Podcasts about preventing

In this episode, Prof Chapman unpacks extended carrier screening, the test that helps prevent some of the rarest and most serious childhood diseases before a baby is even conceived. He explains how we all carry genetic mutations without knowing it, in fact 98% of us do, and why they only become a problem when both partners happen to share the same one. Prof Chapman walks through the three most common conditions worth testing for, cystic fibrosis, spinal muscular atrophy and fragile X, and shares the good news that Australia now funds this screening through Medicare, along with the IVF needed to avoid passing these conditions on. It’s a warm, clear guide to a topic that sounds daunting but offers real peace of mind for anyone planning a pregnancy. Explore the ‘Prof. Michael Chapman – The IVF Journey’ Facebook Page, your reliable destination for cutting-edge insights and guidance within the realm of In Vitro Fertilization (IVF). Don’t miss out on the IVF Journey podcast; stay informed with the latest episode updates. Tune in for expert discussions and valuable information on navigating the intricate path of IVF.

The Nurses Report on America Out Loud with Melissa Schreibfeder, BSN, RN, BC-FMP – Dr. Peter McCullough discusses preventing respiratory illness, early treatment, long COVID, vaccine injury, and persistent spike protein. He explains nasal hygiene, supportive therapies, patient recovery cases, and a prevention-focused healthcare model while outlining how physicians and functional nurses can better support patients moving...

Wire fraud, identity spoofing, and PII exposure now top the list of operational risks for private capital. In a world of ongoing fraud risk, fiduciary responsibility doesn't end with sound investment decisions — it must extend to operational best practices that protect every capital event. But how? Todd Sorrel, CEO & Co-Founder at 6lock, joins Business Security Weekly to discuss how ever evolving AI attacks are increasing the chances of wire fraud. From voice cloning to deep fakes to impersonation, trust-based, high-touch controls for money transfer processes are inadequate. Todd will share how Zero Trust and verify principles are the only way to defend against these sophisticated wire fraud attacks. Optiv: The One Partner to Advise, Deploy and Operate. That's Cybersecurity Simplified - Black Hat interview with John Hurley, Chief Revenue Officer of Optiv This segment will focus on Optiv's unmatched ability to advise, deploy and operate complete cybersecurity programs. With more than 6,000 clients and 450 technology partners, Optiv is the one clients trust to handle real-world cyber complexity, reduce risk and deliver real results. Learn why Optiv is the most trusted brand in cyber at https://securityweekly.com/optivbh. The Shift to Machine-Led Security: What's Next for Cyber Defense - Black Hat interview with Galina Antova, CEO and Co-Founder of Kai Artificial intelligence is fundamentally changing cybersecurity- not only by making attacks faster and more sophisticated, but also by forcing defenders to rethink how security operations are built. In this conversation, Kai CEO and co-founder Galina Antova discusses why the industry is moving toward machine-led security, what is preventing organizations from trusting autonomous AI, and what recent survey data from hundreds of CISOs reveals about where cybersecurity is headed next. To learn more about Kai, please visit: https://securityweekly.com/kaibh Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-463

In this episode of the ABA Fraudcast, Google's David Caragliano joins ABA's Paul Benda to discuss how stronger advertiser verification can help prevent online scams, including bank impersonation and fraudulent financial services ads. Caragliano, who leads ad safety policy at Google, explains how advertiser verification, digital identity and modernized registries enable platforms to identify and block unauthorized ads before they reach consumers. ABA offers resources to help banks prevent, identify, measure and report fraud, and to serve and protect consumers. Follow the ABA Fraudcast on Apple Podcasts, Spotify or other podcast apps.

We're thrilled to welcome back Dr. Jeremy Pruzin, Cognitive Behavioral Neurologist, for a conversation that could genuinely change the way you think about your brain health and your future. In this episode, we dive deep into the landmark U.S. POINTER Study (U.S. Study to Protect Brain Health Through Lifestyle Intervention to Reduce Risk), one of the most significant dementia prevention trials conducted on American soil. Dr. Pruzin breaks down what the results actually mean, cuts through the noise, and helps us understand how this research translates from the lab into real, everyday life. Whether you're navigating a loved one's dementia diagnosis, worried about your own cognitive future, or simply want to be proactive about brain health, this episode is packed with insight and actionable takeaways you can start today.

What happens when someone is so deeply caught in a scam that facts and logic no longer reach them?In this episode of Scam Rangers, host Ayelet Biger Levin sits down with Dr. Trina Clayeux, CEO of Give an Hour, to explore the emotional and psychological impact of scams and why empathy is so important in prevention, intervention and recovery.When someone is in the middle of a scam, they may be under intense pressure, emotionally invested or deeply manipulated. Simply telling them, “This is a scam,” may not work.Trina introduces a powerful green, yellow and red framework for understanding a victim's emotional state. If someone is in the red, bringing more logic may only push them further away. Instead, we need to recognize where they are, slow things down and adapt how we communicate.“Trust is the connective tissue to all of this.”The conversation also looks at the broader scam lifecycle, from early intervention to financial institution response, recovery and healing. Because scams are not only financial crimes. They can leave victims struggling with shame, isolation, loss of trust and increased vulnerability to repeat scams.Ultimately, fighting scams requires more than detection. It requires understanding human behavior and meeting people where they are.In this episode Why logic alone may not stop a scam The green, yellow and red emotional framework How empathy can improve scam intervention Building trust without shaming the customer The emotional impact of scams Preventing repeat victimization Connecting prevention, recovery and healingAbout the guestDr. Trina Clayeux is CEO of Give an Hour, a national social impact organization focused on mental health and supporting people impacted by human caused trauma. Give an Hour provides clinical support, peer support, education and training, including programs focused on the psychological and emotional impact of fraud and scams.https://giveanhour.org/About the hostAyelet Biger Levin is the Founder and CEO of RangersAI, the company behind ScamRanger. With more than 15 years in fraud prevention and cybersecurity, she is an Ambassador for the Global Anti Scam Alliance and host of Scam Rangers, exploring how we can better protect people and fight scams.https://www.linkedin.com/in/ayelet-biger-levin/To learn more about RangersAI: https://www.rangersai.com/

Wire fraud, identity spoofing, and PII exposure now top the list of operational risks for private capital. In a world of ongoing fraud risk, fiduciary responsibility doesn't end with sound investment decisions — it must extend to operational best practices that protect every capital event. But how? Todd Sorrel, CEO & Co-Founder at 6lock, joins Business Security Weekly to discuss how ever evolving AI attacks are increasing the chances of wire fraud. From voice cloning to deep fakes to impersonation, trust-based, high-touch controls for money transfer processes are inadequate. Todd will share how Zero Trust and verify principles are the only way to defend against these sophisticated wire fraud attacks. Optiv: The One Partner to Advise, Deploy and Operate. That's Cybersecurity Simplified - Black Hat interview with John Hurley, Chief Revenue Officer of Optiv This segment will focus on Optiv's unmatched ability to advise, deploy and operate complete cybersecurity programs. With more than 6,000 clients and 450 technology partners, Optiv is the one clients trust to handle real-world cyber complexity, reduce risk and deliver real results. Learn why Optiv is the most trusted brand in cyber at https://securityweekly.com/optivbh. The Shift to Machine-Led Security: What's Next for Cyber Defense - Black Hat interview with Galina Antova, CEO and Co-Founder of Kai Artificial intelligence is fundamentally changing cybersecurity- not only by making attacks faster and more sophisticated, but also by forcing defenders to rethink how security operations are built. In this conversation, Kai CEO and co-founder Galina Antova discusses why the industry is moving toward machine-led security, what is preventing organizations from trusting autonomous AI, and what recent survey data from hundreds of CISOs reveals about where cybersecurity is headed next. To learn more about Kai, please visit: https://securityweekly.com/kaibh Show Notes: https://securityweekly.com/bsw-463

Seasonal allergies are affecting many people across the area, and Samantha Rux of OSF St. Luke Medical Center recently joined Ken Peele on Wake Up Tri-Counties to discuss allergy prevention, when to seek medical care, and several upcoming OSF community activities. Rux said seasonal allergies can develop at different points in a person's life. Some people experience them as children and eventually grow out of them, while others may not develop noticeable symptoms until adulthood. Common symptoms can include a stuffy or congested nose, itchy eyes, and other irritation caused by allergens in the air. Preventing and Managing Seasonal Allergies Rux emphasized that people who know they suffer from seasonal allergies should be proactive about managing their symptoms. One important step is beginning an antihistamine routine before symptoms become severe, particularly during the spring and fall allergy seasons. Rux noted that medications can take some time to become fully effective. Other steps people can take include: Keeping windows closed when allergens are high Wearing a mask when doing outdoor chores Paying attention to pollen counts Starting allergy medication before symptoms become severe Working with a primary care provider to determine the best treatment Rux also explained that there are many different potential allergens in the air, so determining exactly what triggers a person's symptoms can be helpful. A primary care provider can discuss symptoms and, when appropriate, arrange allergy testing. Severe or untreated allergies can sometimes contribute to additional problems, including sinus infections. She added that primary care providers can help determine whether symptoms are simply allergies or whether something else may be developing. OSF St. Luke Offers Same-Day Care Options Rux reminded listeners that OSF Medical Group has primary care offices in Kewanee, Galva, and Sheffield. The offices offer primary care services and may have same-day appointment availability depending on the time of day and scheduling needs. Patients can call 309-852-7700 to inquire about an appointment. OSF patients can also use OSF MyChart to access services and schedule appointments online. Preparing for the New School Year With school back in session, Rux also reminded parents about school and sports physicals. Students who decide to participate in sports after initially not planning to do so may need a sports physical. OSF providers can help accommodate those appointments. OSF St. Luke will also continue working with local schools and plans to participate in upcoming activities, including a high school career fair in September. OSF Getting Involved in Hog Days Hog Days is another major event on OSF St. Luke's community calendar. OSF St. Luke is a major sponsor of the Hog Days Stampede, and the OSF OnCall King Caravan will be located near the Stampede finish line. Rux said the mobile health clinic will be available for community members who may want to learn more about the services offered or take advantage of available screenings. OSF will also have an entry in the Hog Days Parade, with mission partners participating along the parade route. Finding OSF Information Online Rux encouraged residents to keep up with OSF St. Luke's latest information through its website and social media channels. Information is available at OSFHealthCare.org, OSFStLuke.org, and on Facebook at OSF St. Luke Medical Center.

Wire fraud, identity spoofing, and PII exposure now top the list of operational risks for private capital. In a world of ongoing fraud risk, fiduciary responsibility doesn't end with sound investment decisions — it must extend to operational best practices that protect every capital event. But how? Todd Sorrel, CEO & Co-Founder at 6lock, joins Business Security Weekly to discuss how ever evolving AI attacks are increasing the chances of wire fraud. From voice cloning to deep fakes to impersonation, trust-based, high-touch controls for money transfer processes are inadequate. Todd will share how Zero Trust and verify principles are the only way to defend against these sophisticated wire fraud attacks. Optiv: The One Partner to Advise, Deploy and Operate. That's Cybersecurity Simplified - Black Hat interview with John Hurley, Chief Revenue Officer of Optiv This segment will focus on Optiv's unmatched ability to advise, deploy and operate complete cybersecurity programs. With more than 6,000 clients and 450 technology partners, Optiv is the one clients trust to handle real-world cyber complexity, reduce risk and deliver real results. Learn why Optiv is the most trusted brand in cyber at https://securityweekly.com/optivbh. The Shift to Machine-Led Security: What's Next for Cyber Defense - Black Hat interview with Galina Antova, CEO and Co-Founder of Kai Artificial intelligence is fundamentally changing cybersecurity- not only by making attacks faster and more sophisticated, but also by forcing defenders to rethink how security operations are built. In this conversation, Kai CEO and co-founder Galina Antova discusses why the industry is moving toward machine-led security, what is preventing organizations from trusting autonomous AI, and what recent survey data from hundreds of CISOs reveals about where cybersecurity is headed next. To learn more about Kai, please visit: https://securityweekly.com/kaibh Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-463

What characteristics make bone biopsies unique in both presentation and procedure? In this episode of the BackTable Podcast, Drs. Junjian Huang and Majid Khan join host Dr. Neil Jain to break down the complexities of bone biopsy technique. They discuss key strategies for tackling difficult cases, from understanding referral patterns and pre-procedure planning to selecting the best guidance modality and anticipating complications. --- Get the BackTable apphttps://www.backtable.com/app --- This podcast is supported by Varian OmniBonehttps://cancercare.siemens-healthineers.com/products/interventional-oncology/musculoskeletal/omnibone --- Timestamps 00:00 - Introduction08:06 - Referrals And Pre-Procedure Planning12:35 - Triaging and Managing Difficult Cases17:06 - Measuring and Improving Diagnostic Yield18:58 - Knowing Boundaries Behind Difficult Cases22:37 - Choosing the Best Guidance Modality26:16 - The Future with Augmented Reality28:11 - Tough Case Scenarios and Setup41:27 - Preventing and Managing Complications47:49 - Technical Tips for Future IRs51:40 - Wrap-up and Credits --- More about this episode The conversation covers how to triage complex cases, adjust technique for smaller or hard-to-reach lesions, and benchmark diagnostic success. Drs. Huang and Khan share their preferred imaging guidance, from CT to fluoroscopy, and explore new frontiers like augmented reality. Case scenarios highlight practical problem-solving, and the episode wraps up with technical pearls and complication-prevention tips gained from years of experience in targeted bone biopsy. --- BackTable Vascular & Interventional (VI) is the go-to podcast for interventional radiologists, vascular surgeons, and interventional cardiologists. Download the free BackTable app to get early access to new episodes, cases, and courses curated by physicians in your specialty. ► https://www.backtable.com/app

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

About this episode:   Global infant mortality has fallen dramatically since 1990, but neonatal sepsis—a serious bloodstream infection occurring in newborns—still accounts for a significant portion of preventable deaths. Simple interventions like good hygiene practices and sufficient staffing in delivery rooms could reduce infections and prevent fatalities. In this episode: Pablo Duran, a perinatal health expert with the Pan American Health Organization, explains how providers, parents, and public health can prevent, recognize, and treat neonatal sepsis early on for better outcomes. Guest:  Dr. Pablo Duran, PhD, MPH, is a pediatrician and neonatologist who serves as the regional advisor on perinatal health for the Pan American Health Organization. Host:  Dr. Josh Sharfstein is distinguished professor of the practice in Health Policy and Management, a pediatrician, and former secretary of Maryland's Health Department. He served as the Baltimore City Commissioner of Health from 2005 to 2009. Show links and related content:  A Simple Action, a Major Impact: Hand Hygiene Against Maternal and Neonatal Sepsis—Pan American Health Organization Strategies to prevent, detect, and treat neonatal sepsis in the face of AMR—PAHO TV via YouTube Transcript information: Looking for episode transcripts? Open our podcast on the Apple Podcasts app (desktop or mobile) or the Spotify mobile app to access an auto-generated transcript of any episode. Closed captioning is also available for every episode on our YouTube channel. Contact us: Have a question about something you heard? Looking for a transcript? Want to suggest a topic or guest? Contact us via email or visit our website. Follow us: @‌PublicHealthPod on Bluesky @‌PublicHealthPod on Instagram @‌JohnsHopkinsSPH on Facebook @‌PublicHealthOnCall on YouTube Here's our RSS feed Note: These podcasts are a conversation between the participants, and do not represent the position of Johns Hopkins University.

Five years ago Dr. Sofi first joined Pac Talk. A lot has changed since — for her business, her body, and for Piet too. This episode is a full catch-up covering three big things: how to actually prevent ACL injuries in young athletes, why she's dedicating part of her career to training the next generation of physical therapists, and what it really looks like to balance being a business owner, physical therapist, gym owner, athlete, and wife all at once.Dr. Sofi runs Raw Performance in San Dimas, where roughly 60% of her caseload is kids. She breaks down what she's actually seeing in her clinic — the majority of ACL tears she treats come from soccer and flag football, roughly 75% in female athletes, driven by a combination of overtraining without recovery, inadequate strength training, and in some cases nutrition trends swinging back toward "skinny is better." She also gets into the research connecting hormonal fluctuations during ovulation to increased ligament laxity and ACL risk — an important, underdiscussed piece of the picture for parents of young female athletes.They tackle the biggest myth head-on: that lifting weights stunts a child's growth. It doesn't. Dr. Sofi trains kids as young as four, and the evidence is clear that properly supervised strength training builds resilient tendons, ligaments, and joints — the exact opposite of what old-school thinking assumed.Beyond the clinical side, this episode gets personal. Dr. Sofi opens up about teaching at Azusa Pacific to help train the next generation of PTs, training for the Chicago Marathon while running her own practice, learning to set boundaries with clients, and why choosing to do something that scares you — whether that's a marathon or standing in front of a room of grad students — is exactly what keeps you growing.This one's for parents of young athletes, for anyone juggling multiple roles and wondering how to do it without burning out, and for anyone who believes community and education are just as important as reps in the gym. Connect with Dr. SofiInstagram

In the latest edition of the No-Till Farmer podcast, Iowa State Univ. nematologist Greg Tylka shares the results of more than 2 decades of data collected by the university showing that soybean cyst nematode (SCN) continues to develop increased reproduction on PI 88788.

Happy Feet: Understanding, Preventing & Relieving Plantar Fasciitis by Faithful Workouts Podcast

In this conversation, Dr. Jeffrey Gladden and Dr. Philip Ovadia discuss the critical intersection of cardiology and longevity, emphasizing the need for a shift from treating heart disease to preventing it. They explore personal transformations, the role of diet, particularly low-carb and carnivore diets, and the importance of understanding insulin resistance in relation to heart health. The discussion also highlights advancements in cardiovascular diagnostics and the necessity for early detection and patient education to combat heart disease effectively.   For Audience Join the other 20,000+ high-performers getting weekly insights on biological reversal, exponential strategies, and Life Energy optimization→ https://start.gladdenlongevity.com/subscribe If you're ready to measure your 60+ biological ages and build a personalized reversal plan, apply for a discovery call here → https://start.gladdenlongevity.com/apply-now   Use code 'Podcast10' to get 10% OFF on any of our supplements at https://gladdenlongevityshop.com/!    Takeaways ·       The focus on longevity in cardiology is essential. ·       Preventing heart disease is more effective than treating it. ·       Personal health transformations can lead to professional insights. ·       Dietary changes can significantly impact heart health. ·       Insulin resistance is a major factor in heart disease. ·       Understanding the role of cholesterol is crucial. ·       Early detection of insulin resistance can prevent heart disease. ·       Patient education is vital for long-term health outcomes. ·       Innovative diagnostics can revolutionize heart disease management. ·       A holistic approach to rehabilitation is necessary for recovery.   Chapters 00:00 Introduction to Longevity in Cardiology 02:50 The Shift from Treatment to Prevention 05:59 Personal Transformation and Dietary Changes 08:58 Understanding Insulin Resistance and Heart Disease 12:02 The Role of Diet in Cardiovascular Health 15:07 Innovations in Cardiovascular Diagnostics 18:02 The Importance of Early Detection 20:56 Rehabilitation and Patient Education 24:07 The Future of Cardiology and Preventative Care   To learn more about Dr. Philip Ovadia: Facebook: https://www.facebook.com/ovadiahearthealth Instagram: https://www.instagram.com/ifixhearts/ Twitter: https://twitter.com/ifixhearts X URL: https://x.com/ifixhearts YouTube: https://www.youtube.com/@IFixHearts LinkedIn: Linkedin.com/in/philip-ovadia-heart-health/ Book: https://www.amazon.com/Stay-off-Operating-Table-Metabolic/dp/1737818205/   Reach out to us at:    Website: https://gladdenlongevity.com/     Facebook: https://www.facebook.com/Gladdenlongevity/    Instagram: https://www.instagram.com/gladdenlongevity/?hl=en     LinkedIn: https://www.linkedin.com/company/gladdenlongevity    YouTube: https://www.youtube.com/channel/UC5_q8nexY4K5ilgFnKm7naw       Gladden Longevity Podcast Disclosures Production & Independence The Gladden Longevity Podcast and Age Hackers are produced by Gladden Longevity Podcast, which operates independently from Dr. Jeffrey Gladden's clinical practice and research at Gladden Longevity in Irving, Texas. Dr. Gladden may serve as a founder, advisor, or investor in select health, wellness, or longevity-related ventures. These may occasionally be referenced in podcast discussions when relevant to educational topics. Any such mentions are for informational purposes only and do not constitute endorsements. Medical Disclaimer The Gladden Longevity Podcast is intended for educational and informational purposes only. It does not constitute the practice of medicine, nursing, or other professional healthcare services — including the giving of medical advice — and no doctor–patient relationship is formed through this podcast or its associated content. The information shared on this podcast, including opinions, research discussions, and referenced materials, is not intended to replace or serve as a substitute for professional medical advice, diagnosis, or treatment. Listeners should not disregard or delay seeking medical advice for any condition they may have. Always seek the guidance of a qualified healthcare professional regarding any questions or concerns about your health, medical conditions, or treatment options. Use of information from this podcast and any linked materials is at the listener's own risk. Podcast Guest Disclosures Guests on the Gladden Longevity Podcast may hold financial interests, advisory roles, or ownership stakes in companies, products, or services discussed during their appearance. The views expressed by guests are their own and do not necessarily reflect the opinions or positions of Gladden Longevity, Dr. Jeffrey Gladden, or the production team. Sponsorships & Affiliate Disclosures To support the creation of high-quality educational content, the Gladden Longevity Podcast may include paid sponsorships or affiliate partnerships. Any such partnerships will be clearly identified during episodes or noted in the accompanying show notes. We may receive compensation through affiliate links or sponsorship agreements when products or services are mentioned on the show. However, these partnerships do not influence the opinions, recommendations, or clinical integrity of the information presented. Additional Note on Content Integrity All content is carefully curated to align with our mission of promoting science-based, ethical, and responsible approaches to health, wellness, and longevity. We strive to maintain the highest standards of transparency and educational value in all our communications.

The Customer Service Department Is Dead: What the Future Service-Centric Organization Looks Like Customer service cannot remain the department responsible for cleaning up problems created by the rest of the company. If an organization is serious about becoming service-centric, every department must understand how its decisions shape the customer experience—and one accountable leader must ensure the entire system works. In Episode 268 of the Customer Service Revolution Podcast, Denise Thompson and John R. DiJulius III examine what the future service-centric organization will look like as AI reshapes customer behavior, frontline roles, organizational design, and the economics of service. The future will not belong to the company with the fastest chatbot or the fewest employees. It will belong to the organization that uses technology to remove friction behind the scenes while making the experience more human in front of the customer. Customer Experience Must Be Enterprise-Wide—but Someone Still Has to Own It "Customer experience is everyone's responsibility" sounds inspiring, but it can become an excuse for having no accountability. John argues that successful organizations need a clear experience champion—someone who loses sleep over the experience and has the authority, KPIs, and executive access to challenge decisions that could hurt customers or employees. In a large enterprise, that may be a chief experience officer supported by a customer experience department. In a smaller organization, it may be a shared role assigned to an HR, training, operations, or other senior leader. The title matters less than the clarity of the mandate, the time committed to it, and the metrics tied to it. The role should also extend beyond the customer. A truly service-centric organization manages the entire experience ecosystem: customer experience, employee experience, and vendor experience. AI Should Remove Friction, Not Humanity AI is changing customer service, but using it only to reduce headcount can create expensive unintended consequences. Gartner predicts that by 2027, half of the companies that cut customer service staff because of AI will rehire people to perform similar functions under different titles. Gartner has also reported that only 20% of customer service leaders had reduced agent staffing because of AI. As AI handles routine questions, human employees inherit the escalations, emotional customers, sensitive conversations, and high-stakes decisions. That work can be more meaningful—but also far more demanding. Organizations must protect employees from empathy fatigue, make access to a human easier, and train people in the skills technology cannot replace: empathy, curiosity, listening, rapport building, judgment, and the ability to defuse an upset customer. Your Customer May Send an AI Agent Instead of Visiting Your Website The customer journey may no longer begin on a company's website, app, or contact center. Gartner found that customers were approximately three times more likely to use a third-party generative AI tool than a company-provided chatbot when trying to resolve a service issue. Among customers who already used generative AI, 58% had used it to complete a task—not merely find information—and that figure reached 74% in B2B settings. That creates a new strategic threat: the company can become invisible while an outside AI platform recommends brands, compares choices, completes purchases, and resolves problems. Technology is easy for competitors to copy. Human connection, trust, community, and a distinctive brand experience are harder to duplicate. Access to a Human Could Become the Next Competitive Advantage Pega research found that 77% of consumers believed they always or often achieved better outcomes when dealing only with a human, while two-thirds preferred human-led support. Nearly half said they did not trust businesses that used AI to handle customer service interactions completely. Despite that preference, many organizations continue to make people fight through layers of self-service before reaching an employee. John's answer is blunt: a customer should be able to reach a human when the customer wants to. Companies that preserve convenient human access—and equip those employees to deliver empathy, expertise, and judgment—may be able to turn humanity itself into a powerful brand differentiator. Personalization Without Integrity Becomes Exploitation More customer data creates more opportunities to personalize an experience, but not every technically possible use of data is ethical. The public controversy over Delta Air Lines' AI-supported pricing illustrated how quickly personalization can be perceived as surveillance pricing. Using customer knowledge to anticipate a need or make someone feel cared for is service. Using a customer's identity, vulnerability, income, or presumed willingness to pay to extract the highest possible price is exploitation. Customers should be allowed to choose and pay for clearly defined service levels; businesses should not quietly decide that a particular customer can be charged more. Integrity cannot become collateral damage in the race to personalize. The Best Model Is People-Led and Technology-Powered Walmart and Starbucks offer a more promising blueprint. Walmart has introduced AI tools designed to support approximately 1.5 million U.S. associates, including real-time translation and technology that reduced shift-planning time from 90 minutes to 30 minutes. Starbucks' Green Apron Service model combines staffing, workflow improvements, and technology to give employees more time for craft and customer connection. These organizations are not presenting technology as the experience. They are positioning it as the infrastructure that helps people deliver the experience. That is where AI creates real value: transcribing workshop notes, organizing information, handling repetitive tasks, accelerating internal processes, and giving employees more time to think, connect, and solve. Stop Measuring Speed at the Expense of Loyalty Average handle time, ticket volume, and cost per contact can reward speed while quietly damaging the relationship. Fast service that makes a customer feel dismissed is not a win. Neither is a warm interaction that fails to solve the problem. The future service-centric organization must measure both efficiency and experience. John recommends tracking earned sales growth—the percentage of business generated through repeat customers and referrals rather than purchased through advertising—along with the operational and experience measures that explain why loyalty is rising or falling. The most important question is not simply, "Was the issue resolved?" It is, "How did the customer feel after doing business with us?" What Leaders Should Build Now The future service-centric organization will: Assign one accountable experience champion with clear authority, priorities, KPIs, and executive access. Make every department responsible for understanding its internal or external customer and its effect on the end experience. Use AI for repetitive, administrative, and low-risk work while preserving human judgment for sensitive, ethical, financial, and health-related decisions. Train employees continuously in AI readiness and service aptitude skills. Give frontline employees the authority to solve problems without unnecessary permission-seeking. Protect easy access to a skilled human whenever a customer wants or needs one. Measure loyalty, repeat business, referrals, complaints, certainty, and customer outcomes—not speed alone. Refuse uses of customer data that exploit vulnerability or presumed ability to pay. Build strong customer service systems first, then layer AI on top of them. Customer service may stop being a department, but service must become the operating system of the entire company. Chapters 00:59 — Why the customer service department is dead 01:51 — Enterprise-wide ownership still needs one accountable champion 05:06 — Does every company need a chief experience officer? 07:34 — Breaking silos through cross-functional CX leadership 08:26 — Are companies using AI to improve service or cut headcount? 11:14 — The new role of the human service professional 13:30 — Preventing escalation overload and empathy fatigue 15:17 — When customers send third-party AI to handle your company 19:36 — Will access to a human become a premium service? 23:08 — Why community and brand experience are returning 26:11 — AI costs, disappearing entry-level roles, and the talent pipeline 30:14 — Walmart, Starbucks, and the people-led, tech-powered model 34:03 — Personalization, surveillance, and the integrity line 38:59 — Which traditional customer service metrics now work against CX? 42:23 — A practical blueprint for leadership, employees, technology, and measurement 48:05 — The first question every CEO should ask Key Takeaways Customer experience can be enterprise-wide without becoming leaderless; one person must still own the system and its results. AI creates the most value when it removes repetitive work and gives employees more time for judgment, empathy, and connection. Automating simple interactions can leave human agents with a relentless stream of emotionally difficult cases, increasing the risk of empathy fatigue. Third-party AI platforms may become the new front door to the customer journey, making a distinctive human brand experience even more important. Easy access to a knowledgeable human can become a powerful competitive advantage. Personalization crosses the line when customer data is used to exploit vulnerability or presumed willingness to pay. Metrics such as average handle time can produce unintended behavior when they are not balanced with loyalty, customer outcomes, repeat business, and referrals. A company needs clear service systems before it layers AI onto the customer experience. Quotes "Someone has to lose sleep at night over the experience the company is providing." — John R. DiJulius III "When answers are everywhere, questions become the scarce resource." — John R. DiJulius III "When the world gets more artificial, we need to become more human." — John R. DiJulius III "The more digital we become, the more human is the competitive advantage." — John R. DiJulius III "Integrity shouldn't be something that is outdated." — John R. DiJulius III "EX equals CX. Employee experience equals customer experience." — John R. DiJulius III "Customer service may stop being a department, but service must become the operating system of the entire company." — Denise Thompson Resources Mentioned in This Episode Gartner: Half of companies that cut customer service staff because of AI will rehire by 2027 Gartner: 85% of service leaders are expanding human-agent responsibilities Gartner: Customers are three times more likely to use third-party GenAI than company chatbots Pega: Consumers demand more from AI-powered customer service PwC: 2025 Customer Experience Survey Walmart: AI-powered tools for 1.5 million associates Starbucks: Green Apron Service and improved service performance Delta Air Lines: Response regarding AI-supported pricing Links: ROX Dashboard:  https://thedijuliusgroup.com/rox-dashboard/ The DiJulius Group Methdology: https://thedijuliusgroup.com/x-commandment-methodology/ Company Service Aptitude Test:  https://thedijuliusgroup.com/c-sat-forms/individual-c-sat/ Schedule a Complimentary Call with one of our advisors:  tdg.click/claudia Ask John!  Submit your questions for John, to be aired on future episode:  tdg.click/ask Customer Experience Executive Academy: https://thedijuliusgroup.com/project/cx-executive-academy/ Experience Revolution Membership:  https://thedijuliusgroup.com/membership/ Books:  https://thedijuliusgroup.com/shop/ Contacts:  Lindsey@thedijuliusgroup.com , Claudia@thedijuliusgroup.com If you want to learn how world-class organizations build cultures customers cannot live without, explore The Experience Revolution Membership. Inside the membership you'll gain access to livestream workshops, practical frameworks, and proven strategies used by organizations around the world. Learn more at https://thedijuliusgroup.com/membership/ Learn More If your organization is working to improve customer experience but struggling to connect it to measurable business outcomes, The DiJulius Group can help. Visit: https://thedijuliusgroup.com Listen to more episodes: https://thedijuliusgroup.com/the-customer-service-revolution-podcast/ Subscribe We talk about topics like this each week; be sure to subscribe wherever you listen to podcasts so you don't miss an episode.

This week, Jaci and Chelsey are revisiting some of the most shocking anonymous confessions ever shared on What We Said! They're reading secrets about hooking up with the wrong person and bathroom moments that should have stayed private. There are bad habits to confess, plus a story that demands justice for grandma. Then things get petty with roommate revenge, harmless pranks, and listeners finding creative ways to get back at their exes.// WHAT WE ARE WEARING/MENTIONING // https://shopmy.us/shop/whatwesaidpodcast SHOP OUR MERCH: https://shop.dearmedia.com/collections/what-we-said !!! FOLLOW US !!!INSTA: @WHATWESAID, @JACIMARIESMITH, @CHELSEYJADECURTISTIKTOK: @CHELSEYJADECURTIS, @JACIMARIESMITHYOUTUBE: WATCH WHAT WE SAID, CHELSEY JADE, JACI MARIE// SPONSORS //Salt & Stone: Try Salt and Stone's discovery set to find your signature scent — Go to saltandstone.com/WHATWESAID and use code WHATWESAID at checkout for 15% off your first order.Quince: Go to quince.com/whatwesaid for free shipping on your order and 365-day returns. Cort: Rent today at cort.com/podcast. Labcorp: Visit OnDemand.Labcorp.com/whatwesaid and use code “whatwesaid” to save up to 15% on select tests.Opill: You can find Opill at most major retailers, in-stores and online. Preventing pregnancy is as easy as Opill. Read all label information. Use as directed. Please note that this episode may contain paid endorsements and advertisements for products and services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode.Produced by Dear Media.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

David Daoud and Edmund Fitton-Brown examine UNIFIL's mandate, which restricts it to acting as an auxiliary to the Lebanese Armed Forces, preventing independent disarmament of Hezbollah. Consequently, Hezbollah operates freely near UN watchtowers and tunnel networks. Daoud argues that while new US Treasury sanctions expanding target parameters to include Iranian violations are positive, they fail to address Hezbollah's deep integration into Lebanon's socio-political fabric. To be effective, the West must treat Hezbollah as a Lebanese entity with sovereign responsibilities, rather than purely an Iranian proxy. True security requires targeting all of Hezbollah's activities, including its social and political wings. (5)

Pickleball has become one of the go-to ways for older adults to stay active these days. In this episode, we share three easy tips to help prevent common injuries, so you can keep playing with confidence, match after match. To support more content like this, and get valuable benefits and discounts, become an AARP member at aarp.org. And don't forget to subscribe for more tips and tricks to help make your life a little easier — and happier!

Stress is often associated with obvious challenges such as heat or transportation, but Dr. Baumgard explains that many stressors trigger similar biological responses. Understanding these shared pathways provides important insight into how stress influences animal health, nutrient utilization, immune function, and ultimately dairy cow performance. (00:00 – 05:16)  The panel examines common stressors encountered in dairy systems, including heat stress, weaning, overcrowding, feed interruptions, dehorning, environmental noise, facility design challenges, and routine management disruptions. The speakers emphasize that stress is not always obvious. In addition, they note that multiple seemingly minor challenges can collectively impact health, welfare, and productivity. (05:17 – 08:29)  A major portion of the discussion focuses on what happens inside the animal during periods of stress. Dr. Baumgard explains how activation of the hypothalamic-pituitary-adrenal (HPA) axis triggers a cascade involving mast cell signaling, reduced mucus production, and increased intestinal permeability. These physiological changes can create conditions that favor pathogen growth. In addition, they can increase inflammation, and reduce productive efficiency. (08:30 – 11:12)  The conversation then turns to gastrointestinal barrier dysfunction, often referred to as "leaky gut." The panel discusses the gut's role as a critical defense system and explains why maintaining intestinal integrity is essential for nutrient absorption, immune regulation, and overall animal health. When stress compromises this barrier, animals become more susceptible to inflammation and disease challenges. (11:13 – 13:26)  While nutrition can play a supportive role, Dr. Baumgard argues that reducing stress through management practices often delivers the greatest return on investment. Preventing stress before it occurs is frequently more effective than attempting to correct physiological disruptions after they have already begun. (13:27 – 14:18)  The speakers also explore the concept of adaptation and stacked stressors, particularly during the transition period. Transition cows frequently encounter multiple challenges simultaneously. Moreover, the cumulative effects of several stressors may overwhelm an animal's ability to adapt. This helps explain why health disorders and performance declines often emerge during critical production stages. (14:19 – 17:28) Heat stress receives special attention as one of the most economically significant stressors affecting dairy cattle worldwide. Dr. Baumgard details how heat stress redistributes blood flow away from the gastrointestinal tract, leading to gut hypoxia and impaired intestinal function. The discussion also examines why cows naturally reduce feed intake during hot conditions. In addition, it explains why cooling and management interventions often outperform nutritional strategies alone. (17:29 – 27:04) The panel then reviews nutritional approaches that may help support animals during periods of stress. While antioxidant responses have been inconsistent across research studies, Dr. Baumgard highlights evidence suggesting that highly bioavailable zinc sources can consistently support intestinal integrity. These zinc sources can also improve resilience during stressful events. (27:05 – 32:22) Another key topic is immune activation and nutrient partitioning. The speakers explain that activated immune systems become major consumers of glucose and amino acids, diverting nutrients away from productive functions such as milk synthesis. This shift helps explain why production losses during stressful periods often exceed what would be expected from reduced feed intake alone. (32:23 – 37:13)  The episode concludes with a discussion on inflammation, endotoxin handling, mineral metabolism, hypocalcemia, and future research priorities. The panel examines how inflammation influences calcium and trace mineral dynamics during the transition period. Furthermore, they discuss the ongoing challenge of identifying practical solutions to stress-induced gut barrier dysfunction. (37:14 – 45:38) Understanding stress physiology requires looking beyond individual stress events and recognizing the interconnected biological systems that influence animal performance. Whether stress originates from environmental conditions, management practices, or physiological demands, many stressors converge on common pathways that affect gut health, immune function, nutrient utilization, and productivity. This episode provides valuable insight into the mechanisms behind those responses. Moreover, it highlights why effective stress management remains one of the most powerful tools for improving dairy cattle health and performance. Please subscribe and share with your industry friends. This helps increase awareness of topics like the impact of excess liver copper concentrations. Invite more people to join us at the Real Science Exchange virtual pub table. Please be sure to register for our upcoming Real Science Lecture Series. If you want one of our Real Science Exchange t-shirts, screenshot your rating, review, or subscription. Then, email a picture to anh.marketing@balchem.com. Include your size and mailing address.

Aug. 25, 2026- This summer it was revealed that thousands of noncitizens were registered to vote in New Jersey, prompting questions about New York's voter registration process. We discuss the system and potential vulnerabilities with Douglas Kellner, former Democratic co-chair for the State Board of Elections.

Howard Tullman, American entrepreneur, venture capitalist, educator, writer, lecturer, and art collector, joins Lisa Dent to discuss his latest article.

Why does motivation disappear a few weeks after starting a new diet or workout program?Motivation burnout isn't something you simply have to accept, and it may be a warning that you're investing too much effort for too little perceived reward. In this episode, I explain why starting slower can actually build motivation over time, how to create momentum with low-cost habits, and why scaling back when life gets difficult is often better than forcing yourself to push harder.Learn how to make fitness feel increasingly worthwhile so you can keep progressing without relying on endless discipline and willpower.Be fit. Live free.

If YOU'RE ready to make real, sustainable change in your life, jump on a free call with us - https://physiquedevelopment.typeform.com/to/ToP9TYLEToday, we're talking about five training mistakes that are actually preventing you from building muscle. You may be doing EVERYTHING ELSE right, but if you are doing these five things… Chances are you aren't seeing growth. And we're not talking surface-level tips here—this is the wake-up call you need to truly see change. Join Alex and Sue as they dive into how to get out of your own way and the two choices you have. Will you keep trying to out-discipline your discomfort or will you learn to embrace support and growth even when the process feels messy and imperfect?Have questions for future episodes or a topic you'd like us to cover? Submit them here - https://forms.gle/AEu5vMKNLDfmc24M7As always, it is our goal not only to supply you, the listener, with valuable insights on the topics or questions but also to plant some seeds for further research and thought. Be sure to like and subscribe and leave us a review if you loved this episode!Timestamps:(0:00) Today's topic(2:00) Mistake #1(5:11) Mistake #2(13:24) Mistake #3(19:58) Mistake #4(23:23) Mistake #5(27:48) The only 2 options you haveOPTIMIZE Your Muscle-Building:Why You're Not Building Muscle Even Though You Lift Weights - https://pod.fo/e/3542c6Why You DON'T Need a Huge Surplus to Build Muscle - https://pod.fo/e/358b03How to Build Muscle While MINIMIZING Fat Gain (Part 1) - https://pod.fo/e/35d759How to Build Muscle While MINIMIZING Fat Gain (Part 2) - https://pod.fo/e/361fc8How Long Should a Muscle‑Building Phase Really Last? - https://pod.fo/e/366a56Follow us on Instagram:Coach Alex - https://www.instagram.com/alexbush__Coach Sue - https://www.instagram.com/suegainzPhysique Development - https://www.instagram.com/physiquedevelopment_Physique Development Podcast - https://www.instagram.com/physiquedevelopmentpodcast----Produced by: David Margittai | In Post MediaWebsite: https://www.inpostmedia.comEmail: david@inpostmedia.com© 2026, Physique Development LLC. All rights reserved.

Lameness can quietly reduce milk production, cow welfare, and dairy farm profitability. In this episode of The Moos Room, we examine how a difficult, wet spring prompted our dairy to make routine hoof trimming a priority for both its grazing and confinement herds.Since 2019, every cow—including lactating and dry cows—has been trimmed twice a year, with hoof problems carefully recorded. The results have been substantial: the percentage of cows with hoof issues declined from 15.6% during the first whole-herd trimming to just 2–3% during the past two spring trimmings. Thin soles and toe ulcers have nearly disappeared, white line disease has declined, and antibiotic use for lameness has fallen.Learn why grazing cows still benefit from routine trimming, how common hoof lesions affect cattle, and why partnering with a hoof trimmer to establish a consistent maintenance schedule can improve cow longevity, employee satisfaction, and farm profitability.Questions, comments, scathing rebuttals? -> themoosroom@umn.edu or call 612-624-3610 and leave us a message!Linkedin -> The Moos RoomTwitter -> @UMNmoosroom and @UMNFarmSafetyFacebook -> @UMNDairyYouTube -> UMN Beef and Dairy and UMN Farm Safety and HealthInstagram -> @UMNWCROCDairyExtension WebsiteAgriAmerica Podcast Directory 

In this episode, Jerry Bradshaw discusses: Training proactive, powerful dogs in proactivity. Preventing early queues in training to your canine. Teaching your dog that their actions initiate activity from the target.  Morphing reactivity into proactivity.  Having a training progression to move away from the handler and decoy help of early foundational training.    Key Takeaways: You want your dog to be willing to initiate, even if there's no reaction or triggers from the decoy. As humans, it is easy for us to identify that a random extremity is part of a larger human being. It takes dogs longer to look at that picture and figure out that what they are seeing is attached to the target, which is a passive human being.  Have a plan if your dog is struggling with proactivity to go back to foundational elements. Don't get in the habit of assisting them with movement every time.  Allow context to work for you. Avoid creating anticipation and let the training and context work by changing the picture the dog sees.    "So don't be lazy. Set up your civil sessions, your scenarios, and make sure as the dog comes into the training area that we're setting up these situations that were not leaving clues on the ground in the form of equipment." —  Jerry Bradshaw   Episode References:  The Working Grip Foundation: https://workinggrip.org/  Stewart Hilliard's Kynology: https://kynology.org/    Get Jerry's book Controlled Aggression on Amazon.com   Contact Jerry: Website: controlledaggressionpodcast.com Email: JBradshaw@TarheelCanine.com Tarheel Canine Training:  www.tarheelcanine.com YouTube:  tarheelcanine Twitter: @tarheelcanine Instagram: @tarheelk9 Facebook: TarheelCanineTraining Protection Sports Website: psak9-as.org Patreon:   patreon.com/controlledaggression Slideshare: Tarheel Canine Calendly: https://calendly.com/tarheelcanine  Tarheel Canine Seminars: https://streetreadyk9.com/  Tarheel Canine Student Portal: https://tcstudentportal.com/    Sponsors:  ALM K9 Equipment: almk9equipment.com PSA & American Schutzhund: psak9-as.org Tarheel Canine: tarheelcanine.com The Drive Company: thedriveco.com  The Drive Company Instagram: instagram.com/thedrive.co  Dog Armour: dogarmour.com  Dog Armour Instagram: instagram.com/dogarmourpro  Rogue Arsenal: roguearsenal.com  Rogue Arsenal Instagram: instagram.com/rogue_arsenal_official  Kirby K9: k9irby.com    Train Hard, train smart, be safe.     Show notes by Podcastologist Chelsea Taylor-Sturkie   Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it.

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Learn more about Refrigeration Mentor Customized Technical Training Programs at www.refrigerationmentor.com/courses Join the Refrigeration Mentor Hub here This is the second of a 2-part episode in our "CO2 Unfiltered" series (link to Part 1 below), this one covering what causes compressor failures and how to prevent them with Jonas Linnemann, Vice President of Technology at Vitalis. Jonas covers properly storing oil, receiver-pressure control strategies, liquid-line branch-offs, oil trapping, oil slugs and the value of visual checks, quick tests, and lab oil analysis. He also shares practical service and maintenance tips that will help refrigeration techs prevent recurring compressor failures. In this episode, we discuss: (00:48) CO2 Oil Storage Basics (02:59) Receiver Pressure Oil Issues (06:53) Honeypot Oil Accumulator (09:38) Oil Charge And Separator Efficiency (11:21) Startup Oil Fill Procedure (19:33) Liquid Line Branch Offs (28:26) PAG vs POE Oil Return (30:08) Evaporators and Oil Slugs (31:52) Field Checks and Piping Fixes (34:21) Jacobs Velocity Explained (38:22) Double Risers and Traps (50:33) Oil Testing and Degassing Helpful Links & Resources: Jonas on LinkedIn Vitalis PART 1: Episode 420. CO2 Oil Management: Preventing Compressor Failures with Jonas Linnemann of Vitalis Episode 253. CO2 Experts: Designing an Oil Management System with Nabil Cook Supermarket Workshop Series Part 1: Oil Management, Oil Components and Troubleshooting

Our guest today is Embrace Grace founder Amy Ford. In her teens Amy fell pregnant unexpectedly and, as happens for many young women in the church, was met with judgement, shame and rejection. Her goal since, has been to equip churches to support women in choosing life at such a crucial time in their lives, and see the church as the first place women turn to and not run from.Listen to more from our Hope Podcasts collection at hopepodcasts.com.au. And send the team a message via Hope 103.2’s app, Facebook or Instagram.See omnystudio.com/listener for privacy information.

Artificial intelligence has quickly evolved from a productivity tool into an active participant in many organizations' daily operations. As organizations give AI greater autonomy within their environment, they're also granting them access to sensitive systems and data. That creates a new challenge for IT and security teams: How do you enable AI to assist productivity without compromising security? Rob Allen, Chief Product Officer at ThreatLocker, joins Business Security Weekly to discuss how zero trust principles can prevent an AI breakout. Rather than relying solely on the AI tool's built-in safeguards, organizations can choose to enforce security policies using ThreatLocker. Rob will discuss how ThreatLocker can enforce AI boundaries through Allowlisting, Ringfencing™, Endpoint Firewall, and Web Content Control, with Community Policies that govern what agentic AI tools can run, do, access, and reach. Segment resources: - https://www.threatlocker.com/blog/the-principle-of-least-privilege-for-ai-agents - https://www.threatlocker.com/blog/applying-threatlocker-to-agentic-ai-tools - https://www.threatlocker.com/blog/why-the-five-eyes-alliance-sees-zero-trust-as-the-best-defense-against-agentic-ai-threats This segment is sponsored by ThreatLocker. Visit https://securityweekly.com/threatlocker to learn more about them! In the leadership and communications segment, 3 cybersecurity issues that should keep every CEO awake at night, You Don't Find Your Leadership Style. You Mentor Your Way Into It., Cybersecurity Starts With Communication – And We May Be Getting It Wrong, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-461

The quantum computing threat isn't a far-off problem anymore, with deadlines rapidly shifting closer to 2029. Organizations are scrambling to secure $30 trillion in legacy IT infrastructure. Dr. José Rosas, CEO of EigenQ, joins host Konstantinos Karagiannis to explain how his company can bypass the need for costly "rip-and-replace" server upgrades by delivering plug-and-play PCIe accelerator boards. By combining quantum entropy (random number generation) with post-quantum cryptography (PQC) algorithms into existing server architectures like Intel Xeon and AMD EPYC, EigenQ creates a full-stack, hardware-rooted trust layer without modifying host motherboards.   Beyond retrofitting legacy servers, Dr. Rosas reveals EigenQ's broader vision to master crypto-agility. Using dynamic hardware reconfiguration to adapt as PQC standards evolve prevents getting trapped by rigid silicon designs. He delves into how their hardware integrates directly into CPU Trusted Execution Environments (TEEs), extends to tactical edge environments like drones, and lays the groundwork for their next frontier: quantum-assisted AI and photonic interconnects.  For more on EigenQ, visit https://www.eigenq.com/.Visit Protiviti at www.protiviti.com/US-en/technology-consulting/quantum-computing-services to learn more about how Protiviti is helping organizations get post-quantum ready.  Follow host Konstantinos Karagiannis on all socials: @KonstantHacker             Questions and comments are welcome!  Theme song by David Schwartz, copyright 2021.  The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries.  None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.  

Artificial intelligence has quickly evolved from a productivity tool into an active participant in many organizations' daily operations. As organizations give AI greater autonomy within their environment, they're also granting them access to sensitive systems and data. That creates a new challenge for IT and security teams: How do you enable AI to assist productivity without compromising security? Rob Allen, Chief Product Officer at ThreatLocker, joins Business Security Weekly to discuss how zero trust principles can prevent an AI breakout. Rather than relying solely on the AI tool's built-in safeguards, organizations can choose to enforce security policies using ThreatLocker. Rob will discuss how ThreatLocker can enforce AI boundaries through Allowlisting, Ringfencing™, Endpoint Firewall, and Web Content Control, with Community Policies that govern what agentic AI tools can run, do, access, and reach. Segment resources: - https://www.threatlocker.com/blog/the-principle-of-least-privilege-for-ai-agents - https://www.threatlocker.com/blog/applying-threatlocker-to-agentic-ai-tools - https://www.threatlocker.com/blog/why-the-five-eyes-alliance-sees-zero-trust-as-the-best-defense-against-agentic-ai-threats This segment is sponsored by ThreatLocker. Visit https://securityweekly.com/threatlocker to learn more about them! In the leadership and communications segment, 3 cybersecurity issues that should keep every CEO awake at night, You Don't Find Your Leadership Style. You Mentor Your Way Into It., Cybersecurity Starts With Communication – And We May Be Getting It Wrong, and more! Show Notes: https://securityweekly.com/bsw-461

The team explores advanced workflows for managing AI agents, specifically how to use formulas and triggers to prevent an AI from overwriting manual human edits. They demonstrate using "last modified" fields and custom checkbox logic to create a "global stopper" for automations. They also dive into the various output types available for field agents, including single and multiple select fields, number formats, and image analysis for tasks like extracting data from receipts. Finally, they demonstrate the utility of web-searching for images, such as company logos, and share a practical example of using AI agents to research hotel amenities and reviews for travel planning. ⏱ In this cut: 01:05 — Protecting human edits from AI overwrites 02:51 — Using formulas to control AI triggers 11:44 — Exploring AI output types and image analysis 12:36 — Finding company logos via web search 16:23 — Real-world use case: AI for travel researchThis is a clip from S25-E07 of the BuiltOnAir Podcast.

Artificial intelligence has quickly evolved from a productivity tool into an active participant in many organizations' daily operations. As organizations give AI greater autonomy within their environment, they're also granting them access to sensitive systems and data. That creates a new challenge for IT and security teams: How do you enable AI to assist productivity without compromising security? Rob Allen, Chief Product Officer at ThreatLocker, joins Business Security Weekly to discuss how zero trust principles can prevent an AI breakout. Rather than relying solely on the AI tool's built-in safeguards, organizations can choose to enforce security policies using ThreatLocker. Rob will discuss how ThreatLocker can enforce AI boundaries through Allowlisting, Ringfencing™, Endpoint Firewall, and Web Content Control, with Community Policies that govern what agentic AI tools can run, do, access, and reach. Segment resources: - https://www.threatlocker.com/blog/the-principle-of-least-privilege-for-ai-agents - https://www.threatlocker.com/blog/applying-threatlocker-to-agentic-ai-tools - https://www.threatlocker.com/blog/why-the-five-eyes-alliance-sees-zero-trust-as-the-best-defense-against-agentic-ai-threats This segment is sponsored by ThreatLocker. Visit https://securityweekly.com/threatlocker to learn more about them! In the leadership and communications segment, 3 cybersecurity issues that should keep every CEO awake at night, You Don't Find Your Leadership Style. You Mentor Your Way Into It., Cybersecurity Starts With Communication – And We May Be Getting It Wrong, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-461

In Episode 111 of the Cybersecurity Readiness Podcast Series, Dr. Dave Chatterjee is joined by Bruno Lecoq, CEO of BEMO, to examine the gap between executive intention and operational security reality in small and medium-sized organizations, and what it costs when resource trade-offs, unclear ownership, and optimism bias quietly undermine programs that look sound on paper.Drawing on his nearly sixteen years at BEMO and twenty years at Microsoft before that, working with companies of 10 to 1,000 users across multiple verticals, Bruno argues that the recurring failure point is rarely the tools; it is the absence of clear ownership, aligned resources, and sustained discipline. The conversation moves through why IT alone cannot own security, how the function's reporting line shapes whether it is treated as a cost center or a strategic capability, and a detailed walk-through of a SOC 2 "fire drill" scenario that Dr. Chatterjee analyzes through his Commitment–Preparedness–Discipline (CPD) Framework.The discussion also covers how BEMO uses AI-driven log review and unannounced tabletop exercises to keep clients honest about their true readiness, why Bruno turns away prospects who treat compliance as a paperwork exercise rather than a genuine security commitment, and why he believes cybersecurity and compliance, approached the right way, are a competitive advantage rather than a cost of doing business.To access and download the entire podcast summary with discussion highlights - https://www.dchatte.com/episode-111-closing-the-gap-between-leadership-intention-and-operational-security-reality-a-cpd-lens-on-smb-cybersecurity-governance/Connect with Host Dr. Dave ChatterjeeLinkedIn: https://www.linkedin.com/in/dchatte/ Website: https://dchatte.com/Books PublishedThe DeepFake ConspiracyCybersecurity Readiness: A Holistic and High-Performance ApproachArticles & Cases PublishedChatterjee, D. (2026). The Cryptographic Reckoning: Why Quantum Readiness Begins with Agility, Not Algorithms, The INFORMS Analytics Magazine, June 26, 2026Chatterjee, D. (2026). The New Digital Fragility: How AI-Enhanced Cyber Threats Are Reshaping Operational Resilience, The INFORMS Analytics Magazine, March 4, 2026Chatterjee, D. (2026). Root: Automating the Remediation Gap, Ivey Publishing, Jan 7, 2026.Ramasastry, C. and Chatterjee, D. (2025). Trusona: Recruiting For The Hacker Mindset, Ivey Publishing, Oct 3, 2025.Chatterjee, D. and Leslie, A. (2024). “Ignorance is not bliss: A human-centered whole-of-enterprise approach to cybersecurity preparedness,” Business Horizons, Accepted on Oct 29, 2024.Isik, O., Chatterjee, D., and Lourenco, D.A. (2024). “Getting Cybersecurity Right,” California Management Review — Insights, Accepted for Publication, July 8, 2024. Chatterjee, D. (2023). “Mission critical – How American Cancer Society successfully and securely migrated to the cloud amid the pandemic,” I by IMD, March 13, 2023.Chatterjee, D. (2022). “Preventing security breaches must start at the top,” I by IMD, September 28, 2022, Institute for Management Development, Lausanne, SwitzerlandChatterjee, D. (2022). “Making Cybersecurity Readiness Mainstream,” Executive Blog Post, NETSPI, March 1, 2022Benz, M. and Chatterjee, D. (2020). “Calculated Risk? A Cybersecurity Evaluation Tool for SMEs,” Business Horizons, available online from May 4, 2020Chatterjee, D. (2019). “Should Executives Go To Jail Over Cyber Attacks,” Journal of Organizational Computing and Electronic Commerce, Vol 29, Issue 1, pp. 1-3.Abraham, C., Chatterjee, D., and Sims, R. (2019). “Muddling through cybersecurity: Insights from the U.S. healthcare industry,” Business Horizons, July 2019.

8.18.26 Hour 2, Jordan Dajani from CBS Sports joins The Kevin Sheehan Show to analyze how he believes the Commanders stack up in the NFC East, which team will win the division in 2026 and goes around the NFL to dive in on preseason storylines. Kevin Sheehan reacts to the story on the Lakers sale, but Jeanie Buss is not going down without a fight to honor her father's wishes.

Cross-contamination happens more often than you might think — but preventing it doesn't have to be complicated. In this episode, discover simple ways to reduce your risk of foodborne illness and make your kitchen a safer place to prepare meals. To support more content like this, and get valuable benefits and discounts, become an AARP member at aarp.org. And don't forget to subscribe for more tips and tricks to help make your life a little easier — and happier!

This podcast episode discusses the impact of systemic inflammation, insulin resistance, and hormonal imbalances on brain health. It emphasizes the importance of addressing fundamental metabolic issues before resorting to brain biohacking. The episode provides insights into the role of microglial cells, neurovascular uncoupling, blood sugar control, and thyroid and reproductive hormones in brain health.TakeawaysInflammation, insulin resistance, and hormonal imbalances are key factors affecting brain health.Addressing fundamental metabolic issues is crucial before considering brain biohacking.Chapters00:00 Introduction to Brain Health and Wellness03:10 The Impact of Inflammation on Brain Health08:13 Metabolic Factors and Brain Function11:04 Microglial Cells and Neurovascular Uncoupling21:59 Blood Sugar Control and Brain Health27:20 Thyroid and Reproductive Hormones in Brain Health38:15 Restoring Central Nervous System CapacityWork with me 1-on-1 to find your unique Root Cause Disruptors and define your own personal Journey, visit https://www.drnoseworthy.com/contact to request an initial consultation. All requests go straight to my Inbox.LINKS▶️ See the full video version on YouTube.

Today's episode explores how burnout shows up across heart, soul, mind, and strength—especially for those in ministry and caregiving roles. Rebecca Maxwell and Jonathan Vinke identify early warning signs like poor sleep, emotional numbness, irritability, loss of motivation, and physical symptoms. Burnout differs from ordinary fatigue, and it's important that we don't ignore the signs. Gain practical steps for prevention and recovery: learn to set boundaries, pursue restorative practices for body and spirit, seek community and professional help when needed, and remember that healing takes time and intentional stewardship of your life.   For more information on Rebecca Maxwell and her practice, please visit Jesusandyourmentalhealth.com 

Learn more about Refrigeration Mentor Customized Technical Training Programs at www.refrigerationmentor.com/courses Join the Refrigeration Mentor Hub here This is the first of a 2-part episode in our "CO2 Unfiltered" series covering what causes compressor failures and how to prevent them, featuring Jonas Linnemann, Vice President of Technology at Vitalis. Jonas explains why oil return is more challenging in CO2, and covers topics like primary vs secondary oil circuits, separator efficiency and compressor oil carryover.  He also shares practical service and maintenance tips that will help refrigeration techs prevent recurring compressor failures. In this episode, we discuss: (01:34) Why Oil Management Matters (03:34) Booster System Basics (04:47) Common Oil Misconceptions (09:20) Viscosity and CO2 Solubility (15:21) Primary vs Secondary Oil Circuit (19:59) Reading P&IDs (23:16) Oil Return Overview (24:57) Strainers and Maintenance (27:19) CO2 Separator Cartridges (29:03) Differential Pressure Checks (32:39) Oil Carryover Troubleshooting (36:40) Cartridge Blowout Warning Signs (40:57) Contamination in Regulators (44:34) Cartridge Change Procedure (47:35) Evacuation and O-Ring Tips Helpful Links & Resources: Jonas on LinkedIn Vitalis Episode 390. CO2 Oil Management (Part 1): Lubrication Basics, Oil Selection, Testing, and Troubleshooting with Alessandro Silva of Bitzer Episode 330. Oil Issues in Refrigeration Systems Episode 124: CO2 System Oil Management: Insights from Adam Chapman of Westermeyer Industries

Topical | Acts 8:26-39

In this episode of Derms and Conditions, host James Q. Del Rosso, DO, welcomes Andrea Murina, MD, to discuss the early recognition and management of scarring alopecias. Their conversation explores why these conditions can be missed in their earliest stages, the clinical clues that help distinguish scarring from nonscarring alopecias, and approaches to diagnosis and treatment aimed at preventing permanent hair loss. Dr Murina reflects on how outdated perceptions that little could be done once scarring occurred motivated her to focus on these conditions. She explains that recognizing patients earlier in the disease course provides an opportunity to intervene before irreversible follicular destruction develops, setting the stage for a discussion of the timing, patterns, and diagnostic tools that support earlier diagnosis. They review the major categories of cicatricial alopecia, highlighting the relative ease of identifying neutrophilic disorders such as folliculitis decalvans and dissecting cellulitis, while noting that early lymphocytic disorders such as central centrifugal cicatricial alopecia (CCCA) and frontal fibrosing alopecia may initially resemble more common nonscarring conditions. Dr Murina next overviews the value of trichoscopy. She explains how dermatoscopic findings, including perifollicular scale, telangiectasias, follicular plugs, and changes in hair diameter, can help distinguish scarring from nonscarring alopecias, guide biopsy decisions, and improve biopsy yield by identifying the most inflamed follicles for sampling. The episode also reviews treatment strategies for common scarring alopecias. For CCCA, Dr Murina typically begins with topical and intralesional corticosteroids, adding doxycycline and antifungal shampoos when appropriate. For lichen planopilaris, she follows a similar approach while incorporating systemic therapies such as hydroxychloroquine, finasteride, or dutasteride. The discussion concludes with discoid lupus erythematosus, where she emphasizes that early treatment with high-potency topical and intralesional corticosteroids, along with appropriately dosed hydroxychloroquine, can produce meaningful improvement. Tune in to the episode to hear Dr Del Rosso and Dr Murina share diagnostic pearls, trichoscopic clues, biopsy strategies, and treatment approaches that can help clinicians identify scarring alopecias earlier and intervene before permanent hair loss occurs.

in this episode, I talk about one of the BIGGEST things that's stopping you from being FULLY confident! you know I LOOOOVE talking about the mindset behind confidence... but this piece is just as important. JOIN PUT YOURSELF ON THE PEDESTAL [free 3-day experience] ♥︎ 

Nothing will make your stomach drop like sending a text message to the wrong person. You're undeniably guilty, and as the panic sets in, your mind races to come up with an explanation for the receiver of your misdirected message. Today, Jaci and Chelsey are reading some of your WORST accidental texts, and a few are truly unrecoverable. Imagine sending suggestive messages to your in laws, or even worse, pictures of the real deal. There's an accidental request to snuggle sent to a football coach, in laws exposed in the family group chat, and someone requesting a sample of a pastor's “sermon,” or at least that's what they meant to type. Double check that contact name before you hit send, ladies!!!! TIMECODES !!!CATCH UP: 0:08TEXTS: 17:15// WHAT WE ARE WEARING/MENTIONING // https://shopmy.us/shop/whatwesaidpodcast SHOP OUR MERCH: https://shop.dearmedia.com/collections/what-we-said !!! FOLLOW US !!!INSTA: @WHATWESAID, @JACIMARIESMITH, @CHELSEYJADECURTISTIKTOK: @CHELSEYJADECURTIS, @JACIMARIESMITHYOUTUBE: WATCH WHAT WE SAID, CHELSEY JADE, JACI MARIE// SPONSORS //Square: Get up to $200 off Square hardware when you sign up at square.com/go/WHATWESAID. Cort: Rent today at cort.com/podcast. Opill: You can find Opill at most major retailers, in-stores and online. Preventing pregnancy is as easy as Opill. Read all label information. Use as directed. WhatNot: Download the Whatnot app today and get free shipping on your first order. Just search Whatnot in the app store and start scoring amazing deals.Chewy: Right now you can save $20 on your first order and get free shipping by going to chewy.com/whatwesaid.Dunkin': Head to Dunkin' today and find your favorite Refresher!Please note that this episode may contain paid endorsements and advertisements for products and services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode.Produced by Dear Media.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This program was broadcast on Friday August 7, 2026. Here are the main stories… The UK's 'PREVENT' strategy: Preventing or stoking extremism? Cambridge University's DEI debacle vs Bristol U's persecution of David Miller Iran: War Fatigue and Trump's Strait nightmare Nukes: Increasing in US and UK Leipzig Drone deception: Fallout from 'Russian' incident. With special guest Dirk Pohlman, journalist author and filmmaker Wes Streeting: Under fire from fraudster linked donation Online Safety: Meta in trouble Cost of Living and War: People are now noticing the connection In Case You Missed It: Basil's weekly news round-up Hosts Patrick Henningsen, Mike Robinson and Basil Valentine with Friday's end-of-week news round-up. 

Fitness & wildfire smoke. Questions about the CrossFit Games. What's the point of box jumps? Preventing butt rash during sit-ups Trap bar deadlifts vs conventional Did I ever train with Greg Glassman? The best shoes for training. Getting your first Ring Muscle-up Training when you weigh over 300 lbs. How to enjoy "Side Quests" without overtraining.

When the lack of money is causing you pain, starting to relate to money itself as the problem or the villain will pull you out of reality and it will cause you to resist the very thing you need more of.