Podcasts about Nuno

It`s been a busy week for the Hammers with a win against Southampton and a draw against Watford. It`s about to get even busier as it`s also transfer deadline day! Who's going to come and who's going to go? What do we think of the business so far? With chants of your getting sacked in the morning at Vicarage road, is Nuno already on borrowed time? So much to talk about including surviving Reading festival before getting news from Ex and answering questions from Patrons of The West Ham Way…..To unlock the full show and a range of other benefits, you need to be a Patron of The West Ham Way. You can become one here: www.patreon.com/thewesthamwayThis Podcast was created and published by The West Ham Way. Views on this show are not necessarily shared by talkSPORT.@DaveWalkerWHU@ExWHUemployee Hosted on Acast. See acast.com/privacy for more information.

Producer Nuno thinks that he's a genius. Lane Kiffin & Ryan Day defended their pursuits of NFL players who are returning to college football. Should they be allowed to play? Also, Two-a-Days roll along with the Dallas Cowboys. Then, ESPN NFL Analyst Jason McCourty joins the show. Plus, I'm Over It! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Producer Nuno thinks that he's a genius. Lane Kiffin & Ryan Day defended their pursuits of NFL players who are returning to college football. Should they be allowed to play? Also, Two-a-Days roll along with the Dallas Cowboys. Then, ESPN NFL Analyst Jason McCourty joins the show. Plus, I'm Over It! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Support the show and get more from Analytics United: https://www.patreon.com/AnalyticsUnited Cal and Jack break down West Ham 1-2 Charlton in the Hammers' first home game of the Championship campaign. They discuss where exactly it went wrong for West Ham, Taty's controversial penalty miss, what Nuno need to change in order to beat counter-attacking sides and, ultimately, ask whether we should be concerned about the poor form we've seen so far. Timestamps: (00:00) West Ham 1-2 Charlton review(06:00) Taty's penalty miss: Should Castellanos have taken it? Nuno's comments after.(07:58) What went wrong?(11:47) The Biggest Takeaway: First phase attacking has to be better(15:20) Final Third Problems: How should West Ham be creating chances?(24:31) The HOL HOG: Nicky Hayen & Nathan Jones(25:45) Arne Engels debut review(30:23) Joël Piroe debut review(36:37) How can West Ham get the best out of Piroe & Engels?(40:57) Style mismatch: How West Ham can solve the issues we've seen against counter-attacking sides(45:27) Lewis Orford has to play(48:55) Getting better outcomes: Circulate faster, rotate more(51:18) Are we worried? Please do leave us a review and subscribe to the podcast to catch every episode. You can follow the pod (and our other work) on Twitter: Main: @AnalyticsUtd_ Jack: @jackelderton Cal: @WHU_Analytic Darcy: @futpysche Charlie: @ATopLad Theme music: "Emotional Chill Electronic Vlog Music | Sunset" by Alex-Productions (https://onsound.eu/) Promoted by: https://www.free-stock-music.com Creative Commons / Attribution 3.0 Unported License (CC BY 3.0) https://creativecommons.org/licenses/by/3.0/deed.en_US Learn more about your ad choices. Visit podcastchoices.com/adchoices

Our first home league game of the season ends in defeat to London rivals Charlton Athletic. How? Why? Despite dominating a large part of the game and creating chances, we come away with nothing. Can that still be classed as a decent performance? Why did Taty take the penalty? Is Piroe the Striker we`ve been craving? What did we think of the other debutants? And just how much pressure should Nuno be under at this early stage? All that and more before getting news from Ex and answering questions from Patrons of The West Ham Way….To unlock the full show and a range of other benefits, you need to be a Patron of The West Ham Way. You can become one here: www.patreon.com/thewesthamwayThis Podcast was created and published by The West Ham Way. Views on this show are not necessarily shared by talkSPORT.@DaveWalkerWHU@ExWHUemployee Hosted on Acast. See acast.com/privacy for more information.

Hugh Woozencroft is joined by the former Cardiff City Captain Sean Morrison to reflect on all of the big stories from the weekend's EFL action! West Ham were beaten by Charlton at the London Stadium, is Nuno already feeling the pressure after just two games? Two sides who are in fine form are Millwall and West Brom, what's been the secret to their early success? We discuss whether Wolves' Fer Lopez can be a standout player in the Championship this season and get Sean's thoughts on his former side Cardiff. We also dive into League One and look back on a bad weekend for Russell Martin as his Leicester side were booed off and we're joined by Bradford City boss Graham Alexander for an exclusive chat as the Bantams are the only side remaining in the division with a perfect record. Twitter: @talkSPORT2Host: Hugh Woozencroft @HughWoozencroftPundit: Sean MorrisonExec Producer: Will Varney Hosted on Acast. See acast.com/privacy for more information.

Tom Rennie looks back at the Community Shield, where Arsenal thrashed new look Manchester City. And a short rant about Nuno, because nobody was there to stop him. Learn more about your ad choices. Visit podcastchoices.com/adchoices

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Nuno Pico, de Grande Amore

Pour écouter 5000 ans d'Histoire en entier, sans pub et avec les bonus, pour 2€ par mois :https://m.audiomeans.fr/s/S-tavkjvmo Aujourd'hui, retour sur le 14 août 1385, jour où le Portugal sauve son indépendance. En ce dimanche 14 août, de l'an de grâce 1385, près du village d'Aljubarrota, au centre du Portugal, l'air est lourd, la tension maximale. Deux armées font face, d'un côté les troupes portugaises, mal équipées, peu nombreuses mais déterminées, de l'autre la puissante armée castillane, soutenue par des chevaliers français, sûres de sa victoire. À leur tête, deux prétendants à la couronne du Portugal et un enjeu bien plus grand, l'indépendance du royaume. Parce que depuis la mort du roi Ferdinand Ier, sans héritier mâle, le trône est disputé, le roi de Castille, Jean Ier, revendique la couronne par mariage. Mais le peuple portugais soutient un autre Jean, Jean de Portugal, fils illégitime du roi précédent, maître d'Aviz. Ce jour-là, les dés sont jetés. Les Portugais, bien conseillés par le génial stratège Nuno Álvarez Pereira, choisissent le terrain, creusent des pièges, attendent, et, déjouant tous les pronostics, ils anéantissent l'armée castillane. C'est une victoire nette, éclatante, fondatrice. Le roi Jean d'Aviz est reconnu comme souverain légitime sous le nom de Jean Ier du Portugal, et la dynastie d'Aviz commence. Grâce à cette bataille, le Portugal reste libre, et le restera. La bataille d'Aljubarrota, c'est l'acte de naissance d'un Portugal souverain et bientôt conquérant. Un royaume petit, mais tenace, qui refusera toujours de plier devant ses grands voisins. Le 14 août 1385, dans la poussière et le sang, une nation s'est affirmée, elle s'en souvient encore. A demain dans TIME SHOT pour une nouvelle Minute Histoire. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

PHP Podcast – August 13, 2026 Hosts: Eric Van Johnson & John Congdon Eric and John reunite after weeks apart to talk Laracon in Boston, more diverse voices coming to this time slot, CPX finally giving PHP an npx, a stripped-down PHPStorm Light, and PHP Tek’s extended CFP. Stepping Back to Make Room for More Voices Eric and John open by explaining a shift in the show: they’re not disappearing, but they’re stepping back a little so more people from the PHP Architect team can take the mic. As John put it, the goal is “more diverse voices of the community,” and folks like Joe, Sarah, and Holly have been stepping into this time slot. Eric and John have committed to appearing at least once a month, since they have the most holistic view of what’s happening across the company. When they’re on, expect the “inside baseball” episodes — the behind-the-scenes look at what PHP Architect is up to. The rest of the time, this slot will keep going with other hosts, so the show never goes dark. They also reminded listeners there’s both a live stream and an audio RSS feed. Some folks apparently only recently discovered the audio version, while longtime audio listeners never realize the show streams live. Either way, head to phparch.com, click on podcasts, and you’ll find every way to subscribe. Eric’s Laracon Boston Recap Eric attended Laracon in Boston and, as always, has a love/hate relationship with it. On the plus side, it’s where he catches up with a lot of friends, and the talks were solid — Pauline Voss gave a great presentation on JJ (Jujutsu) and atomic commits, and Nuno showed off Pest 5. Eric noted the framework itself is moving much slower now, which is actually a good thing for anyone running a business on it, even if it makes the conference less essential-viewing than it once was. The venue was industrial and good-looking with a fantastic stage setup, but seating was a genuine problem this year. Eric arrived late to Nuno’s talk and there was nowhere to sit; the team scrambled to bring in more chairs. When it rained on day two, they ran out again. Despite that, staying in the same hotel as folks like Eric Barnes, TJ, Jake Bennett, and Michael Dorinda made for the kind of hallway-and-breakfast camaraderie he values most. Eric also hit the social events he usually skips — he sat out dodgeball (bad knees, slip-on shoes, and being a big target), but went to the Laracon Prom, which required an RSVP and an approved request. It turned out to be way cooler than expected, with people fully decked out, DJs, and an after-party plus a VIP dinner where Laravel’s marketing team worked the room. He also caught up with folks like Matthew Weier O’Phinney of Zend/Perforce and had a chat with Taylor. Running the Laravel Magazine Site and Taylor’s Blessing Eric shared that PHP Architect is now running the Laravel Magazine website, which previously belonged to Marijn (Marion) Pop. He’s been publishing tutorials, keeping things current, and making changes to the site he’s proud of. The articles are short, quick reads — and one of the Laravel wrap-up pieces mirrors the same article on the PHP Architect site. At the after-party dinner, Eric took the opportunity to run the name past Taylor directly, since he wasn’t sure the original owner had ever gotten official approval to use the Laravel name for a magazine. Taylor’s response was essentially “that’s fine, don’t worry about it” — so Laravel Magazine lives on. Eric even set up a newsletter signup, though he admits he’s not sure yet whether he’ll actually send a newsletter. CPX — A PHP-World npx One of Eric’s favorite discoveries from Laracon was CPX, essentially the PHP equivalent of npx. Just as npx lets you run JavaScript packages without installing them into a specific project, CPX lets you run tools without a global composer install or a per-project dependency. Eric already swapped his global PHP CS Fixer and Laravel Pint setup over to CPX aliases, so he now always runs the latest version without dependency headaches. John pushed back a bit, pointing out that tools like PHP unit and Rector usually live in your vendor directory anyway because your CI pipeline depends on them. Eric agreed that’s a valid workflow, but framed CPX as ideal for the occasional-use tools and for lowering the barrier for people outside the PHP world who want to dip in without fully committing. Chat chimed in with Rector as a great CPX use case, and they walked through examples like spinning up a fresh Laravel app. Laravel LSP and PHP Storm Light Eric was genuinely excited that Laravel now has its own Language Server Protocol. Most IDEs had already built their own Laravel-aware workarounds, but for Eim’s Neovim setup, the LSP finally makes things like jumping from a route to the view it points to work correctly — something PHP Storm had solved long ago but Vim hadn’t. He also spotted something called PHP Storm Light at the JetBrains booth: a trimmed-down, experimental build with faster startup, lower memory, and fewer features. It’s available through the Toolbox app as an EAP, so it’s free and explicitly experimental. John, who’d been hitting memory limits in regular PHP Storm, decided to install it on the spot, and Joe mentioned using it for one-off file edits — sparking a conversation about whether it fills the gap left by JetBrains’ old standalone editor. PHP Tek CFP Extended + Ticket Options John announced that the PHP Tek call for speakers has been extended through October 31st. The team experimented with opening the CFP very early this year to help attendees whose fiscal-year approvals depend on a locked schedule, but the community felt it was too early to know what would be relevant next April. So they extended the window and made cfp.phptek.io point straight to the call for presenters (thanks to a suggestion from A. Woods). On tickets, they’ve broken out a bundle that includes hotel nights so attendees can hand their boss a single lump-sum figure (airfare not included). There are also food-and-beverage-only tickets for partners and kids, single-day track options, and dedicated days for Laravel, JavaScript, and DevOps — one track each, with the other two tracks running the usual PHP Tek content. John flagged a possible issue with DevOps being the default CFP track, since it’s pulling in a flood of generic, seemingly AI-submitted talks he’ll need to sort through. Links from the show: PHP Tek — CFP extended through October 31, conference + hotel bundle available PHP Tek Call for Presenters OurCVEs — watch your repos and servers for CVEs Host: Eric Van Johnson X: @shocm Mastodon: @eric@phparch.social Bluesky: @ericvanjohnson.bsky.social PHPArch.me: @eric John Congdon X: @johncongdon Mastodon: @john@phparch.social Bluesky: @johncongdon.bsky.social PHPArch.me: @john Streams: Youtube Channel Twitch Connect & Hire PHP Architect Website Twitter/X Mastodon Hire PHP Developers Looking to hire PHP developers? Email support@phparch.com – Eric, John, and the team are available for consulting, team augmentation, direction, code review, and even mobile development work. Partner This podcast is made a little better thanks to our partners Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ OurCVEs Your security posture, on autopilot with OurCVEs CodeRabbit Cut code review time & bugs in half instantly with CodeRabbit. PHP Architect Consulting Your PHP codebase deserves a partner, not a contractor PHP Architect provides long-term technical partnerships for organizations that need senior-level PHP expertise that you can depend on. https://www.phparch.com/consulting/ Music Provided by Epidemic Sound https://www.epidemicsound.com/ Join Us Live Next Week Youtube Channel Got feedback? Join us on Discord at discord.phparch.com The post The PHP Podcast 2026.08.13 appeared first on PHP Architect.

Balanço eclético Benfiquista , com a participação de Álvaro Ferreira, João Nuno e Sérgio Engrácia.

This week on the Goodyears, Oliver, Rich and Luke discuss Nuno's title winning team from the 2017/18 season and best memories from that season. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Hairy Potter and the Cloak of Inbicilibility - Bax, Spaniard, and Nuno talk about the weekend, movies, as Nuno tries his hand at sound proofing his room....it's a whole thing!  RIP to Glen Hansard, we lost a good one. Check out his indie film "Once".  www.TheLifePodcast.net TheHooliganCorp@gmail.com  

Competing in a Future World of Infinite Intelligence Navigation: Intro From Knowledge Workers to Judgment Workers The AI-Native Company: Org, Hiring, Culture The Human Element: Are We Underestimating It? Scenarios Our Take 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 Nuno Gonçalves Pedro Introduction Welcome to episode 79 of Tech DECIPHERED. Today, we take a leap into the big unknown. This is a thesis episode, not your classic analysis, in-depth sharing episode. The big idea for this episode is that we may be approaching the cognitive age, and how would one, or how would a company compete in a world of infinite intelligence? The big idea, again, is that intelligence, which has been mostly scarce and expensive for all of human history, might become abundant and cheap. If that happens, what happens to work, what happens to companies, what happens to society? This episode will be really framing a lot of these discussions. From knowledge workers to judgment workers, addressing the AI native company and how does that change, going into the human element and whether or not we’re underestimating it, and finally, ending up going into scenarios, feasible scenarios of a future where, well, intelligence is abundant. Intelligence is quasi-infinite or infinite itself.Bertrand Schmitt Yes. Big questions for this episode 79. From Knowledge Workers to Judgment Workers We can start with from knowledge workers to judgment workers. Let’s go back first to how came the knowledge worker. It’s a 20th-century invention from Peter Drucker in 1959. The idea here is that that category might be splitting. The production of knowledge itself is on its way to being commoditized by AI. However, our perspective is that judgment around production of knowledge is not disappearing and is staying for a bit control managed by humans. What’s your take on this, Nuno? Do you agree with this split?Nuno Gonçalves Pedro I think it’s a little bit more profound than that. It’s not just judgment. Definitely, human judgment will be needed. We’ve seen agents perform all sorts of funny things in the wrong way when left alone to their own devices. Even some very well-known AI researchers coming forward and saying, “Hey, I tried to use this myself, and actually I messed up some of my systems,” or “I messed some of my code. I messed up some of my flows for a period of time.” I think just having human-in-the-loop from a judgment standpoint will be needed for a significant amount of time. That is something you can’t just delegate into machines, into algorithms, et cetera. The second part is, ultimately, there needs to be contextualization, and that contextualization, I think, comes from two forms. One from actual data, where the machine, I think, at some point will catch up, or the machines will catch up. The algorithms, at some point, on the data analysis will get better and better and have probably the closest to the truth that you can get, minus all the biases that are in the data, just to be clear, because data has a ton of biases. We’ve looked at this in the past and discussed it at prior episodes. But maybe on that, I think the machine has a chance to catch up, or the machines have a chance to catch up, so there’s less of distinctiveness from the human standpoint. But then, on just the attributes, the ability when you’re judging some situation, you’re in the middle of the situation. You’re judging the person and how it’s acting, in some ways, a lot of the things that end up happening, end up happening because there’s human interaction. There’s someone on the other side. I see how they’re delivering the message, how they’re implicating. We’ll talk about it later in the context of the organization and what changes in companies. I don’t think it’s just judgment. I think there’s a little bit more than that. One of the reasons I went to the dark side of management early on in my career from being an engineer was Peter Drucker and this notion of the knowledge worker, which he later on reemphasized with the publishing of his book, which for me was seminal and defined a lot of my career in life, the post-capitalist society, which is this notion that information rich and information poor is going to be the key distinctiveness that will happen in the world. The two big camps, information rich, information poor, which links back to this invention of the term knowledge worker, that knowledge is going to be key in some ways. I think that’s what we’ve seen for the last decades. Again, I think judgment is not going anywhere, but I think it’s beyond judgment. There’s elements of humanity and involvement that won’t go away anytime soon, where human-in-the-loop are particularly critical. We’ll discuss later some scenarios, but for me, that’s my stick in the ground. I think human-in-the-loop is going to be critical for many decades to come.Bertrand Schmitt While we are talking about all of this, and we share some possible scenarios, there is always that question. This is moving so fast right now. If you think about AI 10 years ago, AI 5 years ago, AI with the launch of ChatGPT 3, and then AI the past 2 years, now we have agents that are running at scale. Things are moving very fast. I can tell you, me in 6 months, the change has been pretty dramatic in terms of what I can use AI for. There is always that question that whatever we are thinking about cannot just be connected to what we were able to do 6 months ago or even today, we have to think and project ourselves at least in the next 6–12 months. Of course, we can go beyond that, and we will do that with some future scenarios, but it’s a very fast-moving, and it’s not clear yet where are the limits.Nuno Gonçalves Pedro I think that’s a very fair point. Let me try to analyze things that I don’t think will change anytime soon for the next few years. Agreed with you that many things will change, and we’ll have a lot better tools, platforms out there. That will be difficult to predict what exactly won’t change. I think there’s elements of humanity, and some of them do relate to judgment, like having good or bad taste, having a view on it, on whether something looks good or bad. Obviously, all of this sometimes is subjective, but some of it may not be as subjective as people think it is. The elements of contextualization. I think a little bit going back to what we did at Chamaeleon ourselves, where we built this platform, Mantis, and the objective of building Mantis was not really to replace us, was that it was a core augmentation layer in some ways that we would use investment or investor judgment as humans in the loop to systematize pattern recognition and a variety of other things, but that Mantis would really elevate all that judgment, not just in terms of timing, us being more productive, but also in terms of the quality of the decisions we’re making. Think of it as a little bit like having our human judgment in the context of operating Chamaeleon at a higher altitude, where we are more aware of the things that are happening and how they actually happen. The ability to really get to the data pieces and then make decisions on top of that that generate the needed alpha in our case for investors. What I mean by this is I think there’s always going to be core elements of humanity that I do think are going to be difficult for the machines to replace. For example, the taste piece people are like, “I can figure out what’s the taste in the market.” Yeah, but that’s mainstream. That doesn’t identify what’s the next big thing, which normally doesn’t start from mainstream. It starts from something else. It could start from opinion leaders and influencers. It could start by someone having a different way of addressing a problem and having a solution that hasn’t been thought through. For example, elements of creativity, I think, in human judgment and in human operations is something that I feel the machine will still have difficulty to replace.Bertrand Schmitt Let’s not forget how today current algorithms are working by feeding them enormous quantity of data, actually as much data as we can find. Finding more data is becoming a limitation these days. What it means is that it’s very hard for AI to think beyond its training data. There is some level of logic that’s being added, but at the same time, take the launch of the iPhone. What was the opinion before launch? Is that no, it doesn’t make sense. Not enough battery life, no keyboard, no this, no that. If you just base your analysis on what’s written out there, what’s being sold out there, you would just say, “It’s going to fail.” AI might really follow that more generic advice and perspective because that’s what in the training data and that’s what they’re in volume. It’s, of course, raising a lot of questions of, how do you improve the quality of the training data? How do you separate the weed from the chaff? There are a lot of questions there, and obviously, it will get better over time. But it’s still a critical part of how it’s working today. It won’t be that easy to change. I really like your point regarding Mantis, and I will say in general, platforms that you build with AI or leveraging AI capacity. Because when we say knowledge production is going to disappear, but we’ll keep judgment, it will be a different type of judgment because the quantity and quality of knowledge we will have in front of us to build our judgment will be very different. If suddenly we have for free the work of 10 interns or 5 junior analysts or whatever, and you can run that on nearly anything you do in life or at work, it’s completely dramatic. Your judgment was not used to be exercised so often because often you were missing quality data to have a judgment. Before it was a lot of finger in the wind and trying to smell something, but you didn’t have enough to make a serious analysis. Except if you are working as a strategy consultant, as you used to do, Nuno. That part is actually quite interesting. That the judgment itself will be exercised much more often and hopefully on the base of much more in-depth analysis for a lot of things. We will work very differently.Nuno Gonçalves Pedro We will go in-depth, faster and more fact-based, more data-based along the way. The question some of you might have right now is, is there some judgment that’s going to go away? Is there some judgment? We seem to be defining that there’s this organization, we’ll talk about it later, that goes from doers more into deciders. I think there’s some nuances to that, so I’ll just hit pause on that. In terms of judgment, obviously, there’s judgment that has been hidden over the years under the pretense of being wisdom, but it’s actually not wisdom. It’s just repetitive tasking, and it’s rules-based for the most. There’s a lot of judgment done, in particular in the white-collar space, that you could say it’s just reps. People have been doing it all along like that, and so therefore to say, “I’ve done it before like this, so I’ll do it the same way.” There’s actually no best in class, no analysis, no nothing. It’s just, “I’ve done it like that before.” I think that type of judgment will disappear because, again, algorithms will be as good, if not much better at that. They’ll be better at figuring out, actually, this would be the better way to do this. That’s how you play it forward. Then the question is, if there are fundamental, wise people in the organization, people that can really take that more complex elements of judgment, how do you go from the world we have today, which is a world of apprenticeship, where people come out of college, they go and work, and they learn their way, and therefore, hopefully over time, some of them, not all of them, we know that, but some of them will develop that wisdom to be great decision makers 15, 20 years down the road? How do we do that in a world that now is saying, “I don’t need people out of college because I can do it myself, and I can do individual contributor, and I can have agents doing the work that would require some manifestation of management in the middle.” Basically, “I don’t need this stuff. I don’t need you.” It’s a little bit the story we’re in. How do you create then this apprenticeship? How do we create then wisdom? My two cents on that is that wisdom, because of what we were just discussing and what, for example, myself and Bertrand was just saying, because of more often interactions with more data-stressed information and insights, what will happen is people will get better through their own reps in whatever form they’re doing, in day-to-day life, in internships, et cetera. In some ways, that will create the accelerated growth. It’s a little bit the interactions with agents and the interactions with our beloved AI algorithms that will create that growth over time and maybe not as much with other people. That still leaves the question around social interactions, but that’s probably the way this gets sorted. Apprenticeship gets sorted through the machine and the human having more interactions in effect.Bertrand Schmitt I agree with you because when we talk about apprenticeship, in some ways a lot of time was wasted on stuff that were not that important. But in a way, that was the price you had to pay in order to be there when people make the big decision to try to get some wisdom from that one hour of interactions that’s really useful and make a difference out of your full week. But the rest of your full week was just basic stuff that you had to do like a machine in a way. Why not let a machine do that? That, for me, is a big question. You could argue there is a transition period where it could be hard. For instance, if you can work hand in hand with AI smartly while you are doing your 4, 5 years of universities, you could graduate with a very different knowledge, perspective, judgment, skill set than anyone who graduated 5 years ago. I think that part will require a question around, “How do you change education?” You see what I mean? If you keep education the same way, expecting that the output is someone that should go now into 5 years of apprenticeship, that’s not going to work because companies will be, “No apprenticeship anymore.” On the contrary, you have to come much more knowledgeable and ready to use the tools. The tools are so efficient that the bar pretty high. You need to come already very well-grounded. If the education is not doing their job, that will be trouble. That part for me, I think is often forgotten. In some ways, the new-found importance of universities as a place to, and not just universities, the trade to really deliver people who are ready for the workforce. If on the business side, the expectation can change, of course, you have to change the education on the other side. My worry probably right now is that it doesn’t look like universities are in touch with what businesses are looking for, businesses are working on. Of course, that’s very worrisome because the cost of university has increased very significantly. It’s not clear quality of education has improved at all. If anything, it could be the opposite. It’s pretty scary. Of course, it’s going to raise a lot of questions. How much is education worth in that type of situation? Maybe another point because we talk a lot about apprenticeship, how this stuff was useful, but at the same time, if we go back in time, not long ago in the ’50s, if you wanted to be a developer, for instance, ’50s, ’60s, the job was very different. There was barely any programmation language out there. You had to use punch cards. Your time truly spent doing the coding was very limited. Once you had your stuff working, then, the debugging was a total nightmare. My point is that no one is looking back to that time saying, “You know what? It was great. It was a great way to learn and to do an apprenticeship for 5 years. To do that crappy job of punching cards for the boss.” There was little value in this. Guess what? Everyone is happy it’s not being done anymore by anyone. I think we also have to see what AI is bringing in a similar way is that everyone’s job is going to become quite different. There are a lot of big parts of the job who are not going to look back with fondness. Just looking back as, “Wow, that was very machine-like type of job. I’m glad I’m done with it.” People will want to jump directly to the next step. You don’t need to go to the punch card phase to be able to be a good developer for the past 40 years. I guess it will be the same with AI.Nuno Gonçalves Pedro I think so. The difficulty we have as humans is to also visualize dramatically different scenarios and landscapes, professionally. It’s difficult for us to anticipate what are the jobs of the future. Jobs have changed a lot in the last few decades, not even the last century. What people do, the migration initially from the agricultural society to then the industrial society to then the services society, and in some ways, the shift within the services industry, and now we’re seeing another shift, so we can’t really anticipate what those jobs look like. Back to your point on education, because I think that’s a very important point. If you’re right now an undergraduate student or a postgraduate student, for that matter, and you’re not figuring out your own mechanisms of learning outside of your syllabus, outside of what your professors are telling you, et cetera, you’re going to face very difficult times. If you’re not right now using all these AI tools proficiently, all these cycles of vibe coding, co-working, et cetera, with agents in the mix, you’re going to have a really tough time. If you’re not at this point in time as proficient as someone like myself or Bertrand, and given that we’re nerds, we’re relatively proficient with a lot of these tools that are out there. On top of it, some of us have our own platforms in-house. If you’re not as proficient as we are with those tools, you’re going to have a very difficult time because then people like us won’t need you. I think that’s the sad truth. It’s like at some point, if you’re not needed, you’re not needed. Then again, you may find something else that’s more interesting for you to do. Start your own company, go join a new exciting job doing whatever it is that you need to do next, et cetera. But again, I think the bar is very high. If you’re in college right now, again, undergrad, postgraduate, this is the time of transition. This is the worst time. It’s not the best time, it’s the worst time. Because education and all these institutions haven’t adapted to it yet. You need to adapt. You need to adapt. You need to adapt. If you don’t, you’re going to pay for it, not just in the loans you need to repay, but also in terms of actually having difficulty finding your career path in those first few critical years.Bertrand Schmitt You need to be especially proactive when you’re facing this type of period where businesses are adapting as fast as they can because they all know it’s going to be survival of the fittest very quickly. Universities typically are working on a very different pace, and it’s pretty guaranteed they are not going to have adapted as fast as businesses. In time of big dramatic change, it will be trouble. It will be trouble. Yes, you will have not fun. Not saying it was part of the deal when you sign up for that loan and decided to go for university. But that’s life. There has been issues before. It’s not the first time. You have to do something about it. You talk about your perspective about, “Hey, why do we need you if you are not already fluent and very efficient with these tools and stuff?” The truth, in some ways, it’s even worse than that. Each time we spend with someone who is not efficient with all of this is less time we spend with the tools that are already providing magic for us.Nuno Gonçalves Pedro Exactly.Bertrand Schmitt It’s a very big choice of, “Hey, do I spend more time training this person?” Do I just… there is an opportunity cost. Or, do I spend more time staying at light speed? Why do I slow down to do something else in the hope that maybe I will get to return versus the light speed I’m already on? It’s a lot of tension. Again, it’s certainly new. But if we want to look back, I think you talk about the switch from agriculture and society, industrial society, and now the service industry. The reality is that, yes, we have made dramatic changes in the past before. 140 years ago, we were 90% agricultural society in Europe, in the US, 90% of us. Today, it’s what? 2%. So my point is that that’s a normal evolution. There is no progress without change. Sometimes the rate of change is soft, and sometimes you have a step function. Now it’s a step function, and it’s also a pretty fast step function. Before, it could take decades to get new stuff being put in place, to have electricity come up, this or that. Now we see that the rate of investment in AI is insane, way beyond anything we have seen before. Two, in a way, a lot of the architecture behind the scene was already there to support an even faster transition. What’s new might be the pace of the transition, how unnatural it might look. But at the same time, if you put yourself in the shoes of someone who lived 150 years ago, I mean, this was also a dramatic change for them. From horses to cars to planes to rockets, pretty big change, maybe even bigger change.Nuno Gonçalves Pedro Maybe the silver lining, just to bookend this section, is one, there will be new roles. There are a lot of things we can’t anticipate. There will be new roles, there will be new jobs being created, and new things that we can’t really quite grasp yet. The second part is that the rules are changing, and they’re changing, I would say, in general, for the better. If you are a decision-maker or an organization, and you still have your job, you’re probably making more important decisions with more data, with more tooling around you, with less red tape, hopefully over time. I know that will not hold true for all the big corporations out there that are listening to us, but it is starting to happen. Things are making an impact on how decision-making is made. There’s less and less red tape along the way in certain organizations. There are more and more fact-based discussions happening as we move along. The silver lining is better jobs, more jobs, different jobs in the future, hopefully as well. Secondly, the second part of the silver line is that the jobs that exist today, hopefully, will be more interesting, certainly on the knowledge space and on this judgment space that we’re now introducing as part of this episode. The AI-Native Company: Org, Hiring, Culture Switching gears, maybe to how does that shift? How does the company of the future look like? How does an AI native company look like? I feel there are a lot of discussions on, “Oh, you only need one person to run everything.” Let’s not go to that level. We’ve had a couple of episodes where we focused on AI as your co-founder and a couple of other elements that you guys can go back to. Let’s focus on a more evolutionary view of what’s happening to organizations, and maybe start with the org structure. In general, we should see more flat organizations where mid-level managers have to justify their pay in some ways because middle management are routers. They are normally routing tasks. It’s sometimes aggregating it, synthesizing it, and pulling it back up. Guess what? AI and agents in general are very good at that. The synthesis piece, et cetera, is not as well needed. One could say there are several elements of middle management that are valuable, like the coaching of people, the creation of apprentices, and the accountability that comes with some of middle management. But lo and behold, most of middle management is seen as a little bit of a thin line that doesn’t need to necessarily exist. I feel we’re moving into a world of smaller teams, more senior teams, where there’s more judgment at the top, where you’ll have people that both do a mix of what we used to call management in its new form, but also a lot of individual contribution. If you’re not used to that, if you’re not used anymore to be an individual in the future, again, and if you’re a very senior in an organization, maybe this is the right time to either reinvent yourself, find some other job that doesn’t require as much of that, which we’ll have plenty of those jobs for the next few decades, or maybe retire. I’ve actually, shockingly enough, seen people who have said, “You know what? This thing is changing too fast, too dramatically. My industry is changing quite aggressively right now. I’m about to retire in a couple of years. I’m just going to retire now.” I’ve literally met two people who have done that. Again, there’s nothing wrong about it. I think we’re, again, going through a step function and a huge shift, but figuring out where you fit in this new model of organizations, more senior at the top, smaller teams, more of a mix of individual contribution with management than ever was done before.Bertrand Schmitt I agree with you. In some ways, I’m not surprised that some people might say, “You know what? It’s now time to retire.” I feel a bit sad, maybe because it means you don’t like to keep reinventing yourself and changing your habits and thinking about new stuff. You were a creature of habits, I would say, if that’s your conclusion. But everyone is entitled to their own opinion, obviously, and a way of life. I guess that’s what happened, again, at regular times in the past in terms of big change. What I can see is that the rise of, you can call it the full-stack individual, someone who will have multiple roles inside the team. Before, you had to really separate the role. Especially in the US, there is such a clear separation between every role you can have in a company. Let’s take a tech company. You will have people doing design, people doing different types of designs, people doing front-end development, back-end development, and operations. You see step-by-step hyper-specialization. I have seen that, and it’s true that the level of complexity you had to deal with at some point requires some level of hyper-specialization because it will take you 6, 12 months in order to be really, really strong on a specific topic, a specific language. God forbid, trying to go deep into something that you had no real experience into. But I feel with AI, it’s a big change, actually. It’s the opportunity to go beyond that. It’s the opportunity to do more, to touch more. You can combine designing and shipping code, product managing and shipping code, being an analyst and deploying. Of course, we have to think how it works because putting a marketer shipping code to production, maybe that will get you into trouble. But I think that there must be some change. We see it changing dramatically, how fast we can get into something, something different from what we are used to. I think it would be crazy not to take that opportunity to dramatically change the scope of many positions and put an end to that hyper-specialization. I think for me, in some ways, hyper-specialization was bad. There is only so much you want to be a specialist in because a lot of things, a lot of opportunities are actually coming from the mixing of many different ideas, many different perspectives, and you lose if you go to hyper-specialization.Nuno Gonçalves Pedro I don’t think the age that is coming is the age of the generalist. I think it’s going to be the age of the multispecialist. We’re going to go into an age of multispecialization, which is a little bit, we’ve mentioned it as well in the past, what Amazon defines as an athlete or T-shaped or pie-shaped people, people that have on top an amazing ability to do general management, strategy, managing teams, et cetera, then have spikes. Spikes into business development, corporate development, product management, whatever it is. With AI and with agents, the development of those spikes, as we’ve been discussing in this episode, will actually be easier. It’s almost like a given. If you want to go deeper and deeper into a certain area, you can go much faster. I think that level of multispecialization is going to be really cool to observe. I’m not sure we’ve had an age of multispecialization over the years. Maybe people would point out, well, the Da Vinci example, people that are great across very different areas. Maybe that’s an example of multispecialization. But honestly, from my perspective, this is going to be an exciting time because of that, because you’ll have people who, instead of being just focused on this area of sales, and I only do that, they can actually and should actually do a lot of other things. So the work, as we were talking before, can be more interesting. More demanding as well, because the judgments you need to make are more complex. The context you need to actually gain needs to be gained much faster. At a level of magnitude, you haven’t been able to do it before. Talk about information overload. But actually, ultimately, the roles can be a lot more interesting, a lot more exciting, because I can jump around. If I’m an investor, in this case, we have two investors on this conversation. But if I’m an investor, one of the things that we start looking at is actually not just looking at a startup as, is this startup doing something in AI or not? Is it AI-enabled or not? Is it an AI platform or not? But actually, more fundamentally, is this an AI native startup? Meaning, organizationally, culturally, is this the company that’s already in the AI age? How is the team working? How are they defining things? It’s not just that they only have two or three people. It’s like, what are those two or three people doing? How are they doing it? What cadence are they doing it on? What tools are they using? How are they making decisions? I feel we’re still actually relatively early on that track. It’s very interesting because we’ve had all these companies raising mega rounds. First round out, we invested in one of them, but there have been many frontier labs out there raising a ton of money. But a lot of them don’t have a fundamentally different way of doing business. Of organizing themselves, of how they do the day-to-day. Although they’re working on cutting-edge stuff, with very notable exceptions, they’re actually not using it themselves. They’re not actually shifting how they do stuff themselves.Bertrand Schmitt For me, that’s very interesting because in the past, I used to be quite conservative on how you manage and run a company in the sense that if you’re already in tech, if you are already on the cutting edge of what technology can deliver, and this and that, don’t waste time trying to invent a new org structure. Just focus on delivering something great, amazing, and be great at technologies. That’s already your huge differentiator. At the time, there was no real reason to innovate on the team organization. I have seen so many teams that tried to innovate, and it was just catastrophic because there was not much to innovate on, because we had decades of optimization that we could leverage. There was no reason to invent. But here it’s very different. There is a dramatic shift in how you can organize differently a company. I don’t think there are any blueprints yet on what’s the best way to do it because it’s too new. But at the same time, I would feel very bad to invest or support a company that first is not focused on AI or AI-enabled, but at the same time is not trying to innovate on the team itself. Because if you don’t do that, you’re going to get killed by someone who is going to innovate better than you on not just the product, but on the org as well.Nuno Gonçalves Pedro Indeed. The shifts are pretty substantial. If you look, for example, just at hiring, what do you hire for? Certainly, there’s this element of the multispecialized orchestrator, which normally will be someone with quite a lot of wisdom and expertise. It doesn’t necessarily mean someone who’s old, but someone who has the ability to work with all the AI tooling and platforms out there and be an orchestrator of agents. Why do they make judgments, make decisions, move stuff forward really, really, really quickly? Again, those jobs are going to be the best jobs. The second part, I think that is very interesting, around hiring, is you’re going to skew towards the elements that are potentially either very aligned with the use of AI tooling and platform, AI expertise, or being AI native, or someone who’s used to using AI. That’s one side of the fence. On the other side, you’re going to actually be optimizing to hire people that have the characteristics that will be difficult for AI to replace immediately, like taste and the notion of fundamental accountability and notion of implications, the notion of how you affect change in organizations, how you affect change in individuals, the elements of coaching, and beyond coaching. You’ll be optimizing for those kinds of hires as well. Then, last but not least, for me, I feel that there is a momentum already happening. I think it will happen even more, which is the tendency to under-hire rather than over-hire. The moment of the good old days of blitz scaling, “Oh, let me go and hire 300 people to scale my go-to-market and just land grab market.” Now, that’s not how it’s going to work. People are going to try and first get the efficiencies in-house with top talent and see if there’s, at the end, the need to hire more people or not, rather than the other way around. I think the issue here is a little bit of what we alluded to before in this episode. There is a tax on individuals. If you hire more people, you’ll have to manage people, you’ll have to work with them, et cetera. If I don’t need to, I might as well work with the agents that the tools and platforms that I use give me access to. Because that’s a world that’s much more efficient, right?Bertrand Schmitt I’m in total agreement with you on this. It’s definitely raising way more questions than before because, again, on one side, you have the product, the technology used to build products that are completely different. At the same time, all of this is also enabling new ways to design organizations and to scale differently, especially in a world where, as we have seen in 3, 6, and 12 months, stuff that you thought were impossible are suddenly becoming possible. So you’re, “Hey, I’m going to scale and burn a shitload of money for 6 months before I know if there is any return.” Versus, “You know what? Maybe I just wait 6 months. The AI has improved enough so that we don’t need this new team. We don’t need these people to do stuff.” Because actually, if you just wait 6 months, we will have stuff coming for free from either new AI models or new AI tools or this or that. If you remember, we used to say that in mobile, things were going three times as fast as on the web in terms of pace of innovation and speed of development and stuff. I mean, with AI, it’s 5X mobile.Nuno Gonçalves Pedro Maybe even more. Yes, well.Bertrand Schmitt Maybe even more, maybe 10X. Every assumption around blitz scaling or scaling in general was based on past assumptions. It’s not based on how is the industry evolving today. Might make more sense for you to really grow your agents and spend more money on more tokens. I remember, of course, Jensen is selling his business interest, but he was saying, “Hey, for each one of my 450K engineers, he better spend 250K in tokens a year.” I’m not saying it’s the right way to say it, but I think there is some truth in it, and that would be something to think about. Have we maxed out the token usage per employee? I’m not talking in a stupid way because token maxing and wasting money has no value and is as stupid as it gets. But if you are truly getting a return on these tokens, can you use more? Can you generate more? Can you create more loops so that one engineer manages not just 10 agents, but 50 agents, but 200 agents? I think that’s the big question. We’re trying to add more people. More people means more management, more issues, more this, more that. That would be a fair question. Another piece of the puzzle is how do you build in a way your… I don’t know if it’s a digital twin, but more like the digital version of your companies represented by agents. How do you make sure that everything you do as a business is truly captured, is truly leveraged so that your agents are getting better and better? Not just because the model gets better, but because you are putting more data into it, because it has more opportunity to learn, and as a result, gets better at your specific business.Nuno Gonçalves Pedro The next big thing is culture. How does culture change? I think the biggest shift that I see is, why would you do meetings all the time?Bertrand Schmitt Yes.Nuno Gonçalves Pedro At least at Chamaeleon, we have a very small team, just by the way. We have a very small team at Chamaeleon. We’ve reduced by way more than 50% the time we spend on meetings between each other across the board, one-on-ones, partner meetings, et cetera. I think we’re really pushing to be more and more asynchronous. There’s stuff you can process via message. I was just asking one of my colleagues, “Can you just send me that prompt for that so I can just do that on CoWork?” Or “Can I just go on Mantis and do this? Can you tell me the cycle?” Or vice versa. Basically, it’s a little bit like you’re just going to do it. I don’t need to meet. I don’t need to meet all the time. There are some things where we still need to meet and interact, and we need to brainstorm at times, and we need to go to a different level of abstraction on the top end. Then on the lower end, there might be things that are a little bit more specific and governance-related and operational-related that we need to agree on that are more sticky. But otherwise, the culture is going to be biased towards build. “Go and do it,” rather than, “Let’s do a meeting.”Bertrand Schmitt Yes.Nuno Gonçalves Pedro Async is the thing. I’m more and more like we have a couple of interns this summer. “Can we async this?” They’re like, “What does that mean?” “Can we make this interaction asynchronous?” Because synchronous interactions for me are very expensive. Can you send me something that I can process, and then I can send it back to you? We don’t waste time on you giving me context and whatever. Then I’m not ready quite yet because I need to process it. Maybe I’m in between two meetings that I’m actually thinking about other things in my mind.” Again, I feel that shifts how stuff is done. One, build rather than meeting. Two, asynchronous versus synchronous. In some way, millennials had it right when they shifted a lot to messaging and stuff like that. Let’s do more asynchronous rather than synchronous, those two elements from just an operating model of the company are significant. Maybe this is a good time for me just to put one parenthesis because there’s this thing that’s bugging me as we’re talking here. Everyone who is listening to us at this point in time might be saying, “Cool, but I work for this large organization. We’re just now…” Everything we’re saying here is contextualized by time. We’re giving you extreme situations. We’re looking into the future. Some companies that we’re talking about might be doing this already as we speak. Some of them might be in the process of doing this and might in the next couple of months be doing it like we are describing it here. Some of them might take years to get there. Then again, some of the companies that might take years might actually be destroyed in between or meanwhile, and be disrupted. Some of them might not because they’re in very legacy businesses, and it’s fine, and it’s okay. Again, don’t take everything that Bertrand and I are saying today as this is gospel, and it’s going to happen tomorrow, and why the hell are we not doing it? We think that aspirationally, this is where you should be moving to as an organization, whatever size you’re at. Speed will matter, as we discussed before, but not everyone, obviously, is going to move as fast as we’re describing it here.Bertrand Schmitt Yes. Me, for instance, take inspiration often with what some of the AI labs, frontier AI labs, are doing, the way they are working, especially in OpenAI and Anthropic. They are clearly at the top of the spear in terms of what is it that you can do because they have access to models we don’t have access to, because they have unlimited tokens they can use for tasks. They hire people who are, of course, 100% on AI. They are the best example of what is achievable if you have the top minds, if you have the latest models, if you have unlimited tokens. From there, you can take that for our needs and for our situation, and others in industries that are not as advanced. Definitely, you have some time. But as you say, things are moving fast, things are changing. Wall Street is going to expect better returns because when we discuss all of this, the conclusion is that you should be able to do more with less. That’s as real as it gets at some point. By the way, that’s what you see. You see better performance, a better business performance right now. So even if you might not get disrupted, you’d better start there. For some, it might take more time, and they might still be fine.Nuno Gonçalves Pedro Maybe to bookend this section, clearly what we’re saying is organizations are going to change. Their MOs are going to change, the structures are going to change. There are elements of what we discussed before in terms of judgment that are fundamental to this. The ability that in some ways, one would say a lot of the technique of getting solutions out there, even in brainstorming or problem-solving, is going to get democratized. The algorithms are able to do that. On the other hand, having points of view and having wisdom is not necessarily democratized, necessarily by the machines. It can be facilitated, it can be more productive in achieving that level of wisdom, but wisdom still will matter at the end of the day. We’re not saying that’s out of the question. Actually, that’s going to be the asset. People who have fundamental wisdom that can come to the table and frame things. We see this even today in prompt engineering, on just creating prompts. The better your prompt is, the better the outcome is going to be, the result that you get from the algorithms. That’s not going to change, in my opinion, anytime soon. That UI interaction piece is not going to change anytime soon. Again, if you’re an organization thinking through organizational structure, culture, if you’re thinking through hiring, these are some of the elements that we think will give you an opportunity, but I would actually go one step further. On the positive side, I would say, they give you arbitrage. If you’re able to move faster than your competitors and really adapt your org faster, you’ll reap the benefits faster as well. That’s what many still say and relate to as the word innovation. That’s how innovation gets accelerated. I think there’s a huge opportunity right now for arbitrage. If you move fast, experiment, experiment on new org structures, experiment with talent, you’ll know that some of them will work well, some of them will fail miserably, so you can’t experiment on literally everything. On the other side, I think the doomsday scenario is if you don’t, if you’re on the other side and your competitor is outpacing you on trying these different organizational models, structure, hiring models, and operating models, they’ll potentially just disrupt you. They’ll do stuff that you thought you had the moat on, and lo and behold, you don’t anymore. Sometimes it comes just from org, just from injection of people with a different MRO, different operating model.Bertrand Schmitt The Human Element: Are We Underestimating It? Maybe we can move to our next section about the human elements. Are we underestimating it or are we overestimating it? The three things that are a big part of the human elements, emotion, creativity, and synthesis. Is it just soft skills, replaceable part? On the contrary, is it the durable part now that we have automated intelligence?Nuno Gonçalves Pedro I’ll start with emotion first because I think it’s probably the easiest of all the ones you’ve mentioned. Emotion is key. Many of you listening to us will know this. The way you deliver a certain message, the emotion that you have when you deliver it, just in and of itself, this could be a sentence, it’s something verbal, et cetera. Makes a difference between the person or the people on the other side actually adopting it or actually just resisting it. Emotion is critical. It’s what runs the world. Everyone talks about a bunch of things, but emotion is a currency that is still naturally human. It will be, I feel, difficult for these AI tools and platforms to recreate it fully until there’s some literally very high-definition manifestation of them as avatars or some physical manifestation of them as robots and all that stuff. It will take a while for that emotion to be manifested. Emotion, I think, is still something that we as humans have as a moat, and it’s critical. As you mentioned before, I was a strategy management consultant at McKinsey, and getting people to action is actually 80% about the delivery, communication, the emotion that you surround the project itself, more than sometimes the truth. It’s great to have the truth and to have something that is similar to the truth in terms of analysis, but in some ways, that’s not what really moves change. Change is moved by, I would argue, a significant amount of emotion and alignment on emotions.Bertrand Schmitt You could argue that’s something that most politicians have perfectly understood. If you look at most campaigns these days, everything on emotions, maybe the tagline might be one word. It’s interesting when you see from that perspective that actually it’s very little on facts, very little on all of this, but more about emotion. You could argue it’s the same for businesses in the future? That’s a fair question. I think creativity is another one that’s quite important. At the same time, it’s not so easy because I must say I’m quite amazed when I’m looking for creativity from AI, either to generate the image, to generate video, to generate audio, or to generate text. AI can be pretty creative. I still think you need to control its creativity; you need to understand what’s good, what’s bad, what’s quality, but at the same time, I can see even in creative tasks, AI can be a very strong partner. I’m talking about any creative task, like invent a name for a product, let’s brainstorm the mission for the company. AI can actually be doing a pretty impressive job. That’s the type of job where you will hire experts, where you will use some of the best people in your team to help you for days. We say, “You can do quite a lot.” It’s an interesting one because I think there is some unique human creativity, and at the same time, AI can be pretty strong at creative task as well.Nuno Gonçalves Pedro I agree. In particular, if it represents benchmarking, if it represents repetition, if it represents seeing the world and then coming up with something that presents itself as creative, to be honest, it can actually outpace humans. If it’s like genuine light bulb moments of creativity, angles that haven’t been tried before, certainly not in the same way, I think humans still have the advantage. To your point, I agree. This is not a humans-win situation. On the previous one, on emotion, still, part of it is because, also on emotion, there are exchanges. You and I might be looking at each other, and from the facial expressions and the reactions, where you judge that for AI to get there, it’s going to take a long time. There’s going to be a lot of very complex algorithmic stuff put into that for AI to be able to create synthetic emotional behaviors, but creativity, I agree with you. There are a lot more nuances to it today, where AI does have significant advantages at the end of the day. Synthesis depends. Synthesis, I feel, if we’re talking about holding a bunch of messy assumptions, contextualized inputs with different layers of data adjacent to them and then trying to create and form one coherent, fully accountable point of view that you stake something on, like a decision, a company, a business unit, whatever, I think humans have the advantage. Part of it is the complexity of what we have today with generative, pre-trained transformers, today with GPTs, where the hallucination comes through, where it’s really more statistical analysis. Over time, maybe synthesis will be a forte for AI. Right now, I think we still have that ability to really be the ultimate decision-makers and judge-makers and have that wisdom put at the table to make those decisions. Honestly, models are very good on balancing both sides, so ended up, as we say in Portuguese, neither fish nor meat. It’s to balance both sides’ answers. That’s not helpful in most cases. When you’re in a difficult position where, for example, the future of a company, company is almost dying, what do you do? I’m not sure your AI algorithms that are going to give you a great solution. Because it will give you a median or average solution, which likely will lead you to a median or average outcome, which in this case would be failure. Again, on synthesis, there are some areas of advantage for human beings. If you are looking for clearly synthesized perspectives on certain elements that are maybe less edge-focused, they’re more than the normal part of the normal distribution, then probably AI agents are brilliant at that. All the tools we have today are pretty good at that, and I think they’ll just get better over time. That’s how I see synthesis.Bertrand Schmitt I think a lot of improvements will come with a better fine-tuning of agents to what’s special about your company. Because if you just take a general agent, there is only so much. It can understand your industry, your company, and your way of working. I think that part of making sure your agents are finely trained, finely tuned on your own business, so that they can give you a really well-calibrated feedback, will have a lot of importance.Nuno Gonçalves Pedro I think that’s absolutely spot on. Maybe to end it, what is definitely different about humanity? Definitely, emotion, as we discussed, some pieces of synthesis. Creativity, maybe the light bulb creativity, not the more repeatable creativity, the one that you can put and encapsulate into processes in some ways. There are elements of us being physical, which robots can’t still recreate. That’s definitely an advantage. The embodied, we’re embodied. That’s obviously a huge advantage. With that also comes advantages because we have to interpret each other, and we have to see the complexities in physicality that land to it. Is human and the human element categorical difference? If we’re having a more philosophical discussion around this, I think it is. I think it will be for at least the foreseeable future and maybe decades to come, even in whatever scenarios we’ll discuss, which is our next section, scenarios.Bertrand Schmitt I would say projecting beyond 10 years is always pretty hard on this because, again, some of the improvements we are talking about we can imagine based on how it has evolved, but at the same time, there will be disruptions in AI. Stuff that we take for granted in terms of weakness, especially, might not be there in a few years from now. Either because it has been solved through brute force or because the field will have made significant change and improvements and discoveries, making some of our points moot. If we talk about embodiment, obviously, robots are coming. How fast, how cheap? That will be a big question. Right now, they’re not very smart. They’re usually very specialized. The more we move to a more general form factor, humanoid form factor, the more I think it will change. Also, another piece of the puzzle is that we have the assumption of agents having trouble to convince humans and stuff. At some point, we keep assuming that humans in the loop. If we’re talking about agents convincing another agent, not having embodiment might be even more efficient. That will be another perspective. Going forward, we will have not just agents we control who are doing a job and scanning the job, but agents truly interacting with other agents. You have agents controlled by one person, one team in your company, working either together or maybe not confrontationally, but trying to think and having different perspectives with another agent, controlled by other teams. I don’t think we have seen much of that now. We have seen mostly agents that are controlled by one team doing one job in one direction. Not multiple teams agents working together, or against or in parallel with another team agent. I think we will see some interesting things coming out of that.Nuno Gonçalves Pedro Scenarios Switching to scenarios, we love our two-by-twos. We haven’t done one in a while. This time it’s a two by two. We have four scenarios. I think on one axis, we would have potentially the capabilities of AI. One side would be more incremental. The other side would be the extreme full AGI. I’ll define it in a bit so that we can at least have a little bit of a definitional view on what the AGI is. Then the other axis would be how gains are distributed, concentrated versus broad. Obviously, if they’re very concentrated, it’s more unequal. It only goes to a few companies, a few people, a few individuals. If it’s broad, it’s much more dispersed through society, et cetera. AGI, just to try to define it, the formal definition of it is that it’s a hypothetical AI that matches or exceeds human capabilities across virtually all cognitive and practical tasks. In some ways, AGI can learn, reason, and adapt to novel situations across any domain. Then there are several mutations on this, but there’s one notion, or rather, there are three notions that normally are across a lot of these definitions. One is generalization, ability to seamlessly transfer knowledge from one domain to another without needing retraining, which is a very impressive skill that we humans still seemingly have. Autonomy in agency, the capacity to operate independently, set goals, plan and execute complex tasks. I think AI is their issue with agents to a lot of that extent. Then, last but not least, human parity, performing economically valuable work at or above the level of a typical human knowledge worker. If you listen to one of our last episodes, you’ll realize that Bertrand and I have slightly different views on AGI, and if it’s already here or not. I think, definitionally, maybe we have slightly different views on what the definition actually is. For me, maybe AGI is a little bit more what some would call superintelligence and generalized superintelligence. Strict to census, Bertrand is more connecting to AGI as in its prime definition. It behaves as well or better than a human thing. Maybe that’s what’s leading us to differences on whether AGI has arrived or not.Bertrand Schmitt Personally, I will have a different scale where I will put AGI, as you just said, in some ways, relatively similar in performance to your average human being. On top of it, it’s able to touch different domains that most humans are not able to do. Usually, there is some level of specializations where in AI, it can be more generic. I will put ASI, Artificial Superintelligence, as clearly the step beyond. Something that, on any dimension you pick, it’s able to beat a human expert. From my perspective, I think we already discussed that, but we are at AGI already. We have AI that can do way better, not just way better, but at least as well as humans on many topics, sometimes better. Yes, there are some topics that are not for AI yet. Embodiment, for instance, to flock with your humanoid robot in 2026. For me, we are partially there or fully there in AGI. If we take the stricter definition, ASI, we are definitely not there, but my guess is that it’s moving quite fast. We might be there in a few years from now. I don’t think we are talking about multi-decades. It’s 5 years, maybe 10. Of course, there are questions because people will say, for instance, “Hey, how do you become truly super-intelligent when all your training is based on human data?” That’s not an easy one because how do you train on that? To be way better, not just a bit better, but way better. Maybe I’m going on a tangent, but some are looking at AI learning from AI, AI being taught from AI, AI fighting with AI, AI challenging AI. The same way we saw this AlphaGo moment where AI was not trained anymore, like in chess with human moves, but has been trained to play against itself. That’s when it reached superintelligence in Go. It reached superintelligence by playing against itself and basically letting go of that human baggage, if you want, and going to the next level. What I found interesting in that, actually, first, that’s what happened, but two, there was some analysis that the average level of Go players and the top players went up after AlphaGo because AlphaGo, in a way, opened doors that humans didn’t believe were open in front of them, or they didn’t see them. They didn’t see these doors, so they didn’t bother to open them. AI opened new doors, but interestingly enough, humans improved after that, thanks to AI. You see what I mean? It was an interesting, okay, that self-learning from AI was the way to go beyond the current level of human knowledge and human expertise, but at the same time, humans were able to follow up. It was not like suddenly humans are totally useless crap. They improved. Did they still beat AI? Maybe not, but it was definitely also helpful.Nuno Gonçalves Pedro Back to our scenarios. We’re going to take the definitional extreme just for argument’s sake for scenarios. We’re going to talk about maybe what you were saying, ASI rather than full AGI, but like ASI. Again, artificial superintelligence as the extreme on the one hand. Let me talk about maybe the first scenario that would come to mind. Maybe we can call it the plateau scenario. All of this was great, but it was all smoke and mirrors. They were great at some cognition stuff. They’re a great tool. At some point, they’re going to hit a wall. Hallucinations are never going to be a thing of the past. We can’t fully trust them on really hardcore stuff. We’ll gain productivity enhancements. We’ll keep gaining those productivity enhancements, but at some point in time, we really won’t reach ASI. We really will be stuck with what we have. It’s a little bit like we get the next big thing, the next big spreadsheet, the next big internet, but it’s not going to change the whole world beyond just productivity, enhancements, and amazing tools that we have available to us that makes us much better. In that scenario, the winners will continue being fast adopters, probably small and medium businesses, because there won’t be a push for maximum speed either, so they’ll catch up at some point. Then AI native companies will be better companies than other companies, but not necessarily overall disruptors across the board. It’s not necessarily a new species of companies. It’s just companies that are a little bit better at doing stuff, which we also saw during the internet phenomenon and that first big push forward and then bubble, where we had some companies that were fundamentally different on how they operated. It took us another couple of decades for companies to be more and more digitally native along the way. Basically interesting, but it’s boring. It’s like, cool, we got tools, we got promised the world. What are the implications? All these companies that are worth trillions and trillions of dollars are not worth trillions and trillions of dollars. Because at some point we’ll face competition, commoditization. It will just be tools and platforms. They will not unlock that next stage. Therefore, this will have been a bubble, and likely it would be a hard landing to that bubble. That’s the implication.Bertrand Schmitt I would just say that, yes, I agree with you, but I would just say overall, even if it stopped today in terms of quality improvement, speed or stuff, or it barely improves, I still think we will have 10 years of madness just to leverage everything that we have today.Nuno Gonçalves Pedro Understood, Bertrand. This is a scenario. I understand, but maybe we’re going to hit a wall, and we’re going to hit that wall next year, or we’re going to hit that wall in 2 years or whatever.Bertrand Schmitt Possibly. I’m just saying we still have 10 years of goodness from that big push in AI we experienced the past few years.Nuno Gonçalves Pedro Absolutely. Agreed, but it’s boring.Bertrand Schmitt It’s boring. It’s a plateau.Nuno Gonçalves Pedro It’s a plateau. The second one is more of something that we have AI, but humans in the loop are going to be critical along the way. The judgment work that we described earlier in the episode is going to be critical to everything that happens. It’s, I would call it the augmentation scenario. The AI will be a great augmentation tool for humans, but humans will never really quite stop being in the loop. Some of the gains that AI has are broadly distributed in society and in the startup, big corporation and small medium business world. Everyone will have access to them. We humans, are still very important. We have all these augmentation things, and AI is mostly benign. There will be a couple of issues, but honestly, at the end of the day, we’re just better. We’re better, faster, more data-driven, more factually current. We’re doing stuff faster, but humans

Análise a Duran, reforço para a época 2026/2027.Este episódio conta com a participação de João Nuno e Sérgio Engrácia.

A New Apostle - Bax, Spaniard, and Nuno discuss Nuno's bloody ass, new movie preview, the wacky prophet, No Doze and T levels...it's a whole lot, but so are we.  Hang on tight! www.TheLifePodcast.net TheHooliganCorp@gmail.com  

No episódio, Ana Frazão conversa com Nuno Palma, Professor de Economia da Universidade de Manchester sobre o artigo Crescimento econômico no Brasil - How a nation was born: Brazilian economic growth: 1574-1920, que o entrevistado escreveu em coautoria com Guilherme Lambais, da Universidade Lusíada de Lisboa. O artigo retrata estudo sobre o PIB per capita do Brasil do período colonial a até à república, mostrando que, mesmo sendo o Brasil um país sempre pobre, houve um breve período, no início da colonização, no qual os brasileiros tinham renda média comparável a de países europeus. Depois, em meados do século XVII, o país empobreceu e somente em meados do século XIX o PIB volta a crescer. No estudo, os autores concluem que o motor dessa história é a escravidão, grande responsável pela armadilha do salário baixo, baixa tecnologia e baixo desenvolvimento, na medida em que empobreceu o escravizado, empobreceu o trabalhador livre e desestimulou a adoção de processos produtivos mais eficientes. Daí por que a abolição da escravidão, longe de ter sido apenas uma questão humanitária, foi também algo economicamente eficiente. O professor Nuno ainda faz paralelos entre seus estudos e os de Celso Furtado e Nathaniel Leff e faz algumas especulações sobre em que medida as instituições extrativas (na terminologia de Acemoglu e Robinson) decorrentes da escravidão não persistem até hoje. Ao final da conversa, são exploradas outras frentes de estudos e análises importantes para entendermos a formação das instituições econômicas no Brasil.

O Nuno Markl faz anos e é o dia mais especial de sempre!!!!

No dia de anos do Nuno jogámos ao Bingo e foi a loucuraaaaa!

Sam Koltun comes on the show to tell his story from starting guitar at age 10 to moving to Hollywood at 18, his parents support, being a sober guy, playing jams in L.A., Faster Pussycat, Dorothy, and now kicking it up a notch as the new guitar player in Godsmack.He's a world class guitar player and even better person.PATREON - https://www.patreron.com/realizzypres...WEBSITE - https://www.izzypresley.comDawson's Links@Dawsangeles - Twitter/Instagram/Facebookhttps://www.patreon.com/watercoolerIzzy's linkshttps://www.lasvegasguitartradeshow.comhttps://www.sotastick.comhttps://vintageguitarsrus.comhttps://www.beeteramplification.comhttps://www.thesmokinkills.comhttps://www.7thavenuepizza.comhttps://www.lockecustomguitars.com]https://valkenburgusa.com https://www.monstersofrockcruise.comMERCH https://official-izzy-presley-store.creator-spring.comhttps://www.teepublic.com/user/official-izzy-presleyCAMEOhttps://www.cameo.com/realizzypresley RAISE YOUR GLASSEShttps://www.amazon.com/RAISE-YOUR-GLA...

Mush- Bax, Spaniard and Nuno Mush talk about a bedtime story, fights, and a new movie coming soon....there's a whole lot going on.  Nuno gives us a take on the end of times. thehooligancorp@gmail.com www.thelifepodcast.net

Nuno Crato, antigo ministro da educação, considera que Fernando Alexandre não perdeu toda a credibilidade no setor e avisa que o ministro deve mudar a estrutura do ministério.See omnystudio.com/listener for privacy information.

Neste episódio falamos da possibilidade de saída do António Silva e do perfil adequado para o seu substituto. Com participação de João Nuno e Sérgio Engrácia .

Myself and Nuno have a chat about what we've played, along with any board gaming news that has caught our attention, before moving on to this episode's topic: Table Presence. Our 2 sponsors of the show are The Bored Gamer and 3Desiggnie. You can get all their links from our sponsors page. My new YouTube channel 'The Lone Zombie Hunter' is now available for you to watch...and subscribe to :) Also make sure to follow Nuno on his YouTube channel, Instagram and TikTok. You can support us on Ko-Fi where from just £1 a month you will get access to the VIP Lounge on our new Discord server, where you'll have the opportunity to put questions to our interview guests, get behind the scenes chat from 60MW Towers and more! You can of course join our Discord entirely for free too and chat with the podcast hosts and fellow listeners about our shows and much more. Discord link: https://discord.com/invite/wJjBqVMTdn Thanks for listening. Please email any feedback or reviews to contact@60MW.co.uk or use the Contact Us Page.

Support the show and get more from Analytics United: https://www.patreon.com/AnalyticsUnited Cal & Darcy break down the lessons West Ham can learn from analysing last season's relegated sides, Leicester, Ipswich and Southampton, and how they attempted to return to the Premier League at the first time of asking. They discuss how West Ham compares to the state each club was in before last season, how the transfer business they did succeeded and failed, how they performed on the pitch against more tenured Championship sides and much more. Timestamps: (00:00) Intro (04:38) What lessons West Ham can take from Leicester, Ipswich and Southampton (06:41) What state were the relegated sides in before the season started? (12:12) Are West Ham in a better or worse starting position comparatively? (17:31) What went wrong with Leicester's transfers last summer? (23:18) How West Ham can avoid the same fate as Leicester (27:33) Southampton's sensible and balanced rebuild worked (32:20) Retention and consistency is key to transition successfully (37:39) The importance of experience in squad building (38:29) Avoid selling players unnecessarily (41:41) How Leicester, Ipswich and Southampton performed last season (42:44) How Analytics United calculates squad strength (43:51) Where Leicester's squad fell short compared to Southampton & Ipswich (47:29) West Ham need to create more chances this season (51:21) Nuno will have to balance attack and defence (56:01) West Ham should keep Mads Hermansen Please do leave us a review and subscribe to the podcast to catch every episode. You can follow the pod (and our other work) on Twitter: Main: @AnalyticsUtd_ Jack: @jackelderton Cal: @WHU_Analytic Darcy: @futpysche Charlie: @ATopLad Theme music: "Emotional Chill Electronic Vlog Music | Sunset" by Alex-Productions (https://onsound.eu/) Promoted by: https://www.free-stock-music.com Creative Commons / Attribution 3.0 Unported License (CC BY 3.0) https://creativecommons.org/licenses/by/3.0/deed.en_US Learn more about your ad choices. Visit podcastchoices.com/adchoices

Nuno's Portugal squad beat Croatia yesterday, but it wasn't without controversy. How good will they be moving forward? Also, Jaylen Brown talked about his split with Boston. How will his personality work with the Sixers? Then, Michelle gives her top 5 landing spots for LeBron James. Plus, why did Evan take this week off? Learn more about your ad choices. Visit podcastchoices.com/adchoices

Nuno's Portugal squad beat Croatia yesterday, but it wasn't without controversy. How good will they be moving forward? Also, Jaylen Brown talked about his split with Boston. How will his personality work with the Sixers? Then, Michelle gives her top 5 landing spots for LeBron James. Plus, why did Evan take this week off? Learn more about your ad choices. Visit podcastchoices.com/adchoices

Sea Pimpin - Bax, Spaniard, and Nuno discuss vacations, scattered ass, Balls and Seaman, and scary movies. Catch TheLife, it's a whole thing. www.TheLifePodcast.net TheHooliganCorp@gmail.com  

O episódio 349° do TPI contou com a presença de João Nuno, treinador de futebol português. Neste episódio, abordamos a trajetória de João Nuno como técnico, destrinchamos os princípios do seu modelo de jogo, a importância da gestão humana do treinador com seus atletas, a organização dos ciclos de treinamentos de João, o contexto do Belenenses na terceira divisão de Portugal, sua chegada na primeira liga de Portugal e muito mais. Conheça os cursos do Footure: https://footure.com.br/cursos/ SOBRE O FOOTURE Somos uma empresa no ramo do futebol dividida em três áreas: comunicação e análises táticas, cursos e análise de mercado para clubes, jogadores e agentes. Aqui no YouTube, vocês irão encontrar análises táticas de times e jogadores, explicações sobre conceitos táticos e ainda dois podcasts — um debatendo o futebol brasileiro e o outro entrevistando personagens do esporte Conheça mais sobre o podcast

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.

Dr Nuno Castel-Branco is a Research Fellow at All Souls College, Oxford. He completed his Ph.D. in the history of science at Johns Hopkins University in 2021 after earning a Bachelor's and Master's in Physics at the University of Lisbon. Previously, he worked as a Research Fellow at Harvard University's Villa I Tatti in Florence and at the Max Planck Institute for the History of Science in Berlin. His first book, The Traveling Anatomist: Nicolaus Steno and the Intersection of Disciplines in Early Modern Science was published by the University of Chicago Press in October 2025. Dr Castel-Branco's research has been generously supported by institutions such as the Fulbright Program, the Andrew Mellon Foundation, the Royal Society and, more recently, the John Fell Fund from the University of Oxford. His writing has also appeared in publications such as Isis, Renaissance Quarterly and Annals of Science, as well as in the Wall Street Journal, The Washington Post and Scientific American.Substack "Stories of Science" https://nunocastelbranco.substack.com/Link to book: https://www.amazon.com/Traveling-Anatomist-Nicolaus-Intersection-Disciplines/dp/0226842290

PHP Podcast – June 25, 2026 Hosts: Eric Van Johnson & John Congdon Eric and John are back. Sara and Holly did a better job. Eric’s computer still hates him. Eric’s Connectivity Saga: A Possible Resolution For weeks, Eric has been dealing with a maddening streaming issue — he could see and hear everyone, but nobody could hear or see him. It only happened during Zoom, Slack huddles, and Restream sessions. No one could explain it, including Eric. The apparent fix came by accident: while helping his kid troubleshoot a similar issue, Eric pulled up his own DNS settings and discovered they were only pointing to his router with no upstream fallback. He manually added Google’s 8.8.8.8 and Cloudflare’s 1.1.1.1 — and for the first time in weeks, had zero issues all week. Does DNS explain streaming dropouts? Almost certainly not. Does it appear to have fixed it? So far, yes. Computers are stupid. Eric needs to retire and open a landscaping business. Two Weeks Off: Road Trip, Pittsburgh, and a Graduation John took the family on a road trip that included national park hikes, biking across the Golden Gate Bridge, and a swing through Universal Studios. Eric headed to Pittsburgh, technically West Virginia, for his niece’s high school graduation. Eric came away impressed with how much Pittsburgh has changed: what was once a gritty steel city has quietly become a genuinely beautiful place. He’s half-serious about looking at it as a future PHP Tek location. Sara and Holly: The Better Hosts Eric and John opened with a heartfelt thank-you to Sara Golemon and Holly Schilling for covering the last two weeks. John’s take: Sara and Holly showed up with documents, had a plan, and ran a tighter show. He’s joking about handing over the keys — mostly. PHP Architect Takes Over Laravel Magazine Here’s the announcement Eric was teasing before the break: PHP Architect has taken over the Laravel Magazine brand. It was originally a Statamic, which Eric rebuilt from scratch over the past couple of weeks. No plans to create a print magazine — it will remain a web-only publication. Eric is thinking about opening it to outside contributors, and there’s a real possibility of a dedicated Laravel column eventually appearing in the PHP Architect magazine. The new consulting section Eric built for the site looks sharp enough that John immediately pointed out it looks better than what’s currently on phparch.com. Foam Burner Feature: Proof of Concept Wars John got a big feature in Foam Burner across the finish line — or at least mostly across — recorded a screencast, and sent it off to the people who care. The immediate response: a list of compliance concerns and edge cases. This is a proof of concept. John is sympathetic, having just had to tell Eric the same thing about Laravel Magazine. The cycle of building something you’re proud of and then having someone find the things that aren’t done yet is a universal developer experience. Code Review in the Age of AI — What’s the Point? John is in a strange spot: he’s doing careful code review on pull requests written entirely by Claude, submitted by non-developers. His detailed, educational feedback — the kind meant to help a developer understand why something was done a particular way — is just being fed back into Claude to generate revisions. Nobody’s learning anything. An incident during his vacation reinforced why the reviews matter: someone deployed AI-generated code that wasn’t well reviewed, it broke overnight, and the team had to revert it the next morning. His position: keep reviewing, even if the audience is an AI. But the nature of what you’re reviewing for has to change — you’re no longer nurturing a developer; you’re being a gate. Eric’s broader point: if you’re a developer who cares about the craft, don’t let AI make you lazy. Learn from how it implements things. Ask it why. The thing that will differentiate developers when AI really matures is genuine understanding of what the code is doing — and that only comes from staying curious. PHP Generics RFC — Closed The Generics RFC was shut down while Eric and John were away, and Eric is genuinely disappointed. The proposal was for syntax-only generics: type annotations that static analyzers could read but that would be stripped at the opcode level, meaning no runtime performance impact. The goal was to standardize the generics syntax so PHPStan, Psalm, and other tools all read it the same way — right now they each implement their own dialect. Sara voted no (she explained her reasoning in the June 17 episode). Joe abstained. Whether an active abstain requires a deliberate action or is the default for a non-vote is apparently still a matter of some debate. PHP Tek 2026 Talks Now on PHP Tech TV Talks from PHP Tek 2026 are being uploaded to phptech.tv. Subscribers can watch the full library. Several speakers have given permission to make their talks free, and Ben Ramsey’s is one of them. John also added video progress tracking to the platform — it now remembers how far into a video you’ve watched. This Week in PHP Internals (Artisan Build) While looking for a PHP Internals podcast that Nuno appears to have started (possibly in connection with the PHP Foundation after PHPverse), Eric stumbled on a different show: This Week in PHP Internals, hosted on the Artisan Build site, with four episodes out. Eric doesn’t know who runs it but says it’s good — short, focused, and gets to the point. He’s also still looking for confirmation on what exactly Nuno’s new podcast is and who it’s for. For reference: the original PHP Internals podcast was Derick Rethans’ show, which he hasn’t updated in four or five years. The ecosystem growing new shows is a good sign. PHP Friends RFC — Under Discussion John has been watching the friends RFC, currently in the discussion phase. The idea: a class can explicitly declare another class as a “friend,” granting it access to private properties without requiring inheritance. The canonical use case is a builder pattern — a UserBuilder that needs to set private fields on User without a thousand public setters, and without making those fields non-private. Holly, in chat, noted that the friend model is a special case of a “surfaces” model she proposed a few years back. She also shared that Swift doesn’t have protected at all (just public and private) — something she initially found frustrating but has come to appreciate. Eric admits he’s been guilty of abusing inheritance over the years and is more thoughtful about it now. The RFC is still under discussion; no vote yet. Eric Drops PHPStorm — Falls Back in Love with Vim Eric canceled his JetBrains All Products subscription. Not because there’s anything wrong with PHPStorm — he’s explicit about that — but because he’s been doing so much work via Claude Code and making only targeted, smaller changes himself that the license fee no longer made sense. His replacement workflow: VS Code for some things, Vim for others. The Vim part was supposed to be supplemental. Instead, his terminal has taken over: it went from a panel alongside PHPStorm to taking up two-thirds of his screen to now living on its own separate virtual desktop. He’s running Spotify in the terminal. He briefly ran Slack in the terminal. He uses Tmux religiously. “I have problems,” he acknowledged. He would not take this back. Links from the show: Laravel Magazine — Now under PHP Architect PHP Tech TV — PHP Tek 2026 talks now uploading PHP RFC Wiki — All RFCs under discussion PHP Tek 2027 — April 27–29 (phptek.io) PHP Architect Discord Host: Eric Van Johnson X: @shocm Mastodon: @eric@phparch.social Bluesky: @ericvanjohnson.bsky.social PHPArch.me: @eric John Congdon X: @johncongdon Mastodon: @john@phparch.social Bluesky: @johncongdon.bsky.social PHPArch.me: @john Streams: Youtube Channel Twitch Connect & Hire PHP Architect Website Twitter/X Mastodon Hire PHP Developers Looking to hire PHP developers? Email support@phparch.com – Joe and the team are available for consulting, infrastructure work, Ansible playbooks, and code review. Partner This podcast is made a little better thanks to our partners Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore CodeRabbit Cut code review time & bugs in half instantly with CodeRabbit. Music Provided by Epidemic Sound https://www.epidemicsound.com/ Join Us Live Next Week Youtube Channel Got feedback? Join us on Discord at discord.phparch.com The post The PHP Podcast 2026.06.25 appeared first on PHP Architect.

The USA faces off against Turkiye tonight, but Nuno explains why he doesn't think the match matters. Also, Brian Windhorst joined us earlier and had some incredible info on Jaylen Brown & Kawhi Leonard. Plus, Austin Reaves signed a 4-year, $100M deal with the Lakers. What impact will this have on LeBron's future? Learn more about your ad choices. Visit podcastchoices.com/adchoices

The USA faces off against Turkiye tonight, but Nuno explains why he doesn't think the match matters. Also, Brian Windhorst joined us earlier and had some incredible info on Jaylen Brown & Kawhi Leonard. Plus, Austin Reaves signed a 4-year, $100M deal with the Lakers. What impact will this have on LeBron's future? Learn more about your ad choices. Visit podcastchoices.com/adchoices

Posts com o pacote da Rosinha.See omnystudio.com/listener for privacy information.

The Happenings - Bax, Spaniard, and Nuno with his usual technical glitches chat it up.  Current happenings, new movies, high times, the UFC and old movies.  There's a lot going on.  It's a whole thing. www.TheLifePodcast.net TheHooliganCorp@gmail.com  

Who did the best job at manifesting a huge accomplishment in sports? We discuss as part of a controversial Michelle's Madness. Then, Brendan Sorsby's Agent Ron Slavin made some interesting comments about Cincinnati's knowledge of his situation. Also, Nuno is at the Knicks championship parade and checks in. Plus, I'm Over It! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Nuno is trapped in New York! Joe Burrow said this Bengals team feels like 2019 LSU. Why is Burrow talking like this already? Big Ben thinks the Ravens are falling apart, and their window is closed. Could Lamar end up asking out? Then, a round of Can He or Canty. Plus, Canty's Best Bet, and the most UnSportsmanLike moments of the day! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Joe Burrow said this Bengals team feels like 2019 LSU. Why is Burrow talking like this already? Then, Nuno checks in from the Knicks parade, which is not going well for him. Also, is LeBron returning to LA the right answer for the Lakers? Plus, Big Ben thinks the Ravens are falling apart, and their window is closed. Could Lamar end up asking out? Learn more about your ad choices. Visit podcastchoices.com/adchoices

Who did the best job at manifesting a huge accomplishment in sports? We discuss as part of a controversial Michelle's Madness. Then, Brendan Sorsby's Agent Ron Slavin made some interesting comments about Cincinnati's knowledge of his situation. Also, Nuno is at the Knicks championship parade and checks in. Plus, I'm Over It! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Nuno is trapped in New York! Joe Burrow said this Bengals team feels like 2019 LSU. Why is Burrow talking like this already? Big Ben thinks the Ravens are falling apart, and their window is closed. Could Lamar end up asking out? Then, a round of Can He or Canty. Plus, Canty's Best Bet, and the most UnSportsmanLike moments of the day! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Joe Burrow said this Bengals team feels like 2019 LSU. Why is Burrow talking like this already? Then, Nuno checks in from the Knicks parade, which is not going well for him. Also, is LeBron returning to LA the right answer for the Lakers? Plus, Big Ben thinks the Ravens are falling apart, and their window is closed. Could Lamar end up asking out? Learn more about your ad choices. Visit podcastchoices.com/adchoices

ESPN Golf Analyst & former PGA Caddie Michael Collins joins the show to give advice to Producer Pat on caddying for Michael Kim during The Travelers. Also, where would the best landing spot be for Giannis? Plus, Nuno thinks everyone is rooting against him and Portugal today in the World Cup! Learn more about your ad choices. Visit podcastchoices.com/adchoices

ESPN Golf Analyst & former PGA Caddie Michael Collins joins the show to give advice to Producer Pat on caddying for Michael Kim during The Travelers. Also, where would the best landing spot be for Giannis? Plus, Nuno thinks everyone is rooting against him and Portugal today in the World Cup! Learn more about your ad choices. Visit podcastchoices.com/adchoices

David and Richard talk NBA Finals, Stanley Cup, Texas A&M baseball recruiting and more...

On this episode, Payton explores the shocking murder of MIT professor Nuno Loureiro, a world-renowned nuclear physicist who was gunned down outside his apartment. Links: Patreon: https://www.patreon.com/murderwithmyhusband Netflix: https://www.netflix.com/murderwithmyhusband NEW MERCH LINK: https://mwmhshop.com Discount Codes: https://mailchi.mp/c6f48670aeac/oh-no-media-discount-codes Twitch: twitch.tv/throatypie Instagram: https://www.instagram.com/paytonmorelandshow/ Discount Codes: https://mailchi.mp/c6f48670aeac/oh-no-media-discount-codes Watch on Youtube: https://www.youtube.com/channel/UCUbh-B5Or9CT8Hutw1wfYqQ Listen on Apple: https://podcasts.apple.com/us/podcast/into-the-dark/id1662304327 Listen on spotify: https://open.spotify.com/show/36SDVKB2MEWpFGVs9kRgQ7 Sources: CBS News - https://www.cbsnews.com/news/mit-professor-killed-nuno-loureiro-mystery-homicide-investigation/ https://www.cbsnews.com/boston/news/mit-professor-nuno-loureiro-murder-new-reports/ Brookline News - https://brookline.news/police-reports-reveal-shooters-movements-on-day-of-mit-professors-murder/ MIT Office of the President - https://president.mit.edu/writing-speeches/professor-nuno-loureiro WCVB ABC 5 - https://www.wcvb.com/article/shooter-classmates-with-mit-physicist-portugal/69814242 Times of Israel - https://blogs.timesofisrael.com/the-strange-death-of-nuno-loureiro/ International Business Times - https://www.ibtimes.co.uk/heres-why-internet-convinced-something-sinister-lies-behind-mit-nuclear-scientists-death-1763619 ABC News - https://abcnews.com/US/mit-professor-shot-killed-home-boston-suburbs-officials/story?id=128460718 La Voce di New York - https://lavocedinewyork.com/en/news/2025/12/17/mit-professors-killing-raises-fears-of-international-motive/ PBS News - https://www.pbs.org/newshour/nation/shooter-who-killed-mit-professor-and-brown-students-planned-attack-for-months-doj-says People - https://people.com/reddit-post-helped-identify-brown-mit-shooting-suspect-11873238 US News - https://www.usnews.com/news/best-states/massachusetts/articles/2025-12-17/what-to-know-about-mit-professor-nuno-loureiro-who-was-shot-at-home-near-boston Learn more about your ad choices. Visit podcastchoices.com/adchoices

Wemby had a disappointing game 2 performance. What's it going to take for him to bounce back in game 3? ESPN NBA Analyst Vince Goodwill joins to talk about that and more. Also, Upon Further Review with Canty. Plus, I'm Over It (and the return Nuno's Soccer Second!) Learn more about your ad choices. Visit podcastchoices.com/adchoices

Wemby had a disappointing game 2 performance. What's it going to take for him to bounce back in game 3? ESPN NBA Analyst Vince Goodwill joins to talk about that and more. Also, Upon Further Review with Canty. Plus, I'm Over It (and the return Nuno's Soccer Second!) Learn more about your ad choices. Visit podcastchoices.com/adchoices

John Murray, Ian Dennis & Ali Bruce-Ball look ahead to the UEFA Champions League Final. Also hear John's sit-down interview with Gareth Southgate actor, Joseph Fiennes, from new BBC drama Dear England. And who will win the Clash of the Commentators title decider? Messages, questions and voicenotes welcome on WhatsApp to 08000 289 369 & emails to TCV@bbc.co.uk01:00 John in Budapest ahead of UCL Final, 03:20 Ali back from Leipzig after Palace win Conference League, 10:30 Ian prepares to cross the Atlantic… 12:20 PSG v Arsenal preview, 20:45 Premier League final day reflections, 22:40 Nuno stays at West Ham, 24:50 Ali's special treatment at Bournemouth, 28:20 Interview with Gareth Southgate actor Joseph Fiennes, 47:35 Cheesy pub name & more dogs into the TCV XI, 52:50 Clash of the Commentators title decider!5 Live / BBC Sounds commentaries: Sat 1300 Scotland v Curaçao in Friendly, Sat 1700 PSG v Arsenal in UCL Final, Sun 1500 Brighton & Hove v Man City in Women's FA Cup Final.