habit [43:14] – The TIME acronym: target selection, intelligence, method of attack, escape [46:16] – Why street criminals run the same process as terrorists [49:17] – Can you avoid being targeted? You can influence it, not always prevent it [52:04] – Charlie Kirk, Butler, and why it has to be stopped in advance [53:27] – Recognizing the interview means you've already been selected [56:16] – Hard target versus soft target, and why gimmicks don't work [57:29] – The undercover story: why street-smart observers saw through his disguise [1:02:47] – Willingness and ability are all it takes to be a hard target [1:04:31] – What bad guys are truly afraid of: failure [1:08:55] – Persuasion predators, masters of charm and disguise [1:10:31] – Reframing charm: ask why is this person trying to charm me [1:11:56] – No is a complete sentence, and the veils of denial [1:13:54] – Sociopaths, the pity play, and the puppy law used on children   5 Key Takeaways Violence Is a Process, Not Random — Attacks follow an observable, predictable sequence. Learning to spot the pattern, especially during arrival and departure moments, is what lets you get ahead of danger instead of reacting to it. Watch for the Watchers — Every environment has a purpose. Scan left to right for anomalies, people not using the space for its intended purpose, and notice who's watching who's coming and going. That awareness alone makes you a harder target. Trust Your Radar Over Normalcy Bias — Good people talk themselves out of intuitive warnings because they can't find hard evidence or don't want to seem judgmental. When something feels off, that unease is data. Default to it and remove yourself from the situation. Recognize the Interview — When a stranger approaches you in an anomalous moment, that's an interview, and it means you've already been selected as a target. How you manage that interaction, with the right body language and enough force, often determines whether an attack proceeds. Reframe Charm and Hold the Line on No — Teach daughters to ask why is this person trying to charm me rather than being flattered. No is a complete sentence, and anyone who pushes past it is signaling they care only about what they want. A pity play after being caught in lies is a massive red flag.   Links & Resources Episode page and all links: https://thedadedge.com/1517 Sam Rosenberg's company, LiveReady: https://www.liveready.co/ Live Ready by Sam Rosenberg (the book): https://www.liveready.co/book LiveReady on YouTube (situational awareness and attack breakdowns): https://www.youtube.com/@LiveReadyCo LiveReady on Instagram: https://www.instagram.com/livereadyco LiveReady on Facebook: https://www.facebook.com/LiveReadyCo LiveReady on LinkedIn: https://www.linkedin.com/in/LiveReadyCo/ LiveReady personal training: https://www.liveready.co/training Dad Edge Day with the Arizona Cardinals (November 15, Cardinals vs Rams, State Farm Stadium): https://thedadedge.com/nfl Roommates to soulmates thedadedge.com/soulmates   Enjoyed This Episode? If Sam's breakdown of that parking lot attack made you look at your own routine differently, put one habit to work this week. Get your head up and off your phone during those arrival and departure moments, and have the charm and no conversation with your daughter. If the show keeps delivering, follow, rate, and leave a review so more fathers can find these conversations.

The Wild Rise and Fall of Leopold AschenbrennerLISTEN AD-FREE!!

Last week, 24-year-old Leopold Aschenbrenner — former FTX staffer, ex-OpenAI researcher, and author of the viral 165-page essay "Situational Awareness" — managed to lose roughly two-thirds of his $45 billion hedge fund in a matter of weeks. The margin calls arrived during his wedding weekend.In this video I break down how a trader with no professional experience raised billions from Silicon Valley, why his AI "hedge" wasn't a hedge at all, and how leverage plus a concentrated bet on artificial intelligence stocks turned a great-looking expected return into a catastrophic outcome. Along the way we look at the cultural gap between Silicon Valley and Wall Street, why Ken Griffin's Citadel ended up buying the collapsing portfolio in an overnight fire sale, and the maths of volatility drag — the reason a high expected return can still drag an investor's typical outcome straight into the ground.It's a story about leverage, risk management, expected versus median returns, and what happens when you go "full Kelly." Featuring reporting from the Wall Street Journal, The New York Times, Bloomberg, and the Financial Times, plus Victor Haghani's lessons from The Missing Billionaires.

A former OpenAI researcher correctly saw where the AI boom was headed, built a hedge fund around that prediction, and watched it grow to roughly $45 billion in assets.Then July happened.Leopold Aschenbrenner's Situational Awareness fund lost 67% of its portfolio, wiping out roughly $35 billion. But the interesting part of this story is that his original bet on AI may not have been wrong.So how do you lose $35 billion while being right about the bigger trend?In this episode of First Sip, I break down what happened, what a hedge fund actually is, how leverage can multiply both your wins and losses, and how a margin call can force you to sell an investment even when you still believe in it.More importantly, we get into the lesson that applies far beyond Wall Street: being right doesn't matter if you don't have enough runway to survive being early.If you're building a business, investing, using debt, or betting on an idea you believe in, this is a story worth understanding.Stay tuned, stay curious, and as always, enjoy your first sip.Click here to watch the full episode on YouTubeWhat did you think about this episode?--------------------------------Get the First Sip Field Notes: A weekly newsletter for curious people building better businesses, careers, and lives. You'll also get a free tool to help you decide if that idea you're sitting on is actually worth building.https://firstsipfieldnotes.beehiiv.com/subscribeCONNECT WITH DEKIMBE: YouTubeInstagram  Facebook LinkedInFOLLOW THE PODCAST:InstagramApple PodcastsSpotifyFor podcast sponsorship & advertising opportunities please contact: firstsippod@gmail.com

The July meltdown finally has more of an explanation. In this episode, we break down how extreme leverage, South Korea's margin crackdown, and the collapse of highly leveraged positions at the Situational Awareness hedge fund helped create a wave of forced selling across some of the market's hottest AI stocks. We explain margin calls, why leverage can turn a winning portfolio into a disaster almost overnight, and how trouble halfway around the world can quickly spill into U.S. markets.We also look at the market's sharp August rebound, what weaker jobs data could mean for the Federal Reserve, and Palantir's huge post-earnings move. From PLTR's accelerating commercial growth to the sudden rotation back into software and AI names, we discuss what investors should be watching next—and why the biggest lesson from July may be that you can be right about an investment and still get wiped out if you use too much leverage.*This podcast contains general information that may not be suitable for everyone. The information contained herein should not be construed as personalized investment advice. There is no guarantee that the views and opinions expressed in this podcast will come to pass. Investing in the stock market involves gains and losses and may not be suitable for all investors. Information presented herein is subject to change without notice and should not be considered as a solicitation to buy or sell any security. Rydar Equities, Inc. does not offer legal or tax advice. Please consult the appropriate professional regarding your individual circumstances.  Past performance is no guarantee of future results.

The AI trade might have found its canary in the coal mine. Leopold Aschenbrenner—a 25-year-old former OpenAI researcher built Situational Awareness into one of the hottest funds on Wall Street by betting long on the construction and infrastructure side of AI (Micron, CoreWeave) and short on the chips and software everyone else was chasing (Nvidia, Broadcom, Oracle). Then July happened, prime brokers made margin calls, and his entire public stock book got liquidated overnight in a single block trade. This episode uses that blowup as the lens for a much bigger story: how a three-quarters-of-a-trillion-dollar hyperscaler spending pledge is propping up U.S. GDP growth, why OpenAI just quietly cut prices as “tokenmaxxing” dies and Chinese labs undercut on cost, why Mark Zuckerberg picked a fight with OpenAI and Anthropic, how overleveraged Oracle has become, how the most profitable companies in the world are posting negative free cash flow, why hyperscaler bonds are going undersubscribed, and why the length of this year’s tech bond issuance is starting to crowd out the rest of the corporate debt market. It closes with the 2008 parallel: mortgage-backed securities stacked into CDOs stacked into synthetic swaps, and how today’s version runs through corporate bonds, CLOs, hedge fund leverage, and private credit—with Treasuries as the eventual exit ramp when the unwind accelerates. Resources Analysis Atlas: Hyperscaler AI Capex 2026: The $710 Billion Year Inside the Four Spenders J.P. Morgan Asset Management: How AI demand and capex shape investing in tech stocks New York Times: U.S. Economy Slows as Inflation Bites U.S. Bureau of Economic Analysis (BEA): GDP (Advance Estimate), 2nd Quarter 2026 CNBC: OpenAI cuts prices for two of its GPT-5.6 AI models as companies grow sensitive to costs Business Insider: The All-You-Can-Eat AI Era Is Over. It’s Time to Count Calories CNBC: Chinese AI models are gaining ground with U.S. companies as OpenAI, Anthropic costs surge The New York Times: Even China’s A.I. Powerhouses Can’t Figure Out How to Profit Off A.I. CNBC: Meta’s flurry of AI initiatives this month hasn’t helped lift the stock. What will? The Hill: Zuckerberg knocks AI development centralization, control Buttondown: D.A.D.: Zuckerberg Blasts Anthropic and OpenAI for “Centralizing” AI Power Reuters: AI investment boom puts Big Tech’s free cash flow under pressure CNBC: Bets against SpaceX grow to 32% of float as Elon Musk warns short sellers won’t survive Yahoo! Finance: NVIDIA’s rising CDS the talk of Wall Street amid circular financing fears Bloomberg: Big Tech Debt Flood Is Taking Over Risk In Market: Credit Weekly CNBC: Fed meeting recap: Warsh says Fed won’t hesitate to stop inflation, but bond market has doubts CNN: AI investor Leopold Aschenbrenner forced to unwind all public stock positions after steep losses, sources say Yahoo! Finance: Hyperscalers Hit $700 Billion in 2026 AI Spending Plans - 24/7 Wall St. Global Finance Magazine: AI’s Financial Circle Game Reuters: Hyperscaler debt binge pushes yields up as investor demand cools UNFTR Resources Video: Situational Awareness: How a 25-Year-Old's Hedge Fund Exposed the Entire AI Bubble. Essay: The Great Unwind. -- If you like #UNFTR, please leave us a rating and review on Apple Podcasts and Spotify: unftr.com/rate and follow us on Facebook, Bluesky, and Instagram at @UNFTRpod. Visit us online at unftr.com. Become a member at unftr.com/memberships. Buy yourself some Unf*cking Coffee at shop.unftr.com. Visit our bookshop.org page at bookshop.org/shop/UNFTRpod to find the full UNFTR book list, and find book recommendations from our Unf*ckers at bookshop.org/lists/unf-cker-book-recommendations. Access the UNFTR Musicless feed by following the instructions at unftr.com/accessibility.Support the show: https://www.unftr.com/membershipsSee omnystudio.com/listener for privacy information.

Carl Quintanilla and Scott Wapner discussed a July jobs report surprise: Non-farm payrolls fell unexpectedly by 23,000. J.P. Morgan Asset Management's David Kelly and Trivariate Research's Adam Parker offered their perspectives on the markets. Hear what President Trump told Punchbowl News about Fed Chairman Warsh and rate moves ahead of the midterm elections. Carl and Scott delved into Palantir and other tech stocks that have had a red-hot week. The anchors also explored a slew of high-flying earnings winners — including one stock soaring 60%. Also in focus: SpaceX extends its post-lock-up rebound; OpenAI set to launch a new product; What top bank executives told CNBC about the meltdown of hedge fund Situational Awareness.   Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week, we discuss the Situational Awareness meltdown, Airtable getting sold, and review the Java documentary. Plus, what you should actually buy at IKEA. Watch the YouTube Live Recording of Episode 584 Runner-up Titles Duffle bag of leftovers 5Are you dead in this scenario? Bury me with my IKEA bags Don't automate the world, nobody really wants that AttentionIsAllYouNeed.blog Take some money off the table No more great ideas Rundown IKEA FRAKTA Leopold Aschenbrenner's $45B Fund Implodes AI investor Leopold Aschenbrenner forced to unwind all public stock positions after steep losses, sources say His Wedding Guests Were Arriving—Just as His $45 Billion Fund Was Falling Apart Bending Spoons Buys Airtable for $1.28B Bending Spoons to buy Airtable for $1.28B sell on story, or sell on revenue The Java Story | The Official Documentary Relevant to your Interests Who's Writing Open Source Code? Satyress Robotics GitHub - mgwalkerjr95/texas-grocery-mcp: MCP server for HEB grocery shopping BMW Spider-Man in-car advertising An announcement from Superlogical An interactive visualization that follows a single HTTP request through its entire ~200ms life Supercharge your Claude, Cursor, and Codex. | Unstructured Linux Foundation Launches the Tokenomics Foundation valock July 2026 Recap tl;dv (Too Lazy; Didn't Validate): 181,874 Meetings Left Wide Open npm Worm Poisons keyv, cacheable and 400+ Other Packages Across Twelve Organisations Using AI for Product Management - The Tanzu Platform product management experience Is the future of data centers portable? Runware builds a pod to find out Google's AI reshuffle: Chief scientist Jeff Dean exits and Demis Hassabis steps down as DeepMind CEO Investigating three real-world incidents in our cybersecurity evaluations Boris Cherny: We Cut 80% of Claude Code's Prompt Microsoft's stock rockets more than 15% for largest single-day jump in history Amazon revenue soars as AI investments pay off Meta's stock drops on disappointing guidance, dwindling free cash flow Clouded Judgement 7.31.26 - AWS CapEx ROI Sponsors Signadot: making sure AI-written code actually works. Conferences WeAreDevelopers NA, Sept 23-25, 2026, Discount Code: DEVPOD50 25 Free Tickets AI Connect, Aug 22nd, 2026 - Riga, Latvia, Coté speaking. DevOpsDays Graz, Sept 4-5, 2026 Cloud Foundry Summit, Sept. 21st to 22nd, Heidelberg, Coté speaking. DevOpsDays Rockies, Sept. 22 – 23, 2026, Discount Code: 26DODSWEDEFTALK DevOpsDays Dallas, Sept 28-29, 2026 DevOpsDays Vilnius, Sep 30 - Oct 1, 2006 DevOpsDays Istanbul, Oct 24th, 2026, Coté keynoting. VMware User Group, Orlando, Oct 20-22, 2026 Cloud Native Denmark, Nov 19th, 2026, Copenhagen, Coté keynoting. SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Sponsor more podcasts with Failover Media Recommendations Brandon: Brooks GTS 25 Matt: NearbyWiki Reading Maps Coté: Descript Underlord

This week we dissect ColdCard's ~$100M RNG exploit that Claude Code cracked in 8 minutes, debate whether AI just killed open-source security and Bitcoin maximalism, tear apart Ethereum's EIP-8361 staking-yield taper, and unpack Leopold Aschenbrenner's 67% Situational Awareness blowup and CLARITY Act's ethics fight. Welcome to The Chopping Block – where crypto insiders Haseeb Qureshi, Tom Schmidt, Tarun Chitra, and Robert Leshner chop it up about the latest in crypto. No guest this week, just the four of them working through a week where AI quietly rewrote the economics of both security and human psychology, and crypto happened to be standing in the blast radius. This episode: ColdCard, NVK's Bitcoin-only hardware wallet, got drained of nearly $100M thanks to a random-number-generation bug that a one-word commit buried five years ago, and Claude Code sniffed it out in 8 minutes (an open model with no internet found it in 20, for about two bucks). The crew debates whether AI just killed open-source security, whether Nic Carter is right that this is 'the death of Bitcoin maximalism,' and why Tarun thinks maxi devs are 'the RFK of security practices.' Then they take a blowtorch to Ethereum's EIP-8361 staking-yield taper (Tarun: 'the proposal reads like shit'), unpack Leopold Aschenbrenner's 67% Situational Awareness blowup while 4x levered, and wade into the CLARITY Act's ethics fight where a single amendment is the whole ballgame. Listen to the episode on Apple Podcasts, Spotify, Pods, Fountain, Podcast Addict, Pocket Casts, Amazon Music, or on your favorite podcast platform. Show highlights

Jill and Mark discuss the spectacular collapse of the Situational Awareness hedge fund and what it reveals about today's AI-fueled investing boom.They help a caller fighting back tears figure out how to balance three competing priorities: saving for retirement, paying for her children's college, and preparing to care for her mother following the diagnosis of a degenerative illness.Plus: a reaction to billionaire Jeremy Grantham's outrageous advice that investors should ditch U.S. stocks altogether. Have a money question? Email us ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Subscribe to the Money Moves YouTube channel HERE.

Special Guest: Nikesh Arora, CEO @ Palo Alto Networks.  AGENDA: 04:50 Airtable Sold to Bending Spoons for $1.285B  17:00 Leo Aschenbrenner's Situational Awareness Blows Up as Citadel Buys His $16BN Book 22:30 Anthropic's AI Models Breach Three Companies as Cyber Threat Accelerates 33:35 Moonshot AI Raises $3.5B at $35B as Chinese Models Crush AI Prices 38:05 Valar Atomics Triples to $6B as Sequoia Bets on Nuclear Power for AI 42:50 OpenAI and Anthropic Could Trigger a Massive Public-Market Dislocation 52:55 Big Tech and Palantir Earnings Ignite the Next Phase of the AI Gold Rush 1:04:30 Procore Buys DroneDeploy for $900M in a High-Stakes 12x Revenue Bet 1:10:55 Scale AI Hits $1.5B ARR After the Meta Deal Left It for Dead  

On today's show Ben and Andrew begin with Microsoft, Meta and Google in the wake of their latest earnings reports. First: Microsoft's push to be the middle layer for enterprise AI, threats to the company's competitive position in the long run, and the subtext of the open weights open letter frenzy two weeks ago. Then: Parsing Google and Meta strategies as Google hedges its frontier bets, while Meta continues its frontier spending and announces questionable plans for an enterprise business. At the end: The future of the lending environment for Meta and the other hyperscalers, a bubble check-in, a rundown of what happened between Citadel and the Situational Awareness, close encounters with Ben's vibe coded app, and an emailer offers a compelling theory on the push for Permanent Daylight Savings Time.

On episode 476, Michael Batnick and Ben Carlson discuss: a crazy month in the stock market, Situational Awareness, leverage always gets you, the semiconductor crash, 60/40 will never die, the behavior gap lives, One Wish Willow for the economy, a theory about the Fed, the economy is still booming, apathy for Bitcoin, the biggest movie weekend ever and much more. This episode is sponsored by YCharts. To get your copy of Top 10 Visuals, and receive 20% off your first YCharts Professional subscription through Animal Spirits. Visit https://go.ycharts.com/animal-spirits (Offer valid for new customers only.) Sign up for The Compound newsletter and never miss out: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠thecompoundnews.com/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Us On Social Media: Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠twitter.com/thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/the-compound-media/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Find complete show notes on our blogs: Ben Carlson's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠A Wealth of Common Sense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Michael Batnick's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Irrelevant Investor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Feel free to shoot us an email at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠animalspirits@thecompoundnews.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ with any feedback, questions, recommendations, or ideas for future topics of conversation.   Investing involves the risk of loss. This podcast is for informational purposes only and should not be or regarded as personalized investment advice or relied upon for investment decisions. Michael Batnick and Ben Carlson are employees of Ritholtz Wealth Management and may maintain positions in the securities discussed in this video. All opinions expressed by them are solely their own opinion and do not reflect the opinion of Ritholtz Wealth Management. The Compound Media, Incorporated, an affiliate of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ritholtz Wealth Management⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, receives payment from various entities for advertisements in affiliated podcasts, blogs and emails. Inclusion of such advertisements does not constitute or imply endorsement, sponsorship or recommendation thereof, or any affiliation therewith, by the Content Creator or by Ritholtz Wealth Management or any of its employees. For additional advertisement disclaimers see here ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/advertising-disclaimers⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Investments in securities involve the risk of loss. Any mention of a particular security and related performance data is not a recommendation to buy or sell that security. The information provided on this website (including any information that may be accessed through this website) is not directed at any investor or category of investors and is provided solely as general information. Obviously nothing on this channel should be considered as personalized financial advice or a solicitation to buy or sell any securities. See our disclosures here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/podcast-youtube-disclosures/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

This WTT, The Anatomy of a Blow-Up, brings Situational Awareness to the underlying causes of hedge fund disasters.   Read Ted's blog here.   Editing and post-production work for this episode was provided by The Podcast Consultant (⁠https://thepodcastconsultant.com⁠)

In this edition of Study Break, we discuss the questionable decisions behind the scenes of the Possession remake, the historical accuracy cottage industry reactivated by the release of The Odyssey, the latest in infidelity surveillance via Jay Guapo, and new releases from Adela, Tyla, and KATSEYE. We also highlight a recent cornucopia of Euroweird excellence from the Depardieu family's blissful film festival outing to the fabulous brainrot opera debut of Beata Mona-Lisa, Greta Thunberg's perplexingly buxom sister— plus we react to fashion announcements including Marine Serre's bankruptcy and the upcoming John Galliano–themed Met Gala.Links: Margaret Qualley and Callum Turner on the set of the Possession remake in New JerseyJulie Depardieu and Philippe Katerine pose with their 2 sons Billy and Alfred at the Monte Carlo Television Festival (Alexi's viral QRT)Billy Blanchard at Jean-Paul Gaultier F/W 2026 Couture via Lyas“EXCLUSIVE: Marine Serre Seeks Investor Amid Financial Restructuring” in WWDThe Met Announces the Spring 2027 Costume Institute Exhibition, John Galliano: Horizons“John Galliano Returns to Fashion Via a Creative Partnership with Zara” in Vogue“An Uncomplicated Man” (review of Christopher Nolan's The Odyssey) by Emily Wilson in The London Review of BooksMillie Bobby Brown responds to bad wig accusations on BBC Radio 1@chthonicthorn on TikTok (Hellenistic practicioner?) “Greta Thunberg's Sister Beata Mona-Lisa Does the Splits” by Billy Parker in InterviewBeata Mona-Lisa on InstagramPianist Yuja WangNymphet Alumni Ep. 114: Grisch“The Folk Singer Linda Perhacs Is Found and Is Safe, Authorities Confirm” in The New York TimesTyla - “THAT GIRL” (Official Music Video)Nymphet Alumni Ep. 147: Cherry Emoji Dark FeminineTyla in custom Phoebe Pendergast polka dot hair clip at Disney with Kai Cenat“Valley of the Marc Jacobs Dolls” by Carwyn McIntyre in ToBe“The Surreal, Sublime Worlds of Szilveszter Makó” by Lauren Jackson in The New York TimesAdam Green's Aladdin - Full Movie (Official) on YouTubeKATSEYE (캣츠아이) - “Animal” (Official Music Video)KATSEYE EP 3 ‘WILD' (Wild heart ver.) teaser images on InstagramADÉLA - “Ain't In LA” (Official Music Video)Gabbriette in custom Matières Fécales bridalAndrea Mauri @babedrea33 on Instagram“Married elite NYC lawyer, 45, is caught red-handed with underling, 29, in passionate Central Park rendezvous” in The Daily Mail“How Leopold Aschenbrenner, the ‘golden child' of the AI trade, was laid low” in The Financial Times This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.nymphetalumni.com/subscribe

Tickets for our live show in New York are on sale now! Get yours here.  Leopold Aschenbrenner, age 24, was hailed as the ‘Nostradamus of AI.' With that reputation, the wunderkind built a multi-billion dollar hedge fund called Situational Awareness, taking on an enormous amount of debt. WSJ's Gregory Zuckerman explains how the fund crashed while Aschebrenner was preparing for his wedding. Ryan Knutson hosts. Further Listening: - Republican Megadonor Ken Griffin on Trump's Economy - Is the AI Boom… a Bubble? Sign up for WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

In Episode 347, Chris goes solo and pulls apart one of the wildest Wall Street stories of the year: the near-collapse of Situational Awareness, the AI-focused hedge fund launched by 25-year-old prodigy Leopold Aschenbrenner. What began as a multibillion-dollar bet on the future of artificial intelligence quickly became a masterclass in concentration risk, leverage and what happens when Silicon Valley confidence runs headfirst into experienced Wall Street operators. From FTX and OpenAI to a brutal margin call, a massive portfolio sale to Ken Griffin's Citadel and a suspiciously well-timed rebound in the very stocks that had just been crushed, Chris walks through the timeline, separates the facts from the theories and asks the question nobody wants to answer: was this simply reckless risk management—or did one of the smartest young minds in AI get completely outplayed?

OpenAI says its unreleased Astra model solved or advanced ten long-standing mathematical problems for roughly $2,000. The results raise a larger question: what happens when AI can produce important breakthroughs that almost nobody has the expertise to understand, assess or independently verify? In the headlines: a new Deepseek model, Amazon completes OpenAI investment, and is Situational Awareness dead or alive? AIDB's AI Summer Adventure: ⁠⁠⁠⁠⁠⁠⁠https://summeradventure.ai/⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠kpmg.com/us/Sophisticated⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hyperagent.com/aidailybrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.rackspace.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Section turns AI investment into workforce transformation and ROI - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Today, a look at the implications for a stronger JPY from coordinated intervention as the US has joined forces with Japan to force yen appreciation. As well, we wonder what the implications are for equities now that we trade with a much cleaner slate after reaching the other side of blowups in leveraged single-stock ETFs and the liquidation of the Situational Awareness fund late last week. A busy week ahead for earnings and macro and more also previewed on today's pod, which is hosted by Saxo Global Head of Macro Strategy John J. Hardy.  Links discussed on today's podcast and our Chart of the Day can be found on the John J. Hardy substack (within two to four hours from the time of the podcast release). Read daily in-depth market updates from the Saxo Market Call and the Saxo Strategy Team here. Please reach out to us at marketcall@saxobank.com for feedback and questions. Click here to open an account with Saxo. Intro music by AShamaluevMusic DISCLAIMER This content is marketing material. Trading financial instruments carries risks. Always ensure that you understand these risks before trading. This material does not contain investment advice or an encouragement to invest in a particular manner. Historic performance is not a guarantee of future results. The instrument(s) referenced in this content may be issued by a partner, from whom Saxo Bank A/S receives promotional fees, payment or retrocessions. While Saxo may receive compensation from these partnerships, all content is created with the aim of providing clients with valuable information and options.

This week: Situational Awareness—an A.I.-forward hedge fund led by a former wunderkind and OpenAI employee—was tanking fast until a rival fund stepped in. Felix Salmon, Elizabeth Spiers, and Emily Peck explain the series of events that led to Citadel swooping in to buy the bulk of assets held by 25-year-old Leopold Aschenbrenner's investment firm. Then, it's time to talk about the “crack spread”—aka the reason we aren't seeing relief at the gas stations despite steadying oil prices. And finally, the hosts discuss the backlash to the SEC's proposal to do away with its quarterly report requirement. In the Slate Plus episode: Is Cheaper Gas Worth Your Time?Want to hear that discussion and hear more Slate Money? Join Slate Plus to unlock weekly bonus episodes. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Slate Money show page on Apple Podcasts and Spotify. Or, visit slate.com/moneyplus to get access wherever you listen. Podcast production by Jessamine Molli. Hosted on Acast. See acast.com/privacy for more information.

This week: Situational Awareness—an A.I.-forward hedge fund led by a former wunderkind and OpenAI employee—was tanking fast until a rival fund stepped in. Felix Salmon, Elizabeth Spiers, and Emily Peck explain the series of events that led to Citadel swooping in to buy the bulk of assets held by 25-year-old Leopold Aschenbrenner's investment firm. Then, it's time to talk about the “crack spread”—aka the reason we aren't seeing relief at the gas stations despite steadying oil prices. And finally, the hosts discuss the backlash to the SEC's proposal to do away with its quarterly report requirement. In the Slate Plus episode: Is Cheaper Gas Worth Your Time?Want to hear that discussion and hear more Slate Money? Join Slate Plus to unlock weekly bonus episodes. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Slate Money show page on Apple Podcasts and Spotify. Or, visit slate.com/moneyplus to get access wherever you listen. Podcast production by Jessamine Molli. Hosted on Acast. See acast.com/privacy for more information.

This week: Situational Awareness—an A.I.-forward hedge fund led by a former wunderkind and OpenAI employee—was tanking fast until a rival fund stepped in. Felix Salmon, Elizabeth Spiers, and Emily Peck explain the series of events that led to Citadel swooping in to buy the bulk of assets held by 25-year-old Leopold Aschenbrenner's investment firm. Then, it's time to talk about the “crack spread”—aka the reason we aren't seeing relief at the gas stations despite steadying oil prices. And finally, the hosts discuss the backlash to the SEC's proposal to do away with its quarterly report requirement. In the Slate Plus episode: Is Cheaper Gas Worth Your Time?Want to hear that discussion and hear more Slate Money? Join Slate Plus to unlock weekly bonus episodes. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Slate Money show page on Apple Podcasts and Spotify. Or, visit slate.com/moneyplus to get access wherever you listen. Podcast production by Jessamine Molli. Hosted on Acast. See acast.com/privacy for more information.

The week was dominated by hedge fund Situational Awareness being forced to sell its equity holdings, leading to both a drop and a pop in AI-related stocks. What went wrong and what can we learn? Plus, we discuss why hyperscalers are moving in opposite directions, why Tesla may leave China, and the stocks on our radar. Travis Hoium, Lou Whiteman, and Jason Moser discuss: - Situational Awareness - Leverage Gone Wrong - Hyperscaler Divergence - Would You Rather? - Tesla in China - Stocks On Our Radar Companies discussed: Tesla (TSLA), GM (GM), Eli Lilly (LLY), Novo Nordisk (NVO), JPMorgan (JPM) SoFi (SOFI), SpaceX (SPCX), Costco (COST), Target (TGT), L3Harris (LHX), Keysight (KEYS). Host: Travis Hoium Guests: Lou Whiteman, Jason Moser Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

This Week In Startups is made possible by: YSecurity https://YSecurity.io/TWIST MongoDB https://MongoDB.com/ai Odoo https://Odoo.com/twist Today's show: AI models can solve PhD-level math equations and code an app in minutes… So why does everything they design look like identical slop? Thais Castello Branco, founder of Taste Labs, raised $18.5M in seed funding to teach frontier models about aesthetics and outputting quality content. She talks to Jason and Lon about why even frontier models regress to the mean on subjective tasks, how paid "TasteMakers" can improve output quality, and whether AI accelerates or destroys the half-life of "what's cool." PLUS Leopold Aschenbrenner's AI hedge fund liquidated its public stock portfolio, but it may be too soon to count this 25-year-old completely out. Google Earth adds AI generation and turns into a misinformation factory. LinkedIn and Substack join the AI slop crackdown. And why does every venture capitalist seem to have an opinion about the Ceuta border crisis? Guest Thais Castello Branco on X: https://x.com/thaiscbranco_ Taste Labs: https://tastelabs.com/ Amplify Partners: "Kill the Slop": https://www.amplifypartners.com/blog-posts/kill-the-slop-announcing-our-investment-in-taste Relevant Links Leopold Aschenbrenner's essay "Situational Awareness": https://situational-awareness.ai/ CNBC on SA fund collapse: https://www.cnbc.com/2026/07/31/leopold-aschenbrenner-situational-awareness-fund-fire-sale.html Henk van Ess thread on Google Earth + Nano Banana: https://x.com/henkvaness/status/2082912544394498228 Substack CEO Chris Best: "Against Claudefishing": https://post.substack.com/p/against-claudefishing NPR on the Ceuta crisis: https://www.npr.org/2026/07/31/g-s1-136507/morocco-spain-migration Ethan Goodhart's self-driving golf cart post: https://x.com/EthanGoodhart/status/2082136189998682598?s=20 "Wind" app on TestFlight: https://testflight.apple.com/join/zZqmhhwf TechCrunch: "Gritt exits stealth": https://techcrunch.com/2026/07/21/gritt-exits-stealth-with-34-million-for-robots-to-build-solar-plants-then-everything-else/ CA Gov: Project Nexus solar-covered canal announcement: https://www.gov.ca.gov/2026/04/29/governor-newsom-announces-the-completion-of-first-of-its-kind-solar-covered-canal-in-the-central-valley-piloting-a-new-way-to-save-water-and-reduce-costs/ Molly Wood's "Everybody in the Pool" podcast: https://www.everybodyinthepool.com/ Timestamps:   0:00 Coming up on today's show… 1:23 Thais Castello Branco on teaching models to have good taste 10:45 YSecurity - The on-demand security team for startups. Need enterprise-grade security without hiring a $400k CISO? YSecurity gives you 40+ expert engineers, matched to exactly what you need, by the hour, with your first six hours completely free. Go to https://YSecurity.io/TWIST 15:19 The "TasteMaker" community of paid human curators 20:37 MongoDB - AI-assisted and agentic coding is helping you build faster than ever. Start building at https://MongoDB.com/ai 24:40 Jason's personal "cool hunter" prompt 30:16 Odoo - The all-in-one business platform. Get started for free at https://Odoo.com/twist 37:36 Situation Awareness lacked situational awareness 46:59 Claude models hacked three external organizations 50:54 Google Earth adds Nano Banana for some reason 54:24 The AI Slop crackdown spreads 57:54 Too many opinions about the Ceuta migrant crisis 1:04:05 Self-driving golf carts and also cars 1:09:53 Robot arms are installing solar panels   Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp   Follow Lon: X: https://x.com/lons   Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm   Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis   Check out all our partner offers: https://partners.launch.co/   Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland   Check out Jason's suite of newsletters: https://substack.com/@calacanis   Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com

Matt and Nic are back for another week of news and deals. In this episode:  What the novel Hyperion tells us about AI doom Situational Awareness liquidates most of its public book after a sharp AI selloff Will Leo have a second act? Why has AI been selling off? Over 1000 BTC stored in Coldcard wallets were stolen due to bad entropy Where does self-custody go from here? What happened with Coldcard? Political winds are shifting against crypto as midterms loom Strategy continues to strengthen its balance sheet with MSTR common sales An ice cream shop in CA is hedging the weather with Kalshi Circle buy's IBM's blockchain patent portfolio Visions of Bitcoin turns 8 this week  Content mentioned this episode:  Nic and Hasu, Visions of Bitcoin

Amazon reported accelerated cloud growth in the quarter to the end of June, and JPMorgan has walked into another football firestorm as it works on a plan with Fifa. Plus, Citadel bought Situational Awareness equity holdings after the hedge fund suffered steep AI losses, and DR Congo's cobalt boom carries an unwanted cargo: uranium. Mentioned in this podcast:Amazon shares surge higher after cloud business grows 37%How JPMorgan walked into another football firestormEuropean nations to boycott World Cup in protest at Fifa's plansCitadel buys Situational Awareness equity holdings after steep AI lossesDR Congo's cobalt boom carries an unwanted cargo: uraniumSave 10% on tickets with the code FTPodcast. Visit ft.com/festival to find out more.Want to get in touch? Email us at podcasts@ft.comNote: The FT does not use generative AI to voice its podcasts The FT News Briefing is produced by Victoria Craig, Sonja Hutson, Saffeya Ahmed, Katya Kumkova, and Fiona Symon. Our editor is Marc Filippino. Our show is mixed by Sam Giovinco and Alex Higgins. Additional help from Gavin Kallmann, Michael Lello, Peter Barber and David da Silva. Our intern is Cole van Miltenburg. Our executive producer is Topher Forhecz. Flo Phillips is the FT's global head of audio. The show's theme music is by Metaphor Music.Read a transcript of this episode on FT.com Hosted on Acast. See acast.com/privacy for more information.

Reed Albergotti from Semafor is back for our weekly discussion of the latest tech news. We cover: 1) Why Leopold Aschenbrenner's Situational Awareness Hedge Fund 2) Leopold's connections to effective altriusm and how they played into the picture 3) Does EA lead to unacceptable risk taking? 4) What Leopold actually traded 5) What's left of Situational Awareness 6) OpenAI cuts prices as much as 80% 7) Does an AI price war drive everything to zero? 8) Nvidia invests $5 billion in Ilya Sutskever's SSI 8) Microsoft crushes earnings and has the biggest market cap gain ever 9) Amazon crushes earnings too 10) Google rebounds 11) Apple's memory fears and long term risks --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Learn more about your ad choices. Visit megaphone.fm/adchoices

P.M. Edition for July 30. The U.S. economy grew just 1.5% last quarter, lower than the previous quarter and falling short of economists' expectations. WSJ economics reporter Harriet Torry explains why the details in the report, particularly around consumer spending, suggest things aren't as bad as the headline number makes it seem. Plus, the buzzy AI-focused hedge fund Situational Awareness, founded by AI whiz kid Leopold Aschenbrenner, sold most of its stock portfolio to investment firm Citadel. We hear from WSJ special writer Greg Zuckerman about why this happened and where the company goes from here. And a big rally in tech companies sent U.S. stocks soaring today. Alex Ossola hosts. See the new fronts in the Iran war.  Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.