[0:58] Intro ft. "slow news day" [1:56] Topic #1: EVGA leaves the GPU market. > 4:20 EVGA's sales revenue, > 5:52 No plans to work with AMD or Intel. > 7:11 NVIDIA controlling prices & projects. > 9:12 CEO claims no employees to be laid off. > 10:44 NVIDIA's shady history, Linus's notes. > 18:24 Advantages of NVIDIA having many AIBs. > 21:08 Discussing EVGA's move & products > 22:40 Linus called it 12 years ago. > 24:05 Reading EVGA's quote, NVIDIA the bully. > 28:02 Recalling NVIDIA blocking Hardware Unboxed. > 34:42 More of NVIDIA's shady history. > 42:22 NVIDIA is hard to work with, RIP EVGA. > 46:22 With EVGA GPUs gone, which AIB to buy from? [47:18] Topic #2: Etherium merger was a success. > 49:02 ETH & BTC price drop, ETH's CEO quote. > 49:52 White House's framework on regulating crypto. [51:18] Topic #3: NVIDIA leaks, tightening stock. > 53:21 Leaked specifications of RTX 4xxx. > 54:10 Excitement towards the GPUs, modded Cyperpunk. [55:32] LTTStore myshopify test, 64oz bottles. > 1:02:32 New waffle long-sleeve colors. [1:03:36] Sponsors. > 1:03:55 KIOXIA's CM7 series NVME SSD. > 1:05:12 Squarespace site builder. > 1:06:40 Secretlab chairs. [1:07:24] Discussing LTX2023 floorplan. [1:08:20] Topic #4: Result of Linus-Dennis fight. > 1:09:22 Dennis spent a month training, Linus's leg injury. [1:13:30] Topic #5: Stray cats update. [1:17:53] Topic #6: Google experiments with ads. > 1:18:52 Up to 10 ads, discussing midrolls. > 1:21:08 Ads impact on Google. [1:25:08] Merch Messages #1. > 1:25:43 UniFiDream Machine V.S. PfSense. > 1:26:30 Steam Deck & streaming as a setup. > 1:27:40 Quadro works on Linux, not Windows. > 1:28:36 SC pants for hoodie idea. > 1:28:55 LTT's apocalypse PC, mesh filter. > 1:34:52 Best water blocks for watercooling. > 1:38:01 Would EVGA move to Intel or AMD? > 1:39:38 Linus's pet goat story. [1:42:25] Topic #7: Amazon sells dangerous cords. > 1:46:02 Difference between defects & dangerous. > 1:47:04 "Water-proof", misleading specs. > 1:50:07 Power cords, discussing Labs size. [1:52:23] Topic #8: Sponsoring a "part" of a video. [1:57:11] Topic #9: Intel "rebrands" low-end laptop CPUs. [1:59:36] Merch Messages #2. > 1:59:58 Linus's plans for the PVC pipes. > 2:00:39 Internet to a detached garage. > 2:01:58 Getting your SO tech-savvy. > 2:03:01 3D printers & other round-ups. > 2:04:32 Second monitor effects on a PC. > 2:05:58 Worst tech purchasing experience? > 2:08:31 Updates on the WAG hoodie. > 2:09:36 Shameless fanboying for companies. > 2:12:42 Proudest gamer dad moment. > 2:14:28 Camera-focus for backpack. > 2:15:42 Measuring performance for benchmarks. > 2:17:35 Linus's favorite pony. > 2:18:18 What to look for in a riser cable. > 2:19:10 Recommendations for rackets below 50. > 2:20:09 Sequential invoice numbers for FP. > 2:20:45 Stealth desk pad, exciting data science. > 2:22:07 Favorite musicians. > 2:23:33 Rackmount PC with Sliger. > 2:24:14 Balancing life & hobbies as a dad. > 2:25:32 Plans for LTT screwdriver colors. > 2:27:15 Raising tech-savvy kid without being tech dependent. > 2:27:50 Using LTT screwdriver underwater. > 2:29:18 RTX 4000 V.S. AMD's 7000 series. > 2:30:17 Wire management product, Luke's favorite LTT product. > 2:30:48 Prediction on the 4000 series stock. > 2:31:15 Why don't PSUs have standard cables? > 2:32:00 Hobbies Linus & Luke want to get into. > 2:33:54 Star Wars, Star Trek or Stargate? > 2:35:18 GPU market, 1080Ti upgrade. > 2:35:48 PSU brand recommendations. > 2:36:10 Best cable for next-room PC. > 2:36:32 Vancouver's real estate prices. > 2:39:12 Why Apple dropped NVIDIA. > 2:40:14 Userbase model for ad partners. > 2:41:26 Breakdown of screwdriver shafts. [2:42:38] Outro. [Cont.] Merch Messages #2. > 2:43:02 Any other collabs?
As principais notícias de tecnologia desta segunda-feira são as seguintes: vazaram detalhes sobre a câmera de 200 MP do Galaxy S23 Ultra, o modelo mais avançado das CPUs de 13ª geração da Intel deve ter um desempenho recorde, a empresa-mãe da Google foi à falência na Rússia e o iOS 16 está oficialmente entre nós!
In this episode of Rambling On, we discuss AMD's latest generation of CPUs and Apple's Far Out event. Tom also swears at his siri.Website: https://bluetale.media/burridgeandtomCommunity Forums: https://community.bluetale.mediaMerch: https://store.bluetale.mediaTwitter: https://twitter.com/burridgeandtom Hosted on Acast. See acast.com/privacy for more information.
In der heutigen Ausgabe des Podkasts sprechen wir ausgiebig über unsere persönlichen Erfahrungen der vergangenen Wochen. Den Anfang macht die iPhone-Kaufentscheidung und eine YouTube-Empfehlung, gefolgt von einem ersten Test des Steam Decks, sowie Saints Row. Zum Schluss sprechen wir noch über die NAS-Migration zu TrueNAS Scale. Im News-Segment geht es primär um die neue AMD Plattform und die darauf aufbauenden CPUs, sowie die Apple Keynote und die neue Apple Watch Ultra. Kleinere News zum Internet in Deutschland, HP, Hyundai, Twitter, LastPass und Österreich haben wir außerdem auch noch mit dabei.
On this week's episode of the podcast, I cover some of the highlights from Apple's iPhone 14 announcements, info on some Windows Devices with new CPUs suffering data damage, a tease of a possible U-turn by Microsoft on M365 app support for Windows Server 2022. Reference Links: https://www.rorymon.com/blog/episode-246-devices-with-newest-cpus-suffered-data-damage-m365-app-support-for-server-2022-intune-linux-management/
Today, we're breaking down a global semiconductor company known as AMD. AMD isn't the biggest and hasn't always been the best chip maker in the world. But as cyclical and structural changes take place in the semiconductor industry, AMD serves as a great proxy for what's going on and why. To break down the details, both behind the company and the industry, I'm joined by Jay Goldberg, a semiconductor industry consultant at D2D Advisory and Partner at Snowcloud Capital. We explore the rise of custom silicon, AMD's competition with Intel and Nvidia, and whether or not chip making is a good business at all. Please enjoy this breakdown of AMD. For the full show notes, transcript, and links to the best content to learn more, check out the episode page here. ----- This episode is brought to you by Tegus. Tegus is the new digital hub for market intelligence. The Tegus platform empowers Investors and Corporate Development teams to invest smarter by pairing best-in-class technology with the highest quality user-generated content and data. Find out why a majority of the top firms are using Tegus on a daily basis. If you're ready to go deeper on any company and you appreciate the value of primary research, head to tegus.co/breakdowns for a free trial. —-- This episode is brought to you by Kensho Scribe. Scribe powers call transcription, closed captioning and more with best-in-class accuracy, speed and security. It's the chosen transcription service for all of S&P Global, including CapIQ Pro, and clients like leading market intelligence platform, Tegus. Scribe accurately transcribes messy, difficult audio including company and product names, currencies, accents and numbers. Challenge us with your hardest audio and see how we stack up! Visit scribefreetrial.com to unlock 150 minutes of free transcription today. —-- Business Breakdowns is a property of Colossus, LLC. For more episodes of Business Breakdowns, visit joincolossus.com/episodes. Stay up to date on all our podcasts by signing up to Colossus Weekly, our quick dive every Sunday highlighting the top business and investing concepts from our podcasts and the best of what we read that week. Sign up here. Follow us on Twitter: @JoinColossus | @patrick_oshag | @jspujji | @zbfuss | @ReustleMatt Show Notes [00:02:27] - [First question] - Where to start when it comes to understanding semiconductors [00:04:21] - Why semiconductors were created in the first place [00:04:57] - Key milestones and players in the semiconductor industry [00:07:35] - What are the factors that determine who wins and loses [00:08:37] - The semiconductor industry map today writ large [00:12:05] - How the changing geopolitical landscape affects power in this sector [00:14:15] - Why we can't just throw unlimited money at this problem to solve it [00:15:30] - Whether or not chip businesses are actually defensible and good businesses [00:17:37] - Differences between CPUs and GPUs and how everything we do uses them [00:22:56] - AMD's history with CPUs and GPUs and how they've evolved over time [00:26:55] - Why there is such a high barrier to enter and disrupt the chip design market [00:31:54] - A future where we transition to specific and specialized use-case chips [00:35:36] - Companies like Google and Apple building their own in-house chips [00:38:55] - Other industries where this dynamic exists outside of semiconductors [00:41:57] - The scope and economics of AMD today [00:44:26] - What's important to know about AMD and Intel's capital allocation strategies [00:47:28] - What he'd focus on if he was the capital allocator for a big chip company [00:48:55] - One major lesson that this industry has taught him about investing [00:50:28] - Major lessons about AMD and the world writ large that isn't addressed yet
Novan Parmonangan Simanjuntak, Head of Machine Learning and Artificial Intelligence Strategy at GLAIR joins host Jake Smith to discuss how GLAIR worked with Intel to optimize deep learning and inference for their computer vision solution. Novan talks about how the GLAIR crowd detection system is optimized for the Intel OpenVINO toolkit and ONNX Runtime enabling GLAIR to achieve a significant improvement in throughput. He also highlights how their solution runs on CPUs, helping their clients avoid using costly GPUs for their computer vision workloads. Novan discusses how this performance optimization can also be applied to many other different workloads to benefit customer of all kinds. Lastly, he and Jake talk about how AI models in the future will be able to solve any type of problem. Novan feels that as AI is democratized, it will become more ubiquitous throughout our lives and continue to drive transformation throughout the world. For more information, visit: https://glair.ai/ Follow Jake on Twitter at: https://twitter.com/jakesmithintel
Stable Diffusion está creando una eclosión de creatividad y programación / Lexica·art es increíble / Drama por una devolución millonaria de Crypto·com / Twitter prueba la edición de mensajes / Amazon pondrá taquillas en comisarías
Pleb Miner Redux – What is a Bitcoin Miner. The month of September is dedicated to pleb miners who will not unplug nor comply. The backbone of the bitcoin network, dedicated to decentralisation and freedom. To kick things off @JonPDiGiacomo explains - what is a pleb miner…… “Who and What is a Pleb Miner” The original Bitcoin miner, Satoshi Nakamoto mined the Genesis Block with a reward of 50 Bitcoin, Bitcoin that can't be spent as the Genesis Block is hardcoded into new nodes as the root of the blockchain. The signature of his mining was later analyzed by Sergio Lerner. He dubbed Satoshi's miner as Patoshi and its signature as the “Patoshi Pattern”. The technique that Lerner used determined that Patoshi hashed a different set range of nonces. This behavior created a unique saw pattern in nonce data analysis. It's estimated that he had up to 48 CPUs mining with another controlling the operation and/or on standby to protect against a 51% attack. Satoshi mined solo until he invited Hal Finney and Martti Malmi to join the network. Famously on January 10, 2009, at 10:33 PM, Hal Finney was “Runnin' Bitcoin”. Soon others joined in. It's fascinating to look back at those first blocks: difficulty of 1, block reward 50 BTC, the delicate balance of the 10-minute mark not quite there yet. In reviewing this short Bitcoin history lesson, we bring light to the fact that Satoshi wasn't running a giant mining operation with a cool name, a board with multiple investors, and billions in capital expenditures. He was possibly a guy in his basement or garage that he considered his lab. He shared the code with associates he knew online. Their goal was to discover blocks and secure the network. He mined because he was passionate about the innovation that he built. He was the original miner, he was a Pleb Miner. Sometime in May of 2010, Satoshi turned off the Patoshi miner, confident that he had passed the torch on to the next generation of miners…….. Link to full article bellow. Link to article - https://ungovernablemisfits.com/pleb-miner-redux-what-is-a-bitcoin-miner/ Show guest twitter - @JonPDiGiacomo twitter - @MaxBitbuybit twitter - @bitbuybitpod Website - https://ungovernablemisfits.com As always please feel free to reach out and ask me any questions. Today you can exchange $1 for 5021 Sats (Sale ends soon.) Thank you Foundation Devices for sponsoring the show. Use code BITBUYBIT at check out for $10 off your purchase
Dell Technologies is introducing new infrastructure solutions, co-engineered with VMware, that deliver greater automation and performance for organizations embracing multicloud and edge strategies. “Customers tell us they want help simplifying their multicloud and edge strategies as they look to drive more efficiency and performance from their IT,” said Jeff Boudreau, president, of Dell Technologies Infrastructure Solutions Group. “Dell Technologies and VMware have numerous joint engineering initiatives spanning core IT areas such as multicloud, edge and security to help our customers more easily manage and gain value from their data.” Business data and applications continue to grow in multicloud environments comprised of edge locations, public clouds and on-premises IT. Many organizations have already adopted a multicloud approach, and the number of applications running at the edge will grow 800% by 2024. “IDC's global research shows many organizations are struggling to balance the rapidly rising complexity and cost of data centre, edge and cloud operations with relentless business demand for better data integration, security and application performance,” notes Mary Johnston Turner, IDC research vice president, future of digital infrastructure agenda. “These organizations recognize the need for a consistent operating model tightly integrated with infrastructure platforms that support sophisticated, large scale data-driven workloads.” Dell VxRail delivers greater performance and smallest-ever systems at the edge Dell is introducing several new VxRail systems and software advancements that improve performance on-premises and at the edge including the industry's only jointly engineered HCI-based DPU solution with VMware. Improved system performance: A result of co-engineering with VMware and its Project Monterey initiative, VxRail systems support new VMware vSphere 8 software that has been rearchitected to run on DPUs. Customers can improve application and networking infrastructure performance and improve TCO by moving these services from a system's CPU to its new onboard DPU. Support demanding workloads: Select VxRail systems now support VMware's new vSAN Enterprise Storage Architecture (ESA). With up to 4x vSAN performance improvement, customers can better support demanding mission-critical applications. Smallest edge systems: VxRail rugged modular nodes deliver high performance and scalability in the system's smallest form factor to date. Modular nodes are ideal for edge use cases including healthcare, energy and utilities and digital cities because of VxRail's industry-first, on-board hardware witness, which allows for deployment in high latency, low bandwidth locations. “The increasing demand for software-defined infrastructure services for networking, storage and security places more demands on already-strained CPUs. As more distributed, resource-intensive applications are onboarded, there is a need to reimagine data centre architecture to fully support the requirements of these applications,” said Krish Prasad, senior vice president & general manager, Cloud Infrastructure Business Group, VMware. “Dell VxRail with VMware vSphere 8 will deliver a foundation for next-generation data centre architecture by running infrastructure services on the DPU. This will enable greater network and application performance and a new level of sophistication in adopting Zero Trust security strategies to protect modern enterprise workloads.” Dell APEX expands multicloud and edge support for VMware environments Dell is adding several offers to its APEX portfolio for VMware workloads that speed development of cloud-native apps and better allocate compute and storage resources for applications at the edge. APEX Cloud Services with VMware Cloud adds managed VMware Tanzu Kubernetes Grid services, which allows IT teams to help developers move faster by using a container-based approach to application development. With Dell-managed Tanzu servic...
A FFP interview with Stellate Software Engineer Stephan Schneider. Stephan is a Berlin based software engineer with a deep love for backend logic and a living example that attending meetups can help your career progression. He started working for Contentful after being on one of the meetups they hosted and stuck with them for many years, building and maintaining various APIs, including their GraphQL API from scratch. He later toured a few meetups to give back to the community by talking about the lessons learned - design decisions, developer experience and performance on scale - and ended up chatting with the Stellate team on one of those. Now he's an engineer for Stellate, doubling-down on what he loves to do: helping users with their backend APIs. Hear Stephan's perspective on: Getting into coding Love for hardware Overclocking CPUs Science experiments w/ kids Outdated university classes Leaving university First job and much more… We are currently hiring for a lot of new positions at Stellate. If you got interested in potentially working with us, please take a look at our hiring page.
Elon Musk’s attorneys subpoenaed Twitter whistleblower Mudge, the Federal Trade Commission filed the expected lawsuit against major data broker Kochava, and AMD announced details for the first wave of Ryzen 7000 CPUs. MP3 Please SUBSCRIBE HERE. You can get an ad-free feed of Daily Tech Headlines for $3 a month here. A special thanks toContinue reading "Elon Musk’s attorneys subpoenaed Twitter whistleblower Mudge – DTH"
It's Trash Time For Your Computer - Autonomous Car Crash Kills - Which is better for your car? Buttons or a Screen? - Now we have a Chip Backlog! - Facebook tracking Your Hospital Appointments Hey, you know, it is probably time to do an upgrade on that computer of yours to Windows 11. Or maybe you're going to move over to the Linux world. That's what I did with my older computer. It's running Linux now. Much faster, but there's more to it than that. [Automated transcript follows] I send out my newsletter, my insider show notes every Monday morning. [00:00:22] Usually sometimes it's Tuesday, sometimes it's Wednesday depends on the week. This week I was at a client site over the weekend, actually, and Monday and Tuesday. Down in Atlanta. So I, I was busy down there. This is a DOD subcontractor. They just ship parts, but they are required by CMMC these new regulations I've actually been around for a while now to really. [00:00:49] Keep an eye on their cybersecurity. And so of course they bring me in and my team cuz you know, that's what we do. But I told you that because of my newsletter this week, I got some comments from a few people that the cybersecurity section in my newsletter was two articles from 2015. And , they both pointed it out. [00:01:13] I think it's great that everybody's paying that much attention. I actually, there's a few people that notice that, and it was my fault for not explaining what I was trying to do. And, and that's because I was in a hotel room and I was getting ready to go to the client site and do. Dates fix a couple of things, check the seals on computers and you know, all of those sorts of maintenance things you have to do clean them out. [00:01:38] I brought down a, a little blower and stuff. They, they were amazingly clean cuz we put them in a special cabinet that has these big air filters on them and stuff. Anyhow, the two articles this week on cybersecurity in my newsletter. Well, this is even in the free newsletter. Talked about two different things. [00:01:57] Lenovo was installing software and laptops and they apparently have still kind of done that. This was some years ago, like how seven years ago now, I guess. And they were putting it on there and you had no control over it. Okay. It was a real problem. And then the other one was. About your hard drives and what NSA did for years in modifying the firmware on the hard disk drives of a number of computers, many computers out there. [00:02:32] And in both cases, Lenovo and the NSA, the national security agency put software on the computers so that even if you erased your computers, you would still. Have their software on it, they would reinstall itself and Lenovo has been caught again, doing that. Okay. So there there's articles out there talking about just all of the stuff they've been doing. [00:03:00] So here's what I want to propose to you guys. And I did not make. This clear in the newsletter. And for that, I apologize, I was in a hurry and that was my intention and it just had never happened. Not, but not being in a hurry was my intention. But I, I, I intended to explain this a little bit better and I did on the radio a little bit this week as well. [00:03:22] And I'm doing it right now. My intention is to let you know that for decades now, bad guys have been able to embed malware into parts of your computer. So instead of just the operating system where they might have a. Replaced some sort of a library file. And now when your machine boots up, it's going to pull it in from that library file or one of the many other ways, uh, they, they will go beneath your operating system. [00:03:57] So they'll put things in the boot blocks of your computer. And as we just mentioned here, they will put things in the hard drive itself, not on the blocks of the hard drive, but in the control. Of the hard drive right there on the hard drive's board motherboard, if you will, for the hard drive and they can make it persistent. [00:04:21] Now we've tried to get around some of these problems. Apple came up with the T2 chip and what the T2 chip does is really lock things down on your apple. And that's always a good thing, right? And the apple TTU chip keeps track of passwords and makes things bootable and everything else. And apple has also really kind of spun things out a little bit here with their TTU chip. [00:04:51] They had some security problems. Uh they're in all of the newer apple computers. In fact, the one I use a lot is an older computer that doesn't. That T2 chip in it, but what Microsoft has done now, and this isn't really Microsoft, it's really the hardware vendors. They have something called a TP. And this TPM is there for security. [00:05:16] It's the trusted platform module. You want the version two or better, uh, as they come out, right. Kind of keep it up to date. But the T2, this trusted platform module is kind of like the apple T2 chip. It is nowhere near as. Complete, if you will, as the apple T two chip is, and it's designed primarily for booting your computer, which is really kind of cool. [00:05:47] There's a cute article over a medium. And it's saying that the authors of professor bill Buchanan, the author of this article says, uh, the TPM chip in your computer is perhaps a forgotten device. It often sits there not doing much and never quite achieving its full potential. You bought the laptop because it had one, but you just can't find a use for it. [00:06:09] The chip itself is rather jealous of the applet two chip and which does so much more and where people actually buy the computer for the things it bring. Few people actually buy a computer, cuz it has a TPM, but lots of people buy a MacBook and an iPhone because it is trusted to look after your sensitive data. [00:06:29] And he's absolutely right about that stuff. Now I've got clients who have been buying servers and other computers and the T2 chip has been. Option for them. I think that's probably almost gone nowadays. It is probably added in by default. These things are pretty cheap, cuz again, they don't really do much, but they are now a part of it because of what Microsoft has done. [00:06:58] Microsoft has made it so that you pretty much have to have one of. T2 chip or TPM chips, I should say the TPM 2.0 cuz you know, it's gotta be as good as apples T2 the TPM 2.0, which is a crypto processor so that you can run windows 11. Now, I don't want you to think that having this TPM chip in your computer, all of a sudden makes it safe, but it does do a few things that are very, very. [00:07:28] First of all, it has a random number generator, which is super important when we're talking about encrypt. And that random number generator is used to generate keys that are used for your disc encryption and potentially other things. So if you are encrypting the disc on your windows machine, you are really moving ahead in a very big way, because now if your computer is stolen and it boots up, they won't be able. [00:07:57] At any of that data, it'll all look like random trash. If it's done its job. Right. And it can also of course store the user's password in the chip. It has some what's called persistent memory. I told you all of the stuff because of what I want to tell you next. All of this stuff from Lenovo, from the NSA over the years. [00:08:20] And, and of course the bad guys, whether it's Russia, China, it can be really anywhere. North. Korea's been big on this. Iran's been doing this sort of thing. Uh, All of those guys may well have had access to your computer in the past, if you have an older computer. And because some of this software, some of this malware is persistent. [00:08:44] And because windows now is, as I said, pretty much requiring one of these TPM chips, the TPM 2.0 were better is what you want. I think that it's time to seriously consider buying a new windows computer. Now we're working with a client right now that has an engineer who has been continually upgrading his windows computer since I don't know, windows XP days, I think. [00:09:13] And every time he gets a new computer, he just goes ahead and migrates everything over. Doesn't upgrade. Doesn't update to the newest operating system. And for him, anyways, life is good. Well, it ain't so good folks because he has all kinds of nastiness, little turds. If you will, that are hiding all around his computer. [00:09:37] The registry is going to be scattered with these things. Some of them probably installed by some form of malware over the years, his disc is gonna be cluttered, everything. So I'm saying right now, Get a new computer and go ahead and make sure you reinstall windows. That's the first thing we do. In fact, what we do for our clients. [00:10:01] We have a version of windows that we have updated stream updated, and we don't have any of that bloatware on it. That the manufacturers get their 10 bucks from the various offenders, you know, to put the Norton antivirus and all this other useless stuff on your computer. So by reinstalling, just the windows. [00:10:23] And of course, since it's windows, you gotta install all of the drivers for your computer, too. But by doing that, you're getting rid of all of the bloatware. And then what you wanna do is either copy or restore your files onto the new computer. And then when you're done with that install, Your applications, the newest versions of your applications. [00:10:48] And I can hear people right now complaining, cuz I hear this all of the time. My gosh, I've had that application for 10 years and you can't even get it anymore. Blah blah. You know what? You should not be using that application. You need to get the newest version, or if that vendor's out of business, you need to make sure that you go one more step, find a compatible vendor or whatever. [00:11:12] We have to stop using old computers and old software. Uh, there's options here, but seriously, consider this because of what's been happening to us for years. Hey, visit me online. Sign up for my newsletter, Craig Peter son.com. [00:11:31] Well, autonomous cars are on the road and there was an accident in Germany. We don't have all of the details yet, but it's really concerning. And it's about the anonymous cars. Yeah. Autonomous cars. And, uh, we gotta study out. I want to talk about as well. [00:11:48] There are various levels of autonomy, I guess. Yeah. [00:11:53] That's the right word in these autonomous vehicles that we have and that we're looking forward to level one is kind of the gold standard, right? That's where we want to get. That's where the cars don't even need a churn pedals, your tension, nothing. They just drive themselves. We're not there. And you probably guess that. [00:12:15] And then there's level two where you, the driver's supposed to pay attention, but the car's pretty much going to drive itself. Well, there is an article here from the associated press talking about what happened in Germany. And, uh, this is a few weeks back and this is the first time I've seen this article, but they're saying. [00:12:41] Test car with autonomous steering capability, veered into oncoming traffic in Germany, killing one person and seriously injuring nine others. A spokesman for police in the Southwestern town of Roy. Again said the electric BMW. Nine with five people on board, including a young child swerved out of its lane at abandoned the road, triggering a series of collisions involving four vehicles after brushing an oncoming search, the BMW hit a Mercedes Benz's van head on resulting in the death of a 33 year old passenger in that. [00:13:27] The 70 year old driver, the Cien lost control of her car and crashed into another vehicle with two people on board, pushing it off the road and causing it to burst into flame Ruly. Again, police spokesman, Michael Shaw said four rescue helicopters and dozens of firefighters. Responded to the incident and the injured were taken to several hospitals in the region. [00:13:55] They included the 43 year old driver of the BMW three adults aged 31 42 and 47 and an 18 month old child who were all in the test vehicle. The article goes on, uh, is the police said in a statement, the crash vehicle was an autonomous electric test car, whether it was being steered by the 43, 3 year old driver or not is a subject of investigation. [00:14:24] So this is called a level two driving assistance system. It's already incorporated in production vehicles today. They can support the driver on when the driver turns them on according to BMW with the level two vehicles, the driver. Always retains responsibility. In other words, if that car gets into an accident while you are behind the wheel and responsible for it, it's your fault. [00:14:54] So that solves the problem of whose insurance covers what doesn't it? Yeah, it, it does it. Pretty well, because it's your fault is kind of the bottom line. So we are in the process of investigating the exact circumstances of the crash. BMW said, of course we are in close contact with the authorities. It's it's concerning very concerning and I am not ready yet. [00:15:23] Autonomous vehicles. Now we've seen, and we've talked about on the show before a number of problems with some of these different vehicles from Tesla and others, and they are on the roads in many states right now, even in the Northeast, not just the Teslas, but these fully autonomous test vehicles. And. [00:15:43] There are a number of things to be concerned about here. For instance, how can an autonomous vehicle determine what to do when there's a police officer in the middle of the road or a flagman? Or obviously it really can't determine it because it can't make out. What's what, in fact we might remember, and I'm sure they've made some adjustments here over at Tesla, but a Tesla car went ahead and, uh, struck and I think killed a lady who was crossing the road with her bicycle. [00:16:20] I think she was walking it across when she was hit. So how can they. How can they tell the difference between a car that's wrapped and has someone's face on it, maybe a politician full body on the back of a box truck as an advertisement. How can it tell the difference between that and a person that might be standing there? [00:16:44] It, it gets to be a real problem. We're already seeing that some of these autonomous vehicles go directly rear end fire trucks stopped at the side of the road with their lights on police cars stopped at the side of the road with the lights on just completely rear end them. We're seeing that. So how about when it gets a little more difficult than a fire truck parked on the side of the road? [00:17:10] Now these cars, apparently autonomous steering and, uh, lane detection and correction, all that sort of stuff. These vehicles are looking at things and trying to determine, well, what should I do here? And oftentimes what they determine is, oh, well, okay. That's just something that's fixed at the side of the road. [00:17:30] Like, like a sign post, like a speed sign. When in fact it's not. So we've gotta solve that problem. It, it still isn't solved yet. What caused this car to steer directly into oncoming traffic and, and head first into a Mercedes van? I, I don't know. They don't know yet. Anyways. I'm sure they'll find out soon enough. [00:17:57] There are real questions here. And then I wanna take it to the next levels. If the car is in, let's say level one where it's full autonomous, even if it's not, even if it's a level two, like this car was, or is, uh, what happens when the car is either going to hit a pedestrian or go over a cliff or into a brick wall? [00:18:23] That's even better. Cuz the car might not know the cliff is there. What decision should the car make? What kind of ethics should it be? You know, executing here. Can it even make an ethical decision? And this is the trolley testing in case you're not familiar with the whole trolley test thing. It's, let's say you are. [00:18:47] A trolley operator, you're going down a hill and there is a fork in the tracks. And all you can do is select track set a or track set B you can't stop the trolley. You can't slow the trolley down in track. Set a there's a group of seniors walking across the tracks that you will hit. If you go down tracks at a tracks at B there's, some young kids playing on the. [00:19:16] And if you choose B, you're gonna kill the kids. So ethical dilemma here, who do you kill? Cuz that's what the whole trolley test is about. Look it up online. There's a lot of different variations of this, but what about the car? What decision should the car make? Should the car make the decision to protect you the driver, or should the car be making the decision to protect the pedestrian? [00:19:43] If it's going to protect the pedestrian by plowing into that brick wall and potentially killing the occupants of the car. How about when there is the decision of the old people or the young. There is a lot to solve here. And some of these companies, including Mercedes have come out already with their decisions, Mercedes said they will protect the occupants of the vehicle. [00:20:11] now when you're driving the car yourself, of course, you're making that decision in a, a split second, maybe something you thought about, maybe not, you might make a rational decision. You might not. It's, you know, it's hard to say. And you'll find these articles in my newsletter this week at, uh, Craig peterson.com. [00:20:32] If you're not on the newsletter list, you can sign up. It's absolutely free. This is the free newsletter and you can see all my insiders show notes every week. But it's an issue, isn't it? The car veering into traffic hitting another one head first. How about later on when it's completely autonomous, what should it do? [00:20:58] By now you've seen one of these new cars with that big screen right there in the center of the console. I've got a few problems with this, more than a few problems with you people, right. To quote Seinfeld. Yeah. Let's talk about it. [00:21:15] Right here, you know, it, it's very cool to have that display in the center of the car console. [00:21:21] One of the major reasons that the automotive manufacturers are putting that console right there in the center is because we are demanding, uh, the apple car play the Android car functions in order to have some really cool stuff, right. Where we can just run our. And have all of this, uh, wonderful information. [00:21:47] What I really like about it and Android auto and, uh, the apple car both provide this. What I really like is you can use the navigation system that you prefer, that you like, that you want that's in your. I have switched over to apple maps. Now I used to use ways. And before that I would use Google maps and way before that map quest and, and others, my wife could tell you some stories of us trying to use some of the very first generation GPS stuff, having a, a laptop in the car and then having. [00:22:25] Keep pup on the dashboard to try and pick up at least three satellites. And, and, uh, if you went off course at all, went the wrong way, took the wrong. It would just insist on bringing you back to where you were when you went off course, as opposed to taking you from where you are, to where you want to go, which they do nowadays. [00:22:47] But I like that. Right. And, and I like the new features that are always coming out in these apps that we run on our smartphone. I do not like the fact that the cars have navigation in them. Eh, some of them are pretty cool. They're nice. Like in our car, if you use the in-car navigation, it mutes the music or the radio, whatever is playing on the driver's side speaker there in the front of the car. [00:23:17] And then it gives the driver the direction. So everyone else can just keep listening to whatever they were listening to before on the radio, et. You I'll need features like that. But what I don't like is they wanna get six or 800 bucks out of us in order to get new maps in order to get new software for the mapping system. [00:23:38] When we can get things like apple maps for free. Where they're not even using our data against us, like Google does right Android. Uh, very, very nice. I, I really like them. And the apple maps now is really good. I don't know if you remember how bad it was when it first came out, but Steve jobs brought all of the mapping, senior management into a room and asked them what happened. [00:24:05] Why is it so bad? You might remember that it took some people in Australia. Way off the beaten track out in the middle of nowhere with no water, with no fuel and they could have died out there, you know, Australia, everything's out to kill you and they might well have died and they didn't, which is good news. [00:24:27] But even in the us, it was just messing up. It wasn't very good. Wasn't taking you always to the right place and certainly not the best route. Now it's just gotten amazingly good. Very, very good. So I can choose, right. If I still want to use ways I can use it. If I wanna use apple, I can use it. Google maps. [00:24:45] I can use it some third party. I can use it, but if I've got the stuff that's built into the car, I'm stuck with the stuff that's built into the car, and maybe I can pay to upgrade it. A lot of people have found recently, Hey, guess what? That two G data network went. And that means now that your remote control for your card doesn't work anymore, you might have found your navigation doesn't work anymore. [00:25:13] I remember I had a garment that got live traffic updates, but it was using FM carriers on FM radio stations. And many of them dumped that. guess what your garment's no good anymore. At least that part of it isn't any good and garment charging for map updates. And I don't blame 'em for this stuff. Right. [00:25:33] But I would prefer to have my own device to use. So that's part of the problem. In fact, that's indicative of what I see to be the very big problem with these new in car systems, because that display in the computer behind it. Isn't just handling your navigation. It's controlling your seat, heaters, the radio, the music you're listening to the lights, the dimming, the headlights, almost everything in the car goes through. [00:26:08] Infotainment system, right? Yeah. Figured out where I'm going next. Cuz that infotainment system just like the maps on my car right now is going to become out outdated. And then what are you gonna do? And when I say out outdated, I don't just mean, oh, well I want the new features. It might be that you want the new maps. [00:26:34] Yeah. But what happens when it breaks? This leads us to a study that happened here. A Swedish publication had performed a test. They took 11 new cars alongside an older car, a Volvo C 70 from 2005. Now that Volvo had buttons and knobs, buttons and knobs, I've always liked that. And those 11 new cars all had these wonderful infotainment systems, all in one touch screens in the center of the console. [00:27:11] They tested this whole thing and they timed how long it took people to perform a li list of tasks in each car. So they included things like turning on that seat. Heater, turning up the temperature inside the car, the frost, adjust the radio, reset the trip. Computer, turn off the screen. Dim the instruments. [00:27:35] The old Volvo was the clear winner. . Yeah, indeed. So according to this article in ours, Technica, the four tasks were handled within 10 seconds, flat using buttons and knobs in the Volvo. So in the amount of time it took them to do all of the tasks, the four tasks that they were given out of that selection here, I just read the car, drove a thousand. [00:28:06] At 68 miles per hour. Now most of these other cars with that wonderful infotainment system required twice as long, or even more to complete those same four tasks. So some 30 seconds. So you're talking about traveling two or 3000 feet while you're messing around with that display in the central console. [00:28:34] Looks cool. Isn't this the neatest thing ever, but the problem is you have to hunt and now before you say, oh, well, Craig, these people weren't familiar with that console. Well, yeah. Okay. I'll give you that. But what they did with this test is. They let all of the participants play with the cars systems before they started the tests. [00:28:57] In other words, they knew the menus, they knew where things were and it still took that time. See, what we're really talking about here is muscle memory, the ability for your car or for you to know your. so you can reach out and you can turn that volume knob. You might have to glance real quick to make sure you got the volume knob, but you don't have to hunt and Peck through menus. [00:29:26] I like that. So as you can tell, I am not all that hot on these new, all touch interfaces. BMW has an interesting solution to this and that is that I drive system that little knob people didn't like it at first, but you get used to it, right? So, you know, if you need to turn on the seat heater, you just press a knob up, up right down. [00:29:52] And then TA your seat heater and you get to adjust it right there. That is muscle memory as well. So we've got some work to do here. Uh, there are some decent systems out there in Acura, MDX Mazda, CX 50, neither one of them uses a touchscreen infiltration inform attainment system. So that's good. We'll see how it all goes. [00:30:18] Make sure you're on my newsletter. So you can read this article and more. Craig peterson.com. [00:30:26] We've had a chip shortage. I'm sure you've heard of it. And it's been a real problem for everybody from car manufacturers through PC makers. Well, now we're seeing a sudden downturn what's happening now. The Congress has funded it. [00:30:43] Hey, surprisingly enough. Congress comes along to fix the chip problem with the chip bill, billions of dollars, tens of billions actually being spent on our chip plants here to help the chip industry make more chips, cuz we need chips, chips, chips, right? [00:31:03] Well, ours Technica has a great little article. They're actually taking it from the financial time searched waters. Uh, I subscribe the France for times for quite a while, but I don't anymore. And they're talking about how we went from a boom economy when it came to chips, these microchips, everything from, uh, Intel corporation out through the manufacturers of some of these much more common chip styles nowadays, the arm chips and how this new. [00:31:38] That's supposed to, uh, boost production is coming at a point where, okay, first of all, these manufacturers put billions of dollars into building new plants here in the us of a. So that's a good thing. And then Congress comes along sometime after the fact and gives him tens of billions more. And by the way, managed, and this apparently was Senator Chuck, Schumer's doing managed to remove a provision in the bill that said that none of that money for chip. [00:32:13] Plants could be spent in China. So yeah, there you go. China, you get billions more from us, potentially here as we build chip plants over there. But now what do we find out? Well, a bit of a turn here, because there is now excess inventory. Dan Hutchinson, who is the chief executive V L S I research. Who's been really watching the whole chip cycle since 1980s came out and said, quote, I have never seen a time when we had excess inventory and. [00:32:46] We had shortages. Okay. So the immediate cause of this is a rapid buildup and inventory in the chip supply chain since early the year 2022 here. So compared to February, there are enough chips on hand to support about a month and a half of production. Global inventory levels jumped up even higher and then even higher in July to almost two months. [00:33:13] So that's been an issue. And then on top of it, PC sales have been tumbling. Smartphone demand has dropped, and those have been the main causes as consumers are slowing their spending. Why are they slowing spending? Because they don't have the money they used to have because of the non inflation that's have. [00:33:33] Right now. So we've kind of got all of these things happening and to top it all off, as I said, they're taking tens of billions of dollars of our tax money and, uh, going to be spending it on all of this. It's just absolutely amazing. But the suddenness of this turn, again, according to financial times has, was when Intel stunned wall street with news that its revenue in the last quarter had fallen 2.6 billion. [00:34:02] 15%, which of course was short of what they were expecting on wall street. There. This is really quite amazing. They took an inventory adjustment that only hits like once a decade and Vidia man. They are about to, uh, to really get hit too. I don't, I don't think I talked about this, but. They're the largest maker of these GPUs, these graphics, processing boards, and supplemental chips that are on motherboards. [00:34:32] And a lot of computers used a lot in video graphics, machine learning, and of course, mining of cryptocurrencies and they have seen it fall dramatically 44% fall in these GPUs that have been used for gaming. Bitcoin and, and mining and, and other of these cryptocurrencies and micron, one of the largest makers of memory chip said it's free cash flow was likely to turn negative in the next three months after averaging $1 billion in recent quarters. [00:35:11] Isn't that amazing? So all of these problems have been. Also throughout Asia last, uh, month here over the last month, the chief executive of Chinese ship maker, semiconductor manufacturing, international corporation, S I C said that demand had slowed from smartphone and other consumer electronics makers. [00:35:32] And some of these manufacturers, electronics makers have stopped orders all together. So guess what happens when you do that? Think about what happened with. Down right. That really spurred this whole thing on a month before Taiwan, semiconductor manufacturing company, TSMC, which is like the biggest guy out there for making many of the chips we depend upon said it was expecting an inventory correction that would last until late next year. [00:36:05] So this has been a very abrupt slide. Chip makers in the us are trying to manage this decline at the very moment. They're laying the ground for huge increase in production because of the tens of billions they have spent. Plus the $52 billion bill that was signed into law here. What a month or two ago? [00:36:30] Uh, government support provided by the chips act. So on the same day that Congress passed the law, Intel expected to be the biggest beneficiary of all of these government grants of our tax dollars, sliced 4 billion summits, capital spending plans for the rest of the year. Now isn't that? What happens every. [00:36:52] Really isn't it. What happens every time? For instance, the, uh, build back better plan renamed the inflation causation actor, I think is what they might have called it. Um, that particular bill. Put money in for you to buy an electrical car electric car, like four grand, eight grand kind of depends, uh, across the board. [00:37:14] So what electronic electric car makers do they increase their prices? Yes, indeed. Buy, you know, Six or eight grand as much as 12 grand. Right? Because now we got government money. We don't have to have you pay for it. So we're gonna take a bigger profit and that profit's gonna come from the tax dollars that were taken from you and from me and from the widow down the street, right. [00:37:40] Yeah. That's what happens every time? Why do we have this whole thing about the loans for people who went to college? Well, why is college so expensive? Well, it, it continued to go up as government started providing grants and started backing loans. Right? All of the stuff the government was doing was ultimately driving up the cost of your schooling. [00:38:05] Now they've driven up the. Of electric cars because of the money they put in. And because of the money that they've put in for the chips act the 52 billion to make chips that, Hey, we got a glut right now. Yeah. Um, guess what. The manufacturers of chips, the companies that were spending the money in order to create plants, more plants, more chip factories, fabrication plants have decided they're gonna cut their spending. [00:38:38] Why not? Because they're gonna get money from you at the point of a gun, right? That's exactly what's happening. Oh man. So for now, again, according to the financial times, most chip supply chain experts predict a relatively shallow downturn provided that the global economy is headed first off landing something that's obviously not guaranteed, but it has really left them scrambling, trying to figure out what happened here, because it just fell apart so quickly. [00:39:13] Gartner group, you might know them. They put together a lot of studies on a lot of different industries had been expecting the growth in chip sales this year to have from 2020 ones, 26%. So it took its forecast down further to 7% and is now predicting a 2.5% contraction in 2023. Isn't that something, um, the, the Philadelphia semiconductor index, if you are an investor, you've heard of that before, and that comprises the 30 largest us companies involved in, in chip design manufacturer and sale fell back almost 40% as a stock market corrected this year. [00:39:57] After rising threefold after the early lockdown stock market slump, because people were working from home, they couldn't go in to work. Peop the kids were home, people were buying computers so they could play games or get on a video conference with the office, et cetera. It has really, really changed. Oh, and I mentioned Nvidia and how Invidia's been. [00:40:23] Pretty badly. And you'll find this article by the way, in my newsletter that went out on, um, Monday. And if you don't get my free newsletter, definitely get it to just app to date. Craig, Peter son.com/subscribe. It's it's all worth doing, but within video here's what's happening. One of the biggest cryptocurrencies out there has decided that they don't want to be part of this. [00:40:52] Energy problem that we have, you know, some of these minors for various types of cryptocurrencies have actually bought power plants, old coal PLA powered power plants that the states don't wanna buy power from anymore because it's, it's coal. Right. Kohl's evil. But the private sector came in and said, okay, well, if we run our own power company and we put these GPU's and special purpose made mining equipment into the power plant, we can save a lot of money. [00:41:27] That's how much power they need every. A whole power plant to run some of these mining operations. And remember the way you mine, the cryptocurrencies. In most cases, you have to solve very complex mathematical problems to prove that you did the work. That was needed in order to then, um, be awarded that Bitcoin or whatever it was that you were mining. [00:41:54] So pretty much all of the major cryptocurrencies are looking at how can we move away from this model? Because in, in some cases, you know, we're talking about electrical consumption, just for mining cryptocurrencies that serve passes, some countries entire need for electricity. That's how bad it is. And supposedly here, we've got one of the major cryptocurrencies that is changing. [00:42:24] The entire way you do mining, if you will. Very, very big changes. So expect GPUs and companies like Nvidia that make them to go way down in value here over the coming months. Hey, visit me online. Craig peterson.com. Subscribe to my podcast and find me at YouTube. Take care. [00:42:50] If Facebook, isn't the only company doing this, but there's an article from the markup. They did a study and caught Facebook. This is absolutely crazy receiving sensitive medical information. We're gonna talk about that right now. [00:43:06] This is really concerning for a lot of people. And, and for good reason, frankly, I've been talking about this. [00:43:13] I, I think the first time I talked about it was over a decade ago and it has to do with what are called pixels. Now, marketers obviously want to show you ads and they want show you ads based on your interest. And frankly, as a consumer, if I'm looking for a new F one. I wouldn't mind seeing ads from competing car dealers or, you know, used car places, et cetera, to try and sell me that Ford truck. [00:43:43] It makes sense, right? If I'm looking for shoes, why not show me ads for shoes, but what happens when we start talking about the medical business about the legal business things get murky and people get very upset. You see the way these pixels work is you'll put a pixel, like for instance, a Facebook pixel. [00:44:06] If you go to Craig peterson.com, I've got this pixel on there from Facebook. And what it allows me to do now is retarget Facebook user. So you go to my site to go to a page on my site, and this is true for, uh, pretty much every website out there. And. I know that you went and you were looking for this, so I can retarget you in an ads. [00:44:28] I'll show you an ad. In other words, on Facebook now I've never actually done that ever. Uh, I I'm like the world's worst marketer, frankly. Uh, and, uh, but I do have that on there because it gives me some other numbers, statistics, and, and really helps you to understand how the website's being used, which I think makes a whole lot of sense. [00:44:49] So there are marketers that are using this for obvious reasons. Now, I think you understand what the pixel is. It is literally a little picture that is one pixel by one pixel, and it tends to blend in, I think even in most cases, now these pixels from different. Places like Facebook are actually transparent. [00:45:09] So you, you don't even see it on the page, but the idea is now they have a foothold on a website that doesn't belong to them. In this case, Facebook now has access to information about a website that you visited that has nothing to do with Facebook. okay. So that's the basics of how these pixels work and they're almost impossible to get rid of because in reality, many websites, mine included will even grab graphics from other websites just because you know, it it's, I'm quoting another article I pull in their graphic. [00:45:50] Of course. I'm gonna point to that other site. Why would I take that picture? Put it on my side. I don't own the rights to it. But if he'll let me that other website will, let me go ahead and show that graphic on my website, cuz there's ways to restrict it. If they don't want me doing that, they could stop me from doing it. [00:46:09] Then I I'm going to just go to the original website so they can get the credit for it's their property still. I'm not violating any copyright laws, et cetera. Does that make sense to. So what's the difference between the Facebook pixel and a picture I'm pulling from another random website? Well, the obvious thing is it's coming from a Facebook domain of some sort. [00:46:31] So, so there are ways to stop it, but there's just as many ways to get around stopping it, frankly. Well, Let's move on to something a little more sensitive. We have had problems that I reported on years ago of people going to an emergency room in a hospital. Now, when you're in that emergency room, your phone has GPS capabilities still. [00:46:57] It knows you went in the emergency entrance to the hospital and you are. Opening it up. Maybe you're looking around, maybe you're reading articles, maybe you're plotting your trip home using Google maps. You are being tracked depending on what apps you have on your phone. If you have an Android versus an iPhone, what you've enabled, what you haven't enabled. [00:47:20] Right? All of that sort of stuff. well, this now has become a problem because as I reported there have been people who went to the hospital, went to the emergency room and started seeing ads from what you might call ambulance, chasing lawyers. Have you been injured? Is it someone else's fault? Call me right now. [00:47:45] Do he cheat him in. if that sort of thing showed up on your phone, would you get a little upset, a little nervous saying, what are they doing, trying to cash in on, on my pain, maybe literal pain. And it's not as though those ads are just showing up while you are in the emergency room, because now they've tagged you. [00:48:06] They know that you are in that emergency room. So off they'll. They will go ahead and track you and send you ads even after you leave. Hey, I wanna remind you if you want to get this, uh, this week's list of articles. I, I put out every week, my insider show notes. It has become very popular. Thousands of people get that every week. [00:48:32] Go right now to Craig peterson.com. I'll also send out a little bit of training. I do that. I have special reports. I send out. I've got more stuff I'm doing, but you gotta be on the email list. Craig peterson.com to get on my free email list now. What's happened here now is markup went ahead and looked at Newsweek's top 100 hospitals in America. [00:48:56] They went to their websites and they found about a third of the hospitals using what's called the Meel. That is the Facebook pixels referring to earlier. So it sends a little bit of data. Whenever someone clicks a button to let's say, schedule a doctor's appoint. Why does it do that? Well, because the Facebook pixel is on the scheduling page. [00:49:24] Let's say there's scheduling page for oncology on the website. I guess who knows that you are going to see an oncologist? Facebook? Why? Well, because the hospital has put a Facebook tracking pixel on that page. So Facebook knows, Hey, he was on the oncologist page. Maybe he has cancer. I should start showing him ads from other hospitals and from cancer medications, et cetera. [00:49:51] Cetera, that is happen. Right now, 33 of these top 100 hospitals in America. Th these are the top 100, according to Newsweek's list. Have that information. Now that data is connected to your internet. Address. So it's kinda like your computer's mailing address and they can link that back to usually to a specific individual or to a household. [00:50:20] So now they have a receipt of the appointment request. that's gone to Facebook now. They don't have everything you filled out on the page or anything, you know, you added in your social security number, maybe other medical information. Facebook didn't get all of that, but they do know that you visited the hospital's website and which pages you visited on that website. [00:50:47] So markup went ahead and contacted these hospital. So, for example, John John's Hopkins hospital, they did find a Facebook pixel tracking on the appointment, scheduling page. They informed John's Hopkins of how that is a leak of personal information. And after being contacted by the markup, they did not remove the track. [00:51:18] also, by the way, when the markup reached out to them, the hospital did not respond UCLA Reagan medical center. They had of course a pixel and they did remove it from the scheduling page. Although they declined to comment, New York Presbyterian hospital, all these hospitals have that pixel and they did not remove it. [00:51:40] Northwestern Memorial hospital. Again, they got the tracking pixel did not remove it after they were informed about the security problems, duke university hospital, same thing. Most of these, by the way, did not respond to them. University of Pennsylvania, Houston Methodist hospital, the university of Chicago medical center. [00:52:02] Uh, the last two of those did remove the pixel. Uh, Scripps Memorial hospital out in LA JOA, California. There are many Brigham and women's Faulkner hospital. They were informed that they had the tracking picture pixel on the, on the, uh, scheduling page. They did not remove it, but you know, the time of this article, a Tufts medical center, same thing did not remove it, uh, out in Sanford in San Diego. [00:52:29] Same problem. John's Hopkins Bayview medical center, John Jefferson health, Thomas Jefferson university, hospitals, Loyola. These are big name hospitals. I'm looking at these that goes on and on sharp Memorial hospital, Henry Ford hospital. Uh, let's see some more, I'm trying to, oh, Massachusetts general hospital. [00:52:51] They did not have the tracking pixel Brigham in women's hospital, no tracking pixel on the scheduling page. So some of these hospitals were already doing it right. They re they recognized that putting this face. Pixel on may help them with some of the marketing and understanding the market a little better, which is what I do, but it's also giving personal information, personal health information to Facebook and Facebook's advertisers. [00:53:23] So they didn't put it on so good for them. Again, mass general Brigham and women's, uh, Sanford Mount Sinai, university of Michigan hospital and, and others, of course. So very good news there in general. Again, don't be worried about a pixel on just a random website because it probably is being used to help with stats to know what's being used on the website. [00:53:49] And maybe, maybe just maybe using it to send a little ad to you on Facebook later. Of course, you're listening to Craig Peter son. You can get my insider show notes for absolutely free. And my little mini trainings. Oh three to five minutes every firstname.lastname@example.org. Just sign up on the homepage. [00:54:14] You know, I've got it on my homeowner's policy. I have a special business policy for it. And it's something that you should seriously consider, but you need to understand first. So we're gonna talk about it. What is cyber insurance? Uh, that's what's up now? [00:54:31] Cyber insurance is something that many businesses have looked at, not all businesses have, which is kind of crazy. If you ask me according to the industry statistics right now, less than 1% market penetration for cyber insurance and is expected to. [00:54:52] Into a $20 billion industry by 2025. That is some serious money. So what is this cyber insurance? For instance, there's a rider on my home insurance for, for cyber insurance and I have special cyber insurance from a big company underwritten, but it is for anything that happens. In my business, that's related to cyber security and it also covers my clients because that's what we do for living is cyber security. [00:55:28] If they are following our guidelines. So it's pretty darn cool when you get right down to it, because these risks that we have in the digital world are really every. So if you're a large organization, if you're a small little enterprise, are you going to get hacked? You know, bottom line, anybody could potentially get hacked because the bad guys have gotten pretty good. [00:55:56] And most of us in business have gotten pretty lackadaisical because of all of this, but not everybody understands when we're talking about cyber insurance. What does cyber mean? Well, the idea is that cyber insurance is created to protect organizations and individuals against digital risks. So we're talking about things like ransonware malware fishing campaigns. [00:56:24] So for instance, I got a call just this week from a listener who again, had their operating account, emptied out, hate it. When that happens. And so they lost everything. They lost all of the money in the account and they're trying to get it back. I got an email this week and, uh, from a lady that I, there's not much I can do for her. [00:56:46] I pointed her in the right direction, but her father, I think it was, had his digital wallet of cryptocurrency completely emptied, completely stolen. Can you believe this sort of stuff, right? It's happening every day. You might have insurance that covers that, but you might not. Traditional insurance policies are only looking at physical risks, so they will take the physical risk things like damage to equipment, or maybe you have livestock or you have stock and inventory, a building different locations. [00:57:29] That's your standard stuff. But cyber insurance is to allow businesses to transfer the costs associated with recovery from the losses incurred when there's some form of cybersecurity breach. Now that's a pretty big deal. because the losses can be huge. It isn't just ransomware where maybe it, it costs you a million dollars in ransom payments. [00:57:58] Or if you're an individual, a retiree, maybe it only costs you 25,000 in ransom payments. And I know that's a lot, especially for retiree. But there is loss of reputation. There's loss of business, cuz you couldn't conduct business cuz you couldn't use your computers. Right? All of that sort of stuff. You got people that you have to bring in, you have to bring in a special team to try and recover your data. [00:58:23] Maybe try and figure out what had happened. Right. All of that sort of stuff. So be careful cyber insurance, a lot of people kind of mistake it for policy that pays off. Attackers to retrieve or unlock data. That's not what it's really for cyber insurance is something that allows you to, I guess the term in, in the industry is transfer risk when your online security controls fail and. [00:58:52] Basically all of them could fail. It, it, it depends, right? If you're a huge company, you can hire a bigger team for a security operation center, but at the same time, you also have more employees that are causing more problems. So look at it entirely business interruption, payments to experts to recover the data. [00:59:14] Compensation for bodily injuries, uh, depending obviously on the resulting damage and the particular policy and the rates are gonna vary based on the maturity of your cyber defenses. So this is something that I've been big on for a long time, the cyber security maturity CMMC and what that helps 'em to determine is. [00:59:39] What are your rates gonna be? So if you went out and you're just using the cable modem that they, that the, uh, company, your cable company provided for you, or you go to a big box retailer, and that's where you bought your firewall and switches, and you've got your wonderful little Lenovo PCs or Dows or whatever, and you're running, uh, Norton antivirus. [01:00:04] You are not well covered. You are not very mature from a cybersecurity standpoint. The other thing you need to be able to do is make sure you've got your asset management all in line, that you have policies and procedures in place for when things happen. You gotta have it all put together, but the average cyber insurance policy for a small to mid-size company in 2021 was about $1,600. [01:00:31] For $1 million in cyber liability coverage. Now that's not really bad at all. Now there are limits to what the provider will pay. They will often, if you do get nailed, They'll come in and double check that, everything that you said, all of those boxes that you checked when you were applying for your cyber security insurance, make sure you actually did all of them. [01:00:59] Okay. Yeah. Kind of a big deal. And you not only will they not pay out, if you didn't do everything that you said you were going to be. but the other problem is you might end up getting sued by. Okay. So expect a counter suit if you decide to soothe them. So don't lie on those fors people. Okay. All right. Um, cyber claims, unlike non-technical events, like again, a fire flood storm damage, the cyber insurance claim might be determined by means of attack and your ability or your effort to prevent it. [01:01:40] As I was saying, make sure you've got the checklist and this is something I think I, I should probably put a course together on to help you guys with, or maybe even a little bit of consulting for people. Let me know, just send an email to me, email@example.com. And uh, if you're interested in more info about cyber insurance, you can either look at this week's newsletter that you can. [01:02:04] By again, going to Craig peterson.com and a link to this particular article I'm looking at, or you can tell me, Hey, listen, I'd love a little course or little support, a little help. Okay. I think it makes a lot of sense. So does your business qualify for cyber insurance? Well, some do some don't, uh, you might not see yourself as a target. [01:02:27] For the bad guys, but I'll tell you, my 85 year old father was conned by some of these cyber attack guys. Okay. And he doesn't have much money. He, he's not the bank of, uh, England bank of America. None of these big banks or anything. Oh. Is a retiree living at home trying to make ends meet. So the same, thing's true for you as a business, you as an individual. [01:02:57] You are vulnerable most likely to a cyber attack, but you've got to really manage your risk posture. You gotta do things, right. So that's the bottom line there. That's what we try and help you do. But you can find information about this again, you can just email me, me, Craig peterson.com and ask for the info on cyber insurance, or if you're already a subscriber to my newsletter. [01:03:23] That went out Tuesday morning. So just check your mail. Maybe it's in the spam box from Tuesday morning and you'll find a lot more information linked right from there. Craig peterson.com stick around. We'll be right back. [01:03:41] There are a lot of complaints about how some of these cryptocurrencies are very non green using tons of energy. And now the prices are going down. We're seeing a number of really weird things happening. [01:03:57] Cryptocurrency, as you probably have heard, has taken a tumble. Now, some of the cryptocurrencies, particularly of course, someone you might know most is Bitcoin use a lot of computing power. [01:04:11] You see, what they're trying to do is basically solve a very complex mathematical problem. And in order to do that, they need a lot of computing. Now you can certainly run it on your little desktop computer, that program to compute those things. It's called mining. So you're mining for Bitcoin. You're, you're trying to solve these mathematical problems and there's a theoretical limit to how many Bitcoins could actually potentially be mind looking right now. [01:04:45] They're saying that circulating Bitcoin right now. Is about 19 million Bitcoin that are out there. And Bitcoin is worth about $20,000 right now, down from its huge, huge, huge high. That was, uh, more than two and a half times. What it's worth right now. So, how do you mind? Well, if you take that computer and you run the software, it's gonna do some mining and it is probably going to cost you more in electricity nowadays to mine. [01:05:21] One Bitcoin than that Bitcoin is worth. In fact, it certainly will cost you more. Now. That's why the people that are professional Bitcoin minors have taken a different tact and what they've done. Is they found places where they can get cheap electricity. For instance, Finland, where they're using geothermal produced electricity. [01:05:46] They're also using the cold air outside in order to cool down. The computers themselves as they're trying to compute this, but there's another thing that they've been doing. And that is well, how about we buy a coal plant? That's been shut down and that's happened. So they take that coal plant. They bring it back online. [01:06:08] They burn the coal, they produce electricity at a cheaper rate than they could buy it. but behind all of this is the computing power. And what miners found a long time ago is it's better to have thousands of compute units working on solving these problems than it is just having. I don't know how many CPUs are in your computer. [01:06:32] Four. Com, um, CPUs. How many? Well, I, how far can you get with those? Yeah, they're fast, but we need thousands of computers. So what they found is that GPU's graphical processing units. Kind of met their goals. You see a GPU is actually composed of thousands of computers, little compute units. Now they can't do real fancy math. [01:07:01] They can't do anything particularly fancy. They're really designed to move. Pixels around on a screen. In other words, they're designed to help gamers have a nice smooth game while they're playing. They can be used. In fact, they're used all of the time in desktop computers, just for regular display of a webpage, for instance, or if you're watching a video, all of that is part of what they're doing. [01:07:30] With graphic processing units. And if you've been paying attention, you probably have noticed if you particularly, if you're a gamer that the price for GPUs has gone way up, not only has it gone way up and it isn't just due to the lockdown and the supply chain problems. but they're very, very, very hard to get now. [01:07:53] Yeah. Some of that is due to supply chain problems. No doubt about it. But most of these GPUs, according to some of the numbers I've seen, have actually been bought by these professional mining companies. In fact, many of them have gone the next step and they have what called custom silicone. These are completely customized process. [01:08:19] sometimes they're using Asics. Sometimes they're using other things, but these custom processors that are really good at solving that problem that they have to solve in order to mine, a bit Bitcoin or one of these other currencies. So you, you see how that all works. There's a number of GPU manufacturers and something else interesting has happened because of the drop in value of pretty much all of the cryptocurrencies. [01:08:51] And that is these GPS are going byebye. Right. Do does a company that is now no longer trading. That's no longer operating. Uh, we've seen at least two of these crypto mining companies just completely disappear. So now all of their hardware is going up for sale. You'll find it on EBA. So I, I wanna warn you, if you are looking for a GPU of some sort for your computer, maybe if you're a gamer, be very, very careful. [01:09:28] We've got a buyer beware situation here because you're not just buying a GPU. A graphics processing card, uh, that has been lightly used. It was sitting in a terminal. Maybe it's a GPU. Like I use them where, when I'm doing video editing, it does use the GPU, even some of the audio editing. It uses the GPU. [01:09:50] I'm looking at it right now and I've got some, uh, GPU utilization going on. I've got about, uh, 6% of my GPU in use right now on this computer. So. What the problem is is that these minors who are selling their old GPUs have been running them full Bo 24, 7. That's hard on anything. Isn't it. So what, uh, what's happening here is that you are seeing a market getting flooded with GPUs. [01:10:25] You really don't wanna. All right. Does that make sense? Uh, you know, there we've lost more than 50% this year already in some of these, uh, cryptocurrencies that are out there coin base has had an interesting year Celsius, a major cryptocurrency bank, suspended withdrawals, uh, just here in the last few. [01:10:52] Coin based crypto exchange announced a round of layoffs. Also here, they paused their hiring a month or two ago. It it's not going very well and prices for new and used graphic cards are continuing to fall. The peak price was late in 2021, a little bit early in 2022, but now you can go to Amazon new egg, best buy and buy current generation GPUs for prices that really would seem like bargain six months ago. [01:11:26] And pricing for used GPUs has fallen even further, which is the caveat Amour URA thing here that I'm warning everybody about. You need to proceed. With caution. So there's a lot of scams, a lot of bait and switches. You know, that's been kind of normal for some things over the years on eBay. I'm afraid, but I've had pretty good luck with eBay, but any high value eBay purchase CPUs have been mining cryptocurrencies at full tilt for months or years have problems in new GPU. [01:12:02] Would not have had, you know, this heat that they generate, the dust that gets into them, that the heat is messing with can really degrade the performance and degrade the usage of that GPU here over time. Dust can also, uh, cause problems with the thermal paste that's in them could be dried out thermal paste because of the heat and that causes them to crack and causes other problems. [01:12:30] So if you buy a used GP that looks dirty or runs hot, removing and cleaning the fan and heat sink, reapplying, fresh thermal paste. Could potentially restore loss performance, and maybe you can even get that new Sony PlayStation because GPS are becoming available. Again. Visit me online Craig peterson.com and get my weekly insider show notes right there. [01:12:59] Self-driving is relatively new technology. And, uh, our friends at Tesla just fired an employee who posted videos of a full self-driving accident. Uh, he's done it before. [01:13:15] Tesla has a very interesting background. In fact, Elon Musk has gotten more interesting over time. [01:13:23] And particularly lately the stuff he's saying, the stuff he's doing, but his companies have really made some amazing progress. Now, one of the things that Elon did pretty well pretty early on was he decided he was going to start selling. A self-driving feature for his cars. And back in the day, you could buy it. [01:13:49] This was before it was ready at all for, I think it was 5,000 and, uh, it was good for whenever they came out with it. And then it went up to 7,000 and then I think it went to 12,000 and now it's you pay him monthly, but in reality, There are no fully self-driving qualified Teslas on the road today. It will be a little while before that happens. [01:14:19] So this ex Tesla employee by the name of John Burnell is quoted in ours Technica saying that he was fired for posting YouTube videos about Tesla's full self-driving beta. Now this is called F S D. And if you know, Computers, you know what beta is? Beta means, Hey, you know, should work, could work, probably has some problems. [01:14:44] And that's exactly what it is. Now. Tesla told California regulators that the full self-driving beta lacks true autonomous features. And that's probably how they got by getting with putting this car on the road, these cars on the road. So this ex employee. Says that Tesla also cut off access to the full self driving beta in the 2021 Tesla model three that he owns. [01:15:17] Now. He said that he paid for it. He had it legitimately, and yet Tesla cut him off from, and I guess. Anybody can try and sign up for it. I don't know all of the details behind getting that beta code. If you wanted to, you probably could investigate a little bit further, but the video that he posted on February 7th provided a frame by frame analysis of a collision of his Tesla with a Ballard, a a Ballard. [01:15:48] Those are those stanchions, those, uh, cement pillars. They usually have. Plastic on the outside that you'll see, you know, protecting sidewalks or in this case it was protecting a bike lane in San Jose. So he said, no matter how minor this accident was, it was the first full self-driving beta collision caught on camera. [01:16:13] That is irrefutable. And he says I was fired from Tesla in February with my U YouTube being cited as the reason why, even though my uploads are for my personal vehicle off company, time or property with software, I paid for. And he has a, um, channel called AI addict that you can find over there on YouTube if it hasn't been taken down yet. [01:16:38] Right. Uh, he said that he got a notice that his full self-driving beta was disabled be based on his recent driving data, but that didn't seem to fit because the morning I got fired, he says I had zero proper use strikes. On my vehicle. So yeah, I, I can't say as I really would blame him, uh, him being in this case, Elon Musk for firing this guy, but it's an interesting little video to watch. [01:17:08] It's like two and a half minutes. You'll see. And it, the guy has his hand on the steering. Well, and the car is steering. Itself down the roadway and there's no other traffic really on the road. I don't know when this was like a, a Sunday or something, but you can see on the screen, it is detecting things like the, the little, uh, construction pillars that are on the side of the road. [01:17:36] And he's in a left. Turn only lane and his Tesla turns, left the steering. Wheel's kind of going a little back and forth, right? As it tries to make up his mind what it's going to do and he's driving down, he just passed a ups truck. Although I would not have passed personally, the way he passed, which is the. [01:17:56] The car decided it was going to, um, get closer to that ups truck. I, I would've purposely gone further away. And then what happens is he goes around another corner where there's some Ballards. That are in the roadway. And of course the idea behind them is so the cars don't go in and accidentally strike a cyclist. [01:18:20] But around that corner where there is a crosswalk crossing the street, there's no Ballard. So people don't have to kind of get around them. And then the Ballards start off again. So the Tesla got kind of confused by this and looking at the screen, it doesn't show the, these Ballards. Being recognized. So the driver of the car grabs the stern wheel takes over at the very last second, but did actually hit the Ballard. [01:18:52] Uh, no two ways about it here. He hit it and the car is stopped and
Chipmaker Qualcomm is aiming to jump back into the server CPU market. The avenue is coming from last year's acquisition of Nuvia. We covered this deal on the Rundown last January and mentioned that the company was founded by former Apple engineers that wanted to focus on bring ARM to the datacenter. At first the acquistion seemed to refocus Nuvia on mobile device CPUs but Qualcomm appears to be looking to the future and restarting development efforts on servers. Qualcomm has a big market for System-on-a-Chip solutions for mobile devices but with the market for ARM CPUs in the cloud becoming hotter, is it time for a new player to enter and try and upset the balance? This and more on this week's Rundown. Head to GestaltIT.com for show notes. Time Stamps: 0:00 - Welcome to the Rundown 0:37 - Pliops Gets $100 Million 3:27 - Lloyd's Avoids Insurance Wars 7:36 - MinIO and Intel Team Up 10:11 - Aruba SD-WAN Gains ICSA Certification 13:01 - Storpool Releases v20 16:33 - Qualcomm Taking a Nuvia Look at Server CPUs 25:30 - The Weeks Ahead 27:00 - Thanks for Watching Follow our hosts on Social Media Tom Hollingsworth: https://www.twitter.com/NetworkingNerd Stephen Foskett: https://www.twitter.com/SFoskett Follow Gestalt IT Website: https://www.GestaltIT.com/ Twitter: https://www.twitter.com/GestaltIT LinkedIn: https://www.linkedin.com/company/1789
This week is very heavy on product reviews, though we do begin with our traditional Intel Arc news - and this time there's a retail card available right here in the USA! As if this isn't enough to excite you into a frenzy, AMD is announcing a livestream in which they will announce new CPUs that you can eventually buy at a later date!Timestamps00:00 Intro02:02 Retail Intel Arc A380 card available in USA04:55 Arc does DX9 via DX1207:04 AMD's upcoming livestream to announce new CPUs09:18 All-new Rescuezila12:02 Gaming Quick Hits13:19 Realtek RTL819X vulnerability18:08 Another Chrome zero-day18:31 iOS VPNs leak data?19:39 Drop LoTR keyboard25:43 Monoprice Horizon TrueWireless ANC earbuds review30:56 Fractal Focus 2 case review43:43 ECS LIVA One A300 AMD mini PC barebone review55:10 Picks of the Week1:04:31 Outro ★ Support this podcast on Patreon ★
This week's podcast covers Marvel's Canceled and Upcoming Open World Games, Dead Island 2 is alive and has a rumored release date, Splatoon 3 will be on the newer Nintendo Server System, Playstation PC Launcher references were discovered in Spiderman's PC filfe, AMD Ryzen 7000 CPUs could be delayed due to BIOS issues, Intel Arc A580 GPU comparisons, and multiple titles are leaving Xbox Game Pass this month! 0:00 Intro 0:30 Updates 9:57 Marvel Canceled an Open World Iron Man Game https://bit.ly/3wfUAXx 19:30 Dead Island 2 is alive and coming in February https://bit.ly/3pxmGdf 29:05 Splatoon 3 Will Be Using Nintendo's In-House Server System https://bit.ly/3AwcFTO 37:28 PlayStation PC launcher https://bit.ly/3wbkagf 47:14 AMD Ryzen 7000 CPUs could be delayed https://bit.ly/3c7F7Ca 52:10 Intel Arc A580 Graphics Card https://bit.ly/3AwyouK 58:14 Titles will be Removed from Xbox Game Pass https://bit.ly/3Cd3sB1 1:05:36 Outro Leave a LIKE and a comment, thanks for watching/listening! ----------------------------------------------------------------------------------- PODCAST ►► https://anchor.fm/m2podcast AMAZON Music ► https://music.amazon.com/podcasts/091902c3-b83b-487c-8fe7-4c96787434fe/M2-Podcast APPLE ► https://podcasts.apple.com/podcast/id1531832410 BREAKER ► https://www.breaker.audio/m2-podcast-2 CASTRO ► https://castro.fm/podcast/6f69d373-d879-46d9-9f1c-bcf7c4bf1741 GOOGLE ► https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy8zNTYwNWZiMC9wb2RjYXN0L3Jzcw== OVERCAST ► https://overcast.fm/itunes1531832410/m2-podcast POCKETCASTS ► https://pca.st/5jghvf6e RADIOPUBLIC ► https://radiopublic.com/m2-podcast-GMZkY4 SPOTIFY ► https://open.spotify.com/show/2VedhO03IRoHERJqF6Sy87 STICHER ► https://www.stitcher.com/podcast/m2-podcast TUNEIN ► http://tun.in/pj3ZI #podcast JOIN THE DISCORD! ►► https://discord.gg/Kp5Gre6 KyleHeath Socials: TIKTOK ►► https://www.tiktok.com/@mrjkheath TWITCH ►► https://www.twitch.tv/kyleheath TWITTER ►► https://twitter.com/mrjkheath YOUTUBE ►► https://www.youtube.com/MrJkheath MadMikeWillEatU Socials: INSTAGRAM ►► https://www.instagram.com/madmikewilleatu/ TWITCH ►► https://www.twitch.tv/madmikewilleatu/about TWITTER ►► https://twitter.com/madmikewilleatu YOUTUBE ►► https://www.youtube.com/channel/UC1MoIvzyMDvH_5Ta
Join The Full Nerd gang as they talk about the latest PC hardware topics. In this episode the gang is joined by Wendell from Level1Techs to talk about the upcoming battle between Intel and AMD over 13th gen and Ryzen 7000 CPUs, the state of HEDT with Threadripper Pro 5000, why (or why not) Linux is the future of the PC, and of course we answer your questions live! Watch Level1Tech on YouTube: https://www.youtube.com/c/Level1Techs Buy The Full Nerd merch: https://crowdmade.com/collections/pcworld Join the PC related discussions and ask us questions on Discord: https://discord.gg/SGPRSy7 Follow the crew on Twitter: @GordonUng @BradChacos @MorphingBall @KeithPlaysPC @AdamPMurray Follow PCWorld for all things PC! ---------------------------------- SUBSCRIBE: http://www.youtube.com/subscription_center?add_user=PCWorldVideos TWITCH: https://www.twitch.tv/PCWorldUS TWITTER: https://www.twitter.com/pcworld
Make compliance easy with Kolide at: https://www.kolide.com/WAN Try FreshBooks free, for 30 days, no credit card required at https://www.freshbooks.com/wan Deploy a cloud server in seconds with Hetzner at https://www.hetzner.com/cloud?pk_source=youtube&pk_content=yt-cloud-2022 Timestamps: (Courtesy of NoKi1119) 0:00 Chapters. 1:50 Intro. 2:18 Topic #1: Google tells Apple to adopt RCS. 3:58 Green bubble is bad for dating, discussing social life. 7:38 Topic #2: LTTStore's backpack warranty. 8:46 Summarizing interpretation from Linus's comments. 10:30 Explaining the "trust me, bro" & investments. 15:10 Luke discusses the wording & responses. 18:12 Linus on what he really meant about the store support. 21:46 Linus on the retiring stream. 24:18 Things that Linus feels he did wrong. 26:50 Internal versus external policy, ghosting people, lawsuits. 29:22 LTT's reputation, GN's video, discussing trust. 33:12 Subreddit's thread, accusations towards LMG censoring. 40:36 Planned warranty for LTTStore, nothing changes with LMG. 44:42 LTTStore's "Trust me bro" T-Shirt. [Cont.] Topic #2: LTTStore's backpack warranty. 46:55 Clearing the confusion in chats. 48:48 LTTStore discount, sweatband. 49:21 Topic #3: Linus's pool update. 50:55 Concrete & cement ratio, explaining shortage. 55:02 Topic #4: Netflix has mobile iOS games. 58:38 Discussing Netflix users, comparing to Apple Arcade. 1:01:34 Ubisoft, Netflix Premium subscription. 1:04:28 Merch Messages #1. 1:05:00 Riding season, video on biking & gear. 1:05:57 Floatplane background play. 1:06:16 Sponsoring an Esports team. 1:11:34 Less commonly known tech carriers. 1:14:46 Thought on Steam spam games, pop-ups, Luke's "child". 1:20:49 Sponsors. 1:21:01 Wealthfront. 1:22:18 Seasonic. 1:22:48 VULTR ft. Seasonic's 12 years warranty. 1:26:22 Topic #5: Newegg GIGABYTE discount scandal. 1:31:28 Linus tries to read into the refund & shipping issue. 1:39:48 Topic #6: Linus V.S. Naomi Wu Twitter controversy. 1:45:00 Naomi Wu & 4chan changing the story. 1:48:29 Discussing responses on Twitter. 2:01:52 Topic #7: Instagram & Facebook's excuse for in-app browser. 2:05:44 Merch Messages #2. 2:05:52 LMG's tape backup. 2:08:35 Battery technology in houses. 2:10:47 LTT demographics. 2:13:46 Should NVidia branch out into CPUs? 2:14:16 AMD CPU show similar to Intel's ARC? 2:16:30 Half life 2 in VR. 2:18:30 How Linus feels about the 20,000 bags. 2:25:58 Luke's Steam Deck & spending habit. 2:31:45 Steam Deck for game streaming. 2:33:24 Product category Linus would target. 2:34:34 Steam Deck with case for LTTStore backpack. 2:35:10 Networking cables & wifi mesh. 2:40:20 Outro.
Elon challenges twitter CEO to debate on bots TikTok is showing horrifying videos to moderators for training Valve wants joy con controller support added to steam Intel insists next gen CPUs will launch this year. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/earlybirbbriefing/message Support this podcast: https://anchor.fm/earlybirbbriefing/support
This episode explores Wojciech's recent progress with the Fire Science show as well as his new chapter on Fire and Smoke Modeling in the "Handbook of Fire and the Environment". Tune in to hear about modeling fire and smoke in environments as big as city blocks. Fire Science Show: https://www.firescienceshow.com/ Handbook of Fire and the Environment https://bit.ly/3bCId0I Transcription Gus Gagliardi: [00:00:00] Hello, all welcome to the show. I'm Gus Gagliardi, and this is fire code tech on fire code tech. We interview fire protection professionals from all different careers and backgrounds in order to provide insight and a resource for those in the field. My goal is to help you become a more informed fire protection. Professional fire code tech has interviews with engineers and researchers, fire marshals, and insurance professionals, and highlights topics like codes and standards, engineering systems, professional development, and trending topics in the industry. So if you're someone who wants to know more about fire protection or the fascinating stories of those who are in the field, you're in the right place. Hello, all welcome to episode 58 of fire code tech. On this episode, we're speaking once again with Wojciech Węgrzyński WOIC is a friend of the podcast and the host of the fire science show. In this episode, we get some updates on what has been happening with the fire science show and wojak details his chapter in the new published handbook titled the handbook of fire and the environment by S F P. Wojciech chapter in specific talks about fire and smoke modeling. He evaluates how we can use fire and smoke modeling to better understand how fires impact the environment and what methods we can use to predict and protect individuals from the hazard of fire and the pollutants that are. If you enjoyed this episode, please go check out the fire science show. He has a wide variety of topics, and he really gets at some fascinating scientific points of view that we don't as often cover on fire code tech. Don't forget to hit that subscribe button for fire code tech and the fire science show. And give us a follow on social media. Also, if you enjoy the content and you wanted to give us a big favor, give us a five star review on apple iTunes podcasts. Let's get into the show. welcome back to fire code tech. Thanks for coming on the show, sir. Thank you so much, GU thank you so much, GU very happy to be here with you again. Nice. Well, yeah, the fire code tech. Goes round two, I guess. Yeah. Or what is it? The fire science code tech show. That was, that was a good one. I really enjoyed. I really enjoyed that. That mashup was nice. One. It was fun. It was fun. Yeah. Well, I wanted to just, you know, start off by getting a update of like what you've been thinking about the podcast. We were chatting a little bit off air, but I'm sure everybody is interested about, you know, How you been feeling about it and what's been going on and just like a little bit of background on the, behind the scenes for Roja. Wojciech Węgrzyński: Yeah. Cool. I'm not, not very often sharing behind the scenes on fire sand in the fire science show. So I guess it makes more sense to share it in, in here. It's been fun. It's been a great year. Definitely a chance to meet and talk with people that I would not usually talk to. And that was, that was really good discovering a lot of new, super smart, super intelligent people who do groundbreaking research in fire for me as an academic broadening my, my field of view. So that has been excellent. And. I really like it, a lot people seem to like and enjoy it. So makes me very happy to, to get feedback from outside of my closet. and yeah, I, nowhere close to stopping doing that quite opposite. I'm I'm very. Happy to, to do this project, continue this project. And my head is buzzing with ideas, how to make it better, how to grow it. Gus Gagliardi: So many, so many new roots open up and I, I hope that. It's the early days of the fire science show. And you're gonna hear a lot more from it. Hopefully , we'll see. I would bet on it. I would bet on it with you behind the wheel, but no, that's awesome to hear about. Yeah. I, I definitely know what you mean about the podcast opening up new doors, but yeah, I was wondering with your newest riding endeavor that you were sharing with me. But like what kind of, how has the, like the symbiotic relationship of the podcast? Like how has that influenced other areas of your career? Because I know for me, it's, I've seen it have subtle and not so subtle influence on knowledge and just opportunities. Yeah. That's kind of an intriguing question, I guess. Wojciech Węgrzyński: I mean first, first things first I'm a scientist and an engineer I'm I'm podcaster is, is a third hat if I may. And definitely my, my prime career is as is the VO, the [00:05:00] scientist. I I'm the guy who does fire experiments and measures stuff and tries to publish that and shares the knowledge through academic papers mainly. So. It's difficult to say to what extended this world's overlapped that much. I would say that podcast is I found podcast as an excellent way to communicate the research. Like this is something absolutely. Great. And it it's working like magic and it, it was one of the reasons why I've started podcast. You know, sometimes you go to a conference and there's a person they're talking about their research. They're giving a 10 minute presentation and it's like, you can go asleep. Sometimes it's really difficult to. To capture all the knowledge that person is trying to share, giving their best. And I'm not saying people are lazy or something or, or unskilled, but it's just the way how it is in conferences. And then after the conference, you go for a beer with that person and you can spend like three hours in the pop talking about that research. And it is fascinating. And I couldn't get that out of my head. Why, you know, the same person, the same topic, the same thing in one place. It's very difficult to. On the other hand, it's so approachable. So nice. So juicy, like you can learn so much from talking to people and I figured out the context makes the difference and this human to human interaction makes the difference. And I've bet on that while starting the podcast and it worked out, it really seems to be the thing, like when you talk to people, they open up. When you ask them questions, they, they light up inside and they want to talk, you know, I, you may know the feeling of talking to a 200 people in the room and you don't really have a good idea if any of them is listening. like, you know, People on their phones. People were watching around someone talking with somebody else on the side, someone leaving the room, middle of the talk. You didn't know if they left because it's horrible talker. They just received a very important phone. You know, you don't know that it's stressful and here Once you forget, this is being recorded. Once you forget, this is going to be shared with hundreds of thousand or thousands of people you open up and, and you can just, you know, give the science to the world. And, and this is the interaction between podcasting and academia that. I enjoy the most, I must say I'm not taking that big advantage of, of my podcast with my research because there's a lot happening at ITB and, and at my research group, which I guess I could have a whole podcast about research. We are just doing, but I, I, I wanted my show to be a venue for everyone else and whole community of people, scientists. So yeah. That's number one. Influence. Yeah. Well maybe in one day you'll have. Media network, where you can have a whole litany of fire scientists talking on different podcasts on a channel one day. We don't know. I won't, I won't sell you short yet. I think you got it in you. Yeah. Media empire. That that'll be great. There you go. I, I thought at understand, I thought the fire science is too small, even for a podcast. So, but I was very wrong. I was very wrong. It's so niche. It's so niche. And like, I wonder that same thing sometimes I'm like, is it so. is it such a, like a small subset of an audience? Like, is there enough people? Gus Gagliardi: I really didn't even know. Like I was excited when I was having 10 or 12 people listen to the podcast. I was excited on a weekly basis. I was like, this is awesome. I can't believe that people are even listening to me right now. Like what, what the heck even is happening. So I, I love all what you're. I when thinking when, considering that I thought it is a small audience, but it's an audience that deserves a great, great shows, great content. Wojciech Węgrzyński: And let's do this and see what happens and, and it turned out cool. Yeah. From the opposite side, like how does podcasting influence my work as a scientist? I get the chance to listen every single episode of fire science here, because I record them. I edited them. I listen to them. So I'm a very solid consumer of my own content. And I, I honestly think listening to podcasts like. Yours and, and mine and there's others is probably the easiest way for passive career development. Like there, there is no other as easy investment of your time. Even in time it can be considered even entertainment in a way. And yet you learn so much. So from every interview, I, I learn something that eventually gets implemented in my science. But I would get that by listening to podcast. I wouldn't have to make the podcast to, to have that if I was just listening to, to the podcast, which I am, I, I would still benefit in a very, very similar way. So yeah, I think it's a great medium [00:10:00] and one that's very easy, but very rewarding. Gus Gagliardi: Yeah. Yeah, definitely. Well, I wanted to ask, I feel like I'm just getting selfish here and I'm asking you all the podcast questions up front, but I wanted to ask just like, and I think you've like spoke a little bit about, you know, how it's been and. How things are going, but yeah, I mean, like, I love hearing about your, you saying you're, you're scheming, you're thinking about ways to grow it, but like what dreams do you have, if you could share any for what you would like to do with the fire science show? Like yeah. Where would, where do you see it going? Yeah, first and foremost, I would like it to continue. Very long time. Like I would love to one day wake up and think about, I dunno, 10 years of interviews I've done with the fire scientists, you know, see in the podcast reflection of how the field grown, how it evolved, how one thought fueled another. Wojciech Węgrzyński: I, I mean, doing it for a year, I can already I, I can already see Repository of hours of, of interesting interviews, but I really wonder how will it look after like five or 10 years of doing that? How big it'll be? What, what great thoughts will be in it? I would love to know interview today. Some. Undergraduate student learned that 10 years forward their famous professor and, and it was first communicated. These are the dreams, you know, really they're very down to earth. I, I don't dream about building a tycoon of, of podcasts or, or having I don't know, the number one show on the planet or so that I don't care that much. I'm reaching my goals with what I'm doing. I would honestly like really love to continue and just like reflect on how it influences lives of others. That's. That's very rewarding on, on its own. Obviously I would love to get the show sponsored one day or, or, you know, get something rolling that. And I think it's important for, for podcast long longevity, you know, it's, it's it's, it's, it's a thing that definitely helps, but it's not a goal on its own. Gus Gagliardi: It's something that would be nice as an, as an added part of this routine. Yeah, I think it's, I, I mean, I'm sure you're already at a place where if you just started going and chasing sponsors, you could get 'em it's just the time to do all that on top of yeah. Your, your three other jobs. You got your you're an engineer, you're a scientist you're podcast. You're a father like, yeah, you got, maybe you spare a couple seconds left in the day that you probably need for your sanity. So if you, if you're really one of those sponsors, I'm sure you could go get 'em, but I love. I feel like you have like a philosopher's soul when you speak about these things that, oh, thank you. Wojciech Węgrzyński: I always enjoy listening to. But I find myself just like going into, I'm listening to a wojak podcast mode, even though I'm supposed to be interview interviewing you. So I need to be careful about listening to you. okay. That's cool. I'll I'll I'll just pop a three minute timer to not exceed you just make sure you start snapping. Gus Gagliardi: If I look like I'm glazed over and I'm just like listening to you too. Intently kill man. No I wanted to talk to you. You shared with me like a new project that she had just finished. And I saw that Brian Meachum was sharing it on link two, LinkedIn too, after we were talking about it and super exciting, but I really wanted to dive in in this conversation and talk about your new chapter in the handbook of fire and the environ. Wojciech Węgrzyński: It was, is such an exciting project. And I was delighted to be invited by Brian to participate in, in that project. It's a handbook it's called a handbook of fire and environment. It's within the, let's say environment of, of SF P handbooks. So it's, it's a completely new development that hopefully will be sustained and growing as, as it as its own thing. It's. Large. Well, handbook is a large book. It it's large book many chapters with, with great, great people, all focused around the environmental impact of fires on the environment, but also in a cultural way, in a social economic way. So all the, all the different ways, how fires impact society. Editors of the book are Brian Mitchum, who you've mentioned, and professor Margaret Magna me from Sweden. So they're, they're, they're both co-editors of the, of the book. They were leading the whole thing. And I even had, I had Margaret on my podcast some time ago, we were talking about sustainability in build environment. And this is also something that, that fits into the puzzle of, of fires and the environment. So the book itself, [00:15:00] it started, I know three, maybe four years ago. It takes a long time to publish a handbook, man. It's like you and me are on a tight schedule with the podcast and almost a weekly. It takes years to publish a book of this magnitude. And it it's, it's amazing. It's even if you do your best job and at the moment when it's published, the, the references in it are already two years old because it takes so much time to process the book, but ah, it's, it's cool. The book is, the book is out there and the knowledge there is is worth sharing. Absolutely. If you want sorry. The, the story of the handbook like goes, goes far back and it's it has been triggered by the how fires do damage environment. We we've been more and more. You know, aware of the effects fires due to environment in terms of smoke, polluting the air in terms of the soil and water damage that is done from fire and extinguishing actions. We had some huge, like petrochemical fires, huge chemical plant fires that. Their ethics on the environment around was very profound, but we also had fires like the tragic gr tower or the Notre Dame, par cathedral fires, which were just buildings inside of a city. And yet they had environmental consequences. If you look through that layer on them. So it it's something we are becoming more and more aware. And this handbook was a way to answer this need for the society to be able to quantify, measure, model that, to better understand this impacts. So yeah, that's the handbook. Yeah. Wow. That's that's incredible to hear you talk about like the scope of a document like this. Gus Gagliardi: I mean, I guess it makes complete sense when you have this many authors this much like peer review and, and this much just process to compile it all, you have thousands of pages probably. Or I don't know how roughly how long it is, but it's it's like 500, but it's, it's, it's a massive work. Yeah. 500 man. That's still like a dense, dense, but man, so much to be gleaned about it too. And so I, you know, was But, yeah, it's exciting and cool to see a little bit of your, your wind talk. You know, I didn't get through the entire chapter over that you wrote, but, oh man. It's it's it's way through and probably take with me. Take me months to get through it, but I was like trying to read it and UN not just read it, but understand it, you know, I could read it and just like go through it and my eyes go over and be like, yep. That went inside my brain for a moment. Or just like go through it, try to pick it apart. I was taking notes, but it was really interesting to. Get like a little bit more on your, on your wind talk. And I feel like that's your baby, you know, like this, this idea and this thing that you really love to. So it was cool for me to get a little bit of a peek behind the, the curtain for. For that lecture and that discussion that we had talked about. And honestly, when we were doing our first talk, you were given hints about the win talk when you came back. Yeah. So it was like perfect timing. Perfect timing. yeah. So, but yeah, but I'll, so let's get into that. Let's talk about like, you know, I guess let's get into. So like who would benefit from reading this book? Like, who's kind of like the, the audience or the target. I mean, I can definitely see. People who like yourself and, and like the firm I work for at times, like performance based design professionals are people who deal with fire and the, you know, just the sociology of it, the science of it, all the parameters, like they can benefit by reading your chapter. But yeah, maybe you have a greater sense of who's a good audience for this document. It's it's a tough question, you know, because I would love to say everybody and that's a horrible answer to such post questions, which I now know being a content creator, if your content is for everybody, it's for no one. Wojciech Węgrzyński: So, so I'll try to Wrap up who would be a perfect recipient of this chapter, like who I would like to give this book in a president and tell them you would really, really benefit from reading this. And I, I think it would be an engineer, not necessarily dealing with the building design, but one that wants to understand a bigger picture or because of the work they're doing. They have to. Understand the bigger picture, the context of what they're being designing, be the building, a tunnel, a road, a system you know a bigger community even. If, if you are involved in, in [00:20:00] design and you would like to understand another layer of perception of your. If you're in the building, we usually care. Okay. Is your ISA time higher than your required time? And if that is you're good, if not, then you're bad. What are your concentrations inside? But as soon as you know, the smoke is exhausted outside of that compartment, you don't think about words going to fly. How far can it fly? Who's going to be vulnerable to that smoke. And actually even how much will there be? Eed out of your fire. It's not something we consider today that much while designing buildings or other systems. I'm not saying we should always do that, but I am also sure that in certain cases we would benefit from understanding what our what our buildings, what, what threats our building pose to the surroundings. As I mentioned the cases of Grandful or, or Nord Dame, it was a single building burned down. And yet it had some environmental consequences in its nearest surroundings outside of all the other damage that was caused by these tragedies. So even as a fire of a single building can do a lot of harm to the surroundings. And to understand that, like how can you. Understand what the impact will be. You, you have to calculate it in a way like we're engineers. We, we are supposed to not give a random answer based on our feeling or intuition, but we are all to calculate and then measure and, and model. So this is what. We were invited for in this chapter previously, as you've mentioned, we've been known for our work in wind and fire, coupled modeling and environmental modeling of the fire outcomes is largely related to the atmospheric winds. I mean, winds will be driving force for the, for the contamination. So it was very Easy to find a link between our work that was focusing on the winds and fires inside the buildings and extending it to understand how the winds affect the, the, the consequences of the fire outside of the building. We were focused on the inside, but it was very easy switch to also take a look at the greater picture outside now. One thing that we were doing, we were usually focusing on numerical modeling with CFD computational fluid dynamics, which is something that gives you great answers, but in the very near proximity of your building, because it's very detailed simulation. You can do a simulation of a whole city, but it's quite expensive and you probably don't want to do that all the time. So we thought with Karth or Thomas Thomas Lipsky from the Lulin technical university we thought, okay, so we have this understanding of the great model CFD on, on the near. There's plenty of other models being used, which I also do to my personal career and other developments previously, I have known we should like broaden it. So, so this is why in this in this chapter, we take the reader into a journey. First we try to discuss what. Is a fire mission. And there's a great chapter in the handbook about that as well. Like what is a fire? What does it emit? What can you expect from it as a source of heat and smoke, then we go through multiple types of of models with growing complexity. We start with something that's called the box models. Where you just assume a whole space is just one thing and you average things out within it. And that's the, that's probably the simplest way you can model contamination within an area, but you're. You are constrained by the size of the box. So, so it works only in, in certain scenarios. Then we go into Gian plume models where you have a single equation, AIAN distribution equation that allows you to calculate. If I admit this amount of smoking here, given that PSIC conditions around me, wind blowing in this direction, how much will go like 500 meters AF away, a kilometers, five kilometers away, 10 kilometers away. You can calculate this distribution. Now the problem with this is, is a very simple, easy calculation. It's just one equation you solve. You assume that the weather is not changing. Like, you know, you have one wind direction, one wind velocity, and it's constantly changing. And the bigger scale you go, like if I model a vehicle on a car, That's probably okay-ish to model it like that. But if you model like McMurray fault fire, where you have hundreds of square, hundreds of thousands of [00:25:00] square meters burning together, and the plume will take days to reach a different place in the us. You cannot model it like that. So you need to take this different things into account. So we go into more complex models there's models. I, I love them. They're called puff models where you it's more or less like Gian plume model, but you emit puffs of your fire and you model where the puff will go. So let's imagine. And each hour of a fire is a single puff and you just measure, okay, this puff goes here. This one goes here. This one goes here. And based on that, you, you have a more or less. Overall image on, on where the smoke will go. Then you can go into very complicated models. Laurian particle models, where you emit Laurian particles into, into three dimensional setting and you track where they go with allows you for very high, detailed investigation or where the smoke will go. and because of howing particles work, you can add chemistry to them. It's you can play a lot with them and ULA in models where you basically do more as a CFD of a, of a continent where you can really model the dispersion with a, with a complicated topography, complicated Windfield weather. At the cost, obviously it's not easy, but you can do that. So you have a hierarchy of, of models that you can use for a particular problem at hand. And of course, CD, which we many of these models, like there's their weakest thing is the nearfield, like what's happening directly near to the fire so that we cover with the CFD. So if you would like. Learn about this, the, the, the, the chapter and the handbook would be just for you. do you need this immediately in your life? I'm not sure, but if a day comes and you will need it, it's there waiting for you. So there's also a point of having a handbook. So if you, one day, find out yourself in the need for modeling things like this. Here you go. It's all there. Yeah. That's awesome. Yeah. Gus Gagliardi: I think it's stunning rooting through your chapter and just like skimming through a little bit. How many modeling examples are in this chapter that you produce? I just was thinking about how much time it must have taken to even a symbol, all, all of these like different modeling examples and all that. I was like, man, I've seen CFD before and I saw like some of those. Like the cutouts and the nice renderings and like artistic renderings of the wind cityscape and stuff, which was neat that I'd seen from something you presented before. But lots of great. It's not just. Text. It's like a beautiful imagery of modeling and, and a lot more information and charts and, and, you know, distributions for what's happening with this material. Wojciech Węgrzyński: So thank you very much. We, we wanted it to like if, if this is the first and only piece of research, you. On this specific topic, modeling environmental impact of fires. We wanted it to at least give you a fairly complete overview. Obviously we're talking about a whole field of science. There's hundreds of people writing papers of that. There's dozens of models. We, we were, it was even, it would, it would be even impossible to give a list, a complete list of models, not, not even to go and, and, and discuss them. So we focused on the ones that we knew are most popular or the ones we had some experience in. I mean, it, it is not an exclu exhaustive list. I, I guess, at, at some stage we'll build up on that and then present a more complete image. I think for, well, it took a few months of work. So for the time associated to make this chapter happen, I think we did a, a fairly good work completing all of this together, compiling it into, into one one piece of content. Gus Gagliardi: The chapter that that now is, is in the hands of engineers to. Yeah. So like how long did it take to like physically write it? Because I've been doing more technical writing recently and I'm so bad at it. I'm not good at all. and so I was just looking at this document and how like, Nice and polished. It is, and like the, the terminology and everything flowing and having nice little poetic phrasing in there. And I'm like, this would take me forever to write this. I can, I can tell you, let me find a manuscript folder on my, yeah, from the first draft till the one that we've sent. To [00:30:00] Brian. It was four months of work. Wow. Yeah, it was four months. I remember quite vividly. I I've spent my entire Christmas break reading literature and, and writing that it was fun. Wojciech Węgrzyński: Like 10 hours a day reading it. Oh my God. And writing, I like this. It's not it was not Pain. I, I, I, to some extent enjoyed, enjoyed it. It was nice to learn. The more pain comes when you have to like rephrase stuff and then put it into context. So, yeah, it, it was few months. And then obviously it was like two years in editing, you know, many people having it in their hands. Criticizing making changes, editorials and, and stuff like that. So the final product is a product of, of the work of many people. And it's not something you just go in and ride overnight, but yeah. Okay. Just writing it was months . Wow. That's incredible. That's cool. I don't think I've ever written anything that should have taken months in months. Gus Gagliardi: oh, I mean maybe a term paper as a student that I put off for too long, took me months to write, but I guarantee I wasn't writing that whole time. No, no. It's like, and I don't think I would have time to write it now again with the podcast on, on the, with the podcast project on my back. So I'm not sure if I'll ever author another. Piece like that. Well, maybe I will. We'll see. I'm sure you will. I'm sure you will. Maybe you'll get that patron one day and then you'll be able to outsource some of this editing but no I wanted to talk about like, it's such a complex process of, you know, Just like, I'd like to talk with you about just like some of the basic factors for like these modelings, but I know that that's just like, what's the basic factors of fire, which, you know, but also a topic I'd like to discuss with you is just like, so if we. Had infinite computing power mm-hmm like, what would we be able to do with these like models? You know, like a CFD for a whole city. Like if you could like model whatever, pick a reasonable sized city, but if you could model a reasonable size city and you had infinite computing power, could you get a, like a reasonable approximate approximation of like, Wind distribution of pollutants over a city from a fire. Wojciech Węgrzyński: I mean, like. I was seeing you having some examples of the different mm-hmm zone modeling and like near and the, the different compartments. But yeah, I just wanted to ask that. So my brain always jump. So what's the extreme, yeah, we, we, we don't have to go into abstract thinking, I, I, I think I can give you examples of, of citywide simulations, because we are actually doing them right now. Maybe not on a moderately size city, but on like a square kilometer of a city which is like quite a large chunk of a large city. So, so it takes us using our 128 cars of 128 CPUs. It takes us 24 hours to, to simulate a fire with all the distributions around it. So. It's not it's not something that will come in the future. It's something that we will already have. It's just not, not that many people are using that yet. If you wanted to seem like what would we do if we had crazy amount of power and like infinite infinite resources. I'm not like you can spend whatever amount of resources you want to increase the fidelity of your simulations. You can always use the smaller resolutions of your mesh. You can always use more complicated models. Does it translate to a better simulations? Not necessarily it's it's not such a direct link. I mean, it it's, it's a complicated, I'm actually gonna have a whole podcast episode with Jason Floyd about that, like in a month. so there's an, an, the answer is, is it's complicated, but not so easy. One thing that we like the, the. Issues are with the problem definition, not with the solution. You know, if you think about wind, like what's wind, like what direction, what velocity, what gusts, what we, we there's even a thing called the atmospheric stability. And based on that, you get different wind profiles. If you have a sunny clear day, or if you have a very. Cloud layer you'll have completely different atmospheric conditions. In, in those two days, you can have a wind in the winter. You can have a wind in, in the summer. So, you know, the, the amount of different wind context you can run into is, is endless, like in endless amount of fires you can. So if I had an access to infinite Computational power. [00:35:00] I would do infinite number of simulations, like concurrently to each other to really work out probability distributions and see a risk based image of on how Wind and fire go together. Like I would love to know with probability of this amount of percent, the wind impact will be this. And with this probability, it will be like this. And if the wind is extreme, but the probability is very low, the impact is extreme. Or maybe it's not, I don't know. Maybe with the wind that is very highly prob. Low velocity flow that occurs every other day. Maybe the impact is the biggest. I don't know that it's something that we're currently actually researching in, in a project that we're carrying at ITB. And we're somewhere in the middle of it. We are in the numerical calculations now to really measure. Impact of wind different types of wind, different, different directions in our context on how the consequences of the fire in an urban settlement are. And then we'll be able to, to say to what extent extended this something important or, or not based on risk. So yeah, I would, I would spend. Infinite resources on being able to do risk. not necessarily, you know, doing the fanciest simulation. I can. Mm, that makes sense. Yeah, I guess that's the whole thing is like understanding the very fluid and variable nature of the, the wind and just how quickly things can change the probabilistic. You know, kind of distribution of what could happen and the dispersion of the pollutants, I guess that makes sense of, you know, You know, like, do we even know enough about like the way that the wind and the atmosphere to even make that model? Yeah. Even if you had infinite like resources you know, like you're saying the valuable use of those of that. I I'll give you. I'll I'll give you for a context, a nice example. Like a few weeks ago, there was a severe drought in, in, in Europe heat wave. And there was like one of the hottest days ever in, in, in UK. They had a massive number of fires in London that day, like massive number. Like they, they compared it like it was the worst days. Sinces world war II in London in terms of the amount of fires. Wow. And because I'm involved in the biolife project I'm on the WhatsApp there. And there was a discussion there, like, and Gilman was mentioning and the wind was like very low that day, like four meters per second. And I checked it for London and it seems to be somewhere around the average or median wind and We understand, or we know that stronger wind usually leads to worse outcomes of fires. Like fire can spread, can grow bigger. It's it's usually connected with the worse outcomes. So if on the west day, since world war II, we had wind that was like around 50% chance and it was a wind that. Possibly not contribute that much to the damage. Like it could have been much, much worse with the worse wind. And if the probability of that was 50%, we essentially won a coin us, you know, like if it was not, the outcomes could have been so, so much worse. So this is why we need to. Understand that, and then be able to, to model that, to predict that because if this time we won a coin, us, what's gonna happen on the next worst day. Since world war II, will we lose the coin us? And how horrible will it be? What should we. What should we be ready for? Like, do we understand that as a society? I don't think so. So to, to gain insight into these questions, you first have to solve the fundamentals, which is how do you model them both together, wind and fire. Gus Gagliardi: Yeah. And that's what we're trying to do. Yeah, that's awesome. I like that real world context that Shere providing, you know, I think that's something that over the, like the history of our discipline has always been such a useful teaching tool and just way to ground the importance of what we do. You. It seems like society. It's very easy to forget, you know these tragedies when you exist, you know, most of your daily life is not impacted. And then you'll see a flash of something like this on the news. Mm-hmm like what you're just saying about London and. It having its worst day for fire since world war II. And it's like, you know, when you can bring to mind something so visceral like [00:40:00] that, it really has a great brings home. The meaning of like what we do and Notre Dame and gr fell. I mean, two tragedies that. They're still talking about to this day. I mean, they're still litigating Grandville. It would've happened in like 20 17, 20 16, something like that. Yeah, I can't remember, but it's just incredible how much impact and cultural significance that these fires and this subject has on people and it just kind of. Goes under the radar for the culture of how we exist. We just kind of forget about it. Go back to, we are dealing with very real problems in fire, like we're in. I mean, it, it, in a way it is abstract in a way it is something very. Weird complex difficult to understand. You start to realize the complexities, they, they prevent you from answering most of the questions usually, but in the end you have down to earth problems like real buildings that burn down real environments that suffer real people that suffer and, and yeah, that's what, that's why we are doing this difficult work to. To, to, to help that and, and, you know, being down to earth and being able to relate the, the science to the real world problems. I think it's an engineering science for a reason. Yeah. We, we have to solve the problems without knowing everything first. Yeah. So I feel like I you've talked, you've covered it pretty well, but just like, so why. I guess I'll just ask, instead of trying to put words in your mouth. Yeah. Why, what do you find compelling about like wind engineering or like the computational aspect of wind engineering or trying to be better about not like asking fully loaded questions and just like, obviously pushing my thoughts or opinions on people. When I am trying to do an interview. It's cool. Yeah, I, I, I like computational wind engineering is is something that I find. Interesting. I mean, we are using the same tools for, for fleet mechanics in, in fire safety engineering and in computational wind engineering. But the culture is very different. Wojciech Węgrzyński: They approach their problems in a different way. Like you have different scales in, in, in space. For example, like in wind engineering, you would consider a building and you can go away with two meter mesh on the building because it's a big block. But if you consider fire you, like, you need to model like these tiny details that will influence the fire. So here we, we are in a kind of different world than when wind engineers in terms what we are expected from our models to be in time scale. In wind engineering, you can most likely go away with with steady state simulations, something you never see in fire, because fire is a transient event. You have to like the time, the time aspect of a fire is fundamental to the fire, to the safety to E everything happens on the timeline. In winds, not, not really. It's like probability and just a single, single thing that happens at the time. So, so you go away with steady. So in, in the end, I mean, the tools are the same. I mean, we're also talking about building, so the thing you're modeling is the same, but you're doing it in a different way. And. This is compelling. You know, if you are a, if you're a guy who's been doing fire modeling, they're all professional career, you know, building these buildings, putting fires inside modeling, HVC systems, smoke control systems, doing the same thing over and over and over again, and then comes someone and tells you, now you have to do it. Like I forget about this interior. It's not relevant. It's, it's kind of refreshing, you know, to do something in a completely different way. And when you try to combine both, that's where the magic starts because you cannot simply combine them. Like you cannot put a fire analysis inside of wind analysis. It will not work. It, it it's, it's, it's a different thing. You cannot just drop wind randomly on your, on your fire. By ex you just extend the domain by 10 meters and drop wind. It's not gonna work. It's not wind that you're modeling. It becomes pretty interesting when you try to model the interface between them. It's not so simple. And I, I mean, I, I like dealing with difficult problems, so I, I really enjoyed being exposed to this one and trying to maybe not solve, but at least Try to work in this difficult setting. So yeah, that, that is rewarding and compelling and interesting for sure. For me using the, the fundamentals of computational wind engineering in fire safety engineering. Gus Gagliardi: Yeah, I think that's awesome. That's funny that you're like, oh, well, it seems like you guys are playing on easy mode over here with [00:45:00] steady state equations and yeah. You know, just like, I mean, I know it's a different set of problems, but, but then again like, and they can look at us and they, they, they can Ask us, like what's your time steps? Wojciech Węgrzyński: What's your what, how, how do you solve the, the chemistry of fire? Oh, we simplify that. Oh, you are playing easy mode. You're simplifying it. It way too much. They do take significant care in, in boundary layer problems, which we all. Like not everyone at ologists boundary layers in, in fire safety engineering yet to solve with boundary layers in mind when you're solving your flows. And these, these guys would be very serious about them. So, so it's like we oversimplify something horribly in fire as well. That is very exotic from the view of the other field and vice versa, I guess, I guess that's with the, every field of engineering, the users model. Right. Yeah, that's definitely true. Gus Gagliardi: Yeah. We just know the set of parameters and the distributions that we've simplified our equations around and, you know, you can't account for everything. So that makes sense. Well, I wanted to just ask you to zoom out a little bit and just speak more broadly about your career experience and just ask you like, you know on top of this endeavor you had going, what kind of trends have you been seeing just in your professional career? Wojciech Węgrzyński: It could be in the lab or in your project work. I, I guess I can talk broadly about, Hm, fire engineering as I view it. One trend that is really emerging is, is artificial intelligence. And. it's it's a thing that's in one way it's a black box. No one really understands how it works. It opens a whole world of possibilities that you would not even imagine without it yet. It's difficult to, to handle interpret and make sure that you have it under control when you're using it. So. It's definitely something growing and it, it will be growing and it will be amazing in the future, but together it's gonna be a hell of a challenge, you know, to make sure we are doing it in a great way. Like, think about how people can misuse CFD. Without understanding it and then multiply it by a hundred. That's how that's how difficult the AI can be if you, if you misuse it too much. So, yeah, it's, it's, it's a challenge, but it's an emerging trend that I see more and more in the years. And there are great people working on ITZ last year in Clemson. There's CNN, Wongan in Hong Kong, protecting university and many others. Who are carving the path for everyone else in, in fire to, to use these magnificent tools, you know? So yeah, that's, that's a trend for sure. Yeah, it's so wild. I you're right. I mean, I think AI is just in such the early days, you know, I was looking at like Microsoft outlook documentation and I was looking, they had like little e-learning and I was looking through their courses yesterday, looking for how to do something. And like they had. Like 80% of their documentation was about like, or their little courses were about AI. And it was like, what really is this? Why is it like, like how to, how to create a culture within your company? That's AI ready? And like all this talk about AI and I'm just thinking, as you're saying this, like this is coming and it's going to be a huge part of probably like society. Within our lifetimes. And then the next, probably, I don't know how long wouldn't hazard a guess, but I mean, guess if we don't screw up, it's going to be magnificent. Like you will like if we make it work and validate it and make sure we are using the correct tools for correct problems, AI could take over significant amount of repetitive and Non-critical tasks, fire safety engineers are doing. To allow them to focus on the things only they can solve, you know, viewing, building as a holistic sociotechnical system, right? No one, but fire safety engineer can do that. No algorithm will ever be able to do that. You need a human being with a great understanding of fire building building physics to comprehend. And we will meet these engineers on the same end. You don't want these engineers to focus on simple things that can be solved by an algorithm. So if we can find this beautiful golden center of having the tool, not misusing it and benefiting from it fuel. It would be a beautiful world. [00:50:00] I'm just not sure if we can get to that point before we either break it or ban it, you know? Gus Gagliardi: So yeah. Well, I'm a, I'm a cynic by nature and all I can think about is your commentary in your chapter about the error percentages before we developed some of the more. Modern models for CFD and how it was like 20 to two to 200% or something. Yeah. You know, scatters on. Yeah. But I can just, I don't know. I think that. Maybe I'm just cynical for human nature, but about how people will use a tool with that kind of horsepower behind it. But I'm sure just as in everything in life, there will be people who do it the right way and people who do it the wrong way. Exactly. Yeah. And that's at the same time, it's, it is one of the biggest opportunities and perhaps one of the biggest challenges we have, you know, because we know it's powerful. Wojciech Węgrzyński: We know you can use different like a, a iOS of course, just a name. Tons of different techniques and tools. And it's just, just, just a catch phrase. It's wider than CFD. Even like it, it has multiple flavors, multiple ways how you can implement multiple places in which. You can use computer to help you understand your data sets and problems at hand. So we really need to learn how to use it. We need to learn how to control it. We need to learn how to know that the predictions of it are credible or not. This will be very difficult to solve, but if we get there, it's gonna be fun. Yeah. Yeah, I'm sure we will gotta figure out how, how I, how we fit into that. Gus Gagliardi: But it sounds like you got a good idea with still providing that critical large scale oversight for the, that can't easily be reproduced with the algorithm. Yep. But yeah, I guess just thinking about like What kind of resources do you like to use? Wojak it could be professional or I'd even take a non-professional podcast recommendation. If you like to listen to podcasts or whatever you'd like to offer up to the viewers. Or if you've been watching something good lately, I don't, it's up to you. Dealer's choice at this point. You've done outstanding so far. So yeah. Cool, man. Shameless plug. Like there's the reasons right now, you know, I produce it. Wojciech Węgrzyński: it's, it's a great reason. But if you ask me where I get my resources, I I'm a scientist. I, I mainly rely on scientific papers which is very difficult to recommend to people who are non scientists, because you will be very frustrated by the way, how they are written and their hard to understand and comprehend. It's very rarely you find an answer to a problem in your paper, in the, in the scientific papers. So yeah, that's what we scientists have to work with. And I guess there's a. Space for people like Gus, me and others who try to, to build a bridge between engineers and scientists. So there's, there are credible journals, fire sector, journal, fire technology, which are great sources of knowledge, inspiration. As I said, difficult to, to comprehend that points. And and obviously behind the paywall, I can go whole day about how paywalls are destroying the scientific environment and how much I had hates that. But yeah, that's, that's how it is my. I really I think it benefit a lot from being a member of like SAP and IFSS organizations. These memberships like give me the, the ability to be part of engineering community and what they produce is, is absolutely outstanding. And I must say I learn more from being part of their projects, like being part of committees, being part of even, you know, writing that hand. I would never, never learn that much about modeling. As I did, when trying to summarize my knowledge and write the, the handbook chapter and the same goes into committees. If you join a committee and you have to work at a problem and try to convey that knowledge to others, you learn so much your own on your own. So. Not just consuming content and knowledge, but trying to create new knowledge, maybe a best way to, to gain new knowledge. So I would absolutely recommend participating in in the efforts of this bodies and Possibilities are endless because the needs are so huge. There's always a committee to join and participate. So, so these are these are great things. And outside of firearms, outside of engineering, I'm a huge fan of, of fin and smart, passive income podcasts. That is an amazing ecosystem of, of very positive [00:55:00] way of thinking. About entrepreneurship and just life in general, it I've gained so much from listening to patents. He's been an amazing mentor even though he I've never met him, he doesn't know about my existence. So I view him as, you know, a God in the podcast world, but yeah, it's, it's, it's been I I'm sharing, I I'm on his journey. For years now. And I enjoy every step of that all the way. I highly recommend smart, passive income and, and just Google path. You'll find him. Awesome. Well, I appreciate that Woj. I feel like that's a nice, neat bow on the podcast. I thank you for coming on. That was awesome. Yeah. Thank you so much guys. Gus Gagliardi: Looking forward to the next one. Sounds good. Thanks for listening. Everybody. Be sure to share the episode with a friend, if you enjoyed it, don't forget that fire protection and life safety is serious business. The views and opinions expressed on this podcast are by no means a professional consultation or a codes and standards interpretation. Be sure to contact a licensed professional. If you are getting involved with fire protection and or life. Thanks again, and we'll see you next time.
Show notes and referenced links: https://twitter.com/swyx/status/1553456558264164356Old talk version: https://www.youtube.com/watch?v=IzK4IxHv3W0Join the Coding Career Community: https://learninpublic.org/Follow for future spaces: https://twitter.com/Coding_CareerTranscript[00:00:00] Chad Stewart: I think we should set up the whole thing first in case, people might be coming off the street and they don't necessarily know exactly about the chapter of the book. I definitely think you should talk a little bit about that first. [00:00:10] swyx: I do opinion introduce it. Yeah. Yeah.[00:00:13] That'd be great. Do you wanna give it a shot? I wanna see what what your take on it is. Oh, okay. Yeah, sure. I'll give it a shot. So, [00:00:20] Chad Stewart: So pretty much the idea. Well, so first of all the, currently the chapter actually is at the end of the book. And a lot of you get a lot of, the, you get a lot of other information before you get to this chapter.[00:00:32] And the kind of idea is that, all that other information is important. It's great. But if you don't necessarily know how to implement. Then, yeah, it's not particularly useful. And so my understanding, you of took the idea of hairs, things that that you could use to start implementing some of these things.[00:00:53] And then one of the things that actually really enjoyed really liked I read over the chapter again, just to to refresh myself, was the idea of not everything to use all the time. You have tactics which you use whenever they come up, then you have strategy. Which you use, like you use a little bit more often.[00:01:13] I don't remember what the third one is, but it is like levels of when you use them principles. Yes. Principles. Thank you. When you use them often. So the chapter resonated with me mostly because of a lot of the things that you were talking about is like habits and like laying the foundation for success.[00:01:30] Part we talked about it in the Mito last week in terms of keeping yourself physically healthy, but just also, it's just generally your habits, both your physical habits, like learning, expanding your knowledge, networking, interacting with people it's just having that foundation laid out so that, leveraging the other topics of the book was is what you call.[00:01:53] It was easier. I know we had that, this kind of discussion about about maybe putting it earlier in the book, but that's the reason why I decided, Hey, maybe this would be the first thing to talk about because this is something that, we talk up in the industry, but not really, yeah. So just wanted to talk about [00:02:11] swyx: anyways. Yeah. That's a great recap. Yeah, that's fantastic recap. Okay. Job done. Thank you everyone. Yeah. Wow. And you didn't even I didn't even tell you I was gonna ask you anyway. I just love hearing about it from other point of view.[00:02:23] But yeah, you can see how it's weird to put it at the front of the buzz. I have to go through and set up all the context first, which is like 39 chapters of random shit. And then but, and then I come in at the end with a really strong chapter. Right. But I think my reflection is like, Imagine you would hand it the golden book of advice.[00:02:42] Like maybe my book is like not the golden book of advice, but maybe someone else's book in book of advice. Can you convert that advice into results and the chances are, is it's no, because it's not really, you're not really lacking for advice. You're really lacking for systems to implement that effectively in your career, in your life.[00:03:03] Right? To actually put things in action and follow through on them. It's not ideas, it's execution, it's not motivation, it's discipline. And so like it's really boring blocking and tackling stuff. But then I felt like if I did not talk then everything I, everything else I talk about is a complete waste because like this that's the real sustainable advantage.[00:03:24] I think for sure, I was very influenced by atomic habits. Like you can have all the fancy trading strategies that you want, but ultimately, your net worth is a trailing indicator of your financial habits. Did you save enough? and, did you did you did you put did you pay down the interest rate on the things that you're supposed to pay down first before chasing the investment in other categories?[00:03:48] And I definitely feel like, when people give high level career advice, they tend to overstep in terms of the high stakes, the very dramatic, the very flashy, the very sexy, or very smart sounding ideas. And there's just the boring, like eat of vegetables, versions of the ideas. Isn't talked about enough when actually it is the predominant.[00:04:08] Thing to get right. So, yeah. Oh, go ahead. Go ahead. Sorry. I cut you off. Oh, no, I see you also join on your personal, so, I'm talking to two CHADS. Oh [00:04:15] Chad Stewart: yeah. One that's a duck and one that's an actual person. Yeah. No, so I would, I, so I do agree with you. But, and I guess it's I try not to say too much about the, on, on like you're delivering the chapter as opposed to the chapter's contents itself.[00:04:30] But like I do agree that, like the thing that everybody's interested in, like you said, the gold as you put it is definitely. The, what you call it the flashy advice, the, this is how you negotiate your salary. These are the technologies that you choose, as opposed to the eat, your vegetables as you call it version is, get up every day and code, get up every day and read tech, tech news, or get up every day and network, specifically the phrase network, where network is just this bland, instruction that you're, that [00:05:02] swyx: everybody gives, know, which network what you supposed to do when people say I'm gonna get up to date end network.[00:05:06] What is that? I [00:05:08] Chad Stewart: have no clue. I just, I say it all the time. And then I sit down and okay, what am I supposed to do? Ha [00:05:15] swyx: oh, but so my version of that right. Is to learn in public. Right? And I know, this, so, like it's weird to come to, to reach out, to let's, here's an unenlightened version of networking, which is.[00:05:26] You're just, you're gonna go out there and you're gonna look for some industry mentor and you're gonna cold email them and say, please, can you be my mentor? Which is an unspecified job of indeterminate length for no money. So good luck. But if you learn the public you're putting your interests out there, you're you progress out there and people can help you with specific dimensions and you can build your network that way by building up assets of value that you exchange for something else.[00:05:50] And I think that's a really positive some way to network and I highly encourage people [00:05:54] Chad Stewart: to do that. Yeah, no, I definitely agree. I definitely agree. And I guess like that's like the going back to the operating system of you is like the more kind of boring part, because that is something that you have to do all the time, it's the grind, right?[00:06:11] Like everybody is trying to tell you to grind, but they don't necessarily tell you. You know why it's important and they don't tell you that it gets boring. Well, I guess it's implied that it gets boring, but, but yeah okay. You know what, I'm just going to say that. I think anyways, you think [00:06:26] swyx: what [00:06:26] Chad Stewart: kind?[00:06:27] Yeah. What do you think? No, I was just like, I just, as I was thinking, I just hit a roadblock in my head and I just like, yeah, no. [00:06:33] swyx: Okay. That's an action cancellation, when you're playing fighting games and you're doing something and you're like, oh, Nope. oh, you on the path I want to go down.[00:06:44] Yeah. Yeah. Okay. Yeah. So, there's two things. One is keeping going through the daily grinds having good habits, letting them compound part of that is, your physical body, part of that is your mental. Your mental storage space, so, we talk about sleep.[00:07:00] We talk about building a second brain and then the third section is building a scheduler which is how do you take on multiple tasks and multitask prioritize them and then try not to drop any tasks. I think that's a very foundational skill, I'll talk about that. But the last bit I really which is to keep your kernel alive, which is the process zero, the kernel that, the process that schedules other processes.[00:07:23] And for me or for most developers that is some concept of drive, right. If you lose your drive, you burn out. And I think something that maybe a lot of people don't discuss is yeah, like there's a lot of burnout in the industry and that's of game over You talk about the differences between lasting in this industry five years versus 50 years, like it's basically, do you have a love for programming?[00:07:43] Do you have a reason that you do what you do? And I think I tend to try to remind people that it is not about chasing money. It's not just about chasing money. Money's good. But there, there can also be a higher purpose to the things that we work on. [00:07:56] Chad Stewart: I definitely agree. And I guess of going down the it's not about chasing money, it's not, so I guess my thing is, it's less about, you want to chase the thing that interests you.[00:08:08] You know what I mean? Like I, and I think that's something that like, especially in the industry, we do a really good we do a really good job of telling people that these are the things that are important and pushing up the things that they are interested in, yeah. So say, like for instance, you're just a front end Devrel and you love doing UI UX, but everybody just convinces you that UI UX is not the thing to do by the way.[00:08:33] I'm just picking this because probably because I'm most related to it, not necessarily the situation, but just the anyways. But yeah, like this is your thing, but everybody tells you, oh, you really need to get into the cloud. No something else, right? Like it's backend engineering and you do that and you get good at it, but it's not the thing like that will eventually lead to burnout as well.[00:08:58] Like it's really, at least my understanding of burnout is really when there's like the reward that you're getting for the actions that you're doing, don't match with the rewards that you want. That's probably a bad description of it, but yeah you know what you're getting versus what you actually want.[00:09:18] If those things don't align and they don't align for long enough, then you know, you just don't want to do it anymore. You're not getting properly rewarded. Yeah. For the things that [00:09:27] swyx: you're doing. Yeah. That's that's the burnouts phase. I feel like I had more to share that, but I always like to turn into a discussion, where this is an open discussion.[00:09:36] If people want to raise their hands and talk about, any of these concepts the, from the physical, to like the brain stuff to scheduling and to burnouts, we can always have that open . actually got some feedback from one of my previous spaces that apparently people can't really raise their hands until they're invited.[00:09:52] I'm not sure how this works. [00:09:54] Chad Stewart: Yeah, I'm not necessarily sure. Either. Like usually, so like you have a request button for people that are new to spaces, you have the request button and then that will tell us that you're you want to come up and then we can bring you up and then you can like, raise your hands and stuff like that.[00:10:10] I also want to point out I forgot to, to say this, but we have a link as well for a Slido. So say for instance, you actually do have a question and you don't want to necessarily come on stage. It's you can go to the Slido and just ask your question there and monitoring that. So the link to the Slido, if you notice that there's a tweet at the top of this space, we call it jumbotron.[00:10:34] The tweet has that link to that slack. Ah, there it is. Test [00:10:38] swyx: question anonymous. Yeah, that was me. That was. Oh, you see, [00:10:42] Chad Stewart: it's anonymous. You're supposed to not let anybody know. Oh, right, right, right. [00:10:47] swyx: Okay. Whoop . [00:10:49] Chad Stewart: Yeah. So feel free to do that as well. But yeah, this is this kind of an open ended que even though spaces are ne not necessarily, I guess you have to cultivate that, but yeah, this is a open ended space.[00:11:02] So if you have any questions, feel free to, to jump up and ask them, just ask them however you want. Like even feel free to to tweet at the tweet. [00:11:12] swyx: And I'll monitor that as well. This new chat feature in in Twitter. So we can try that out. Okay. So maybe I'll put it this way. Yeah. One thing.[00:11:21] One thing, one thing I wanted to offer is I think that there's an there's an image that I think you said in your recap resonated with you a lot, which is that we have principles, strategies, and tactics. We talk about the sort of three levels of applications that we offer or that we think about principles are always on.[00:11:40] Chad Stewart: Are you still there? [00:11:41] swyx: I feel like Shawn. Yeah. So strategies are like big apps. You constantly run them. Right. And you always all your datas in them. So you take your time to choose. It's like slack or discord notion of OneNote. F sketch is like a big, bigger decision, but tactics are like utilities.[00:11:55] So they're one off you, you picked them up when you need them and you drop them when you're done. So, and I really one of the big breakthroughs was really. Seeing that it align to your job strategies, align to your career and principles, align to human life. And that's the individual scale at which each of these things operate.[00:12:15] And to me, that was like when I realized that I was like, oh, okay. Each of these things apply on different time scales. And part of the joy of being human is, or having operated, have to operate all these things at once. [00:12:25] Chad Stewart: Yeah. That's really interesting, actually. Never really. I mean, I have thought about it, but not necessarily to that level of, like you said, the utilities are the things that you pick up really quickly and you leverage really quickly.[00:12:38] And then, like it's, I've just never thought about it in that kind of timescale that I thank you. I really appreciate, I'm really happy. [00:12:45] swyx: This is recording. I'm like in general I, I actually feel like there's a lot of things we can steal from computer science to run like the rest of our lives because.[00:12:54] It's and this is not a new thing. And there's a book called that tries to take a stab at this, but I think doesn't go far enough. Like one of the things that I did not end up writing about was how we do hyper parameter tuning for machine learning. And it turns out that there is a perimeter that you can tweak to essentially say how excited you should be by progress.[00:13:21] If you make some progress, how much more aggressive should you be? I think it's the alpha perimeter, but I mean, it doesn't really matter what you call it. If you tune it too high, if you tune it higher, you'll learn faster. Because if you have, if you try something, you have initial bit of success, then you're like, okay, screw it.[00:13:35] I'm gonna do 10 X more, whatever I just did. And then you're like, okay, I have 20 X more success. All I'm gonna put a hundred X more than whatever I just did. And then you find that there's a usually converge on a, some local global minimum. Minimum is a good thing in machine learning. And, but I also find there's some grads in which you can overshoot by being too excited about stuff.[00:13:54] And the fact that you have this result in machine learning that you can apply to normal human learning is actually fascinating. So I, I feel like, basically what I wanna do is take computer science learnings and apply their analogies to life. So I don't know if I lost you there [00:14:09] Chad Stewart: no.[00:14:09] I'm so I'm trying to kind imagine that as well. No, I'm just I'm listening. I'm trying, you know what, I'm not gonna lie. Some of it did go over my head [00:14:17] swyx: but it's very thorough. I feel I need to draw it out, but like at the same time, that's the point of podcasts or Twitter spaces, you can just mouth blog, the stuff that.[00:14:26] You don't dare to write down cuz it's not fully . [00:14:28] Chad Stewart: Right. And then not only that you can kinda get people's opinions on it. So like I would, so my immediate thought is that yeah, you you want to tune that, but I would also say you're not let to necessarily get it perfect. And it's just like about being constantly improving.[00:14:46] Yeah. Or, so you don't want to, you don't want to chase perfection because you chase perfection and you're never gonna get anything done. Whereas it's this is good enough for now. And then when you either have time or when you want to, at some event you decide to make improvements.[00:15:02] Right? Yeah. And the thing is you want to make improvements, but you don't want to make improvement often too much and you don't want to make improvements too little, [00:15:12] swyx: Yeah. So, so we have a principle, right? Good enough is better than best. Stop looking for things that are best because that involves obsessing over benchmarks, carrying what influencers think, keeping up with everything new.[00:15:25] And when you obsess with good enough, you turn from the external facing point of view to the internal painting. Point of view, you focus on what you need done. You focus on what you need, well, and you focus on what you enjoy and once you hit good enough, move on. And I feel like that's a fundamentally healthier with life, I guess.[00:15:41] Yeah. Yeah definitely agree. Question. Oh, so thanks for, so whoever submitted that Slido that is our first submission. So we do have a Slido pinned to the top of the thingy, the space. Yeah. Twitter should just build this instead of building like co tweeting or or like the hot take reaction button or whatever that is which I'm also very.[00:16:03] Kind of miff that I didn't get, but whatever, like it's just real, it's just like a really weird feature. Nobody wants to run that company going on. There's no adults supervision going on in, in that company. So the question is, what are your favorite calendar hacks. Do you have any chats?[00:16:19] Chad Stewart: I don't know, so, okay. I guess, let me think. Man, because my whole calendar strategy is, I don't even know if I wanna call it a hat, but so something that I do is that I will make a calendar event. I don't know if it's a hat, but I'll make a calendar event. And I always make the calendar.[00:16:35] I always make the event also happen like at 8:00 AM in the morning so that, my day starts and it's oh, okay, I have this is the stuff that I want to do today. And then it will tell me obviously when the event is going to actually happen. And so I set an alarm on my phone for that time, but I set it for the, for 10 minutes before, and then I just hit the snooze button.[00:16:56] I don't know if that's helpful, , but like it, I'm just like it. I very rarely miss meetings because of that whole setup, [00:17:01] swyx: yeah know. Yeah. That's super smart. I wanna offer the operating systems analogy, right. Which is amazing. We, for someone like me, I, I never really did an operating systems course, but I just I pulled up, I watched some lectures and I pulled up some texts on that and just read the basic, overview of stuff.[00:17:20] There are scheduling algorithms for processes and it, and one of these I wish I could show an image here. I can't really show an image. So there are three main things that you wanna have, right? You wanna have a single source of truth to store all the queues that you're on the task uses that you're accumulating.[00:17:36] You wanna be able to prioritize, so you need some kind of garbage collection slash planning period. And then you need to batch work. So you reduce context switching. So, the first algorithm. Is basically just process scheduling queues. And I'm just gonna read from this slide. It says process migrates among the queues throughout this slide.[00:17:52] So, I have an image here of what a CPU does to do scheduling or what an operating system does is do scheduling has a ready queue in IO Q and it waits for child execution and it waits for interrupts. And those are. Analogous to the types of things that can come into and out of our operating system and the next task, I think is really interesting.[00:18:11] There most job pool systems have a long term scheduler versus a short term scheduler. So you can, you have a long term storage of jobs. You pop some off into a ready queue for your CPU, which is. To process. And that goes from long term to short term. And once your short term scheduling is done, you put the, put it back into either your exit or if you can't finish it, you put it back into a waiting queue.[00:18:34] That's just such a really good analogy for the stuff that you have to do long-term versus the short term and to manage it really well. There's more than that. There's like other decisions. There's also ways to decide about scheduling. So for example, you can design by requirements, you scheduling criteria, you wanna maximize CPU that utilization and you wanna maximize throughput.[00:18:53] In other words, you wanna maximize, the amount of resources that you're, that you've utilizing, and you wanna maximize the amount of work that you're doing. You wanna minimize turnaround time. You wanna minimize waiting time. You wanna minimize response time. In other words, like when people rely on you, you want to have your operating system work and in such a way that they get response in some kind of minimum as LA.[00:19:12] All of these are just like very reasonable requirements if to design for, but because we don't really design our own operating system, we, the emergent property is that, well, sometimes I take two months to reply to an email cuz , cuz I'm still working on this. But I think having.[00:19:26] Desirable properties and then working backwards, scheduling algorithm is, can really help. There are, there's a whole like library of them. I'm just gonna read some out for people to search there's round, rubbing round Robin scheduling, shortest job, first shortest, remaining time priority scheduling first come first serve.[00:19:46] And then the most complex one, which is multi-level Q scheduling. Those are the in terms of my sort of research. Those are the scheduling algorithms that I researched. I don't know. Does any of those appeal to you? ? [00:19:58] Chad Stewart: It's hard for me because I'm trying to imagine like literally the process, and as you were mentioning, like you have a lot of the kind of images I'm trying to imagine.[00:20:06] A lot of the [00:20:06] swyx: processes it's got for audio only medium. Maybe I'll tweet it out and then I'll attach it to the, I was [00:20:14] Chad Stewart: about to say the same thing. I was about to say the same thing. It's [00:20:16] swyx: just okay. Yeah. No. Go ahead. Go ahead. Yeah. Well, I'm just like, I think like whatever this is we should research the, like scheduling the philosophy of scheduling or the algorithms of scheduling are not limited to CPUs are not limited to operating systems.[00:20:30] Like we could just use them for ourselves. Why don't we use them for ourselves? That seems right.[00:20:38] that seems weird. So, so yeah, I mean, that's my essential assertion and I've been researching this for a while. I've got one more, but if no one, and obviously if anyone has like comments on scheduling systems that work for them you can jump on in. So, you want to work on all these prioritization.[00:20:53] There's a really good article from Sarah ner. It's basically on prioritizing how she works on that. She used to be my boss at nullify. And she says lately I've been working on grouping similar tasks. For example, meetings should happen in succession because it's easier for me to jump from one to another than it is having an hour in between.[00:21:12] I'm more keen to communicate with others on Monday when I'm getting the lay of the land towards the end of the week, my energy is higher. If I'm dedicated to coding, especially if I've allotted uninterrupted time. So essentially what she's telling you is like she's observed herself, what she prefers to do during the week.[00:21:26] And then she's allocated her calendar accordingly. And I saw that I worked with her. I worked for her and Thursday was her. And blocked day to, to work on individual projects. And Monday was the was meeting day. And I definitely think some of 'em are batching actually helps with scheduling because of contact switching and also adapting your own task to whenever you feel like you're most, you're most attuned to finishing them.[00:21:48] So, I thought it was really useful. The article, I think is CSS trick.com/prioritizing still one of the best prioritizing articles I've ever read. I should be tweeting this up, but like, where do I attach it? Do I attach it? [00:21:59] Chad Stewart: So when you tweet something it's weird, when you tweet something, you have to go and then you click the share button in the tweet.[00:22:07] And one of the, one of the options is this. And then you'd be able to put it up in the jumbotron, but it's funny that you mentioned that cuz there is an actual question here that was talking about how do you keep from changing focus too quickly? And I think you did a good job of, of talking about that to be quite honest with you, like act I would even go as far to say that's something that I struggle with even though to be fair.[00:22:33] I'm actually fairly good at context switching, but I never I really think about my week I'm like the furthest I would go is like my day. Like I'll just organize my day in a sense, and I don't necessarily organize my entire week in terms of my level of energy throughout the week.[00:22:52] Oh yeah. It's just always this assumption that my, my level of energy is going to be the same unless an event happens, [00:22:59] swyx: so the most opinionated advice I've been given. So, now that I'm a manager. Is it's weird to have opinions on day of the week. Like what you should do on the day of the week.[00:23:09] It's like they be the same as Friday. Obviously not cuz like Friday, you're like close to weekend. But they're like schedule your one-on-ones earlier in the week because if you need to bump them, you can bump them later and it's still the same week and I'm like, wow, to have such strong opinions on this.[00:23:24] This is is pretty special. So I think that's definitely true. We have Fridays at air by as well. So I think that's, that can be really helpful. And yeah, just scheduling focus time for shipping long projects and then scheduling, scheduling, meeting times together.[00:23:36] I think definitely is very useful for for batching. No, I definitely agree. [00:23:40] Chad Stewart: Oh, sorry. Go ahead. I cut you off. [00:23:42] swyx: Well, calendar there. There's one person saying calendar hacks, right? I think I would be remiss. I didn't mention the ultimate calendar hack. If you do a lot of external. You should use ly.[00:23:52] I uses cow, which is a ly competitor. It's basically the same price, same it's got slightly different features. It's got slightly nicer design and it's by Derek Reimer. Who's a indie hacker. So I just choose this indie hacker that I know compared to a $4 billion giant. But yeah, I think the stigma around can Lee has gone away despite what some venture capitalists mentioned.[00:24:13] And it really saves time scheduling, with the email ping pong of what type available, if you're three times that might work for you, so yeah, that, I guess, as far as hacks go, I think that's a big one. [00:24:23] Chad Stewart: Yeah. I definitely agree. I, which is funny.[00:24:26] I don't even use it as much something I've seriously been contemplating mostly cause I had a lot of people kind reach out, but yeah, I definitely agree with that. So something I also, which I actually struggled with, I would also like kind having just one place to view your entire calendar.[00:24:42] Yeah. So if you have a personal calendar, right. Because you may have a work email, like that is also a big deal as well, just so that, you, don't schedule something when you just simply couldn't see that you had another event, even if it's just like I have two calendars now, one for work and then one for my personal thing, and for whatever reason, it just says busy, doesn't say the actual event, that definitely has been like big [00:25:06] swyx: help as well.[00:25:06] You can tweak that into settings. So yeah, I have it set up so that my personal reflects onto my work and yeah, I try to manage, sometimes I get double booked, which is very annoying, but I mean, it works. I wish Gmail would make it more native. Cuz sometimes I have lesser use emails for business stuff. And sometimes those have calendar events. it starts to break down after a while. yeah. Yeah. Oh, go ahead. Calendar hacks. Well, so there's, there is an app called I think it's k.com. It's a, it's one of those YC sort of superhuman for calendar apps. I haven't personally used it, but if I just wanna mention it, cuz it always is in the mix when someone else is talking about this.[00:25:46] Oh, it looks like they got a corporate notion. Oh, not too long ago. Last last month. Interesting. That is either positive or negative. They didn't mention the price. Interesting. [00:25:57] Chad Stewart: That's like the exact, they do exact same as, I don't know, [00:26:00] swyx: to see it's an IDK, but if they were yeah.[00:26:03] Whatever. Anyway, I think I applaud them for trying. I think there are a lot of people also trying to do AI scheduling for for your calendar. So if you just plug it in, they will try to find the best slots for you and optimize your meetings. I haven't really heard from anyone who's used that positively, but I think there are all these people trying to do time block planning for you.[00:26:21] I tried AKI flow for a while, which is a really good time block planning app. It was just a bit too resource intensive for me. And I've given them that sort of performance feedback. Ah, okay. I wanted to throw before we get off this calendar hacking, cuz that there's been a couple other questions that came in on the Slido before we get off the calendar hacking I wanted to go through what I got from calendar port.[00:26:40] So for those who. County Park's fairly famous. So it, I, first of all, I find this his distribution strategy. Very interesting. He very famously does not use social media. But he just writes really good content and then lets other people on social media tell others about him. So I feel like in doing this on this space, I'm of doing his bidding.[00:26:59] It's weird, but it's just a good idea. So I'm just gonna share it. So, he has a podcast. So counterpoint is the, is a computer science professor, but also an author. He wrote deep work, which a lot of people know him for. And he has a podcast called deep S where he goes a little bit more into the ideas behind his book, by the way, every book should have a podcast.[00:27:17] Every book should have a community because then you can engage more with the ideas. It makes you reading much more worthwhile. That's why I do this unity thing. But anyway, so, he actually imple, he actually came up with a genius implementation of how to get control of your time.[00:27:32] It's I think a lot of the scheduling comments and ideas, especially the stuff that we just said, it's oh yeah. I've read it uncles like these. And I, my life hasn't really materially changed cause I don't really have a game plan to implement them in my life. And so he gave it a, he gave it a shot.[00:27:45] He actually did a Dave Ramsey style list of baby steps. Like a seven step plan to. Get control of your life. And I think this is episode 180 4 for people who want to listen to it. I have it clipped on my own mix tape. If you wanna go to Swyx mix tape, or you can go to his podcast but I'll just give you a preview for those listening of this, because I just thought it was so good.[00:28:08] And I thought it was so well matched. The scheduling analogy that we are setting up for the operating system of you. And I just, I cannot think of anything better because he'll even sequenced it correctly all, so let me just get into it. And then we'll talk about the meta. So the first step outta seven is time block planning, give every minute a job, right?[00:28:23] It's no use piling up task in your to-do list. Because you don't ever have a plan for when you're actually gonna do it. So you're just gonna accumulate a giant back level to-do list. You're gonna feel guilty about yourself, and then you're gonna eventually start over and have a new list because your oldest filled up with too much.[00:28:38] So time block plan is basically saying, use your calendar as your to-do list. I have about this, that I can go back and pin, but I think it just makes a lot of sense. If you don't have a plan for setting aside time to do a thing, then you don't have a plan to do it at all. Great.[00:28:50] So I, yeah, I, which is like super brutal, right? I just I mean, it's a lot of work, but I'll put things like read, article on, in a five minute, 10 minute block on my calendar. And that would actually work. I'm pinning it now to the channel. If for those who have never heard of time block planning he has a book, I think he's called time block planner.com.[00:29:08] If you like to, every productivity influencer eventually sells you. A journal of blank pages, right? Whether it's the bullet journal guy, whether it's like the, the time block planning guy, everyone's like, how can we sell you a book of blank, empty pages and make you pay like 23 bucks for it.[00:29:25] But I think it's, , it's worth it. But this, I mean, it's not really about, obviously it makes more money elsewhere, but I just think it's funny in the evolution of influencers, like eventually you shall grow up to either sell your own burgers. If you're Mr. Beast or you shall sell your own productivity planner.[00:29:40] So, so that's the first part of seven, which is time block planning. I think that is a really good baseline to get into the habit of planning out your day consciously and. Making sure that you have space to do the things that you sign up to do and to drop or schedule elsewhere, and the things that you don't have time to do.[00:29:58] Then the second thing is to set up task boards. I think this is biggest Trello a bunch of boards keep track of every task. And in other words, you need to stop drop, right? Like anytime anyone has any expectations on you or you sign up to do anything needs to go somewhere, needs to go in a trusted place, needs to go somewhere, cross platform that you'll see it and you'll address it.[00:30:15] You won't just leave it hanging. And for him, like one, what the value add for him here was he actually gave suggestions on what passports to have, because I think you can have way too many. And that starts to be really really unmanageable as well. So he has four, he has this week, he has ambiguous, he has major projects and he has waiting to hear back.[00:30:35] And I like, I really liked that last one waiting to hear back, which means let's say I do a task this week. And I'll do it. And usually it depends on someone else. Right? Usually I'm like, I'm sending email and I'm like, all, this is long-term project and I'm done with, it goes off my board. And then let's say the other person drops my task.[00:30:50] I don't have a process to go two months later, I go Hey, wasn't I, well, they're supposed to get an email for this and stuff to gets dropped and doesn't get done. So you move a task once you're done with it to waiting to hear back column if you're relying on someone else. And I think I think that's a really fascinating system that that sets this up.[00:31:06] But you realize like this is the first time you start to intersect between long-term planning and short-term planning. The time block plan is for your individual day and the long the task board is for your, your weak plus minus you. Two to three weeks. And I think that makes a lot of sense.[00:31:20] In other words there, there are a lot of things where you cannot use your calendars, your to-do list, cuz like you don't particularly have a time to do them when so you just set up a task board and then and when you do your weekly planning, that's when you move your task board into your calendar, your daily calendar and you set aside that stuff that you sign up to do that makes just a ton of sense.[00:31:38] I, I, when I looked at this, I was like, oh yeah. I mean, out of all the productivity systems that I've seen, like all them were too complex. I couldn't really keep up with that, but I can do these two steps. The third step is full capture. So for him and this is very much a getting things done GTD which is the.[00:31:56] Manual of the of the productivity industry. It's by David Allen. David Allen is a podcast where he airs the entire audio of his GTD workshops, where people pay thousands dollars to list to it. And I've been of going through it. It's really super long, but his examples are super good and it's all free.[00:32:12] So why not? If you want to, if you wanna, if you're interested in getting things done and who the hell is not interested in getting things done it's such an fantastic name. I wish I thought of it. Third step is full capture it. By the end of every day, every obligation has to be out of your head in a trusted system.[00:32:26] What are your trusted systems? There are three trusted systems that he has. One is your email inbox. Two is your calendar. Three is your task board. It should, nothing should exist in your memory because you, your memory's unreliable and you will forget. And you and so I just think like establishing this as a harder task role, it's just such a good thing, because then you have a clear mind to have your personal life.[00:32:45] To enjoy yourself to do go do whatever, because you can pick it up again when you get back to work, but otherwise, how do you enable work life separation? If you're thinking about work while you're still in the rest of your life, like you need to unload. And it's of like a weird operating system thing where, you know, when you spin down your container or whatever, you wanna save your state.[00:33:03] And I think those trusted systems are super. I'll go through the last four really quickly. Four is your weekly plan. So going from daily to weekly at the beginning of each week, build your plan for the week block time for your critical things and make your daily time block plan.[00:33:15] Five is your strategic plan. So now by by stage four outta seven so let me recap. The four first is time block plan two is set up task boards. Three is full capture. Four is weekly plan. So by stage four, outta seven, you should have your week in order. Like every. You should have a plan for that week.[00:33:31] You should you should be much in a much more productive phase in your life because you, or at least know, what's going on. You're being proactive about your time. Five is your spend setting your vision for your professional life on a court annual basis, five year basis, 10 year, 20 year, 30 or 40 year.[00:33:46] And it then eventually feeds into your weekly plan. So this is much more strategic thinking. Six is automate and eliminate. So this, like he leaves the automation step all the way to the end. So basically saying I will source it to an executive assistant if I want to I will reduce the round of context switching by trying to batch stuff like this is off, we talked about with Sarah ner will say no to things that we've signed up for.[00:34:05] And when I look at the totality of everything I want to do, this just is like priority number seven and add to it. So. Let's just not beat around the Bush. I'm just gonna say no to this. Right. And leaving and stepping away from stuff is the most high leverage thing you can possibly do, because that gives you more time to focus on the things that really matter to you.[00:34:22] And yeah, I mean that, that is so brutal, but it's still clear. And then finally seven out of the seven step he says, go for it. Like basically once you have control of your time, take more ambitious projects at big swings because that's the way to build a fantastic career. So, what do you think the seven step plan?[00:34:37] Chad Stewart: No, that's pretty, so, I alright to be, I was trying to absorb as much of that as possible. Like definitely. What was it for me personally, I have the biggest issue with like I do. I have a lot of things that kind of live in my head and I try to put as much of it as I. In places as possible, but to be quite honest, a lot of it still lives in my head, same, and so definitely that's the thing that resonated with me the most. The second thing to be quite honest also is giving once you have everything, when you see like the priority of things that you have, no, being strong enough to be like, look, this is just not going to get done.[00:35:18] I can't get this done. And to just freeing up your time, because I'm definitely one of those people that will be like, Hey, can you do this? Yes. And I will grit my teeth. Yes. And do it anyway. And I just don't have a lot of time for myself. Like me personally, I'm trying to learn more system design stuff because that's my interest.[00:35:39] And I find that I do a lot of my system design stuff at nine 30 at night when I'm trying to get to bed at 10, you know what I mean? Yeah. And I'm like struggling through it and I, I keep up the habit I'm doing it, but, I don't feel like I'm retaining anything, but at the very least I'm keeping up the habit, like it's, that's wasted in my opinion or potentially right.[00:36:01] Because I don't retain anything. So definitely just I don't have the time to do this, please, [00:36:08] swyx: you're gonna have to figure that out. This is the fine art of making time, which is fantastic. Okay. So yeah. So first of all I, and I had, I got a little bit better about this over the past two years.[00:36:17] So you must have an app in your phone that you can just dump notes to yourself. It's, it must be offline first. It must sink every. And you must trust it kinda completely. Right. So for me, it's my second brain. Which I use obsidian for and sings the GitHub. So I know if I ever lose it, if if anything, any data ever corrupts, I can just go to GitHub.[00:36:37] And I think you can use notion for that. You can use things, you can use apple notes. Doesn't really matter. There's this meme, actually, this week, you saw that meme, right? The apple notes meme. It's the tools for thought people you start on with the low IQ people using apple notes, and then the mid IQ people start using.[00:36:54] I don't know, Rome research and obsidian, the things . And then the really high IQ people just back to using apple notes again. I think that kind of makes sense for sure. Jack Dorsey talks about his to-do list and he keeps it in apple notes. And if that guy can run his life on apple notes, why can't you[00:37:11] So I mean, not that I hold him up to be like the Paragon of, of human being, but you can't deny that he's been successful. Right? Right. He has a don't do and don't list. I feel like I clipped this before, but I'm really gonna have trouble pulling it up because I clipped this a long time ago.[00:37:29] Maybe I'll just Jack Dorsey, maybe I'll oh, no, I don't have that. Jack Dorsey don't list. Yeah, won't do list. Okay. Okay. Yeah. It's just Google Jack Dorsey. Won't do this. He talks about this in 2018. And I just thought he's just fantastic. Oh, here's this here? He says, okay. It's apple notes.[00:37:45] Oh my God. Okay. He says today, do meditate, workout, tweet, aggression, read, write, consider, follow up. Won't do alcohol, just decided on, he just has a list of like stuff that he just won't do. And, it looks like he's so, he's just always every single day, he just wants to not do alcohol.[00:38:04] And I think that's a super useful question. And then for and then he falls, he finishes off his day with daily questions. What truth did I discover? What am I grateful for? And who did I help? I, this reminds me of actually Benjamin Franklin. Like at the end of his day, he would talk about what good I, what good did I do in my day today?[00:38:20] Like how did I benefit humanity? And I think like having that reflection and consciously living towards. Some small set of purposeful goals, like really helps to align yourself. [00:38:30] Chad Stewart: Definitely agree. As you were say, as you were saying, all of that, the first thing that kind of run to me was atomic habits.[00:38:37] And how one of the stories that the author told was James clear. One of the stories that he told was how he had a friend who was trying to lose weight. And one of the questions she would ask herself is what would a healthy person do? And that effectively became the guide the guide for her.[00:38:57] Not necessarily her life, but her weight loss goals is that she would just always ask that question and it made it more of an intrinsic motivator for her. I, I know in the book he has like levels of, I don't know if it's motivation, but it's like where you want.[00:39:11] To get the drive, to push yourself to do habits. And you have things that's you, your ex, when you have an external motivators, like you want money, you want fame or you want something to pull you towards it. And then when you like the, what he's getting at is you should be more intrinsically motivated where it's you want to be pushed by an idea.[00:39:32] And then that idea is the way you think about you both approaching the world in a sense, yeah. So I, that was like the thing that kind of run out to me as you are, as you're going through the list, it's also very interesting that he that Jack Dorsey takes the time to be grateful.[00:39:48] I feel like that's something that we tend to be very forgetful about, is just like a lot of the times where we're in a very privileged position. Like not to say that everybody is in a great position, but we're a lot of times we're in a very privileged position and is just like being grateful for all the things that we already have, while still trying to achieve more.[00:40:07] It's just interesting that he has that. [00:40:10] swyx: Yeah. Have you, have I read you my favorite quote on motivation and intrinsic pharmacists. Okay. Let me attach it to the tweet so that other people can read along. I read this four years ago and it really. Has guided a lot of my career choices as well.[00:40:25] By then, so I've just pined it up for those following along. And it's from Dan Pink's drive and he calls it extrinsic promises, destroy intrinsic motivation. As children, we are driven by our inner desires to learn, to discover to help others. But as we grow, we are programmed by society to need extrinsic motivations.[00:40:43] We take out the trash, we study hard, we work tirelessly, we'll be rewarded with friendly praise, high grades, and good paychecks slowly. We lose more and more of our intrinsic motivation because extrinsic promises destroy intrinsic motivation. And I'm just like, wow. Yeah, like how much do I, not how much do I do anymore?[00:41:01] Or don't do because no, one's paying me to do it. So I don't do it. And and how different is that from kids who are like, yeah, this looks fun. Let's just go do it. Let's just write out, [00:41:10] Chad Stewart: yeah, no, it's, to be honest with you, I would even go as far as to say that The way I do everything is I guess it's chasing that original kind of ideal of this is just something interested in doing, and I'm just like, I'm just trying to put position my life in a place where it's I can get back to maybe not necessarily reacting oh, this is interesting.[00:41:29] I want to attempt this, but I have all of these other things I have to do, I have all of these other responsibilities or just things that I said that I, well, I guess, responsibilities. So I was just trying to getting back to that, but yeah, it's. Yeah, [00:41:43] swyx: definitely. Cool. Cool, cool.[00:41:45] Did we talk about what keeps you, so we're going back to questions on Slido. Let's finish these out. There's three more questions. What keeps you from changing focus too quickly? Do we talk about that? Yes, that was like things we talked about. That's cool. It's cool. If anyone has has follow up questions, obviously feel free to chat.[00:41:59] Let's go with some more can you share some examples of how you specifically implement operating schedule OS scheduling concepts into how you design your week advances task and doing, thank you. Yeah, so, I think we talked a little bit about the planning phase for, if you, so I listened to the manager tools podcast, and I listen to county reports podcast, and mostly you wanna do your planning on.[00:42:20] Monday morning, you only plan a week out. Right. And part of that is going to be determined for you. You have weekly standing meetings, try to have one-on-ones earlier in a week. And then towards the end of the week, try to do what they call a 15, what they call a 15 five writeup, which is essentially sum up the week in 15 minutes so that you yourself or your manager can look back and track like what, your progress and how you think your week ran.[00:42:46] We have a limited amount of these things, and I think it's incumbent upon us to not let every week go by business as usual going feeling three outta five, instead of a four outta five or 505, like you wake up too many times in the same day, in the same week and are not excited about what you're doing, then we need to start changing that.[00:43:02] Right. So I think for me, that. Well, one thing that I'm part in particularly working on right now in terms of operating, scheduling, operating schedule concepts it's very much the queue thing, right? So I tweeted out earlier it's pinned up here on, on the tweet stream, but having those task boards are basically, which are basically task queues is exactly how an operating system would work.[00:43:23] And you need some sort of scheduling algorithm to prioritize them and take them off of task use into your short term task list, which is the linear sequential list of things you're gonna do throughout your day. EV every single one of us has 24 hours. We hopefully work eight, I don't know, eight to 10 hours a day.[00:43:37] And that's all we have, right? So we have to make the most of what we do there. So, the way that we translate task list to our calendar is essentially the scheduling problem. And I think that, the whole analogy of, what is an operating system, but a general. Way to run a bunch of applications and applications generate tasks.[00:43:55] And we're running those tasks on limited hardware. That is that hardware is our bodies is our time. So it's an optimization problem. We study this algorithm extensively in operating systems. It's time to apply it to. Our own time. [00:44:09] Chad Stewart: so I have a quick question. What happens when you have say for instance, I guess an emergency, yeah. A task comes out of nowhere. It needs to get done. I guess now that I'm thinking about as literally, as I was talking about it, I was reminded of one of Greg's tweets that he mentioned [00:44:27] swyx: GGE he's Hungarian [00:44:28] Chad Stewart: GGE. Thank you. Thank you so much. I've had no idea how to pronounce his name. I know GGE yeah.[00:44:33] GGE one of his, [00:44:35] swyx: try his last name. If you wanna challenge. Yeah, I'm good. [00:44:37] Chad Stewart: Nah, I'm not trying to advise myself, [00:44:39] swyx: but yeah. [00:44:40] Chad Stewart: One of, one of his tweets that he mentioned as a, as an engineering manager, which is essentially, everybody comes and says, oh, we need to get this task done right now.[00:44:49] I hold too much into it because I actually still want to ask the question, but like, how do you not, yeah. How do you how have you dealt with the, the reactionary tasks that come? What, how do you, how have you sorted that out? [00:45:02] swyx: Okay. When emergencies happen. Right. First of all I don't know.[00:45:04] I don't feel like I have that many emergencies. So maybe I'm not that experienced. If anyone else has more experience, more advice, please jump in Jay. You're always a good in our sessions. You're always a good source of advice and wisdom. So now feel free to jump in on that one. I think most things are movable.[00:45:23] And if you just tell people in a very reasonable tone Hey, we had this prior commitments, but this other thing came up and here's why I have to drop you. They'll understand. I think the fortunate thing about being in knowledge work is that usually not firm deadline that you cannot move for valid reasons.[00:45:37] I think just having clear communication and knowing what commitments you've made, being able to ping back essentially have a webhook on your commitments and say Hey, like I gotta job you. I, I got this other thing going on. I think that's the fine way to do it. Yeah. I guess [00:45:51] Chad Stewart: it is like you have to have, you also have to have that level of, I don't know, because I feel like I have the opposite effect where it's just Hey, I have something really important I need to do.[00:46:00] And then the person's yeah, I'm the most important thing. Why aren't you doing it? But [00:46:03] swyx: I'll say one. Yeah, sorry. Having slack is really good, right? You don't wanna run a 100% utilization, just like saying any any cloud service, any I don't know, cluster of any data center. It is actually a bad idea to run.[00:46:16] Try to run your your app, your applications, or your server cluster at a hundred percent utilization at base load. You want to have some slack, you wanna maybe run it 60% so that when bikes happen, you have the ability to absorb at least a little bit of emergency workload. So I, I do think that's true.[00:46:32] That's obviously not what you wanna hear as an employer, to have your people slacking around for some time. But I do think if you are a knowledge worker, if you're a creative worker in particular we should work like lions instead of cow. Right. We should sprint. We should hunt. And then we should laser around waiting for the next big hit.[00:46:50] Whereas for cows, you're just constantly grazing. And so we are not factory workers. We're not, we're not on an assembly line. Humans have, hot streaks and cold streaks and hopefully we just have, better hot streaks than we have cold. But I do think that someone on slack is important.[00:47:03] Chad Stewart: So I'm I'm not at derail the entire conversation, but when you said slack, I was literally like, oh wow. Slack the application. I'm sorry. I just had to make that joke. [00:47:13] swyx: but [00:47:13] Jay Massimilano: pretty Kathy Sierra said something. Yeah. Hey, this is Jay [00:47:17] swyx: that similar, right. Let me introduce Jay. Jay is one of the I don't know what he's doing in our community, but like he's one, like by far way more experienced than any one of us in software.[00:47:26] And he's, yeah, he's one of the biggest source of advice. So I'm super happy that you hear man. [00:47:30] Jay Massimilano: Well, yeah I learned a ton from this from the coding career meetup and I'm, I love that it's I've learned a ton, so it's, that is it's. I think it's, I've learned more than what I've said for sure.[00:47:42] So on, on the topic that you're mentioning about that you'll have to be like lions, Kathy Sierra I think it's in somewhere she's published a while ago. She said only in, in the tech industry, you are expected to. So if you're in medicine, you get to practice what you do is called a practice, right?[00:48:02] So you, and even if you do carpentry or anything, there's always throw away work. You practice, you train for a bit and. You do something new, right. But only in our industry, we expect you pick up a new tool and deploy that to production. Like without any gap or without any element for throwing things away.[00:48:19] Right. There is, there's just now we are not allowed or at least it's just been culturally, not common for us to for a company to allow us to experiment and throw things away. If you start with a new tool, it needs to be you have to take it to production. And maybe a lot of her problems are because of not allowing for throwing things away, work away.[00:48:37] Right. But and she says like in medicine, literally what they do is called practice. But not, that's not the case in ours. So there has to be a lot of learning and I think like when you say lions, it's like, You learn, you compress all your learning digested, and then when you're ready to P your, what exactly you're doing and it's, the output is professional.[00:48:58] And at least in real world, when I, the work that I've seen that we have done when we pick on pick up new technologies and so on is it's usually we implement it wrong. The first version that goes out is, and it hurts customers and not right. And it so yeah, when I when I heard the line thought that's what came to me, what Kathy Sierra said, you need to back more.[00:49:20] swyx: Yeah. Is that any is so Kathy Sarah left the tech before I joined. Okay. She was harassed off of the tech. I. Is that a book? How do you come across her work? She she had a hype, [00:49:32] Jay Massimilano: Head rush. I think her [00:49:33] swyx: blog rush head first [00:49:35] Jay Massimilano: head rush. Let [00:49:37] swyx: me look up. She used to write the head first books. That's how I know her.[00:49:40] Yeah, that, that [00:49:41] Jay Massimilano: is she wrote a blog on headrush dot hype ad.com. It was one of the first blogs I read when I bought my computer. So it's not online anymore. [00:49:50] swyx: Typepad no, I found it. I found it. Oh yeah. Head address that Typepad [00:49:53] Jay Massimilano: yeah, that's a it's it's still online. That's great. Yeah, it's, A's a well up information [00:49:58] Chad Stewart: probably should tweet it and so we can [00:50:00] swyx: post it up here as well.[00:50:01] I'm adding into my thread. So if anyone's following along there is pin tweets at the top of this space and I've just been taking notes. Just cuz what, cuz I love show notes. I love giving. Homework[00:50:14] you guys know that, right? That's awesome. Yeah. Yeah. I mean, Kathy, the other thing that, that Kathy is famous for is the fire flower, right? The there's the picture of the Mario this picture, the fire flower. And then there's a picture of fire, Mario. Yeah. And most vendors or most entrepreneurs try to sell the fire flower when actually users wanna be the fire Mario.[00:50:32] Right. [00:50:33] Jay Massimilano: And I don't know I really miss her. She was one of those who mixes, who I think her LA her most recent book was, is called badass. Yeah. And I that's her jam. Like she, she really care thinks about how to deliver something. Like how creating an impact on the person who is consumed who is using work like, and her advice is around.[00:50:54] For creators, how to make impactful work, how to do impactful work. So, and yeah, I think anyone who has, if you have not heard it I'm sure a lot of people here have never heard [00:51:06] swyx: yeah. I mean, it looks like she stopped blogging in 2007. So this is a long while ago. Yeah. [00:51:10] Jay Massimilano: She was she was docked and someone harassed her.[00:51:14] Yeah. Yeah. And she had leave the scene and yeah, I wish we couldn't have her [00:51:19] swyx: back. Yeah same here. But maybe maybe I'll request this from you, Jay. Because you are very familiar with her work. I love a thread of the best of Kathy Sierra, just write that.[00:51:29] Is he still here? He's just dropped out. [00:51:31] Chad Stewart: Twitter spaces being Twitter spaces. [00:51:32] swyx: Oh man. Oh man. I just made a big ass to him and then he dropped out. Ah, I mean the space is recorded, so it you're still hack. I [00:51:44] Jay Massimilano: had a time limit on my iPhone for one hour Twitter.[00:51:46] swyx: Anyway yes. No, so no, I was basically asking you since you're the Kathy Sarah expert. Can you do a best of Kathy Sierra so that other people can benefit? I, yeah, [00:51:55] Jay Massimilano: I will definitely write one. For sure. [00:51:57] swyx: Just do a Twitter thread. Just go here's like top five things you need to read.[00:51:59] Yes. Yeah. Cool. See content idea, right? Yeah. and it's really not that hard. Like people are interested in like superlative, like best of worst off first time, last time whenever. Yeah. There [00:52:11] Jay Massimilano: are other folks who are also close to her maybe than even know her personally Ryan singer, who used to be at base camp.[00:52:15] swyx: Wait, is he no longer at base cap? He's no longer at base after [00:52:18] Jay Massimilano: the a year ago. [00:52:20] swyx: Oh yeah. I thought he was one of those. Okay. Okay. Yeah. [00:52:25] Jay Massimilano: Oh yeah. So he's no longer at base camp. [00:52:26] swyx: Yeah. Yeah. [00:52:27] Jay Massimilano: He also speaks very highly for like in his work. He Heights are. [00:52:33] swyx: Cool. Well, you can do the same. Yeah, sure.[00:52:35] Yeah. Cool. Cool, cool. So, yeah. [00:52:37] Chad Stewart: Yeah, so I actually wanted to ask, I mean, I think this is one of the, one of the last questions was how do you manage emails? Do you have something like K screener or something like that? I guess wanted to point that out there. Oh [00:52:50] swyx: man. Can I just say I paid the $99 for hay and it was very disappointing.[00:52:57] It's supposed to be fast. It's supposed to be like a new invention of email, whatever. And it was so slow. Every key press took like a second to resolve. I don't know what people's experiences were here, but I was in Singapore at the time and it just didn't have Singapore service or something, but it was just unacceptably slow.[00:53:14] But the screening I thought was interesting. I think it's over, maybe over-optimized for screening things out. I used superhu I've just canceled it. Because I think superhuman, the thing about superhuman is fantastic. Local productivity with shortcuts and offline syncing, right? That is what you want for the fastest possible interaction with your email.[00:53:34] And you've got nice scheduling. They've got nice, learning curve as well as they'll rewards you for reaching inbox zero. Something that they suck at, which I need is filters. It's to set up filters to say all these patterns of email, they come in, I want to go tag them here, archive them, delete them, do whatever.[00:53:51] Right. And they haven't implemented that in four years of existence. So I just, I got tired of waiting and paying, $300 a year for this one missing functionality. And I'm going back to Gmail.[00:54:01] Chad Stewart: How oh, so how do you, I guess, how long have you been using Gmail? I guess how long have you been since you've returned to Gmail? Cause I wanted to pick your brain on some of the [00:54:11] swyx: stuff that you do with Gmail now. Oh, I mean, yeah. I mean, well, I never really left, but guess I'm back on Gmail now.[00:54:17] Yeah. Not too long like a few weeks. I've like I've given superhuman a try twice. One once when my employer paid for it and then two on my own. But I, it just I need filters. I need to be able to easily set up filters and everything else. Like I, the keyboard shortcuts you can get in Gmail as well.[00:54:33] Like I used, I didn't co justify like paying 300 something for, slightly faster email. [00:54:37] Chad Stewart: I hear you. I dunno. I feel left off the loop cause I'm just mostly I don't know. I just, I don't know, like more recently I've been getting a ton of like work emails, cause like I get a lot of notifications from GitHub and like it was ridiculously [00:54:53] swyx: no don't get, yeah leave GitHub notifications outside email, just, leave it inside a GitHub and then, check it whenever you're doing code stuff, but otherwise don't, I think those GitHub was the first thing, one of the first notifications streams that turned off I'll say yeah, make extensive of filters.[00:55:08] Snippets are really useful. Like Bigham, like pre baked replies to everything. Instant shows can help a little bit. And that's when you BCC some, you take someone off to BCC and then you promote up the two list. All those things like having memorizing the keyboard shortcuts, like everyone's working on some version of that.[00:55:24] I think there's a, the, there's some former Gmail engineers who spun out and are making their own take on what a better Gmail could look like. I think it's called shortcut. I haven't tried, I haven't like I've, I haven't mentally on my list to try them. Yeah. I mean, like base is fine.[00:55:39] Just use filters wisely use snippets and I think you're use, use the key
This week on the podcast Bob is back after a 15 day trip! We go over our reviews of the SK hynix Platinum P41 Gen4 NVMe Solid State Drive and Lexar ARES RGB DDR4-4000 16GB Memory Kit. We also discuss AMD's new Noise Suppression Tech, AMD Ryzen 7000 CPUs, Intel Arc GPUs and much more!
On Windows Weekly, Paul Thurrott, Mary Jo Foley, and Leo Laporte talk about AMD's surprising success during Q2 despite other companies (including Intel) losing revenue. Full episode at twit.tv/ww788 Hosts: Leo Laporte, Paul Thurrott, and Mary Jo Foley You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/
On Windows Weekly, Paul Thurrott, Mary Jo Foley, and Leo Laporte talk about AMD's surprising success during Q2 despite other companies (including Intel) losing revenue. Full episode at twit.tv/ww788 Hosts: Leo Laporte, Paul Thurrott, and Mary Jo Foley You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/
On Windows Weekly, Paul Thurrott, Mary Jo Foley, and Leo Laporte talk about AMD's surprising success during Q2 despite other companies (including Intel) losing revenue. Full episode at twit.tv/ww788 Hosts: Leo Laporte, Paul Thurrott, and Mary Jo Foley You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/
Can one still pursue a technology career without having technical education? In this engaging Nomad Futurist podcast Allison Boen, President of Alcatex Data Center Services and a certified DCEP, shares her dynamic career journey from a girl with a business administration degree to one of the top 25 women in technology. Boen, the OG of Data Center, did not begin her career in the tech sector. Instead, she chose Business Administration as her major because everyone in the 1980s did. Boen started her career in mobility selling cell phones, which resulted in being the gateway to her exploring the technology market segment. "I loved technology, and I love talking to people. So I decided I couldn't be hiding in an office." In 1995 she and her husband, an electrical engineer, started Alcatex. Boen discusses the difficulties and challenges of an unfamiliar industry with seven children to feed. Nevertheless, she shares her pride in being one of the forebearers of Women in Tech. She emphasizes the importance of more women in tech and the need to change the educational system. "I always felt we were in this cool club." Boen started her pursuit of energy efficiency in data centers in 2016. She discusses the technical aspects of immersion cooling and how it has been overlooked for over a decade. In the podcast, Boen explains the need for energy-efficient solutions and the importance of Environmental, social, and governance (ESG) criteria and standards. Increased computing power and performance demands, combined with technological advancements such as artificial intelligence (AI), Internet of Things (IoT), and machine learning (ML), have resulted in rising temperatures within data center infrastructure and IT equipment. More compute means more power, more power means more heat, more heat needs more cooling, which consumes yet more power, and the cycle continues. Given the inefficiency of traditional cooling solutions — and the combination of sustainability-minded design goals, governmental regulation, rising power costs, and the technological demands to cool cutting-edge CPUs and GPUs — the need for more efficient and less power-hungry cooling systems is clear. Boen discussed her recent experiences with immersion cooling usage in Blockchain. "We go back to our education and realize… there are certain things you learn, but real-world learning… happens in the real world." Boen encourages young people to get out of their comfort zone and explore the technology infrastructure in their youth, as it will significantly impact their future. She describes how, in the past, people predicted that the internet would be a fad, but it is now one of the world's fastest-growing industries. "Don't be afraid to learn something new. Don't be intimidated to learn.… I set my mind to learn, and I… did it." Allison Boen, President of Alcatex Data Center Services, has worked in the Data Center Design and Construction space for 27 years. As a certified DCEP, she has had the unique opportunity to watch the industry evolve into where we are today and see a vision of the 4th Industrial Revolution. Data Center Infrastructures have evolved over the years, with larger Data Centers, more power, and more data generated, but little emphasis on Energy Efficiency and Sustainability. We must do better, and Allison's vision as an Ambassadress and Evangelist of Immersion Cooling is that these days will be remembered as a watershed moment propelling us into a Greener, More Sustainable Data Center Infrastructure that uses less energy, less water, and less space.
Jim and Allan's thoughts on GitHub Copilot, why you can't take the bar exam on modern Intel hardware, and database VM snapshot consistency. Plugs Contributing to Open Source: Beyond Software Development Support us on patreon News/discussion GitHub Copilot Linux Downtime – Episode 51 Why can't Intel's 12th-gen CPUs pass the bar exam? Blame […]