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An update is coming to Apple's AirPods Max headphones, and we'll tell you what Apple isn't telling you about its new features. Apple spends billions on it, but who is watching Apple TV Plus? Compared to the other streaming services, it doesn't look like a lot. And we take a look at gaming on the Mac just as some big titles are coming to the marketplace. Show Notes: Apple's Worldwide Developers Conference (WWDC) returns June 9–13 Lossless audio and ultra-low latency audio come to AirPods Max USB-C to 3.5 mm Audio Cable (1.2 m) — U.S. $39.00 Apple TV Plus is reportedly losing $1 billion per year Steam game store exploited to push malware—twice in 2 months iMessage scams on the rise: Tax refunds and toll payments Should you delete your 23andMe account data? Bankruptcy and privacy concerns This week, Amazon is taking away the option of not sending voice recordings to the cloud Google fixes Chrome zero-day exploited in espionage campaign Is 2025 the year of Mac gaming? Top 5 reasons to be a Mac gamer Apple silicon Explained in 56 seconds (MKBHD video) Intego Mac Premium Bundle X9 is the ultimate protection and utility suite for your Mac. Download a free trial now at intego.com, and use this link for a special discount when you're ready to buy.

Uma extensão que prometia encontrar os melhores descontos para o consumidor está no centro de um escândalo. É a Honey, acusada de roubar milhões de influenciadores e enganar seus usuários. A coisa foi tão feia que o Google teve que intervir para botar ordem na casa. Mas será que vai ser suficiente?No episódio de hoje, contamos a história absurda da Honey, e compartilhamos um pouco do que acontece nos bastidores do marketing de afiliação. Spoiler: é bem mais complexo — e questionável — do que simplesmente comprar pelo link do seu influenciador favorito. Dá o play e vem com a gente! Participantes Thiago MobilonJosué de Oliveira Ana MarquesEmerson AlecrimConta PJ da WiseA Wise é a conta global que permite enviar, gastar e converter dinheiro para dezenas de moedas. E agora é a vez de empreendedores e pequenos empresários com atuação internacional se beneficiarem desse serviço.Com a Wise Empresas, você conta com a facilidade da Wise para gerenciar suas finanças internacionais, tanto na hora de receber de clientes estrangeiros quanto para pagar fornecedores de fora do país.São mais de 40 moedas à sua escolha para receber pagamentos, acrescentando uma camada extra de proteção contra a variação cambial. Além disso, você pode efetuar pagamentos internacionais em mais de 70 moedas e sacar dinheiro instantaneamente. Tudo na mesma conta, e com suporte em português 24/7.Com a Wise Empresas, você, que é PJ, pode atuar no mercado internacional com menos dor de cabeça. Acesse o site e abra agora sua conta. Mande seu recadoGrupos da Caixa Postal do Tecnocast: Telegram: t.me/caixapostaltecnocast WhatsApp: tbnet.me/caixapostaltecnocast Você pode mandar comentários (inclusive em áudio, vai que você aparece no Tecnocast?), dúvidas, críticas e sugestões. Participe!Se preferir, você pode se comunicar conosco pela Comunidade e através do e-mail tecnocast@tecnoblog.net.Entre também nos Canais do TB no WhatsApp Canal do Tecnoblog Canal do Achados do TB CréditosProdução: Josué de OliveiraEdição e sonorização: Ariel LiborioArte da capa: Vitor Pádua

Once upon a time, my mornings were peaceful. Now? They start whenever my two-year-old daughter decides—and today, that was 3 a.m. In this episode, I take you through a realistic day in the life of a dad, business owner, and podcaster. From chasing a toddler at top speed to tackling an ambitious to-do list, I break down how I've had to completely rethink productivity since becoming a dad.For more go to: www.scottmlynch.comThis episode is brought to you by:Laundry SauceLevel up your life by joining my Patreon where you'll get exclusive content every week and more badass offerings (rips t-shirt in half, Hulk Hogan style, and runs around the room). And/or…Unlock practical and tactical insights on how to master your mindset and optimize your happiness directly to your inbox.If you're a glutton for punishment and want more swift kicks in the mind follow me on social:InstagramYouTubeLeave a review and tell me how I suck so I can stop doing that or you can also tell me about things you like. I'd be okay with that, too.Produced by ya boi.Past guests on The Motivated Mind include Chris Voss, Captain Sandy, Dr. Chris Palmer, Joey Thurman, Jason Harris, Koshin Paley Ellison, Rudy Mawer, Molly Fletcher, Kristen Butler, Hasard Lee, Natasha Graziano, ⁠David Hauser⁠, Cheryl Hunter, Michael Brandt, Heather Moyse, Tim Shriver, and Alan Stein, Jr.

This week, the boys were joined by YouTuber Andrew Clare. Andrew is an Apple-focused YouTube channel from the states, and he joins us to talk about his experience, but also the latest iPhone 16e.   The chat starts with the aforementioned iPhone 16e and David does our first live pod unboxing. The product's value is brought into question as well as the positive coverage of the phone as opposed to a real critique.   The chat then moves onto Galaxy S25 and Andrew shares his experience as a lifelong Apple user and how Samsung has changed since his last experience with the Galaxy S23 Ultra.   YouTube chat begins with talk about a recent video by a YouTube employee on their personal channel critiquing the current state of tech reviews.   Alex rallies the group to, instead of criticising the space, offering advice from the boy's experiences that can help someone looking for inspiration.   Alex has an SD card nightmare, MKBHD's reviews are questioned and much more on this week's Minus Sixteen!   Get in touch: david@talkingtechandaudio.com   #apple #samsung #samsunggalaxy #iphone16e #iphonese #iphone   00:00 Intro 01:43 Unboxing the iPhone 16e 04:19 The C1 modem - the real key part to the 16e 06:25 Who is the 16e for? 09:06 The iPhone 16e price point 13:13 The name - what does it mean? 15:05 The foldables market - does it interest Apple? 19:19 The Beats PowerBeats AirPods 20:32 Andrew and his phone choice 24:42 The WhatsApp conundrum 27:26 Why did FaceTime never catch on? 28:10 A quick Ted Lasso & Apple TV interlude 31:00 What's new from Samsung? 40:00 Our thoughts and advice for if you're starting a channel 52:39 Have the larger channels lost their passion? 58:23 The tech creator space 64:00 YouTube's new approach to ad placement 68:00 YouTube Premium 71:00 The SD card story

The boys are back together on their own this week. The conversation flowed seamlessly between product, business and upcoming events.   Starting with Galaxy S25 chat, Alex gave his view on the S25+ and the value it offers, and the boys discussed base model devices and how they are an excellent value choice for those who just want a dependable smartphone without the bells and whistles.   David was keen to discuss Daniel's video about the S25 Ultra and what would be the reaction if it were made by Apple instead. It's an interesting conversation because the narrative around the S25 Ultra hasn't been positive, especially by some of the bigger creators like MKBHD and publications like The Verge.   Business chat quickly took over, Alex talked about dealing with a sponsorship manager, and being organised and planned with content, David has updated his workflow to include a project management system to get on top of his sponsorship commitments, and Daniel spoke about how he intends to stay as a solo creator for now.   All that and more on this week's Minus Sixteen!   Get in touch: david@talkingtechandaudio.com   #apple #samsung #samsunggalaxy #samsungmobile #iphone17 #samsungspen   David's latest video: https://youtu.be/mi_oJwSqsIw Alex's latest video: https://youtu.be/dnyWLMi0c2w?si=Vmohcyh33MY5Rwgu Daniel's latest video: https://youtu.be/Ee63sUtzSOI?si=dN7o-FI2--mDSE8H Kyle's latest video: https://youtu.be/Ee63sUtzSOI?si=dN7o-FI2--mDSE8H   00:00 Intro 02:45 Thoughts on  Samsung S25 Plus 08:16 Modem talk 09:05 Alex and his iPhone issues 13:10 If this were Apple…  18:22 The Verge and their Apple vs. Samsung views 22:36 If the S25 were and iPhone… 26:02 iOS Apps coming to Android…why? 29:30 MKBHD - has he lost his way? 32:38 Singing to Apple's song 36:53 Productivity & quality standards 51:05 Bringing onboard an editor & staff 56:55 Auto Dubbing in YouTube Studio 

Bundle tickets for AIE Summit NYC have now sold out. You can now sign up for the livestream — where we will be making a big announcement soon. NYC-based readers and Summit attendees should check out the meetups happening around the Summit.2024 was a very challenging year for AI Hardware. After the buzz of CES last January, 2024 was marked by the meteoric rise and even harder fall of AI Wearables companies like Rabbit and Humane, with an assist from a pre-wallpaper-app MKBHD. Even Friend.com, the first to launch in the AI pendant category, and which spurred Rewind AI to rebrand to Limitless and follow in their footsteps, ended up delaying their wearable ship date and launching an experimental website chatbot version. We have been cautiously excited about this category, keeping tabs on most of the top entrants, including Omi and Compass. However, to date the biggest winner still standing from the AI Wearable wars is Bee AI, founded by today's guests Maria and Ethan. Bee is an always on hardware device with beamforming microphones, 7 day battery life and a mute button, that can be worn as a wristwatch or a clip-on pin, backed by an incredible transcription, diarization and very long context memory processing pipeline that helps you to remember your day, your todos, and even perform actions by operating a virtual cloud phone. This is one of the most advanced, production ready, personal AI agents we've ever seen, so we were excited to be their first podcast appearance. We met Bee when we ran the world's first Personal AI meetup in April last year.As a user of Bee (and not an investor! just a friend!) it's genuinely been a joy to use, and we were glad to take advantage of the opportunity to ask hard questions about the privacy and legal/ethical side of things as much as the AI and Hardware engineering side of Bee. We hope you enjoy the episode and tune in next Friday for Bee's first conference talk: Building Perfect Memory.Show Notes* Bee Website* Ethan Sutin, Maria de Lourdes Zollo* Bee @ Personal AI Meetup* Buy Bee with Listener Discount Code!Timestamps* 00:00:00 Introductions and overview of Bee Computer* 00:01:58 Personal context and use cases for Bee* 00:03:02 Origin story of Bee and the founders' background* 00:06:56 Evolution from app to hardware device* 00:09:54 Short-term value proposition for users* 00:12:17 Demo of Bee's functionality* 00:17:54 Hardware form factor considerations* 00:22:22 Privacy concerns and legal considerations* 00:30:57 User adoption and reactions to wearing Bee* 00:35:56 CES experience and hardware manufacturing challenges* 00:41:40 Software pipeline and inference costs* 00:53:38 Technical challenges in real-time processing* 00:57:46 Memory and personal context modeling* 01:02:45 Social aspects and agent-to-agent interactions* 01:04:34 Location sharing and personal data exchange* 01:05:11 Personality analysis capabilities* 01:06:29 Hiring and future of always-on AITranscriptAlessio [00:00:04]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of SmallAI.swyx [00:00:12]: Hey, and today we are very honored to have in the studio Maria and Ethan from Bee.Maria [00:00:16]: Hi, thank you for having us.swyx [00:00:20]: And you are, I think, the first hardware founders we've had on the podcast. I've been looking to have had a hardware founder, like a wearable hardware, like a wearable hardware founder for a while. I think we're going to have two or three of them this year. And you're the ones that I wear every day. So thank you for making Bee. Thank you for all the feedback and the usage. Yeah, you know, I've been a big fan. You are the speaker gift for the Engineering World's Fair. And let's start from the beginning. What is Bee Computer?Ethan [00:00:52]: Bee Computer is a personal AI system. So you can think of it as AI living alongside you in first person. So it can kind of capture your in real life. So with that understanding can help you in significant ways. You know, the obvious one is memory, but that's that's really just the base kind of use case. So recalling and reflective. I know, Swyx, that you you like the idea of journaling, but you don't but still have some some kind of reflective summary of what you experienced in real life. But it's also about just having like the whole context of a human being and understanding, you know, giving the machine the ability to understand, like, what's going on in your life. Your attitudes, your desires, specifics about your preferences, so that not only can it help you with recall, but then anything that you need it to do, it already knows, like, if you think about like somebody who you've worked with or lived with for a long time, they just know kind of without having to ask you what you would want, it's clear that like, that is the future that personal AI, like, it's just going to be very, you know, the AI is just so much more valuable with personal context.Maria [00:01:58]: I will say that one of the things that we are really passionate is really understanding this. Personal context, because we'll make the AI more useful. Think about like a best friend that know you so well. That's one of the things that we are seeing from the user. They're using from a companion standpoint or professional use cases. There are many ways to use B, but companionship and professional are the ones that we are seeing now more.swyx [00:02:22]: Yeah. It feels so dry to talk about use cases. Yeah. Yeah.Maria [00:02:26]: It's like really like investor question. Like, what kind of use case?Ethan [00:02:28]: We're just like, we've been so broken and trained. But I mean, on the base case, it's just like, don't you want your AI to know everything you've said and like everywhere you've been, like, wouldn't you want that?Maria [00:02:40]: Yeah. And don't stay there and repeat every time, like, oh, this is what I like. You already know that. And you do things for me based on that. That's I think is really cool.swyx [00:02:50]: Great. Do you want to jump into a demo? Do you have any other questions?Alessio [00:02:54]: I want to maybe just cover the origin story. Just how did you two meet? What was the was this the first idea you started working on? Was there something else before?Maria [00:03:02]: I can start. So Ethan and I, we know each other from six years now. He had a company called Squad. And before that was called Olabot and was a personal AI. Yeah, I should. So maybe you should start this one. But yeah, that's how I know Ethan. Like he was pivoting from personal AI to Squad. And there was a co-watching with friends product. I had experience working with TikTok and video content. So I had the pivoting and we launched Squad and was really successful. And at the end. The founders decided to sell that to Twitter, now X. So both of us, we joined X. We launched Twitter Spaces. We launched many other products. And yeah, till then, we basically continue to work together to the start of B.Ethan [00:03:46]: The interesting thing is like this isn't the first attempt at personal AI. In 2016, when I started my first company, it started out as a personal AI company. This is before Transformers, no BERT even like just RNNs. You couldn't really do any convincing dialogue at all. I met Esther, who was my previous co-founder. We both really interested in the idea of like having a machine kind of model or understand a dynamic human. We wanted to make personal AI. This was like more geared towards because we had obviously much limited tools, more geared towards like younger people. So I don't know if you remember in 2016, there was like a brief chatbot boom. It was way premature, but it was when Zuckerberg went up on F8 and yeah, M and like. Yeah. The messenger platform, people like, oh, bots are going to replace apps. It was like for about six months. And then everybody realized, man, these things are terrible and like they're not replacing apps. But it was at that time that we got excited and we're like, we tried to make this like, oh, teach the AI about you. So it was just an app that you kind of chatted with and it would ask you questions and then like give you some feedback.Maria [00:04:53]: But Hugging Face first version was launched at the same time. Yeah, we started it.Ethan [00:04:56]: We started out the same office as Hugging Face because Betaworks was our investor. So they had to think. They had a thing called Bot Camp. Betaworks is like a really cool VC because they invest in out there things. They're like way ahead of everybody else. And like back then it was they had something called Bot Camp. They took six companies and it was us and Hugging Face. And then I think the other four, I'm pretty sure, are dead. But and Hugging Face was the one that really got, you know, I mean, 30% success rate is pretty good. Yeah. But yeah, when we it was, it was like it was just the two founders. Yeah, they were kind of like an AI company in the beginning. It was a chat app for teenagers. A lot of people don't know that Hugging Face was like, hey, friend, how was school? Let's trade selfies. But then, you know, they built the Transformers library, I believe, to help them make their chat app better. And then they open sourced and it was like it blew up. And like they're like, oh, maybe this is the opportunity. And now they're Hugging Face. But anyway, like we were obsessed with it at that time. But then it was clear that there's some people who really love chatting and like answering questions. But it's like a lot of work, like just to kind of manually.Maria [00:06:00]: Yeah.Ethan [00:06:01]: Teach like all these things about you to an AI.Maria [00:06:04]: Yeah, there were some people that were super passionate, for example, teenagers. They really like, for example, to speak about themselves a lot. So they will reply to a lot of questions and speak about them. But most of the people, they don't really want to spend time.Ethan [00:06:18]: And, you know, it's hard to like really bring the value with it. We had like sentence similarity and stuff and could try and do, but it was like it was premature with the technology at the time. And so we pivoted. We went to YC and the long story, but like we pivoted to consumer video and that kind of went really viral and got a lot of usage quickly. And then we ended up selling it to Twitter, worked there and left before Elon, not related to Elon, but left Twitter.swyx [00:06:46]: And then I should mention this is the famous time when well, when when Elon was just came in, this was like Esther was the famous product manager who slept there.Ethan [00:06:56]: My co-founder, my former co-founder, she sleeping bag. She was the sleep where you were. Yeah, yeah, she stayed. We had left by that point.swyx [00:07:03]: She very stayed, she's famous for staying.Ethan [00:07:06]: Yeah, but later, later left or got, I think, laid off, laid off. Yeah, I think the whole product team got laid off. She was a product manager, director. But yeah, like we left before that. And then we're like, oh, my God, things are different now. You know, I think this is we really started working on again right before ChatGPT came out. But we had an app version and we kind of were trying different things around it. And then, you know, ultimately, it was clear that, like, there were some limitations we can go on, like a good question to ask any wearable company is like, why isn't this an app? Yes. Yeah. Because like.Maria [00:07:40]: Because we tried the app at the beginning.Ethan [00:07:43]: Yeah. Like the idea that it could be more of a and B comes from ambient. So like if it was more kind of just around you all the time and less about you having to go open the app and do the effort to, like, enter in data that led us down the path of hardware. Yeah. Because the sensors on this are microphones. So it's capturing and understanding audio. We started actually our first hardware with a vision component, too. And we can talk about why we're not doing that right now. But if you wanted to, like, have a continuous understanding of audio with your phone, it would monopolize your microphone. It would get interrupted by calls and you'd have to remember to turn it on. And like that little bit of friction is actually like a substantial barrier to, like, get your phone. It's like the experience of it just being with you all the time and like living alongside you. And so I think that that's like the key reason it's not an app. And in fact, we do have Apple Watch support. So anybody who has a watch, Apple Watch can use it right away without buying any hardware. Because we worked really hard to make a version for the watch that can run in the background, not super drain your battery. But even with the watch, there's still friction because you have to remember to turn it on and it still gets interrupted if somebody calls you. And you have to remember to. We send a notification, but you still have to go back and turn it on because it's just the way watchOS works.Maria [00:09:04]: One of the things that we are seeing from our Apple Watch users, like I love the Apple Watch integration. One of the things that we are seeing is that people, they start using it from Apple Watch and after a couple of days they buy the B because they just like to wear it.Ethan [00:09:17]: Yeah, we're seeing.Maria [00:09:18]: That's something that like they're learning and it's really cool. Yeah.Ethan [00:09:21]: I mean, I think like fundamentally we like to think that like a personal AI is like the mission. And it's more about like the understanding. Connecting the dots, making use of the data to provide some value. And the hardware is like the ears of the AI. It's not like integrating like the incoming sensor data. And that's really what we focus on. And like the hardware is, you know, if we can do it well and have a great experience on the Apple Watch like that, that's just great. I mean, but there's just some platform restrictions that like existing hardware makes it hard to provide that experience. Yeah.Alessio [00:09:54]: What do people do in like two or three days that then convinces them to buy it? They buy the product. This feels like a product where like after you use it for a while, you have enough data to start to get a lot of insights. But it sounds like maybe there's also like a short term.Maria [00:10:07]: From the Apple Watch users, I believe that because every time that you receive a call after, they need to go back to B and open it again. Or for example, every day they need to charge Apple Watch and reminds them to open the app every day. They feel like, okay, maybe this is too much work. I just want to wear the B and just keep it open and that's it. And I don't need to think about it.Ethan [00:10:27]: I think they see the kind of potential of it just from the watch. Because even if you wear it a day, like we send a summary notification at the end of the day about like just key things that happened to you in your day. And like I didn't even think like I'm not like a journaling type person or like because like, oh, I just live the day. Why do I need to like think about it? But like it's actually pretty sometimes I'm surprised how interesting it is to me just to kind of be like, oh, yeah, that and how it kind of fits together. And I think that's like just something people get immediately with the watch. But they're like, oh, I'd like an easier watch. I'd like a better way to do this.swyx [00:10:58]: It's surprising because I only know about the hardware. But I use the watch as like a backup for when I don't have the hardware. I feel like because now you're beamforming and all that, this is significantly better. Yeah, that's the other thing.Ethan [00:11:11]: We have way more control over like the Apple Watch. You're limited in like you can't set the gain. You can't change the sample rate. There's just very limited framework support for doing anything with audio. Whereas if you control it. Then you can kind of optimize it for your use case. The Apple Watch isn't meant to be kind of recording this. And we can talk when we get to the part about audio, why it's so hard. This is like audio on the hardest level because you don't know it has to work in all environments or you try and make it work as best as it can. Like this environment is very great. We're in a studio. But, you know, afterwards at dinner in a restaurant, it's totally different audio environment. And there's a lot of challenges with that. And having really good source audio helps. But then there's a lot more. But with the machine learning that still is, you know, has to be done to try and account because like you can tune something for one environment or another. But it'll make one good and one bad. And like making something that's flexible enough is really challenging.Alessio [00:12:10]: Do we want to do a demo just to set the stage? And then we kind of talk about.Maria [00:12:14]: Yeah, I think we can go like a walkthrough and the prod.Alessio [00:12:17]: Yeah, sure.swyx [00:12:17]: So I think we said I should. So for listeners, we'll be switching to video. That was superimposed on. And to this video, if you want to see it, go to our YouTube, like and subscribe as always. Yeah.Maria [00:12:31]: And by the bee. Yes.swyx [00:12:33]: And by the bee. While you wait. While you wait. Exactly. It doesn't take long.Maria [00:12:39]: Maybe you should have a discount code just for the listeners. Sure.swyx [00:12:43]: If you want to offer it, I'll take it. All right. Yeah. Well, discount code Swyx. Oh s**t. Okay. Yeah. There you go.Ethan [00:12:49]: An important thing to mention also is that the hardware is meant to work with the phone. And like, I think, you know, if you, if you look at rabbit or, or humane, they're trying to create like a new hardware platform. We think that the phone's just so dominant and it will be until we have the next generation, which is not going to be for five, you know, maybe some Orion type glasses that are cheap enough and like light enough. Like that's going to take a long time before with the phone rather than trying to just like replace it. So in the app, we have a summary of your days, but at the top, it's kind of what's going on now. And that's updating your phone. It's updating continuously. So right now it's saying, I'm discussing, you know, the development of, you know, personal AI, and that's just kind of the ongoing conversation. And then we give you a readable form. That's like little kind of segments of what's the important parts of the conversations. We do speaker identification, which is really important because you don't want your personal AI thinking you said something and attributing it to you when it was just somebody else in the conversation. So you can also teach it other people's voices. So like if some, you know, somebody close to you, so it can start to understand your relationships a little better. And then we do conversation end pointing, which is kind of like a task that didn't even exist before, like, cause nobody needed to do this. But like if you had somebody's whole day, how do you like break it into logical pieces? And so we use like not just voice activity, but other signals to try and split up because conversations are a little fuzzy. They can like lead into one, can start to the next. So also like the semantic content of it. When a conversation ends, we run it through larger models to try and get a better, you know, sense of the actual, what was said and then summarize it, provide key points. What was the general atmosphere and tone of the conversation and potential action items that might've come of that. But then at the end of the day, we give you like a summary of all your day and where you were and just kind of like a step-by-step walkthrough of what happened and what were the key points. That's kind of just like the base capture layer. So like if you just want to get a kind of glimpse or recall or reflect that's there. But really the key is like all of this is now like being influenced on to generate personal context about you. So we generate key items known to be true about you and that you can, you know, there's a human in the loop aspect is like you can, you have visibility. Right. Into that. And you can, you know, I have a lot of facts about technology because that's basically what I talk about all the time. Right. But I do have some hobbies that show up and then like, how do you put use to this context? So I kind of like measure my day now and just like, what is my token output of the day? You know, like, like as a human, how much information do I produce? And it's kind of measured in tokens and it turns out it's like around 200,000 or so a day. But so in the recall case, we have, um. A chat interface, but the key here is on the recall of it. Like, you know, how do you, you know, I probably have 50 million tokens of personal context and like how to make sense of that, make it useful. So I can ask simple, like, uh, recall questions, like details about the trip I was on to Taiwan, where recently we're with our manufacturer and, um, in real time, like it will, you know, it has various capabilities such as searching through your, your memories, but then also being able to search the web or look at my calendar, we have integrations with Gmail and calendars. So like connecting the dots between the in real life and the digital life. And, you know, I just asked it about my Taiwan trip and it kind of gives me the, the breakdown of the details, what happened, the issues we had around, you know, certain manufacturing problems and it, and it goes back and references the conversation so I can, I can go back to the source. Yeah.Maria [00:16:46]: Not just the conversation as well, the integrations. So we have as well Gmail and Google calendar. So if there is something there that was useful to have more context, we can see that.Ethan [00:16:56]: So like, and it can, I never use the word agentic cause it's, it's cringe, but like it can search through, you know, if I, if I'm brainstorming about something that spans across, like search through my conversation, search the email, look at the calendar and then depending on what's needed. Then synthesize, you know, something with all that context.Maria [00:17:18]: I love that you did the Spotify wrapped. That was pretty cool. Yeah.Ethan [00:17:22]: Like one thing I did was just like make a Spotify wrap for my 2024, like of my life. You can do that. Yeah, you can.Maria [00:17:28]: Wait. Yeah. I like those crazy.Ethan [00:17:31]: Make a Spotify wrapped for my life in 2024. Yeah. So it's like surprisingly good. Um, it like kind of like game metrics. So it was like you visited three countries, you shipped, you know, XMini, beta. Devices.Maria [00:17:46]: And that's kind of more personal insights and reflection points. Yeah.swyx [00:17:51]: That's fascinating. So that's the demo.Ethan [00:17:54]: Well, we have, we can show something that's in beta. I don't know if we want to do it. I don't know.Maria [00:17:58]: We want to show something. Do it.Ethan [00:18:00]: And then we can kind of fit. Yeah.Maria [00:18:01]: Yeah.Ethan [00:18:02]: So like the, the, the, the vision is also like, not just about like AI being with you in like just passively understanding you through living your experience, but also then like it proactively suggesting things to you. Yeah. Like at the appropriate time. So like not just pool, but, but kind of, it can step in and suggest things to you. So, you know, one integration we have that, uh, is in beta is with WhatsApp. Maria is asking for a recommendation for an Italian restaurant. Would you like me to look up some highly rated Italian restaurants nearby and send her a suggestion?Maria [00:18:34]: So what I did, I just sent to Ethan a message through WhatsApp in his own personal phone. Yeah.Ethan [00:18:41]: So, so basically. B is like watching all my incoming notifications. And if it meets two criteria, like, is it important enough for me to raise a suggestion to the user? And then is there something I could potentially help with? So this is where the actions come into place. So because Maria is my co-founder and because it was like a restaurant recommendation, something that it could probably help with, it proposed that to me. And then I can, through either the chat and we have another kind of push to talk walkie talkie style button. It's actually a multi-purpose button to like toggle it on or off, but also if you push to hold, you can talk. So I can say, yes, uh, find one and send it to her on WhatsApp is, uh, an Android cloud phone. So it's, uh, going to be able to, you know, that has access to all my accounts. So we're going to abstract this away and the execution environment is not really important, but like we can go into technically why Android is actually a pretty good one right now. But, you know, it's searching for Italian restaurants, you know, and we don't have to watch this. I could be, you know, have my ear AirPods in and in my pocket, you know, it's going to go to WhatsApp, going to find Maria's thread, send her the response and then, and then let us know. Oh my God.Alessio [00:19:56]: But what's the, I mean, an Italian restaurant. Yeah. What did it choose? What did it choose? It's easy to say. Real Italian is hard to play. Exactly.Ethan [00:20:04]: It's easy to say. So I doubt it. I don't know.swyx [00:20:06]: For the record, since you have the Italians, uh, best Italian restaurant in SF.Maria [00:20:09]: Oh my God. I still don't have one. What? No.Ethan [00:20:14]: I don't know. Successfully found and shared.Alessio [00:20:16]: Let's see. Let's see what the AI says. Bottega. Bottega? I think it's Bottega.Maria [00:20:21]: Have you been to Bottega? How is it?Alessio [00:20:24]: It's fine.Maria [00:20:25]: I've been to one called like Norcina, I think it was good.Alessio [00:20:29]: Bottega is on Valencia Street. It's fine. The pizza is not good.Maria [00:20:32]: It's not good.Alessio [00:20:33]: Some of the pastas are good.Maria [00:20:34]: You know, the people I'm sorry to interrupt. Sorry. But there is like this Delfina. Yeah. That here everybody's like, oh, Pizzeria Delfina is amazing. I'm overrated. This is not. I don't know. That's great. That's great.swyx [00:20:46]: The North Beach Cafe. That place you took us with Michele last time. Vega. Oh.Alessio [00:20:52]: The guy at Vega, Giuseppe, he's Italian. Which one is that? It's in Bernal Heights. Ugh. He's nice. He's not nice. I don't know that one. What's the name of the place? Vega. Vega. Vega. Cool. We got the name. Vega. But it's not Vega.Maria [00:21:02]: It's Italian. Whatswyx [00:21:10]: Vega. Vega.swyx [00:21:16]: Vega. Vega. Vega. Vega. Vega. Vega. Vega. Vega. Vega.Ethan [00:21:29]: Vega. Vega. Vega. Vega. Vega.Ethan [00:21:40]: We're going to see a lot of innovation around hardware and stuff, but I think the real core is being able to do something useful with the personal context. You always had the ability to capture everything, right? We've always had recorders, camcorders, body cameras, stuff like that. But what's different now is we can actually make sense and find the important parts in all of that context.swyx [00:22:04]: Yeah. So, and then one last thing, I'm just doing this for you, is you also have an API, which I think I'm the first developer against. Because I had to build my own. We need to hire a developer advocate. Or just hire AI engineers. The point is that you should be able to program your own assistant. And I tried OMI, the former friend, the knockoff friend, and then real friend doesn't have an API. And then Limitless also doesn't have an API. So I think it's very important to own your data. To be able to reprocess your audio, maybe. Although, by default, you do not store audio. And then also just to do any corrections. There's no way that my needs can be fully met by you. So I think the API is very important.Ethan [00:22:47]: Yeah. And I mean, I've always been a consumer of APIs in all my products.swyx [00:22:53]: We are API enjoyers in this house.Ethan [00:22:55]: Yeah. It's very frustrating when you have to go build a scraper. But yeah, it's for sure. Yeah.swyx [00:23:03]: So this whole combination of you have my location, my calendar, my inbox. It really is, for me, the sort of personal API.Alessio [00:23:10]: And is the API just to write into it or to have it take action on external systems?Ethan [00:23:16]: Yeah, we're expanding it. It's right now read-only. In the future, very soon, when the actions are more generally available, it'll be fully supported in the API.Alessio [00:23:27]: Nice. I'll buy one after the episode.Ethan [00:23:30]: The API thing, to me, is the most interesting. Yeah. We do have real-time APIs, so you can even connect a socket and connect it to whatever you want it to take actions with. Yeah. It's too smart for me.Alessio [00:23:43]: Yeah. I think when I look at these apps, and I mean, there's so many of these products, we launch, it's great that I can go on this app and do things. But most of my work and personal life is managed somewhere else. Yeah. So being able to plug into it. Integrate that. It's nice. I have a bunch of more, maybe, human questions. Sure. I think maybe people might have. One, is it good to have instant replay for any argument that you have? I can imagine arguing with my wife about something. And, you know, there's these commercials now where it's basically like two people arguing, and they're like, they can throw a flag, like in football, and have an instant replay of the conversation. I feel like this is similar, where it's almost like people cannot really argue anymore or, like, lie to each other. Because in a world in which everybody adopts this, I don't know if you thought about it. And also, like, how the lies. You know, all of us tell lies, right? How do you distinguish between when I'm, there's going to be sometimes things that contradict each other, because I might say something publicly, and I might think something, really, that I tell someone else. How do you handle that when you think about building a product like this?Maria [00:24:48]: I would say that I like the fact that B is an objective point of view. So I don't care too much about the lies, but I care more about the fact that can help me to understand what happened. Mm-hmm. And the emotions in a really objective way, like, really, like, critical and objective way. And if you think about humans, they have so many emotions. And sometimes something that happened to me, like, I don't know, I would feel, like, really upset about it or really angry or really emotional. But the AI doesn't have those emotions. It can read the conversation, understand what happened, and be objective. And I think the level of support is the one that I really like more. Instead of, like, oh, did this guy tell me a lie? I feel like that's not exactly, like, what I feel. I find it curious for me in terms of opportunity.Alessio [00:25:35]: Is the B going to interject in real time? Say I'm arguing with somebody. The B is like, hey, look, no, you're wrong. What? That person actually said.Ethan [00:25:43]: The proactivity is something we're very interested in. Maybe not for, like, specifically for, like, selling arguments, but more for, like, and I think that a lot of the challenge here is, you know, you need really good reasoning to kind of pull that off. Because you don't want it just constantly interjecting, because that would be super annoying. And you don't want it to miss things that it should be interjecting. So, like, it would be kind of a hard task even for a human to be, like, just come in at the right times when it's appropriate. Like, it would take the, you know, with the personal context, it's going to be a lot better. Because, like, if somebody knows about you, but even still, it requires really good reasoning to, like, not be too much or too little and just right.Maria [00:26:20]: And the second part about, well, like, some things, you know, you say something to somebody else, but after I change my mind, I send something. Like, it's every time I have, like, different type of conversation. And I'm like, oh, I want to know more about you. And I'm like, oh, I want to know more about you. I think that's something that I found really fascinating. One of the things that we are learning is that, indeed, humans, they evolve over time. So, for us, one of the challenges is actually understand, like, is this a real fact? Right. And so far, what we do is we give, you know, to the, we have the human in the loop that can say, like, yes, this is true, this is not. Or they can edit their own fact. For sure, in the future, we want to have all of that automatized inside of the product.Ethan [00:26:57]: But, I mean, I think your question kind of hits on, and I know that we'll talk about privacy, but also just, like, if you have some memory and you want to confirm it with somebody else, that's one thing. But it's for sure going to be true that in the future, like, not even that far into the future, that it's just going to be kind of normalized. And we're kind of in a transitional period now. And I think it's, like, one of the key things that is for us to kind of navigate that and make sure we're, like, thinking of all the consequences. And how to, you know, make the right choices in the way that everything's designed. And so, like, it's more beneficial than it could be harmful. But it's just too valuable for your AI to understand you. And so if it's, like, MetaRay bands or the Google Astra, I think it's just people are going to be more used to it. So people's behaviors and expectations will change. Whether that's, like, you know, something that is going to happen now or in five years, it's probably in that range. And so, like, I think we... We kind of adapt to new technologies all the time. Like, when the Ring cameras came out, that was kind of quite controversial. It's like... But now it's kind of... People just understand that a lot of people have cameras on their doors. And so I think that...Maria [00:28:09]: Yeah, we're in a transitional period for sure.swyx [00:28:12]: I will press on the privacy thing because that is the number one thing that everyone talks about. Obviously, I think in Silicon Valley, people are a little bit more tech-forward, experimental, whatever. But you want to go mainstream. You want to sell to consumers. And we have to worry about this stuff. Baseline question. The hardest version of this is law. There are one-party consent states where this is perfectly legal. Then there are two-party consent states where they're not. What have you come around to this on?Ethan [00:28:38]: Yeah, so the EU is a totally different regulatory environment. But in the U.S., it's basically on a state-by-state level. Like, in Nevada, it's single-party. In California, it's two-party. But it's kind of untested. You know, it's different laws, whether it's a phone call, whether it's in person. In a state like California, it's two-party. Like, anytime you're in public, there's no consent comes into play because the expectation of privacy is that you're in public. But we process the audio and nothing is persisted. And then it's summarized with the speaker identification focusing on the user. Now, it's kind of untested on a legal, and I'm not a lawyer, but does that constitute the same as, like, a recording? So, you know, it's kind of a gray area and untested in law right now. I think that the bigger question is, you know, because, like, if you had your Ray-Ban on and were recording, then you have a video of something that happened. And that's different than kind of having, like, an AI give you a summary that's focused on you that's not really capturing anybody's voice. You know, I think the bigger question is, regardless of the legal status, like, what is the ethical kind of situation with that? Because even in Nevada that we're—or many other U.S. states where you can record. Everything. And you don't have to have consent. Is it still, like, the right thing to do? The way we think about it is, is that, you know, we take a lot of precautions to kind of not capture personal information of people around. Both through the speaker identification, through the pipeline, and then the prompts, and the way we store the information to be kind of really focused on the user. Now, we know that's not going to, like, satisfy a lot of people. But I think if you do try it and wear it again. It's very hard for me to see anything, like, if somebody was wearing a bee around me that I would ever object that it captured about me as, like, a third party to it. And like I said, like, we're in this transitional period where the expectation will just be more normalized. That it's, like, an AI. It's not capturing, you know, a full audio recording of what you said. And it's—everything is fully geared towards helping the person kind of understand their state and providing valuable information to them. Not about, like, logging details about people they encounter.Alessio [00:30:57]: You know, I've had the same question also with the Zoom meeting transcribers thing. I think there's kind of, like, the personal impact that there's a Firefly's AI recorder. Yeah. I just know that it's being recorded. It's not like a—I don't know if I'm going to say anything different. But, like, intrinsically, you kind of feel—because it's not pervasive. And I'm curious, especially, like, in your investor meetings. Do people feel differently? Like, have you had people ask you to, like, turn it off? Like, in a business meeting, to not record? I'm curious if you've run into any of these behaviors.Maria [00:31:29]: You know what's funny? On my end, I wear it all the time. I take my coffee, a blue bottle with it. Or I work with it. Like, obviously, I work on it. So, I wear it all the time. And so far, I don't think anybody asked me to turn it off. I'm not sure if because they were really friendly with me that they know that I'm working on it. But nobody really cared.swyx [00:31:48]: It's because you live in SF.Maria [00:31:49]: Actually, I've been in Italy as well. Uh-huh. And in Italy, it's a super privacy concern. Like, Europe is a super privacy concern. And again, they're nothing. Like, it's—I don't know. Yeah. That, for me, was interesting.Ethan [00:32:01]: I think—yeah, nobody's ever asked me to turn it off, even after giving them full demos and disclosing. I think that some people have said, well, my—you know, in a personal relationship, my partner initially was, like, kind of uncomfortable about it. We heard that from a few users. And that was, like, more in just, like— It's not like a personal relationship situation. And the other big one is people are like, I do like it, but I cannot wear this at work. I guess. Yeah. Yeah. Because, like, I think I will get in trouble based on policies or, like, you know, if you're wearing it inside a research lab or something where you're working on things that are kind of sensitive that, like—you know, so we're adding certain features like geofencing, just, like, at this location. It's just never active.swyx [00:32:50]: I mean, I've often actually explained to it the other way, where maybe you only want it at work, so you never take it from work. And it's just a work device, just like your Zoom meeting recorder is a work device.Ethan [00:33:09]: Yeah, professionals have been a big early adopter segment. And you say in San Francisco, but we have out there our daily shipment of over 100. If you go look at the addresses, Texas, I think, is our biggest state, and Florida, just the biggest states. A lot of professionals who talk for, and we didn't go out to build it for that use case, but I think there is a lot of demand for white-collar people who talk for a living. And I think we're just starting to talk with them. I think they just want to be able to improve their performance around, understand what they were doing.Alessio [00:33:47]: How do you think about Gong.io? Some of these, for example, sales training thing, where you put on a sales call and then it coaches you. They're more verticalized versus having more horizontal platform.Ethan [00:33:58]: I am not super familiar with those things, because like I said, it was kind of a surprise to us. But I think that those are interesting. I've seen there's a bunch of them now, right? Yeah. It kind of makes sense. I'm terrible at sales, so I could probably use one. But it's not my job, fundamentally. But yeah, I think maybe it's, you know, we heard also people with restaurants, if they're able to understand, if they're doing well.Maria [00:34:26]: Yeah, but in general, I think a lot of people, they like to have the double check of, did I do this well? Or can you suggest me how I can do better? We had a user that was saying to us that he used for interviews. Yeah, he used job interviews. So he used B and after asked to the B, oh, actually, how do you think my interview went? What I should do better? And I like that. And like, oh, that's actually like a personal coach in a way.Alessio [00:34:50]: Yeah. But I guess the question is like, do you want to build all of those use cases? Or do you see B as more like a platform where somebody is going to build like, you know, the sales coach that connects to B so that you're kind of the data feed into it?Ethan [00:35:02]: I don't think this is like a data feed, more like an understanding kind of engine and like definitely. In the future, having third parties to the API and building out for all the different use cases is something that we want to do. But the like initial case we're trying to do is like build that layer for all that to work. And, you know, we're not trying to build all those verticals because no startup could do that well. But I think that it's really been quite fascinating to see, like, you know, I've done consumer for a long time. Consumer is very hard to predict, like, what's going to be. It's going to be like the thing that's the killer feature. And so, I mean, we really believe that it's the future, but we don't know like what exactly like process it will take to really gain mass adoption.swyx [00:35:50]: The killer consumer feature is whatever Nikita Beer does. Yeah. Social app for teens.Ethan [00:35:56]: Yeah, well, I like Nikita, but, you know, he's good at building bootstrap companies and getting them very viral. And then selling them and then they shut down.swyx [00:36:05]: Okay, so you just came back from CES.Maria [00:36:07]: Yeah, crazy. Yeah, tell us. It was my first time in Vegas and first time CES, both of them were overwhelming.swyx [00:36:15]: First of all, did you feel like you had to do it because you're in consumer hardware?Maria [00:36:19]: Then we decided to be there and to have a lot of partners and media meetings, but we didn't have our own booth. So we decided to just keep that. But we decided to be there and have a presence there, even just us and speak with people. It's very hard to stand out. Yeah, I think, you know, it depends what type of booth you have. I think if you can prepare like a really cool booth.Ethan [00:36:41]: Have you been to CES?Maria [00:36:42]: I think it can be pretty cool.Ethan [00:36:43]: It's massive. It's huge. It's like 80,000, 90,000 people across the Venetian and the convention center. And it's, to me, I always wanted to go just like...Maria [00:36:53]: Yeah, you were the one who was like...swyx [00:36:55]: I thought it was your idea.Ethan [00:36:57]: I always wanted to go just as a, like, just as a fan of...Maria [00:37:01]: Yeah, you wanted to go anyways.Ethan [00:37:02]: Because like, growing up, I think CES like kind of peaked for a while and it was like, oh, I want to go. That's where all the cool, like... gadgets, everything. Yeah, now it's like SmartBitch and like, you know, vacuuming the picks up socks. Exactly.Maria [00:37:13]: There are a lot of cool vacuums. Oh, they love it.swyx [00:37:15]: They love the Roombas, the pick up socks.Maria [00:37:16]: And pet tech. Yeah, yeah. And dog stuff.swyx [00:37:20]: Yeah, there's a lot of like robot stuff. New TVs, new cars that never ship. Yeah. Yeah. I'm thinking like last year, this time last year was when Rabbit and Humane launched at CES and Rabbit kind of won CES. And now this year, no wearables except for you guys.Ethan [00:37:32]: It's funny because it's obviously it's AI everything. Yeah. Like every single product. Yeah.Maria [00:37:37]: Toothbrush with AI, vacuums with AI. Yeah. Yeah.Ethan [00:37:41]: We like hair blow, literally a hairdryer with AI. We saw.Maria [00:37:45]: Yeah, that was cool.Ethan [00:37:46]: But I think that like, yeah, we didn't, another kind of difference like around our, like we didn't want to do like a big overhypey promised kind of Rabbit launch. Because I mean, they did, hats off to them, like on the presentation and everything, obviously. But like, you know, we want to let the product kind of speak for itself and like get it out there. And I think we were really happy. We got some very good interest from media and some of the partners there. So like it was, I think it was definitely worth going. I would say like if you're in hardware, it's just kind of how you make use of it. Like I think to do it like a big Rabbit style or to have a huge show on there, like you need to plan that six months in advance. And it's very expensive. But like if you, you know, go there, there's everybody's there. All the media is there. There's a lot of some pre-show events that it's just great to talk to people. And the industry also, all the manufacturers, suppliers are there. So we learned about some really cool stuff that we might like. We met with somebody. They have like thermal energy capture. And it's like, oh, could you maybe not need to charge it? Because they have like a thermal that can capture your body heat. And what? Yeah, they're here. They're actually here. And in Palo Alto, they have like a Fitbit thing that you don't have to charge.swyx [00:39:01]: Like on paper, that's the power you can get from that. What's the power draw for this thing?Ethan [00:39:05]: It's more than you could get from the body heat, it turns out. But it's quite small. I don't want to disclose technically. But I think that solar is still, they also have one where it's like this thing could be like the face of it. It's just a solar cell. And like that is more realistic. Or kinetic. Kinetic, apparently, I'm not an expert in this, but they seem to think it wouldn't be enough. Kinetic is quite small, I guess, on the capture.swyx [00:39:33]: Well, I mean, watch. Watchmakers have been powering with kinetic for a long time. Yeah. We don't have to talk about that. I just want to get a sense of CES. Would you do it again? I definitely would not. Okay. You're just a fan of CES. Business point of view doesn't make sense. I happen to be in the conference business, right? So I'm kind of just curious. Yeah.Maria [00:39:49]: So I would say as we did, so without the booth and really like straightforward conversations that were already planned. Three days. That's okay. I think it was okay. Okay. But if you need to invest for a booth that is not. Okay. A good one. Which is how much? I think.Ethan [00:40:06]: 10 by 10 is 5,000. But on top of that, you need to. And then they go like 10 by 10 is like super small. Yeah. And like some companies have, I think would probably be more in like the six figure range to get. And I mean, I think that, yeah, it's very noisy. We heard this, that it's very, very noisy. Like obviously if you're, everything is being launched there and like everything from cars to cell phones are being launched. Yeah. So it's hard to stand out. But like, I think going in with a plan of who you want to talk to, I feel like.Maria [00:40:36]: That was worth it.Ethan [00:40:37]: Worth it. We had a lot of really positive media coverage from it and we got the word out and like, so I think we accomplished what we wanted to do.swyx [00:40:46]: I mean, there's some world in which my conference is kind of the CES of whatever AI becomes. Yeah. I think that.Maria [00:40:52]: Don't do it in Vegas. Don't do it in Vegas. Yeah. Don't do it in Vegas. That's the only thing. I didn't really like Vegas. That's great. Amazing. Those are my favorite ones.Alessio [00:41:02]: You can not fit 90,000 people in SF. That's really duh.Ethan [00:41:05]: You need to do like multiple locations so you can do Moscone and then have one in.swyx [00:41:09]: I mean, that's what Salesforce conferences. Well, GDC is how many? That might be 50,000, right? Okay. Form factor, right? Like my way to introduce this idea was that I was at the launch in Solaris. What was the old name of it? Newton. Newton. Of Tab when Avi first launched it. He was like, I thought through everything. Every form factor, pendant is the thing. And then we got the pendants for this original. The first one was just pendants and I took it off and I forgot to put it back on. So you went through pendants, pin, bracelet now, and maybe there's sort of earphones in the future, but what was your iterations?Maria [00:41:49]: So we had, I believe now three or four iterations. And one of the things that we learned is indeed that people don't like the pendant. In particular, woman, you don't want to have like anything here on the chest because it's maybe you have like other necklace or any other stuff.Ethan [00:42:03]: You just ship a premium one that's gold. Yeah. We're talking some fashion reached out to us.Maria [00:42:11]: Some big fashion. There is something there.swyx [00:42:13]: This is where it helps to have an Italian on the team.Maria [00:42:15]: There is like some big Italian luxury. I can't say anything. So yeah, bracelet actually came from the community because they were like, oh, I don't want to wear anything like as necklace or as a pendant. Like it's. And also like the one that we had, I don't know if you remember, like it was like circle, like it was like this and was like really bulky. Like people didn't like it. And also, I mean, I actually, I don't dislike, like we were running fast when we did that. Like our, our thing was like, we wanted to ship them as soon as possible. So we're not overthinking the form factor or the material. We were just want to be out. But after the community organically, basically all of them were like, well, why you don't just don't do the bracelet? Like he's way better. I will just wear it. And that's it. So that's how we ended up with the bracelet, but it's still modular. So I still want to play around the father is modular and you can, you know, take it off and wear it as a clip or in the future, maybe we will bring back the pendant. But I like the fact that there is some personalization and right now we have two colors, yellow and black. Soon we will have other ones. So yeah, we can play a lot around that.Ethan [00:43:25]: I think the form factor. Like the goal is for it to be not super invasive. Right. And something that's easy. So I think in the future, smaller, thinner, not like apple type obsession with thinness, but it does matter like the, the size and weight. And we would love to have more context because that will help, but to make it work, I think it really needs to have good power consumption, good battery life. And, you know, like with the humane swapping the batteries, I have one, I mean, I'm, I'm, I think we've made, and there's like pretty incredible, some of the engineering they did, but like, it wasn't kind of geared towards solving the problem. It was just, it's too heavy. The swappable batteries is too much to man, like the heat, the thermals is like too much to light interface thing. Yeah. Like that. That's cool. It's cool. It's cool. But it's like, if, if you have your handout here, you want to use your phone, like it's not really solving a problem. Cause you know how to use your phone. It's got a brilliant display. You have to kind of learn how to gesture this low range. Yeah. It's like a resolution laser, but the laser is cool that the fact they got it working in that thing, even though if it did overheat, but like too heavy, too cumbersome, too complicated with the multiple batteries. So something that's power efficient, kind of thin, both in the physical sense and also in the edge compute kind of way so that it can be as unobtrusive as possible. Yeah.Maria [00:44:47]: Users really like, like, I like when they say yes, I like to wear it and forget about it because I don't need to charge it every single day. On the other version, I believe we had like 35 hours or something, which was okay. But people, they just prefer the seven days battery life and-swyx [00:45:03]: Oh, this is seven days? Yeah. Oh, I've been charging every three days.Maria [00:45:07]: Oh, no, you can like keep it like, yeah, it's like almost seven days.swyx [00:45:11]: The other thing that occurs to me, maybe there's an Apple watch strap so that I don't have to double watch. Yeah.Maria [00:45:17]: That's the other one that, yeah, I thought about it. I saw as well the ones that like, you can like put it like back on the phone. Like, you know- Plog. There is a lot.swyx [00:45:27]: So yeah, there's a competitor called Plog. Yeah. It's not really a competitor. They only transcribe, right? Yeah, they only transcribe. But they're very good at it. Yeah.Ethan [00:45:33]: No, they're great. Their hardware is really good too.swyx [00:45:36]: And they just launched the pin too. Yeah.Ethan [00:45:38]: I think that the MagSafe kind of form factor has a lot of advantages, but some disadvantages. You can definitely put a very huge battery on that, you know? And so like the battery life's not, the power consumption's not so much of a concern, but you know, downside the phone's like in your pocket. And so I think that, you know, form factors will continue to evolve, but, and you know, more sensors, less obtrusive and-Maria [00:46:02]: Yeah. We have a new version.Ethan [00:46:04]: Easier to use.Maria [00:46:05]: Okay.swyx [00:46:05]: Looking forward to that. Yeah. I mean, we'll, whenever we launch this, we'll try to show whatever, but I'm sure you're going to keep iterating. Last thing on hardware, and then we'll go on to the software side, because I think that's where you guys are also really, really strong. Vision. You wanted to talk about why no vision? Yeah.Ethan [00:46:20]: I think it comes down to like when you're, when you're a startup, especially in hardware, you're just, you work within the constraints, right? And so like vision is super useful and super interesting. And what we actually started with, there's two issues with vision that make it like not the place we decided to start. One is power consumption. So you know, you kind of have to trade off your power budget, like capturing even at a low frame rate and transmitting the radio is actually the thing that takes up the majority of the power. So. Yeah. So you would really have to have quite a, like unacceptably, like large and heavy battery to do it continuously all day. We have, I think, novel kind of alternative ways that might allow us to do that. And we have some prototypes. The other issue is form factor. So like even with like a wide field of view, if you're wearing something on your chest, it's going, you know, obviously the wrist is not really that much of an option. And if you're wearing it on your chest, it's, it's often gone. You're going to probably be not capturing like the field of view of what's interesting to you. So that leaves you kind of with your head and face. And then anything that goes on, on the face has to look cool. Like I don't know if you remember the spectacles, it was kind of like the first, yeah, but they kind of, they didn't, they were not very successful. And I think one of the reasons is they were, they're so weird looking. Yeah. The camera was so big on the side. And if you look at them at array bands where they're way more successful, they, they look almost indistinguishable from array bands. And they invested a lot into that and they, they have a partnership with Qualcomm to develop custom Silicon. They have a stake in Luxottica now. So like they coming from all the angles, like to make glasses, I think like, you know, I don't know if you know, Brilliant Labs, they're cool company, they make frames, which is kind of like a cool hackable glasses and, and, and like, they're really good, like on hardware, they're really good. But even if you look at the frames, which I would say is like the most advanced kind of startup. Yeah. Yeah. Yeah. There was one that launched at CES, but it's not shipping yet. Like one that you can buy now, it's still not something you'd wear every day and the battery life is super short. So I think just the challenge of doing vision right, like off the bat, like would require quite a bit more resources. And so like audio is such a good entry point and it's also the privacy around audio. If you, if you had images, that's like another huge challenge to overcome. So I think that. Ideally the personal AI would have, you know, all the senses and you know, we'll, we'll get there. Yeah. Okay.swyx [00:48:57]: One last hardware thing. I have to ask this because then we'll move to the software. Were either of you electrical engineering?Ethan [00:49:04]: No, I'm CES. And so I have a, I've taken some EE courses, but I, I had done prior to working on, on the hardware here, like I had done a little bit of like embedded systems, like very little firmware, but we have luckily on the team, somebody with deep experience. Yeah.swyx [00:49:21]: I'm just like, you know, like you have to become hardware people. Yeah.Ethan [00:49:25]: Yeah. I mean, I learned to worry about supply chain power. I think this is like radio.Maria [00:49:30]: There's so many things to learn.Ethan [00:49:32]: I would tell this about hardware, like, and I know it's been said before, but building a prototype and like learning how the electronics work and learning about firmware and developing, this is like, I think fun for a lot of engineers and it's, it's all totally like achievable, especially now, like with, with the tools we have, like stuff you might've been intimidated about. Like, how do I like write this firmware now? With Sonnet, like you can, you can get going and actually see results quickly. But I think going from prototype to actually making something manufactured is a enormous jump. And it's not all about technology, the supply chain, the procurement, the regulations, the cost, the tooling. The thing about software that I'm used to is it's funny that you can make changes all along the way and ship it. But like when you have to buy tooling for an enclosure that's expensive.swyx [00:50:24]: Do you buy your own tooling? You have to.Ethan [00:50:25]: Don't you just subcontract out to someone in China? Oh, no. Do we make the tooling? No, no. You have to have CNC and like a bunch of machines.Maria [00:50:31]: Like nobody makes their own tooling, but like you have to design this design and you submitEthan [00:50:36]: it and then they go four to six weeks later. Yeah. And then if there's a problem with it, well, then you're not, you're not making any, any of your enclosures. And so you have to really plan ahead. And like.swyx [00:50:48]: I just want to leave tips for other hardware founders. Like what resources or websites are most helpful in your sort of manufacturing journey?Ethan [00:50:55]: You know, I think it's different depending on like it's hardware so specialized in different ways.Maria [00:51:00]: I will say that, for example, I should choose a manufacturer company. I speak with other founders and like we can give you like some, you know, some tips of who is good and who is not, or like who's specialized in something versus somebody else. Yeah.Ethan [00:51:15]: Like some people are good in plastics. Some people are good.Maria [00:51:18]: I think like for us, it really helped at the beginning to speak with others and understand. Okay. Like who is around. I work in Shenzhen. I lived almost two years in China. I have an idea about like different hardware manufacturer and all of that. Soon I will go back to Shenzhen to check out. So I think it's good also to go in place and check.Ethan [00:51:40]: Yeah, you have to like once you, if you, so we did some stuff domestically and like if you have that ability. The reason I say ability is very expensive, but like to build out some proof of concepts and do field testing before you take it to a manufacturer, despite what people say, there's really good domestic manufacturing for small quantities at extremely high prices. So we got our first PCB and the assembly done in LA. So there's a lot of good because of the defense industry that can do quick churn. So it's like, we need this board. We need to find out if it's working. We have this deadline we want to start, but you need to go through this. And like if you want to have it done and fabricated in a week, they can do it for a price. But I think, you know, everybody's kind of trending even for prototyping now moving that offshore because in China you can do prototyping and get it within almost the same timeline. But the thing is with manufacturing, like it really helps to go there and kind of establish the relationship. Yeah.Alessio [00:52:38]: My first company was a hardware company and we did our PCBs in China and took a long time. Now things are better. But this was, yeah, I don't know, 10 years ago, something like that. Yeah.Ethan [00:52:47]: I think that like the, and I've heard this too, we didn't run into this problem, but like, you know, if it's something where you don't have the relationship, they don't see you, they don't know you, you know, you might get subcontracted out or like they're not paying attention. But like if you're, you know, you have the relationship and a priority, like, yeah, it's really good. We ended up doing the fabrication assembly in Taiwan for various reasons.Maria [00:53:11]: And I think it really helped the fact that you went there at some point. Yeah.Ethan [00:53:15]: We're really happy with the process and, but I mean the whole process of just Choosing the right people. Choosing the right people, but also just sourcing the bill materials and all of that stuff. Like, I guess like if you have time, it's not that bad, but if you're trying to like really push the speed at that, it's incredibly stressful. Okay. We got to move to the software. Yeah.Alessio [00:53:38]: Yeah. So the hardware, maybe it's hard for people to understand, but what software people can understand is that running. Transcription and summarization, all of these things in real time every day for 24 hours a day. It's not easy. So you mentioned 200,000 tokens for a day. Yeah. How do you make it basically free to run all of this for the consumer?Ethan [00:53:59]: Well, I think that the pipeline and the inference, like people think about all of these tokens, but as you know, the price of tokens is like dramatically dropping. You guys probably have some charts somewhere that you've posted. We do. And like, if you see that trend in like 250,000 input tokens, it's not really that much, right? Like the output.swyx [00:54:21]: You do several layers. You do live. Yeah.Ethan [00:54:23]: Yeah. So the speech to text is like the most challenging part actually, because you know, it requires like real time processing and then like later processing with a larger model. And one thing that is fairly obvious is that like, you don't need to transcribe things that don't have any voice in it. Right? So good voice activity is key, right? Because like the majority of most people's day is not spent with voice activity. Right? So that is the first step to cutting down the amount of compute you have to do. And voice activity is a fairly cheap thing to do. Very, very cheap thing to do. The models that need to summarize, you don't need a Sonnet level kind of model to summarize. You do need a Sonnet level model to like execute things like the agent. And we will be having a subscription for like features like that because it's, you know, although now with the R1, like we'll see, we haven't evaluated it. A deep seek? Yeah. I mean, not that one in particular, but like, you know, they're already there that can kind of perform at that level. I was like, it's going to stay in six months, but like, yeah. So self-hosted models help in the things where you can. So you are self-hosting models. Yes. You are fine tuning your own ASR. Yes. I will say that I see in the future that everything's trending down. Although like, I think there might be an intermediary step with things to become expensive, which is like, we're really interested because like the pipeline is very tedious and like a lot of tuning. Right. Which is brutal because it's just a lot of trial and error. Whereas like, well, wouldn't it be nice if an end to end model could just do all of this and learn it? If we could do transcription with like an LLM, there's so many advantages to that, but it's going to be a larger model and hence like more compute, you know, we're optim

Follow-up #687: DeepSeek DeepSeek lokaal draaien op een Raspberry Pi met een instap Nvidia-kaart Cold Fusion over DeepSeek Niemand is heilig: Meta’s LLM komt ook niet zo fris aan z’n data VAE en Frankrijk gaan 50 miljard investeren in Europese AI datacenters Kabeltjesknipfest: deze keer een Russische kabel beschadigd Onderwerpen Don’t be evil: Google vindt AI + wapens en surveillance toch een goed idee Bright artikel China vindt het ook een topidee en zet ook wapens op robothonden Johnny Harris over AI oorlogsvoering Project Moohan: Meta gaat concurentie krijgen van Android XR. MKBHD had hem op De iPhone wordt 18 jaar: Hot Tub, eerste porno-app voor iOS Gevaarlijke ruimtesteen die in 2032 mogelijk gaat inslaan: 2024 YR4 De opkomst en neergang van de slappe bak: Senseo bestaat 25 jaar Home Assistant update 2025.02: Smart Home Junkie vat samen Tips Ruurd: Heavy spoilers over Alien | Alien: Rogue Incursion komt naar Quest 3 | Dansplaat Tim: Developer creates endless Wikipedia feed to fight algorithm addiction

Marty, Eric, and Daniel, introduce some new apps and chat about Apple dropping its tethered glasses, and a look back at the one year anniversary of the AVP . Apple and Sony Still Working to Bring VR Gaming Controller Support to Vision Pro https://www.macrumors.com/2025/02/03/apple-to-bring-controller-support-to-vision-pro/ Report: Apple on track to debut PlayStation VR controllers on Vision Pro later this year https://9to5mac.com/2025/02/02/apple-vision-pro-playstation-vr-controllers-report/  = = = = = = = = = = = = = =  The Apple Vision Pro feature that could change how you work https://9to5mac.com/2025/02/02/the-apple-vision-pro-feature-that-could-change-how-you-work/ = = = = = = = = = = = = = Apple Vision Pro anniversary: one year later, one less excuse https://9to5mac.com/2025/02/02/apple-vision-pro-anniversary-one-year-later-one-less-excuse/ Celebrating and questioning the Apple Vision Pro after one year, on the Applelnsider Podcast https://appleinsider.com/articles/25/01/31/celebrating-and-questioning-the-apple-vision-pro-after-one-year-on-the-appleinsider-podcast  Apple Vision Pro review one year later: time to exit the preview https://appleinsider.com/articles/25/01/29/apple-vision-pro-review-one-year-later-time-to-exit-the-preview = = = = = = = = = = Why Apple Vision Pro's $3,500 price is actually a selling point https://9to5mac.com/2025/02/01/why-apple-vision-pros-3500-price-is-actually-a-selling-point/ Vision Pro keeps making the health care cut for surgery and other uses https://www.cultofmac.com/news/vision-pro-for-surgery-and-other-medical-uses  300 doctors attended a summit on Apple Vision Pro's applications in surgery https://appleinsider.com/articles/25/01/31/300-doctors-attended-a-summit-on-apple-vision-pros-applications-in-surgery  = = = = = = = = = = = Apple reportedly shelved a Mac-connected AR glasses project https://www.engadget.com/ar-vr/apple-reportedly-shelved-a-mac-connected-ar-glasses-project-160921712.html?src=rss  Apple reportedly ends its Mac-connected Augmented Reality glasses project https://www.macworld.com/article/2595376/apple-reportedly-ends-its-mac-connected-augmented-reality-glasses-project.html Apple shutters work on Mac-connected Augmented Reality smartglasses https://macdailynews.com/2025/01/31/apple-shutters-work-on-mac-connected-augmented-reality-smartglasses/ Apple reported to have killed the project to create Mac-connected AR glasses https://appleinsider.com/articles/25/01/31/apple-reported-to-have-killed-the-project-to-create-mac-connected-ar-glasses Apple Cancels Mac-Connected AR Smart Glasses https://www.macrumors.com/2025/01/31/apple-cancels-mac-connected-ar-glasses/  Apple gives up on device-connected smart glasses project, here's how it would have workedhttps://9to5mac.com/2025/01/31/apple-gives-up-on-device-connected-smart-glasses-project-heres-how-it-would-have-worked/  = = = = = = = = = = = = = =  Vision Pro now offers 2,000+ games via NVIDIA GeForce NOW support https://9to5mac.com/2025/01/29/vision-pro-now-offers-2000-games-via-nvidia-geforce-now-support/ = = = = = = = = = = = = = = MKBHD hands-on with Project Moohan, a prototype of Samsung's Vision Pro competitor https://9to5mac.com/2025/01/28/mkbhd-hands-on-with-project-moohan-a-prototype-of-samsungs-vision-pro-competitor/ CES 2025: The 8 most advanced smart glasses we tried - and were impressed by https://www.zdnet.com/article/ces-2025-the-8-most-advanced-smart-glasses-we-tried-and-were-impressed-by/  NEW APPS WORTH MENTIONING APPLE ARCADE - puzzle - MASTERPIECED pick an artist, then select a picture and move pieces https://apps.apple.com/us/story/id1729688804  Desktop canvas - write on the table https://apps.apple.com/us/app/touchdesk-desktop-canvas/id6740164313  ReminderFollow the live stream at YouTube.com/@VisionProfiles on Monday nights at 9 PM EST or catch the video later on Youtube or audio on any pod catcher service ThePodTalk.Net

Soutenez-nous sur patreon.com/iweek !Voici l'épisode 216 d'iWeek (la semaine Apple), le podcast.Samsung accélère, Apple temporise: Projet Moohan et Galaxy AI, Apple pourra-t-elle rattraper son retard ?Enregistré le mardi 28 janvier 2025 à 17h30, enregistrement accessible en direct sur X, YouTube, Twitch et LinkedIn Live.Présentation : Benjamin Vincent avec la participation de Fabrice Neuman (consultant tech pour les petites entreprises, contributeur à "Comment ça marche" et co-présentateur du podcast "Les Voix de la Tech") et Gilles Dounés (ex-rédacteur en chef de MacPlus et co-auteur de “iPod backstage“).Avec Mathieu Dos Santos, présentateur de XR360 tous les lundis et l'un des meilleurs spécialistes des systèmes de réalité virtuelle, mixte et augmentée.Au sommaire de cet épisode 216 : Son nom ? Le projet Moohan… Ce casque de réalité mixte n'est pas signé Apple mais… Samsung. Le Coréen l'a teasé pendant sa keynote de lancement des Galaxy S25, en évoquant une sortie avant la fin de l'année et le YouTubeur américain MKBHD a pu le tester pendant 2 heures… Alors, quelles sont ses caractéristiques ? À quoi ressemble l'interface d'Android XR ? Et résout-il une partie des défauts du Vision Pro, et à quel prix ? Les réponses à suivre avec Mathieu Dos Santos.Le retard d'Apple avec l'IA maison baptisée Apple Intelligence n'est plus une simple idée : elle se concrétise désormais avec ces Galaxy S25 qui sortiront le 7 février, à des prix inférieurs aux différents iPhone 16… Galaxy AI réussit brillamment là où Apple n'est même pas assurée de nous emmener : au coeur des OS, sans mode d'emploi, en posant des questions au S25… Pression maximum sur Cupertino avant l'arrivée du nouvel iPhone SE ou 16E, dans quelques semaines, et des iPhone 17 en septembre…Faites chauffer la fibre ! Les mises à jour 18.3 d'iOS, iPadOS, tvOS, HomePod, et 15.3 de macOS sont arrivées. On va vous expliquer ce qu'elles apportent de nouveau…Le nouveau Patreon d'iWeek se profile… une évolution que nous attendions depuis deux ans… qui va vous permettre - enfin - de gagner notre célèbre mug iWeek… Dans un mois, il va y avoir du changement : je vais tout vous expliquer… et vous saurez à quelle date la bascule aura lieu…Et puis, le bonus hebdo exclusif, pour nos soutiens Patreon. Cette semaine, Apple a enfin officiellement expliqué comment mettre à jour des AirPods… alors, grande révélation ? On en discute pour nos soutiens Patreon, juste après le générique de fin. Pour en profiter, rendez-vous sur patreon.com/iweek !Et à mardi prochain, 4 février 2025, pour l'épisode 217, dont l'enregistrement sera à suivre en direct à partir de 17h30 sur sur X, YouTube, Twitch et LinkedIn Live !Chapitres(00:00:00) Pré-Générique(00:02:16) Introduction(00:05:04) Retour sur… l'iPhone SE4 ou plutôt 16E… quoique…(00:13:37) L'événement de la semaine : Le masque de réalité mixte et la Galaxy AI de Samsung(00:39:52) Espoir de progrès de Siri pour iOS 18.4 prévu pour avril(00:43:04) Apple Intelligence activée par défaut dans les mises à jour iOS 18.3, iPadOS 18.3 et macOS 15.3(00:50:45) Communauté Patreon : on passe au mensuel le 3 mars prochain. Tous les détails.(01:07:32) Nos coups de cœur et cartons de la semaineHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Due to overwhelming demand (>15x applications:slots), we are closing CFPs for AI Engineer Summit NYC today. Last call! Thanks, we'll be reaching out to all shortly!The world's top AI blogger and friend of every pod, Simon Willison, dropped a monster 2024 recap: Things we learned about LLMs in 2024. Brian of the excellent TechMeme Ride Home pinged us for a connection and a special crossover episode, our first in 2025. The target audience for this podcast is a tech-literate, but non-technical one. You can see Simon's notes for AI Engineers in his World's Fair Keynote.Timestamp* 00:00 Introduction and Guest Welcome* 01:06 State of AI in 2025* 01:43 Advancements in AI Models* 03:59 Cost Efficiency in AI* 06:16 Challenges and Competition in AI* 17:15 AI Agents and Their Limitations* 26:12 Multimodal AI and Future Prospects* 35:29 Exploring Video Avatar Companies* 36:24 AI Influencers and Their Future* 37:12 Simplifying Content Creation with AI* 38:30 The Importance of Credibility in AI* 41:36 The Future of LLM User Interfaces* 48:58 Local LLMs: A Growing Interest* 01:07:22 AI Wearables: The Next Big Thing* 01:10:16 Wrapping Up and Final ThoughtsTranscript[00:00:00] Introduction and Guest Welcome[00:00:00] Brian: Welcome to the first bonus episode of the Tech Meme Write Home for the year 2025. I'm your host as always, Brian McCullough. Listeners to the pod over the last year know that I have made a habit of quoting from Simon Willison when new stuff happens in AI from his blog. Simon has been, become a go to for many folks in terms of, you know, Analyzing things, criticizing things in the AI space.[00:00:33] Brian: I've wanted to talk to you for a long time, Simon. So thank you for coming on the show. No, it's a privilege to be here. And the person that made this connection happen is our friend Swyx, who has been on the show back, even going back to the, the Twitter Spaces days but also an AI guru in, in their own right Swyx, thanks for coming on the show also.[00:00:54] swyx (2): Thanks. I'm happy to be on and have been a regular listener, so just happy to [00:01:00] contribute as well.[00:01:00] Brian: And a good friend of the pod, as they say. Alright, let's go right into it.[00:01:06] State of AI in 2025[00:01:06] Brian: Simon, I'm going to do the most unfair, broad question first, so let's get it out of the way. The year 2025. Broadly, what is the state of AI as we begin this year?[00:01:20] Brian: Whatever you want to say, I don't want to lead the witness.[00:01:22] Simon: Wow. So many things, right? I mean, the big thing is everything's got really good and fast and cheap. Like, that was the trend throughout all of 2024. The good models got so much cheaper, they got so much faster, they got multimodal, right? The image stuff isn't even a surprise anymore.[00:01:39] Simon: They're growing video, all of that kind of stuff. So that's all really exciting.[00:01:43] Advancements in AI Models[00:01:43] Simon: At the same time, they didn't get massively better than GPT 4, which was a bit of a surprise. So that's sort of one of the open questions is, are we going to see huge, but I kind of feel like that's a bit of a distraction because GPT 4, but way cheaper, much larger context lengths, and it [00:02:00] can do multimodal.[00:02:01] Simon: is better, right? That's a better model, even if it's not.[00:02:05] Brian: What people were expecting or hoping, maybe not expecting is not the right word, but hoping that we would see another step change, right? Right. From like GPT 2 to 3 to 4, we were expecting or hoping that maybe we were going to see the next evolution in that sort of, yeah.[00:02:21] Brian: We[00:02:21] Simon: did see that, but not in the way we expected. We thought the model was just going to get smarter, and instead we got. Massive drops in, drops in price. We got all of these new capabilities. You can talk to the things now, right? They can do simulated audio input, all of that kind of stuff. And so it's kind of, it's interesting to me that the models improved in all of these ways we weren't necessarily expecting.[00:02:43] Simon: I didn't know it would be able to do an impersonation of Santa Claus, like a, you know, Talked to it through my phone and show it what I was seeing by the end of 2024. But yeah, we didn't get that GPT 5 step. And that's one of the big open questions is, is that actually just around the corner and we'll have a bunch of GPT 5 class models drop in the [00:03:00] next few months?[00:03:00] Simon: Or is there a limit?[00:03:03] Brian: If you were a betting man and wanted to put money on it, do you expect to see a phase change, step change in 2025?[00:03:11] Simon: I don't particularly for that, like, the models, but smarter. I think all of the trends we're seeing right now are going to keep on going, especially the inference time compute, right?[00:03:21] Simon: The trick that O1 and O3 are doing, which means that you can solve harder problems, but they cost more and it churns away for longer. I think that's going to happen because that's already proven to work. I don't know. I don't know. Maybe there will be a step change to a GPT 5 level, but honestly, I'd be completely happy if we got what we've got right now.[00:03:41] Simon: But cheaper and faster and more capabilities and longer contexts and so forth. That would be thrilling to me.[00:03:46] Brian: Digging into what you've just said one of the things that, by the way, I hope to link in the show notes to Simon's year end post about what, what things we learned about LLMs in 2024. Look for that in the show notes.[00:03:59] Cost Efficiency in AI[00:03:59] Brian: One of the things that you [00:04:00] did say that you alluded to even right there was that in the last year, you felt like the GPT 4 barrier was broken, like IE. Other models, even open source ones are now regularly matching sort of the state of the art.[00:04:13] Simon: Well, it's interesting, right? So the GPT 4 barrier was a year ago, the best available model was OpenAI's GPT 4 and nobody else had even come close to it.[00:04:22] Simon: And they'd been at the, in the lead for like nine months, right? That thing came out in what, February, March of, of 2023. And for the rest of 2023, nobody else came close. And so at the start of last year, like a year ago, the big question was, Why has nobody beaten them yet? Like, what do they know that the rest of the industry doesn't know?[00:04:40] Simon: And today, that I've counted 18 organizations other than GPT 4 who've put out a model which clearly beats that GPT 4 from a year ago thing. Like, maybe they're not better than GPT 4. 0, but that's, that, that, that barrier got completely smashed. And yeah, a few of those I've run on my laptop, which is wild to me.[00:04:59] Simon: Like, [00:05:00] it was very, very wild. It felt very clear to me a year ago that if you want GPT 4, you need a rack of 40, 000 GPUs just to run the thing. And that turned out not to be true. Like the, the, this is that big trend from last year of the models getting more efficient, cheaper to run, just as capable with smaller weights and so forth.[00:05:20] Simon: And I ran another GPT 4 model on my laptop this morning, right? Microsoft 5. 4 just came out. And that, if you look at the benchmarks, it's definitely, it's up there with GPT 4. 0. It's probably not as good when you actually get into the vibes of the thing, but it, it runs on my, it's a 14 gigabyte download and I can run it on a MacBook Pro.[00:05:38] Simon: Like who saw that coming? The most exciting, like the close of the year on Christmas day, just a few weeks ago, was when DeepSeek dropped their DeepSeek v3 model on Hugging Face without even a readme file. It was just like a giant binary blob that I can't run on my laptop. It's too big. But in all of the benchmarks, it's now by far the best available [00:06:00] open, open weights model.[00:06:01] Simon: Like it's, it's, it's beating the, the metalamas and so forth. And that was trained for five and a half million dollars, which is a tenth of the price that people thought it costs to train these things. So everything's trending smaller and faster and more efficient.[00:06:15] Brian: Well, okay.[00:06:16] Challenges and Competition in AI[00:06:16] Brian: I, I kind of was going to get to that later, but let's, let's combine this with what I was going to ask you next, which is, you know, you're talking, you know, Also in the piece about the LLM prices crashing, which I've even seen in projects that I'm working on, but explain Explain that to a general audience, because we hear all the time that LLMs are eye wateringly expensive to run, but what we're suggesting, and we'll come back to the cheap Chinese LLM, but first of all, for the end user, what you're suggesting is that we're starting to see the cost come down sort of in the traditional technology way of Of costs coming down over time,[00:06:49] Simon: yes, but very aggressively.[00:06:51] Simon: I mean, my favorite thing, the example here is if you look at GPT-3, so open AI's g, PT three, which was the best, a developed model in [00:07:00] 2022 and through most of 20 2023. That, the models that we have today, the OpenAI models are a hundred times cheaper. So there was a 100x drop in price for OpenAI from their best available model, like two and a half years ago to today.[00:07:13] Simon: And[00:07:14] Brian: just to be clear, not to train the model, but for the use of tokens and things. Exactly,[00:07:20] Simon: for running prompts through them. And then When you look at the, the really, the top tier model providers right now, I think, are OpenAI, Anthropic, Google, and Meta. And there are a bunch of others that I could list there as well.[00:07:32] Simon: Mistral are very good. The, the DeepSeq and Quen models have got great. There's a whole bunch of providers serving really good models. But even if you just look at the sort of big brand name providers, they all offer models now that are A fraction of the price of the, the, of the models we were using last year.[00:07:49] Simon: I think I've got some numbers that I threw into my blog entry here. Yeah. Like Gemini 1. 5 flash, that's Google's fast high quality model is [00:08:00] how much is that? It's 0. 075 dollars per million tokens. Like these numbers are getting, So we just do cents per million now,[00:08:09] swyx (2): cents per million,[00:08:10] Simon: cents per million makes, makes a lot more sense.[00:08:12] Simon: Yeah they have one model 1. 5 flash 8B, the absolute cheapest of the Google models, is 27 times cheaper than GPT 3. 5 turbo was a year ago. That's it. And GPT 3. 5 turbo, that was the cheap model, right? Now we've got something 27 times cheaper, and the Google, this Google one can do image recognition, it can do million token context, all of those tricks.[00:08:36] Simon: But it's, it's, it's very, it's, it really is startling how inexpensive some of this stuff has got.[00:08:41] Brian: Now, are we assuming that this, that happening is directly the result of competition? Because again, you know, OpenAI, and probably they're doing this for their own almost political reasons, strategic reasons, keeps saying, we're losing money on everything, even the 200.[00:08:56] Brian: So they probably wouldn't, the prices wouldn't be [00:09:00] coming down if there wasn't intense competition in this space.[00:09:04] Simon: The competition is absolutely part of it, but I have it on good authority from sources I trust that Google Gemini is not operating at a loss. Like, the amount of electricity to run a prompt is less than they charge you.[00:09:16] Simon: And the same thing for Amazon Nova. Like, somebody found an Amazon executive and got them to say, Yeah, we're not losing money on this. I don't know about Anthropic and OpenAI, but clearly that demonstrates it is possible to run these things at these ludicrously low prices and still not be running at a loss if you discount the Army of PhDs and the, the training costs and all of that kind of stuff.[00:09:36] Brian: One, one more for me before I let Swyx jump in here. To, to come back to DeepSeek and this idea that you could train, you know, a cutting edge model for 6 million. I, I was saying on the show, like six months ago, that if we are getting to the point where each new model It would cost a billion, ten billion, a hundred billion to train that.[00:09:54] Brian: At some point it would almost, only nation states would be able to train the new models. Do you [00:10:00] expect what DeepSeek and maybe others are proving to sort of blow that up? Or is there like some sort of a parallel track here that maybe I'm not technically, I don't have the mouse to understand the difference.[00:10:11] Brian: Is the model, are the models going to go, you know, Up to a hundred billion dollars or can we get them down? Sort of like DeepSeek has proven[00:10:18] Simon: so I'm the wrong person to answer that because I don't work in the lab training these models. So I can give you my completely uninformed opinion, which is, I felt like the DeepSeek thing.[00:10:27] Simon: That was a bomb shell. That was an absolute bombshell when they came out and said, Hey, look, we've trained. One of the best available models and it cost us six, five and a half million dollars to do it. I feel, and they, the reason, one of the reasons it's so efficient is that we put all of these export controls in to stop Chinese companies from giant buying GPUs.[00:10:44] Simon: So they've, were forced to be, go as efficient as possible. And yet the fact that they've demonstrated that that's possible to do. I think it does completely tear apart this, this, this mental model we had before that yeah, the training runs just keep on getting more and more expensive and the number of [00:11:00] organizations that can afford to run these training runs keeps on shrinking.[00:11:03] Simon: That, that's been blown out of the water. So yeah, that's, again, this was our Christmas gift. This was the thing they dropped on Christmas day. Yeah, it makes me really optimistic that we can, there are, It feels like there was so much low hanging fruit in terms of the efficiency of both inference and training and we spent a whole bunch of last year exploring that and getting results from it.[00:11:22] Simon: I think there's probably a lot left. I think there's probably, well, I would not be surprised to see even better models trained spending even less money over the next six months.[00:11:31] swyx (2): Yeah. So I, I think there's a unspoken angle here on what exactly the Chinese labs are trying to do because DeepSea made a lot of noise.[00:11:41] swyx (2): so much for joining us for around the fact that they train their model for six million dollars and nobody quite quite believes them. Like it's very, very rare for a lab to trumpet the fact that they're doing it for so cheap. They're not trying to get anyone to buy them. So why [00:12:00] are they doing this? They make it very, very obvious.[00:12:05] swyx (2): Deepseek is about 150 employees. It's an order of magnitude smaller than at least Anthropic and maybe, maybe more so for OpenAI. And so what's, what's the end game here? Are they, are they just trying to show that the Chinese are better than us?[00:12:21] Simon: So Deepseek, it's the arm of a hedge, it's a, it's a quant fund, right?[00:12:25] Simon: It's an algorithmic quant trading thing. So I, I, I would love to get more insight into how that organization works. My assumption from what I've seen is it looks like they're basically just flexing. They're like, hey, look at how utterly brilliant we are with this amazing thing that we've done. And it's, it's working, right?[00:12:43] Simon: They but, and so is that it? Are they, is this just their kind of like, this is, this is why our company is so amazing. Look at this thing that we've done, or? I don't know. I'd, I'd love to get Some insight from, from within that industry as to, as to how that's all playing out.[00:12:57] swyx (2): The, the prevailing theory among the Local Llama [00:13:00] crew and the Twitter crew that I indexed for my newsletter is that there is some amount of copying going on.[00:13:06] swyx (2): It's like Sam Altman you know, tweet, tweeting about how they're being copied. And then also there's this, there, there are other sort of opening eye employees that have said, Stuff that is similar that DeepSeek's rate of progress is how U. S. intelligence estimates the number of foreign spies embedded in top labs.[00:13:22] swyx (2): Because a lot of these ideas do spread around, but they surprisingly have a very high density of them in the DeepSeek v3 technical report. So it's, it's interesting. We don't know how much, how many, how much tokens. I think that, you know, people have run analysis on how often DeepSeek thinks it is cloud or thinks it is opening GPC 4.[00:13:40] swyx (2): Thanks for watching! And we don't, we don't know. We don't know. I think for me, like, yeah, we'll, we'll, we basically will never know as, as external commentators. I think what's interesting is how, where does this go? Is there a logical floor or bottom by my estimations for the same amount of ELO started last year to the end of last year cost went down by a thousand X for the [00:14:00] GPT, for, for GPT 4 intelligence.[00:14:02] swyx (2): Would, do they go down a thousand X this year?[00:14:04] Simon: That's a fascinating question. Yeah.[00:14:06] swyx (2): Is there a Moore's law going on, or did we just get a one off benefit last year for some weird reason?[00:14:14] Simon: My uninformed hunch is low hanging fruit. I feel like up until a year ago, people haven't been focusing on efficiency at all. You know, it was all about, what can we get these weird shaped things to do?[00:14:24] Simon: And now once we've sort of hit that, okay, we know that we can get them to do what GPT 4 can do, When thousands of researchers around the world all focus on, okay, how do we make this more efficient? What are the most important, like, how do we strip out all of the weights that have stuff in that doesn't really matter?[00:14:39] Simon: All of that kind of thing. So yeah, maybe that was it. Maybe 2024 was a freak year of all of the low hanging fruit coming out at once. And we'll actually see a reduction in the, in that rate of improvement in terms of efficiency. I wonder, I mean, I think we'll know for sure in about three months time if that trend's going to continue or not.[00:14:58] swyx (2): I agree. You know, I [00:15:00] think the other thing that you mentioned that DeepSeq v3 was the gift that was given from DeepSeq over Christmas, but I feel like the other thing that might be underrated was DeepSeq R1,[00:15:11] Speaker 4: which is[00:15:13] swyx (2): a reasoning model you can run on your laptop. And I think that's something that a lot of people are looking ahead to this year.[00:15:18] swyx (2): Oh, did they[00:15:18] Simon: release the weights for that one?[00:15:20] swyx (2): Yeah.[00:15:21] Simon: Oh my goodness, I missed that. I've been playing with the quen. So the other great, the other big Chinese AI app is Alibaba's quen. Actually, yeah, I, sorry, R1 is an API available. Yeah. Exactly. When that's really cool. So Alibaba's Quen have released two reasoning models that I've run on my laptop.[00:15:38] Simon: Now there was, the first one was Q, Q, WQ. And then the second one was QVQ because the second one's a vision model. So you can like give it vision puzzles and a prompt that these things, they are so much fun to run. Because they think out loud. It's like the OpenAR 01 sort of hides its thinking process. The Query ones don't.[00:15:59] Simon: They just, they [00:16:00] just churn away. And so you'll give it a problem and it will output literally dozens of paragraphs of text about how it's thinking. My favorite thing that happened with QWQ is I asked it to draw me a pelican on a bicycle in SVG. That's like my standard stupid prompt. And for some reason it thought in Chinese.[00:16:18] Simon: It spat out a whole bunch of like Chinese text onto my terminal on my laptop, and then at the end it gave me quite a good sort of artistic pelican on a bicycle. And I ran it all through Google Translate, and yeah, it was like, it was contemplating the nature of SVG files as a starting point. And the fact that my laptop can think in Chinese now is so delightful.[00:16:40] Simon: It's so much fun watching you do that.[00:16:43] swyx (2): Yeah, I think Andrej Karpathy was saying, you know, we, we know that we have achieved proper reasoning inside of these models when they stop thinking in English, and perhaps the best form of thought is in Chinese. But yeah, for listeners who don't know Simon's blog he always, whenever a new model comes out, you, I don't know how you do it, but [00:17:00] you're always the first to run Pelican Bench on these models.[00:17:02] swyx (2): I just did it for 5.[00:17:05] Simon: Yeah.[00:17:07] swyx (2): So I really appreciate that. You should check it out. These are not theoretical. Simon's blog actually shows them.[00:17:12] Brian: Let me put on the investor hat for a second.[00:17:15] AI Agents and Their Limitations[00:17:15] Brian: Because from the investor side of things, a lot of the, the VCs that I know are really hot on agents, and this is the year of agents, but last year was supposed to be the year of agents as well. Lots of money flowing towards, And Gentic startups.[00:17:32] Brian: But in in your piece that again, we're hopefully going to have linked in the show notes, you sort of suggest there's a fundamental flaw in AI agents as they exist right now. Let me let me quote you. And then I'd love to dive into this. You said, I remain skeptical as to their ability based once again, on the Challenge of gullibility.[00:17:49] Brian: LLMs believe anything you tell them, any systems that attempt to make meaningful decisions on your behalf, will run into the same roadblock. How good is a travel agent, or a digital assistant, or even a research tool, if it [00:18:00] can't distinguish truth from fiction? So, essentially, what you're suggesting is that the state of the art now that allows agents is still, it's still that sort of 90 percent problem, the edge problem, getting to the Or, or, or is there a deeper flaw?[00:18:14] Brian: What are you, what are you saying there?[00:18:16] Simon: So this is the fundamental challenge here and honestly my frustration with agents is mainly around definitions Like any if you ask anyone who says they're working on agents to define agents You will get a subtly different definition from each person But everyone always assumes that their definition is the one true one that everyone else understands So I feel like a lot of these agent conversations, people talking past each other because one person's talking about the, the sort of travel agent idea of something that books things on your behalf.[00:18:41] Simon: Somebody else is talking about LLMs with tools running in a loop with a cron job somewhere and all of these different things. You, you ask academics and they'll laugh at you because they've been debating what agents mean for over 30 years at this point. It's like this, this long running, almost sort of an in joke in that community.[00:18:57] Simon: But if we assume that for this purpose of this conversation, an [00:19:00] agent is something that, Which you can give a job and it goes off and it does that thing for you like, like booking travel or things like that. The fundamental challenge is, it's the reliability thing, which comes from this gullibility problem.[00:19:12] Simon: And a lot of my, my interest in this originally came from when I was thinking about prompt injections as a source of this form of attack against LLM systems where you deliberately lay traps out there for this LLM to stumble across,[00:19:24] Brian: and which I should say you have been banging this drum that no one's gotten any far, at least on solving this, that I'm aware of, right.[00:19:31] Brian: Like that's still an open problem. The two years.[00:19:33] Simon: Yeah. Right. We've been talking about this problem and like, a great illustration of this was Claude so Anthropic released Claude computer use a few months ago. Fantastic demo. You could fire up a Docker container and you could literally tell it to do something and watch it open a web browser and navigate to a webpage and click around and so forth.[00:19:51] Simon: Really, really, really interesting and fun to play with. And then, um. One of the first demos somebody tried was, what if you give it a web page that says download and run this [00:20:00] executable, and it did, and the executable was malware that added it to a botnet. So the, the very first most obvious dumb trick that you could play on this thing just worked, right?[00:20:10] Simon: So that's obviously a really big problem. If I'm going to send something out to book travel on my behalf, I mean, it's hard enough for me to figure out which airlines are trying to scam me and which ones aren't. Do I really trust a language model that believes the literal truth of anything that's presented to it to go out and do those things?[00:20:29] swyx (2): Yeah I definitely think there's, it's interesting to see Anthropic doing this because they used to be the safety arm of OpenAI that split out and said, you know, we're worried about letting this thing out in the wild and here they are enabling computer use for agents. Thanks. The, it feels like things have merged.[00:20:49] swyx (2): You know, I'm, I'm also fairly skeptical about, you know, this always being the, the year of Linux on the desktop. And this is the equivalent of this being the year of agents that people [00:21:00] are not predicting so much as wishfully thinking and hoping and praying for their companies and agents to work.[00:21:05] swyx (2): But I, I feel like things are. Coming along a little bit. It's to me, it's kind of like self driving. I remember in 2014 saying that self driving was just around the corner. And I mean, it kind of is, you know, like in, in, in the Bay area. You[00:21:17] Simon: get in a Waymo and you're like, Oh, this works. Yeah, but it's a slow[00:21:21] swyx (2): cook.[00:21:21] swyx (2): It's a slow cook over the next 10 years. We're going to hammer out these things and the cynical people can just point to all the flaws, but like, there are measurable or concrete progress steps that are being made by these builders.[00:21:33] Simon: There is one form of agent that I believe in. I believe, mostly believe in the research assistant form of agents.[00:21:39] Simon: The thing where you've got a difficult problem and, and I've got like, I'm, I'm on the beta for the, the Google Gemini 1. 5 pro with deep research. I think it's called like these names, these names. Right. But. I've been using that. It's good, right? You can give it a difficult problem and it tells you, okay, I'm going to look at 56 different websites [00:22:00] and it goes away and it dumps everything to its context and it comes up with a report for you.[00:22:04] Simon: And it's not, it won't work against adversarial websites, right? If there are websites with deliberate lies in them, it might well get caught out. Most things don't have that as a problem. And so I've had some answers from that which were genuinely really valuable to me. And that feels to me like, I can see how given existing LLM tech, especially with Google Gemini with its like million token contacts and Google with their crawl of the entire web and their, they've got like search, they've got search and cache, they've got a cache of every page and so forth.[00:22:35] Simon: That makes sense to me. And that what they've got right now, I don't think it's, it's not as good as it can be, obviously, but it's, it's, it's, it's a real useful thing, which they're going to start rolling out. So, you know, Perplexity have been building the same thing for a couple of years. That, that I believe in.[00:22:50] Simon: You know, if you tell me that you're going to have an agent that's a research assistant agent, great. The coding agents I mean, chat gpt code interpreter, Nearly two years [00:23:00] ago, that thing started writing Python code, executing the code, getting errors, rewriting it to fix the errors. That pattern obviously works.[00:23:07] Simon: That works really, really well. So, yeah, coding agents that do that sort of error message loop thing, those are proven to work. And they're going to keep on getting better, and that's going to be great. The research assistant agents are just beginning to get there. The things I'm critical of are the ones where you trust, you trust this thing to go out and act autonomously on your behalf, and make decisions on your behalf, especially involving spending money, like that.[00:23:31] Simon: I don't see that working for a very long time. That feels to me like an AGI level problem.[00:23:37] swyx (2): It's it's funny because I think Stripe actually released an agent toolkit which is one of the, the things I featured that is trying to enable these agents each to have a wallet that they can go and spend and have, basically, it's a virtual card.[00:23:49] swyx (2): It's not that, not that difficult with modern infrastructure. can[00:23:51] Simon: stick a 50 cap on it, then at least it's an honor. Can't lose more than 50.[00:23:56] Brian: You know I don't, I don't know if either of you know Rafat Ali [00:24:00] he runs Skift, which is a, a travel news vertical. And he, he, he constantly laughs at the fact that every agent thing is, we're gonna get rid of booking a, a plane flight for you, you know?[00:24:11] Brian: And, and I would point out that, like, historically, when the web started, the first thing everyone talked about is, You can go online and book a trip, right? So it's funny for each generation of like technological advance. The thing they always want to kill is the travel agent. And now they want to kill the webpage travel agent.[00:24:29] Simon: Like it's like I use Google flight search. It's great, right? If you gave me an agent to do that for me, it would save me, I mean, maybe 15 seconds of typing in my things, but I still want to see what my options are and go, yeah, I'm not flying on that airline, no matter how cheap they are.[00:24:44] swyx (2): Yeah. For listeners, go ahead.[00:24:47] swyx (2): For listeners, I think, you know, I think both of you are pretty positive on NotebookLM. And you know, we, we actually interviewed the NotebookLM creators, and there are actually two internal agents going on internally. The reason it takes so long is because they're running an agent loop [00:25:00] inside that is fairly autonomous, which is kind of interesting.[00:25:01] swyx (2): For one,[00:25:02] Simon: for a definition of agent loop, if you picked that particularly well. For one definition. And you're talking about the podcast side of this, right?[00:25:07] swyx (2): Yeah, the podcast side of things. They have a there's, there's going to be a new version coming out that, that we'll be featuring at our, at our conference.[00:25:14] Simon: That one's fascinating to me. Like NotebookLM, I think it's two products, right? On the one hand, it's actually a very good rag product, right? You dump a bunch of things in, you can run searches, that, that, it does a good job of. And then, and then they added the, the podcast thing. It's a bit of a, it's a total gimmick, right?[00:25:30] Simon: But that gimmick got them attention, because they had a great product that nobody paid any attention to at all. And then you add the unfeasibly good voice synthesis of the podcast. Like, it's just, it's, it's, it's the lesson.[00:25:43] Brian: It's the lesson of mid journey and stuff like that. If you can create something that people can post on socials, you don't have to lift a finger again to do any marketing for what you're doing.[00:25:53] Brian: Let me dig into Notebook LLM just for a second as a podcaster. As a [00:26:00] gimmick, it makes sense, and then obviously, you know, you dig into it, it sort of has problems around the edges. It's like, it does the thing that all sort of LLMs kind of do, where it's like, oh, we want to Wrap up with a conclusion.[00:26:12] Multimodal AI and Future Prospects[00:26:12] Brian: I always call that like the the eighth grade book report paper problem where it has to have an intro and then, you know But that's sort of a thing where because I think you spoke about this again in your piece at the year end About how things are going multimodal and how things are that you didn't expect like, you know vision and especially audio I think So that's another thing where, at least over the last year, there's been progress made that maybe you, you didn't think was coming as quick as it came.[00:26:43] Simon: I don't know. I mean, a year ago, we had one really good vision model. We had GPT 4 vision, was, was, was very impressive. And Google Gemini had just dropped Gemini 1. 0, which had vision, but nobody had really played with it yet. Like Google hadn't. People weren't taking Gemini [00:27:00] seriously at that point. I feel like it was 1.[00:27:02] Simon: 5 Pro when it became apparent that actually they were, they, they got over their hump and they were building really good models. And yeah, and they, to be honest, the video models are mostly still using the same trick. The thing where you divide the video up into one image per second and you dump that all into the context.[00:27:16] Simon: So maybe it shouldn't have been so surprising to us that long context models plus vision meant that the video was, was starting to be solved. Of course, it didn't. Not being, you, what you really want with videos, you want to be able to do the audio and the images at the same time. And I think the models are beginning to do that now.[00:27:33] Simon: Like, originally, Gemini 1. 5 Pro originally ignored the audio. It just did the, the, like, one frame per second video trick. As far as I can tell, the most recent ones are actually doing pure multimodal. But the things that opens up are just extraordinary. Like, the the ChatGPT iPhone app feature that they shipped as one of their 12 days of, of OpenAI, I really can be having a conversation and just turn on my video camera and go, Hey, what kind of tree is [00:28:00] this?[00:28:00] Simon: And so forth. And it works. And for all I know, that's just snapping a like picture once a second and feeding it into the model. The, the, the things that you can do with that as an end user are extraordinary. Like that, that to me, I don't think most people have cottoned onto the fact that you can now stream video directly into a model because it, it's only a few weeks old.[00:28:22] Simon: Wow. That's a, that's a, that's a, that's Big boost in terms of what kinds of things you can do with this stuff. Yeah. For[00:28:30] swyx (2): people who are not that close I think Gemini Flashes free tier allows you to do something like capture a photo, one photo every second or a minute and leave it on 24, seven, and you can prompt it to do whatever.[00:28:45] swyx (2): And so you can effectively have your own camera app or monitoring app that that you just prompt and it detects where it changes. It detects for, you know, alerts or anything like that, or describes your day. You know, and, and, and the fact that this is free I think [00:29:00] it's also leads into the previous point of it being the prices haven't come down a lot.[00:29:05] Simon: And even if you're paying for this stuff, like a thing that I put in my blog entry is I ran a calculation on what it would cost to process 68, 000 photographs in my photo collection, and for each one just generate a caption, and using Gemini 1. 5 Flash 8B, it would cost me 1. 68 to process 68, 000 images, which is, I mean, that, that doesn't make sense.[00:29:28] Simon: None of that makes sense. Like it's, it's a, for one four hundredth of a cent per image to generate captions now. So you can see why feeding in a day's worth of video just isn't even very expensive to process.[00:29:40] swyx (2): Yeah, I'll tell you what is expensive. It's the other direction. So we're here, we're talking about consuming video.[00:29:46] swyx (2): And this year, we also had a lot of progress, like probably one of the most excited, excited, anticipated launches of the year was Sora. We actually got Sora. And less exciting.[00:29:55] Simon: We did, and then VO2, Google's Sora, came out like three [00:30:00] days later and upstaged it. Like, Sora was exciting until VO2 landed, which was just better.[00:30:05] swyx (2): In general, I feel the media, or the social media, has been very unfair to Sora. Because what was released to the world, generally available, was Sora Lite. It's the distilled version of Sora, right? So you're, I did not[00:30:16] Simon: realize that you're absolutely comparing[00:30:18] swyx (2): the, the most cherry picked version of VO two, the one that they published on the marketing page to the, the most embarrassing version of the soa.[00:30:25] swyx (2): So of course it's gonna look bad, so, well, I got[00:30:27] Simon: access to the VO two I'm in the VO two beta and I've been poking around with it and. Getting it to generate pelicans on bicycles and stuff. I would absolutely[00:30:34] swyx (2): believe that[00:30:35] Simon: VL2 is actually better. Is Sora, so is full fat Sora coming soon? Do you know, when, when do we get to play with that one?[00:30:42] Simon: No one's[00:30:43] swyx (2): mentioned anything. I think basically the strategy is let people play around with Sora Lite and get info there. But the, the, keep developing Sora with the Hollywood studios. That's what they actually care about. Gotcha. Like the rest of us. Don't really know what to do with the video anyway. Right.[00:30:59] Simon: I mean, [00:31:00] that's my thing is I realized that for generative images and images and video like images We've had for a few years and I don't feel like they've broken out into the talented artist community yet Like lots of people are having fun with them and doing and producing stuff. That's kind of cool to look at but what I want you know that that movie everything everywhere all at once, right?[00:31:20] Simon: One, one ton of Oscars, utterly amazing film. The VFX team for that were five people, some of whom were watching YouTube videos to figure out what to do. My big question for, for Sora and and and Midjourney and stuff, what happens when a creative team like that starts using these tools? I want the creative geniuses behind everything, everywhere all at once.[00:31:40] Simon: What are they going to be able to do with this stuff in like a few years time? Because that's really exciting to me. That's where you take artists who are at the very peak of their game. Give them these new capabilities and see, see what they can do with them.[00:31:52] swyx (2): I should, I know a little bit here. So it should mention that, that team actually used RunwayML.[00:31:57] swyx (2): So there was, there was,[00:31:57] Simon: yeah.[00:31:59] swyx (2): I don't know how [00:32:00] much I don't. So, you know, it's possible to overstate this, but there are people integrating it. Generated video within their workflow, even pre SORA. Right, because[00:32:09] Brian: it's not, it's not the thing where it's like, okay, tomorrow we'll be able to do a full two hour movie that you prompt with three sentences.[00:32:15] Brian: It is like, for the very first part of, of, you know video effects in film, it's like, if you can get that three second clip, if you can get that 20 second thing that they did in the matrix that blew everyone's minds and took a million dollars or whatever to do, like, it's the, it's the little bits and pieces that they can fill in now that it's probably already there.[00:32:34] swyx (2): Yeah, it's like, I think actually having a layered view of what assets people need and letting AI fill in the low value assets. Right, like the background video, the background music and, you know, sometimes the sound effects. That, that maybe, maybe more palatable maybe also changes the, the way that you evaluate the stuff that's coming out.[00:32:57] swyx (2): Because people tend to, in social media, try to [00:33:00] emphasize foreground stuff, main character stuff. So you really care about consistency, and you, you really are bothered when, like, for example, Sorad. Botch's image generation of a gymnast doing flips, which is horrible. It's horrible. But for background crowds, like, who cares?[00:33:18] Brian: And by the way, again, I was, I was a film major way, way back in the day, like, that's how it started. Like things like Braveheart, where they filmed 10 people on a field, and then the computer could turn it into 1000 people on a field. Like, that's always been the way it's around the margins and in the background that first comes in.[00:33:36] Brian: The[00:33:36] Simon: Lord of the Rings movies were over 20 years ago. Although they have those giant battle sequences, which were very early, like, I mean, you could almost call it a generative AI approach, right? They were using very sophisticated, like, algorithms to model out those different battles and all of that kind of stuff.[00:33:52] Simon: Yeah, I know very little. I know basically nothing about film production, so I try not to commentate on it. But I am fascinated to [00:34:00] see what happens when, when these tools start being used by the real, the people at the top of their game.[00:34:05] swyx (2): I would say like there's a cultural war that is more that being fought here than a technology war.[00:34:11] swyx (2): Most of the Hollywood people are against any form of AI anyway, so they're busy Fighting that battle instead of thinking about how to adopt it and it's, it's very fringe. I participated here in San Francisco, one generative AI video creative hackathon where the AI positive artists actually met with technologists like myself and then we collaborated together to build short films and that was really nice and I think, you know, I'll be hosting some of those in my events going forward.[00:34:38] swyx (2): One thing that I think like I want to leave it. Give people a sense of it's like this is a recap of last year But then sometimes it's useful to walk away as well with like what can we expect in the future? I don't know if you got anything. I would also call out that the Chinese models here have made a lot of progress Hyde Law and Kling and God knows who like who else in the video arena [00:35:00] Also making a lot of progress like surprising him like I think maybe actually Chinese China is surprisingly ahead with regards to Open8 at least, but also just like specific forms of video generation.[00:35:12] Simon: Wouldn't it be interesting if a film industry sprung up in a country that we don't normally think of having a really strong film industry that was using these tools? Like, that would be a fascinating sort of angle on this. Mm hmm. Mm hmm.[00:35:25] swyx (2): Agreed. I, I, I Oh, sorry. Go ahead.[00:35:29] Exploring Video Avatar Companies[00:35:29] swyx (2): Just for people's Just to put it on people's radar as well, Hey Jen, there's like there's a category of video avatar companies that don't specifically, don't specialize in general video.[00:35:41] swyx (2): They only do talking heads, let's just say. And HeyGen sings very well.[00:35:45] Brian: Swyx, you know that that's what I've been using, right? Like, have, have I, yeah, right. So, if you see some of my recent YouTube videos and things like that, where, because the beauty part of the HeyGen thing is, I, I, I don't want to use the robot voice, so [00:36:00] I record the mp3 file for my computer, And then I put that into HeyGen with the avatar that I've trained it on, and all it does is the lip sync.[00:36:09] Brian: So it looks, it's not 100 percent uncanny valley beatable, but it's good enough that if you weren't looking for it, it's just me sitting there doing one of my clips from the show. And, yeah, so, by the way, HeyGen. Shout out to them.[00:36:24] AI Influencers and Their Future[00:36:24] swyx (2): So I would, you know, in terms of like the look ahead going, like, looking, reviewing 2024, looking at trends for 2025, I would, they basically call this out.[00:36:33] swyx (2): Meta tried to introduce AI influencers and failed horribly because they were just bad at it. But at some point that there will be more and more basically AI influencers Not in a way that Simon is but in a way that they are not human.[00:36:50] Simon: Like the few of those that have done well, I always feel like they're doing well because it's a gimmick, right?[00:36:54] Simon: It's a it's it's novel and fun to like Like that, the AI Seinfeld thing [00:37:00] from last year, the Twitch stream, you know, like those, if you're the only one or one of just a few doing that, you'll get, you'll attract an audience because it's an interesting new thing. But I just, I don't know if that's going to be sustainable longer term or not.[00:37:11] Simon: Like,[00:37:12] Simplifying Content Creation with AI[00:37:12] Brian: I'm going to tell you, Because I've had discussions, I can't name the companies or whatever, but, so think about the workflow for this, like, now we all know that on TikTok and Instagram, like, holding up a phone to your face, and doing like, in my car video, or walking, a walk and talk, you know, that's, that's very common, but also, if you want to do a professional sort of talking head video, you still have to sit in front of a camera, you still have to do the lighting, you still have to do the video editing, versus, if you can just record, what I'm saying right now, the last 30 seconds, If you clip that out as an mp3 and you have a good enough avatar, then you can put that avatar in front of Times Square, on a beach, or whatever.[00:37:50] Brian: So, like, again for creators, the reason I think Simon, we're on the verge of something, it, it just, it's not going to, I think it's not, oh, we're going to have [00:38:00] AI avatars take over, it'll be one of those things where it takes another piece of the workflow out and simplifies it. I'm all[00:38:07] Simon: for that. I, I always love this stuff.[00:38:08] Simon: I like tools. Tools that help human beings do more. Do more ambitious things. I'm always in favor of, like, that, that, that's what excites me about this entire field.[00:38:17] swyx (2): Yeah. We're, we're looking into basically creating one for my podcast. We have this guy Charlie, he's Australian. He's, he's not real, but he pre, he opens every show and we are gonna have him present all the shorts.[00:38:29] Simon: Yeah, go ahead.[00:38:30] The Importance of Credibility in AI[00:38:30] Simon: The thing that I keep coming back to is this idea of credibility like in a world that is full of like AI generated everything and so forth It becomes even more important that people find the sources of information that they trust and find people and find Sources that are credible and I feel like that's the one thing that LLMs and AI can never have is credibility, right?[00:38:49] Simon: ChatGPT can never stake its reputation on telling you something useful and interesting because That means nothing, right? It's a matrix multiplication. It depends on who prompted it and so forth. So [00:39:00] I'm always, and this is when I'm blogging as well, I'm always looking for, okay, who are the reliable people who will tell me useful, interesting information who aren't just going to tell me whatever somebody's paying them to tell, tell them, who aren't going to, like, type a one sentence prompt into an LLM and spit out an essay and stick it online.[00:39:16] Simon: And that, that to me, Like, earning that credibility is really important. That's why a lot of my ethics around the way that I publish are based on the idea that I want people to trust me. I want to do things that, that gain credibility in people's eyes so they will come to me for information as a trustworthy source.[00:39:32] Simon: And it's the same for the sources that I'm, I'm consulting as well. So that's something I've, I've been thinking a lot about that sort of credibility focus on this thing for a while now.[00:39:40] swyx (2): Yeah, you can layer or structure credibility or decompose it like so one thing I would put in front of you I'm not saying that you should Agree with this or accept this at all is that you can use AI to generate different Variations and then and you pick you as the final sort of last mile person that you pick The last output and [00:40:00] you put your stamp of credibility behind that like that everything's human reviewed instead of human origin[00:40:04] Simon: Yeah, if you publish something you need to be able to put it on the ground Publishing it.[00:40:08] Simon: You need to say, I will put my name to this. I will attach my credibility to this thing. And if you're willing to do that, then, then that's great.[00:40:16] swyx (2): For creators, this is huge because there's a fundamental asymmetry between starting with a blank slate versus choosing from five different variations.[00:40:23] Brian: Right.[00:40:24] Brian: And also the key thing that you just said is like, if everything that I do, if all of the words were generated by an LLM, if the voice is generated by an LLM. If the video is also generated by the LLM, then I haven't done anything, right? But if, if one or two of those, you take a shortcut, but it's still, I'm willing to sign off on it.[00:40:47] Brian: Like, I feel like that's where I feel like people are coming around to like, this is maybe acceptable, sort of.[00:40:53] Simon: This is where I've been pushing the definition. I love the term slop. Where I've been pushing the definition of slop as AI generated [00:41:00] content that is both unrequested and unreviewed and the unreviewed thing is really important like that's the thing that elevates something from slop to not slop is if A human being has reviewed it and said, you know what, this is actually worth other people's time.[00:41:12] Simon: And again, I'm willing to attach my credibility to it and say, hey, this is worthwhile.[00:41:16] Brian: It's, it's, it's the cura curational, curatorial and editorial part of it that no matter what the tools are to do shortcuts, to do, as, as Swyx is saying choose between different edits or different cuts, but in the end, if there's a curatorial mind, Or editorial mind behind it.[00:41:32] Brian: Let me I want to wedge this in before we start to close.[00:41:36] The Future of LLM User Interfaces[00:41:36] Brian: One of the things coming back to your year end piece that has been a something that I've been banging the drum about is when you're talking about LLMs. Getting harder to use. You said most users are thrown in at the deep end.[00:41:48] Brian: The default LLM chat UI is like taking brand new computer users, dropping them into a Linux terminal and expecting them to figure it all out. I mean, it's, it's literally going back to the command line. The command line was defeated [00:42:00] by the GUI interface. And this is what I've been banging the drum about is like, this cannot be.[00:42:05] Brian: The user interface, what we have now cannot be the end result. Do you see any hints or seeds of a GUI moment for LLM interfaces?[00:42:17] Simon: I mean, it has to happen. It absolutely has to happen. The the, the, the, the usability of these things is turning into a bit of a crisis. And we are at least seeing some really interesting innovation in little directions.[00:42:28] Simon: Just like OpenAI's chat GPT canvas thing that they just launched. That is at least. Going a little bit more interesting than just chat, chats and responses. You know, you can, they're exploring that space where you're collaborating with an LLM. You're both working in the, on the same document. That makes a lot of sense to me.[00:42:44] Simon: Like that, that feels really smart. The one of the best things is still who was it who did the, the UI where you could, they had a drawing UI where you draw an interface and click a button. TL draw would then make it real thing. That was spectacular, [00:43:00] absolutely spectacular, like, alternative vision of how you'd interact with these models.[00:43:05] Simon: Because yeah, the and that's, you know, so I feel like there is so much scope for innovation there and it is beginning to happen. Like, like, I, I feel like most people do understand that we need to do better in terms of interfaces that both help explain what's going on and give people better tools for working with models.[00:43:23] Simon: I was going to say, I want to[00:43:25] Brian: dig a little deeper into this because think of the conceptual idea behind the GUI, which is instead of typing into a command line open word. exe, it's, you, you click an icon, right? So that's abstracting away sort of the, again, the programming stuff that like, you know, it's, it's a, a, a child can tap on an iPad and, and make a program open, right?[00:43:47] Brian: The problem it seems to me right now with how we're interacting with LLMs is it's sort of like you know a dumb robot where it's like you poke it and it goes over here, but no, I want it, I want to go over here so you poke it this way and you can't get it exactly [00:44:00] right, like, what can we abstract away from the From the current, what's going on that, that makes it more fine tuned and easier to get more precise.[00:44:12] Brian: You see what I'm saying?[00:44:13] Simon: Yes. And the this is the other trend that I've been following from the last year, which I think is super interesting. It's the, the prompt driven UI development thing. Basically, this is the pattern where Claude Artifacts was the first thing to do this really well. You type in a prompt and it goes, Oh, I should answer that by writing a custom HTML and JavaScript application for you that does a certain thing.[00:44:35] Simon: And when you think about that take and since then it turns out This is easy, right? Every decent LLM can produce HTML and JavaScript that does something useful. So we've actually got this alternative way of interacting where they can respond to your prompt with an interactive custom interface that you can work with.[00:44:54] Simon: People haven't quite wired those back up again. Like, ideally, I'd want the LLM ask me a [00:45:00] question where it builds me a custom little UI, For that question, and then it gets to see how I interacted with that. I don't know why, but that's like just such a small step from where we are right now. But that feels like such an obvious next step.[00:45:12] Simon: Like an LLM, why should it, why should you just be communicating with, with text when it can build interfaces on the fly that let you select a point on a map or or move like sliders up and down. It's gonna create knobs and dials. I keep saying knobs and dials. right. We can do that. And the LLMs can build, and Claude artifacts will build you a knobs and dials interface.[00:45:34] Simon: But at the moment they haven't closed the loop. When you twiddle those knobs, Claude doesn't see what you were doing. They're going to close that loop. I'm, I'm shocked that they haven't done it yet. So yeah, I think there's so much scope for innovation and there's so much scope for doing interesting stuff with that model where the LLM, anything you can represent in SVG, which is almost everything, can now be part of that ongoing conversation.[00:45:59] swyx (2): Yeah, [00:46:00] I would say the best executed version of this I've seen so far is Bolt where you can literally type in, make a Spotify clone, make an Airbnb clone, and it actually just does that for you zero shot with a nice design.[00:46:14] Simon: There's a benchmark for that now. The LMRena people now have a benchmark that is zero shot app, app generation, because all of the models can do it.[00:46:22] Simon: Like it's, it's, I've started figuring out. I'm building my own version of this for my own project, because I think within six months. I think it'll just be an expected feature. Like if you have a web application, why don't you have a thing where, oh, look, the, you can add a custom, like, so for my dataset data exploration project, I want you to be able to do things like conjure up a dashboard, just via a prompt.[00:46:43] Simon: You say, oh, I need a pie chart and a bar chart and put them next to each other, and then have a form where submitting the form inserts a row into my database table. And this is all suddenly feasible. It's, it's, it's not even particularly difficult to do, which is great. Utterly bizarre that these things are now easy.[00:47:00][00:47:00] swyx (2): I think for a general audience, that is what I would highlight, that software creation is becoming easier and easier. Gemini is now available in Gmail and Google Sheets. I don't write my own Google Sheets formulas anymore, I just tell Gemini to do it. And so I think those are, I almost wanted to basically somewhat disagree with, with your assertion that LMS got harder to use.[00:47:22] swyx (2): Like, yes, we, we expose more capabilities, but they're, they're in minor forms, like using canvas, like web search in, in in chat GPT and like Gemini being in, in Excel sheets or in Google sheets, like, yeah, we're getting, no,[00:47:37] Simon: no, no, no. Those are the things that make it harder, because the problem is that for each of those features, they're amazing.[00:47:43] Simon: If you understand the edges of the feature, if you're like, okay, so in Google, Gemini, Excel formulas, I can get it to do a certain amount of things, but I can't get it to go and read a web. You probably can't get it to read a webpage, right? But you know, there are, there are things that it can do and things that it can't do, which are completely undocumented.[00:47:58] Simon: If you ask it what it [00:48:00] can and can't do, they're terrible at answering questions about that. So like my favorite example is Claude artifacts. You can't build a Claude artifact that can hit an API somewhere else. Because the cause headers on that iframe prevents accessing anything outside of CDNJS. So, good luck learning cause headers as an end user in order to understand why Like, I've seen people saying, oh, this is rubbish.[00:48:26] Simon: I tried building an artifact that would run a prompt and it couldn't because Claude didn't expose an API with cause headers that all of this stuff is so weird and complicated. And yeah, like that, that, the more that with the more tools we add, the more expertise you need to really, To understand the full scope of what you can do.[00:48:44] Simon: And so it's, it's, I wouldn't say it's, it's, it's, it's like, the question really comes down to what does it take to understand the full extent of what's possible? And honestly, that, that's just getting more and more involved over time.[00:48:58] Local LLMs: A Growing Interest[00:48:58] swyx (2): I have one more topic that I, I [00:49:00] think you, you're kind of a champion of and we've touched on it a little bit, which is local LLMs.[00:49:05] swyx (2): And running AI applications on your desktop, I feel like you are an early adopter of many, many things.[00:49:12] Simon: I had an interesting experience with that over the past year. Six months ago, I almost completely lost interest. And the reason is that six months ago, the best local models you could run, There was no point in using them at all, because the best hosted models were so much better.[00:49:26] Simon: Like, there was no point at which I'd choose to run a model on my laptop if I had API access to Cloud 3. 5 SONNET. They just, they weren't even comparable. And that changed, basically, in the past three months, as the local models had this step changing capability, where now I can run some of these local models, and they're not as good as Cloud 3.[00:49:45] Simon: 5 SONNET, but they're not so far away that It's not worth me even using them. The other, the, the, the, the continuing problem is I've only got 64 gigabytes of RAM, and if you run, like, LLAMA370B, it's not going to work. Most of my RAM is gone. So now I have to shut down my Firefox tabs [00:50:00] and, and my Chrome and my VS Code windows in order to run it.[00:50:03] Simon: But it's got me interested again. Like, like the, the efficiency improvements are such that now, if you were to like stick me on a desert island with my laptop, I'd be very productive using those local models. And that's, that's pretty exciting. And if those trends continue, and also, like, I think my next laptop, if when I buy one is going to have twice the amount of RAM, At which point, maybe I can run the, almost the top tier, like open weights models and still be able to use it as a computer as well.[00:50:32] Simon: NVIDIA just announced their 3, 000 128 gigabyte monstrosity. That's pretty good price. You know, that's that's, if you're going to buy it,[00:50:42] swyx (2): custom OS and all.[00:50:46] Simon: If I get a job, if I, if, if, if I have enough of an income that I can justify blowing $3,000 on it, then yes.[00:50:52] swyx (2): Okay, let's do a GoFundMe to get Simon one it.[00:50:54] swyx (2): Come on. You know, you can get a job anytime you want. Is this, this is just purely discretionary .[00:50:59] Simon: I want, [00:51:00] I want a job that pays me to do exactly what I'm doing already and doesn't tell me what else to do. That's, thats the challenge.[00:51:06] swyx (2): I think Ethan Molik does pretty well. Whatever, whatever it is he's doing.[00:51:11] swyx (2): But yeah, basically I was trying to bring in also, you know, not just local models, but Apple intelligence is on every Mac machine. You're, you're, you seem skeptical. It's rubbish.[00:51:21] Simon: Apple intelligence is so bad. It's like, it does one thing well.[00:51:25] swyx (2): Oh yeah, what's that? It summarizes notifications. And sometimes it's humorous.[00:51:29] Brian: Are you sure it does that well? And also, by the way, the other, again, from a sort of a normie point of view. There's no indication from Apple of when to use it. Like, everybody upgrades their thing and it's like, okay, now you have Apple Intelligence, and you never know when to use it ever again.[00:51:47] swyx (2): Oh, yeah, you consult the Apple docs, which is MKBHD.[00:51:49] swyx (2): The[00:51:51] Simon: one thing, the one thing I'll say about Apple Intelligence is, One of the reasons it's so disappointing is that the models are just weak, but now, like, Llama 3b [00:52:00] is Such a good model in a 2 gigabyte file I think give Apple six months and hopefully they'll catch up to the state of the art on the small models And then maybe it'll start being a lot more interesting.[00:52:10] swyx (2): Yeah. Anyway, I like This was year one And and you know just like our first year of iPhone maybe maybe not that much of a hit and then year three They had the App Store so Hey I would say give it some time, and you know, I think Chrome also shipping Gemini Nano I think this year in Chrome, which means that every app, every web app will have for free access to a local model that just ships in the browser, which is kind of interesting.[00:52:38] swyx (2): And then I, I think I also wanted to just open the floor for any, like, you know, any of us what are the apps that, you know, AI applications that we've adopted that have, that we really recommend because these are all, you know, apps that are running on our browser that like, or apps that are running locally that we should be, that, that other people should be trying.[00:52:55] swyx (2): Right? Like, I, I feel like that's, that's one always one thing that is helpful at the start of the [00:53:00] year.[00:53:00] Simon: Okay. So for running local models. My top picks, firstly, on the iPhone, there's this thing called MLC Chat, which works, and it's easy to install, and it runs Llama 3B, and it's so much fun. Like, it's not necessarily a capable enough novel that I use it for real things, but my party trick right now is I get my phone to write a Netflix Christmas movie plot outline where, like, a bunch of Jeweller falls in love with the King of Sweden or whatever.[00:53:25] Simon: And it does a good job and it comes up with pun names for the movies. And that's, that's deeply entertaining. On my laptop, most recently, I've been getting heavy into, into Olama because the Olama team are very, very good at finding the good models and patching them up and making them work well. It gives you an API.[00:53:42] Simon: My little LLM command line tool that has a plugin that talks to Olama, which works really well. So that's my, my Olama is. I think the easiest on ramp to to running models locally, if you want a nice user interface, LMStudio is, I think, the best user interface [00:54:00] thing at that. It's not open source. It's good.[00:54:02] Simon: It's worth playing with. The other one that I've been trying with recently, there's a thing called, what's it called? Open web UI or something. Yeah. The UI is fantastic. It, if you've got Olama running and you fire this thing up, it spots Olama and it gives you an interface onto your Olama models. And t

Trevor and Christiana chat with YouTuber Marques Brownlee, professionally known as MKBHD and famous for his incredibly popular videos reviewing technology devices. The trio discusses how to survive and thrive in this era of nichification, fake outrage on the internet and its impact on creators, and whether AI is experiencing a PR nightmare or if in fact it will actually be able to kill us in our sleep. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Pre-show: Holiday results Steven Levy: Gone, Without a Trace Casey’s impending mess John needs technical support Follow-up: FotS Spencer found the gas car from the perspective of an EV owner On Recents in the Finder sidebar Michael Starke points out it isn’t new Odin points out it’s a default Joe Lion has complaints Possible next-generation Vision Pro displays (via Erich Jurgens) Vison Pro teardown Samsung’s screen breakthrough Sony’s OLED microdisplay Be suspect of iPhone Mirroring on corporate Macs Original blog post ~/Library/Daemon Containers/{…}/Data/Library/Caches iOS 18 Photos hate (via Quinn) Apple’s Wi-Fi & Bluetooth chip, and Magic Mouse update? MKBHD asks Tim Cook about the Magic Mouse Post-show: Casey has joined the YoLink bandwagon Casey’s super-shady installation LoRa Casey’s starter pack YoLink FAQ John’s starter pack Water Leak Detector YoLink store at Amazon Members-only ATP Overtime: Fast Directory Sizing WWDC 2016 #701: Introducing Apple File System Direct video link Slides PDF About Apple File System Apple File System Reference dirstat.h dirstat.c Sponsored by: Squarespace: Save 10% off your first purchase of a website or domain using code ATP. Become a member for ATP Overtime, ad-free episodes, member specials, and our early-release, unedited “bootleg” feed!

There are two new kids on the block in the world of filmmaking: the ARRI ALEXA 265 and the Nexus G1 camera prototype, both recently unveiled. Tune in to this episode for an in-depth discussion about these exciting releases and much more on cameras and filmmaking. Don't miss it! Sponsor: This episode is sponsored by FUJIFILM. Check it out at 18:01   Chapters & articles mentioned in this episode: (00:00) - Intro   (03:35) - CineD Cameras of the Year 2024 – And the Winners Are … https://www.cined.com/cined-cameras-of-the-year-2024-and-the-winners-are/   (19:00) - Nexus G1 Final Design & Prototype Unveiled – 6K S35 Blackmagic Sensor, Modular https://www.cined.com/nexus-g1-final-design-prototype-unveiled-6k-s35-blackmagic-sensor-modular/   (32:08) - ARRI ALEXA 265 Announced – A Small and Lightweight 65mm Camera https://www.cined.com/arri-alexa-265-announced-a-small-and-lightweight-65mm-camera/   (41:45) - B&H Deals – Heavily Reduced Prices on Leica SL2-S and Leica SL2 Cameras https://www.cined.com/gear-guides/bh-deals-heavily-reduced-prices-on-leica-sl2-s-and-leica-sl2-cameras/   (43:36) - OpenAI Sora Now Available for Public Use – Controversy Ensued https://www.cined.com/openai-sora-now-available-for-public-use-controversy-ensued/ MKBHD's Sora review: https://www.youtube.com/watch?v=OY2x0TyKzIQ   (59:40) - Video Editing Year-In-Review: Software Trends from 2023 to 2024 https://www.cined.com/video-editing-year-in-review-software-trends-from-2023-to-2024/   (01:04:16) - DJI Power Expansion Battery 2000 Introduced for the DJI Power 1000 https://www.cined.com/dji-power-expansion-battery-2000-introduced-for-the-dji-power-1000/   (01:08:02) - RØDE Wireless GO (Gen 3) Wireless Microphone System Released – Pro Features, Colors, and Affordable https://www.cined.com/rode-wireless-go-gen-3-wireless-microphone-system-released-pro-features-colors-and-affordable/   We hope you enjoyed this episode! You have feedback, comments, or suggestions? Write us at podcast@cined.com   

Today on the show Ethan and Nic are joined again by Ben Durham to talk Doug Fords Bill 212, MKBHD speeding in a school zone and congestion pricing coming to NYC!Ben Durham: https://www.youtube.com/@BenDurhamSend us a question: radiofreeurbanism@gmail.comPatreon: patreon.com/RadioFreeUrbanism Instagram: https://rb.gy/ezn9rzX(Twitter): https://x.com/RFUrbanism?s=20Alex: https://www.youtube.com/@humanecitiesEthan: https://www.youtube.com/@climateandtransitNic: https://www.youtube.com/@nicthedoorLinks:Ben's Bill 212 Video: https://www.youtube.com/watch?v=8-1vT0TmQjs&MKBHD: https://x.com/zekrotja/status/1856413518024868227NYC congestion pricing: https://www.thecity.nyc/2024/11/13/hochul-to-resurrect-congestion-pricing/

MKBHD and Youtube Tech Content Creator Politics ft  @covathetech 

MKBHD and Youtube Tech Content Creator Politics ft  @covathetech 

Denzel Comes Out, The Fall of MKBHD, The Rise of Kai Cenat, Why Barron Trump Is The Future

Denzel Comes Out, The Fall of MKBHD, The Rise of Kai Cenat, Why Barron Trump Is The Future

This week, Cody switches it up with a fresh solo format, diving into topics that caught his attention recently. From his recent return to archery to the crazy story of how he wound up watching the Paul/Tyson fight, there's a lot here and we think you're gonna like it! Got something you'd like Cody to cover next time? Drop your suggestions in the comments or send us a DM!  Follow us on Instagram: @praybeforechips @thatcodydueitt @cottageonjones • Follow us on Threads: @praybeforechips @thatcodydueitt • Subscribe on YouTube: Cottage On Jones • If you'd like to support us, here's a few ways you can do so: •Follow us on social media •Leave a review on Apple Podcasts  •Share the show with friends and family •Visit our merch store: https://cottonbureau.com/people/pray-before-chips

Join Drew, Mike, and Randy as they discuss Drew losing his airpods, the MKBHD controversy, and their favorite releases of the year! Randy's Channel: https://www.youtube.com/@RandyNexus Published: 11-16-2024, Recorded: 11-13-2024

Today Lauren is joined by special co-host Miles Sellyn, VP of Partnerships at Course Studio. On the show: YouTube keeps rolling out update after update, we chime in on the latest LinkedIn founder beef, and Messi sues KSI.Here are the links for what we covered today:Check out Miles Sellyn on LinkedIn.Check out Course Studio!YouTube shares the deets about where its videos come from - TubefilterYouTube wants to give you badges to reward you for doing stuff on YouTube - TubefilterYouTube takes a baby step toward labeling authentic video - The VergeYouTube is getting more granular playback speed controls and a sleep timer - The VergeKajabi has paid out over $8 billion to creators. Now its new brand revamp tells them: "Don't work for an algorithm. Work for you." - TubefilterMessi's drink company sues Logan Paul & KSI's Prime Hydration over “anti-competitive” claims - DexertoMessi Sports Drink Doesn't Rip Off Prime Trade Dress, Suit SaysTyler Denk

RDV Tech 585 – Orion, les lunettes de réalité augmentée de ZuckAu programme :Meta présente Orion : et si Meta devenait cool ?L'ère de l'IA apportera à tous la richesse et le confortPourquoi tout le monde déteste tout à coup MKBHDLe reste de l'actualitéLiens :

Bu bölümde Mert'in yeni macOS uygulaması Offline Translate, Xoode'un yeni Code Completion özelliği, Sam Altman'ın The Intelligence Age yazısı ve MKBHD'nin tartışma yaratan uygulaması üzerine sohbet ettik.Bizi dinlemekten keyif alıyorsanız, kahve ısmarlayarak bizi destekleyebilir ve Telegram grubumuza katılabilirsiniz. :)Yorumlarınızı, sorularınızı ya da sponsorluk tekliflerinizi info@farklidusun.net e-posta adresine iletebilirsiniz. Bizi Twitter üzerinden takip edebilirsiniz.Zaman damgaları:00:00 - Giriş01:15 - Offline Translate15:30 - iOS 18 ile gelen sorunlar21:25 - Xcode Code Completion30:44 - The Intelligence Age1:21:50 - Dikkat Eksikliği ve Hiperaktivite Bozukluğu1:28:19 - MKBHD'nin uygulaması1:46:16 - Space Marine 2 ve oyun incelemeleri1:54:44 - The Plucky Squire2:01:40 - Playstation'ın 30.yıl versiyonu2:14:20 - İzlediklerimizBölüm linkleri:Offline TranslateMeet the Translation APIVisionKitDevCleaner for XcodeThe Intelligence AgeOpenAI asked US to approve energy-guzzling 5GW data centers, report saysMicrosoft wants Three Mile Island to fuel its AI power needsCanva hikes prices by 300pc as it readies for IPOEnterprise Philosophy and The First Wave of AIComedian John Mulaney brutally roasts SF techies at DreamforceHollywood is coming out in force for California's AI safety billCalifornia's new law requires schools to limit phone useAmusing Ourselves to Death: Public Discourse in the Age of Show BusinessTechnopoly: The Surrender of Culture to TechnologyButlerian JihadMarques Brownlee says ‘I hear you' after fans criticize his new wallpaper appGordon Ramsay's perfect scrambled eggs tutorialPlayStation's 30th anniversary PS5 and PS5 Pro are delightfully retroSpace Marine 2videogamedunkeyAstro BotThe Plucky SquireKariyer Gelişiminde Tecrübe, Büyük Proje Yönetme Yetisi, Kültür ve GirişimcilikSteel SwarmLa MaisonThe PenguinOmnivoreTom yum çorbasıMert'in bahsettiği çok acı Laos yemeğiHot Ones

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover 1) OpenAI changing its corporate structure to for-profit, public benefit corporation, per reports 2) Is this good for OpenAI? 3) Turmoil through the transformation 4) Can you exist outside of 'the system'? 5) OpenAI CTO Mira Murati leaves 6) Further executive departures 7) Sam Altman's compensation 8) 'Elon Musk's revenge' 9) OpenAI will close its oversubscribed funding round next week 10) New York Times covers Goldman's AI critic 11) Hands on with Meta Orion 12) Augmented Reality as a new computing paradigm 13) Snap vs. Meta AR battle 14) MKBHD's less than stellar wallpaper app 15) Diddy and SBF are roommates --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. For weekly updates on the show, sign up for the pod newsletter on LinkedIn: https://www.linkedin.com/newsletters/6901970121829801984/ Want a discount for Big Technology on Substack? Here's 40% off for the first year: https://tinyurl.com/bigtechnology Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

El chistecito eléctrico de Ramza salió más caro de lo que esperaba, Zuckerberg ya se puso las pilas para el Quest 3S y Orion, sus lentes para realidad aumentada. Los juegos de PlayStation, el nuevo Zelda de Zelda y más

Timestamps: 0:00 oh would you look at that 0:10 Meta Connect 2024 2:29 ChatGPT Advanced Voice rollout 4:39 MKBHD Panels app backlash 7:18 QUICK BITS INTRO 7:25 Cloudflare's "AI Audit" 7:57 Kaspersky deletes, replaces itself 8:40 Asteroid-deflecting nukes viable 9:20 Twitter's 2024 Transparency Report 10:05 Panasonic's wet holograms News Sources: https://lmg.gg/ZfYwt Learn more about your ad choices. Visit megaphone.fm/adchoices

Meta shows off its prototype AR glasses, a must-change setting on watchOS 11, Marques Brownlee's ‘Panels' app draws all the schadenfreude, our review of iPhone 16 Pro after one week, Jony Ive teams up with OpenAI to make a gadget Stephen will surely buy, and recent departures from OpenAI.Sponsored by 1Password1Password Extended Access Management is the first security solution that brings all those unmanaged devices, apps, and identities under your control. Learn more at: 1password.com/product/xamWatch on YouTube!Subscribe and watch our weekly episodes plus bonus clips at: https://youtu.be/CYrSATRYcxMJoin the CommunityDiscuss new episodes, start your own conversation, and join the Primary Tech community here: social.primarytech.fmSupport the showJoin our member community and get an ad-free versions of the show, plus exclusive bonus episodes every week! Subscribe directly in Apple Podcasts or here: primarytech.memberful.com/joinReach out:Stephen's YouTube Channel@stephenrobles on Threads@stephenrobles on XStephen on MastodonJason's Inc.com Articles@jasonaten on Threads@JasonAten on XJason on MastodonWe would also appreciate a 5-star rating and review in Apple Podcasts and SpotifyPodcast artwork with help from Basic Apple Guy.Those interested in sponsoring the show can reach out to us at: podcast@primarytech.fmLinks from the showSt. Jude FundraiserChange This 1 Setting Right Now on Your Apple Watch| InciPhone 16 Pro and Apple Watch Series 10 Review - YouTubeHow to Make Camera Control Actually Useful - YouTubeMark Zuckerberg's Shirt Says 'All Zuck or All Nothing' in LatinHands-on with Orion, Meta's first pair of AR glasses - The VergeJust 5,000 people use the Rabbit R1 every day - The VergeiPhone 12 mini! Watch the full reveal here (with price) - YouTubeApple's 80% Charging Limit for iPhone: How Much Did It Help After a Year? - MacRumorsApple Intelligence | Custom memory movies | iPhone 16 Pro - YouTubeMarques Brownlee's ‘Panels' Backlash, ExplainedBest MKBHD Meme - XMira Murati Announces Departure - XOpenAI's chief research officer has left following CTO Mira Murati's exit | TechCrunchOpenAI's for-profit switch could include equity for Sam Altman - The VergeInside Jony Ive's Life After Apple and His LoveFrom Design Business - The New York TimesOne more thing... Goodbye from iMore | iMore (00:00) - Intro (03:05) - Meta's Orion AR Glasses (14:14) - Rabbit R1 is Dead (17:27) - watchOS 11 Fail (23:07) - 80% iPhone Charging (24:47) - Apple Intelligence Commercials (28:23) - iPhone 16 Pro Review (36:17) - AirPods 4 ANC Review (40:32) - Sponsor: 1Password (42:20) - MKBHD's Wallpaper App (56:01) - OpenAI Transitions (01:07:36) - Jony Ive Profile (01:10:10) - Goodbye, iMore (01:15:25) - Apple Watch Series 10 vs Ultra 2 ★ Support this podcast ★

In this episode we discuss Diddy on suicide watch; Mark Robinson old posts resurface; Mr. Beast under more criticism; MKBHD drops an expensive wallpaper app; Hal Jordan casting update for “Green Lantern” series; 300 prequel in the works; our thoughts on “The Penguin” & “Agatha All Along”; all this and more! QOTD: “Who is a celebrity you hated at first but they grew on you and now you're pretty much a fan?” “Is there a habit you have that others find weird?” “Give me your Mount Rushmore of 80s/90s snacks.” NEED MERCH?!: www.insensitivemerch.com Join the cult of Casual Nerds and get up to 15% off! AFFILIATE PODCASTS: CriticalMass (https://podcasts.apple.com/us/podcast/criticalmass-podcast/id1350565395) For more info about us visit: asylumstudios.live/ Contact via email: joaquin@asylumstudios.live AsylumStudios #InsensitiveCulture #podcast #podcasting #spotify #podcasts #podcastersofinstagram #podcastlife #podcaster #youtube #hollywood #movienews #comedy #itunes #podcasters #film #applepodcasts #podcastshow #interview #newpodcast #television #spotifypodcast #applepodcast #cinema #radioshow #popculture

Episode 417: Neal and Toby discuss the latest DOJ battle against a big company, this time against Visa, alleging it monopolizes the debit card business. Then, FTX fraudster and key witness Caroline Ellison cooperates with the courts but receives 2 years in prison. Also, the CEO of Novo Nordisk stands before Congress to answer if Ozempic's price is too out of reach for Americans. Meanwhile, a port strike across the East and Gulf Coasts could result in a supply chain nightmare. Plus, popular tech reviewer MKBHD, known for his unfettered reviews of products, releases a product of his own. Now it's open season for other reviewers. Lastly, the Chicago White Sox is on the brink of being the worst team in baseball history. How did they get there? Subscribe to Morning Brew Daily for more of the news you need to start your day, share the show with a friend, and leave us a review on your favorite podcast app. To learn more about how Wise could work for your business, visit https://wise.com/business/  Checkout Brew Markets Here Get your Morning Brew Daily T-Shirt HERE: https://shop.morningbrew.com/products/morning-brew-radio-t-shirt?_pos=1&_sid=6b0bc409d&_ss=r&variant=45353879044316  Listen to Morning Brew Daily Here: https://link.chtbl.com/MBD Watch Morning Brew Daily Here: https://www.youtube.com/@MorningBrewDailyShow 00:00 - Mini Moon 03:10 - Visa Lawsuit 08:30 - Caroline Ellison Sentencing  12:09 - Novo Nordisk Ozempic Prices 17:45 - East Coast Port Strike 23:00 - MKBHD Panels App Review 26:40 - White Sox Woes Learn more about your ad choices. Visit megaphone.fm/adchoices

Some people are overreacting BUT this is a big big miss… Just go to https://www.zocdoc.com/phil and download the Zocdoc app for FREE. Then find and book a top-rated doctor today! Go to http://hellofresh.com/freedefranco to get one free breakfast item per box while subscription is active. New Limited Drop @ https://BeautifulBastard.com is LIVE AND YOU CAN GET 20-60% OFF on Drop Week! 42 Days Until Election Day! Make Sure You Are Registered to VOTE: https://Vote.org – ✩ TODAY'S STORIES ✩ – 00:00 - MKBHD Responds to Backlash After Launching Panels App 05:12 - Elon Musk Backs Down in Brazil & Agrees to Comply with Judge's Orders 08:01 - Sponsored by ZocDoc 09:12 - One Third of Former NFL Players Believe They Have CTE 11:00 - Health System to Pay $65 Million Settlement After Hackers Leaked Patient Images 13:24 - Rep. NE Senator Stops Effort to Change State Electoral Rules in Favor of Trump 16:32 - Sponsored by HelloFresh 17:30 - Despite the Glamorous Reputation, Flight Attendants Are Overworked & Underpaid —————————— Produced by: Cory Ray Edited by: James Girardier, Maxwell Enright, Julie Goldberg, Christian Meeks, Matthew Henry Art Department: William Crespo Writing/Research: Philip DeFranco, Brian Espinoza, Lili Stenn, Maddie Crichton, Chris Tolve, Star Pralle, Jared Paolino Associate Producer on Flight Attendants: Jared Paolino

The Internet Archive just lost its appeal over ebook lending Brazil Blocks X After Musk Ignores Court Orders Telegram Founder Pavel Durov's Indictment Thrusts Encryption Into the Spotlight Elon Musk, Tesla (TSLA) Beat Suit Over Promoting Dogecoin 'Pyramid Scheme' America Must Free Itself from the Tyranny of the Penny Did your car witness a crime? Bay Area police may be coming for your Tesla — and they might tow it NaNoWriMo is in disarray after organizers defend AI writing tools Ask Claude: Amazon turns to Anthropic's AI for Alexa revamp AI's impact on elections is being overblown AI may not steal many jobs after all. It may just make workers more efficient Anil Dash: How Oprah will screw up the AI story The winners of Michigan's 2024 "I voted" sticker contest Diggnation 2.0 Android Has Five New Features Out Today Google Removing Poor-Quality Android Apps From Play Store to Boost Engagement Google Clock rolling out new Timer Starter widget Google renames TensorFlow Lite to LiteRT, TensorFlow brand remains YouTube debuts new parental controls aimed at teens The Secret Inside One Million Checkboxes Carbonara in a can? Chefs get shirty but Heinz is unrepentant Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: veeam.com e-e.com/twit

The Internet Archive just lost its appeal over ebook lending Brazil Blocks X After Musk Ignores Court Orders Telegram Founder Pavel Durov's Indictment Thrusts Encryption Into the Spotlight Elon Musk, Tesla (TSLA) Beat Suit Over Promoting Dogecoin 'Pyramid Scheme' America Must Free Itself from the Tyranny of the Penny Did your car witness a crime? Bay Area police may be coming for your Tesla — and they might tow it NaNoWriMo is in disarray after organizers defend AI writing tools Ask Claude: Amazon turns to Anthropic's AI for Alexa revamp AI's impact on elections is being overblown AI may not steal many jobs after all. It may just make workers more efficient Anil Dash: How Oprah will screw up the AI story The winners of Michigan's 2024 "I voted" sticker contest Diggnation 2.0 Android Has Five New Features Out Today Google Removing Poor-Quality Android Apps From Play Store to Boost Engagement Google Clock rolling out new Timer Starter widget Google renames TensorFlow Lite to LiteRT, TensorFlow brand remains YouTube debuts new parental controls aimed at teens The Secret Inside One Million Checkboxes Carbonara in a can? Chefs get shirty but Heinz is unrepentant Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: veeam.com e-e.com/twit

The Internet Archive just lost its appeal over ebook lending Brazil Blocks X After Musk Ignores Court Orders Telegram Founder Pavel Durov's Indictment Thrusts Encryption Into the Spotlight Elon Musk, Tesla (TSLA) Beat Suit Over Promoting Dogecoin 'Pyramid Scheme' America Must Free Itself from the Tyranny of the Penny Did your car witness a crime? Bay Area police may be coming for your Tesla — and they might tow it NaNoWriMo is in disarray after organizers defend AI writing tools Ask Claude: Amazon turns to Anthropic's AI for Alexa revamp AI's impact on elections is being overblown AI may not steal many jobs after all. It may just make workers more efficient Anil Dash: How Oprah will screw up the AI story The winners of Michigan's 2024 "I voted" sticker contest Diggnation 2.0 Android Has Five New Features Out Today Google Removing Poor-Quality Android Apps From Play Store to Boost Engagement Google Clock rolling out new Timer Starter widget Google renames TensorFlow Lite to LiteRT, TensorFlow brand remains YouTube debuts new parental controls aimed at teens The Secret Inside One Million Checkboxes Carbonara in a can? Chefs get shirty but Heinz is unrepentant Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: veeam.com e-e.com/twit

We preview everything you can expect from next week's Glowtime Apple event, including iPhone 16, AirPods 4, and Apple Watch X rumors, plus discuss Oprah's controversial AI television special, Stephen reviews the Pixel 9 Pro, and EU's browser shenanigans is getting ridiculous.Donate to St. JudeJoin us and Relay.fm in supporting St. Jude's Children's hospital throughout the month of September! Our Primary Tech goal is $1,000 and we need YOUR help. Learn more and donate at: https://tiltify.com/@primarytechshow/relayChapter Image Credit: 9to5mac Watch on YouTube!Subscribe and watch our weekly episodes plus bonus clips at: youtube.com/@primarytechshowJoin the CommunityDiscuss new episodes, start your own conversation, and join the Primary Tech community here: social.primarytech.fmSupport the showJoin our member community and get an ad-free versions of the show, plus exclusive bonus episodes every week! Subscribe directly in Apple Podcasts or here: primarytech.memberful.com/joinReach out:Stephen's YouTube Channel@stephenrobles on Threads@stephenrobles on XStephen on MastodonJason's Inc.com Articles@jasonaten on Threads@JasonAten on XJason on MastodonWe would also appreciate a 5-star rating and review in Apple Podcasts and SpotifyPodcast artwork with help from Basic Apple Guy.Those interested in sponsoring the show can reach out to us at: podcast@primarytech.fmLinks from the showDonate to St. Jude!Apple Vision Pro Head StrapiPhone 15 Pro Max 5X Camera: 1 Year Review - YouTubePixel 9 Pro XL Review After 15 Years on iPhone - YouTubeHere are 16 rumored changes coming to the iPhone 16 lineup - 9to5Mac@markgurman on iPhone color • Threads2024 Color of the YearPantone Fashion Color Trend Report for NYFW Plays up Natural ShadesAirPods 4 Rumors: Everything We Know So Far - MacRumorsApple Watch X: All the Rumors So Far - MacRumorsApple Sports is ready for football season - AppleNvidia $279 billion wipeout, the biggest in history, drags chip stocksOprah's upcoming AI television special sparks outrage | Ars TechnicaAbout the browser choice screen in the EU - Support - Apple Developer (00:00) - Intro (04:11) - Donate To St. Jude (06:11) - Apple Event Preview (07:27) - iPhone 16 Feature Rumors (11:34) - iPhone 16 Capture Button (16:04) - 5X Camera IPhone 16 Pro (21:00) - Faster Charging Speeds (24:27) - iPhone Pre-Order Dates (27:38) - Apple Intelligence on All iPhones (33:41) - Wi-Fi 7 and MagSafe Charging (36:21) - Bluetooth 6.0 and Find My (38:27) - iPhone Brown Color (42:37) - AirPods 4 Rumors (45:12) - Apple Watch X (49:30) - Apple Sports App (52:51) - Nvidia Stock Drops (56:47) - Oprah's AI TV Special (01:06:55) - EU Browser Shenanigans (01:12:01) - Pixel 9 Pro Review ★ Support this podcast ★

The Internet Archive just lost its appeal over ebook lending Brazil Blocks X After Musk Ignores Court Orders Telegram Founder Pavel Durov's Indictment Thrusts Encryption Into the Spotlight Elon Musk, Tesla (TSLA) Beat Suit Over Promoting Dogecoin 'Pyramid Scheme' America Must Free Itself from the Tyranny of the Penny Did your car witness a crime? Bay Area police may be coming for your Tesla — and they might tow it NaNoWriMo is in disarray after organizers defend AI writing tools Ask Claude: Amazon turns to Anthropic's AI for Alexa revamp AI's impact on elections is being overblown AI may not steal many jobs after all. It may just make workers more efficient Anil Dash: How Oprah will screw up the AI story The winners of Michigan's 2024 "I voted" sticker contest Diggnation 2.0 Android Has Five New Features Out Today Google Removing Poor-Quality Android Apps From Play Store to Boost Engagement Google Clock rolling out new Timer Starter widget Google renames TensorFlow Lite to LiteRT, TensorFlow brand remains YouTube debuts new parental controls aimed at teens The Secret Inside One Million Checkboxes Carbonara in a can? Chefs get shirty but Heinz is unrepentant Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: veeam.com e-e.com/twit

AnandTech Shuts Down, Brazil Bans X, Alexa Revamp Ask Claude: Amazon turns to Anthropic's AI for Alexa revamp Telegram CEO Pavel Durov Held Over Alleged Child Protection Failures on App Telegram founder Pavel Durov transferred from police custody to court after arrest in France Brazil judge orders suspension of Elon Musk's X Elon Musk, Tesla (TSLA) Beat Suit Over Promoting Dogecoin 'Pyramid Scheme' End of the Road: An AnandTech Farewell Oprah, Sam Altman, and MKBHD walk into a TV show about AI and it's not a joke Court orders a new hearing for Adnan Syed in 'Serial' case. Here's what to know Tom Hanks warns followers to be wary of 'fraudulent' ads using his likeness through AI China's AI Engineers Are Secretly Accessing Banned Nvidia Chips 'Seeking Mavis Beacon' Review: A Search for a Black Luminary Host: Leo Laporte Guests: Doc Rock, Louis Maresca, and Wesley Faulkner Download or subscribe to this show at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: flashpoint.io bitwarden.com/twit NetSuite.com/TWIT Fundrise.com/TWIT Melissa.com/twit

AnandTech Shuts Down, Brazil Bans X, Alexa Revamp Ask Claude: Amazon turns to Anthropic's AI for Alexa revamp Telegram CEO Pavel Durov Held Over Alleged Child Protection Failures on App Telegram founder Pavel Durov transferred from police custody to court after arrest in France Brazil judge orders suspension of Elon Musk's X Elon Musk, Tesla (TSLA) Beat Suit Over Promoting Dogecoin 'Pyramid Scheme' End of the Road: An AnandTech Farewell Oprah, Sam Altman, and MKBHD walk into a TV show about AI and it's not a joke Court orders a new hearing for Adnan Syed in 'Serial' case. Here's what to know Tom Hanks warns followers to be wary of 'fraudulent' ads using his likeness through AI China's AI Engineers Are Secretly Accessing Banned Nvidia Chips 'Seeking Mavis Beacon' Review: A Search for a Black Luminary Host: Leo Laporte Guests: Doc Rock, Louis Maresca, and Wesley Faulkner Download or subscribe to this show at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: flashpoint.io bitwarden.com/twit NetSuite.com/TWIT Fundrise.com/TWIT Melissa.com/twit

AnandTech Shuts Down, Brazil Bans X, Alexa Revamp Ask Claude: Amazon turns to Anthropic's AI for Alexa revamp Telegram CEO Pavel Durov Held Over Alleged Child Protection Failures on App Telegram founder Pavel Durov transferred from police custody to court after arrest in France Brazil judge orders suspension of Elon Musk's X Elon Musk, Tesla (TSLA) Beat Suit Over Promoting Dogecoin 'Pyramid Scheme' End of the Road: An AnandTech Farewell Oprah, Sam Altman, and MKBHD walk into a TV show about AI and it's not a joke Court orders a new hearing for Adnan Syed in 'Serial' case. Here's what to know Tom Hanks warns followers to be wary of 'fraudulent' ads using his likeness through AI China's AI Engineers Are Secretly Accessing Banned Nvidia Chips 'Seeking Mavis Beacon' Review: A Search for a Black Luminary Host: Leo Laporte Guests: Doc Rock, Louis Maresca, and Wesley Faulkner Download or subscribe to this show at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: flashpoint.io bitwarden.com/twit NetSuite.com/TWIT Fundrise.com/TWIT Melissa.com/twit

AnandTech Shuts Down, Brazil Bans X, Alexa Revamp Ask Claude: Amazon turns to Anthropic's AI for Alexa revamp Telegram CEO Pavel Durov Held Over Alleged Child Protection Failures on App Telegram founder Pavel Durov transferred from police custody to court after arrest in France Brazil judge orders suspension of Elon Musk's X Elon Musk, Tesla (TSLA) Beat Suit Over Promoting Dogecoin 'Pyramid Scheme' End of the Road: An AnandTech Farewell Oprah, Sam Altman, and MKBHD walk into a TV show about AI and it's not a joke Court orders a new hearing for Adnan Syed in 'Serial' case. Here's what to know Tom Hanks warns followers to be wary of 'fraudulent' ads using his likeness through AI China's AI Engineers Are Secretly Accessing Banned Nvidia Chips 'Seeking Mavis Beacon' Review: A Search for a Black Luminary Host: Leo Laporte Guests: Doc Rock, Louis Maresca, and Wesley Faulkner Download or subscribe to this show at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: flashpoint.io bitwarden.com/twit NetSuite.com/TWIT Fundrise.com/TWIT Melissa.com/twit

Welcome back to another bonus episode! This week we're doing a story time episode where we tell a bunch of the funny/weird things that have happened while working here at MKBHD. We start off with how the Autofocus name came to be, that time the FBI came to visit, and Marques meeting an F1 star and not knowing it. We'll be back Friday with a regular episode but we hope you get some joy out of this one in the meantime! Links:  Marques FBI video: https://bit.ly/4c7T6ka Shop the merch: https://shop.mkbhd.com Socials: Waveform: https://twitter.com/WVFRM Waveform: https://www.threads.net/@waveformpodcast Marques: https://www.threads.net/@mkbhd Andrew: https://www.threads.net/@andrew_manganelli David Imel: https://www.threads.net/@davidimel Adam: https://www.threads.net/@parmesanpapi17 Ellis: https://twitter.com/EllisRovin TikTok:  https://www.tiktok.com/@waveformpodcast Join the Discord: https://discord.gg/mkbhd Music by 20syl: https://bit.ly/2S53xlC Waveform is part of the Vox Media Podcast Network. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Level up your health at http://www.TryARMRA.com/DEFRANCO and use code DEFRANCO at checkout to get up to 15% off your first order. Go to http://meundies.com/phil to get 20% off and free shipping. ==== ✩ TODAY'S STORIES ✩- – 00:00 - Major Tech Companies Used YouTube Transcripts to Train AI 03:55 - Jack Black Ends Tenacious D Tour 05:33 - Brazilian Influencer Jailed for Enslaving Followers 09:41 - Judge in Young Thug Trial Ordered to Step Aside 11:33 - Sponsored by ARMRA 12:40 - Highlights From RNC Day One 17:45 - Senior North Korean Diplomat Defects to South 20:52 - Amazon's One Medical Failed to Escalate Calls, Directed Staff to Lie 22:52 - Sponsored by MeUndies 23:57 - Baltimore man Died After Being Sedated, Restrained by First Responders 27:08 - The Six FEC Commissioners that Control the 2024 Election —————————— Produced by: Cory Ray Edited by: James Girardier, Maxwell Enright, Julie Goldberg, Christian Meeks, Matthew Henry Art Department: William Crespo Writing/Research: Philip DeFranco, Brian Espinoza, Lili Stenn, Maddie Crichton, Chris Tolve, Star Pralle, Jared Paolino Associate Producer for FEC: Jared Paolino ———————————— #DeFranco #MKBHD #PewDiePie ————————————

Use code “PHIL” for $20 OFF your first SeatGeek order & returning buyers use code “PDS” for $10 off AND your chance at weekly $500 prizes! https://seatgeek.onelink.me/RrnK/PHIL Get in on the https://BeautifulBastard.com Flowers Drop before your size sells out S-5XL! ==== ✩ TODAY'S STORIES ✩- – 00:00 - Creepy Game Developer Forces Staff to Join Mandatory “Sauna Sessions” 02:45 - Jacob Elordi Was Deepfaked onto a 17yo's Body 03:41 - MKBHD Tells People Not to Blame Him for Fisker Bankruptcy 07:35 - Sponsored by Seatgeek 08:31 - TikTok Is Running Rampant with Misinformation About the Draft 12:30 - Boeing CEO Admits Company Retaliated Against Whistleblowers 15:48 - Comment Commentary —————————— Produced by: Cory Ray Edited by: James Girardier, Maxwell Enright, Julie Goldberg, Christian Meeks, Matthew Henry Art Department: William Crespo Writing/Research: Philip DeFranco, Brian Espinoza, Lili Stenn, Maddie Crichton, Chris Tolve, Star Pralle, Jared Paolino ———————————— #DeFranco #MKBHD #JacobElordi ————————————

Go to http://KiwiCo.com/DEFRANCO and use code DEFRANCO to get 50% off your first crate of any KiwiCo monthly subscription! Go to http://zbiotics.com/DEFRANCO and use code DEFRANCO at checkout to get up to 15% off your first order. New 3-Packs & Cyber Lime Collections NOW LIVE @ https://BeautifulBastard.com ==== ✩ TODAY'S STORIES ✩- – 00:00 - Americans' Sound Off on Airplane Etiquette 2:47 - Elon Musk Claims Apple's New Partnership With Open AI Will Be a Disaster 6:41 - Jon Stewart Slams Cynicism of Corporate Pride Month Celebrations 9:57 - Sponsored by KiwiCo 11:00 - Hunter Biden Found Guilty on 3 Counts 13:05 - Secret Sting Recordings of Samuel & Martha-Ann Alito, John Roberts Released 19:58 - Sponsored by ZBiotics 21:08 - King Charles Portrait Vandalized, YouTuber Elected to EU, Young Thug Legal Drama 25:05 - Homeownership Costs in U.S. Have Surged 26% Since 2020 —————————— Produced by: Cory Ray Edited by: James Girardier, Maxwell Enright, Julie Goldberg, Christian Meeks, Matthew Henry Art Department: William Crespo Writing/Research: Philip DeFranco, Brian Espinoza, Lili Stenn, Maddie Crichton, Chris Tolve, Jared Paolino ———————————— #DeFranco #MKBHD #JonStewart ————————————