Podcasts about use chatgpt

Are you using ChatGPT to create graphics for your business? I get it, it feels like the dream. You tip in your details, out pops a flyer, and you get to move on with your day. But in this podcast, I'm sharing something that might make you rethink that workflow... because what AI is spitting out for you might actually be quietly pushing your clients away. I've been doing some anecdotal research on this: running Reels, reading comments, talking to people... and what came back genuinely surprised me. Everyday people, not just designers, can spot an AI graphic. And when they can? They're less likely to trust the business, engage with the content, or even show up to the event being promoted. That's a big deal. This isn't about going anti-AI. I use AI too (mostly for writing, because that's not my strongest suit). But I do want to share why using it for your graphics specifically comes with some real costs, and what I'd actually love for you to do instead. Free Canva Masterclass: Design Tools to $100k

The Expert Authority Coach Podcast Presents: How To Use ChatGPT and AI Without Losing Your Humanity  Christine Blosdale interviews David Dean, an author and enterprise AI strategist, about how AI has long shaped behavior behind the scenes and is now commoditized through language-based tools.  Dean argues AI “industrializes” existing organizational behavior, so dysfunction scales unless leaders use AI for organizational self-realization, governance, and authentic leadership.  They discuss prompting, AI as a symbiotic partner lacking lived experience, ethical risks like voice scams, and the need for regulation, transparency, and intent. Dean warns that communication data can become an e-discovery “behavioral record” for companies.  They also explore practical future uses like localized AI for home inventory and workplace status updates. LINKS MENTIONED: The Expert Authority Quiz - http://ExpertAuthorityQuiz.com Get David Dean's Book An Inbox Between Us - https://amzn.to/4qc9gSx David Dean's Website - https://inboxbetweenus.com The Expert Authority Coach Website - http://www.ExpertAuthorityCoach.com -------------------------- 00:00 Expert Authority Quiz 00:53 Podcast Welcome 01:42 Meet AI Strategist 03:25 AI Before ChatGPT 06:09 AI Mirrors Culture 09:00 Prompts and Partnership 12:07 Humans Still Matter 14:19 Energy and Data Centers 19:55 Future of AI 21:51 Behavioral Record Risks 24:51 Limits of AI Controls 25:42 Intent and Responsibility 27:49 Bad Actors and Deepfakes 29:26 Transparency and Governance 31:43 IP Theft and Vibe Coding 34:11 AI as a Mirror 37:12 Building an AI Relationship 39:14 Local AI and IoT Ideas 41:39 Push Button AI Products 43:17 Voice First AI Workflow 44:57 Storytelling to Find Signals 47:15 Wrap Up and Where to Find David 48:38 Final Thanks and Call to Action #chatgpt #ai #artificialintelligence #technology 

Any guy can use ChatGPT to figure out their life, yet that's only half the challenge. I outline the other half in this episode.

AI can make resume writing faster—but only if you know how to use it strategically. In this listener-favorite episode, learn how to use ChatGPT to write, tailor, and improve your resume so it actually stands out (not sound generic).In this episode, you'll learn:How to use ChatGPT to write stronger, more results-driven resume bullet pointsHow to tailor your resume to a specific job description in minutesHow to create a compelling professional summary and cover letter using AIShow Notes:Weekly Newsletter Sign-Up: http://bit.ly/37hqtQW24-Hour Resume Makeover: https://careercontessa.teachable.com/p/resume-makeover-template/ ChatGPT Cheat Sheet: https://careercontessa.teachable.com/p/chatgpt-cheat-sheet Sponsors:Head to Superpower.com and use code CONTESSA at checkout for $20 off your membership. Get 100+ biomarkers tested every year, plus a personalized health plan and on-demand care team. Detect early signs of 1,000+ conditions. #superpowerpodDownload Cash App Today: https://click.cash.app/ui6m/f010o9zo #CashAppPod Cash App is a financial services platform, not a bank. Banking services provided by Cash App's bank partner(s). Prepaid debit cards issued by Sutton Bank, Member FDIC. Cash App Visa® Debit Flex Cards issued by Sutton Bank, Member FDIC, and The Bancorp Bank, N.A., pursuant to a license from Visa U.S.A. Inc. See terms and conditions for the Sutton prepaid card at cash.app/legal/us/en-us/card-agreement, for the Sutton debit flex card at cash.app/legal/us/en-us/debit-flex-card-agreement-sutton and for the Bancorp debit flex card at cash.app/legal/us/en-us/debit-flex-card-agreement-bancorp. Savings and Offers provided by Cash App, a Block Inc. brand. Offers may not be affiliated with third party merchants. Parents and legal guardians can open a managed account for kids 6-12. Cash App will pass through a portion of the interest paid on your savings balance held in an account for the benefit of Cash App customers at Wells Fargo Bank, N.A., Member FDIC. To earn interest on your Cash App savings balance, you need to have sponsor approval. Exceptions may apply. Savings yield rate is subject to change. Visit cash.app/legal/podcast for full disclosures.Get 40% off select Lola Blankets products at Lolablankets.com by using code CONTESSA at checkout. Experience the world's #1 blanket with Lola Blankets.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Dead On Arrival: What was just Hype and what was just wrong Timing? Some technologies and products get over-hyped, and never seem to come to fruition? Some just come to fruition, but years or even decades later? In this episode of Tech Deciphered, what is Dead On Arrival versus just wrong timing Navigation: Intro The Fork Cold Open General Magic The Metaverse Dead on Arrival The soon to be Resurrected… 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 SchmittIntroduction Welcome to Tech Deciphered episode 78, Dead on Arrival. Was it just hype or just wrong timing? In this episode, we are going to discuss two different types of businesses that as an investor, as an entrepreneur, you want to think carefully about. Looking back, you want to understand better what happened. If we take dead on arrival, we’re talking about businesses, technologies that maybe the tech work fine, but actually no one cared about it, no one wanted it. It’s really a mismatch in terms of what consumer want versus what you are trying to deliver. It’s a classic example of a solution finding for a problem. On the other hand, will it happen but not like that, not now? It’s a type of business where we were too early. We tried to make it work, but actually the technology is not ready now, but it might become ready in the future. As an entrepreneur, as an investor, obviously, you want to make sure you are not in one of these two technologies, one of these two categories. But it’s really a useful lesson to learn which situation you might be in because it will help you make better decision and pick better industries going forward. Nuno, what’s your take on this tough analysis?Nuno Goncalves PedroYeah, in hindsight, everything looks like, “Oh, of course, this wasn’t meant to work,” etc. But here we’re going to take a stab, as you mentioned, at things that are just wrong timing. They might have failed miserably in the past, but they might work in the future. The Fork To have this stake on the ground approach to it, as we’ve had in previous episodes, of defining exactly what we think will happen, but just not like that, versus the dead-on-arrival, which is a little bit more of a hardcore view on it. To your point, we want to really split between those two things because in some ways people are like, “Well, are we ever going to go and have different ways of interacting, for example, in terms of input and output, like with glasses or things like that, that really scale to become pretty pervasive?” We probably would agree that, “Yes, that will happen”. Maybe not in the way that we’ve anticipated until now, and certainly it’s going to take longer than we’ve expected. In some ways, the “will happen, not like that” is a little bit like Amara’s law or Nuno’s law, as referred to in the past. We tend to overestimate the speed at which we get to a revolution, underestimate impact. The “will happen, not like that” will probably fit into that. They will have probably bigger impact than we thought they would, but they will just take longer. Therefore, the solutions we’ve had until now are not great solutions. Whereas the dead-on-arrival, we’re saying, “Hey, we don’t think actually this works.” It’s to your point, not solving a problem that actually needs to be solved, or it’s solving it in the wrong way. Yeah, it’s basically an attempt to really frame, if you’re an entrepreneur, if you’re a venture capitalist, if you’re someone who is an angel investor and is looking at the market right now, what things should you put some real money and real resources, real time behind versus not, and really share that with you guys: our audience.Bertrand SchmittCold Open I always like to go back to a company called General Magic, a company that was legendary in Silicon Valley, spun out of Apple in the 1990s. There was even a movie made about General Magic. It’s a company that tried to basically build the first modern smartphone with touchscreens, app ecosystem. The only issue was it was years before the technology existed to support it. But Nokia at the time was less ambitious and more practical with what the technology was able to do at the time. But what’s interesting with this company is that obviously the smartphone was coming, just took 10 more years, 15 more years. Interestingly enough, some of the people in the team ended up being very successful in that exact space. Tony Fadell, for instance, who ended up creating the iPhone, co-create at least, and Andy Rubin, who end up building up Android, selling that to Google and leading the charge with Google Android.Nuno Goncalves PedroYeah, a very successful team. Tony Fadell, obviously, later on did Nest as well. Megan Smith, who was later the Chief Technology Officer of the US. A lot of people that came out of it that did a lot of important things. To be honest, I think a lot of the technology that was developed that was in some way a capacity or that are reused later on by some of these team members. I’m not saying they were infringing on any IP, but definitely there was a lot of reuse of tech. But it was too soon, right? They were doing something that was truly ambitious too soon. But a lot of these principles, a lot of these things ended up manifesting themselves, and particularly in the iPhone later on and in that deployment. Another such example is actually the metaverse. We did two episodes back in the day, a long time ago, on the metaverse. We debunked it a little bit. Back then, I think it was a very nuanced debunking, if I recall it correctly, Bertrand, because we were saying, “Hey, it’s going to happen in some ways, but it’s an evolution, not a revolution,” not in the way that we saw definitionally. We were huge fans of Matthew Ball and his analysis around media, but somehow we disagreed, I remember, with his definition of what the metaverse is and how it will look like. There’s no doubt that there’s going to be a metaverse in the future, probably metaverses in the future before there’s any given unification. In those metaverses, we do believe. But this whole hype cycle around metaverse and what’s happening clearly didn’t work out well, as proven also by all the write-offs done by Meta on their metaverse stuff. That much must have hurt. It’s related to AR and VR as well and to the enriched reality positioning of a lot of these technologies, which we’ll talk about later. But, again, it was probably something that’s going to happen. It’s going to happen likely in a different product manifestation as the one that was anticipated by a lot of the pundits that opined on what’s happening around metaverse in the future. But it’s going to happen. It’s just going to take longer. It’s going to probably come from angles of entry that are likely not what people had anticipated earlier on. Maybe it’s from gaming, maybe from something else. But definitely it’s going to happen.Bertrand SchmittYes, and you could argue that Apple did a similar mistake with the Vision Pro. I think the Vision Pro is the worst launch of an Apple product. When we say launch, it’s been three years maybe?Nuno Goncalves PedroSince the Newton, maybe?Bertrand SchmittYes, that’s my point. You have to go back a really long time to have such a disastrous launch. I think for me, it’s very interesting because it’s really a category where on one side there is a metaverse of some sort. You should argue if you are just using Twitter, or Facebook, these are some parallel universe in parallel to your real life. But the full on metaverse where you need some extra super heavy glasses to make it work, that simply has not worked. Don’t get me wrong, there are some super small, narrow cases where your heavy VR glasses makes sense for some training, for some simulation, for some light gaming. But given the weight, the disconnection from the real world, it has really never taken fire. Even at cheaper price like Meta was able to do, at more expensive price, much higher quality like the Vision Pro did. It looks like people have an issue with putting heavy glasses on top of them. We’ll talk later about the other side: AR glasses. But the traditional metaverse, heavy glasses, VR glasses, yes, it’s not feeling right, and I don’t think it will ever be right. It needs a different form factor to go at scale.Nuno Goncalves PedroDefinitely fundamental shifts on the metaverse. Just a quick reminder, Meta actually changed their name because of metaverse.Bertrand SchmittYes. Nuno Goncalves PedroIt’s not just that they’re writing off the investments, it’s their name is apparently wrong. It didn’t really happen in that way. You are saying that this persistent embodied virtual world, which was the early definitions of what a metaverse was, didn’t really happen until now. It might happen at some point, but not in that way. But, obviously, a lot of the enablement layers are still work in progress, right? Real-time 3D, presence, avatars, all of these things are moving on. A lot of these enablers will be ready once there is a time where these technologies and businesses that are fundamentally anchored around these technologies will emerge. It’s, again, right components, wrong product alignment, but at the same time, it will happen, just not yet.Bertrand SchmittAgain, I think we’re going to face a split of a virtual reality light that you can call AR with very light glasses that are not a pain to wear, that are more limited, especially today or the next 5 years. The VR glasses that will stay a niche product that are useful for some use cases. Do you want to do a flight simulation? You want to do military training? There will be use for that. But beyond that, it’s more limited. We forgot to talk about the Google Glass. This one was an early, early AR glasses. But, again, here we go back to the capabilities. Simply, we were not there at the time.Nuno Goncalves PedroDead on Arrival We’re moving to Dead on Arrival. What things do we think are relatively dead on arrival? We’ll be nuanced on a couple of these aspects. Not everything is totally dead on arrival. But maybe let’s start with a good one, which is some of the crypto summer promises, particularly around NFTs, non-fungible tokens, and the decentralization of everything, the tokenization of everything. That didn’t quite work the way people thought it would. A lot of people were very happy for a period of time that they had some NFT that was worth a ton of money. Good for them. I hope they sold it back then. Some did actually, fortunately for them, but most of them did not. As an asset and the tokenization element, we’re not questioning that tokenization itself doesn’t make any sense. But from my perspective, a lot of the elements of tokenization plus the tokenization of everything don’t make necessarily imminent sense. I think we’re going to have a world that not everything is going to be tokenized, and a world where, to be honest, having the latest ape token as an NFT is maybe not something I really need. It’s dead on arrival in some ways. What do you think, Bertrand?Bertrand SchmittIt feels like it’s a tale of two worlds. On one side, there was clearly exuberance and bullshit. All these cryptocurrencies that make no sense, have no values. The NFTs are the same: no values, no sense, no logic in them. At the same time, we can see that Bitcoin, Ethereum, and few others were significant products, invention, that have a current total market value that is significant. I would say we can see that step by step, little by little, there is some tokenization happening, but it has been much more narrow than what was initially thought, expected. But it’s happening step by step. I think there is value in tokenization, but definitely not as much value as people expected. I think for one simple reason: it’s very expensive to set up in the sense that it doesn’t work so well, actually. It requires a lot of computing power for stuff that might not justify it as simple as that. Why do you want to replace a very efficient, superfast database by something slow, expensive to maintain? Why? You need to have real reason for that. I think in most situations, there was not a real justification to make that switch. I think, again, there is a niche for tokenization. It’s getting used. Obviously, there is stablecoin as well that are working and provide value. But definitely, the use cases have narrowed. The success stories have been few and far between. It’s definitely a space, but I don’t think it has lived up to the expectations. The expectations were simply quite insane in terms of what to expect, and it failed to achieve that. I don’t think it qualifies as a true revolution. It has been successful again in our situation: in Bitcoin, in Ethereum, in some tokenization. But beyond that, it was not the dramatic change that people were picturing.Nuno Goncalves PedroYeah, it’s been successful and there is a security, in this case, a currency of types, that links to the value of that specific network and the utility of that specific network. But on this case, in particular, the NFT stuff, I think there were two core premises that were very valuable about it. One was the premise of digital collectibles, the element itself being collectible and the fact that I have a unique one was only minted one. It’s a unique thing out there. I think at some point people forgot that actually digital collectibles are not as valuable as people think they are. Physical collectibles are more valuable. The reason for that is just human nature. I want to have something in physicality. I want to have something that I can show people, etc, that has a physicality to it. Digital collectibles, I think there was a problem fundamentally in part of the articulation of NFTs that reside in the value of digitization of these collectibles in and of themselves. I think that was part of the problem. The second problem was really the notion of provenance, the notion of certification, the notion of “this is what it says it is, and nobody can say this is something else.” This notion of provenance. That, I think, fits more into the point you were making, which is the point around use cases. This doesn’t fit all use cases. The provenance piece and the certification piece doesn’t fit for all use cases. Probably it might fit actually even more for actual physical assets where you want to have a certificate, that thing is what it says it is, but it’s actually maybe a physical asset rather than a digital asset. Again, lo and behold, it doesn’t apply to all the use cases that relate to provenance. I don’t think we need to tokenize all the provenance ledgers in the world for this to be working well. Again, it was a little bit of an overreach. In some ways, all these players were very happy. There was a lot of bullshit. To be honest, this is an area that I do think there was actual active fraud. All due respect to a lot of the players in the market, but there was active fraud. Honestly, there was bullshit.Bertrand SchmittI agree with you. I was going to say that it’s one of the rare sector in technology where I think frauds, scams were prevalent. Yes, you might have some shitty startups in general and stuff, and there might be fraud. I think true fraud is rare. True scam is rare. But here for NFTs, for cryptocurrencies, that was the majority you could argue. That’s the part that I never really liked in all that industry. If you look at NFT, personally, I never understood the concept. For me, it made simply no sense because, yes, you can say, “Oh, I have created this rare digital token.” But sure, so what? Who cares? Who cares? You can have hundreds, thousands, millions of unique digital tokens. How does it matter? What’s the use case? What’s the connection? You can show it on your screen, but then how is it unique anymore? It’s not like people have to come to your house and check stuff on site or something like physical art. No, not at all. I don’t know. I think it was surprisingly true bullshit. Again, I’m still a believer in Bitcoin. I think there is true logic to have a separate virtual digital currency. But you don’t need hundreds of them. You just need one, maybe two for some variation. The same for tokenization, it doesn’t need to happen everywhere. Just need to happen where there is really strong real logical value. Beyond that, there is no point.Nuno Goncalves PedroYeah, makes sense. Maybe moving to our next one. I think we discussed this in a previous episode, which was the whole 3D TV stuff. We just don’t think that’s the product, right? It’s not going to be a 3D TV. I believe when we discussed this in the episode—I don’t want to lie too much—but I believe that’s what we came up with… It looks a bit more holographic or the manifestation comes through other mechanisms like glasses, etc. But we thought it was just dead on arrival. Nobody wanted to have glasses on the couch to watch the 3D TV, but also the 3D TVs themselves they tried to develop were very holographic, were super clunky and very heavy. In some ways, I think TV manifestation somehow is not a great manifestation for this. I put it on the dead-on-arrival pile. I have one, just to be clear. I still have one.Bertrand SchmittYeah, but it’s a weird one because if you remember, it suddenly happened. I remember being shocked as a consumer. Suddenly everyone talks about 3D TV. In a few months, 3D TVs are all out everywhere. Then after a few years, no one bothered to keep adding that because consumers didn’t care. I think one issue was, I think it has only worked with Blu-rays. I don’t think any streaming service supported that. With the rise of streaming, that was certainly a pretty big issue in the first place. Interestingly, in the movie theaters, do we still have movies being shown in 3D? I think we still have a few, but it’s really few and far between the movie theater.Nuno Goncalves PedroYeah, IMAX won on that format, the high-end format, IMAX won, not the 3D thing.Bertrand SchmittBut, yeah, if you’re on the TV at home, you don’t want to bother. Maybe if you’re in the movie theater, more high-end experience, you are willing to wear special glasses. I think it makes sense. I think, I guess at home, we are just too busy doing multiple things at once. Rarely sitting all around 2 hours for a movie, so you watch your phone, you check on something else. You don’t want to have these glasses on top that block you from the rest of what’s happening at home.Nuno Goncalves PedroYeah, it just didn’t work. I’m not sure it will work in any case, so we’ll see. But definitely, I don’t think that’s the right form factor.Bertrand SchmittIt technically worked, but practically, it was not accepted by consumers.Nuno Goncalves PedroLet me rephrase. I think it was a solution to a problem nobody thought they had. The execution of the product was the wrong one. It’s like that’s not what people wanted. Maybe we do want some 3D immersive experience, but that’s not the 3D immersive experience that we want, not manifested like that in effect, with its limitations, etc.Bertrand SchmittI want to say that we are not denigrating some of these experiments. Me, I still remember putting a Vision Pro and watching some content that is natively created by Apple for the Vision Pro. It’s an amazing magical experience, truly. But at the same time, I’m always worrying to have to think I’m going to spend 30 minutes putting my Vision Pro on my head. It’s heavy, it’s painful. Again, we go back to, I’m disconnected from everything else, and I don’t like that.Nuno Goncalves PedroWhen there was real technological development, like the case of 3D TVs, that technology development may have served other purposes. Again, we applaud those that put the money where their mouth was, the companies, the individuals that wanted to move forward some of these technology stacks, maybe less so the people that just decided to create NFTs for the sake of it with apes. No attack on those guys specifically, but just to create a specific view on that. But there’s a lot of stuff we’re talking about today which is actually great technological development. There’s stuff that came out of it that is very, very valuable technological development. Maybe to our next one on mobility, physical mobility. The Segway. Everyone’s like, “Oh, this is going to change how we move around the world, in particular for shorter distances, etc.” Well, apparently no. Apparently, it’s not super intuitive. There are still Segways out there for use by police forces, tours, and all that stuff. People say, “Oh, it’s…” No, well, it never scaled. It wasn’t changed. It didn’t change how relatively short local mobility was going to be done. I think part of it is actually the problem with the product. The product is not as intuitive as people thought it would be, and it has other issues around that in terms of security and safety. If you’re going to have a device or something that moves you around, what’s the minimum-accepted level of security that you would have. The fact that you have to incline to move it is actually not super as initially some probably people thought it’s actually not as intuitive as some might have thought it was. I think it’s a dead-on-arrival play. The vehicles of the future, I’m not sure, look like that at all. Happy to eat my words down the road, but I don’t think so.Bertrand SchmittYes, and I remember the massive hype at the start of this product. They were hiding it, but still telling you, We have seen it. That’s true. It’s going to totally change how cities are planned. I mean, the level of hype and bullshit was insane before the launch of the product and before anyone outside of a few knew what it looked like. Then we saw what it looked like, and it was on one side, an engineering marvel, the self-stabilization system was new. I mean, very few people had seen something like this before. At the same time, as you said, the issue was what happens if it loses battery? What happens if you fall from it? Quite frankly, if you look at today’s modern electric scooter, you have 95% of the value of a Segway without any of the downsides. You don’t need to learn a new way to do things. If you lose battery, it still works. I guess you can still push it. It’s not too expensive. You don’t have massive computers to just make it work. You don’t have massive robotics. It’s clearly an impressive engineering solution. But the exact example of a solution to a problem people didn’t have, when ultimately a much more simple and elegant solution was there for people who care. To be clear, you still could use a regular bike. The alternative was still your regular bike. But now you have electric scooters that are a clear, closer alternative, I guess, in spirit to what was supposed to be the Segway. Sometimes, let’s be careful. Overengineering might not be the answer.Nuno Goncalves PedroEven scooters, which are, to be honest, I would argue a much easier philosophical view of how mobility should be done and a much easier form factor, so to speak, in terms of mobility, even those won’t have wide adoption to everyone. It’s not like everyone’s going to use a scooter. The bar for a scooter is much less than a bar for a Segway.Bertrand SchmittYes. I think in a way, the electric scooter is showing us in some ways that the limit of the dream is that even well-executed, even cheap, even easy to use, even low-risk in a way, there is still only so much that people are willing to use it because it’s a pain to bring with you everywhere. Actually, in some ways, you could argue it has only worked with this distributed platform, like lime and others that let you take one and drop it when you are done using it. But that was not a model that was workable for the Segway. I totally agree. You could argue that bikes are still the gold standard or now electric bikes are still the gold standard for who want that level of mobility.Nuno Goncalves PedroWell, the next one is to be a favorite of, I guess, everyone that didn’t invest in them, which is Juicero, which was the machine that basically created Juices out of squeezing a bag. I’m going to be nice here to… There were a bunch of well-known investors. They raised, I think, 120 million or something like that.Bertrand SchmittThat’s insane.Nuno Goncalves PedroIt is insane. But maybe the vision was not that vision. It was something grandiose and the complexity around dealing with liquids and whatever. I’m not really sure we didn’t pass or invest on the company.Bertrand SchmittBig old juice bags.Nuno Goncalves PedroMaybe. You’re being facetious. Anyway, I’m not trying to attack the guys who actually invested in this, the investors that put money into this. But it was basically one of these examples that we’re trying to solve a problem that didn’t exist. It’s like a solution for a problem that doesn’t exist. I can just squeeze a bag of concentrated thing and make a juice. I can do something around the juice. As I said, maybe the big vision was well beyond that, and I’m not sure many of us will ever know what the big vision actually was. But yes, it was a solution, a $400 machine to a problem that nobody really had. That didn’t work.Bertrand SchmittI think the most crazy part of the story is that the business exploded when there was this Bloomberg reporter that showed that you could squeeze the bag with your hands without a machine and get the same juice. That’s pretty insane. That’s just so unbelievable.Nuno Goncalves PedroThe funny part of the story is MSCHF, this company that does all their on-point, slightly artistic, whatever, one-off, drops, etc, etc. Shout out to Gabriel. Gabe Wally, who was the founder there. This is funny. They actually did a collectible series of figurines of that startup toys, of which Juicero was one of them. Jibo, which I don’t think you’d appreciate. Bertrand, and the Theranos minilab. So someone is also making money on that, which is funny. So well done, MSCHF.Bertrand SchmittWhy not? Why not? Maybe we can go quickly over Lytro. This one was, I would say, brilliant technology. It was a camera able to capture light in a different way. You could actually dynamically change focus after the picture was taken. So something quite impressive, and I still remember looking at their products and thinking, should I get one? At the same time where it didn’t work, it was too limited in terms of image quality versus shooting the real picture. It was very tough to sell as an independent device because either you’re in the phone or you are in a DSLR, but there was no spot in between. In some ways, phones solved the issue not directly, but they kept adding cameras. At some point, you had not one, but two, but three, but four, but five cameras in your phone. You had a specific mode for anything you needed, and that’s it. Phone manufacturers managed to convince people they should pay for all these cameras, or provide a low-end version if you don’t want to pay for all these cameras. But yes, very interesting technology that did not manage to find a go-to market.Nuno Goncalves PedroYes, it’s falling in love with a technology solution that, as you said, was incredible, and not falling in love with what problem you are actually trying to solve. Because a lot of the elements of the problem that you’re trying to solve, either you take another picture. All due respect, instead of me trying to change the field of view, etc, and the focus, post picture taken, I take another picture. To be honest, you can take thousands of pictures now with different setups. Also, ignoring the fact that this was pre this whole AI boom. So obviously, that one I will be kind on. But with the AI boom, you can do a lot of things to pictures and changes and stuff like that. All of that changes the game in and of itself. Obviously, Lytro or Lytro, not sure how you spell them, or how you say their name, but they failed before that. So again, this was super great tech, great investors, good investors on board, but just nobody wanted that device. Why would I want this thing? A total failure on arrival. I think one also other aspect of it that may have been misinterpreted and underestimated by some of the early investors, certainly in the company, is the value chain. There is a value chain for cameras, for SLRs, DSLRs, etc, etc. They know what they’re doing, and they’re doing their own level of innovation. In some ways, that fits squarely into that value chain, which I’m sure is a complex value chain to manage in and of itself. Maybe that’s created its own dynamics as well.Bertrand SchmittI think they try to insert themselves in the value chain, but I’m not sure first that they managed to get technology as small as it should have been. They simply didn’t convince anyone. The Sony or Nikon of the world, or the Apple or Google of the world, to use their technology in their phones, because no one really saw the value, per se. One thing to keep in mind, using their technology means you had a big trade-off in terms of megapixels. Actually, you will benefit from that great effect around the focus that can move anywhere after the fact. But in exchange, you had to lose dramatically the number of megapixels. At the time, all the rage was about how do I get more megapixels for my phone with good image quality. That was all that you were selling to consumers. Consumers would not have bought 10 times less megapixels for a weird benefit that at the time no one cared about. I think you are very right to introduce the fact that, of course, they could not have guessed at the time, but today you can get for free this refocusing effect with AI, actually.Nuno Goncalves PedroThat’s exactly the point I was making on the value chain. They went into a value chain that has a lot of players in it, and they got kicked in the butt anyway, because people were like, Why would I adopt it? They didn’t serve the purpose of the use case or the user flow. They didn’t anticipate competitive dynamics to it. Then they actually went straight up into a technology plus IP logic on a value chain that would be like, “Hey, dudes, just get out of here.” What would be the incentive for people to bring them on board? It’s like in some ways, they did all the mistakes under the book in that sense. Again, I’m not trying to diss the company, the founders, the investors, but it feels that was the problem in the end.Bertrand SchmittYes.Nuno Goncalves PedroShall we do some rapid fire dead-on-arrivals?Bertrand SchmittYes. A fan favorite. Have you tried a keyboard projector on?Nuno Goncalves PedroYes. I think I mentioned that in a previous episode, I did have one of the early ones and whatever. Yes, somehow we forgot that there’s other best, better ways of input, maybe voice would be a better way of input if that’s the problem, but anyway.Bertrand SchmittThis one is interesting because you just use it for one minute, and you discover it’s horrible.Nuno Goncalves PedroIt’s a horrible experience.Bertrand SchmittYou have to type on it. You don’t see exactly where you type. Each time you type, you are hurting your fingers because it’s not a smooth keyboard feeling, but you are tapping a solid surface. That’s amazing that it went to manufacturing, and basically no one gave feedback. There is no way it’s working. No way technically working, but practically, no one would want to use that.Nuno Goncalves PedroIt’s bad in all aspects. The finger’s touching. It needs to be a very over-engineered experience for it to actually detect the key stroking and all that stuff. It’s an over-engineered solution by default. It’s not private because once you have the keyboard projector, you’re like, “Where am I keyboarding projecting on?” It’s something that others can see. There are other alternatives that are better. The keyboards on our phones are pretty good these days, with autocorrection in most cases, I wouldn’t say all cases. Voice can also be an interesting replacement to that. If that’s what you’re going for, voice recognition has improved dramatically over the last few years. Again, it’s one of these, “Yeah, cool.”Bertrand SchmittIt’s clear that, first, touch has replaced a physical keyboard where you need one. And two, now voice recognition is getting better for sure.Nuno Goncalves PedroThe opposite side is that voice assistants were going to take over everything, that everything was going to be voice assistant-led. Alexa is going to run your life. You’re going to have games for voice. I actually have a good friend of mine who did a startup in that space. Actually, the company got acquired, and everything’s going to be voice, which, as we know, is also not true. We need to visualize sometimes. Sometimes we still want to write because we want either the added value of privacy or of expression at some standpoint. There are a lot of things that are happening around voice that are exciting. We just mentioned voice recognition, but not everything is going to be voice. Certainly not for the foreseeable future, and so that doesn’t work. Also, as the ultimate platform, we also want some visuals. We also want to have other kinds of interactions. There are limitations to voice assistants, for example. Voice assistants were not quite the next platform that people said they were going to be. I would say they’re a channel, but they’re definitely not a platform. That’s how, at least I see them.Bertrand SchmittYes, a channel versus a platform. I would agree with you. I must say I start to feel that we could be close to the future we have seen in Her. This movie, Her, I guess you saw it as well, where these guy keep talking to his personal assistants, and it’s becoming his friend, maybe even his love. I start to feel we are getting close enough with AI that this becomes a possibility. But again, it’s not your only way to interact. You want to type, you want to see stuff. There are many situations where you don’t want to be seen talking with someone. It’s more of a channel versus a platform. Yes, Alexa, it’s quite amazing how it went to the roof and crashed and burned. It moved up very quickly. Amazon invested billions, hired thousands of people, which was the right move. I mean, you have something that seems to work well enough and could be game changer, why not? But it was quite impressive as a crash and burn. It’s pretty rare to move that fast up and down.Nuno Goncalves PedroI agree. A lot of money is put into this stuff. I mean, Google went after it as well. I think Google probably executed better. Their tools and their hub tools, etc, were better in their devices. But to be honest, it was the beginning of something, it wasn’t really there. It’s shocking because a lot of people have Alexa at home, and Google Hubs at home, and whatever at home. But it’s really not that powerful. I have a bunch of Google stuff at home, and I still use it for very basic information. It’s not really doing much for me. It’s not like magically now with AI, it’s going to be much better. It’s not. It’s a legacy device now. Maybe in the future, we’ll have some stuff that will be cool, but definitely not the voice assistant manifestation that we saw in the past. I know the next is exciting to you, so I’ll let you go for it, Bertrand.Bertrand SchmittNetbooks. If you remember Netbooks, this was a horribly underpowered PC device. I kept buying one after the other, hoping that the next one would be fast enough. Trying to be a small, lightweight portable PC, they were called netbooks. Usually, they also had a small screen, like 10, 12-inch, 9-inch, and each time it was horrible. Very poor battery life, 2-3 hours, super, super, super slow. They were equipped typically with a full Windows OS, and they were killed overnight by the iPad. After 2 years of the iPad, no more netbooks. Oh, yes, and they had this… Typically, they would be equipped with… What was this name of the CPU? It was an Intel Atom CPU, I believe, or Celeron. Again, the root cause why, it was so slow. It was horribly slow.Nuno Goncalves PedroSo netbooks didn’t work. We didn’t want to go back to that. The iPad won and all [inaudible 00:34:05].Bertrand SchmittI think it has been proven at this stage. There are some small mini PCs these days. You have, for instance, the ROG Ally for gaming. There has been some revival with some Chinese manufacturers making some small PCs. I have to admit, I bought some, so I kept trying. It’s much more powerful, no question. Better battery life also. But we go back to the fact that if you have a very limited screen size, 7, 8, 10 inch, it’s just tough to put a full desktop operating system to good use. You need something more simplified, more touch friendly for it to be really practical. Yes, you can run the full desktop Excel on it, but will you do it on an 8-inch screen? Probably not.Nuno Goncalves PedroNetbooks, and maybe we’ll end with Google Glass. I mean, obviously, we’re going to talk about AR and VR in just a bit. I think it’s a good segue to our next section, and we’re not necessarily saying AR, VR is dead on arrival. We actually think they’re going to be out there for us in the future. But Google Glass, in the way that a lot of the first wave wearables were developed, was cool, but not enough. I think even the recent ones, the Meta Ray-Bans. I see a lot of friends of mine now, you’re wearing Meta Ray-Bans, and they’re like, “Oh, this is so cool”. It’s like, “How is that different from the Google Glass, but now a little bit nicer?” It still feels to me that’s the wrong way to approach it. Either we go with a more comprehensive solution for glasses or a solution for glasses that’s a little bit more easily integrated into existing frames, etc, for those of us, like the two of us, who have actual eyeglasses, or I don’t see it quite happening this way. I think just as a formality in how it was deployed, it seems to me it’s been the wrong angle a couple of times, even, to be honest, beyond the first wave of wearables. It’s been a little bit the wrong way to approach this, the wrong paradigm.Bertrand SchmittIf you remember the Google Glass, initially, they were launched in… Again, overhyped. You couldn’t even buy them, but still, it was overhyped. You could see a marketing department going crazy when they were showcasing models wearing Google Glass, that sort of stuff, fashion shows. That was insane. How is it connected to the value proposition of the Google Glass? Absolutely not. But you remember what killed the Google Glass?Nuno Goncalves PedroThis is the Robert Scoble in the shower thing. The whole lack of privacy thing.Bertrand SchmittYou tried to have this vision of the Google Glass that models are wearing and stuff in fashion shows. You have this guy, Robert Scoble, taking his picture with his Google Glass in the show, half-naked. Oh, wow, that quickly dropped. In the interest into Google Glass.Nuno Goncalves PedroRobert’s a good guy for the most part, so we’ll let him get away with it. But yes, it was not a good moment for the use of Google Glass. But to your point, it was overhyped. I don’t even recall that I had to do so many things to actually get access to one. I still have it. Then in the end, it was just totally underwhelming. I do think the meta Ray-Ban solutions, etc, etc, now they’re doing it with other brands as well, are more elegant because it’s around voice activation and stuff like that. But still, it’s not this. The soon to be Resurrected… I think these kinds of solutions are dead on arrival, which may be a good segue to the resurrection pile, so to speak, that will happen, just not like that pile that we have to share today.Bertrand SchmittYes. That’s the question. Are we in resurrection mode with AR glasses? The Ray-Ban, Oakley glasses, are the way to go? There are also some other brands like XREAL, for instance, that are a different approach. It’s more fun to watch movies that I personally like a lot and use a lot. I know quite a few fans for this. There is a market for either the XREAL for movies, meta, or Ray-Ban, for light information on top of your glasses. There are niches. I don’t know if it’s full resurrection mode yet, but I can see again, with AI, that there is the ability to do more and more. Will it be connected to your phone, will be independent from a phone? That’s also stuff to see. I guess at this stage, connection to a phone has some value. It’s making a comeback.Nuno Goncalves PedroI think it’s suffering from being overhyped. It makes sense that the category comes back. The use of glasses, a lot of people actually have eyeglasses. The use of different mechanisms that really expand your view. We’ve seen that with the advent of foldables in mobile phones. People want bigger screens. They want to get as close as they can to the tablet experience without necessarily having to go to laptops, etc. Definitely, I think the use cases make sense. It’s just how do you deploy it, and who’s going to deploy it best? I don’t think we’ve seen anyone that’s been particularly enlightened about doing it. All the great developments with Android XR from Google, Samsung doing a bunch of things in terms of deployment out there as well at the same time. I mean, are these guys going to redefine this category and create the first ever wearable, at least AR great experience or VR category of experience, or are we going to have much of the same? In the same way, it took several years for the smartphone category to be recategorized as a smartphone category under the iPhone. That was the category-defining moment. It was the vision of a bunch of people, obviously led by Steve, but a bunch of people that went to market and said, This is how we view the market to be, and they just nailed it. We haven’t seen the guys who’ve nailed it, I think, is the issue thus far, either on the VR side or the AR side. We just haven’t seen it.Bertrand SchmittDefinitely, we have not seen that. There are, of course, rumors that Apple is ending their Vision Pro program, and at the same time, is full-on on AR glasses, an alternative to the Meta Ray-Ban. We will see. I start to think I have trouble to see Apple pull this off because it starts to feel that, yes, they are great at making more efficient supply chain these days, but I feel after 10 years plus of Tim Cook leading the business, that’s all there is to Apple these days: thinner phones, pink colors for your latest device.Nuno Goncalves PedroVariations.Bertrand SchmittMore efficient chips, for sure. They have great chips. But beyond that, they canceled their car program, the Vision Pro was not successful in the marketplace. They have trouble to find the next story and to execute on the next story, quite frankly. You could argue that their most successful recent launch has been the AirPods.Nuno Goncalves PedroI think that’s absolutely spot on. We’ve discussed it in previous episodes how much… It’s taken much longer than I thought it would. I always said after Steve’s passing, that it would take maybe 5 to 10 years for the beginning of the demise of Apple, and it is taking longer. There was definitely some gravity created. Steve passed away in 2011, right? They’ve been hanging on to their time, so it’s now 15 years. It seems that only now Apple is really suffering in terms of product lines. Probably they started 1 or 2 years ago. They have a new CEO coming in September, so we’ll see if John will do a better job, if he’s really a product guy, and that’s how he’s going to go for it. He’s going to go for a few products really nicely done that can have great experiences, which is Steve’s hallmark, instead of what you said was the milking of the cow, so to speak, under Tim Cook. There’s nothing wrong with it created in a hugely valuable company with a huge amount of still innovations around the edges, but it’s like now they need real product innovation, a new category definition, play, and is John going to be the guy for that or not?Bertrand SchmittYes. Positively, Tim increased market cap of Apple. He didn’t destroy the business. We are not trying to tell that Tim Cook was a failure, but definitely it was not Steve Jobs. It was more a caretaker, optimizer type of CEO. But to go to the next level, you need another type of CEO. Quite frankly, it’s hard to find when it’s not a founder CEO.Nuno Goncalves PedroYeah, I think it will be difficult to find, but we’ll give John a chance once his time comes in September 2026, as one would. Moving to another topic that we’ve discussed in the past, self-driving. It’s going to happen. We all are waiting for it to happen. Self-driving cars, self-driving vehicles that we don’t need to drive in this mess of traffic, in particular spending a lot of my time in Southern California where traffic is incessant. The driving is… How can I put it in a nice way? Awful. People don’t seem to know what they’re doing. I think we all want to have self-driving cars. It’s taking longer than we thought it would, but I do think it’s going to happen. I wouldn’t put a mark on the sand on how long to get this world of self-driving cars. It’s going to coexist with non-self-driving cars for sure for a period of time. But I, for one, know deeply that it will happen, and I look forward to it. I love driving, but not in horrible traffic with horrible drivers.Bertrand SchmittWe are for sure very close. I mean, now, Tesla self-driving is extremely good. I have taken Waymo many times with great experience. It’s not going too fast, it’s not going on the highway, so there are some limits. But I would say really impressive all in all. I think we are pretty close. I don’t know if you know, but Waymo is working on expanding to many, many more cities, actually. I think we might be at a tipping point there. Quite frankly, I expect that teenagers in 10 years from now are not going to bother to learn driving. I mean, we’ll see, but I think many won’t.Nuno Goncalves PedroI mean, Waymo is now doing also stuff on freeways, certainly in the Bay Area. I had a friend of mine who took one recently, and he was scared. He was scared shitless—I think that would be the right way to put it—because the car wasn’t going that fast, people are aggressive on the freeway around your car. But to your point, I’ve used it in city. In the city, it’s great, and it’s aggressive enough. That’s one of the things I was a bit afraid about Waymo, that it wasn’t going to be aggressive enough in city driving, it is pretty aggressive. Yeah, maybe we’re closer than we think. Maybe it’s a couple of years rather than a decade, which is normally where we put the stake on the ground. But it’s definitely going to happen. I think there was an overhype too soon. There were great movements around level 3 and level 4 autonomy that in some ways were misconstrued early on as full autonomy. But now we will likely get what we ask for. Then at some point someone’s saying, “Hey, but why don’t we just have the flying objects instead?” We’ll get back to that. The flying car stuff, the eVTOLs and all that stuff, we’ll see.Bertrand Schmitt10 years ago, I remember the overhyping was very, very strong with self-driving. I nearly believed the bullshit. It was so strong in 2015, 2016 that nearly everyone thought it’s here in the next 12 months, basically. I think that was a lesson for quite a lot of people. Don’t trust the Silicon Valley bullshit machine, hype machine. It can go way too strong, way too fast. You absolutely need to spend time to understand realistically where we truly are. You cannot just buy the premise.Nuno Goncalves PedroMoving maybe to robotics and humanoids. Again, it’s going to happen both for consumer and for industrial. The humanoid form, I think, at some point will be important. Just not yet. I think we’re behind now the big buzz sentence is embodied AI, where you have physical AI manifestations. AI manifested through robots and other kinds of devices. It’s going to start happening in certain beachheads. But, hey, we’ve had this offer for a long time, and I know you still have your frustrations, Bertrand, with the Sony AIBO. I won’t traumatize you more than that, but definitely it will happen. We will have humanoids at some point. We’ll have different specialty devices that will help us in activities that we do both as consumers and also in the B2B and enterprise space, even in the industrial space. The writing’s on the wall that definitely is going to happen.Bertrand SchmittYes. I think the question, as always, is how do you get there? I think the intermediate steps of your optimized robot, a physically optimized robot, like a Roomba to clean your home or some other robots to mow your grass, a good example, I think initially you have to start a small, practical, not too technology advanced and progress your way. Truly humanoid robots are very disruptive because technically, if they work, they can do everything a human could do. But practically, I don’t think it’s that true because a lot of constraints. You have to have enough weight, you have to have enough force, you have to have enough vision, you have to have enough AI to just understand commands and move around. But, again, with all the progress in AI, the progress in electric motors, I am optimistic that there is a chance for the humanoid robot, but it’s not 3 years. It’s probably not even 5. It’s probably more like 10. Let’s not forget that a lot of demos with humanoid robots today are fake. It’s a remote operator, remotely controlling a robot. It’s not a robot working by himself in many, many, many situations. That, I think, is another thing hurting the reputation of some of these companies because these fake demos, they look great, but once you dig a bit, you realize it was a fake demo because it certainly didn’t come with a warning that it’s remotely operated.Nuno Goncalves PedroMoving maybe to the next one that it will happen, but not exactly like that. Quantum computing, I think for the most, it’s been in many cases a solution looking for problems. It’s beautiful, but it’s like, “What’s the problems we’re trying to solve?” I think we’re going to start having beachheads into problem solution and apps. I’m sure a lot of people out there would say, “Well, there’s already killer apps for this, a lot of the scientific modulation, cryptography, breaking, all that stuff.” But I’m like, “Yeah, cool.” It still feels very much like a bunch of pieces and hardware in effect that is trying to solve a problem that needs to be very much defined into several problems, several areas of problem solution going forward. Will it happen? For sure. I’ve been hearing about quantum computing since I was in college, since I was 17 when I got into college. I’m sure it will happen. It will have manifestations. There’s a lot of stuff probably already residing on some of these instances. But a full mainstream view of what quantum computing can do for us is still quite ways out.Bertrand SchmittYes, I mean, there has been some reports that some key steps in the technology starts to be working and that potentially the technology could start to deliver results in the coming 2-3 years. What I mean by results, results that will dramatically change how you need to encrypt because a lot about quantum computing is actually trying to decrypt the current technologies that are used to protect your information online. This one is big. If we manage to have a limited use of quantum computing things that work in a few years, that will have a dramatic impact on how we encrypt data. That’s the one piece I’m looking for: do we really manage to solve encryption with computing? If yes, then we need to make a lot of changes how we encrypt things.Nuno Goncalves PedroFusion energy, the gift that keeps on giving, but this somehow doesn’t fully happen. I know you’re a big fan.Bertrand SchmittI would say, practically, I’m a big fan of nuclear fusion energy because in a way, it’s working. It’s solved in terms of safety. Latest Gen5 reactors are ultra-safe. They cannot go out of control anymore. China has a working reactor. In some ways, part of me would say, “Why bother with fusion when we have fission that is working extremely well, and we know how to make?” If we are efficient about the process, we could make for really cheap. Having a better source of energy today will already be great for the world. I would like to see scale with fission. It’s great to research fusion. Fusion is near a limitless form of energy. This is exciting. I think what’s interesting with fusion these days, it’s not just the big governments working on spending billions before seeing any potential returns, but there is a lot of startups that are working on it. The bar went lower in terms of researching fusion. That part gets me excited. But again, I think we should go fission first and parallel with some fission investment, fusion research, and hopefully, fusion comes at some point, but we should not wait for fusion would be my big take.Nuno Goncalves PedroGood point. Last but not the least, we’ve dedicated episodes on this, so maybe today we’ll just do the little teaser. If you guys haven’t heard our episodes on AI and the bubble and all those things. The last big one that’s just not like that, it will happen is AI itself, and in particular, AGI, so generalized AI that will be just like a human. Obviously, it’s happening. We’ve discussed in previous episodes, there’s a lot of breakthroughs in terms of methodological approach beyond the GPT curse of actual hallucinations that doesn’t seem to be solvable. There’s a lot of things happening around reinforcement learning, evolutionary computation, and other methodological approaches to AI that we think will create tremendous breakthroughs. There’s definitely a lot of funding going into it. We quantified it recently. I think 63, the number probably has changed in the last couple of weeks, but 63 new AI labs that have raised significant rounds upfront, just getting into the market, some of them as high as hundreds of millions or even over a billion dollars for the first round of funding. Obviously, there’s a lot of dramatic things happening in that space. There’s a lot of capital going to that space. It’s going to happen. It’s going to take much longer than, I think, we think it’s going to take. I just saw, I think, Marc Andreessen recently saying, AGI is already upon us. Maybe it is. Maybe he knows something we don’t know. But I suspect we’re still ways to go in a lot of the developments on AI. For now, it will continue its complications and its limitations. But definitely it will untap a lot of great productivity enhancements, technological enhancements, even in the short term that at least I’m very excited about. Then the AGI story, I think, will be a story that will be told later.Bertrand SchmittI might actually disagree on this one. I actually believe, like Marc Andreessen, that we are at AGI. We reached AGI a few months ago with the latest ChatGPT 5.5 with Claude Anthropic, Opus 4.7, 4.6 even. For me, in some specific space, let’s say coding, for instance, I truly believe we have reached AGI. It is totally replacing people for development, testing, writing, specifications, doing design. Yes, there are some use cases where it’s not working as well. But for at least the coding side, I think AGI is truly there. Is it better than the best human experts at every piece of the puzzle? No. I think if you go to some very specialized development stuff like a CUDA development, for instance, or some kernel development, it might not be at the level of the top human experts. But as we can hear about stories around security to the new versions that are unreleased yet of Anthropic and others seem to be at the level of the best human experts at cybersecurity. I think we are actually there. I think that’s why there is an acceleration the past six months in terms of investments in data centers. There was a big question in 2023, 2024, 2025, “Are we investing too much? Is it a bubble?” And so on. That was true because revenues were increasing, but not that fast. The increase in the growth in revenues for Anthropic is insane. No one has ever seen that in the whole history of technology, what happened to them the past six months. Growing so fast at such a scale, no one has seen. I think that’s truly because they have stumbled upon AGI for coding. Coding is such a huge, large market that even if we are just solving coding, even if we never solve more than that, I think it’s already one of the biggest markets in the world, full stop.Nuno Goncalves PedroBut that, for me, I think maybe it’s a definitional thing. That, for me, is still narrow AI. AGI, as defined, is a type of AI that can match or surpass human capabilities across virtually all cognitive and intellectual tasks. Coding is just one of them. I think there’s a lot of narrow AI right there, to your point, that can replace humans maybe today. Coding may be a great example of that. But I don’t think we are at the AGI. I haven’t seen any agents out there that can replace fully human beings, where I would not understand that they’re actually AI. Anyway, again, maybe you guys have seen stuff that I haven’t seen. I just feel there’s a lot of overhype on what the AGI actually is. But the ability to surpass us as human beings, I haven’t seen it yet across the board, not on a specific domain.Bertrand SchmittYes, I think my point is that I have seen it on a few domains. If you look at mathematics, for instance, and there are more and more examples of people who are using AI to solve math problems that only the very top people in the world were able to solve that are now being solved by AI. I start to feel that we are getting a few examples in different fields where AI is matching the absolute best experts in the world. I would just go back in terms of market size. Already what we got today, and today is not the limit, but what we got today, and especially AI combined with all these agents, harness agents, that’s also that specific combo that makes a difference. This is, for me at this stage, huge market. Does it solve everything? Does it replace a human for everything? No, you still need the human in the loop. You don’t let your AI go wild for weeks and just check once in a while. But you could argue very few humans are able to do that, quite frankly, to run by themselves for weeks without control.Nuno Goncalves PedroI feel there’s still a great deal of confusion because there’s dramatic impact on narrow AI domains where things are being done that weren’t done before, where there’s these great mathematical proofing, coding stuff is being done very easily, etc, etc. But still that, for me, is not the definition of AGI. AGI is a human being. It’s like someone who can really be a human being. Ideally, become top end of what a human being will look intellectually across domains. I don’t think that’s where we are. Again, maybe definitional, maybe that’s what Marc means, but I mean-Bertrand SchmittYeah, the question is, what does it mean? I would argue it’s beating 80% of humanity today pretty easily. Most of humanity doesn’t know how to code. It will be unable to do coding at the level AI is doing. It will be unable to do math at the level AI is doing. Use ChatGPT to check for medical issues and stuff. It’s not perfect for sure, but, again, it still beats most humans. I don’t know. I feel that we are reaching a level where it’s truly beating most of humans, many experts in many fields. I feel the definition of, “Hey, it has reached the level of an average human being.” I would say it passed that one. Is it the same as a human being? No. But reaching the level of your average human being, I think we are there in a lot of fields.Nuno Goncalves PedroConclusion Well, in conclusion, in episode 78 of Tech Deciphered, we went into two piles: the pile of dead-on-arrival products, technologies, businesses, and the pile of “it will happen, but not like that” or “not yet” pile of technologies, business out there as well. We went into a bunch of topics today that were of extreme importance back in the past where we thought the world was going to change, anywhere from self-driving to fusion in the nuclear space. We also went into some dramatic, dramatic mistakes like Juicero and other deployments like Segway that seem to be really very much dead on arrival. With that, I would ask you if you’re excited, and you want to share with us some of your agreements or disagreements on today’s episode, as well as your own dead-on-arrival versus merely-early examples, feel free to do so on LinkedIn, X, or via email. Thank you, Bertrand.Bertrand SchmittThank you, Nuno.

I just sat my first open book exam, the format where you’re allowed to bring your notes. You can even bring the physical textbook if you want, a testing format that was totally new to me. Should be easy, right? That’s what your tricky examiners want you to think. And I know not to fall for it. I have a PhD in Humanities, two MA degrees and taught at three universities around the world. During my years of teaching, I wrote, administered and graded more exams and assignments than I can count. Now, back in school as I near my 50s, I’m working on a second Bachelor’s degree. This time in law so I can develop an exact understanding for what law memorization is all about. For my first exam, I scored “High Distinction.” That’s the top grade here in Australia. But here’s something to consider that probably no one else will tell you about open book exams: There was one question I got wrong. And it wasn’t even the one I thought I’d missed. This “error” suggests that having the textbook wouldn’t have saved me even if I’d brought it with me. No, the problem was caused by the open book format itself. In this experience-based guide, I’ll show you what this kind of exam actually tests, and how to prepare properly. That way you can avoid the same recycled study advice just about everyone else gives online. https://youtu.be/_orag2IBwbA What an Open Book Exam Actually Tests (It Isn’t What Most Guides Tell You) First, I have to tell you that I was initially surprised that open book testing exists in law school at all. Especially since to pay for my earlier university studies I took some high-stakes exams for jobs I worked to help pay my tuition at York University. For example, I worked as a store detective and having open book testing for the required security guard license would have been absurd. No employer wants a guard who needs to flip through a textbook to determine whether or not they’ve witnessed a crime, after all. But now that I’ve taken my first exam of this type, I’m fascinated and did some research on why such tests are administered in the first place. In this study, researchers Ming-Yin Chan and Kwok-Wai Mui reveal that open book examinations have existed since at least the 1930s. Using my university library access, I found one such early study in the Journal of Higher Education from March, 1934. As John and Ruth Stalnaker argue in Open-Book Examinations, such testing has many positives: Emphasis falls on the course objectives Students utilize facts to solve problems Inference skills are exercised More time tends to be spent by students on preparation rather than cramming They predict that these kinds of tests will be more widely used in the future and encourage more research into the best kinds of questions suited to this format. Are the questions suitable to the format of studying law? Now that I’ve sat for a couple, I think so. After all, law is the field where getting even just one section number wrong could change the outcome of a case. That means this kind of testing is only partially about testing recall. It’s more about determining whether you can read with precision and work with the exact information as worded on a variety of source materials while the clock is ticking. Twenty Questions, Sixty Minutes, and No Authentic Way to “Look Things Up” So there I was at my laptop, the entire device reduced to just one screen by a lockdown browser called Respondus. My first exam was for a course called “Legal Institutions and Processes.” It is heavy on history and legislation. The first few weeks involved a ton of dense reading from multiple textbooks and a legal dictionary. This is the kind of reading I really haven’t done since I changed my major from Political Science to English during the second year of my first undergraduate degree. Although I had dreamed at my naive young age of one day becoming the Prime Minister of Canada, I changed my mind that year after interviewing the premier of British Columbia for the student newspaper. He clearly lied in response to my question and I determined right then that I was never going to be anything like him. Anyhow, do the math with me. Twenty questions during an hour-long exam gives you three minutes per question. During that time, you need to Read each question carefully Check your answers Fight off all kinds of urges and fidgety feelings that arise when you’re trapped And due to how the lockdown browser software works, I was literally trapped. The rules dictated that I could not leave the computer until I ended the session or the time ran out. The Practical Reality of Flipping Through Notes If you’ve never sat for an exam like this, ask yourself: How much time can you really afford to spend flipping through fifty pages of notes looking for an answer you don’t know? There’s no cookie-cutter answer here, but without preparation, the answer may as well be “zero.” The research agrees. In a 2024 study involving 112 open book and 83 closed book cognitive psychology students, the open book group scored higher. However, they also took longer to finish their exams. One way to interpret these research findings is that having access to your textbook increases your accuracy. But at what price in a world where time is your scarcest resource? How Long Did I Spend? As a time-poor entrepreneur with lots of polymathic projects on the go, I finished my first open book test in approximately thirty minutes. But needing the time to do other things was only part of the reason. A lot of the questions I was able to answer simply by using critical thinking, a skill I taught at university as a professor myself for four years. If you’re interested, here’s a list of my favorite critical thinking books. But the real reason I finished early is because I took the exam without a textbook. And that means for me, it wasn’t an open book situation at all. At least not in the normal sense. Here’s what I mean: My Notes-Only Experiment: Testing Digital Amnesia Under Exam Conditions Years ago, I wrote about a condition the Kaspersky Lab researchers called “digital amnesia.” In brief, your mind blanks out when trying to access information because you’ve stored it on a device you trust instead of in your head. Back then, I argued that every time you reach for a search engine instead of pausing to ask your own memory first, you deskill it. This is not unlike the way your muscles droop when you stop performing pushups. Here’s my original digital amnesia article if you’re interested. Anyhow, I don’t know if I’ll take more advanced law school courses without buying the physical textbooks. But for this exam, I took it as my chance to run a more high-stakes experiment with digital amnesia than I’d ever tried before. Did I have to experiment under proctored conditions, with a grade attached? Of course. Because real test conditions matter. And all the more so in the age of Artificial Intelligence, which challenges many aspects of mind and memory as I’ve previously written about in the context of learning. Let me take you a bit deeper behind the scenes. Because if you know my work with the Magnetic Memory Method, you’ve probably seen me with books frequently. And it can be confusing to suddenly hear that I decided to study 100% online. Why I Refused to Buy the Course Textbooks on Purpose Two reasons. First, I’ve said it on the Magnetic Memory Method Podcast for years: I don’t memorize well from screens. In fact, 3x USA memory champion John Graham and I have talked about this “problem” of mine on more than one of our podcast conversations. I’m not alone with this problem. Some researchers even have a name for people who forget what they read from digital devices: the screen inferiority effect. Pablo Delgado and his research team probably gave away the best advice about how to handle the fact that we forget what we read from screens. They gave the solution away in the title of their 2018 Educational Research Review meta-analysis, “Don’t throw away your printed books.” Don’t throw print away indeed. Even some of the most pro-digital people I know follow this advice. For example, Andrew Mayne, host of the OpenAI podcast has been on my podcast to talk about how and why he still uses print journals and physical notebooks as part of training his memory. Second, I made this choice to dimensionalize my work on Peter of Ravenna, the 15th-century jurist who wrote about his legendary memory techniques. In my imagination, he wouldn’t have bought the textbooks either. All of which is to say that I knew what I was getting into when I made the deliberate choice to forgo ordering any of the physical textbooks for my first trimester of law school. But when I learned that my first test settings were going to be open book? I immediately had to reconsider my approach. And handle a frustration I faced with a contradiction in terms. The Unprintable Textbook Problem The assigned textbook, Laying Down the Law, is available through the university’s online library. But they’ve offered it in a digital format that makes printing individual chapters impossible. This means that a student who can’t afford the print edition, or doesn’t want to study from print, has exactly one permitted way to use the textbook: effective note taking. Could I have opened the library copy on a second computer during the exam? Technically, perhaps. But the rules make clear that accessing any secondary device counts as cheating. So I showed up to the test prepared with my handwritten textbook notes instead. I also prepared my own version of the lecture slides to make sure I could refer to them if needed. This required a couple of steps: Download them from the online course platform Upload them into Google Slides Export them as text files Edit the text into useful notes in a Google Doc Supplement the notes with my own observations Print them out Study them further from the printout These steps took time. But I wound up with much more understandable notes as a result. The notes not only fused the lecture content with the readings. I also got an additional review of the material. An Absurd Study Requirement Still, part of my mind couldn’t let go of the absurdity of the situation. I was preparing for an open book exam where the book is locked behind a screen you’re not allowed to open. Students willing to spend the money get to bring the textbook. Anyone else has to bring whatever they managed to copy out by hand. This is not a level testing field. It’s a paywall wearing an academic gown. In my case, the absurdity of this barrier served my learning experiment. But I had a choice. Plenty of students don’t. Think First, Verify Second: How I Actually Used My Notes So how did my handwritten notes and transformed notes based on the slides perform against the clock? At first, I didn’t use the notes at all. Instead, I initially answered every question by thinking first. Then I went over everything a minimum of three times, checking my answers for accuracy against the notes. In other words, I used my notes as a verification instrument, letting the answers come first from my memory. Now that you know how my exam went, let me consolidate everything into some tips for your own open book test. How to Prepare for Your First Open Book Exam: My Best Tips My study suggestions break down into practical strategies and mindset management. You really can’t have one without the other because unexpected things can and do happen no matter how prepared you come to a test. Build a Reading “Moat” Well In Advance Even before I knew about the assignment structure and course exams, I started reading the instant I had access to the course area. But not just the textbook. I made ample use of the included dictionary and memorized new terms using this tried and true vocabulary memorization process. To supplement the reading, I also found as many YouTube channels and podcasts about Australian law as I could. I listened intensely and watched as many hours of video tutorials as possible. Sometimes these audio and video supplements went quite ahead of the reading. So I took care to balance going too far afield of the requirements against making sure I was going through additional material related to legal institutions. Placing guardrails on myself required vigilant self-monitoring and discipline, but I wound up with a “moat” around the core reading. In other words, my core reading was surrounded by related multi-media study. How to Pass an Open Book Exam? Complete All the Readings & Every Exercise Often students ask me about how to find the most important details in their study materials. As I discussed in my tutorial on finding the main points in books and articles, many books include summaries and conclusions. And some include dedicated exercises. That was the case with Laying Down the Law. The instructor also included some additional exercises, and so I completed both. And this is exactly what you need to do too. Be a completist. I know it is tempting to search for hacks of every kind under the sun. But in reality, the point of studying something is to become an expert in that topic. Some experts certainly do skim and scan, but that doesn’t mean you should. Frankly, I found both the readings and the exercises for my first exam a bit boring. But I went through them anyway to help develop my understanding of the material. And to go beyond the call of duty so that later on, I will know I at least tried my best. How to Pass an Open Book Test with Help from AI As I discussed in my video tutorial on studying complex topics, I wrote an AI prompt to spar with and test my answers: https://www.youtube.com/watch?v=jfL5ygsYpyg The prompt is called A.I.M. and you’re welcome to grab it below if you want to give this GPT I trained for myself a try with your study material. Here’s an important point: Getting your reading down early and supplementing it with additional material enriches how you complete your exercises. Memorize Anyway, Even If You Have Textbook Access & Keep Flawless Notes One thing I kept hearing early on were sentiments like, “No one cares if you can remember legal Latin.” I took this point into consideration, but memorized the phrases I came across anyway. It turns out one Latin phrase did show up on the quiz. If I hadn’t memorized it, I would have been underprepared (especially since I did not have the textbook with me). Memorization of terms, dates, important names, sections and other minutiae related to your studies might not prove valuable in the end. But more practice with a variety of memory training techniques will provide many benefits. The core techniques I used for this part of the study process were: Memory Palaces Pegword method PAO System Spaced repetition Although it can take a while to learn and practice these mnemonic devices, it is well worth having them on your side. Organize & Supplement Your Notes Effectively I actually got the idea to print out the slides and then rearrange them from my friend Nick. At first, I thought it might be a waste of time. I already faced the problem of forgetting more from digital exposure. But as I edited the slides in a Google document, I realized that the additional exposure involved looking at the information from a unique perspective. While changing the format and organizing them into a structure I better understood, I was processing the information again. I wouldn’t call this form of learning either deep or shallow. It was simply an integrative step that enabled further questioning after I printed out the notes. And I found some initial study exercises in the notes that I later answered with a red pen after doing further research. For example, I extended my understanding of the “Cab-Rank rule” as you see here:   Additionally, I took a moment to set up the footer area. As you can see in the example, this simple trick indicates: To which lecture slide the notes belong The page number The total number of pages for this set of notes Although I felt a bit silly, and perhaps more like a secretary than a student doing this, the rewards were obvious as I was doing it. Knowing that each set of notes was full and completed reduced my test anxiety. And because the pages were numbered and using the footer showed me at a glance that I wasn’t missing anything, I spared myself any and all mystery about the status of my notes during the testing hour. This is not a small point because anxiety-induced memory loss is a real problem. Seriously. I can imagine nothing worse than my mind seizing up with worry that a page of notes had gone missing. Especially when the rules of the test required that I remain in front of the computer throughout. Finally, I bound each set of notes together with a simple clip from the stationery store. Again, it felt a bit secretarial, but it was really useful in making sure all of my notes were organized. I did the same with my handwritten notes. In this case, my handwritten notes were based entirely on key terms I thought would be important for the exam. What I found interesting is that most of what I had written out from the online textbook was the same as on the lecture slides. For more tips on dealing with your reading, check out how to take notes from a textbook. Follow up with my how to memorize a textbook training for what to do with your notes once you’ve got them. Take Deliberately Timed Breaks While Studying Provided you’ve started reading early and expanded your reading to include a variety of sources, it’s important to rest. Frankly, taking breaks is a weakness of mine. I love to plow forward. But I made myself take entire days off leading up to the exam where I didn’t read anything related to the exam. However, I did engage in reflective thinking about my studies. This simple activity while taking time off helps with memory formation and comprehension. Verify Your Sources Before Exam Day As a final step, I went through everything again the day before the exam. This included checking the file names of all my notes and various citations. Plus, there were various names and dates that I had memorized that were not on my notes. So I checked those, such as for the Mabo decision, an important legal case in Australia. Although I knew it was unlikely that a multiple choice question was going to confirm that I knew Mabo’s first name was Eddie, I checked my memory of the fact anyway. This simple verification step not only made sure that other details of the case were clear to me. It’s also just fun to check for accuracy. For Online Open Book Exams, Test All Software In Advance Since I’m a remote student, I not only made sure I completed installing the Respondus software days in advance of the exam. I also made sure all my software was up to date, from the browser to the operating system. Not only is regularly updating software a best practice. Knowing that everything is operational helps reduce exam anxiety. Control Your Mind While the Clock is Ticking Although I finished the exam quickly, it’s not that time wasn’t on my mind. In fact, it was raining hard and I hadn’t slept well. Both of these factors injected no small amount of misery into my mind. In my case, I kept thinking about Peter of Ravenna and how disappointed he would be. There wasn’t much room for memory techniques to shine during the exam experience. Then I started doubting that law school was such a great idea after all. As soon as I caught myself doing that, I started running some of the mantras I memorized prior to writing The Victorious Mind. Having this simple ritual focused my mind back on the task at hand by blowing the distracting thoughts away. If mind wandering causes you issues while sitting for exams, it could be worth looking into various mental routines you can practice. This complete guide contains multiple concentration meditations you might find useful as a learner. Why Do Teachers Give Open Book Exams? Although I passed with High Distinction, my first exam of this type felt alienating. I can’t quite put my finger on what bothers me about it. But to use a critical thinking tactic, I’ll try to steelman the format by way of understanding the reason behind the testing scheme. It’s clear that this kind of test is less about knowledge and more about how detail-oriented the student is. I also suspect that the reason the teacher gave an open book exam is twofold: One: Anti-Guessing Design The open book format means that you will actually go through your learning material. There’s no incentive to guess when you can look at your study sources, leading to at least one more pass through the material. Two: Blended Testing This exam was only part of the grading for the course. I still need to give an oral presentation and submit an essay. By having an initial exam with the anti-guessing design optimized to generate an additional review of the study material, it does set the stage for stronger performance. Summing up: A Plan for Your First Open Book Exam Because time is always in short supply, I suggest that you: Start reading as soon as possible, ideally before the course even begins. Take extensive notes and give yourself time to verify them. Complete all of the available practice questions. Use ChatGPT as a sparring partner, not as a source of answers. Schedule plenty of breaks. If you’re a remote student, check that all of your software is updated. If you would like access to the sparring partner I created for myself, it is called A.I.M. As a study prompt, it’s simple and direct. But I found that it helped me identify a number of blind spots in my thinking. Click or tap the image below to claim it: I don’t know what Peter of Ravenna would have to say about exams like this. But in my experience, the format rewards the prepared mind and the precise reader. I expect my memory will be tested in future law courses and because of the amount of review this kind of testing promotes, I expect the experience has indeed helped my recall. Even if in a different way than I’m used to when studying. For more of my experience and teaching on that, check out my guide on How to Study Effectively next. Above all, enjoy the learning process. We sometimes forget what a blessing it is to be able to study at all. Yet, here we all are, with more people on the planet studying than ever before. Don’t forget to celebrate the opportunity you have and bring that awareness to the exam. Keeping a positive attitude is a major skill that promotes massive success in all of life’s many “tests.”

Learn how to increase Etsy conversion rates using better listing photos, stronger social proof, and high-converting Etsy listing videos. In this video, I break down the exact Etsy photo and video strategies most sellers are underutilizing — including how to use all 20 Etsy photo slots, how to create social proof images from customer reviews, and how to use Etsy's two video slots to help shoppers feel more confident buying from you.   If you're getting traffic but not enough Etsy sales, your problem may not be your keywords — it may be your listing conversion. I'll show you how to make your Etsy listings more trustworthy, more visual, and more persuasive so shoppers can quickly understand your product and feel confident clicking "add to cart."  

People are already using AI during divorce whether attorneys like it or not.They're asking ChatGPT to:analyze texts from their exexplain legal documentshelp write co-parenting responsesbuild parenting schedulesorganize timelinesprepare for mediationand sometimes… emotionally spiral at 2amSo where's the line between using AI strategically and using it in a way that could quietly damage your case?Leave us a review!

How can you capture and nurture leads consistently if your team resists using a CRM? Many leaders invest heavily in systems like HubSpot or Salesforce expecting consistency, visibility, and growth. But the reality is, not every strong relationship builder on your team wants to use those systems. In this episode, Donna Peterson shares a practical, real-world workflow using ChatGPT to bridge that gap. This is not about replacing your CRM. It's about supporting your team in a way that feels natural to them, while still creating structure, consistency, and follow-through. If you've ever walked away from a great trade show conversation and lost momentum after one email, this episode gives you a clear, repeatable system to fix that. Key Takeaways: CRM resistance is not a discipline issue, it's often a workflow issue Relationship builders need tools that match how they naturally work Speed and personalization matter more than perfect data entry Follow-up consistency is what turns conversations into revenue AI works best when it supports human connection, not replaces it The 6-Step ChatGPT Lead Workflow: Capture the Lead: Take a photo of a business card, directory, or list and upload it into ChatGPT. Capture the Conversation: Use voice notes to record details immediately after the meeting. Include both business needs and personal details to humanize follow-up. Create a Personalized Follow-Up: Ask ChatGPT to draft a grounded, value-driven email focused on helping the recipient—not selling. Build a Follow-Up Plan: This is where most opportunities are lost. Use ChatGPT to map out next touchpoints so relationships don't fade. Keep It Searchable: Store everything in a structured ChatGPT project so you can instantly recall conversations and context. Sync Back to Your CRM: Export structured data (CSV format) and upload into your CRM when needed—without slowing down your workflow. Why This Matters for Leaders: You reduce friction for high-performing team members You improve follow-up speed and quality You maintain relationship ownership while still capturing data You create a system people will actually use This approach respects how people work while still driving accountability and growth. Action You Can Take Today: After your next meeting or event, record a 30-second voice note summarizing the conversation and ask ChatGPT to draft a follow-up email. That one step alone will improve your consistency immediately. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

OpenAI Just Built a Free AI Tool for Clinicians. Here Is What It Does and What It Means for Your Practice. OpenAI launched ChatGPT for Clinicians in 2026 and explicitly named psychologists and licensed clinicians as part of the target audience. Before you sign up or dismiss it as irrelevant because it is US-only, there is something specific in this product that every therapist in private practice needs to understand — and it is available to you right now, wherever you are. In this episode I talk about the reusable workflow skills feature inside ChatGPT for Clinicians, what it means for your clinical documentation, and what Australian practitioners genuinely need to know before getting too excited about the HIPAA compliance angle. WHAT WE COVER I start by walking you through exactly what ChatGPT for Clinicians is and who it is built for, because the marketing can be a bit vague on the specifics. I then spend a solid chunk of time on reusable workflow skills — the feature that I think is the most practically useful for solo practice owners — and explain what it looks like to set one up for referral letters, progress notes, or clinical correspondence using your existing ChatGPT plan. We talk about the caution that most coverage of this product is glossing over: HIPAA compliance is a US legal standard, not an Australian one, and I explain what that actually means for your practice and your privacy obligations. I then share what this launch signals about where AI tools for clinicians are heading over the next 12 to 18 months, and close with a concrete first step you can take today. EPISODE TIMESTAMPS [00:00] Introduction — why this launch is worth your attention [02:15] What ChatGPT for Clinicians actually is and who it is for [06:00] Reusable workflow skills — the feature that matters most for your practice [11:00] The caution — HIPAA, the Australian Privacy Act, and what "compliant"  means [16:00] What this tells us about where AI for therapists is heading [19:30] Brooklyn's take and next steps for your practice LINKS AND RESOURCES Website: https://brooklynstorme.com AI Playbook for Therapists: https://sales.brooklynstorme.com/aiplaybook/ ChatGPT for Clinicians: https://chatgpt.com/plans/clinicians/ Free Private Practice Quiz: https://brooklyn.myflodesk.com/pmquiz ABOUT DR BROOKLYN STORME I'm a business coach for counsellors, psychologists, and social workers who want to start, grow, and scale their private practice. With 30+ years of experience in private practice myself, I know what it actually takes to build a practice that works — without burning out or second-guessing yourself. Therapist AI Resource Hub: https://www.skool.com/private-practice-resource-hub/about Facebook Community (The Ultimate Private Practice): https://www.facebook.com/groups/theultimateprivatepractice Facebook Business Page: https://www.facebook.com/brooklynstormephd/ Website: https://brooklynstorme.com SUBSCRIBE AND REVIEW If this episode was useful, I would love it if you subscribed and left a review. It genuinely helps more therapists in private practice find this podcast.   ChatGPT for Clinicians, AI for therapists, private practice technology, reusable workflows ChatGPT, AI tools for psychologists, clinical documentation AI, ChatGPT private practice, therapist admin tools, AI for counsellors, HIPAA ChatGPT Australia, Australian Privacy Act AI, AI referral letters, ChatGPT psychologist, solo private practice efficiency, OpenAI clinicians, practice momentum podcast, Dr Brooklyn Storme, AI tools social workers, GPT-5.4 healthcare, private practice business coach

John 20:19-31When it was evening on that day, the first day of the week, and the doors were locked where the disciples were, for fear of the Jews, Jesus came and stood among them and said, “Peace be with you.” After he said this, he showed them his hands and his side. Then the disciples rejoiced when they saw the Lord. Jesus said to them again, “Peace be with you. As the Father has sent me, so I send you.” When he had said this, he breathed on them and said to them, “Receive the Holy Spirit. If you forgive the sins of any, they are forgiven them; if you retain the sins of any, they are retained.”But Thomas (who was called the Twin), one of the twelve, was not with them when Jesus came. So the other disciples told him, “We have seen the Lord.” But he said to them, “Unless I see the mark of the nails in his hands and put my finger in the mark of the nails and my hand in his side, I will not believe.”A week later his disciples were again in the house, and Thomas was with them. Although the doors were shut, Jesus came and stood among them and said, “Peace be with you.” Then he said to Thomas, “Put your finger here and see my hands. Reach out your hand and put it in my side. Do not doubt but believe.” Thomas answered him, “My Lord and my God!” Jesus said to him, “Have you believed because you have seen me? Blessed are those who have not seen and yet have come to believe.”Now Jesus did many other signs in the presence of his disciples that are not written in this book. But these are written so that you may continue to believe that Jesus is the Messiah, the Son of God, and that through believing you may have life in his name. Everyone seems to be maxxing something these days. If you've never heard the word, maxxing means aggressively improving, or maximizing, some part of your life. There are all kinds of maxxing trends on social media. For example, young men are spending a lot of time looksmaxxing - obsessively optimizing their appearance. Then there's fibermaxxing, fixating on increasing fiber intake for better health. Or Chinamaxxing, adopting traditional Chinese lifestyle habits again for improved health.None of these sound all that appealing to me—especially the fibermaxxing. But I did read about one maxxing I can get on board with: frictionmaxxing.Frictionmaxxing is about adding small inconveniences back into your life, because living a frictionless life is all too easy. We can, and often do, avoid the little moments of inconvenience in our lives. One article I read recently put it this way: “Tech companies are succeeding in making us think of life itself as inconvenient and something to be continuously escaping from, [putting ourselves into] digital padded rooms of predictive algorithms and single-tap commands: Reading is boring; talking is awkward; moving is tiring; leaving the house is daunting. Thinking is hard. Interacting with strangers is scary. Risking an unexpected reaction from someone isn't worth it. Speaking at all — overrated. These are all frictions that we can now eliminate, easily, and we do.” Once I read this, I saw it everywhere. For instance, have you talked with someone my age or younger on the phone recently? It's like you're asking them to eat arsenic. That's the friction I'm talking about. Why go out to eat and risk running into people you know? You can Uber Eats anything. Don't know how to respond to a text? Use ChatGPT. Why actually shop for anything when you can have it delivered to your doorstep. It is easier than ever before to go home, lock our doors, and block out the world, and all the risk and all the friction that comes with it. But that comes at a cost. We become more fearful of others and what they might do or say. Or worse how they'll think of us. Then, we become more anxious about simple interactions. And eventually we are depressed from all the fear and anxiety. It is a treacherous cycle.The disciples are in the midst of that treacherous cycle on the evening of the first Easter, hiding behind locked doors. We're told the doors are locked because they are afraid… but that doesn't seem like a credible fear, at least not on the surface.There's no evidence anyone was hunting them down. In fact, earlier that day, Mary Magdalene, Peter, and another disciple had already gone to the tomb. If they were going to run into trouble, wouldn't it have been there? So what are they really afraid of? After all, the disciples are Jews… so who is this “they” they're afraid of?What if they're not just locking the world out, but locking themselves in? What if what they fear is the judgment—the looks, the whispers, the quiet scorn from people who know they got it wrong? The ones who heard them say they would never deny Jesus… and then watched them do exactly that.And more than that—what if they're afraid of Jesus himself? What if Mary Magdalene is right? What if he really is alive? And what if he's coming back, not with peace, but to settle the score? I think what the disciples fear most is the judgment they'll face—and the possibility of running into Jesus himself. So they lock themselves in.Can you imagine their shock when Jesus shows up unannounced? Talk about friction. And it's not shame or revenge he's after. By greeting them with peace (twice), by showing his wounds, by giving them his spirit, Jesus is saying in ways more compelling than words, I forgive you. He wants to set them free from the fear and anxiety that held them in that locked room, and send them out into the world, “As the father has sent me, so I send you”, ready to forgive the sins of others. And now what about Thomas in all this?Thomas doesn't mind a little friction. Throughout the gospels, he asks the hard questions. He says what he's thinking. He shows up, even when it's uncomfortable. So maybe he wasn't in that room because he wasn't hiding. Maybe he was out looking for Jesus, unafraid.And when he hears the others, he says, I want what you've experienced. I want to see. I want to touch. He's willing to risk being wrong. Willing to step into the awkwardness. He wants the friction, literally. And Jesus gives him exactly that, an invitation to touch the wounds and believe. In fact, I think what Jesus gives all of us is an invitation to friction. All too often, we live behind locked doors, telling ourselves, like the disciples, that we're blocking the world out, when really we're locking ourselves in, away from people, away from the judgements they might have about what we do, or say, or believe. What we're really doing is locking away our heart, behind the closed doors of screens and apps,shielding it from the pain of relationships and the judgment of others, but also from the connection and love we need, that our neighbors need, that the whole world needs.And when we lock our hearts away like that, they don't become safe. They become hardened—impenetrable even, barely beating at all. The heart of this gospel story is that Jesus finds us in our locked rooms. He speaks a word of peace, setting us free from the anxiety and fear that hide us, and sends us out into the world—into the friction we will face. And that's what forgiveness is for.Jesus knows what's waiting for the disciples out there: people who will judge them, who won't believe them, who will reject them. They'll even turn on each other. So when they leave that room, they will need forgiveness. In fact, a life of friction requires it.That's the life Jesus led—one of friction—and it's the life our faith calls us into as well. Stepping out from behind our locked doors. Forming relationships, interacting with strangers, talking with the people around you, thinking for yourself, caring for another person, serving others who are in need.These may seem like small things—little inconveniences— and they are. But they are essential to the life we know in Jesus Christ, who sends us into the world just as he was sent. Because if we aren't willing to face the small frictions—the awkwardness, the inconvenience, the risk—we'll never be ready for the greater call: to love, to accompany, to show mercy, to act justly, to bear one another's burdens.Is this risky? A little. We risk being uncomfortable, awkward, even falling behind on our favorite shows.And if we really do it right, the risks are much greater—just look at Jesus. His wounds came from the greatest source of friction, the greatest inconvenience of all: love. A love so great, he died and rose again, so that we don't have to live our lives locked away in fear and anxiety.This week—and throughout this Easter season—let's frictionmaxx. Stop relying on AI and ChatGPT for all your correspondence. Have a screen-free night in your home. Invite someone new over for dinner. Have friends over when your house isn't spotless. Say yes to serving in a new way.Or, if you really want to push it, bake something and show up unannounced at someone's home—Jesus did.And when it's too much—when it's awkward, or not returned, or just doesn't go as planned—that's where grace meets us. We give and receive forgiveness, and we try again.All of this may sound insignificant. You might be wondering, is this really what Christianity is about—intentionally facing little inconveniences?No.But learning to face that friction is one way we resist the lie of a frictionless, heart-hardening life—and take a step toward the full, abundant life Jesus empowers us to live, here and now.Amen.

This week, Liat chats with Mellanie Page about ChatGPT, AI in ABA, and why your BCBA workflow might be way harder than it needs to be.From clinical work to business and marketing, Mellanie breaks down how AI is already changing the field of behavior analysis and how you can start using it to increase efficiency, improve programming, and expand your impact. They also get into the real questions: Is AI ethical in ABA? What should you not be using it for? And why are so many BCBAs still hesitant to get on board?If you've been feeling burnt out, stuck, or just curious about how to actually use ChatGPT in your day-to-day as a BCBA, this episode is your sign to start thinking bigger.Connect with Mellanie!Instagram LinkedIn Free Monthly CEUs & Innovative ConferencesOnline Business for BCBAsOBM Practitioner Program How to Use ChatGPT in ABA Therapy CEU Behavior Concepts Covered:ShapingReinforcementPunishmentTactGeneralizationAutomatic Reinforcement Automaticity of Reinforcement Behavior MomentumResponse EffortPragmatism IOAMotivating Operations7 Dimensions ABA Attitudes + Assumptions of Science Connect with Behavior Bitches:• Instagram: @behaviorbitches• Facebook: Behavior Bitches Podcast • Youtube: Behavior Bitches Podcast• Website: BehaviorBitches.com• Contact Us: For podcast inquiries, episode ideas, or just to say hi, email us at behaviorbitches@studynotesaba.com Leave us a 5-star review on Spotify or in the Apple Podcast App and make us super happy!Looking for BCBA Exam Prep, CEUs, or a BCBA Job?• Whether you need help passing the BCBA exam, are looking to earn CEUs, or want to find your perfect career match, Study Notes ABA has you covered. Check out our website for comprehensive exam prep materials, CEUs, job matching and more.• Test Prep: StudyNotesABA.com• CEUs: CEU.StudyNotesABA.com• PairABA: PairABA.co

What happens when a client finds AI more helpful than the advisor they're paying? I recently found out firsthand — and it wasn't a good sign.

The Second Act Advantage: Monetize Your Wisdom, Master Longevity, and Build an Unforgettable Legacy by Jay Samit https://www.amazon.com/Second-Act-Advantage-Longevity-Unforgettable/dp/1510786627 Jaysamit.com Unleash Your Greatest Chapter Yet. Purpose, Prosperity, and Longevity Await The Second Act Advantage shatters the outdated retirement myth and reveals how to turn your post-career years into your most productive, profitable, and purpose-filled decades. Perfect for fans of Outlive by Peter Attia and From Strength to Strength by Arthur Brooks, this revolutionary guide proves your best years aren’t behind you—they’re just beginning. International bestselling author Jay Samit challenges everything you’ve been told about retirement and delivers the essential guide to thriving in life's most rewarding stage. Drawing from cutting-edge science, inspiring real-life stories, and actionable strategies, this book flips the script on retirement and reinvention. While others settle for golf and grandkid visits, you’ll discover how artificial intelligence, social media platforms, and emerging technologies have created unprecedented opportunities for intellectual stimulation and entrepreneurial success after 50. What you’ll learn: Master AI as your business partner: Use ChatGPT, automation tools, and smart home technology to launch profitable ventures with zero employees Monetize your lifetime of wisdom: Transform decades of experience into consulting empires, online courses, and social media influence that generates passive income Leverage the “senior startup advantage”: Discover why entrepreneurs over 50 are 3x more likely to succeed than twenty-somethings and how your networks become your net worth Build a global digital lifestyle: Use geoarbitrage and remote work technologies to live richly anywhere in the world while running your empire from a laptop Drawing from stories of late-blooming entrepreneurs like Anne Beiler, who built Auntie Anne’s Pretzels empire at 65, and Dolly Parton, who launched her global Imagination Library at 50, Samit reveals why your extensive networks, financial stability, and hard-won expertise, coupled with new technologies and opportunities, create an unbeatable advantage. Technology hasn’t made you obsolete; it’s made you unstoppable. Your second act isn’t about managing decline; it’s about asking: What will the world gain because I finally had time to do it?

Drs Bob Harrington and Bob Wachter discuss the use of AI in healthcare, and Dr Wachter's latest book, A Giant Leap. This podcast is intended for healthcare professionals only. To read a transcript or to comment, visit https://www.medscape.com/author/bob-harrington A Giant Leap. How AI Is Transforming Healthcare and What That Means for Our Future https://www.penguinrandomhouse.com/books/776443/a-giant-leap-by-robert-wachter-md/ Revisiting the Time Needed to Provide Adult Primary Care https://doi.org/10.1007/s11606-022-07707-x Bob Wachter, Digital Doctor Author, Interviewed https://www.medscape.com/viewarticle/848172 Evidence based medicine: what it is and what it isn't https://doi.org/10.1136/bmj.312.7023.71 Your A.I. Radiologist Will Not Be With You Soon https://www.nytimes.com/2025/05/14/technology/ai-jobs-radiologists-mayo-clinic.html What This Computer Needs Is a Physician: Humanism and Artificial Intelligence https://doi.org/10.1001/jama.2017.19198 Reliability of LLMs as medical assistants for the general public: a randomized preregistered study https://doi.org/10.1038/s41591-025-04074-y Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers https://arxiv.org/abs/2504.18412 Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review https://doi.org/10.2196/17828 User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study https://doi.org/10.2196/47564 KFF Health Misinformation Tracking Poll: Artificial Intelligence and Health Information https://www.kff.org/public-opinion/kff-health-misinformation-tracking-poll-artificial-intelligence-and-health-information/ You may also like: Hear John Mandrola, MD's summary and perspective on the top cardiology news each week, on This Week in Cardiology https://www.medscape.com/twic Questions or feedback, please contact news@medscape.net

A while back, I went through every subscription and contractor I was paying for in my business and started cutting. About $5,000 a month, gone. But there was one tool I didn't cancel, and I actually doubled down on it. That tool is ChatGPT. And in this episode, I'm introducing you to the person who taught me how to use it the right way. Sarah Cook is a former naturopathic doctor with over 20 years in the wellness space. These days, she helps practitioners stop getting generic, robotic output from ChatGPT and start getting content that actually sounds like them. Inside this episode: Why better prompts will never fix the generic-output problem How to train ChatGPT to actually know your voice, your niche, and your offers over time Why you're the CEO, and ChatGPT is the assistant What a BrandVibe Kit is and why it might you might want to make one In about a year of doing this right, I've saved somewhere around $60,000. Go check it out for yourself: https://HealthCoachPower.com/AI Connect with me: Facebook group: https://HealthCoachPowerCommunity.com/ Website: https://HealthCoachPower.com/Instagram: https://www.instagram.com/HealthCoachPowerCommunity/

Support #Millennial!⁠⁠⁠ Visit Patreon.com/millennial to get exclusive bonus episodes, live stream access, and more! Visit our merch store: ⁠⁠https://shop.millennialshow.com⁠⁠ Follow the show in your favorite podcast app and leave us a review! Thoughts and prayers to anyone flying this week (sorry Andrew)! This week's Dumpster Fire Corner takes us straight to the airport chaos you didn't ask for. With TSA agents working unpaid during the ongoing shutdown and hundreds quitting, wait times are spiraling and now ICE has been deployed to just... stand around? Are they helping or just vibing ominously in groups? It's Andrew's final episode of #Millennial, so we wanted to send him on his way with the most unhinged (and maybe useful) tips and tricks for using the world of AI to his advantage. People are using ChatGPT to win insurance appeals, write obituaries, and decode messy text threads. We also share our own random use cases (seriously, asking chat to look at pictures of dog poop? Ew!) Then, we unpack the rise of “typomaxxing,” where bad spelling is suddenly a power move to prove you're human. This week's recommendations are important staples! Support independent podcasts (Andrew), Naturium's Glow Getter oil based cleanser (Laura), and getting a 3-in-1 soil tester (Pam). And in this week's installment of After Dark: The Roast of Andrew Sims! Y'all knew we weren't gonna let him get out the door without facing the music. Come one, come all for the airing of #Millennial family grievances one last time. Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode is all about one of my favorite tools lately: ChatGPT. I know many women, especially in midlife, feel hesitant about AI. But, I've found it to be an incredibly helpful tool for everyday life! I use AI for everything from improving recipes and planning meals to creating travel packing lists. It even helped me redesign my laundry room! It's become a simple way to save time and stay organized. In this episode, I'm sharing the practical ways I use ChatGPT each week and how it can make your daily life a little easier, too.   LINKS & RESOURCES MENTIONED: Banana Nut Bread Recipe   WHERE TO LISTEN The SavvyCast is available on all podcasting platforms and YouTube. One of the best ways to support the show is by leaving a rating and review—I so appreciate you sharing your thoughts, my friends!   ENJOYED THIS EPISODE? CHECK THESE OUT! Our New Year Rhythms: Simple Daily Habits We're Prioritizing as a Couple Listen on Apple Podcasts or Spotify Watch on YouTube Real Talk on Midlife: Hormones, Marriage, and Looking & Feeling Your Best with Deanna Pizitz Listen on Apple Podcasts or Spotify Watch on YouTube

In this episode of The Katie Lance Podcast, I'm sharing highlights from my recent #CoffeeWithKatie training, AI Made Simple: Your Everyday ChatGPT Workflow. If ChatGPT feels overwhelming, generic, or like it makes you sound robotic, this episode will help you rethink how to use it the right way.I break down a simple 5-step workflow Realtors can use immediately to save time on captions, emails, listing descriptions, video ideas, and content repurposing - without losing their voice. You'll also hear practical examples and a simple action plan you can implement this week. AI doesn't need to replace you. It should support you.If you've ever thought, “I don't want to sound like AI,” this episode is for you.Links Mentioned:AI Made Simple: Your Everyday ChatGPT Workflow (replay + slides + The Everyday ChatGPT Prompt Playbook)Gemini + Google Tools: The Productivity Stack You Already Own in 2026

These days people are using AI chatbots for everything. These chatbots have a wealth of information at their metaphorical fingertips. But the accuracy of the information that they offer us is, well, questionable. But it makes sense why some people turn to AI for medical advice. They’re usually free, which gives them an upper hand when healthcare in the United States is so expensive. They’re also easy to access, so people can get their questions answered immediately, instead of waiting for an opening at their doctor’s office. And they’re trained to be empathic, which is especially appealing to patients who don’t feel valued in medical settings. In this "Ask a Doctor" segment, we explore the world of health advice and chatbots with two medical professionals. Guests: Angad Singh is a family medicine physician. He's also an Associate Chief Clinical Information Officer and Clinical Associate Professor at UW Medicine. Danielle Bitterman is an assistant Professor at Harvard Medical School and Clinical Lead for Data Science and AI at Mass General Brigham. Related links: A.I. Chatbots Are Changing How Patients Get Medical Advice - The New York Times How to Use ChatGPT for Health Advice | Right as Rain Health Advice From A.I. Chatbots Is Frequently Wrong, Study Shows - The New York Times Thank you to the supporters of KUOW, you help make this show possible! If you want to help out, go to kuow.org/donate/soundsidenotes Soundside is a production of KUOW in Seattle, a proud member of the NPR Network.See omnystudio.com/listener for privacy information.

How much business are you leaving on the table by not following up consistently? It's a question that comes up in nearly every sales conversation I have. The secret sauce to growing your business is productivity. The more productive you are, the more consistent your follow-up, and the faster your pipeline grows. That's where AI — especially ChatGPT — can help. ✅ 1. Ask it to write a 3-email follow-up sequence for your leads. ✅ 2. After every call, have it summarize your notes and action items with deadlines. ✅ 3. When following up with value, have it summarize an article into 2–3 insights your client would find useful. AI won't replace your authenticity — it amplifies it.

AI is changing the game for personal trainers.In this episode of the Certified Personal Trainer Podcast, Eddie Lester breaks down the four must-have AI tools that are helping trainers save time, grow their business, improve marketing, and scale smarter.If you've ever felt overwhelmed by programming, content creation, marketing, or design — this episode is for you.These tools can save you 5–10 hours per week and dramatically improve your professionalism and efficiency.

If you've ever used ChatGPT to talk through your feelings, calm your nervous system, or get clarity during a hard moment — you're not alone.In this masterclass, I'm sharing how to use ChatGPT for therapy-style support in a way that's actually helpful, emotionally safe, and grounded. From prompts to use when you're overwhelmed, to the best ways to reflect, reframe, and regulate — this is a practical guide for using AI as a support tool when you need it most.

Stranger Things' documentary made the Duffer Brothers look even WORSE, as their own staff and the series actors tried to talk sense into them and were seemingly ignored. There are even accusations that the Duffers used ChatGPT to write the script for the final episode... which they started filming before it was complete. D'OH!Watch the podcast episodes on YouTube and all major podcast hosts including Spotify.CLOWNFISH TV is an independent, opinionated news and commentary podcast that covers Entertainment and Tech from a consumer's point of view. We talk about Gaming, Comics, Anime, TV, Movies, Animation and more. Hosted by Kneon and Geeky Sparkles.Get more news, views and reviews on Clownfish TV News - https://more.clownfishtv.com/On YouTube - https://www.youtube.com/c/ClownfishTVOn Spotify - https://open.spotify.com/show/4Tu83D1NcCmh7K1zHIedvgOn Apple Podcasts - https://podcasts.apple.com/us/podcast/clownfish-tv-audio-edition/id1726838629

Hate to say it: you're not using ChatGPT right.

Ever wondered why "smart" people (high IQ, degrees, etc) often feel unfulfilled? In this episode, we unpack the real measure of intelligence: designing a life you actually want to live. From ditching traditional success metrics to embracing emotional intelligence, adaptive skills, and your "zone of genius," we explore how rethinking smarts can lead to more freedom, fulfillment, and a lifestyle that makes you happy.

Grow faster than 99% of Etsy shops

Get the free ChatGPT bundle: https://clickhubspot.com/rdc Episode 90: Are you really getting the most out of ChatGPT—or are you only scratching the surface? Nathan Lands (https://x.com/NathanLands) hosts this hands-on episode, showing exactly how he uses ChatGPT like the top 1% of business owners to supercharge his productivity and decision-making. This solo episode takes you inside Nathan's' AI-powered workflow for building his latest company, Lore. Nathan walks through his unique approach to ChatGPT Projects, demonstrating how to set them up, how to add meaningful context with files, meeting notes, images, diagrams, financial models, and more. Discover insider techniques that allow AI to act as a true business advisor, drawing connections and surfacing opportunities you might otherwise miss. Whether for business or personal projects, Nathan's step-by-step guide will help you unlock better, more strategic results from ChatGPT—often leaving others shocked at what's possible. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Using ChatGPT: A to Z (05:10) AI Limitations in Financial Modeling (06:25) Streamlining Contacts with AI (12:36) Using ChatGPT for Projects (13:28) Shared Project History Concerns — Mentions: ChatGPT Projects: https://help.openai.com/en/articles/10169521-projects-in-chatgpt Lore: https://lore.com/ Wispr Flow: https://wisprflow.ai/ Claude: https://claude.ai/ Nano Banana Pro: https://gemini.google/overview/image-generation/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

In this episode of The Chicks on the Right Podcast, we sit down with Zach Abraham of Bulwark Capital Management to talk all things AI — from ChatGPT and Gemini to how AI is transforming finance, investing, and even healthcare. Zach shares how he's using AI to analyze stocks, research funds, and save hours of work, while discussing the limitations, risks, and security concerns that come with this rapidly evolving technology.We also dig into the big picture: should we embrace AI like the internet 25 years ago, or fear its potential? Tune in for a thought-provoking, funny, and practical conversation about the tools that are shaping our future — and how to use them to your advantage.Get back to basics with Bulwark's Know Your Risk Portfolio Review—don't put it off, go to https://KnowYourRiskPodcast.com today.Subscribe and stay tuned for new episodes every weekday!Follow us here for more daily clips, updates, and commentary:YoutubeFacebookInstagramTikTokXLocalsMore Info

In this episode of The Chicks on the Right Podcast, we sit down with Zach Abraham of Bulwark Capital Management to talk all things AI — from ChatGPT and Gemini to how AI is transforming finance, investing, and even healthcare. Zach shares how he's using AI to analyze stocks, research funds, and save hours of […]

In Episode 174 of the Best Coach Ever podcast, we pull back the curtain on how Lynette actually uses AI in her business—and just as importantly, how she doesn't. This episode is a must-listen for coaches who feel overwhelmed by AI hype, confused about how to use tools like ChatGPT responsibly, or worried about sounding like a robot online.We break down why letting AI write your captions, DMs, or client responses is a fast track to losing trust, and instead share how to use AI as a second brain to think better, move faster, and support clients more deeply—without sacrificing authenticity. From content creation to client coaching, curriculum building, and decision-making, this episode is a practical, grounded guide to using AI in a way that actually improves your business (and your sanity).If you want to leverage AI without turning your brand into generic slop, this episode will completely change how you think about it.If you love this episode, don't forget to leave a 5-star rating and a quick review. It's the best way to support the podcast and help us keep bringing you honest conversations about your coaching business.In this episode, we cover:1) Why AI Is Not Your Caption Writer or Therapist [0:00 – 5:10]-Why AI-written captions are painfully obvious—and why that gap will only grow.-The danger of using AI as emotional validation instead of real support.2) Using AI as a Second Brain (Not Your Actual Brain) [5:11 – 9:45]-How Lynette uses AI to improve thinking, decision-making, and speed.-Why the CEO still has to be you—not ChatGPT.3) Using AI for Better Content (Without Killing Your Voice) [9:46 – 15:30]-Why Lynette prefers Claude over ChatGPT for content support.-Using AI to organize, refine, and sharpen ideas you already have.4) Editing Content & Talking Head Videos with AI [15:31 – 19:50]-How AI helps identify buried leads and unclear messaging.-Ruthlessly tightening talking head videos for stronger retention.5) Using AI to Elevate Client Coaching & Accountability [19:51 – 24:40]-Recording, transcribing, and summarizing coaching calls for better follow-through.-Helping clients actually apply coaching instead of forgetting it.6) Using AI for Better Client Communication & Conflict Interpretation [24:41 – 28:10]-Using AI to interpret tricky client messages without getting defensive.-how to stay neutral, supportive, and solution-focused as a coach.7) Building Curriculum, Resources & Trainings Faster with AI [28:11 – END]-How to create templates, workshops, and tools in minutes vs. weeks.-How to Improve curriculum clarity and implementation using AI feedback loops.Connect with Lynette:Instagram: https://www.instagram.com/lynettemariehFitness Coaching Business Accelerator: https://fcbaprogram.comThe Wellness CEO Mastermind: https://wcmprogram.com

In this episode, Jerred and Dave discuss the implications of using ChatGPT for workout programming. They explore the limitations of AI in creating personalized training plans, particularly for advanced athletes. The conversation delves into specific examples, such as the Murph workout, and highlights the importance of volume, recovery, and community in fitness. Ultimately, they emphasize that while AI can assist in programming, it cannot replace the value of human experience and community support in achieving fitness goals. 00:00 Introduction to Chat GPT and Workout Programming 02:40 Challenges with Chat GPT in Personalized Programming 05:49 Evaluating Chat GPT's Workout Programs 08:35 Analyzing Specific Workouts for Murph Training 11:25 Strength and Conditioning Insights 14:18 Murph Simulation and Its Effectiveness 17:09 Final Thoughts on Chat GPT vs. Human Programming 23:51 Understanding the Importance of Strength and Conditioning 28:00 Analyzing a Training Program: The First Week Breakdown 33:29 The Nuances of Concurrent Training and Injury Prevention 38:21 Community Engagement and Future Plans for Garage Gym Athlete

Increasingly more and more people are chatting with AI to help them talk through and manage mental health struggles. But is this okay? Does it actually help? And on the flip side — does it pose any dangers to your mental health? In this episode, I'm diving deep into whether or not using ChatGPT, or any AI bot, for therapy is a wise choice, along with the potential consequences.   In this episode, you will learn: The risks of using AI for therapy The differences between chatting with AI and going to therapy Future considerations to use AI for mental health   *** Correction: In this episode, I mention "a teen who killed his mother," but the case involved an adult, not a teen.   Sources: Talk Therapy, Meet ChatGPT: https://research.ebsco.com/c/5x2dc3/viewer/html/q342kfukw5 Gen Z is increasingly turning to ChatGPT for affordable on-demand therapy, but licensed therapists say there are dangers many aren't considering: https://research.ebsco.com/c/5x2dc3/viewer/html/gatwdcpoon AI chatbots are sycophants — researchers say it's harming science: https://www.nature.com/articles/d41586-025-03390-0   Mentioned in episode: The Shallows by Nicholas Carr: https://www.nicholascarr.com/?page_id=16 Smartphone Anxiety Is Real — Here's What Helped Me: https://www.becalmwithtati.com/phone-boundaries/ YouTube: https://youtu.be/xnkSGAk2ufo   Therapy Directories: Open Path Collective – Low-cost therapy directory: https://openpathcollective.org Psychology Today Therapist Directory – https://psychologytoday.com TherapyDen – Inclusive therapist directory: https://therapyden.com Inclusive Therapists – Focused on cultural responsiveness + trauma-informed care: https://inclusivetherapists.com Mental Health Match – Matches you with therapists in your area: https://mentalhealthmatch.com Clinicians of Color Directory – https://www.cliniciansofcolor.org National Queer & Trans Therapists of Color Network (NQTTCN) – https://nqttcn.com OpenCounseling – Low-cost and community-based counseling resources: https://opencounseling.com ———————   Calmly Coping is a self-improvement podcast for high achievers who struggle with high-functioning anxiety to help you feel more calm, balanced, and confident from within. ———————  

Alex, Andrew and Matt learn how to ChatGPT while also teaching you how to ChatGPT.

As humans, we don't connect over the specific details of a story. We connect over the feelings behind them. That includes disappointment, joy, struggle, or success.That is why sharing your experiences makes people feel seen and heard. In your content, when you share, "I have the same worries. I feel this too." That allows you to engage more. That vulnerability gains their trust and shows that you have a solution to their pain points.In this Diamond Life Mentor Uncut episode, Balazs W Kardos is back with another Accelerator call to share why your life makes the best content to relate to your audience.You will hear powerful insights and motivation around:Embracing emotionsLeading through challenges in network marketingRepurposing content when creating digital assetsEngaging with any demographicBuilding relationships through contentFacing rejections in content creationBalazs' strategy is to show up, not overthink, and make content happen. You don't need fancy editing or complex equipment. He wants you to have a simple system to turn your thoughts and life story into something that helps people:Document your daily routine.Use ChatGPT to create content pillars from your day-to-day activities as a leader and business owner.Set up the simplest equipment you have for photo, video, and audio, and choose a location with good lighting and less noise.Build authority by sharing lessons from the challenges you faced.Share tips assuming your audience knows nothing about you and what you do.Creating ads for your business also follows this principle. It remains relatable because this approach gets you closer to your sales pipeline.Lastly, stop waiting for people to comment. You must actively look for the people you want to work with. Send them a message and address their problems."Go look for them. Let them know that you're online and want to be friends. Take that offensive approach. I'm coming for you, not waiting for you to come to me." - Balazs W KardosCatch this episode to build a business that reflects your life as the content that changes people's lives. Want a Personalized Plan for Business & Life Optimization?Book A FREE Call Connect with Balazs W Kardos:WebsiteFacebookThe Diamond Life CommunityLinkedInYouTubeInstagramThe Diamond Life Mentor Instagram

What to BRING to the host of Thanksgiving.What most people use ChatGPT for.The Morning Pick Me Up just after 7. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Chad Prezlomski reveals how elite sellers separate themselves from the pack by delivering a world-class buyer experience.

AI in sales isn't coming soon. It's already here, and it's quietly separating the salespeople who will thrive from those who won't. On the Sales Gravy Podcast, sales expert and author Victor Antonio shares this quote: "You won't lose your job to AI. You'll lose your job to people who are using AI."  While everyone debates whether artificial intelligence will replace salespeople, the real shift is already happening. What you need to know is which parts of your job will still matter when a machine can do everything else. The Trust Formula Still Requires Humans Most people think AI in sales is about automation. It's not. It's about augmentation. Yes, AI can write your emails. It can analyze your pipeline. It can schedule your meetings and generate your proposals. But it can't build trust with a buyer who's about to make a six-figure decision they're terrified of getting wrong. Trust in selling comes down to three things: Understanding the buyer's point of view Demonstrating real expertise Keeping the buyer's best interest front and center When a buyer is staring at a purchase order that could make or break their business, they don't want a chatbot. They want a human being who says, "I've got you. This is the right move." Simple Sales No Longer Require a Sales Rep  Transactional jobs are disappearing. AI sales agents can already handle simple sales from start to finish. A customer calls about a broken window seal. The AI analyzes the image, checks inventory, schedules a technician, verifies the warranty, and puts the appointment on the calendar. No human required. This isn't science fiction. These systems exist today. AI handles simple tasks easily, but complex sales still require humans. Everything on the straightforward end—cold outreach, basic prospecting, routine follow-ups—is getting automated fast. But complex B2B sales are different. When deals involve multiple stakeholders, custom solutions, and high-stakes decisions, buyers still need salespeople. Humans don't trust machines with decisions that keep them up at night. Your job security lives in complexity. If you're selling simple products with simple processes, you need to start adding value now.  What You Should Be Doing Right Now Most salespeople are waiting while AI transforms the industry. Don't make that mistake. Here's how to start experimenting with AI today: Use ChatGPT, Google's Notebook LM, or your AI of choice to digest long articles and research reports in minutes instead of hours. Feed it information about your products and competitors to create your own custom knowledge base. Role-play objection handling by assigning it different buyer personas and practicing your responses. Ask it to critique your proposals before you send them to catch weak points you might miss. These tools aren't perfect. They'll feel clunky at first. But you're not trying to master AI today. You're building comfort with technology that will be 100 times more powerful in just a few years. The salespeople who are experimenting now will be the ones who know how to use AI when it really matters. The ones waiting for their leaders to force them to adopt AI will scramble to catch up. The Skills That Survive AI So what actually matters when AI handles the busywork? The biggest obstacle in complex sales isn't convincing buyers that your solution works. It's helping them trust their own judgment enough to decide. Buyers freeze not because of your pitch, but because of fear: What if I'm wrong? AI can show data, ROI models, and comparison charts—but building buyer confidence still requires human judgment. That's the skill that matters: Building buyer confidence. You need to get exceptional at reading hesitation—when a buyer goes quiet or starts asking the same questions in different ways. They're not confused about your product. They're uncertain about themselves. Your job is to help them trust their judgment. That means understanding internal politics, knowing who has veto power, and recognizing when more information helps, or when it just creates more doubt. The other critical skill? Using AI tools effectively. Knowing what AI can handle lets you offload routine work and focus on moments that require your human judgment. The salespeople who win will be the ones who master both. Human skills for the moments that matter. AI skills for everything else. The Bottom Line AI isn't your replacement. It's your upgrade. The sales skills you need most are the ones that have always mattered: understanding people, building trust, solving complex problems, and giving buyers confidence in risky decisions. What's changing is everything else. The admin work, research, and proposals are getting automated whether you like it or not. Irreplaceable reps are the ones who use AI to eliminate grunt work so they can spend more time doing what only humans can do. The ones who lose are the ones still doing everything manually while insisting they don't need help from a machine. Pick one AI tool this week and start using it. Get uncomfortable. Make mistakes. Learn. The future of sales is happening right now. And the only question that matters is whether you are ready. Want to master AI in sales? Get The AI Edge for the complete blueprint on leveraging artificial intelligence to dominate your competition and accelerate your sales results.

AI in sales isn't coming soon. It's already here, and it's quietly separating the salespeople who will thrive from those who won't. On the Sales Gravy Podcast, sales expert and author Victor Antonio shares this quote: "You won't lose your job to AI. You'll lose your job to people who are using AI."  While everyone debates whether artificial intelligence will replace salespeople, the real shift is already happening. What you need to know is which parts of your job will still matter when a machine can do everything else. The Trust Formula Still Requires Humans Most people think AI in sales is about automation. It's not. It's about augmentation. Yes, AI can write your emails. It can analyze your pipeline. It can schedule your meetings and generate your proposals. But it can't build trust with a buyer who's about to make a six-figure decision they're terrified of getting wrong. Trust in selling comes down to three things: Understanding the buyer's point of view Demonstrating real expertise Keeping the buyer's best interest front and center When a buyer is staring at a purchase order that could make or break their business, they don't want a chatbot. They want a human being who says, "I've got you. This is the right move." Simple Sales No Longer Require a Sales Rep  Transactional jobs are disappearing. AI sales agents can already handle simple sales from start to finish. A customer calls about a broken window seal. The AI analyzes the image, checks inventory, schedules a technician, verifies the warranty, and puts the appointment on the calendar. No human required. This isn't science fiction. These systems exist today. AI handles simple tasks easily, but complex sales still require humans. Everything on the straightforward end—cold outreach, basic prospecting, routine follow-ups—is getting automated fast. But complex B2B sales are different. When deals involve multiple stakeholders, custom solutions, and high-stakes decisions, buyers still need salespeople. Humans don't trust machines with decisions that keep them up at night. Your job security lives in complexity. If you're selling simple products with simple processes, you need to start adding value now.  What You Should Be Doing Right Now Most salespeople are waiting while AI transforms the industry. Don't make that mistake. Here's how to start experimenting with AI today: Use ChatGPT, Google's Notebook LM, or your AI of choice to digest long articles and research reports in minutes instead of hours. Feed it information about your products and competitors to create your own custom knowledge base. Role-play objection handling by assigning it different buyer personas and practicing your responses. Ask it to critique your proposals before you send them to catch weak points you might miss. These tools aren't perfect. They'll feel clunky at first. But you're not trying to master AI today. You're building comfort with technology that will be 100 times more powerful in just a few years. The salespeople who are experimenting now will be the ones who know how to use AI when it really matters. The ones waiting for their leaders to force them to adopt AI will scramble to catch up. The Skills That Survive AI So what actually matters when AI handles the busywork? The biggest obstacle in complex sales isn't convincing buyers that your solution works. It's helping them trust their own judgment enough to decide. Buyers freeze not because of your pitch, but because of fear: What if I'm wrong? AI can show data, ROI models, and comparison charts—but building buyer confidence still requires human judgment. That's the skill that matters: Building buyer confidence. You need to get exceptional at reading hesitation—when a buyer goes quiet or starts asking the same questions in different ways. They're not confused about your product. They're uncertain about themselves.

Technology is a great tool but don't promote it to the CEO.   As William Ernest Henley said in his poem Invictus ... I am the master of my fate,   I am the captain of my soul.  And I would suggest you should also act that way.   On this week's Business Acquisition Podcast, I'll share my thoughts on technology and specifically ChatGPT with some tips on how to utilize ChatGPT best.   I'll also give you a challenge!    It's all in this week's podcast, so if you think you're ready for some hard truths, give it a listen!    To Your Success,   Bruce Whipple https://brucewhipple.com/

The crew explores how ChatGPT is reshaping modern spaces—both at work and in daily life, as well as in the realm of creativity. We highlight real examples of AI streamlining workflows, sparking innovation, and balancing technology with human creativity. Tune in to see how ChatGPT is helping people and businesses thrive in today's evolving digital world.Wait, what's a Financial Griot?The Financial Griot is a play on two words (Finance + Griot) that hold significance in closing the wealth gap while embracing our differences. Alainta Alcin, Lovely Merdelus, and Lawrence Delva-Gonzalez share their perspectives on current events that impact your personal finances and wealth mindset. In the New York Times, Bankrate, and other publications, the hosts share the stories that others don't. Stories about growth, opportunity, and even Wars. Beyond that, we tie it back to how it reflects on your finances. Specifically, we teach you how to become financially literate, incorporate actionable steps, and ultimately build generational wealth.Can you imagine being a Millionaire in 20 years or less?Yeah, it's possible. Eighty percent of millionaires are first-generation, meaning they didn't inherit wealth. We teach you how. Join a community of subscribers who welcome a fresh take on money.So there you have it, The Financial Griot, or TFG for short. The hosts amassed over $3 million in wealth in about eight years and are on track to retire early. We will gladly share the secrets if you want them, since the opportunity is abundant and a Win-Win.Find the TFG Crew Hosts on Instagram: Alainta Alcin - Blogger, Travel and Money Enthusiast https://www.linkedin.com/in/alaintaalcinLawrence Delva-Gonzalez, Financial Foodie and Travel Blogger @theneighborhoodfinanceguyLovely Merdelus - Entrepreneur and Small Business Growth Specialist @lovelymerdelus

AI Assisted Coding: From Deterministic to AI-Driven—The New Paradigm of Software Development, With Markus Hjort In this BONUS episode, we dive deep into the emerging world of AI-assisted coding with Markus Hjort, CTO of Bitmagic. Markus shares his hands-on experience with what's being called "vibe coding" - a paradigm shift where developers work more like technical product owners, guiding AI agents to produce code while focusing on architecture, design patterns, and overall system quality. This conversation explores not just the tools, but the fundamental changes in how we approach software engineering as a team sport. Defining Vibecoding: More Than Just Autocomplete "I'm specifying the features by prompting, using different kinds of agentic tools. And the agent is producing the code. I will check how it works and glance at the code, but I'm a really technical product owner." Vibecoding represents a spectrum of AI-assisted development approaches. Markus positions himself between pure "vibecoding" (where developers don't look at code at all) and traditional coding. He produces about 90% of his code using AI tools, but maintains technical oversight by reviewing architectural patterns and design decisions. The key difference from traditional autocomplete tools is the shift from deterministic programming languages to non-deterministic natural language prompting, which requires an entirely different way of thinking about software development. The Paradigm Shift: When AI Changed Everything "It's a different paradigm! Looking back, it started with autocomplete where Copilot could implement simple functions. But the real change came with agentic coding tools like Cursor and Claude Code." Markus traces his journey through three distinct phases. First came GitHub Copilot's autocomplete features for simple functions - helpful but limited. Next, ChatGPT enabled discussing architectural problems and getting code suggestions for unfamiliar technologies. The breakthrough arrived with agentic tools like Cursor and Claude Code that can autonomously implement entire features. This progression mirrors the historical shift from assembly to high-level languages, but with a crucial difference: the move from deterministic to non-deterministic communication with machines. Where Vibecoding Works Best: Knowing Your Risks "I move between different levels as I go through different tasks. In areas like CSS styling where I'm not very professional, I trust the AI more. But in core architecture where quality matters most, I look more thoroughly." Vibecoding effectiveness varies dramatically by context. Markus applies different levels of scrutiny based on his expertise and the criticality of the code. For frontend work and styling where he has less expertise, he relies more heavily on AI output and visual verification. For backend architecture and core system components, he maintains closer oversight. This risk-aware approach is essential for startup environments where developers must wear multiple hats. The beauty of this flexibility is that AI enables developers to contribute meaningfully across domains while maintaining appropriate caution in critical areas. Teaching Your Tools: Making AI-Assisted Coding Work "You first teach your tool to do the things you value. Setting system prompts with information about patterns you want, testing approaches you prefer, and integration methods you use." Success with AI-assisted coding requires intentional configuration and practice. Key strategies include: System prompts: Configure tools with your preferred patterns, testing approaches, and architectural decisions Context management: Watch context length carefully; when the AI starts making mistakes, reset the conversation Checkpoint discipline: Commit working code frequently to Git - at least every 30 minutes, ideally after every small working feature Dual AI strategy: Use ChatGPT or Claude for architectural discussions, then bring those ideas to coding tools for implementation Iteration limits: Stop and reassess after roughly 5 failed iterations rather than letting AI continue indefinitely Small steps: Split features into minimal increments and commit each piece separately In this segment we refer to the episode with Alan Cyment on AI Assisted Coding, and the Pachinko coding anti-pattern.  Team Dynamics: Bigger Chunks and Faster Coordination "The speed changes a lot of things. If everything goes well, you can produce so much more stuff. So you have to have bigger tasks. Coordination changes - we need bigger chunks because of how much faster coding is." AI-assisted coding fundamentally reshapes team workflows. The dramatic increase in coding speed means developers need larger, more substantial tasks to maintain flow and maximize productivity. Traditional approaches of splitting stories into tiny tasks become counterproductive when implementation speed increases 5-10x. This shift impacts planning, requiring teams to think in terms of complete features rather than granular technical tasks. The coordination challenge becomes managing handoffs and integration points when individuals can ship significant functionality in hours rather than days. The Non-Deterministic Challenge: A New Grammar "When you're moving from low-level language to higher-level language, they are still deterministic. But now with LLMs, it's not deterministic. This changes how we have to think about coding completely." The shift to natural language prompting introduces fundamental uncertainty absent from traditional programming. Unlike the progression from assembly to C to Python - all deterministic - working with LLMs means accepting probabilistic outputs. This requires developers to adopt new mental models: thinking in terms of guidance rather than precise instructions, maintaining checkpoints for rollback, and developing intuition for when AI is "hallucinating" versus producing valid solutions. Some developers struggle with this loss of control, while others find liberation in focusing on what to build rather than how to build it. Code Reviews and Testing: What Changes? "With AI, I spend more time on the actual product doing exploratory testing. The AI is doing the coding, so I can focus on whether it works as intended rather than syntax and patterns." Traditional code review loses relevance when AI generates syntactically correct, pattern-compliant code. The focus shifts to testing actual functionality and user experience. Markus emphasizes: Manual exploratory testing becomes more important as developers can't rely on having written and understood every line Test discipline is critical - AI can write tests that always pass (assert true), so verification is essential Test-first approach helps ensure tests actually verify behavior rather than just existing Periodic test validation: Randomly modify test outputs to verify they fail when they should Loosening review processes to avoid bottlenecks when code generation accelerates dramatically Anti-Patterns and Pitfalls to Avoid Several common mistakes emerge when developers start with AI-assisted coding: Continuing too long: When AI makes 5+ iterations without progress, stop and reset rather than letting it spiral Skipping commits: Without frequent Git checkpoints, recovery from AI mistakes becomes extremely difficult Over-reliance without verification: Trusting AI-generated tests without confirming they actually test something meaningful Ignoring context limits: Continuing to add context until the AI becomes confused and produces poor results Maintaining traditional task sizes: Splitting work too granularly when AI enables completing larger chunks Forgetting exploration: Reading about tools rather than experimenting hands-on with your own projects The Future: Autonomous Agents and Automatic Testing "I hope that these LLMs will become larger context windows and smarter. Tools like Replit are pushing boundaries - they can potentially do automatic testing and verification for you." Markus sees rapid evolution toward more autonomous development agents. Current trends include: Expanded context windows enabling AI to understand entire codebases without manual context curation Automatic testing generation where AI not only writes code but also creates and runs comprehensive test suites Self-verification loops where agents test their own work and iterate without human intervention Design-to-implementation pipelines where UI mockups directly generate working code Agentic tools that can break down complex features autonomously and implement them incrementally The key insight: we're moving from "AI helps me code" to "AI codes while I guide and verify" - a fundamental shift in the developer's role from implementer to architect and quality assurance. Getting Started: Experiment and Learn by Doing "I haven't found a single resource that covers everything. My recommendation is to try Claude Code or Cursor yourself with your own small projects. You don't know the experience until you try it." Rather than pointing to comprehensive guides (which don't yet exist for this rapidly evolving field), Markus advocates hands-on experimentation. Start with personal projects where stakes are low. Try multiple tools to understand their strengths. Build intuition through practice rather than theory. The field changes so rapidly that reading about tools quickly becomes outdated - but developing the mindset and practices for working with AI assistance provides durable value regardless of which specific tools dominate in the future. About Markus Hjort Markus is Co-founder and CTO of Bitmagic, and has over 20 years of software development expertise. Starting with Commodore 64 game programming, his career spans gaming, fintech, and more. As a programmer, consultant, agile coach, and leader, Markus has successfully guided numerous tech startups from concept to launch. You can connect with Markus Hjort on LinkedIn.

In this episode, Sathiya explores the intersection of AI and recovery, particularly in the context of overcoming pornography addiction. He discusses the potential benefits of using AI for personal growth and recovery, while also emphasizing the irreplaceable value of human connection and community support. The conversation covers practical applications of AI, such as progress tracking and resource discovery, and highlights the limitations of AI in providing the emotional and relational support necessary for true recovery.   COME TO OUR DEEP CLEAN RETREAT (8 SPOTS ONLY)   Chapter:  (00:00) Introduction to AI in Recovery (01:58) The Impact of AI on Society (03:46) Using AI for Personal Goals (05:41) Limitations of AI in Recovery (08:28) Practical Applications of AI in Recovery (10:54) The Importance of Human Connection

In this episode, Giana and Bradshaw delve into the growing trend of yoga teachers using ChatGPT to create their class sequences, scripts, and themes. They unpack the difference between using AI as a supportive tool versus outsourcing your own creativity and intuition. Giana talks about developing trust in your own voice, instincts, and body wisdom, saying, “ChatGPT doesn't have a body. So why are we asking it to tell us how to move ours?”They explore the importance of building confidence as a new teacher and understanding how to do this. They urge listeners to use AI thoughtfully and know how to edit or when to rely on it. Without editing, critical thinking, and embodied experience is thrown out the window, and it actually stunts your growth as a teacher.To put it to the test, they ask ChatGPT to create a 60-minute full-body yoga class and go through the sequence section by section to explain exactly why you can't outsource AI for this- especially if you want to be a good teacher! It's not all negative, though; they also highlight the many ways AI can support your teaching career, from simplifying admin tasks and refining marketing copy to sparking ideas for themes, workshops, and other offerings.Expect honest conversation, a few laughs, and a reminder that your real power as a yoga teacher doesn't come from a perfect script, it comes from your embodiment, your lived experience, and your ability to connect!Support our podcast? Join Patreon for more content - Liforme Yoga Mat giveaway by October 10th!* CHECK OUT OUR 300-HOUR PROGRAM * Early Bird ends October 20th!

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) OpenAI tells us how people use ChatGPT 2) Practical guidance is the top use of ChatGPT 3) Is generative AI actually a threat to search given the use cases? 4) OpenAI has a very broad definition of 'doing' or agent work 5) The hidden impact of AI 'decision support' in the economy 6) People trust AI bots massively - is that bad? 7) ChatGPT's massive growth 8) Anthropic shares Claude's economic uses 9) Automation is surpassing augmentation for AI in work 10) Will Meta's AI glasses hit? 11) Can Jimmy Kimmel build an audience off-ABC? 12) Will the next Jimmy Kimmel be a youtube/rpodcaster? --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Three Faces Of Generative AI: https://www.bigtechnology.com/p/the-three-faces-of-generative-ai Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

This episode of AI Daily Brief dives into two important reports on how people are really using AI tools like ChatGPT and Claude. OpenAI's massive study with Harvard and NBER reveals consumer patterns across 1.5 million conversations, while Anthropic's Economic Index tracks broader economic and automation trends. We break down key insights on global adoption, everyday use cases, work vs. personal usage, and what these findings mean for startups, enterprise AI, and the future of automation.Brought to you by:Google Gemini - Try NotebookLM today https://notebooklm.google.com/KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? nlw@aidailybrief.ai

Fresh off a vacation with friends, Jordana shares the best ways to manage group outings and Dr. Naomi celebrates her ability to maintain such important friendships into adulthood. A listener admits that she has been using ChatGPT as therapy and Dr. Naomi advises how this could be more harmful than helpful. A Betch seeks help with her feelings after she learns her father betrayed her Mother her entire life, all while still being a good dad to her. Dr. Naomi pens an intention for a listener who recently took a new job at a reduced salary, only to discover her negotiation skills weren't as strong as her new colleagues'. Triggered by her boyfriend's lack of help around the house, Betch wonders if she's over reacting or right to be annoyed . Finally, a woman is left enraged after she shares some dining info with fellow travelers on a vacation, only to find them sitting at her intended table and suddenly unable to remember their recent encounter. Subscribe to Oversharing on YouTube: https://www.youtube.com/@OversharingPod Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome back to America's #1 Daily Podcast,  featuring America's #1 Real Estate Coaches and Top EXP Realty Sponsors in the World, Tim and Julie Harris. Ready to become an EXP Realty Agent and join Tim and Julie Harris?  Visit: https://whylibertas.com/harris or text Tim directly at 512-758-0206. ******************* 2025's Real Estate Rollercoaster: Dodge the Career-Killers with THIS Mastermind!

In this episode, Chalene Johnson gets real about how AI (especially ChatGPT!) can seriously upgrade your life—think second brain status. Whether you're skeptical or low-key scared of tech, Chalene's here to walk you through how AI can help you make smarter decisions, save time, boost productivity, and honestly, just feel way less overwhelmed. She shares personal stories (mold drama, anyone?) and real-world prompts that show you exactly how to use ChatGPT for everything from communication to business to fitness and even healing your body. If you've ever thought, “I wish I had an expert for this,” spoiler alert: you kind of do now.