


27 Oct 2026 · 32m · 9 chapters

DTNS episode covering Apple’s staggered hardware releases (24-inch iMac and 14-inch MacBook Pro with M6 chips), plus OpenAI math/physics proof claims, AI language equity token-cost differences, and several tech briefs (security patch, iOS update, Opera WebAI, etc.).
No named guests appear; it’s hosted by Tom Merritt and Jason Howell, with listener/patron mentions only.
Apple’s daily product drip keeps attention on Apple until the touchscreen Mac reveal; M6 iMac/MacBook Pro are spec upgrades (faster than prior M5/M4 models, Wi‑Fi 7/Bluetooth 6, fast charging, battery life claims). OpenAI claims disproof of the Exponential Time Hypothesis (3SAT), proofs of the Local Smoothing Conjecture, and existence proofs for certain 4D quantum field theories (including Yang-Mills).
flight scheduling as an ETH intuition; token-count example translating an English sentence to Malayalam; OpenAI using Lean verification; Opera WebAI running open-weight models in-browser.
Written by AI. May contain mistakes.
Discussion on Apple's strategy of releasing products daily leading up to big announcements.
“Instead of one day with an avalanche of products, they're releasing a new product each day leading up to the big reveal of the touchscreen laptops on Wednesday.”
Overview of the new M6 chips in Apple's latest products, including iMac and MacBook Pro.
“They say it can reach 50 % in 30 minutes, and they're claiming 24 hours of battery life.”
Hosts discuss the pressure of upgrading devices and consumer behavior regarding new releases.
“Unless you know that the new ones are coming out within a month or something, then it might be worth waiting.”
Discussion on OpenAI's recent discoveries in computer science and physics.
“Yeah, we could have talked about this at the top, but we talked about, you know, mathematics and open AI and everything before.”
Exploration of the existential crisis in mathematics due to AI advancements.
“really speed up things by finding those kinds of algorithms.”
Debate on the accessibility of AI tools across different languages.
“should get the credit for being able to explain, yes, this proof works and here's why, and it brings them along.”
Learn about the latest features in Apple's Creator Studio and AI integrations.
“want to be able to help those people, too, with tools.”
Stay updated with the latest tech news and product releases.
“Nash, for noting this one on our subreddit.”
Hear from listeners about music technology and upcoming topics.
“If you didn't catch the interview, definitely check it out from last weekend.”

Get the gist, explore an idea or ask about something said.
On Daily Tech News Show, what are the key points of this episode?
Automatic transcript. May contain errors.
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2:14this is the daily tech news for tuesday october 27th 2026 we tell you what you need to know we give you important context we help each other understand yeah we do today apple's got a way about them of dominating the tech news this week. They've got a way. They've got a way. I don't know what it is, but I am Tom Merritt. I'm Jason Howell. Let's start with less Billy Joel and more of the big story. Sorry. Poor Billy Joel. We'll get to Billy Joel later. Let's do some J-Hope. Apple is killing it, girl. I know what they're doing. Instead of one day with an avalanche of products, they're releasing a new product each day leading up to the big reveal of the touchscreen laptops on Wednesday.
3:01This keeps them in the news in a way that a big single announcement day would not. So as a contrarian podcaster, I was going to put something else in the big story today, just, you know, to be like, you can't tell me what to do, Apple. But Apple has chosen this week. Well, there's not much competition. And when Google News and TechMeme and every other signal iWatch to see what people think is big news, have the new M6 Macs at the top of their page, who am I to argue? So let's talk about them. Apple announced a 24-inch iMac and a 14-inch MacBook Pro, both with M6 chips. That's one better than the M5.
3:38You'll be happy to know, actually, that the M6 iMac is faster than the previous one with the M4 chip. No, no, wait a minute. Yeah. Also, the M6 MacBook Pro is faster than the previous one with the M5. Not as much faster as the one that went from the M4. What Apple will not dwell on is that the M5 Pro and the M5 Max in the higher-end models may be superior, even though the M6 chips are fastest. Also, keep in mind that the base model of the iMac is a 10-core M6. You can upgrade to a more expensive model with the same 12-core M6 that comes in the new MacBook Pro, but if you cheap out on the iMac, you're getting two less cores in your M6.
4:21It's an M5.8. That's not true. These are both spec upgrades. They did not change the design of these, but both models support Wi-Fi 7, Bluetooth 6, and the 14-inch MacBook Pro now has fast charging. They say it can reach 50 % in 30 minutes, and they're claiming 24 hours of battery life. You can pre-order both these models on Wednesday, October 28th. The iMac starts at$1499 for the 10-core M6 model and base model of 16 gigabytes of unified memory. By the way, you do need to get the 12-core M6 if you want to get 32 gigabytes of unified memory. You can only get 16 gigabytes with the base model. There's also a 256-gigabyte hard drive option at$1499.
5:06It costs more if you want to add to that. 14-inch MacBook Pro starts at a little more,$1 ,999. That starts with 16 gigabytes of unified memory and a terabyte of storage. Both of these will begin shipping on November 6th, Jason. Okay. Well, you know, any time year after year we talk about these big Pro upgrades for Apple's laptops and their iMacs and everything. But for me, laptops and studios, because I have a studio that I'm running right now, and then I have a MacBook Pro as my laptop, I'm always reminded of how old mine is, apparently, suddenly. It's kind of crazy. It's an M1. Right? Like, you see this, and I'm like, I've got an M1 Pro laptop from 2021.
5:48I blink, and it's five years later. Yet at the same time, it's still rocking for me. Like, I give Apple a lot of props. their processors and what they've been doing with their chips and everything, give you a lot of lasting power, depending on how you're using them, clearly. And I think what's changing right now is that there's a lot more emphasis very suddenly, and some of this emphasis coming from Apple, maybe not here, but in other parts of its catalog, around local AI and the power that you need on your computer to do some of the more advanced and future-facing things with AI on your device.
6:22And so maybe that makes it more essential. It makes it faster at that stuff, for sure. Like running Xcode and all of that stuff is faster on the M6 versions of these. Obviously, the big news is going to be tomorrow when they do the touchscreen versions. And then we're going to get new higher-end MacBook Pros probably after the first of the year. So the cycle never ends. You should always just buy whatever the best for your needs is on that day if you're looking for these sorts of things. Unless you know that the new ones are coming out within a month or something, then it might be worth waiting.
6:54uh i i still use an m1 macbook pro as my kind of walking around laptop i was gonna get rid of it but it's still so good still great totally i actually do a bunch of like codex stuff on it and it's fine you know it might be a little slower than if i used my m4 which now feels so old because it's so sad um but yeah it's it's perfectly fine those the apple silicon is is very good so these These are not must-have upgrades. These are, oh, if you are in the market for this, there is now a new version, which is going to be slightly faster. So you might want to get that one. Yeah, but again, like you mentioned, not a major step up.
7:34Design, very similar, right? Yeah. The biggest jump being the M4 to the M6. It's really mostly about that. On the iMac, yeah, yeah. Yeah, on the iMac anyways. But you mentioned the staggered approach of how Apple does this, which is this. I mean, this is kind of part of their playbook, right? And they're expert at it. You know, what they do in a week like this, if they were to release some of these machines at the same time as the touchscreen during one big announcement that happens at one time, these would almost certainly get overshadowed. These would be mentions at the end. They also did a spec upgrade of the 14-inch MacBook Pro and the iMac.
8:15And you wouldn't talk about it much. Instead, somehow they managed to make it dominate tech news on a Tuesday. And they're going to dominate it legitimately so, in my opinion, tomorrow when Apple finally puts out a touchscreen laptop and all the conversation that's going to happen around that. So, yeah, I think that's something to talk about on our Friday show. One of the big questions of the week is like, what do you think of this new strategy from Apple? I mean, I think it's super effective, right? Like what you were just saying, if they were on the same day, these news items end up at the end as a mention.
8:50If they're on different days, then the next really big piece of news, the touchscreen Mac, ends up at the end as a mention to get you excited for it and come back for tomorrow. And so it just keeps everybody dialed in. Apple's great at really appealing to people's interest and to what they have coming next. Now, you can reasonably look at the rest of the show and say, well, that should have been the big story. It's all a judgment call. For sure. And yesterday we put the new iPad mini not as the big story, but it's just kind of, you know, it's a judgment call on what it's up against. And like I said, one of the things I look at is like, what's at the top of tech meme?
9:28Oh, the Apple release. That's weird. What's at the top of Google? Oh, the Apple release. Okay. I guess people are excited about it. Apple's pretty good at getting people excited about it. Even if we are not or you are not, there are plenty of people who are. Yeah, I do definitely, though, feel myself starting to get that nervous twitch of like, do I need to upgrade? Is it time? Yeah. Normally at five years. They do that to you. Yeah. Right. Normally at five years, I feel like laptops really start to show their age and you start to really feel their age. But I'm not feeling that with my machine from 2021.
10:00So I recognize my desire to upgrade is driven by none other than like FOMO. You know, it's like, well, it's a new one. Wait until tomorrow when you see the touchscreen laptops and you will definitely be, you know, in the FOMO field that you will have to resist. Yes, yes. DTNS is made possible by you, the listener. Big thank you to Mike Cortez, Bill Russell, Erwin Sturer, and Stim. Hey, Stim's been with us since day one. Also, welcome to new patrons Bruno T and Quaid. Quaid. An advantage of Half-tober and our little discount that goes on until the end of the year. Good job.
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14:26There is more we need to know today. Let's get to the briefs. Yeah, we could have talked about this at the top, but we talked about, you know, mathematics and open AI and everything before. So maybe it isn't top news, but it's top here. Open AI continues to pump out scientific findings that continue to cause some pretty intense discussion among the scientists in those disciplines. The latest centers around the exponential time hypothesis. And you're going to need to stick with me. Usually on these topics, it's like I'm learning as much as you are as we're kind of walking through it. It was proposed in 1999 and hypothesizes that there is no shortcut for computers to solve certain problems called 3SAT or 3SAT.
15:08Think of scheduling flights as an imprecise but real-world example. OpenAI says it found a disproof of the hypothesis on October 16th. It published a write-up and its verification in Lean, which is the language that verifies mathematical proofs by machine on GitHub. The scientists who proposed ETH are part of a group making an independent evaluation of it. So the group signed an NDA but will not be paid for their evaluation. Now, OpenAI will release all its raw data on the results and fund a conference for the research community. OpenAI also said its model proved something called the local smoothing conjecture proposed in 1991.
15:55Mathematicians had proved it in two dimensions in 2019 and a related problem called the Kakea conjecture in three dimensions in 2025. OpenAI has released a write-up and a lean proof. And finally, in physics, OpenAI says its model produced a rigorous proof that certain quantum field theories, including quantum chromodynamics, exist in four dimensions. That work includes a proof that the pure Yang-Mills theory exists, which is part one of the Clay Mathematics Institute's Millennium Prize problems. Nobel laureate David Gross will lead a group writing up that work. For now, only the group has access to the materials involved in the proofs.
16:40However, there is an email for the group, yangmills4d at gmail.com, where you can send them questions. And OpenAI will not seek credit. So they're saying the researchers in the groups evaluating the claims should get that recognition. Oh, you said quantum chromodynamics. I spent all this time reading up on quantum electrodynamics. Oh, boy. Waste of time. What a maroon. What are you going to do with that? Let's focus first on these three a little bit and then talk about where this fits into this wider conversation that you've been having with Jeff on AI Inside. Yeah, yeah. The exponential time hypothesis, I know I keep wanting to say Ethereum when I see it abbreviated as Ethereum.
17:21Yes, I almost did. I almost did that. exponential time hypothesis is apparently the one that people are excited about the most probably because it's computer science one uh and like the flight scheduling thing it's not exactly that you have to brute force everything but it does say for certain types of problems those three set problems that you were talking about you can't do a clever algorithm that dramatically shortens how to do it uh and what open ai found is like apparently you can't uh so that now directs research, like, well, let's keep looking for those ways to do it, because if you can, maybe we can really speed up things by finding those kinds of algorithms.
18:02That itself could be a huge advance. And then, of course, with the quantum field theories and everything, that could revolutionize physics. The local smoothing conjecture seemed to be the one that people were talking about the least, But again, you know, that is a big mathematics problem that was part of a, you know, of a competition to work out on. I think what OpenAI did here is very interesting because they played nice with physics and computer science and said, we're going to give you all the data. If you sign an NDA, we'll give you even more insight into how we did it. And we'll fund a conference.
18:43We'll pay for you all to get together and discuss this, and we won't take the credit. What you said at the end, I think, is the biggest deal is we don't think the model should get credit. We think you interpreting the results should get credit. And I think what they're trying to do is set a precedent for the future that says models shouldn't be credited with discoveries, nor should people who write a prompt be credited with discoveries. people who can interpret the discovery and evaluate it should be credited for the work of evaluating it. I think that's really interesting to see if that sticks.
19:15It is also interesting that there is no group on the mathematics side because the mathematicians seem to be the ones that are most at odds with OpenAI on this sort of thing. Yeah, yeah. So I think the credit and the recognition, that's good to see from OpenAI, at least. I appreciate seeing that. I wonder how, you know, do they see that as like being given a bone? It's kind of like, no, I wanted to get there start to finish. And this is just like you're offering me a little concession here. And that doesn't speak to my deeper kind of drive or my deeper ambition in being the person who I am in this field.
19:53And I think that's a large part of what we've been hearing related to these stories. Now, granted, we're not hearing much about it immediately. But you know it's happening behind the scenes where, you know, there's so much conversation around, oh, AI is taking jobs and AI is going to massively change the landscape of what it takes to be this person or that person in a professional industry or whatever. Mathematics is one area that's coming up more and more in that discussion. these people who have devoted their lives around these legacy problems, like decades even, and they're working on them.
20:25And then suddenly these models come along or someone enters in a prompt, an open AI researcher or whatever, and boop, here's like 500 of them in various degrees of solve or not. And now you've got an existential crisis around what it means to be, in this case, a mathematician, let's say, as one example, is the point to solve the problem, or is the point for humans to solve the problem? And I think that's what's happening a lot when things like this happen. That's what's happening behind the scenes right now. It's very existential. It is not lost on me the irony that mathematics, a discipline that literally includes logic, is having such an emotional response to all of this.
21:10Because from a purely unemotional. I'm not even going to say logical, because for mathematicians, that means something very precise. But from an unemotional standpoint, the result is what matters. If the proof is accurate and it advances the discipline, then there shouldn't be anything wrong with it. But I think what mathematicians are pointing out is, yeah, but that's too easy, and you're losing sight of the side benefits of doing the work. Just like when you're in math classes in high school and they said, show your work to prove you understood how you get there. There's a little bit of like, yeah, but if the model puts out a proof, I don't necessarily understand how it got there.
21:50And it's valuable to understand that. And I think that's what OpenA is trying to do with these groups is to say, ah, that makes sense. Let's make the understanding of the proof the important part. Then the physicists and the computer scientists involved are the ones who should get the credit for being able to explain, yes, this proof works and here's why, and it brings them along. I don't know if the mathematicians who are at odds with open AI are going to accept that or not, but it does seem like in this particular case, these physicists and computer scientists have. Yeah. Yeah. I mean, at the end of the day, as people often say, myself included, AI is a tool.
22:31It is a tool that can be used many different ways. It's such a tool, AI. You know, in the same way that a calculator is a tool, right? And a calculator moved mathematics to a certain degree beyond where it was prior to that. It made the whole lot of things a lot easier, faster. You know, I'm sure by the perspective of the time, it was, you know, more of like, for lack of a better way to put it, like a brain-dead approach to use a calculator versus doing it long form. So there's a little bit of similarity between those two arguments. I'll be curious to see if and when, at what point, some of the mathematicians, like the new age of mathematicians, embrace this and suddenly become supercharged or superpowered because of it.
23:10You know what I mean? Yeah, I do. It is not even just that it's a tool, because we're not talking about slop. We're not talking about, like, well, they put out a bunch of mathematical proofs. How good are they? They are good. The mathematicians aren't even disputing that part of it so much anymore. What they're saying is this isn't necessarily the proper way to go about making discoveries. And there's going to be a long conversation around that. A group called the Coalition for Language Equity and AI Research, which is a long name for a couple of companies getting together, Canva language software company called Lilit.
23:53I don't mean it's bad. I don't like it when you try to hide your thing behind something that sounds like something else. These companies, though, are looking into large language models and their effect on language itself and published a study showing that large language models require more tokens for some languages than other. Here's an example they use in their study. People should benefit from AI regardless of the language they speak. Let's take that sentence. People should benefit from AI regardless of the language they speak. It's 69 characters long in English. If you were to translate it to Malayalam, it is 66 characters long.
24:30But in the OpenAI tokenizer, the English sentence takes 13 tokens to represent, because you can almost do a token per word. While the Malayalam one needs 26 tokens, exactly twice as many tokens, even though it's three characters shorter. And so they did a study and found for the 20 most popular languages, the ones spoken the most, the most expensive language used between one and a half to five times the tokens of the cheapest one, depending on which model they were testing. When you expand that to 200 languages, which isn't even all the languages, but, you know, saying let's use most of the languages, the gap was 17 times at the largest, more expensive in tokens for the most expensive language versus the cheapest language.
25:16The increase in tokens doesn't just affect cost. It also affects the context window. So if you have more tokens representing the words and the ideas, the memory is still the same window. That means you could have higher latency as it tries to go back and reconstruct context. And you might even just get lower quality responses because it can't. Restofworld.org mentions a project called ReSpin, which has been funded by the Gates Foundation, that aims to collect text from native speakers of 38 Indian dialects, along with red speech, to help improve models in those particular languages. And they also advocate that tokenizers need to be trained on alternative scripts as well.
25:57And when I say that, I mean like alphabets, like Hangul and Hanja and all the other variants of that, because there is a little bit of a leg up to interpret Spanish because it's using the Roman alphabet versus other languages that don't. Yeah, this story is really interesting to me because it made me immediately think of something that I've been hearing for quite a while, which is just this idea that artificial intelligence as a vast technology, when you have access to these tools, you can do these very impactful things. And that can enable, let's say, developing countries to kind of leapfrog a little bit because they have access to these amazing tools, just like everybody else, right?
26:39So it gives them more power. And then we talk about a story like this, and it's like, well, that might be true, except for the fact that it actually costs twice as much. Or I don't know what that number is. Maybe it's not twice as much. I mean, if you're in Nigeria and you speak English, maybe you're fine. But yeah. Maybe you're fine. Right. And it really just kind of proves that a lot of these models are very localized around English. And, you know, I mean, there are certain reasons for that, right? English is a very widely adopted language, considered by many to be anyways. And so, but it does create a little bit of an imbalance, a large bit of an imbalance, actually, by comparison.
27:15Yeah, and the Rest of World article pointed out, you know, when they were talking to this group that did the study, that they don't expect there to be equity, that every language will be just the same amount of tokens. But they do think that the model makers should have this as a benchmark to try to reduce that gap so that it's not as material of a disadvantage when you're in other languages. And granted, some languages are more common than others. There are French-speaking areas of Africa that are going to be a little behind the English-speaking areas on this. So if you can bring French up to speed, that helps a lot of areas.
27:54And then when you start to get into rural areas or areas where there isn't a lot of second language speaking or any kind of, you know, holdover language from an occupation like Mandarin or French or something like that, then you want to be able to help those people, too, with tools. And that's where the rest of the 200 languages come in. Yeah. Fascinating. That's a great story. New versions, we're going to go back to Apple for just a little smidge. We gave you a little bit of break. Yeah, it gave you a little bit of a break. New versions of Apple Creator Studio have been released. They use a combination of Apple Intelligence and models from OpenAI to add features.
28:33This includes Final Cut Pro, Logic Pro, and the iWork productivity suite. And the biggest headline, what a lot of people are talking about, is in the Final Cut Pro, getting motion VFX. So you can access the content hub within FCP to get Apple curated stock videos and images, all sorts of animation templates and different stuff like that. Pixelmator Pro gets new fill capabilities to reimagine any part of an image. But the LLM-powered assistant tools are coming to Logic Pro, Keynote, Pages, and Numbers. The assistant can understand document context, and they get the model context protocol, MCP, which helps agents use them and tap into them.
29:15Apple Creator Studio costs$12.99, so$13 a month. Yeah, so many interesting parts of this story. Apple finally bringing a chat assistant into its docks, which is something Microsoft has had for a long time, as have a lot of other productivity software like from Adobe and all of that. And it's OpenAI based, a company that Apple is currently suing for stealing trade secrets. So, again, this...
29:45...thropomorphize companies because they could be suing each other in one hand, but also cooperating in others because they're big companies and not every single person that works at each company hates each other. Yeah, true. They could be like, yeah, we don't want you to steal trade secrets, but we would like to work with you on pages, keynotes, and numbers. So bring you in there. But also interesting that Apple didn't feel it was necessary to use this as an excuse to raise the price. So$12.99 a month remains. Yeah, that's great. And I love seeing the MCP, the Model Context Protocol, inclusion there.
30:19I've actually been playing a lot in recent weeks with ChatGPT tied directly into my Adobe Photoshop and been just testing a lot of different things there. And it's opening up a ton of new pathways. And so it really is a really cool unlock for software like what Apple has here to do a lot of really cool things. So I love to see it. Well, folks, it is free preview week. If you're following our Patreon at the free level, everything we're offering this week is available to everybody. That means your bonus episodes, your on-demand episodes of the lives, editor's desk and more. If you're not following us on Patreon and you want to try it yourself, just sign up as a free patron.
30:59And if you want to keep the good stuff coming, there is a 50 % discount for the entry level. I'm calling it Half-tober. Sign up for free and maybe get half off at patreon.com slash D-T-N-S.
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32:24now some quick headlines that are just good to know and i'm not even going to say mike they will make you look smarter in the future 99.99 percent guaranteed we'd had to give ourselves just a little bit of just a little there yeah anduril uh unveiled a new product line called blue chip it uses qualcomm processors and it's assembled at anduril's factory in ohio the laptops will be marketed to critical industries, including government, defense, first responders, and public safety. Thanks, R.W. Nash, for noting this one on our subreddit. Microsoft has patched a major security flaw in Authenticator for Android.
33:04An attacker could have impersonated a Microsoft first-party app to steal your credentials. The app version published on September 8th includes the fix. So if you have that one, you're fine. Otherwise, make sure you get that one. Apple released iOS 27.2 with Apple Pencil support for the iPhone Duo, expanded language support for Siri AI, that is French, Japanese, Korean, Portuguese, and Spanish, and most crucially, the new black and white Apple Music logo, right? Apple also backported September security patches for older iPhones, going back to the iPhone XS and older iPads as well. Oh, nicely done.
33:46Lest you think the reports of Apple reducing parts orders for the iPhone 18 meant it wasn't selling well, CounterPoint Research estimates that iPhone 18 Pro sales in the first three weeks after launch were 3.1 % higher than the iPhone 17 Pro sales in the same period last year. Most of that came from China having a rebound in buying Apple products. For example, sales in the U.S. and Japan fell 4 % and 27 % respectively. So almost all of that is because people in China started buying iPhones again. Browser maker Opera introduced a new web standard called WebAI. It's meant to make it easy to run open-weight models in the browser without needing a cloud connection.
34:29The feature has been released in the early preview of the Opera 1 browser. A homebrew emulator called PS5X2 uses the PCSX2 emulator to let you run PS2 games on your PS5. Has 4K upscaling, widescreen support, 60 frames per second, patches, HD texture packs, and PS2 games that weren't on CD-ROM. In other words, they're on a DVD or a Blu-ray, can work. You just put them in and it works. You do have to jailbreak your PlayStation, though. That means you can no longer update the firmware without patching the vulnerability that let the jailbreak work. So this may not be for everyone. Maybe it's better to just emulate it on your PC.
35:11But you know what? You can do it. So it's kind of fun. Choose your path. Choose your path and then stick to it. And then one more tidbit from Anthropik's massive S1 IPO filing that became public yesterday. Anthropik has more than 11 ,900 customers spending$100 ,000 a year. 19, is that right? That's not right. $100 ,000 a year? Is that right? Is it$100 a year or$100 ,000? $100 ,000 a year. That is correct. Sorry, I had to do a double take on that one. That's crazy. 1 ,900 customers spending more than$1 million a year and about 250 customers spending more than$10 million a year. I'm glad you had that reaction because I think one of the reasons I wanted us to talk about this is it underlines the fact that they are not making most of their money from you paying$20 a month.
36:04They are making their money from people who are at the enterprise level paying per token. And you've got, yeah, you've got a lot of clients. Maybe customers makes you think individuals, and we should be talking about organizations. But yeah, you have a lot of their clients spending$100 ,000 a year or more. And$250 ,000 spending$10 million a year on this. crazy yeah i definitely had a double take there uh we end every episode of dtns with some shared perspectives today howard has a follow-up to my talk with rich over the weekend about modding music technology yeah so howard wrote i was actually going to write in about a project for one of the most popular modular synth units mutable instruments plates uh the projects called plates palette adds a nice web-based front end to the process of making custom firmware for the module i'm curious if we're going to see more meta tools that allow more community contributions without all the potential risk of rendering your expensive electronics into plastic bricks and if you do a follow-up with modular synths tag me in says yeah i'm looking at the web page for the the plates uh thing and it it looks like it was created with uh with quad for sure it's got It's got a lot of the design tells, but that is so cool.
37:22I mean, I love this whole trend. If you didn't catch the interview, definitely check it out from last weekend. Rich and I are actually already chatting about follow-up. We will be talking at some point, probably in the next month, about modular synths and Eurorack specifically, which is one avenue that you go down when you talk about that topic. So look out for that. Fantastic. That is great stuff. I love it when people share their expertise, like you and Rich and Howard. Yeah, I love getting the opportunity to talk about music, music technology, because it's not something that comes up very often.
37:55So what are you thinking about? If you have insight into a story, share it with us. Feedback at DailyTechNewsShow.com. Yeah, thanks again to Howard for contributing to today's show. Thank you for being along for Daily Tech News Show. Yeah, I'm talking to you. You there walking your dog or driving to work or sitting on your couch. You're the folks who keep us in business. Get that half off if you're not already a patron, too, at Patreon.com slash DTMS. The DTNS family of podcasts. Helping each other understand. Diamond Club hopes you have enjoyed this program. Behind you.
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OpenAI won’t stop releasing science and why LLMs are more expensive if you don’t speak English.
Starring Tom Merritt and Jason Howell
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