Podcasts about google apps

Xiaomis HyperOS ohne Google Dienste? Laut Gerüchten arbeitet Xiaomi daran, sich von Google loszulösen. Sie agieren dabei wohl auch nicht allein und bekommen Unterstützer aus dem Heimatmarkt. Was erstmal sehr schockiert, könnte Realität werden, wenn auch viel dagegen spricht.HyperOS 3 ohne Google-Apps? Nicht nur Xiaomi bereitet sich auf Embargo vor ► https://www.china-gadgets.de/hyperos-3-ohne-google-apps-nicht-nur-xiaomi-bereitet-sich-auf-embargo-vor/Google is working on a big UI overhaul for Android: Here's an early look ► https://www.androidauthority.com/android-new-design-changes-leak-3549582/Leak: How and why Google made Material 3 Expressive ► https://9to5google.com/2025/05/05/material-3-expressive-leak/Google is finally building its own DeX: First look at Android's Desktop Mode ► https://www.androidauthority.com/android-desktop-mode-leak-3550321/2H25-2H27 New iPhone Model Launch Predictions; Budget Models in 1H, Premium Models in 2H as Emerging Norm ► https://mingchikuo.craft.me/9br1TonGnVzDPPApple iPhone 17 Air soll winzigen Akku durch neue Schutzhülle kompensieren ► https://www.notebookcheck.com/Apple-iPhone-17-Air-soll-winzigen-Akku-durch-neue-Schutzhuelle-kompensieren.1009943.0.htmlFoldable iPhone Said to Have Two Key Advantages ► https://www.macrumors.com/2025/05/05/foldable-iphone-two-key-advantages/realme 10000mAh concept phone ► https://x.com/realmeglobal/status/1919633226194419854realme 10000mAh concept phone Bild mit Batterie ► https://x.com/That_Kartikey/status/1919664533154509148Motorola Moto G56 5G leakt mit interessanter Updatepolitik ► https://x.com/evleaks/status/1919399217031762112Sony Xperia 1 VII runs Geekbench, confirming its chipset, RAM amount, and Android version ► https://www.gsmarena.com/sony_xperia_1_vii_runs_geekbench_confirming_its_chipset_ram_amount_and_android_version-news-67615.phpReport: Samsung will be making some Snapdragon 8 Elite 2nd gen chips on a 2nm node ► https://www.gsmarena.com/report_samsung_will_be_making_some_snapdragon_8_elite_2nd_gen_chips_on_a_2nm_node-news-67593.phpXiaomi Pad 7 Ultra is coming soon

001: Google App 加新功能「Simplify」幫你睇得明啲002: Samsung 推出 Tap to Transfer 功能，連 iPhone 用戶都收到錢003: Patreon 美國版 App 更新，繞過 Apple 30% 抽水004: Hugging Face 推 Open Computer Agent：免費但慢005: iOS 18.5 令 iPhone 13 都用到 T-Mobile Starlink 衛星服務006: Sony Xperia 1 VII 5 月 13 發布，繼續影相為主打007: Samsung One UI 8 升級 Now Bar，加通話顯示功能008: Nvidia 同 MediaTek 合作推 ARM AI 筆電晶片，或壓低價錢009: 日本 au Starlink Direct 擴展至非 au 客戶，6 月前登記有半年免費

Fresh data protection concerns have been raised by a Trinity College Dublin study about storage of cookies, identifiers, and other data on Android phones by Google Play Services, the Google Play store and other pre-installed Google apps. A recent measurement study by Prof. Doug Leith, Professor of Computer Systems in Trinity's School of Computer Science and Statistics, shows that advertising and tracking cookies and other device and user identifiers are sent by Google servers and stored on a handset, even when no Google apps have ever been opened by the user. Professor Doug Leith said: "We all know that our consent is needed before a website stores advertising and tracking cookies when we visit it. The same EU "cookie law", the e-Privacy Directive, also applies to apps running on mobile phones. Cookies stored by apps have received far less attention than web cookies, partly because they are harder to detect, and a closer look at them is long overdue." "Google Play Services and the Google Play store are pre-installed on almost every Android phone. This study shows that they silently store advertising and other tracking cookies and data on people's phones. No consent for this is sought by Google, and there is no way to block these cookies. " "This study is a wake-up call to the Irish Data Protection Commissioner to enforce EU data protection rules and start properly protecting Irish and EU users of Android phones." The main findings of the study are as follows: 1) Advertising analytics cookies, links to track clicks/views of adverts, and device identifiers associated with advertising are downloaded and stored on the handset. 2) Tracking cookies are downloaded and stored by the Google Play store app and then transmitted to Google servers alongside analytics data reporting user interactions with the Play store app (searches, page views etc). 3) The Google Android ID is sent by Google servers and stored to the handset by Google Play Services. Previous studies have shown this identifier is sent in many transmissions made by Google Play Services and the Google Play store to Google servers. It acts as a persistent device and user identifier, which can only be changed by factory resetting the phone. 4) Analytics cookies used for A/B testing of changes to Google apps are downloaded and stored on the handset by Google Play Services and then transmitted alongside app telemetry data to Google servers. 5) Multiple other cookies and identifiers which can act to uniquely identify the handset and/or user are also downloaded and stored on the handset.

Microsoft claims a major breakthrough in quantum computing, Amazon is shutting down its Android app store, and Google is removing Gemini from the standard Google App in iOS. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. If youContinue reading "Microsoft Claims A Major Breakthrough In Quantum Computing – DTH"

On the podcast, I talk with Ashley about what makes Google App campaigns a powerful growth tool, proven optimization strategies, and how lower CPMs aren't always the win they seem to be.Top Takeaways:

ANGELA'S TOP STORIES: Fred Hutch ends DEI/ New bill could prevent abuse in youth sports. / Decrease in King County shootings. // Trump's tactic of overwhelming citizens with barrage of executive orders. // WE NEED TO TALK. . . TikTok returns to Apple and Google App stores. 

Heard about America's new Solitaire? It's the number 1 game being played right now. Valerie Greenberg tells Mark about the prizes for you just download the App from the Google App store and play Solitaire Grand Harvest teaming up with Snoopy ...who? get the info now.....

Heard about America's new Solitaire? It's the number 1 game being played right now. Valerie Greenberg tells Mark about the prizes for you just download the App from the Google App store and play Solitaire Grand Harvest teaming up with Snoopy ...who? get the info now.....

Say thanks and learn more about our podcast sponsor Omnisend. I'm sure we're all glad that year of WordPress is behind us.WordCamp US 2024 marked the start of a transformative era for the culture of WordPressers—a situation that thrust the community and the greater ecosystem into a tailspin with widespread uncertainty and instability across various sectors.As of this writing, we're still unsure how the lawsuit between Matt Mullenweg/Automattic vs WP Engine will fully play out. While we witness the dust settle and find our new normal, here are the ways I think WordPress will change over the year 2025.1. Automattic continues to rip off the band-aidI think we can all agree that since the inception of Gutenberg, there hasn't been a major “Wow!” moment for WordPress.Usability has improved, and some cool concepts have shipped, but nothing showstopping has graced our wp-admin dashboards. It's a two-sided coin, really:A stable tool for publishing? Yep.Buzzworthy or exciting for the outside world—including our closed-source competitors? Nope.Automattic needs to stay relevant, charm investors, and keep building cool stuff.That's hard enough for any product company—let alone an open-source product company. It boils down to marketing and awareness, which WordPress has always struggled with.Even if Gutenberg was welcomed with open arms, excitement for building with blocks and using WordPress for your next website project was still necessary.I believe that for Matt/Automattic to steer the ship back to relevancy, he needed to pull this entire operation back under full control. Lines needed to be drawn—and they certainly were in 2024.I noticed a “different” tone when Mullenweg appeared on WP Product Talk earlier in 2024. The change was coming back then. Did I think it would be the ‘scorched Earth nuclear‘ approach we witnessed? No.You wouldn't be wrong if you argued that Mullenweg has been trending in this direction for years, but it seemed like 2024 was filled with far too many distractions: a flailing Tumblr acquisition or spending tens of millions on messenger apps.What about focusing on WordPress?I've predicted that, in the future, we'll visit WordPress.org and find: “The best way to experience WordPress is at WordPress.com or by hosting WordPress powered by Jetpack.” And then somewhere far below that H1, you'll find in small text: “Click here to download WordPress for free.”In the short term, ripping off the band-aid to let the world know Matt's in charge is one step closer to that reality. One step closer and fewer distractions for Mullenweg—perhaps less community involvement, and much more of the mothership in control in 2025.2. Community -> CommunitiesThe WordPress community as we knew it is not coming back.You're either for or against Automattic, using the project or spinning up your own fork, meme'ing us on X, or you've already quit the whole thing and are riding off into the sunset on a new CMS.I'm still left wondering: What Would Josepha Do?There have been two public opportunities for Mary Hubbard, the new Executive Director of WordPress, to share her plans for the community. Both appearances that left me with more questions than answers.On a live stream with Mullenweg, Hubbard mentioned not wanting to be a “Josepha 2.0.” Totally understandable! No one wants to be a 2.0 of their predecessor. However, the North Star held by the previous ED was shining bright with the desire to help WordPress thrive.“Help WordPress thrive.” A call to action we could all rally around.In the State of the Word 2024, Hubbard opened with: “I am deeply passionate about defending and celebrating WordPress.” And this is where—I believe—the community begins to fracture.Is WordPress truly under attack from external forces (specifically private equity), or is it just suffocating from within?On paper, PE consuming more of WordPress isn't a good thing. From what I've witnessed in the traditional tech space, they don't care much for community investment either. The playbook is to grow the asset, sell the asset, and keep the revolving door of the portfolio moving.However, I don't agree with Matt/Automattic turning the community into cannon fodder—something that has done more damage in a fiscal quarter than if Silver Lake sold WP Engine to Wix.We, the community, could have been the biggest advocates for Mullenweg's change, but instead, we were tossed aside (and continued to be badgered) regardless of tenure or contribution.This is why we'll see more micro-communities pop up around WordPress through 2025. People fall out of love with WordPress as a “place to be,” and WordPress just gets tossed into the toolbox alongside Mailchimp and Google Apps.Transforming the experience from an open-source project backed by a global community into a free website builder by Automattic.Over 2025, WordPress will go from one big community to a decentralized collection of users who care less about the mission of open source and more about building their websites.3. Playground is the future for WordPressAs sure as the iPhone gets 10% better year after year, so does the software of WordPress.So yes, that's part of this prediction: WordPress, the software, does get better—but probably not by all that much.Playground will start to set an important stage for WordPress—one that I think is needed for the long-term survivability (and interest) of the project. To stay competitive, relevant, and easily accessible, the Playground will take center stage. Here's why:As I explored other software in 2024, specifically other CMS apps, no other website allowed me to try their software hands-on in the browser without installing or registering, like WordPress can.Even if you argue that WordPress is monolithic, uses old technologies, and generally can't get out of its own way, I don't see any other tech stack solving the complete stack like WordPress does—website builder, theme layer, drag-and-drop design, publishing, plugins, an ecosystem, etc.It's a real lightbulb moment when you put that power instantly into the hands of someone looking to learn, build, or publish online without friction.Playground allows you to build out a custom WordPress instance, save the blueprint...

Sat, 21 Dec 2024 06:27:42 +0000 https://podcast552923.podigee.io/338-new-episode 113013e968fa1e8321008fc2a74698ca Nach dem Google Core Update rollt Google jetzt tatsächlich noch das Dezember 2024 Spam Update aus. War das Google Core Update vom Dezember, das inzwischen abgeschlossen ist, bereits eine Überraschung, so gilt das für das Dezember 2024 Spam Update umso mehr. Dieses Update wird wohl bis nach den Weihnachtstagen andauern. Mit "What People are saying" gibt es ein neues Feature in der Google Suche. In diesem Karussell werden Inhalte aus Social Media und aus anderen Quellen angezeigt. Google plant einen "AI Mode" für die Suche, mit der Google Gemini in die Suche integriert wird. Erste Sichtungen in der aktuellen Google App gibt es bereits. Viele KI-Crawler können mit JavaScript nichts anfangen - so führen zum Beispiel ChatGPT und Perplexity JavaScript nicht aus. Website-Betreiber sollten deshalb darauf achten, dass die wichtigsten Seiteninhalte auch ohne JavaScript verfügbar sind. Google gibt neue Tipps zur facettierten Navigation auf Websites - besonders wichtig für viele Onlineshops. full Nach dem Google Core Update rollt Google jetzt tatsächlich noch das Dezember 2024 Spam Update aus. no

Fri, 29 Nov 2024 18:15:16 +0000 https://podcast552923.podigee.io/335-new-episode 739426700d289623e4cb1c48e5989373 Das laufende Google Core Update vom November bringt möglicherweise eine stärkere Personalisierung der Suchergebnisse mit sich. Noch läuft das Google Core Update vom November (Stand 29.11. 19.02 Uhr). Was einigen dabei aufgefallen ist: Google scheint die Suchergebnisse jetzt deutlich stärker zu personalisieren als zuvor. Rollt Google also ein "Personal Update" aus? Google fügt ungefragt Links auf eigene Seiten in Webseiten ein - und zwar dann, wenn Webseiten mit der Google App unter iOS geöffnet werden. Wer das nicht möchte, muss über ein Formular widersprechen. Google hat das Ausspielen von Sitelinks-Sucheboxen eingestellt. Eigentlich hätte dies schon zum 21. November erfolgen sollen. Droht in Europa ein Rückfall auf Suchergebnisseiten, auf denen es nur zehn Blue Links und sonst keine Suche-Features gibt? Google testet derzeit eine solche Variante für bestimmte Suchanfragen, und zwar in drei Ländern. Deutschland gehört auch dazu. Die neuen Recommedations in der Google Search Console sind jetzt laut Google für alle Nutzerinnen und Nutzer verfügbar. full Das laufende Google Core Update vom November bringt möglicherweise eine stärkere Personalisierung der Suchergebnisse mit sich. no

Join Dr. Jennifer Reid as she interviews Anna Hall, CEO of Embody, the first women-designed menstrual wellness app designed with privacy as its number one priority.Although over 100 million women use a period tracker, safeguards to protect our privacy, needed now more than ever, are significantly lacking. As reproductive rights face increasing scrutiny, Anna Hall explains how Embody's innovative privacy-first approach keeps sensitive cycle and symptom data truly secure. From tracking menstrual patterns to documenting PMDD symptoms, learn how this revolutionary app empowers users to maintain control over their intimate health information while still receiving the support they need. Anna and her team created Embody to provide women with a safe, secure location to track their menstrual symptoms, without the looming threat of surveillance or our most intimate information being sold to the highest bidder. Don't miss this vital conversation about the intersection of digital privacy, reproductive freedom, and the future of menstrual health technology. Dr. Reid on Instagram: @jenreidmd and LinkedInPMDD Expert, Dr. Liisa Hantsoo, on the podcast Download Embody on Google Apps and AppleAlso check out Dr. Reid's regular contributions to Psychology Today: Think Like a Shrink, including several articles on PMDDAnna Hall is the CEO and founder of Embody, a private menstrual wellness app, and co-owner of Thesis, a crypto venture studio. Anna draws from her diverse experiences in education, startups, and advocacy, spanning the Atlanta and San Francisco metro areas. Inspired by her personal journey with Premenstrual Dysphoric Disorder and the changing legal landscape, such as the overturning of Roe v Wade, Anna founded Embody. She believes deeply in the inherent worth of the individual and the power of collective action. Outside of work, Anna enjoys playing music, goofing off with her kids, and snuggling with her dog, Lola.Thanks for checking out The Reflective Mind Podcast! This post is public so feel free to share it. And don't forget to subscribe!Seeking a mental health provider? Try Psychology TodayNational Suicide Prevention Lifeline: 1-800-273-8255Dial 988 for mental health crisis supportSAMHSA's National Helpline - 1-800-662-HELP (4357)-a free, confidential, 24/7, 365-day-a-year treatment referral and information service (in English and Spanish) for individuals and families facing mental and/or substance use disorders.Disclaimer:The views expressed on this podcast reflect those of the host and guests, and are not associated with any organization or academic site. The information and other content provided on this podcast or in any linked materials, are not intended and should not be construed as medical advice, nor is the information a substitute for professional medical expertise or treatment. All content, including text, graphics, images and information, contained on or available through this website is for general information purposes only.If you or any other person has a medical concern, you should consult with your health care provider or seek other professional medical treatment. Never disregard professional medical advice or delay in seeking it because of something that have read on this website, blog or in any linked materials. If you think you may have a medical emergency, call your doctor or emergency services (911) immediately. You can also access the National Suicide Help Line at 1-800-273-8255 or call 988 for mental health emergencies. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit amindofherown.substack.com

Michael Margolis, UX Research Partner at Google Ventures, breaks down the Bullseye Customer Sprint methodology and how it helps startups quickly identify what to build and who to target. Learn how to use the “5 and 3 in 1 formula”—five bullseye customers, three prototypes, in one day—to accelerate learning and de-risk product decision-making.Gain practical strategies for streamlining customer discovery so you can build the right products, faster. Michael shares how to define your bullseye customers, prioritize the key questions to focus on, and avoid common pitfalls in early product development.About Michael: Michael Margolis joined Google Ventures in 2010 as the venture industry's first UX research partner. With over 30 years of experience, he's conducted 300 research sprints with GV portfolio companies across diverse sectors. His work has helped hundreds of companies boost conversions, test new concepts, streamline workflows, and define bullseye customers. Michael joined Google as a staff user experience researcher, where he conducted research for Gmail, led the UX research team for Google Apps, and managed Google's UX team in Seattle. Before Google, he spearheaded user research at Walmart.com and produced educational software at Electronic Arts. Michael earned his bachelor's and master's degrees in anthropology from Stanford University and is the author of Learn More Faster.Connect with Michael:You can follow Michael on LinkedIn or check out his articles on Medium.Resources: Learn More Faster by Michael MargolisConduct stellar user research even faster by Michael MargolisResearch Practice by Gregg BernsteinDisco Conf 2024, the global research and discovery conference by MazeUnpacking User Interviews: Turning Conversations into Insight by Maze Follow Maze on Social Media:X: @mazedesignHQInstagram: @mazedesignHQLinkedIn: https://www.linkedin.com/company/mazedesignTo get notified when new episodes air, subscribe at maze.co/podcast.See you next time!

Get my New Album “Universal Basic Awesome” with unreleased track and MERCH at https://RebunkedRecords.com ALL THE MUSIC VIDEOS: https://youtube.com/@RebunkedRecords Tip Jar: https://GiveSendGo.com/Rebunked Rebunked on Substack: https://Rebunked.substack.com All of my projects: https://LibertyLinks.io/Rebunked Anti-Vaccination League and Merch: https://AntiVaxLeague.com Very excited to chat with Flat Earth Dave tonight! I really want to explore the notion of why certain topics are impossible for people to open their minds to and the mental block that topics like Flat Earth create. I want to know whats going on with Antarctica. I want to figure out how to start a fund to create our own space program. We need answers!!! What is up with these Billionaire Space Walks? Are they as fake and gay as I think they are? Come explore these topics with us and so much more! See you tonight. Follow and support Dave here: https://www.theflatearthpodcast.com/ Make sure you Download the "Flat Earth Sun & Moon Clock" on the Apple or Google App stores! Rebunked News is happy to shout out: The Wellness Company, get a doctor for $10/month. Use Coupon Code REBUNKEDNEWS for 5% off purchase: https://bit.ly/twcrebunked Autonomy: Gain the high-value skills in just 12 weeks. Learn more: https://bit.ly/AutonomyRebunked Start your Heavy Metal Detox: https://TruthTRS.com Supercharge your health with the amazing supplements at Chemical Free Body! https://chemicalfreebody.com/?rfsn=7505813.fa2d09 VALUE-FOR-VALUE DONATION: https://Rebunked.news VENMO: https://account.venmo.com/u/rebunked CASHAPP: https://cash.app/$rebunked PAYPAL: https://Paypal.me/Rebunked T-SHIRTS: https://Rebunked.news/Shirts TELEGRAM: https://t.me/Rebunkednews INSTAGRAM: https://www.instagram.com/rebunkednew TWITTER: https://twitter.com/rebunkednews Theme Song: Now Arise by Rhymewave: https://linktr.ee/rhymewave

“We are a service company first and foremost, rather than IT. We just happen to do IT,” Charles IT director of finance and operations Sal Marino tells the CBIA BizCast. The Middletown-based outsourced managed service provider has seen about 30% growth year over year since 2012. But the company has much smaller beginnings. Foster Charles started the company in 2006, when he was still in high school helping small companies with things like web development or sales systems support. In 2012, he helped a large hospital become the first hospital to migrate to Google Apps. “They basically offered him to come on and be their CIO. And he said, ‘no,'” said Marino. “And when he turned all those things down, that's when he was like, ‘We gotta get serious.” When Marino joined Charles IT in 2017, he was employee number 17. At the time, the company was generating about $4 million in revenue. “My job was to come on and take the hats off of Foster, who was trying to run all of those as well as manage the front end of the business,” he said. “Fast forwarding to today, we're about 150 people and closing in on 30 million in revenue.” Marino said one of the things that helped their growth is their expertise helping small to midsize companies navigate things like cybersecurity and compliance. “We have all the tools and tons of great tech, but we really focus on making sure that the policies are in place, that they're doing the right things,” he said. One of the challenges that comes with growing as quickly as Charles IT has, is finding the right people. “The hard part is making sure that you're finding the people that align to your business, the values, and the things that you're looking for,” Marino said. He added that during COVID, that became an even bigger challenge. “Because of our culture and our requirement of being 100% in office, it made that immensely more difficult than it would be for everybody else,” he said. “Our culture is all about collaboration, having people there to be able to bounce things off of in constant rapid change and growth. “And it's really hard to accomplish that if you're not all together.” He said the company works hard to create an environment where people want to come into the office. That includes benefits like free dry cleaning, the ability to bring dogs into the office, or free drinks and snacks. “If you have to leave home, it has to at least be as good, if not better, than being at home,” Marino said. “And that's, that's really what we're trying to emulate in our office experience.” Charles IT has also started its own training program to recruit talent and grow its workforce. For the past three years, the company has put 12 people through a 90-day, paid IT training program each quarter. Participants in the program come from a variety of backgrounds, including high school and college graduates. “You can go out and get a really senior level individual, but they have all of their own bad habits and all these other things that you have to change and tweak, and allow them to learn your style,” Marino said. “So why not train somebody who knows the basics, and then teach them in your ways so you don't have to break bad habits.” As for the secret to Charles IT's growth and success, Marino said “the magic behind the curtain is that we're just what you see is what you get.” “It's showing that we really care about the employees. When it's not a facade, people come in, they see it, and they want to be a part of it,” he said. Related Links: Charles IT Website: https://www.charlesit.com/ LinkedIn: https://www.linkedin.com/company/charlesit/ Sal Marino on LinkedIn: https://www.linkedin.com/in/sal-marino-cfe-mba-44354a66/ CBIA Website: https://www.cbia.com/ LinkedIn: https://www.linkedin.com/company/cbia/

This Day in Legal History: “Starve or Sell”On August 15, 1876, the U.S. Congress passed a "starve or sell" bill, a genocidal piece of legislation aimed at coercing the Sioux Nation into surrendering their sacred Black Hills. The bill was passed just two months after the Battle of Little Bighorn, where Sioux and Cheyenne warriors achieved a significant victory against General George Custer's forces. The Black Hills had become a target for American expansion after Custer's 1874 expedition discovered gold there, sparking a rush of settlers. Rather than respecting existing treaties, which guaranteed the Black Hills to the Sioux, Congress chose to use starvation as a tool of negotiation. The bill stipulated that no further appropriations for the Sioux's subsistence would be made unless they relinquished the Black Hills, leaving the Sioux with little choice but to sign away their land. This event is a dark chapter in American history, reflecting the broader pattern of exploitation and broken promises that characterized the United States' treatment of Native American tribes. The "starve or sell" bill stands as a stark reminder of the lengths to which the government would go to seize indigenous lands.The FTC has issued its Final Rule on fake reviews, following a Notice of Proposed Rulemaking in July 2023. The Rule targets unfair or deceptive practices in consumer reviews, such as fake reviews, undisclosed company insiders writing reviews, and the sale of fake social media influence. Key provisions include prohibiting businesses from buying reviews that express a particular sentiment and requiring clear and conspicuous disclosures in reviews. The Rule also addresses review suppression, ensuring that businesses cannot hide negative reviews through intimidation or selective publication. Notably, the Final Rule excludes a proposed prohibition on "review hijacking," where existing reviews are repurposed for different products. Violations of the Rule could result in significant civil penalties, underscoring the importance of compliance for businesses that rely on customer reviews. The Rule will go into effect 60 days after its publication in the Federal Register. The complex and fact-specific nature of the Rule means businesses must carefully assess their practices to avoid potential penalties.End of “Fake Reviews”? — FTC Issues the Final RuleThe Biden administration announced that the U.S. government's first drug price negotiations under the Inflation Reduction Act will save Americans $7.5 billion in 2026. These savings will benefit senior citizens, who will see $1.5 billion less in out-of-pocket costs for ten key medications, and the government, which will reduce its Medicare spending by $6 billion. The policy, long sought by Democrats, allows Medicare to use its purchasing power to negotiate lower drug prices, a move that could cut the federal deficit by $237 billion over a decade. The newly negotiated prices are expected to be made public by September 1, and the policy will initially affect ten drugs, including treatments for diabetes and heart conditions. While the pharmaceutical industry has opposed the policy, claiming it effectively lets the government set prices, the administration views it as a historic step toward lowering healthcare costs.US Drug Price Negotiations Cut Costs $7.5 Billion in First YearThe Delaware Supreme Court upheld a $267 million fee award for attorneys who secured a $1 billion settlement with Dell Technologies Inc., reinforcing Delaware's precedent of substantial payouts in high-risk corporate litigation. Chief Justice Collins J. Seitz Jr., writing for the court, affirmed that the Chancery Court acted within its discretion, emphasizing that the case was complex and contentious, involving nearly 100 defense lawyers. This decision, which aligns with Delaware's long-standing multi-factor approach to fee awards, rejects Pentwater Capital Management LP's challenge for a lower fee based on federal court standards. The ruling underscores Delaware's reluctance to adopt rigid rules for fee awards, maintaining the court's discretion to consider case-specific factors like complexity, attorney experience, and the risk of non-payment. The decision comes as Tesla faces similar large fee requests in ongoing litigation, raising concerns about public perception of such massive legal fees. The court acknowledged that while these fees are intended to motivate attorneys to take on challenging cases, there is a risk they could be seen as excessive.​​Big Lawyer Paydays in Risky Cases Affirmed by Delaware Court (2)A U.S. judge signaled plans to issue an order requiring Google to give Android users more options for downloading apps, following a jury's finding that Google monopolized app distribution on its platform. Judge James Donato expressed frustration with Google's resistance to implementing reforms proposed by Epic Games, which sued Google for stifling competition. Donato indicated that his ruling will prioritize user and developer flexibility outside the Google Play store, aiming to open up the market after years of Google's dominance. He also mentioned setting up a compliance committee to oversee the changes. Despite Google's concerns about the impact on competition and security, Donato emphasized that Google must pay the price for its monopolistic behavior. This case adds to Google's legal challenges, as it also faces a separate government lawsuit over its search engine practices.US judge says 'monopolist' Google can't avoid app store reforms | ReutersChevron Corp has agreed to pay $550 million to the city of Richmond, California, over a decade as part of a settlement that led the city to drop a proposed tax on Chevron's local refinery. The settlement, approved by the Richmond City Council, will be paid in annual installments from July 2025 to June 2035. Richmond had planned to seek voter approval for a tax on the refinery, arguing that Chevron should contribute more to the community where it has operated for over a century. The settlement avoids the need for a ballot measure and resolves the dispute.Chevron to pay $550 million settlement to Richmond, California | ReutersCipher ChallengeIn the world of finance and taxation, certain phrases hold the key to understanding foundational concepts that impact us all. The following encoded message is one such phrase, essential to grasping the full scope of what individuals and entities must consider when assessing their financial obligations. Decipher this phrase, and you'll uncover a principle that is central to determining what falls within the broad spectrum of economic gain. The answer lies at the heart of how we define the starting point for many financial calculations. Can you crack the code? Send me a message with your best guess. doo lqfrph iurp zkdwhyhu vrxufh ghulyhg This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

Google wird am 13. August 2024 seine neue Pixel-9-Smartphones vorstellen und damit auch mindestens eine komplett neue App einführen. Wenn ihr wollt, könnt ihr die App jetzt schon ausprobieren, denn die APK wurde geleakt. Ich habe sie auf meinem Pixel 8 Pro ausprobiert und bin sehr angetan.

Apple hat eine deutliche Warnung an seine Nutzer herausgegeben: Der Konzern rät von der Nutzung des Google-Browsers Chrome auf iPhones ab. Apples Safari-Browser würde einen wichtigen Vorteil bieten.

Alphabet breidt de beschikbaarheid van hun AI-bot uit. Die is nu ook beschikbaar in veel Europese landen, waaronder ook Nederland. En Gemini praat ook al die talen. Op Android krijgt Gemini een aparte app, op iPhone wordt het zelfs geïntegreerd met de Google App. En het is de bedoeling dat het de Google Assistent helemaal gaat vervangen. Alphabet staat nog meer in de spotlight: want in Londen heeft de Competition Appeal Tribunal besloten dat een miljardenzaak tegen het bedrijf mag doorgaan. Ad Tech Collective Action klaagde Alphabet aan omdat ze misbruik zouden hebben gemaakt van hun macht op de advertentiemarkt. Er lopen al meerdere zaken rondom die machtspositie van Alphabet, maar deze kan ze ook nog eens 17 miljard dollar gaan kosten. En Alphabet heeft ook nog eens een nieuwe CFO gevonden. Eentje waar beleggers blij mee zullen zijn. Anat Ashkenazi gaat Ruth Porat opvolgen. Ashkenazi was de afgelopen jaren CFO bij Eli Lilly, de farmaceut die monsterwinsten maakt omdat hun diabetesmedicijn populair is bij mensen die willen afvallen. In haar 3 jaar werd het aandeel 4 keer meer waard. Verder in deze Tech Update: - IKEA gaat een virtuele winkel openen in Roblox, en het zoekt daar nog 10 werknemers voor om de zaak netjes te houden. Die krijgen ook echt betaald, een dikke 15 euro per uur. De sollicitaties worden de komende weken (digitaal) gevoerd.See omnystudio.com/listener for privacy information.

Tomer Pascal is the CEO and co-founder of OwnPlay, a web3 mobile gaming ecosystem that has developed CityVerse Tycoon, a PWA game allowing players to trade, buy, and sell tokenized replicas of real buildings in New York City. Tomer has extensive multi-disciplinary experience in delivering products to their appropriate markets, working with early-stage companies, businesses with new products, and well-established organizations. He combines his tech mindset, ability to create effective marketing technology platforms, and business capabilities to help companies monetize their products and achieve growth.Before founding OwnPlay, Tomer held several positions, including Chief Revenue Officer at Mohawk Group, Inc., where he focused on driving revenue and holistic growth; Chief Executive Officer at OMG Studios, where he served as a corporate strategist and worked on digital media and customer engagement; and General Manager of the Perion Lightspeed Division at Perion, overseeing the GrowMobile mobile advertising platform. With his diverse skill set and experience, Tomer leads OwnPlay in its mission to innovate in the mobile gaming industry using web3 technology.In this conversation, we discuss:- What is a PWA game?- CityVerse Tycoon = Monopoly GO + Zillow- Trade, buy, and sell tokenized replicas of real buildings- The opportunity that mobile offers for web3 gaming- Challenges of creating and operating a mobile web3 game- Mobile offering unparalleled accessibility- The "David and Goliath" struggle between crypto apps and centralized app stores- Apple and Google's Appstore Duopoly- Building the game as a PWA rather than a traditional mobile app- PWA's influence on distribution and monetization for mobile gamingCityVerse TycoonWebsite: cityversetycoon.comX: @CityVerseTycoonDiscord: discord.gg/cityversetycoonTomer PascalX: @TomerPascalLinkedIn: Tomer Pascal ---------------------------------------------------------------------------------  This episode is brought to you by PrimeXBT.  PrimeXBT offers a robust trading system for both beginners and professional traders that demand highly reliable market data and performance. Traders of all experience levels can easily design and customize layouts and widgets to best fit their trading style. PrimeXBT is always offering innovative products and professional trading conditions to all customers.   PrimeXBT is running an exclusive promotion for listeners of the podcast. After making your first deposit, 50% of that first deposit will be credited to your account as a bonus that can be used as additional collateral to open positions.  Code: CRYPTONEWS50  This promotion is available for a month after activation. Click the link below:  PrimeXBT x CRYPTONEWS50

I don't know about you, but this is the time of year when I feel overwhelmed with digital clutter and need to do some serious spring cleaning! Enter Theresa Hoover. Last summer, Theresa delivered an incredible workshop at our annual symposium. She provided ideas for using Google Apps to enhance and streamline teaching. All of us were furiously taking notes and asking for more! In this episode, I sit down with Theresa to discuss her history with tech, how she became part of #teamgoogle, and learn more about her workshop series, which debuts on April 26th. You can learn more about Theresa's work here: https://offthebeatenpathinmusic.com/ https://passthebatonbook.com/ Grab her book here: https://fflat-books.com/product/empowering-ensembles-with-technology/ And, learn more about her PD sessions on our Learn Site: https://learn.fflat-books.com/ --- Support this podcast: https://podcasters.spotify.com/pod/show/musicast-podcast/support

Heather Lyon, the author of, "Engagement is Not a Unicorn, It's a Narwahl" and "The Big Book of Engagement Strategies," shares her insights on student engagement and teacher strategies from her new book, "50 Ways to Engage Students with Google Apps." Teachers' knowledge and understanding of pedagogical choices is key to tech tools tapping student engagement. Find Heather's many resources here. Subscribe to the Steve Barkley Ponders Out Loud podcast on iTunes or visit BarkleyPD.com to find new episodes!

In episode 176, I review the books, 50 Ways to Engage Student by Alice Keeler and Heather Lyon and Amplifying our Practice: Teachers talking Teaching by Pawan Wander and Chey Cheney. These books are great about teacher practices, engaging students from all grade levels up to college and more. I give these both 5 stars and I hope you check out the books for your reading. --- Send in a voice message: https://podcasters.spotify.com/pod/show/pixelclassroom/message Support this podcast: https://podcasters.spotify.com/pod/show/pixelclassroom/support

Long tail searcher behaviors: 10% of Discovery searches involve a brand search on Google:  In our most recent multi-location consumer Google search behavior research analyzing restaurant searches we saw roughly 10% of all searchers use the scrolling map for location precision and we saw an equal number of searchers do a local brand search as part of their discovery process. These brand searches seem to be either to better understand a location or to confirm their choice. Oftentimes it was a shorthand way for searchers to increase their confidence in the overall rating of a location without having to read the reviews. Gemini search now a front and center toggle in the Google App:  The mobile Google App is now offering a toggle switch that allows users to easily compare traditional results with Gemini results. While search is the default, Gemini is readily available as an alternative choice. Gemini is more like the 10-blue links Google. The UI is cleaner and there's less "information clutter." It's not clear, however, that you can entirely trust Gemini. While interesting, it still seems to be more of a positioning ploy vis a vis ChatGPT and their recently announced search engine than a real alternative to search. Content publishing being upended by search - Can it change?Recent tales of Reddit content outraninking original content seems to belie Google's stated intent of the Helpful Content Update showing smaller sites that demonstrate EEAT with real world experience and a singular point of view. While some are optimistic that new developments in Google AI will fix the results, the way that the algo works might doom it to a loop of brand mediocrity. The Near Memo is a weekly conversation about Search, Social, and Commerce: What happened, why it matters, and the implications for local businesses and national brands.near memo ep 147Subscribe to our 3x per week newsletter at https://www.nearmedia.co/subscribe/

 What Should Businesses Do About Google SGE?Google has not yet announced any concrete plans for the future of Search Generative Experience (SGE), and it is unclear how it will evolve in the coming years. SGE is still in its early, very crude stages and it is not yet known how it will impact search traffic. Many SEOS reacted with fear and loathing but in the end the impact of SGE may in fact be minimal. However, businesses can start to experiment with SGE by:Triggering SGE to appear by default.Optimizing the content on their websites to appear in SGE results.Monitoring the rankings of their websites in SGE results to see how they are affected.Businesses should be cautious about heavily investing in or relying on SGE until it's more developed. The uncertainty surrounding its development and Google's missed deadline indicates a need for businesses to stay informed and adaptable.Google Goes All in On Interstitials on the iPhone:  Google, has long penalized interstitials as bad for user experience particularly when used on the mobile web to get people to convert to an app. There is no little irony that Google has now started doing just that on the iPhone when a user has Google search set as the default - nagging the user to switch to the Google App or Chrome for the iPhone. The fact that Google has been reduced to doing what they have long criticized implies that they think they will lose the DOJ Default Search Engine case and are running scared about losing iPhone market share.Where is Bard Going?A Bard product manager asked Reddit users for feature suggestions for Bard, leading to numerous responses. Participants noted that some requested features, such as document upload and image generation, are already available in ChatGPT. They anticipate these features will be added to Bard in 2024.  The types of features requested by users—ranging from specific functionalities like coding assistance to more nuanced content moderation—sheds light on the diverse and evolving needs of users.The Near Memo is a weekly conversation about Search, Social, and Commerce: What happened, why it matters, and the implications for local businesses and national brands.near memo ep 140Subscribe to our 3x per week newsletter at https://www.nearmedia.co/subscribe/

0:00:00 – HKPUG 會訊 + Tech Talk 0:41:29 – 依輪乜事 1:00:14 – Main Topic 本集全長：1:48:24 Tag: GDG Cloud DevFest, 港鐵開始支援 Visa 付款, iOS 17.2, iOS …

I know it's hard to process the news cycles over the last few weeks. You're struggling to find your balance on this rollercoaster of emotion. Today's episode will help a LOT! Hope is on the way! Diane Canada is the founder of Lady Up America. She is a political TV Commentator, Podcaster, Author, and Speaker. Download the Lady Up America APP in your Apple or Google App store. Learn more at LadyUpAmerica.com --- Send in a voice message: https://podcasters.spotify.com/pod/show/ladyupamerica/message Support this podcast: https://podcasters.spotify.com/pod/show/ladyupamerica/support

We are back for the 7th year of potentially useful TCAPSLoop EdTech Podcasts. This week's episode set's up some of the topics we will likely be covering throughout the year as Danelle and I countdown our "Top 3 Topics in Education for 2023/24". The Rundown 00:59 - Moment of Zen  Maybe it's not about trying to fix something that's broken. Maybe it's about starting over and creating something better.” – Unknown   01:21 - State of the Pod Address   03:42 - The Top 3 Topics in Education   04:38 - Danelle's #3:  Accessibility - using research to ensure inclusion  TCEA Webinar last week captions accessible colors 10% of male population is color blind hyperlinks not saying “click here” Google Apps includes ALT text for images   07:35 - Larry's #3:  Microlearning -Microlearning is the delivery of learning content in a short, succinct way, typically 3-5 minutes. Condensing large quantities of information into bite-sized training drives better engagement and knowledge retention for learners, and saves valuable time and money for employers. Microlearning Strategies: https://www.edume.com/blog/what-is-microlearning  “Today's employees (students)  are overwhelmed, distracted and impatient”. - Josh Bersin  Modern Learner  Infographic The Forgetting Curve Research shows that microlearning improves focus and supports long-term knowledge retention by up to 80% Learners are 95% more likely to retain information presented in video format. 68.1% of all global website visits in 2020 came from mobile devices Show students how to curate their social platforms to maximize personal learning and growth. Prune the feed toward specific content areas. It will give you those small doses of microlearning around the subject matter of interest.   11:02 - Danelle's #2 - Digital Wellness - intersection of is widely known as digital citizenship with news literacy.  New report from Common Sense - Constant Companion: A Week in the Life of a Young Person's Smartphone Use | Common Sense MediaThis year, Common Sense has focused our research efforts on hearing directly from young people about both the role and the impact of media and technology in their lives. This report fills a gap in our understanding of how teens actually use their smartphones, combining data from kids' phones themselves with feedback from our Youth Advisory Council. And they told us that the draw of their smartphone is both complicated and powerful. Here's what else we learned from this report:Teens are fielding a barrage of notifications from the apps on their phones. On a typical day, participants received a median of 237 notifications. Of those, about a quarter arrived during the school day, and 5% at night.   School phone use is common, and policies are inconsistent. During school hours almost all of the participants used their phones at least once, for a median of 43 minutes. But they also reported that policies about phone use in schools vary—sometimes even from classroom to classroom—and aren't always enforced.   Smartphones both help and hurt sleep. Over half of participants used their phones on school nights, often to listen to music to wind down or get to sleep. But sometimes their days are so busy that they only get to relax with their phone at bedtime, and that pushes sleep later.  The good news is, many young people reported they have grown savvier about their phone's attempts to draw them in, and they're taking steps to protect their digital wellbeing, like setting time limits and prioritizing certain types of notifications. But the business model of these apps and devices hinges upon young people picking up their phones and engaging with them as much as possible, and it's clear that teens are struggling to set boundaries. Research like this helps shed light on what young people are really doing on their phones, and allows families, educators, and leaders to better understand where and when to provide support. But the industry can take steps to recognize that young people need to be able to use their phones for all of their important benefits but without the challenges that negative content, persuasive design, and aggressive business models pose to digital well-being. News Literacy in a time of AI - AI can be used to create videos, images, text that can easily fool you if you're not on top of it. The News Literacy Project - https://newslit.org/  - is doing amazing work in this space, and I'm excited to highlight their offerings for our listeners this year.    13:01 - Larry's # 2 - Academic Recovery/Accelerated Learning - Accelerated learning may sound like a method for speeding through lessons to cover everything students didn't learn in previous grades. It's not. Accelerated learning does not look back. It moves kids forward to tackle grade-level content, providing them with help when they need it. It's not “just-in-case” remediation. It's “just-in-time” scaffolding.   Techniques: https://www.hmhco.com/blog/accelerated-learning-techniques-for-the-classroom  High Impact Tutoring: https://annenberg.brown.edu/sites/default/files/EdResearch_for_Recovery_Design_Principles_1.pdf   15:25 - Consensus #1 - Artificial Intelligence - We've stepped on the gas instead of hitting the brakes. Stanford Graduate School of Education Dean Daniel Schwartz in his opening remarks. “I want to emphasize that a lot of AI is also going to automate really bad ways of teaching. So [we need to] think about it as a way of creating new types of teaching.” Eduaide Khanmigo https://www.unite.ai/10-best-ai-tools-for-education/   20:23 - Tech Tool of the Week: FigJam - jamboard sunsetting in 2024   Thanks again for listening and inspiring!   Hosts: Danelle Brostrom, Larry Burden Um and Ramble Editing: Larry Burden

Bard Now Works With Google Apps And Services, Elon Musk aims to make everyone pay for X, and details for a next-generation Xbox Series X have been leaked… MP3 Please SUBSCRIBE HERE. You can get an ad-free feed of Daily Tech Headlines for $3 a month here. A special thanks to all our supporters–without you,Continue reading "Bard Now Works With Google Apps And Services – DTH"

In this episode, Seth, Allyson, and Tami welcome Paul Hieronymus, chairman of the Ohio Distance Learning Association (OhioDLA). We discuss golden moments, the current state of distance learning in Ohio, and persistent challenges in distance learning that may account for why the medium is not more popular than it is. We explore strategies for engaging non-tech-savvy learners and share insights on converting more individuals to this educational approach, emphasizing the pivotal role of Ohio DLA. The conversation touches on ongoing issues in distance learning, post-pandemic enrollment trends, and the virtual vs. in-person schooling debate. Throughout, Paul masterfully underscores the enduring relevance and importance of distance learning in today's educational landscape.Paul Hieronymus is in his third year of being the chairman of the Ohio Distance Learning Association (OhioDLA). He is one of the founding members of the organization, serving on their board when they formalized as a state chapter of USDLA. Paul is the Director of Information,Technology & Integration for the North Ridgeville City Schools. Prior to OhioDLA and North Ridgeville, Paul has served as president of ISTE's Special Interest Group for Interactive Video Distance Learning and has served as a core volunteer for ISTE's National Conference, running video operations from 2008 - 2013. He has been very active with Google Apps for Education and is one of Ohio's first Google Certified Educators. Since 2004, he has worked with teachers from the US, Canada, the United Kingdom and Australia to establish classroom to classroom collaborations.Relevant links:1. Laura Tarshis's I Survived Series2. John Chen's Engaging Virtual MeetingsGet to know more about Ohio DLA here: https://ohiodla.org/Browse amazing virtual learning opportunities at CILC.orgSeth's Banyan Global Learning provides live virtual learning series in Character Education

As a teacher, who wouldn't want to save time? So that's why I invited Lauren Ellis on to the show to share a few tips on how we can easily systematize things in our classroom to allow us to work more efficiently. Let's get started.Mentioned in this episode:⭐ The Ultimate Math Bundle ⭐We're talking…

FULL SHOW NOTES https://podcast.nz365guy.com/463 Lindsay Shelton talks about her love for taking care of her cat and how she spends her time with family and friends. Transitioning from Teaching to Tech - Lindsay shares her journey from being a middle school English teacher to transitioning into the tech industry. Being Open to Opportunity – Lindsay emphasizes the importance of being open to opportunities, even if they are unexpected or not necessarily in your field. Learning from Experience – Lindsay shares how teaching and using Google Apps for Education led to her interest in technology and eventually pursuing a career in the industry. Non-traditional Backgrounds – Lindsay's story highlights how having a non-traditional background can be an asset in the tech industry, and how companies can benefit from taking chances on people with different experiences. Lindsay shares how a chance encounter at a party led to meeting someone who helped her transition into the tech industry, highlighting the role of networking and being open to new connections. Lindsay talks about governance in Power Automate. She discusses the considerations that are similar to governance around Power Apps and other Power tools.  Lindsay talks about connectors and shares her experience of going through Microsoft's recommended list of connectors and separating out the business connectors for their personal productivity environment.  Talks about implementing governance in Power Automate and how Lindsay set up a system where users can get access to connectors and how she turned on connectors in the makerspace specifically if they were blocked by DLP policies. Discussions about personal productivity environment in Power Automate. Lindsay shares her experience of changing the default environment into a personal productivity environment and the challenges she faced in keeping everything in that environment. Talks about the importance of understanding the different types of Power Automate flows.  OTHER RESOURCES: Microsoft MVP YouTube Series - How to Become a Microsoft MVP  90-Day Mentoring Challenge - https://ako.nz365guy.com/ AgileXRM AgileXRm - The integrated BPM for Microsoft Power PlatformSupport the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Welcome to the newest episode of The Cloud Pod podcast! Justin, Ryan, Jonathan, Matthew are your hosts this week. Join us as we discuss all things cloud, AI, the upcoming Google AI Conference, AWS Console, and Duet AI for Google cloud.  Titles we almost went with this week:

The Daily Halakha and Kabbalah podcast returns with this new episode about the centrality of wanting/yearning/desire in the process of Tefilla/Alignment. To listen to these episodes on a daily basis, visit www.yesodblocks.com, subscribe, and download our brand new App from the Apple or Google App stores.

If you use Google for anything in your TPT business or if you don't use Google for anything in your TPT business, this episode is going to change your mind because we have Google expert, Adrienne Farrow here, and she's sharing the biggest time waster that she sees sellers committing, her top five productivity tips for working within Google, and so much more! I got to ask her some Google questions that I'd been wanting to ask for a while. My mind was absolutely blown during this conversation with her and yours will be, too. You won't want to miss a single second of this conversation! Purchase Your Ticket to Teacher Seller's Summit: https://laurenfulton.krtra.com/t/oTIxSLPqfhYf         Website: https://www.adriennefarrow.com/  Instagram: https://www.instagram.com/yourgooglebff/ Facebook Group: https://www.facebook.com/groups/yourgooglebffTPT Store: https://www.teacherspayteachers.com/Store/Adrienne-Farrow-9325 Tips on Google Keep Post: https://www.instagram.com/p/CpLE1nvMZ5c/?utm_source=ig_web_copy_link

One of the challenges that retailers face is attributing money spent on digital advertising to in-store results.Fortunately, Footprints AI is helping retailers overcome this challenge by providing them with the tools they need to accurately attribute money spent on digital advertising to in-store results. Footprints uses advanced algorithms and machine learning techniques to analyze customer data and identify patterns that can be used for attribution.Result?Lower customer acquisition costs, higher sales, and predictive traffic.In this chat you will learn:how leveraging this technology does not require any large infrastructure investments from the retailers and works with whatever existing technology they have in placehow retailers can take advantage of this data by targeting customers through their own media channels or synchronizing with other platforms such as Facebook Ads, Instagram Ads, TikTok Ads, Waze or Google Apps.How he was able to create co-sale partnerships with companies like Orange and Microsoft which were secured through a long engagement process including traveling 3000 kilometers to meet with the head of retail startups and technology innovation at Walmart And the funny story on how he kept missing the opportunity to make a move on the love of his life***CONNECTChambr's website: https://www.playlearn.games/chambr

Nope, OnePlus and Oppo aren't leaving Europe. Messaging is no longer Android's mess; it's an iPhone problem: Talking RCS with Hiroshi Lockheimer. Android 14 Share Sheet improvements Florence Ion reviews the Samsung Galaxy S23 Pebble might be coming back as a small Android phone Vivo tipped to launch a Samsung Galaxy Z Flip 4 style foldable LG V60 users get surprise Android 13 update in the US Google app getting comically large search bar on Android WhatsApp's incoming group call feature may take cues from Twitter Get MLB for free from T-Mobile JR's tip of the week: Do you want YouTube on Android tips? You got 'em! Why haven't I received the March 2023 security update on my Pixel 6a yet? A viewer wants to see more coverage of budget phones What does BARD stand for? Ask BARD! Read our show notes here: http://bit.ly/42S9Jgn Hosts: Ron Richards, Huyen Tue Dao, and Florence Ion Co-Host: JR Raphael Subscribe to All About Android at https://twit.tv/shows/all-about-android. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: decisions.com/twit

Nope, OnePlus and Oppo aren't leaving Europe. Messaging is no longer Android's mess; it's an iPhone problem: Talking RCS with Hiroshi Lockheimer. Android 14 Share Sheet improvements Florence Ion reviews the Samsung Galaxy S23 Pebble might be coming back as a small Android phone Vivo tipped to launch a Samsung Galaxy Z Flip 4 style foldable LG V60 users get surprise Android 13 update in the US Google app getting comically large search bar on Android WhatsApp's incoming group call feature may take cues from Twitter Get MLB for free from T-Mobile JR's tip of the week: Do you want YouTube on Android tips? You got 'em! Why haven't I received the March 2023 security update on my Pixel 6a yet? A viewer wants to see more coverage of budget phones What does BARD stand for? Ask BARD! Read our show notes here: http://bit.ly/42S9Jgn Hosts: Ron Richards, Huyen Tue Dao, and Florence Ion Co-Host: JR Raphael Subscribe to All About Android at https://twit.tv/shows/all-about-android. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: decisions.com/twit

Nope, OnePlus and Oppo aren't leaving Europe. Messaging is no longer Android's mess; it's an iPhone problem: Talking RCS with Hiroshi Lockheimer. Android 14 Share Sheet improvements Florence Ion reviews the Samsung Galaxy S23 Pebble might be coming back as a small Android phone Vivo tipped to launch a Samsung Galaxy Z Flip 4 style foldable LG V60 users get surprise Android 13 update in the US Google app getting comically large search bar on Android WhatsApp's incoming group call feature may take cues from Twitter Get MLB for free from T-Mobile JR's tip of the week: Do you want YouTube on Android tips? You got 'em! Why haven't I received the March 2023 security update on my Pixel 6a yet? A viewer wants to see more coverage of budget phones What does BARD stand for? Ask BARD! Read our show notes here: http://bit.ly/42S9Jgn Hosts: Ron Richards, Huyen Tue Dao, and Florence Ion Co-Host: JR Raphael Subscribe to All About Android at https://twit.tv/shows/all-about-android. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: decisions.com/twit

Claire Hughes Johnson: Scaling People Claire Hughes Johnson is a corporate officer and advisor for Stripe, a global technology company that builds economic infrastructure for the internet. She previously served as Stripe's Chief Operating Officer, helping the company grow from fewer than 200 employees to more than 8,000. Prior to Stripe, Claire spent 10 years at Google leading various business teams, including overseeing aspects of Gmail, Google Apps, and consumer operations. She is a board member at Hallmark Cards, The Atlantic, Ameresco, and HubSpot. Claire also serves as a trustee and the current board president of Milton Academy. She is the author of Scaling People: Tactics for Management and Company Building*. You are charged with leading a reorg, but do you know the mindset, actions, and steps to take? In this conversation, Claire and I explore some of the key lessons she's discovered as an executive leader in a quickly growing enterprise. We discuss the key triggers for a reorg, the three phases of reorganization, and common pitfalls leaders should avoid. Key Points Reorganizations or restructurings and often seen as a sign of a problem, but that's not always the case. Why reorganize? Two triggers: (1) your team structure doesn't match your strategy and/or (2) you have a talent issue. While there are times to go slower, the bias should be to move with haste. Don't leave ice cream on the counter for too long. Be very cautious about creating structure around a single individual. Three phases of a reorg: Phase 0: Decide whether you need a reorg and determine your new structure. Phase 1: Get buy-in from the key people who need to be involved. Phase 2: Create a communications plan and inform all of those affected. Resources Mentioned Scaling People: Tactics for Management and Company Building* by Claire Hughes Johnson Transitions* by William Bridges Interview Notes Download my interview notes in PDF format (free membership required). Related Episodes How to Manage Former Peers, with Tom Henschel (episode 257) Three Steps to Great Career Conversations, with Russ Laraway (episode 370) How to Solve the Toughest Problems, with Wendy Smith (episode 612) Discover More Activate your free membership for full access to the entire library of interviews since 2011, searchable by topic.

Brought to you by Linear—The new standard for modern software development | Vanta—Automate compliance. Simplify security. | Dovetail—Bring your customer into every decision.—Claire Hughes Johnson is the former COO at Stripe, which she helped scale from a small startup to the legendary company it is today. She also spent close to 10 years at Google, where she filled several executive roles, including VP of Global Online Sales and Director of Sales and Ops for Gmail, YouTube, Google Apps, and AdWords. Claire shares invaluable insights from her upcoming book, Scaling People, on how to successfully build and scale organizations. We talk about the importance of building self-awareness, and Claire gives tons of tactical advice on how to say things that are hard to say, as well as how to improve your internal communications, and so much more.Find the full transcript at: https://www.lennyspodcast.com/lessons-from-scaling-stripe/#transcriptWhere to find Claire Hughes Johnson:• Twitter: https://twitter.com/chughesjohnson• LinkedIn: https://www.linkedin.com/in/claire-hughes-johnson-7058/Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• Twitter: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/Referenced:• Scaling People: Tactics for Management and Company Building: https://www.amazon.com/Scaling-People-Tactics-Management-Building/dp/1953953212• John Collison on LinkedIn: https://www.linkedin.com/in/johnbcollison/• Patrick Collison on LinkedIn: https://www.linkedin.com/in/patrickcollison/• Discord: https://discord.com/• Toast: https://pos.toasttab.com/• High Growth Handbook: Scaling Startups from 10 to 10,000 People: https://www.amazon.com/High-Growth-Handbook-Elad-Gil/dp/1732265100• Myers-Briggs personality types: https://www.myersbriggs.org/my-mbti-personality-type/mbti-basics/• Enneagram types: https://www.enneagraminstitute.com/type-descriptions• Disc assessment: https://www.discprofile.com/what-is-disc• Conscious Business: How to Build Value through Values: https://www.amazon.com/Conscious-Business-Build-through-Values/dp/1622032020/• Reid Hoffman on LinkedIn: https://www.linkedin.com/in/reidhoffman/• Eeke de Milliano on Lenny's Podcast: https://www.lennyspodcast.com/how-to-foster-innovation-and-big-thinking-eeke-de-milliano-retool-stripe/• Running an effective meeting: https://www.youtube.com/watch?v=GIiaFW874q8• Gokul's S.P.A.D.E. framework: https://coda.io/@gokulrajaram/gokuls-spade-toolkitIn this episode, we cover:(00:00) Claire's background(04:47) How writing Scaling People helped Claire crystallize learnings(07:58) How she got started writing her book(11:11) Advice that changed the way she operates(15:18) The lack of job titles at Stripe(19:01) Scaling your organizational structure(23:46) What founders need to think about in the early days(26:38) Personal operating principles(29:04) How to crystallize your own values to gain self-awareness(34:29) Advice for saying uncomfortable things(37:12) Being an explorer, not a lecturer(43:57) Come back to the operating system(47:17) Organizational structure using Claire's house metaphor(50:50) Why some chaos is normal(52:45) Founding documents you need(58:30) The components of a company's operating system (1:01:31) Finding the right cadence(1:04:48) COOs and which types of businesses need them(1:11:30) Advice on scaling quickly(1:13:56) The importance of internal communications(1:16:03) Running effective meetings(1:17:17) Advice for aligning and making decisions as a managerProduction and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

In this episode of the Digital Marketing Podcast, the team delve into Google Web Stories, which are a web-based version of the popular story format. The stories are discoverable through Google Search and the Google App, which can be downloaded via iOS and Android. You can also embed them into your own web pages. Daniel, Ciaran and Louise also explore YouTube's latest Culture and Trends report, giving some interesting insights into the most notable creators and trends driving video culture.

Creating course content in an LMS can be time-consuming and tedious. In this episode, Dave Ghidiu joins us to discuss ways of leveraging Google Apps to simplify content creation, facilitate student collaboration, and to allow students to maintain access to their work after the semester ends. Dave is an Assistant Professor of Computer Science and Coordinator of the Gladys M. Snyder Center for Teaching and Learning at Finger Lakes Community College. Previous to his time at FLCC, he spent a few years as a Senior Instructional Designer at Open SUNY, where he was a lead designer for the OSCQR rubric software. A transcript of this episode and show notes may be found at http://teaforteaching.com.

Erica and Darius discuss ways to use Google apps to support executive functioning.  The many benefits of Google Drive, Google Docs, and Google Keep are reviewed.  They also provide some tips on how to maximize the experience and touch on some other Google tools. 1. Google Drive: file storage and synchronization service developed by Google - Shares files and folders with other users (view, download, and collaborate) - Accesses files from any device such as smartphones, tablets or personal computers - Allows storing images, videos, recordings, stories, designs, drawings and many more - Is compatible with various devices - Searches files quickly - Opens up to 30 types of files - Offers optical character recognition (allows you to extract and search text from images or pdfs) - Organizes visually through folders and emojis  2. Google Docs - Allows you to access your documents from anywhere - Enables real-time collaboration - Tracks document changes automatically and reverts to any previous versions - Saves automatically - Allows offline work - Presents a powerful editing tool - Allows voice typing instead of writing - Tracks changes and the people that make them - Offers security: only people with access can see it - Presents extensions    -Bibcitation - Bibliography and Citation Generator    -OneLook Thesaurus    -Scrible - Research writing tool - Offers special characters - Presents styles/headings - Presents accessibility tools    -Screen Reader    -Screen Magnifier 3. Google Keep - Creates notes or lists with checkboxes - Allows you to cross off things that are done and archive old work - Assigns color backgrounds - Organizes your notes as lists, images, and recordings - Pins important items to the top and easily rearranges or nests tasks - Presents content in a sequence or simultaneously (sticky notes) - Adds labels - like folders this can organize content under headings - Offers a search bar to find a word in your notes - Converts a note into a full Google Docs document  - Allows you to open Google Keep while in Docs and drag content into text - Allows, photos, images, and doodles - Records voice memos from mobile device - Transcribes text from your photos and voice memos, making it easier to look up your files  - Allows one to share and collaborate - Sets reminders by time or location Links: Getting things done book: https://tinyurl.com/y4ubcprv Scrible: https://www.scrible.com/writing-tools/ Bibcitation: https://www.bibcitation.com/ OneLook Thesaurus: https://tinyurl.com/2p8y96tt BulletMap Academy: https://bulletmapacademy.com/ Learning Specialist Courses:https://www.learningspecialistcourses.com/ Executive functions and Study Skills Course: https://tinyurl.com/n86mf2bx Good Sensory Learning: https://goodsensorylearning.com/ Dyslexia at Work: www.dyslexiawork.com

In this week's episode, I am joined by Dr. Christopher Nguyen. We talk about the emerging concept of "human first AI," and the changing terrain of both AI ethics, and AI development. We imagine what a human-first approach to AI might look like, and what gets in the way of developing an ethical approach to AI in the tech industry. Christopher Nguyen's career spans four decades, and he has become an industry leader in the field of Engineering broadly, and AI specifically. Since fleeing Vietnam in 1978, he has founded multiple tech companies and has played key roles in everything from building the first flash memory transistors at Intel to spearheading the development of Google Apps as its first Engineering Director. As a professor, Christopher co-founded the Computer Engineering program at the Hong Kong University of Science and Technology, or HKUST. He earned his Bachelor of Science. degree from the University of California-Berkeley, summa cum lauday, and a PhD. from Stanford University. Today, he's become an outspoken proponent of the emerging field of “AI Engineering” and a thought leader in the space of ethical, human-centric AI. With his latest company, Aitomatic, he's hoping to redefine how companies approach AI in the context of life-critical, industrial applications.

➤ Polestar Exec Goes After Toyota For Its Anti-EV Strategy ➤ Porsche, Google in talks over Google Apps access ➤ Citroen e-C4 X Review ➤ PowerCo secures land for Volkswagen's next battery factory ➤ EVgo Launches “EVgo ReNew” ➤ Jay Leno Likes the Rivian R1T, but Here He is Driving the R1S Together With RJ Scaringe ➤ Second life energy storage firms anticipating EV battery boom ➤ Tesla owner tries free SpaceX Starlink Internet service at Supercharge ➤ Huawei AITO Slashes Prices to Compete with Tesla - Gizmochina ➤ Over half of Lincoln dealers opt into Ford's EV program ➤ Here's Every New Electric Vehicle Model for Sale in the U.S. for 2023

Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. In this episode of the podcast, the topic is Human-First AI. Our guest is Christopher Nguyen (https://www.linkedin.com/in/ctnguyen/), CEO, and Co-Founder of Aitomatic (https://www.aitomatic.com/). In this conversation, we talk about the why and the how of human-first AI because it seems that digital AI is one thing, but physical AI is a whole other ballgame in terms of finding enough high-quality data to label the data correctly. The fix is to use AI to augment existing workflows. We talk about fishermen at Furuno, human operators in battery factories at Panasonic, and energy optimization at Westinghouse. If you like this show, subscribe at augmentedpodcast.co (https://www.augmentedpodcast.co/). If you like this episode, you might also like Episode 80: The Augmenting Power of Operational Data, with Tulip's CTO, Rony Kubat (https://www.augmentedpodcast.co/80). Augmented is a podcast for industry leaders, process engineers, and shop floor operators, hosted by futurist Trond Arne Undheim (https://trondundheim.com/) and presented by Tulip (https://tulip.co/). Follow the podcast on Twitter (https://twitter.com/AugmentedPod) or LinkedIn (https://www.linkedin.com/company/75424477/). Trond's Takeaway: Physical AI is much more interesting of a challenge than pure digital AI. Imagine making true improvements to the way workers accomplish their work, helping them be better, faster, and more accurate. This is the way technology is supposed to work, augmenting humans, not replacing them. In manufacturing, we need all the human workers we can find. As for what happens after the year 2100, I agree that we may have to model what that looks like. But AIs might be even more deeply embedded in the process, that's for sure. Transcript: TROND: Welcome to another episode of the Augmented Podcast. Augmented brings industrial conversations that matter, serving up the most relevant conversations in industrial tech. Our vision is a world where technology will restore the agility of frontline workers. In this episode of the podcast, the topic is Human-First AI. Our guest is Christopher Nguyen, CEO, and Co-Founder of Aitomatic. In this conversation, we talk about the why and the how of human-first AI because it seems that digital AI is one thing, but physical AI is a whole other ballgame in terms of finding enough high-quality data to label the data correctly. The fix is to use AI to augment existing workflows. We talk about fishermen at Furuno, human operators in battery factories at Panasonic, and energy optimization at Westinghouse. Augmented is a podcast for industrial leaders, process engineers, and for shop floor operators hosted by futurist Trond Arne Undheim and presented by Tulip. Christopher, how are you? And welcome. CHRISTOPHER: Hi, Trond. How are you? TROND: I'm doing great. I thought we would jump into a pretty important subject here on human-first AI, which seems like a juxtaposition of two contradictory terms, but it might be one of the most important types of conversations that we are having these days. I wanted to introduce you quickly before we jump into this. So here's what I've understood, and you correct me if I'm wrong, but you are originally from Vietnam. This is back in the late '70s that you then arrived in the U.S. and have spent many years in Silicon Valley mostly. Berkeley, undergrad engineering, computer science, and then Stanford Ph.D. in electrical engineering. You're a sort of a combination, I guess, of a hacker, professor, builder. Fairly typical up until this point of a very successful, accomplished sort of Silicon Valley immigrant entrepreneur, I would say, and technologist. And then I guess Google Apps is something to point out. You were one of the first engineering directors and were part of Gmail, and Calendar, and a bunch of different apps there. But now you are the CEO and co-founder of Aitomatic. What we are here to talk about is, I guess, what you have learned even in just the last five years, which I'm thrilled to hear about. But let me ask you this first, what is the most formational and formative experience that you've had in these years? So obviously, immigrant background and then a lot of years in Silicon Valley, what does that give us? CHRISTOPHER: I guess I can draw from a lot of events. I've always had mentors. I can point out phases of my life and one particular name that was my mentor. But I guess in my formative years, I was kind of unlucky to be a refugee but then lucky to then end up in Silicon Valley at the very beginning of the PC revolution. And my first PC was a TI-99/4A that basically the whole household could afford. And I picked it up, and I have not stopped hacking ever since. So I've been at this for a very long time. TROND: So you've been at this, which is good because actually, good hacking turns out takes a while. But there's more than that, right? So the story of the last five years that's interesting to me because a lot of people learn or at least think they learn most things early. And you're saying you have learned some really fundamental things in the last five years. And this has to do with Silicon Valley and its potential blindness to certain things. Can you line that up for us? What is it that Silicon Valley does really well, and what is it that you have discovered that might be an opportunity to improve upon? CHRISTOPHER: Well, I learn new things every four or five years. I actually like to say that every four or five years, I look back, and I say, "I was so stupid five years ago." [laughs] So that's been the case. TROND: That's a very humbling but perhaps a very smart knowledge acquisition strategy, right? CHRISTOPHER: Yeah. And in the most recent five years...so before co-founding Aitomatic, which is my latest project and really with the same team...and I can talk a lot more about that. We've worked with each other for about ten years now. But in the intervening time, there's a four-and-a-half-year block when we were part of Panasonic. So we had a company called Arimo that was acquired by Panasonic for our machine learning AI skills and software. And I would say if you look at my entire history, even though I did start with my degree in semiconductor all the way down to device physics and Intel and so on, but in terms of a professional working career, that was the first time we actually faced the physical world as a Silicon Valley team. And anybody who's observed Silicon Valley in the last 15-20 years, certainly ten years, has seen a marked change in terms of the shift from hardware to software. And my friend Marc Andreessen likes to say, "Software is eating the world." If you look at education, you know, the degrees people are getting, it has shifted entirely from engineering all the way to computer science. And the punch line, I guess, the observation is that we Silicon Valley people do not get physical. We don't understand the manufacturing world. We don't know how to do HVAC and so on. And so when we build software, we tend to go for the digital stuff. TROND: Christopher, it's almost surprising given the initial thrust of Silicon Valley was, of course, hardware. So it's not surprising to me, I guess because I've been observing it as well. But it is striking more than surprising that a region goes through paradigms. CHRISTOPHER: Yeah. Yeah. And it's a global trend. It's the offshoring of low-end, shall we say, low-value manufacturing and so on. And we're discovering that we actually went a little too far. So we don't have the skill set, the expertise anymore. And it's become a geopolitical risk. TROND: Right. Well, a little bit too far, maybe, or not far enough. Or, I mean, tell us what it is that you're losing when you lose the hardware perspective, particularly in this day and age with the opportunities that we're about to talk about. CHRISTOPHER: Well, I can talk specifically about the things that touch my immediate spheres. Maybe you can think abstractly about the lack of tooling expertise and manufacturing know-how, and so on. But as part of Panasonic, the acquisition was all about taking a Silicon Valley team and injecting AI, machine learning across the enterprise. And so we were part of that global AI team reporting to the CTO office. And we found out very quickly that a lot of the software techniques, the machine learning, for example, when you think about people saying data is the fuel for machine learning and specifically labeled data, right? In the digital world, the Google place that I came from, it was very easy to launch a digital experiment and collect labels, decisions made by users. You can launch that in the morning, and by evening you're building examples. You can't do that in the physical world. Atoms move a lot more slowly. And so when you try to do something like predictive maintenance, you don't have enough failure examples to train machine learning models from. So all of the techniques, all of the algorithms that we say we developed from machine learning that seem to work so well, it turns out it worked so well because the problem space that we worked on has been entirely digital, and they all fail when it comes to manufacturing, the things that you can touch and feel, you know, cars that move and so on. TROND: I want to ask you this, Christopher, because the first company you helped co-found was, in fact, a contract manufacturer. Do you think that reflecting on this long career of yours and these various experiences, what was it that convinced you before others? I mean, you're not the only one now in the Valley that has started to focus on manufacturing and including hardware again, but it is rare still. What does it require to not just think about manufacturing but actually start to do compute for manufacturing? Is it just a matter of coming up with techniques? Or is it a whole kind of awareness that takes longer? So, in your case, you've been aware of manufacturing, acutely aware of it for decades. CHRISTOPHER: I would say there are two things, one is obvious, and the other was actually surprising to me. The obvious one is, of course, knowledge and experience. When we work on sonar technology that shoots a beam down an echogram that comes back to detect fish in the ocean, it's very necessary, not just convenient, but necessary for the engineers that work on that to understand the physics of sound waves travel underwater, and so on. So that education, I have long debates, and it's not just recently. When we were trying to structure a syllabus for a new university, I had long debates with my machine-learning friends, and they said, "We don't need physics." And I said, "We need physics." That's one thing. But you can concretely identify you need to know this. You need to know this. So if you're going to do this, learn the following thing. The thing that was more unexpected for me in the last five years as I sort of sound this bell of saying, hey, we need to modify our approach; we need to optimize our algorithms for this world, is a cultural barrier. It's kind of like the story of if you have a hammer, you want to go look for nails. So Silicon Valley today does not want to look for screwdrivers yet for this world. TROND: So you're saying Silicon Valley has kind of canceled the physical world? If you want to be really sort of parabolic about this, it's like software is eating the world, meaning software is what counts, and it's so efficient. Why go outside this paradigm, basically? If there's a problem that apparently can't be fixed by software, it's not a valuable problem. CHRISTOPHER: Or I can't solve that problem with my current approach. I just have to squint at it the right way. I have to tweak the problem this way and so on despite the fact that it's sort of an insurmountable challenge if you tried to do so. And concretely, it is like, just give me enough data, and I'll solve it. And if you don't have enough data, you know what? Go back and get more data. [chuckles] That's what I myself literally said. But people don't have the luxury of going back to get more data. They have to go to market in six months, and so on. TROND: Right. And so manufacturing...and I can think of many use cases where obviously failure, for example, is not something...you don't really want to go looking for more failure than you have or artificially create failure in order to stress test something unless that's a very safe way of doing so. So predictive maintenance then seems like a, I guess, a little bit of a safer space. But what is it about that particular problem that then lends itself to this other approach to automating labeling? Or what exactly is it that you are advocating one should do to bridge to digital and the physical AIs? CHRISTOPHER: I actually disagree that it is a safer space. TROND: Oh, it's not a safer space to you. CHRISTOPHER: That itself there's a story in that, so let's break that down. TROND: Let's do it. CHRISTOPHER: So, again, when I say Silicon Valley, it is a symbol for a larger ecosystem that is primarily software and digital. And when I say we, because I've worn many hats, I have multiple wes, including academia; I've been a professor as well. When we approach the predictive maintenance problem, if you approach it as machine learning, you got to say, "Do this with machine learning," the first thing you ask for...let's say I'm a data scientist; I'm an AI engineer. You have this physical problem. It doesn't matter what it is; just give me the dataset. And the data set must have rows and columns, and the rows are all the input variables. And then there should be some kind of column label. And in this case, it'll be a history of failures of compressors failing, you know, if the variables are such, then it must be a compressor. If the variables are such, it must be the air filter, and so on. And it turns out when you ask for that kind of data, you get ten rows. [laughs] That's not enough to do machine learning on. So then people, you know, machine learning folks who say they've done predictive maintenance, they actually have not done predictive maintenance. That's the twist. What they have done is anomaly detection, which machine learning can do because, with anomaly detection, I do not need that failure label. It just gives me all the sensor data. What anomaly detection really does is it learns the normal patterns. If you give it a year's worth of data, it'll say, okay, now I've seen a year's worth of data. If something comes along that is different from the past patterns; I will tell you that it's different. That's only halfway to predictive maintenance. That is detecting that something is different today. That is very different from, and it isn't predicting, hey, that compressor is likely to fail about a month from now. And that when we were part of Panasonic, it turns out the first way...and we solved it exactly the way I've described. We did it with the anomaly detection. And then we threw it over the wall to the engineer experts and said, "Well, now that you have this alert, go figure out what may be wrong." And half of the time, they came back and said, "Oh, come on, it was just a maintenance event. Why are you bothering me with this?" TROND: But, Christopher, leveraging human domain expertise sounds like a great idea. But it can't possibly be as scalable as just leveraging software. So how do you work with that? And what are the gains that you're making? CHRISTOPHER: I can show you the messenger exchange I had with another machine-learning friend of mine who said exactly the same thing yesterday, less than 24 hours ago. TROND: [laughs] CHRISTOPHER: He said, "That's too labor-intensive." And I can show you the screen. TROND: And how do you disprove this? CHRISTOPHER: Well, [chuckles] it's not so much disproving, but the assumption that involving humans is labor-intensive is only true if you can't automate it. So the key is to figure out a way, and 10-20 years ago, there was limited technology to automate or extract human knowledge, expert systems, and so on. But today, technologies...the understanding of natural language and so on, machine learning itself has enabled that. That turns out to be the easier problem to solve. So you take that new tool, and you apply it to this harder physical problem. TROND: So let's go to a hard, physical problem. You and I talked about this earlier, and let's share it with people. So I was out fishing in Norway this summer. And I, unfortunately, didn't get very much fish, which obviously was disappointing on many levels. And I was a little surprised, I guess, of the lack of fish, perhaps. But I was using sonar to at least identify different areas where people had claimed that there were various types of fish. But I wasn't, I guess, using it in a very advanced way, and we weren't trained there in the boat. So we sort of had some sensors, but we were not approaching it the right way. So that helped me...and I know you work with Furuno, and Garmin is the other obviously player in this. So fish identification and detection through sonar technology is now the game, I guess, in fishery and, as it turns out, even for individuals trying to fish these days. What is that all about? And how can that be automated, and what are the processes that you've been able to put in place there? CHRISTOPHER: By the way, that's a perfect segue into it. I can give a plug perhaps for this conference that I'm on the organizing committee called Knowledge-First World. And Furuno is going to be presenting their work exactly, talking a lot about what you're talking about. This is kind of coming up in November. It is the first conference of its kind because this is AI Silicon Valley meets the physical world. I think you're talking about the fish-finding technology from companies like Furuno, and they're the world's largest market share in marine navigation and so on. And the human experts in this are actually not even the engineers that build these instruments; it's the fishermen, right? The fishermen who have been using this for a very long time combine it with their local knowledge, you know, warm water, cold water, time of day, and so on. And then, after a while, they recognize patterns that come back in this echogram that match mackerel, or tuna, or sardines, and so on. And Furuno wants to capture that knowledge somehow and then put that model into the fish-finding machine that you and I would hold. And then, instead of seeing this jumbled mess of the echogram data, we would actually see a video of fish, for example. It's been transformed by this algorithm. TROND: So, I mean, I do wish that we lived in a world where there was so much fish that we didn't have to do this. But I'm going to join your experiment here. And so what you're telling me is by working with these experts who are indeed fishermen, they're not experts in sonar, or they're not experts in any kind of engineering technology, those are obviously the labelers, but they are themselves giving the first solutions for how they are thinking about the ocean using these technologies. And then somehow, you are turning that into an automatable, an augmented solution, essentially, that then can find fish in the future without those fishermen somehow being involved the next time around because you're building a model around it. CHRISTOPHER: I'll give you a concrete explanation, a simplified version of how it works, without talking about the more advanced techniques that are proprietary to Furuno. The conceptual approach is very, very easy to understand, and I'll talk about it from the machine learning perspective. Let's say if I did have a million echograms, and each echogram, each of these things, even 100,000, is well-labeled. Somebody has painstakingly gone through the task of saying, okay, I'm going to circle this, and that is fish. And that is algae, and that's sand, and that's marble. And by the way, this is a fish, and this is mackerel, and so on. If somebody has gone through the trouble of doing that, then I can, from a human point of view, just run an algorithm and train it. And then it'll work for that particular region, for that particular time. Okay, well, we need to go collect more data, one for Japan, the North Coast, and one for Southwestern. So that's kind of a lot of work to collect essentially what this pixel data is, this raw data. When you present it to an experienced fisherman, he or she would say, "Well, you see these bubbles here, these circles here with a squiggly line..." So they're describing it in terms of human concepts. And then, if you sit with them for a day or two, you begin to pick up these things. You don't need 100,000-pixel images. You need these conceptual descriptions. TROND: So you're using the most advanced AI there is, which is the human being, and you're using them working with these sonar-type technologies. And you're able to extract very, very advanced models from it. CHRISTOPHER: The key technology punch line here is if you have a model that understands the word circle and squiggly line, which we didn't before, but more recently, we begin to have models, you know, there are these advances called large language models. You may have heard of GPT-3 and DALL-E and so on, you know, some amazing demonstrations coming out of OpenAI and Google. In a very simplified way, we have models that understand the world now. They don't need raw pixels. These base models are trained from raw pixels, but then these larger models understand concepts. So then, we can give directions at this conceptual level so that they can train other models. That's sort of the magic trick. TROND: So it's a magic trick, but it is still a difficult world, the world of manufacturing, because it is physical. Give me some other examples. So you worked with Panasonic. You're working with Furuno in marine navigation there and fishermen's knowledge. How does this work in other fields like robotics, or with car manufacturing, or indeed with Panasonic with kind of, I don't know, battery production or anything that they do with electronics? CHRISTOPHER: So, to give you an example, you mentioned a few things that we worked on, you know, robotics in manufacturing, robotics arm, sort of the manufacturing side, and the consistency of battery sheets coming off the Panasonic manufacturing line in Sparks, Nevada as well as energy optimization at Westinghouse. They supply into data centers, and buildings, and so on. And so again, in every one of these examples, you've got human expertise. And, of course, this is much more prevalent in Asia because Asia is still building things, but some of that is coming back to the U.S. There are usually a few experts. And by the way, this is not about thousands of manufacturing line personnel. This is about three or four experts that are available in the entire company. And they would be able to give heuristics. –They will be able to describe at the conceptual level how they make their decisions. And if you have the technology to capture that in a very efficient way, again, coming back to the idea that if you make them do the work or if you automate their work, but in a very painstaking way like thousands of different rules, that's not a good proposition. But if you have some way to automate the automation, automate the capturing of that knowledge, you've got something that can bridge this physical, digital divide. MID-ROLL AD: In the new book from Wiley, Augmented Lean: A Human-Centric Framework for Managing Frontline Operations, serial startup founder Dr. Natan Linder and futurist podcaster Dr. Trond Arne Undheim deliver an urgent and incisive exploration of when, how, and why to augment your workforce with technology, and how to do it in a way that scales, maintains innovation, and allows the organization to thrive. The key thing is to prioritize humans over machines. Here's what Klaus Schwab, Executive Chairman of the World Economic Forum, says about the book: "Augmented Lean is an important puzzle piece in the fourth industrial revolution." Find out more on www.augmentedlean.com, and pick up the book in a bookstore near you. TROND: How stable is that kind of model knowledge? Because I'm just thinking about it in the long run here, are these physical domain experts that are giving up a little bit of their superpower are they still needed then in a future scenario when you do have such a model? Or will it never be as advanced as they are? Or is it actually going to be still kind of an interface that's going to jump between machines and human knowledge kind of in a continuous loop here? CHRISTOPHER: Yeah, in the near term, it turns out we're not working on replacing experts as much as scaling experts. Almost every case we've worked on, companies are in trouble largely because the experts are very, very few and far between, and they're retiring. They're leaving. And that needs to be scaled somehow. In the case of, for example, the cold chain industry all of Japan servicing the supermarkets, you know, there's 7-ELEVEN, there's FamilyMart, and so on, there are three experts who can read the sensor data and infer what's likely to fail in the next month. So in the near term, it's really we need these humans, and we need more of them. TROND: I'm glad to hear that even that is a bit of a contrarian message. So you're saying physical infrastructure and the physical world matters. You're saying humans matter. [laughs] It's interesting. Yeah, that's contrarian in Silicon Valley, I'll tell you that. CHRISTOPHER: It is. And, in fact, related to that problem, Hussmann, which is a refrigeration company, commercial refrigeration supplies to supermarkets. It was a subsidiary of Panasonic. It has a really hard time getting enough service personnel, and they have to set up their own universities, if you will, to train them. And these are jobs that pay very well. But everybody wants to be in software these days. Coming back to the human element, I think that long-term I'm an optimist, not a blind optimist but a rational one. I think we're still going to need humans to direct machines. The machine learning stuff is data that reflects the past, so patterns of the past, and you try to project that in the future. But we're always trying to effect some change to the status quo. Tomorrow should be a better day than today. So is that human intent that is still, at least at present, lacking in machines? And so we need humans to direct that. TROND: So what is the tomorrow of manufacturing then? How fast are we going to get there? Because you're saying, well, Silicon Valley has a bit of a learning journey. But there is language model technology or progress in language models that now can be implemented in software and, through humans, can be useful in manufacturing already today. And they're scattered examples, and you're putting on an event to show this. What is the path forward here, and how long is this process? And will it be an exponential kind of situation here where you can truly integrate amazing levels of human insight into these machine models? Or will it take a while of tinkering before you're going to make any breakthroughs? Because one thing is the breakthrough in understanding human language, but what you're saying here is even if you're working only with a few experts, you have to take domain by domain, I'm assuming, and build these models, like you said, painstakingly with each expert in each domain. And then, yes, you can put that picture together. But the question is, how complex of a picture is it that you need to put together? Is it like mapping the DNA, or is it bigger? Or what kind of a process are we looking at here? CHRISTOPHER: If we look at it from the dimension of, say, knowledge-based automation, in a sense, it is a continuation. I believe everything is like an s-curve. So there's acceleration, and then there's maturity, and so on. But if you look back in the past, which is sort of instructive for the future, we've always had human knowledge-based automation. I remember the first SMT, the Surface Mount Technology, SMT wave soldering machine back in the early '90s. That was a company that I helped co-found. It was about programming the positioning of these chips that would just come down onto the solder wave. And that was human knowledge for saying, move it up half a millimeter here and half a millimeter there. But of course, the instructions there are very micro and very specific. What machine learning is doing...I don't mean to sort of bash machine learning too much. I'm just saying culturally, there's this new tool really that has come along, and we just need to apply the tool the right way. Machine learning itself is contributing to what I described earlier, that is, now, finally, machines can understand us at the conceptual level that they don't have to be so, so dumb as to say, move a millimeter here, and if you give them the wrong instruction, they'll do exactly that. But we can communicate with them in terms of circles and lines, and so on. So the way I see it is that it's still a continuous line. But what we are able to automate, what we're able to ask our machines to do, is accelerating in terms of their understanding of these instructions. So if you can imagine what would happen when this becomes, let's say, ubiquitous, the ability to do this, and I see this happening over the next...Certainly, the base technology is already there, and the application always takes about a decade. TROND: Well, the application takes a decade. But you told me earlier that humans should at least have this key role in this knowledge-first application approach until 2100, you said, just to throw out a number out there. That's, to some people, really far away. But the question is, what are you saying comes after that? I know you throw that number out. But if you are going to make a distinction between a laborious process of painful progress that does progress, you know, in each individual context that you have applied to human and labeled it, and understood a little case, what are we looking at, whether it is 2100, 2075, or 2025? What will happen at that moment? And is it really a moment that you're talking about when machines suddenly will grasp something very, very generic, sort of the good old moment of singularity, or are you talking about something different? CHRISTOPHER: Yeah, I certainly don't think it's a moment. And, again, the HP-11C has always calculated Pi far faster and with more digits than I have. So in that sense, in that particular narrow sense, it's always been more intelligent than I am. TROND: Yeah. Well, no one was questioning whether a calculator could do better calculations than a human. For a long time -- CHRISTOPHER: Hang on. There's something more profound to think about because we keep saying, well, the minute we do something, it's okay; that's not intelligence. But what I'm getting to is the word that I would refer to is hyper-evolution. So there's not a replacement of humans by machines. There's always been augmentation, and intelligence is not going to be different. It is a little disturbing to think about for some of us, for a lot of us, but it's not any different from wearing my glasses. Or I was taking a walk earlier this morning listening to your podcast, and I was thinking how a pair of shoes as an augmented device would seem very, very strange to humans living, say, 500 years ago, the pair of shoes that I was walking with. So I think in terms of augmenting human intelligence, there are companies that are working on plugging in to the degree that that seems natural or disturbing. It is inevitable. TROND: Well, I mean, if you just think about the internet, which nowadays, it has become a trope to think about the internet. I mean, not enough people think about the internet as a revolutionary technology which it, of course, is and has been, but it is changing. But whether you're thinking about shoes, or the steam engine, or nuclear power, or whatever it is, the moment it's introduced, and people think they understand it, which most people don't, and few of us do, it seems trivial because it's there. CHRISTOPHER: That's right. TROND: But your point is until it's there, it's not trivial at all. And so the process that you've been describing might sound trivial, or it might sound complex, but the moment it's solved or is apparently solved to people, we all assume that was easy. So there's something unfair about how knowledge progresses, I guess. CHRISTOPHER: That's right. That's right. We always think, yeah, this thing that you describe or I describe is very, very strange. And then it happens, and you say, "Of course, that's not that interesting. Tell me about the future." TROND: Well, I guess the same thing has happened to cell phones. They were kind of a strange thing that some people were using. It was like, okay, well, how useful is it to talk to people without sitting by your desk or in the corner of your house? CHRISTOPHER: I totally remember when we were saying, "Why the hell would I want to be disturbed every moment of the day?" [laughs] I don't want the phone with me, and now I -- TROND: Right. But then we went through the last decade or so where we were saying, "I can't believe my life before the phone." And then maybe now the last two, three years, I would say a lot of people I talk to or even my kids, they're like, "What's the big deal here? It's just a smartphone," because they live with a smartphone. And they've always had it. CHRISTOPHER: They say, "How did you get around without Google Maps?" And then somebody says, "We used maps." And I said, "Before Google Maps." [laughter] TROND: Yeah. So I guess the future here is an elusive concept. But I just want to challenge you one more time then on manufacturing because manufacturing, for now, is a highly physical exercise. And, of course, there's virtual manufacturing as well, and it builds on a lot of these techniques and machine learning and other things. How do you see manufacturing as an industry evolve? Is it, like you said, for 75 years, it's going to be largely very recognizable? Is it going to look the same? Is it going to feel the same? Is the management structure the way engineers are approaching it, and the way workers are working? Are we going to recognize all these things? Or is it going to be a little bit like the cell phone, and we're like, well, of course, it's different. But it's not that different, and it's not really a big deal to most people. CHRISTOPHER: Did you say five years or 50 years? TROND: Well, I mean, you give me the timeframe. CHRISTOPHER: Well, in 5 years, we will definitely recognize it, but in 50 years, we will not TROND: In 50 years, it's going to be completely different, look different, feel different; factories are all going to be different. CHRISTOPHER: Right, right. I mean, the cliché is that we always overestimate what happens in 5 and underestimate what happens in 50. But the trend, though, is there's this recurring bundling and unbundling of industries; it's a cycle. Some people think it's just, you know, they live ten years, and they say it's a trend, but it actually goes back and forth. But they're sort of increasing specialization of expertise. So, for example, the supply chain over the last 30 years, we got in trouble because of that because it has become so discrete if you want to use one friendly word, but you can also say fragmented in another word. Like, everybody has been focused on just one specialization, and then something like COVID happens and then oh my God, that was all built very precisely for a particular way of living. And nobody's in the office anymore, and we live at home, and that disrupts the supply chain. I think if you project 50 years out, we will learn to essentially matrix the whole industry. You talked about the management of these things. The whole supply chain, from branding all the way down to raw materials, is it better to be completely vertically integrated to be part of this whole mesh network? I think the future is going to be far more distributed. But there'll be fits and starts. TROND: So then my last question is, let's say I buy into that. Okay, let's talk about that for a second; the future is distributed or decentralized, whatever that means. Does that lessen or make globalization even more important and global standardization, I guess, across all geographical territories? I'm just trying to bring us back to where you started with, which was in the U.S., Silicon Valley optimized for software and started thinking that software was eating the world. But then, by outsourcing all of the manufacturing to Asia, it forgot some essential learning, which is that when manufacturing evolves, the next wave looks slightly different. And in order to learn that, you actually need to do it. So does that lesson tell you anything about how the next wave of matrix or decentralization is going to occur? Is it going to be...so one thought would be that it is physically distributed, but a lot of the insights are still shared. So, in other words, you still need global insight sharing, and all of that is happening. If you don't have that, you're going to have pockets that are...they might be very decentralized and could even be super advanced, but they're not going to be the same. They're going to be different, and they're going to be different paths and trajectories in different parts of the world. How do you see this? Do you think that our technology paradigms are necessarily converging along the path of some sort of global master technology and manufacturing? Or are we looking at scattered different pictures that are all decentralized, but yet, I don't know, from a bird's eye view, it kind of looks like a matrix? CHRISTOPHER: I think your question is broader than just manufacturing, although manufacturing is a significant example of that, right? TROND: It's maybe a key example and certainly under-communicated. And on this podcast, we want to emphasize manufacturing, but you're right, yes. CHRISTOPHER: The word globalization is very loaded. There's the supposedly positive effect in the long run. But who is it that said...is it Keynes that said, "In the long run, we're all dead?" [laughs] In the short run, the dislocations are very real. A skill set of a single human being can't just shift from hardware to software, from manufacturing to AI, within a few months. But I think your question is, let's take it seriously on a scale of, say, decades. I think about it in terms of value creation. There will always be some kind of disparity. Nature does not like uniformity. Uniformity is coldness; it is death. There have to be some gradients. You're very good at something; I'm very good at something else. And that happens at the scale of cities and nations as well. TROND: And that's what triggers trade, too, right? CHRISTOPHER: Exactly. TROND: Because if we weren't different, then there would be no incentive to trade. CHRISTOPHER: So when we think about manufacturing coming back to the U.S., and we can use the word...it is correct in one sense, but it's incorrect in another sense. We're not going back to manufacturing that I did. We're not going back to surface mount technology. In other words, the value creation...if we follow the trajectory of manufacturing alone and try to learn that history, what happens is that manufacturing has gotten better and better. Before, we were outsourcing the cheap stuff. We don't want to do that. But then that cheap stuff, you know, people over there build automation and skills, and so on. And so that becomes actually advanced technology. So in a sense, what we're really doing is we're saying, hey, let's go advanced at this layer. I think it's going to be that give and take of where value creation takes place, of course, layered with geopolitical issues and so on. TROND: I guess I'm just throwing in there the wedge that you don't really know beforehand. And it was Keynes, the economist, that said that the only thing that matters is the short term because, in the end, we are all dead eventually. But the point is you don't really know. Ultimately, what China learned from manufacturing pretty pedestrian stuff turned out to be really fundamental in the second wave. So I'm just wondering, is it possible to preempt that because you say, oh, well, the U.S. is just going to manufacture advanced things, and then you pick a few things, and you start manufacturing them. But if you're missing part of the production process, what if that was the real advancement? I guess that is what happened. CHRISTOPHER: Okay. So when I say that, I think about the example of my friend who spent, you know, again, we were a Ph.D. group at Stanford together. And whereas I went off to academia and did startups and so on, he stayed at Intel for like 32 years. He's one of the world's foremost experts in semiconductor process optimization. So that's another example where human expertise, even though semiconductor manufacturing is highly automated, you still need these experts to actually optimize these things. He's gone off to TSMC after three decades of being very happy at one place. So what I'm getting to is it is actually knowable what are the secret recipes, where the choke points are, what matters, and so on. And interestingly, it does reside in the human brain. But when I say manufacturing coming back to the U.S. and advanced manufacturing, we are picking and choosing. We're doing battery manufacturing. We're doing semiconductor, and we're not doing wave soldering. So I think it is possible to also see this trend that anybody who's done something and going through four or five iterations of that for a long time will become the world's expert at it. I think that is inevitable. You talk of construction, for example; interestingly, this company in Malaysia that is called Renong that is going throughout Southeast Asia; they are the construction company of the region because they've been doing it for so long. I think that is very, very predictable, but it does require the express investment in that direction. And that's something that Asia has done pretty well. TROND: Well, these are fascinating things. We're not going to solve them all on this podcast. But definitely, becoming an expert in something is important, whether you're an individual, or a company, or a country for sure. What that means keeps changing. So just stay alert, and stay in touch with both AI and humans and manufacturing to boot. It's a mix of those three, I guess. In our conversation, that's the secret to unlocking parts of the future. Thank you, Christopher, for enlightening us on these matters. I appreciate it. CHRISTOPHER: It's my pleasure. TROND: You have just listened to another episode of the Augmented Podcast with host Trond Arne Undheim. The topic was Human-First AI. Our guest was Christopher Nguyen, CEO, and Co-Founder of Aitomatic. In this conversation, we talked about the why and the how of human-first AI because it seems that digital AI is one thing, but physical AI is a whole other ballgame. My takeaway is that physical AI is much more interesting of a challenge than pure digital AI. Imagine making true improvements to the way workers accomplish their work, helping them be better, faster, and more accurate. This is the way technology is supposed to work, augmenting humans, not replacing them. In manufacturing, we need all the human workers we can find. As for what happens after the year 2100, I agree that we may have to model what that looks like. But AIs might be even more deeply embedded in the process, that's for sure. Thanks for listening. If you liked the show, subscribe at augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like Episode 80: The Augmenting Power of Operational Data, with Tulip's CTO, Rony Kubat as our guest. Hopefully, you'll find something awesome in these or in other episodes, and if so, do let us know by messaging us. We would love to share your thoughts with other listeners. The augmented podcast is created in association with Tulip, the frontline operation platform that connects the people, machines, devices, and systems used in a production and logistics process in a physical location. Tulip is democratizing technology and empowering those closest to operations to solve problems. Tulip is also hiring. You can find Tulip at tulip.co. Please share this show with colleagues who care about where industry and especially about how industrial tech is going. To find us on social media is easy; we are Augmented Pod on LinkedIn and Twitter and Augmented Podcast on Facebook and on YouTube. Augmented — industrial conversations that matter. See you next time. Special Guest: Christopher Nguyen.

Show Notes Christopher Nguyen CEO and Co-Founder of Aitomatic Hacker, Professor, Builder/Founder w/ successful exits, Leader, Knowledge-First ML Creator @h1st_ai, ex-GoogleApps, http://bit.ly/scholar-ctn   ‣ Strategic executive leadership [Google, Panasonic] ‣ CEO/CTO/VP Eng, successful startup+corp experience [Agenda-Asia, Arimo, Aitomatic] ‣ Hands-on software engineering management - built & led teams of '00s ‣ Machine Learning/AI, Extreme Internet-scale, highly available, low-latency service architectures ‣ Quantitative finance, applied statistics   We talk about          What's it like to successful start and exit several companies? What is a Knowledge-First App Engine? How do you train a cyber-security system against something that has not happened yet? What is open-source project Human-First AI. What are some of the top strategic technology trends you are seeing now and believe will be there in 2023 and 2024?     Connect with Christopher Nguyen https://www.linkedin.com/in/ctnguyen/ https://www.aitomatic.com/ ctn@alumni.stanford.org

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