POPULARITY
9 episodes with donotpay
7 episodes with donotpay
4 episodes with donotpay
3 episodes with donotpay
3 episodes with donotpay
4 episodes with donotpay
3 episodes with donotpay
2 episodes with donotpay
2 episodes with donotpay
How A.I. is collection money from spam callers. How to get rid of spam calls.Do Not Pay https://donotpay.comJosh's IG https://www.instagram.com/joshuabrowder12/?hl=enFollow me on all socials!Instagram: https://www.instagram.com/insidetruecrime/TikTok: https://www.tiktok.com/@mattcoxtruecrimeDo you want to be a guest? Fill out the form https://forms.gle/5H7FnhvMHKtUnq7k7Send me an email here: insidetruecrime@gmail.comDo you want a custom "con man" painting to shown up at your doorstep every month? Subscribe to my Patreon: https: //www.patreon.com/insidetruecrimeDo you want a custom painting done by me? Check out my Etsy Store: https://www.etsy.com/shop/coxpopartListen to my True Crime Podcasts anywhere: https://anchor.fm/mattcox Check out my true crime books! Shark in the Housing Pool: https://www.amazon.com/dp/B0851KBYCFBent: https://www.amazon.com/dp/B0BV4GC7TMIt's Insanity: https://www.amazon.com/dp/B08KFYXKK8Devil Exposed: https://www.amazon.com/dp/B08TH1WT5GDevil Exposed (The Abridgment): https://www.amazon.com/dp/1070682438The Program: https://www.amazon.com/dp/B0858W4G3KBailout: https://www.barnesandnoble.com/w/bailout-matthew-cox/1142275402Dude, Where's My Hand-Grenade?: https://www.amazon.com/dp/B0BXNFHBDF/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1678623676&sr=1-1Checkout my disturbingly twisted satiric novel!Stranger Danger: https://www.amazon.com/dp/B0BSWQP3WXIf you would like to support me directly, I accept donations here:Paypal: https://www.paypal.me/MattCox69Cashapp: $coxcon69
KI wird immer besser darin, mit Sprache umzugehen - und wird deshalb zunehmend relevanter für eine Welt, in der Sprache eine große Rolle spielt: die Welt des Rechts. Marie und Fritz fragen sich: Haben KI-Chatbots zukünftig - oder sogar schon jetzt - das Zeug zum Anwalt? Und wie könnte eine Welt aussehen, in der wir alle `jederzeit den Cyber-Advokat mit uns herumtragen? Über die Hosts Fritz Espenlaub ist freier Journalist und Ökonom. Er arbeitet unter anderem für den Bayerischen Rundfunk und das Tech-Magazin 1E9. Marie Kilg ist Chief AI Officer bei der Deutschen Welle. Zuvor war sie Produkt-Managerin bei Amazon Alexa. In dieser Folge 00:00 Intro 02:28 Legal Tech - von DoNotPay zum Robo-Anwalt 13:29 Wo sind die Grenzen? 20:32 Robo-Anwälte gegen Robo-Richter? 30:03 Was haben wir mit KI gemacht? Links Legal Tech "DoNotPay" https://donotpay.com/ ChatGPT halluziniert Präzedenzfälle vor Gericht: https://www.reuters.com/legal/new-york-lawyers-sanctioned-using-fake-chatgpt-cases-legal-brief-2023-06-22/ Die Versprechen von OpenAI: https://x.com/tsarnick/status/1847746829490016578 https://x.com/tsarnick/status/1850993040456135024 Hat KI wirklich das juristische Examen in den USA bestanden? https://link.springer.com/article/10.1007/s10506-024-09396-9?s=09 Noxtua: https://xayn.com/noxtua-legal-copilot "Robo-Richterin" Frauke https://aric-hamburg.de/allgemein/roboterrichter/ KI-Metamensch "Cai Uwe": https://convai.cc/ https://www.twitch.tv/cai_uwe Leseapp Readwise https://readwise.io/ Notizapp Obsidian https://obsidian.md/ Smart Connections Plugin https://github.com/brianpetro/obsidian-smart-connections Readwise Plugin https://github.com/readwiseio/obsidian-readwise Local GPT Plugin https://github.com/pfrankov/obsidian-local-gpt Unser Tipp diese Woche: Der True-Crime-Podcast "Sprechen wir über Mord?!" ARD Terrorismusexperte Holger Schmidt spricht mit dem ehemaligen Bundesrichter Thomas Fischer, einem der profiliertesten Kenner der deutschen Justiz, über wahre Verbrechen. https://1.ard.de/sprechen_wir_ueber_mord_cp Redaktion und Mitarbeit: David Beck, Elisa Harlan, Cristina Cletiu, Chris Eckardt, Fritz Espenlaub, Marie Kilg, Mark Kleber, Gudrun Riedl, Christian Schiffer, Gregor Schmalzried Kontakt: Wir freuen uns über Fragen und Kommentare an podcast@br.de. Unterstützt uns: Wenn euch dieser Podcast gefällt, freuen wir uns über eine Bewertung auf eurer liebsten Podcast-Plattform. Abonniert den KI-Podcast in der ARD Audiothek oder wo immer ihr eure Podcasts hört, um keine Episode zu verpassen. Und empfehlt uns gerne weiter!
Much has already been said and written about the FTC's recent enforcement initiative, dubbed “Operation AI Comply.” The coordinated sweep announced last month involved five separate FTC enforcement actions against companies using or claiming to use AI tools to enhance consumer goods and services. For example, as part of the sweep, the FTC targeted a company called DoNotPay that claimed its “AI Lawyer” services could substitute for a human lawyer and “replace the $200-billion-dollar legal industry with artificial intelligence” – claims that we, as KDW attorneys, were glad to see were found not to be substantiated. The sweep also involved enforcement actions against three business opportunity providers that claimed their AI tools could help customers generate passive income via online storefronts. https://www.kelleydrye.com/viewpoints/blogs/ad-law-access/amidst-ai-crackdown-hype-ftc-stakes-out-aggressive-new-position-on-unfairness-and-means-and-instrumentalities-liability Donnelly McDowell dmcdowell@kelleydrye.com (202) 342-8645 www.kelleydrye.com/people/donnelly-l-mcdowell Kate White kwhite@kelleydrye.com (202) 342-8855 https://www.kelleydrye.com/people/katherine-white Ioana Gorecki igorecki@kelleydrye.com (202) 342-8417 www.kelleydrye.com/people/ioana-gorecki Leah Plagge Rabkin lrabkin@kelleydrye.com (202) 342-8523 https://www.kelleydrye.com/people/leah-plagge-rabkin Hosted by Simone Roach Subscribe to the Ad Law Access blog - www.kelleydrye.com/subscribe Subscribe to the Ad Law News Newsletter - www.kelleydrye.com/subscribe View the Advertising and Privacy Law Resource Center - www.kelleydrye.com/advertising-and-privacy-law Find all of our links here linktr.ee/KelleyDryeAdLaw
CA AI Bill Veto, Meta's Orion, FTC Vs. Fake Reviews Sam Altman's AI Manifesto News from Meta Connect Gavin Newsom vetoes sweeping AI safety bill, siding with Silicon Valley The Panel discusses CoPilot The Panel debates AGI James Cameron Joins Board of Stability AI in Coup for Tech Firm SAG-AFTRA Calls Strike Against 'League of Legends' Rabbit says only 5,000 people use the R1 daily Orion: True AR Glasses Have Arrived AI smackdown: How a new FTC ruling just protected the free press DoNotPay has to pay $193K for falsely touting untested AI lawyer, FTC says Firefox Review Checker - Ensure review authenticity in your online shopping New California law requires one-click subscription cancellations The DOJ sues Visa for locking out rival payment platforms NIST proposes barring some of the most nonsensical password rules Some Mad Genius Put ChatGPT on a TI-84 Graphing Calculator 23andMe troubles, company recently settled data insecurity suit for $30 mil Host: Leo Laporte Guests: Denise Howell, Parmy Olson, Daniel Rubino, and Henry Laporte Download or subscribe to this show at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: lookout.com 1password.com/twit shopify.com/twit veeam.com flashpoint.io
CA AI Bill Veto, Meta's Orion, FTC Vs. Fake Reviews Sam Altman's AI Manifesto News from Meta Connect Gavin Newsom vetoes sweeping AI safety bill, siding with Silicon Valley The Panel discusses CoPilot The Panel debates AGI James Cameron Joins Board of Stability AI in Coup for Tech Firm SAG-AFTRA Calls Strike Against 'League of Legends' Rabbit says only 5,000 people use the R1 daily Orion: True AR Glasses Have Arrived AI smackdown: How a new FTC ruling just protected the free press DoNotPay has to pay $193K for falsely touting untested AI lawyer, FTC says Firefox Review Checker - Ensure review authenticity in your online shopping New California law requires one-click subscription cancellations The DOJ sues Visa for locking out rival payment platforms NIST proposes barring some of the most nonsensical password rules Some Mad Genius Put ChatGPT on a TI-84 Graphing Calculator 23andMe troubles, company recently settled data insecurity suit for $30 mil Host: Leo Laporte Guests: Denise Howell, Parmy Olson, Daniel Rubino, and Henry Laporte Download or subscribe to this show at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: lookout.com 1password.com/twit shopify.com/twit veeam.com flashpoint.io
CA AI Bill Veto, Meta's Orion, FTC Vs. Fake Reviews Sam Altman's AI Manifesto News from Meta Connect Gavin Newsom vetoes sweeping AI safety bill, siding with Silicon Valley The Panel discusses CoPilot The Panel debates AGI James Cameron Joins Board of Stability AI in Coup for Tech Firm SAG-AFTRA Calls Strike Against 'League of Legends' Rabbit says only 5,000 people use the R1 daily Orion: True AR Glasses Have Arrived AI smackdown: How a new FTC ruling just protected the free press DoNotPay has to pay $193K for falsely touting untested AI lawyer, FTC says Firefox Review Checker - Ensure review authenticity in your online shopping New California law requires one-click subscription cancellations The DOJ sues Visa for locking out rival payment platforms NIST proposes barring some of the most nonsensical password rules Some Mad Genius Put ChatGPT on a TI-84 Graphing Calculator 23andMe troubles, company recently settled data insecurity suit for $30 mil Host: Leo Laporte Guests: Denise Howell, Parmy Olson, Daniel Rubino, and Henry Laporte Download or subscribe to this show at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: lookout.com 1password.com/twit shopify.com/twit veeam.com flashpoint.io
CA AI Bill Veto, Meta's Orion, FTC Vs. Fake Reviews Sam Altman's AI Manifesto News from Meta Connect Gavin Newsom vetoes sweeping AI safety bill, siding with Silicon Valley The Panel discusses CoPilot The Panel debates AGI James Cameron Joins Board of Stability AI in Coup for Tech Firm SAG-AFTRA Calls Strike Against 'League of Legends' Rabbit says only 5,000 people use the R1 daily Orion: True AR Glasses Have Arrived AI smackdown: How a new FTC ruling just protected the free press DoNotPay has to pay $193K for falsely touting untested AI lawyer, FTC says Firefox Review Checker - Ensure review authenticity in your online shopping New California law requires one-click subscription cancellations The DOJ sues Visa for locking out rival payment platforms NIST proposes barring some of the most nonsensical password rules Some Mad Genius Put ChatGPT on a TI-84 Graphing Calculator 23andMe troubles, company recently settled data insecurity suit for $30 mil Host: Leo Laporte Guests: Denise Howell, Parmy Olson, Daniel Rubino, and Henry Laporte Download or subscribe to this show at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: lookout.com 1password.com/twit shopify.com/twit veeam.com flashpoint.io
CA AI Bill Veto, Meta's Orion, FTC Vs. Fake Reviews Sam Altman's AI Manifesto News from Meta Connect Gavin Newsom vetoes sweeping AI safety bill, siding with Silicon Valley The Panel discusses CoPilot The Panel debates AGI James Cameron Joins Board of Stability AI in Coup for Tech Firm SAG-AFTRA Calls Strike Against 'League of Legends' Rabbit says only 5,000 people use the R1 daily Orion: True AR Glasses Have Arrived AI smackdown: How a new FTC ruling just protected the free press DoNotPay has to pay $193K for falsely touting untested AI lawyer, FTC says Firefox Review Checker - Ensure review authenticity in your online shopping New California law requires one-click subscription cancellations The DOJ sues Visa for locking out rival payment platforms NIST proposes barring some of the most nonsensical password rules Some Mad Genius Put ChatGPT on a TI-84 Graphing Calculator 23andMe troubles, company recently settled data insecurity suit for $30 mil Host: Leo Laporte Guests: Denise Howell, Parmy Olson, Daniel Rubino, and Henry Laporte Download or subscribe to this show at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: lookout.com 1password.com/twit shopify.com/twit veeam.com flashpoint.io
Each week, the leading journalists in legal tech choose their top stories of the week to discuss with our other panelists. This week's topics: Wolters Kluwer Brings Gen AI To Its VitalLaw Legal Research Platform, to Answer Questions and More FTC Fines DoNotPay $193,000, Alleging False Claims Over 'Robot Lawyer' Service Rocket lawyer obtains non lawyer ownership approval in Arizona but will it make a difference?
CA AI Bill Veto, Meta's Orion, FTC Vs. Fake Reviews Sam Altman's AI Manifesto News from Meta Connect Gavin Newsom vetoes sweeping AI safety bill, siding with Silicon Valley The Panel discusses CoPilot The Panel debates AGI James Cameron Joins Board of Stability AI in Coup for Tech Firm SAG-AFTRA Calls Strike Against 'League of Legends' Rabbit says only 5,000 people use the R1 daily Orion: True AR Glasses Have Arrived AI smackdown: How a new FTC ruling just protected the free press DoNotPay has to pay $193K for falsely touting untested AI lawyer, FTC says Firefox Review Checker - Ensure review authenticity in your online shopping New California law requires one-click subscription cancellations The DOJ sues Visa for locking out rival payment platforms NIST proposes barring some of the most nonsensical password rules Some Mad Genius Put ChatGPT on a TI-84 Graphing Calculator 23andMe troubles, company recently settled data insecurity suit for $30 mil Host: Leo Laporte Guests: Denise Howell, Parmy Olson, Daniel Rubino, and Henry Laporte Download or subscribe to this show at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: lookout.com 1password.com/twit shopify.com/twit veeam.com flashpoint.io
Meta held its Connect conference this week and showed off some chonky augmented reality glasses, among other things. Plus, OpenAI shakes things up and DoNotPay agrees to, well, Pay. See omnystudio.com/listener for privacy information.
OpenAI plans to switch to a for-profit mode, California's 'click to cancel' subscription bill is signed into law, and DoNotPay 'robot lawyer' was fined by the FTC for not being a lawyer. It's Thursday, September 26th and this is Engadget News. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Quick Notes:Duolingo Keyboardhttps://www.ohmtown.com/groups/mobble/f/d/duolingos-physical-keyboard-will-now-annoy-you-to-practice-your-scales-as-much-as-your-french/Ancient Egyptian Mummies and Techhttps://www.ohmtown.com/groups/nonsequiturnews/f/d/8-ways-new-technology-changed-the-way-we-think-about-ancient-egyptian-mummies/A 34 Mile Long Tunnelhttps://www.ohmtown.com/groups/four-wheel-tech/f/d/34-mile-long-tunnel-project-could-add-even-more-lanes-to-widest-highway-in-north-america/Trains Continuedhttps://www.ohmtown.com/groups/mobble/f/d/chemical-leak-from-ohio-railcar-spurs-evacuations/Outer Banks Continue to Collapsehttps://www.ohmtown.com/groups/mobble/f/d/3rd-outer-banks-home-collapses-into-ocean-in-a-week/Vertical Farminghttps://www.ohmtown.com/groups/mobble/f/d/vertical-farm-makes-a-mini-skyscraper-out-of-strawberries/Click to Cancel California Editionhttps://www.ohmtown.com/groups/technologytoday/f/d/californias-click-to-cancel-subscription-bill-is-signed-into-law/Donotpay has to Payhttps://www.ohmtown.com/groups/thewordinlaw/f/d/donotpay-has-to-pay-193k-for-falsely-touting-untested-ai-lawyer-ftc-says/Thanks for the Application, now go.https://www.ohmtown.com/groups/warcrafters/f/d/the-developer-of-new-free-to-play-shooter-spectre-divide-just-laid-off-13-employees-says-it-was-necessary-to-support-spectre-and-its-community-for-the-long-term/The ZuckBothttps://www.ohmtown.com/groups/late-nite-geeks/f/d/zuckerberg-chats-with-ai-clone-as-human-creator-looks-on-in-years-weirdest-demo/
Joshua Browder, CEO and Founder of DoNotPay.com, thinks one of the biggest ways AI will change marketing is in its power to help consumers advocate for themselves. While companies are finding all kinds of efficiencies and competitive advantages for themselves with AI, there's also a huge opportunity for individual consumers. What started as an attempt to fight his own parking tickets has now grown into a major business: using AI agents to help people with everything from canceling subscriptions to getting refunds. He talks through how his technology works - and what businesses need to know. For Further Reading:Joshua Browder LinkedInAge 27, Built a $230M AI Lawyer Business'Multimodal is the most unappreciated AI breakthrough' says DoNotPay CEO Joshua BrowderWould you let a robot lawyer defend you? Listen on your favorite podcast app: https://pod.link/1715735755
As CEO of the AI start-up DoNotPay, Joshua Browder is one of Silicon Valley's rising young entrepreneurs. Born in the UK and educated at Stanford, Browder is from a remarkable family of American innovators and activists. His great grandfather, Earl Browder, was head of the US Communist Party. His grandfather, Felix Browder, was one of America's most brilliant mathematicians. And his father, Bill Browder, is an American investor, activist and high profile critic of Vladimir Putin. Given this unique lineage, I began my conversation with Josh Browder by asking him what being American meant to him.Joshua Browder is the CEO and Founder of DoNotPay.com, the world's first robot lawyer. DoNotPay has automated over 200 consumer rights processes for consumers, including cancelling subscriptions, lowering bills and obtaining refunds, among many others. To date, the company has won over 2m cases for its customers. Browder has been named as one of the “35 Innovators Under 35” by MIT Technology Review and one of the top legal innovators in America by the Financial Times. Before starting DoNotPay, Browder studied Computer Science at Stanford, dropping out after 3 and a half years to take the Thiel Fellowship. He has since invested in over 150 companies, including Figma, Mercury, Owner.com, Riverside and Jeeves. He focuses his investing on first time entrepreneurs, such as college and high school dropouts.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.Keen On is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe
Joshua is the Founder & CEO of DoNotPay. He is a Thiel Fellow who has been called "Robin Hood of the Internet" for building products to save people time and money. DoNotPay is an automated service that handles over 200 consumer rights challenges such as cancelling subscriptions, obtaining refunds, and appealing tickets. Follow Joshua on X @jbrowder1. [0:16] - How Joshua turned his penchant for parking tickets into a successful business [6:31] - Joshua's early experiences building iPhone apps [9:11] - Why Joshua took a careful and patient approach to starting DoNotPay while at Stanford [14:11] - Why Joshua waited so long to start charging for DoNotPay [15:51] - Alternative business models for DoNotPay [19:32] - Joshua's approach to building a lean, efficient team [24:25] - Operating as a global, in-person, nomadic organization [26:45] - How the advent GPT has transformed DoNotPay's services [35:20] - Joshua's perspective on the current and future states of AI [39:16] - Why Do Not Pay issues dividends to its employees and investors [43:16] - Joshua's approach for growing DoNotPay from here [45:43] - Technology's fast pace of change versus society's slow pace of change [48:47] - Wisdom gained from The Thiel Fellowship Mint this episode for free onchain on Base at pods.media/pod-of-jake/177-joshua-browder For more episodes, go to podofjake.com. Previous guests include Mark Cuban, Vitalik Buterin, Brian Armstrong, Balaji Srinivasan, Keith Rabois, Ali Spagnola, Anthony Pompliano, Raoul Pal, Julia Galef, Jack Butcher, Tim Draper, and over 100 others alike. Learn from founders and CEOs of companies like OpenAI, Coinbase, Solana, Polygon, AngelList, Oura, and Replit, and investors from Founders Fund, a16z, Union Square Ventures, and many more. I appreciate your support and hope you enjoy. Thanks to Chase Devens for the show notes and Yiction for the music. Lastly, I love hearing from fans of the pod. Feel free to email me any time at jake@blogofjake.com. Thank you!
Each week, the leading journalists in legal tech choose their top stories of the week to discuss with our other panelists. This week's topics: 00:00 - Introductions 02:00 - Robot lawyer' DoNotPay reaches settlement in suit alleging it's neither robot nor lawyer (Selected by Victor Li) 13:12 - The Hype Behind Harvey: How the Stealthy Startup Is Raising Industry Eyebrows (Selected by Isha Marathe) 32:25 - AAA Launches ClauseBuilder AI to Simplify Drafting of Arbitration and Mediation Agreement (Selected by Stephanie Wilkins) 37:45 - Thought experiments on AI's impact on Law Firm Structure (Selected by Joe Patrice) 48:50 - Elon Musk Drops OpenAI Lawsuit Right Before Forcing Lawyers To Make Bad Arguments In Court (Selected by Joe Patrice)
The Sunday Times' tech correspondent Danny Fortson brings on DoNotPay's Josh Browder to talk about how artificial intelligence is changing his business (4:20), paying a $1m dividend (8:15), blowing up the myth that you have to lose money to get big (11:00), the coming AI crash (13:00), the path forward for DoNotPay (16:40), San Francisco's moment (19:30), his biggest mistake (21:30), protecting AI's (24:00), and ambient intelligence (27:40). Hosted on Acast. See acast.com/privacy for more information.
Rich explains the antitrust case against Apple.Tammi asks why Meta's Messenger is asking her to set up a 6-digit PIN.Rich attends the CSUN Assistive Technology Conference to learn about assistive technologies for the disability community. InnoCaption. Caption Call. Vibio. PlayStation Access Controller. Monarch. OKO App.Diana in Torrance wants remote desktop software to access her MacBook Pro remotely. Rich says to check out TeamViewer for free or GoToMyPC for paid. RustDesk is an open-source alternative.Bruce in Los Angeles is looking for a USB drive that's over 5 TB. Rich believes this is above most consumer drives, but some expensive professional drives might offer this.Sara in Ventura says Google Play isn't working. Rich says to restart your phone, then force close the app and if that doesn't work you can clear the data and cache for Google Play.Frank in Ontario is trying to connect his MacBook to multiple screens. This guide will help you find the right combination of connection port, display, and cables.YouTube has new rules for disclosing AI in videos.David in Los Angeles is having issues with Apple Maps getting directions when he doesn't have a good connection. Rich recommends downloading the offline maps for his area. You can do the same on Google Maps by searching “ok maps.”Jason Rhodes, a senior research scientist at NASA's Jet Propulsion Laboratory, will explain what you need to know about the Total Solar Eclipse happening on April 8, 2024. Mentioned: The Planetary Society. Don't forget to get your eclipse glasses!Seraphine in Studio City can't hear her laptop computer speakers very well. Rich recommends a pair of external plug-in speakers or an app called Boom 2.Did you know you can hum, sing, or talk lyrics into Google, and it will tell you what the song is?Andrew in Ventura asks why it's hard to find iTunes purchase history. Rich says to go to reportaproblem.apple.com or create an email search filter for from:(no_reply@email.apple.com)Rich mentioned lesser-known travel sites that can help you with your next trip.Gary wants to know the best way to dispose of an old laptop. Rich mentioned Laptop Elf Project in the LA area, Staples and Best Buy, and mail-in recycling boxes and Gizmogo.Ethical hackers have figured out a way to unlock millions of hotel rooms.TripIt Pro adds Risk Alerts to help travelers anticipate unique disruptions, such as technology outages, political unrest, and labor actions.One of the most popular retro tech products is the point-and-shoot camera, Nikon Coolpix.Guests:Joshua Browder, CEO of DoNotPay, which builds products to save people time and money.64 - March 23, 2024Rich DeMuro talks about tech news, tips, and gadget reviews and conducts interviews in this weekly show.Airs 11 AM - 2 PM PT on KFI AM 640 and syndicated on 350+ stations nationwide.Stream live on the iHeartRadio App or subscribe to the podcast.Follow Rich on X, Instagram and Facebook.Call 1-888-RICH-101 (1-888-742-4101) to join in!Links may be affiliate.RichOnTech.tvRichOnTech.tv/wikiSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Today's episode offers a different perspective on the DoNotPay controversy – and ended up having an unexpected twist. Earlier this year, DoNotPay, which described itself as the world's first robot lawyer, and its founder Joshua Browder became the subject of harsh criticism after paralegal Kathryn Tewson tested several of DoNotPay's self-help legal apps and concluded they were little more than smoke and mirrors – in some cases getting the law wrong, in others failing even to deliver the promised output. In the wake of Tewson's allegations, this podcast recorded an exclusive interview with Browder, in which he called the criticism “a bit of a nothingburger.” I followed that Interview with one with Tewson, in which she described in detail how she tested the DoNotPay products and responded to Browder's dismissal of her critique. Following those events, our guests today, Maya Markovich, executive director and cofounder of the Justice Technology Association and executive in residence for Justice Tech at Village Capital, and Tom Gordon, executive director of Responsive Law, an organization that represents the consumers' voice in the legal system, co-authored an op-ed in which they argued that reforms in the regulation of the practice of law, such as those implemented in Utah, could have prevented the DoNotPay debacle, since DoNotPay would have had to have been licensed and regulated. They submitted their op-ed to the American Bar Association's Center for Innovation, which agreed to publish it in the Center's biannual innovation trends report, slated to be released Aug. 1. In anticipation of that publication, LawNext host Bob Ambrogi recorded the interview you're about to hear with Markovich and Gordon, in which they discussed their op-ed and their views more broadly on regulatory reform. The interview was scheduled to post Aug. 1, in conjunction with the op-ed's publication that day. But then the plan hit an unexpected twist. Instead of publishing the op-ed that day, the Center notified the authors that it had canceled the publication because of what it described as “political challenges” within the ABA, but that it had neglected to inform them of that. Because this interview was recorded before the ABA canceled the op-ed, you will hear references to the ABA's publication of the op-ed. But since that never happened, Markovich and Gordon allowed us to publish the op-ed on LawNext. Ambrogi has also written a blog post detailing the whole sordid story. Show links: Opinion: DoNotPay Controversy Illuminates Urgent Need for Regulatory Reform. Citing ‘Political Challenges,' ABA Innovation Center Cancels Op-Ed Advocating Regulatory Reform; In An Exclusive, We Have the Piece They Wouldn't Publish. Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. Nota, the online business banking platform designed specifically for solo and small law firms. Paradigm, home to the practice management platforms PracticePanther, Bill4Time, MerusCase and LollyLaw; the e-payments platform Headnote; and the legal accounting software TrustBooks. Universal Migrator, the easiest way to move your firm's data and documents from one app to another. Overture.Law, The first attorney-to-attorney referral platform that lets you easily generate referral fees for clients you can't serve. If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.
Questions the moderator will ask the speaker: -With the audience of this podcast being attorneys and other legal professionals, we have to start with the obvious question, do you see AI taking their jobs? -How do you see AI's role in the legal industry evolving in the future? -When you think of data privacy, security, governance, and compliance, what do you think of related to risk associated to leveraging AI in the practice of law? Both as a tool for legal professionals and for laymen that might use a tool like DoNotPay. -In your experience, how have you seen AI change and develop over the past years to address different challenges and needs in the legal industry? -What advice would you give legal professionals when it comes to AI in their role? Moderator: @Joshua Moore - Lead Solutions Expert, NetDocuments Speaker: @Zachary Warren - Manager, Enterprise Content - Technology and Innovation, Thompson Reuters Institute Recorded on 07-25-2023
In this episode, Nathan sits down with Joshua Browder of DoNotPay, the world's first robot lawyer. They chat about the current state of AI use in law, what policymakers should consider in regulating AI, and the ethics of robo-lawyers for consumer use. RECOMMENDED PODCAST: The HR industry is at a crossroads. What will it take to construct the next generation of incredible businesses – and where can people leaders have the most business impact? Hosts Nolan Church and Kelli Dragovich have been through it all, the highs and the lows – IPOs, layoffs, executive turnover, board meetings, culture changes, and more. With a lineup of industry vets and experts, Nolan and Kelli break down the nitty-gritty details, trade offs, and dynamics of constructing high performing companies. Through unfiltered conversations that can only happen between seasoned practitioners, Kelli and Nolan dive deep into the kind of leadership-level strategy that often happens behind closed doors. Check out the first episode with the architect of Netflix's culture deck Patty McCord. https://link.chtbl.com/hrheretics TIMESTAMPS: (00:00) Episode Preview (03:22) Joshua Browder and the story of DoNotPay (04:50) The value incurred through an AI lawyer (07:17) What are the legal and financial injustices that motivates Joshua's work? (12:46) How does the AI negotiate with a Comcast chat agent? (16:28) Consumer security (17:12) Sponsor: Omneky (21:08) The ethics of DoNotPay (22:27) Should AI need to disclose that it's AI? (24:47) How much human intervention is necessary in AI tooling? (27:15) Where does the burden of proof lie for AI regulation and ethics? (31:47) Advice to policymakers (35:45) AI Liability (38:05) AI Arms Race (43:46) Productive bot interactions (45:00) AI-powered arbitration (49:28) How the consumer experience might change two years from now (51:45) AI Superapps (55:25) Moats in AI (57:11) How much money does DoNotPay save people today? (59:30) Consumer and enterprise timelines given AI (01:06:30) What will AI replace? (01:09:34) Impact of AI in different industries (01:11:10) The legal field's view of AI (01:15:50) Deflationary factors in running DoNotPay (01:25:00) What are non-obvious ways to save money? (01:27:55) Joshua's favorite AI tools (01:28:17) Would Joshua get a Neuralink implant? LINKS: https://donotpay.com/ TWITTER: @jbrowder1 (Joshua) @DoNotPay (DoNotPay) @CogRev_Podcast @labenz (Nathan) @eriktorenberg (Erik) SPONSOR: Thank you Omneky for sponsoring The Cognitive Revolution. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work, customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off. NEWSLETTER: More show notes and reading material released in our Substack: https://cognitiverevolution.substack.com
In this episode, we dive deep into how AI can act on your behalf as Joshua Browder, the CEO of DoNotPay, joins the show. We discuss how DoNotPay has grown from getting you out of parking tickets to offer a range of AI-driven services, from managing free trials and refunds to suing illegal robocallers. Joshua shares his thoughts on AI ethics, addressing the responsibility for AI mistakes and the challenge of eliminating bias. Don't miss this insightful episode packed with intriguing stories and perspectives on AI's growing impact on our lives! DoNotPay - The Robot Lawyer: https://donotpay.com Andru Edwards on YouTube: https://youtube.com/@Andru Jon Rettinger on YouTube: https://www.youtube.com/user/jon4lakers Circuit Breaker: My Weekly Tech Newsletter Support the show: http://youtube.com/gearlive/joinSee omnystudio.com/listener for privacy information.
In a crowded and distracted world, it can be hard to break through with customers, the media, recruiting and investors. Capturing the zeitgeist is more important than ever in making you stand out. In this session Josh will share his story building DoNotPay and how building a movement has given his company an advantage and the non-traditional lessons that he has learned. Video: https://youtu.be/kORBMIxRLs4 Want to join the SaaStr community? We're the
After Jesse regales Katie with his famous Boston Bit (tm) and Katie catches Jesse up on every single thing that has happened on Twitter since he left, the two discuss the case of DoNotPay and Joshua Browder. Are we on the brink of robot lawyers effortlessly guiding underprivileged clients through difficult legal proceedings? Or is, like, literally none of that going to happen?Show notes/LinksAnti-Italian hate crimehttps://www.washingtonpost.com/food/2023/03/23/tiktok-pasta-blender-reaction/Beware The Hard R: “Chatbot lawyer overturns 160,000 parking tickets in London and New York” https://www.theguardian.com/technology/2016/jun/28/chatbot-ai-lawyer-donotpay-parking-tickets-london-new-yorkBrowder
‘Rust' Prosecutors Downgrade Alec Baldwin's Manslaughter Charges, What to know about the Ohio train derailment in East Palestine, & DoNotPay's AI lawyer stunt cancelled after multiple state bar associations object.The Litigation Nation Podcast, hosted by Jack Sanker & Luke Behnke, is a roundup of the most important and interesting legal developments happening right now. Subscribe wherever you listen to podcasts, and start getting updates on the legal news you need to know about.
What happens when you don't have the resources to fight for your rights? Whether it's a major medical bill or a more minor parking ticket… even if you were in the right, is it easier to just… pay?Well, Joshua Browder's answer is Do Not Pay! He's built a thriving company of the same name, that helps consumers “fight corporations, beat bureaucracy, and sue anyone at the press of a button.” Through the power of technology, DoNotPay has resolved over 2m cases successfully and in this interview we get to hear where Browder hopes to take the organization, including his first-hand account of his recent plan to bring the robot lawyer into the physical courtroom. Topics Covered:00:00 - Introduction01:51 - DoNotPay's origin03:09 - Surprising laws05:49 - General counsel for consumers06:54 - The role of AI and technology09:26 - Ensuring quality counsel13:19 - Prioritizing features14:43 - Corporate pushback17:11 - Reshaping the legal system20:28 - Entering the physical courtroom 24:50 - Cross border possibilities26:14 - Looping humans into modeling29:01 - Deflationary impacts30:05 - Recent pushback33:13 - Is AI already writing law?35:15 - Why is law so complex?37:54 - Entering the Supreme Court38:38 - Lawyer support39:47 - Looking forward43:07 - Building horizontal vs vertical45:28 - Does this law exist? Resources: DoNotPay: https://donotpay.com/Find Josh on Twitter: https://twitter.com/jbrowder1 Stay Updated: Find a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://twitter.com/stephsmithioPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. For more details please see a16z.com/disclosures.
We're so glad to launch our first podcast episode with Logan Kilpatrick! This also happens to be his first public interview since joining OpenAI as their first Developer Advocate. Thanks Logan!Recorded in-person at the beautiful StudioPod studios in San Francisco. Full transcript is below the fold.Timestamps* 00:29: Logan's path to OpenAI* 07:06: On ChatGPT and GPT3 API* 16:16: On Prompt Engineering* 20:30: Usecases and LLM-Native Products* 25:38: Risks and benefits of building on OpenAI* 35:22: OpenAI Codex* 42:40: Apple's Neural Engine* 44:21: Lightning RoundShow notes* Sam Altman's interview with Connie Loizos* OpenAI Cookbook* OpenAI's new Embedding Model* Cohere on Word and Sentence Embeddings* (referenced) What is AGI-hard?Lightning Rounds* Favorite AI Product: https://www.synthesia.io/* Favorite AI Community: MLOps * One year prediction: Personalized AI, https://civitai.com/* Takeaway: AI Revolution is here!Transcript[00:00:00] Alessio Fanelli: Hey everyone. Welcome to the Latent Space podcast. This is Alessio, partner and CTO in residence at Decibel Partners. I'm joined by my cohost, swyx writer editor of L Space Diaries. Hey.[00:00:20] swyx: Hey . Our guest today is Logan Kilpatrick. What I'm gonna try to do is I'm gonna try to introduce you based on what people know about you, and then you can fill in the blanks.[00:00:28] Introducing Logan[00:00:28] swyx: So you are the first. Developer advocate at OpenAI, which is a humongous achievement. Congrats. You're also the lead developer community advocate of the Julia language. I'm interested in a little bit of that and apparently as I've did a bit of research on you, you got into Julia through NASA where you interned and worked on stuff that's gonna land on the moon apparently.[00:00:50] And you are also working on computer vision at Apple. And had to sit at path, the eye as you fell down the machine learning rabbit hole. What should people know about you that's kind of not on your LinkedIn that like sort of ties together your interest[00:01:02] Logan Kilpatrick: in story? It's a good question. I think so one of the things that is on my LinkedIn that wasn't mentioned that's super near and dear to my heart and what I spend a lot of time in sort of wraps a lot of my open source machine learning developer advocacy experience together is supporting NumFOCUS.[00:01:17] And NumFOCUS is the nonprofit that helps enable a bunch of the open source scientific projects like Julia, Jupyter, Pandas, NumPy, all of those open source projects are. Facilitated legal and fiscally through NumFOCUS. So it's a very critical, important part of the ecosystem and something that I, I spend a bunch of my now more limited free time helping support.[00:01:37] So yeah, something that's, It's on my LinkedIn, but it's, it's something that's important to me. Well,[00:01:42] swyx: it's not as well known of a name, so maybe people kind of skip over it cuz they were like, I don't know what[00:01:45] Logan Kilpatrick: to do with this. Yeah. It's super interesting to see that too. Just one point of context for that is we tried at one point to get a Wikipedia page for non focus and it's, it's providing, again, the infrastructure for, it's like a hundred plus open source scientific projects and they're like, it's not notable enough.[00:01:59] I'm like, well, you know, there's something like 30 plus million developers around the world who use all these open source tools. It's like the foundation. All open source like science that happens. Every breakthrough in science is they discovered the black hole, the first picture of the black hole, all that stuff using numb focus tools, the Mars Rovers, NumFOCUS tools, and it's interesting to see like the disconnect between the nonprofit that supports those projects and the actual success of the projects themselves.[00:02:26] swyx: Well, we'll, we'll get a bunch of people focused on NumFOCUS and we'll get it on Wikipedia. That that is our goal. . That is the goal. , that is our shot. Is this something that you do often, which is you? You seem to always do a lot of community stuff. When you get into something, you're also, I don't know where this, where you find time for this.[00:02:42] You're also a conference chair for DjangoCon, which was last year as well. Do you fall down the rabbit hole of a language and then you look for community opportunities? Is that how you get into.[00:02:51] Logan Kilpatrick: Yeah, so the context for Django stuff was I'd actually been teaching and still am through Harvard's division of continuing education as a teaching fellow for a Django class, and had spent like two and a half years actually teaching students every semester, had a program in Django and realized that like it was kind of the one ecosystem or technical tool that I was using regularly that I wasn't actually contributing to that community.[00:03:13] So, I think sometime in 2021 like applied to be on the board of directors of the Django Events Foundation, north America, who helps run DjangoCon and was fortunate enough to join a support to be the chair of DjangoCon us and then just actually rolled off the board because of all the, all the craziness and have a lot less free time now.[00:03:32] And actually at PATH ai. Sort of core product was also using, was using Django, so it also had a lot of connections to work, so it was a little bit easier to justify that time versus now open ai. We're not doing any Django stuff unfortunately, so, or[00:03:44] swyx: Julia, I mean, should we talk about this? Like, are you defecting from Julia?[00:03:48] What's going on? ,[00:03:50] Logan Kilpatrick: it's actually felt a little bit strange recently because I, for the longest time, and, and happy to talk about this in the context of Apple as well, the Julie ecosystem was my outlet to do a lot of the developer advocacy, developer relations community work that I wanted to do. because again, at Apple I was just like training machine learning models.[00:04:07] Before that, doing software engineering at Apple, and even at Path ai, we didn't really have a developer product, so it wasn't, I was doing like advocacy work, but it wasn't like developer relations in the traditional sense. So now that I'm so deeply doing developer relations work at Open OpenAI, it's really difficult to.[00:04:26] Continue to have the energy after I just spent nine hours doing developer relations stuff to like go and after work do a bunch more developer relations stuff. So I'll be interested to see for myself like how I'm able to continue to do that work and I. The challenge is that it's, it's such critical, important work to happen.[00:04:43] Like I think the Julie ecosystem is so important. I think the language is super important. It's gonna continue to grow in, in popularity, and it's helping scientists and engineers solve problems they wouldn't otherwise be able to. So it's, yeah, the burden is on me to continue to do that work, even though I don't have a lot of time now.[00:04:58] And I[00:04:58] Alessio Fanelli: think when it comes to communities, the machine learning technical community, I think in the last six to nine months has exploded. You know, you're the first developer advocate at open ai, so I don't think anybody has a frame of reference on what that means. What is that? ? So , what do you, how did, how the[00:05:13] swyx: job, yeah.[00:05:13] How do you define the job? Yeah, let's talk about that. Your role.[00:05:16] Logan Kilpatrick: Yeah, it's a good question and I think there's a lot of those questions that actually still exist at OpenAI today. Like I think a lot of traditional developed by advocacy, at least like what you see on Twitter, which I think is what a lot of people's perception of developer advocacy and developer relations is, is like, Just putting out external content, going to events, speaking at conferences.[00:05:35] And I think OpenAI is very unique in the sense that, at least at the present moment, we have so much inbound interest that there's, there is no desire for us to like do that type of developer advocacy work. So it's like more from a developer experience point of view actually. Like how can we enable developers to be successful?[00:05:53] And that at the present moment is like building a strong foundation of documentation and things like that. And we had a bunch of amazing folks internally who were. Who were doing some of this work, but it really wasn't their full-time job. Like they were focused on other things and just helping out here and there.[00:06:05] And for me, my full-time job right now is how can we improve the documentation so that people can build the next generation of, of products and services on top of our api. And it's. Yeah. There's so much work that has to happen, but it's, it's, it's been a ton of fun so far. I find[00:06:20] swyx: being in developer relations myself, like, it's kind of like a fill in the blanks type of thing.[00:06:24] Like you go to where you, you're needed the most open. AI has no problem getting attention. It is more that people are not familiar with the APIs and, and the best practices around programming for large language models, which is a thing that did not exist three years ago, two years ago, maybe one year ago.[00:06:40] I don't know. When she launched your api, I think you launched Dall-E. As an API or I, I don't[00:06:45] Logan Kilpatrick: know. I dunno. The history, I think Dall-E was, was second. I think it was some of the, like GPT3 launched and then GPT3 launched and the API I think like two years ago or something like that. And then Dali was, I think a little more than a year ago.[00:06:58] And then now all the, the Chachi Beast ChatGPT stuff has, has blown it all outta the water. Which you have[00:07:04] swyx: a a wait list for. Should we get into that?[00:07:06] Logan Kilpatrick: Yeah. .[00:07:07] ChatGPT[00:07:07] Alessio Fanelli: Yeah. We would love to hear more about that. We were looking at some of the numbers you went. Zero to like a million users in five days and everybody, I, I think there's like dozens of ChatGPT API wrappers on GitHub that are unofficial and clearly people want the product.[00:07:21] Like how do you think about that and how developers can interact with it.[00:07:24] Logan Kilpatrick: It. It's absolutely, I think one of the most exciting things that I can possibly imagine to think about, like how much excitement there was around ChatGPT and now getting to hopefully at some point soon, put that in the hands of developers and see what they're able to unlock.[00:07:38] Like I, I think ChatGPT has been a tremendous success, hands down without a question, but I'm actually more excited to see what developers do with the API and like being able to build those chat first experiences. And it's really fascinating to see. Five years ago or 10 years ago, there was like, you know, all this like chatbot sort of mm-hmm.[00:07:57] explosion. And then that all basically went away recently, and the hype went to other places. And I think now we're going to be closer to that sort of chat layer and all these different AI chat products and services. And it'll be super interesting to see if that sticks or not. I, I'm not. , like I think people have a lot of excitement for ChatGPT right now, but it's not clear to me that that that's like the, the UI or the ux, even though people really like it in the moment, whether that will stand the test of time, I, I just don't know.[00:08:23] And I think we'll have to do a podcast in five years. Right. And check in and see whether or not people are still really enjoying that sort of conversational experience. I think it does make sense though cause like that's how we all interact and it's kind of weird that you wouldn't do that with AI products.[00:08:37] So we. and I think like[00:08:40] Alessio Fanelli: the conversational interface has made a lot of people, first, the AI to hallucinate, you know, kind of come up with things that are not true and really find all the edge cases. I think we're on the optimism camp, you know, like we see the potential. I think a lot of people like to be negative.[00:08:56] In your role, kind of, how do you think about evangelizing that and kind of the patience that sometimes it takes for these models to become.[00:09:03] Logan Kilpatrick: Yeah, I think what, what I've done is just continue to scream from the, the mountains that like ChatGPT has, current form is definitely a research preview. The model that underlies ChatGPT GPT 3.5 is not a research preview.[00:09:15] I think there's things that folks can do to definitely reduce the amount of hall hallucinations and hopefully that's something that over time I, I, again have full confidence that it'll, it'll solve. Yeah, there's a bunch of like interesting engineering challenges. you have to solve in order to like really fix that problem.[00:09:33] And I think again, people are, are very fixated on the fact that like in, you know, a few percentage points of the conversations, things don't sound really good. Mm-hmm. , I'm really more excited to see, like, again when the APIs and the Han developers like what are the interesting solutions that people come up with, I think there's a lot that can be explored and obviously, OpenAI can explore all them because we have this like one product that's using the api.[00:09:56] And once you get 10,000, a hundred thousand developers building on top of that, like, we'll see what are the different ways that people handle this. And I imagine there's a lot of low-hanging fruit solutions that'll significantly improve the, the amount of halluc hallucinations that are showing up. Talk about[00:10:11] swyx: building on top of your APIs.[00:10:13] Chat GPTs API is not out yet, but let's assume it is. Should I be, let's say I'm, I'm building. A choice between GP 3.5 and chat GPT APIs. As far as I understand, they are kind of comparable. What should people know about deciding between either of them? Like it's not clear to me what the difference is.[00:10:33] Logan Kilpatrick: It's a great question.[00:10:35] I don't know if there's any, if we've made any like public statements about like what the difference will be. I think, I think the point is that the interface for the Chachi B API will be like conversational first, and that's not the case now. If you look at text da Vinci oh oh three, like you, you just put in any sort of prompt.[00:10:52] It's not really built from the ground up to like keep the context of a conversation and things like that. And so it's really. Put in some sort of prompt, get a response. It's not always designed to be in that sort of conversational manner, so it's not tuned in that way. I think that's the biggest difference.[00:11:05] I think, again, the point that Sam made in a, a strictly the strictly VC talk mm-hmm. , which was incredible and I, I think that that talk got me excited and my, which, which part? The whole thing. And I think, I haven't been at open AI that long, so like I didn't have like a s I obviously knew who Sam was and had seen a bunch of stuff, but like obviously before, a lot of the present craziness with Elon Musk, like I used to think Elon Musk seemed like a really great guy and he was solving all these really important problems before all the stuff that happened.[00:11:33] That's a hot topic. Yeah. The stuff that happened now, yeah, now it's much more questionable and I regret having a Tesla, but I, I think Sam is actually. Similar in the sense that like he's solving and thinking about a lot of the same problems that, that Elon, that Elon is still today. But my take is that he seems like a much more aligned version of Elon.[00:11:52] Like he's, he's truly like, I, I really think he cares deeply about people and I think he cares about like solving the problems that people have and wants to enable people. And you can see this in the way that he's talked about how we deploy models at OpenAI. And I think you almost see Tesla in like the completely opposite end of the spectrum, where they're like, whoa, we.[00:12:11] Put these 5,000 pound machines out there. Yeah. And maybe they'll run somebody over, maybe they won't. But like it's all in the interest of like advancement and innovation. I think that's really on the opposite end of the spectrum of, of what open AI is doing, I think under Sam's leadership. So it's, it's interesting to see that, and I think Sam said[00:12:30] Alessio Fanelli: that people could have built Chen g p t with what you offered like six, nine months ago.[00:12:35] I[00:12:35] swyx: don't understand. Can we talk about this? Do you know what, you know what we're talking about, right? I do know what you're talking about. da Vinci oh three was not in the a p six months before ChatGPT. What was he talking about? Yeah.[00:12:45] Logan Kilpatrick: I think it's a little bit of a stretch, but I do think that it's, I, I think the underlying principle is that.[00:12:52] The way that it, it comes back to prompt engineering. The way that you could have engineered, like the, the prompts that you were put again to oh oh three or oh oh two. You would be able to basically get that sort of conversational interface and you can do that now. And, and I, you know, I've seen tutorials.[00:13:05] We have tutorials out. Yep. No, we, I mean, we, nineties, we have tutorials in the cookbook right now in on GitHub. We're like, you can do this same sort of thing. And you just, it's, it's all about how you, how you ask for responses and the way you format data and things like that. It. The, the models are currently only limited by what people are willing to ask them to do.[00:13:24] Like I really do think that, yeah, that you can do a lot of these things and you don't need the chat CBT API to, to build that conversational layer. That is actually where I[00:13:33] swyx: feel a little bit dumb because I feel like I don't, I'm not smart enough to think of new things to ask the models. I have to see an example and go, oh, you can do that.[00:13:43] All right, I'm gonna do that for now. You know, and, and that's why I think the, the cookbook is so important cuz it's kind of like a compendium of things we know about the model that you can ask it to do. I totally[00:13:52] Logan Kilpatrick: agree and I think huge shout out to the, the two folks who I work super closely with now on the cookbook, Ted and Boris, who have done a lot of that work and, and putting that out there and it's, yeah, you see number one trending repo on, on GitHub and it was super, like when my first couple of weeks at Open ai, super unknown, like really, we were only sort of directing our customers to that repo.[00:14:13] Not because we were trying to hide it or anything, but just because. It was just the way that we were doing things and then all of a sudden it got picked up on GitHub trending and a bunch of tweets went viral, showing the repo. So now I think people are actually being able to leverage the tools that are in there.[00:14:26] And, and Ted's written a bunch of amazing tutorials, Boris, as well. So I think it's awesome that more people are seeing those. And from my perspective, it's how can we take those, make them more accessible, give them more visibility, put them into the documentation, and I don't think that that connection right now doesn't exist, which I'm, I'm hopeful we'll be able to bridge those two things.[00:14:44] swyx: Cookbook is kind of a different set of documentation than API docs, and I think there's, you know, sort of existing literature about how you document these things and guide developers the right way. What, what I, what I really like about the cookbook is that it actually cites academic research. So it's like a nice way to not read the paper, but just read the conclusions of the paper ,[00:15:03] Logan Kilpatrick: and, and I think that's, that's a shout out to Ted and Boris cuz I, I think they're, they're really smart in that way and they've done a great job of finding the balance and understanding like who's actually using these different tools.[00:15:13] So, . Yeah.[00:15:15] swyx: You give other people credit, but you should take credit for yourself. So I read your last week you launched some kind of documentation about rate limiting. Yeah. And one of my favorite things about reading that doc was seeing examples of, you know, you were, you're telling people to do exponential back off and, and retry, but you gave code examples with three popular libraries.[00:15:32] You didn't have to do that. You could have just told people, just figure it out. Right. But you like, I assume that was you. It wasn't.[00:15:38] Logan Kilpatrick: So I think that's the, that's, I mean, I'm, I'm helping sort of. I think there's a lot of great stuff that people have done in open ai, but it was, we have the challenge of like, how can we make that accessible, get it into the documentation and still have that high bar for what goes into the doc.[00:15:51] So my role as of recently has been like helping support the team, building that documentation first culture, and supporting like the other folks who actually are, who wrote that information. The information was actually already in. Help center but it out. Yeah, it wasn't in the docs and like wasn't really focused on, on developers in that sense.[00:16:10] So yeah. I can't take the, the credit for the rate limit stuff either. , no, this[00:16:13] swyx: is all, it's part of the A team, that team effort[00:16:16] On Prompt Engineering[00:16:16] Alessio Fanelli: I was reading on Twitter, I think somebody was saying in the future will be kind of like in the hair potter word. People have like the spell book, they pull it out, they do all the stuff in chat.[00:16:24] GP z. When you talk with customers, like are they excited about doing prompt engineering and kind of getting a starting point or do they, do they wish there was like a better interface? ?[00:16:34] Logan Kilpatrick: Yeah, that's a good question. I think prompt engineering is so much more of an art than a science right now. Like I think there are like really.[00:16:42] Systematic things that you can do and like different like approaches and designs that you can take, but really it's a lot of like, you kind of just have to try it and figure it out. And I actually think that this remains to be one of the challenges with large language models in general, and not just head open ai, but for everyone doing it is that it's really actually difficult to understand what are the capabilities of the model and how do I get it to do the things that I wanted to do.[00:17:05] And I think that's probably where a lot of folks need to do like academic research and companies need to invest in understanding the capabilities of these models and the limitations because it's really difficult to articulate the capabilities of a model without those types of things. So I'm hopeful that, and we're shipping hopefully some new updated prompt engineering stuff.[00:17:24] Cause I think the stuff we have on the website is old, and I think the cookbook actually has a little bit more up-to-date stuff. And so hopefully we'll ship some new prompt engineering stuff in the, in the short term. I think dispel some of the myths and rumors, but like I, it's gonna continue to be like a, a little bit of a pseudoscience, I would imagine.[00:17:41] And I also think that the whole prompt engineering being like a job in the future meme, I think is, I think it's slightly overblown. Like I think at, you see this now actually with like, there's tools that are showing up and I forgot what the, I just saw went on Twitter. The[00:17:57] swyx: next guest that we are having on this podcast, Lang.[00:17:59] Yeah. Yeah.[00:18:00] Logan Kilpatrick: Lang Chain and Harrison on, yeah, there's a bunch of repos too that like categorize and like collect all the best prompts that you can put into chat. For example, and like, that's like the people who are, I saw the advertisement for someone to be like a prompt engineer and it was like a $350,000 a year.[00:18:17] Mm-hmm. . Yeah, that was, that was philanthropic. Yeah, so it, it's just unclear to me like how, how sustainable stuff like that is. Cuz like, once you figure out the interesting prompts and like right now it's kind of like the, the Wild West, but like in a year you'll be able to sort of categorize all those and then people will be able to find all the good ones that are relevant for what they want to do.[00:18:35] And I think this goes back to like, having the examples is super important and I'm, I'm with you as well. Like every time I use Dall-E the little. While it's rendering the image, it gives you like a suggestion of like how you should ask for the art to be generated. Like do it in like a cyberpunk format. Do it in a pixel art format.[00:18:53] Et cetera, et cetera, and like, I really need that. I'm like, I would never come up with asking for those things had it not prompted me to like ask it that way. And now I always ask for pixel art stuff or cyberpunk stuff and it looks so cool. That's what I, I think,[00:19:06] swyx: is the innovation of ChatGPT as a format.[00:19:09] It reduces. The need for getting everything into your prompt in the first try. Mm-hmm. , it takes it from zero shot to a few shot. If, if, if that, if prompting as, as, as shots can be concerned.[00:19:21] Logan Kilpatrick: Yeah. , I think that's a great perspective and, and again, this goes back to the ux UI piece of it really being sort of the differentiating layer from some of the other stuff that was already out there.[00:19:31] Because you could kind of like do this before with oh oh three or something like that if you just made the right interface and like built some sort of like prompt retry interface. But I don't think people were really, were really doing that. And I actually think that you really need that right now. And this is the, again, going back to the difference between like how you can use generative models versus like large scale.[00:19:53] Computer vision systems for self-driving cars, like the, the answer doesn't actually need to be right all the time. That's the beauty of, of large language models. It can be wrong 50% of the time and like it doesn't really cost you anything to like regenerate a new response. And there's no like, critical safety issue with that, so you don't need those.[00:20:09] I, I keep seeing these tweets about like, you need those like 99.99% reliability and like the three nines or whatever it is. Mm-hmm. , but like you really don't need that because the cost of regenerating the prop is again, almost, almost. I think you tweeted a[00:20:23] Alessio Fanelli: couple weeks ago that the average person doesn't yet fully grasp how GBT is gonna impact human life in the next four, five years.[00:20:30] Usecases and LLM-Native Products[00:20:30] Alessio Fanelli: I think you had an example in education. Yeah. Maybe touch on some of these. Example of non-tech related use cases that are enabling, enabled by C G B[00:20:38] T.[00:20:39] Logan Kilpatrick: I'm so excited and, and there's a bunch of other like random threads that come to my mind now. I saw a thread and, and our VP of product was, Peter, was, was involved in that thread as well, talking about like how the use of systems like ChatGPT will unlock like pretty almost low to zero cost access to like mental health services.[00:20:59] You know, you can imagine like the same use case for education, like really personalized tutors and like, it's so crazy to think about, but. The technology is not actually , like it's, it's truly like an engineering problem at this point of like somebody using one of these APIs to like build something like that and then hopefully the models get a little bit better and make it, make it better as well.[00:21:20] But like it, I have no doubt in my mind that three years from now that technology will exist for every single student in the world to like have that personalized education experience, have a pr, have a chat based experience where like they'll be able. Ask questions and then the curriculum will just evolve and be constructed for them in a way that keeps, I think the cool part is in a way that keeps them engaged, like it doesn't have to be sort of like the same delivery of curriculum that you've always seen, and this now supplements.[00:21:49] The sort of traditional education experience in the sense of, you know, you don't need teachers to do all of this work. They can really sort of do the thing that they're amazing at and not spend time like grading assignments and all that type of stuff. Like, I really do think that all those could be part of the, the system.[00:22:04] And same thing, I don't know if you all saw the the do not pay, uh, lawyer situation, say, I just saw that Twitter thread, I think yesterday around they were going to use ChatGPT in the courtroom and basically I think it was. California Bar or the Bar Institute said that they were gonna send this guy to prison if he brought, if he put AirPods in and started reading what ChatGPT was saying to him.[00:22:26] Yeah.[00:22:26] swyx: To give people the context, I think, like Josh Browder, the CEO of Do Not Pay, was like, we will pay you money to put this AirPod into your ear and only say what we tell you to say fr from the large language model. And of course the judge was gonna throw that out. I mean, I, I don't see how. You could allow that in your court,[00:22:42] Logan Kilpatrick: Yeah, but I, I really do think that, like, the, the reality is, is that like, again, it's the same situation where the legal spaces even more so than education and, and mental health services, is like not an accessible space. Like every, especially with how like overly legalized the United States is, it's impossible to get representation from a lawyer, especially if you're low income or some of those things.[00:23:04] So I'm, I'm optimistic. Those types of services will exist in the future. And you'll be able to like actually have a, a quality defense representative or just like some sort of legal counsel. Yeah. Like just answer these questions, what should I do in this situation? Yeah. And I like, I have like some legal training and I still have those same questions.[00:23:22] Like I don't know what I would do in that situation. I would have to go and get a lawyer and figure that out. And it's, . It's tough. So I'm excited about that as well. Yeah.[00:23:29] Alessio Fanelli: And when you think about all these vertical use cases, do you see the existing products implementing language models in what they have?[00:23:35] Or do you think we're just gonna see L L M native products kind of come to market and build brand[00:23:40] Logan Kilpatrick: new experiences? I think there'll be a lot of people who build the L l M first experience, and I think that. At least in the short term, those are the folks who will have the advantage. I do think that like the medium to long term is again, thinking about like what is your moat for and like again, and everyone has access to, you know, ChatGPT and to the different models that we have available.[00:24:05] So how can you build a differentiated business? And I think a lot of it actually will come down to, and this is just the true and the machine learning world in general, but having. Unique access to data. So I think if you're some company that has some really, really great data about the legal space or about the education space, you can use that and be better than your competition by fine tuning these models or building your own specific LLMs.[00:24:28] So it'll, it'll be interesting to see how that plays out, but I do think that. from a product experience, it's gonna be better in the short term for people who build the, the generative AI first experience versus people who are sort of bolting it onto their mm-hmm. existing product, which is why, like, again, the, the Google situation, like they can't just put in like the prompt into like right below the search bar.[00:24:50] Like, it just, it would be a weird experience and, and they have to sort of defend that experience that they have. So it, it'll be interesting to see what happens. Yeah. Perplexity[00:24:58] swyx: is, is kind of doing that. So you're saying perplexity will go Google ?[00:25:04] Logan Kilpatrick: I, I think that perplexity has a, has a chance in the short term to actually get more people to try the product because it's, it's something different I think, whether they can, I haven't actually used, so I can't comment on like that experience, but like I think the long term is like, How can they continue to differentiate?[00:25:21] And, and that's really the focus for like, if you're somebody building on these models, like you have to be, your first thought should be, how do I build a differentiated business? And if you can't come up with 10 reasons that you can build a differentiated business, you're probably not gonna succeed in, in building something that that stands the test of time.[00:25:37] Yeah.[00:25:37] Risks and benefits of building on OpenAI[00:25:37] swyx: I think what's. As a potential founder or something myself, like what's scary about that is I would be building on top of open ai. I would be sending all my stuff to you for fine tuning and embedding and what have you. By the way, fine tuning, embedding is their, is there a third one? Those are the main two that I know of.[00:25:55] Okay. And yeah, that's the risk. I would be a open AI API reseller.[00:26:00] Logan Kilpatrick: Yeah. And, and again, this, this comes back down to like having a clear sense of like how what you're building is different. Like the people who are just open AI API resellers, like, you're not gonna, you're not gonna have a successful business doing that because everybody has access to the Yeah.[00:26:15] Jasper's pretty great. Yeah, Jasper's pretty great because I, I think they've done a, they've, they've been smart about how they've positioned the product and I was actually a, a Jasper customer before I joined OpenAI and was using it to do a bunch of stuff. because the interface was simple because they had all the sort of customized, like if you want for like a response for this sort of thing, they'd, they'd pre-done that prompt engineering work for us.[00:26:39] I mean, you could really just like put in some exactly what you wanted and then it would make that Amazon product description or whatever it is. So I think like that. The interface is the, the differentiator for, for Jasper. And again, whether that send test time, hopefully, cuz I know they've raised a bunch of money and have a bunch of employees, so I'm, I'm optimistic for them.[00:26:58] I think that there's enough room as well for a lot of these companies to succeed. Like it's not gonna, the space is gonna get so big so quickly that like, Jasper will be able to have a super successful business. And I think they are. I just saw some, some tweets from the CEO the other day that I, I think they're doing, I think they're doing well.[00:27:13] Alessio Fanelli: So I'm the founder of A L L M native. I log into open ai, there's 6 million things that I can do. I'm on the playground. There's a lot of different models. How should people think about exploring the surface area? You know, where should they start? Kind of like hugging the go deeper into certain areas.[00:27:30] Logan Kilpatrick: I think six months ago, I think it would've been a much different conversation because people hadn't experienced ChatGPT before.[00:27:38] Now that people have experienced ChatGPT, I think there's a lot more. Technical things that you should start looking into and, and thinking about like the differentiators that you can bring. I still think that the playground that we have today is incredible cause it does sort of similar to what Jasper does, which is like we have these very focused like, you know, put in a topic and we'll generate you a summary, but in the context of like explaining something to a second grader.[00:28:03] So I think all of those things like give a sense, but we only have like 30 on the website or something like that. So really doing a lot of exploration around. What is out there? What are the different prompts that you can use? What are the different things that you can build on? And I'm super bullish on embeddings, like embed everything and that's how you can build cool stuff.[00:28:20] And I keep seeing all these Boris who, who I talked about before, who did a bunch of the cookbook stuff, tweeted the other day that his like back of the hand, back of the napkin math, was that 50 million bucks you can embed the whole internet. I'm like, Some companies gonna spend the 50 million and embed the whole internet and like, we're gonna find out what that product looks like.[00:28:40] But like, there's so many cool things that you could do if you did have the whole internet embedded. Yeah, and I, I mean, I wouldn't be surprised if Google did that cuz 50 million is a drop in the bucket and they already have the whole internet, so why not embed it?[00:28:52] swyx: Can can I ask a follow up question on that?[00:28:54] Cuz I am just learning about embeddings myself. What makes open eyes embeddings different from other embeddings? If, if there's like, It's okay if you don't have the, the numbers at hand, but I'm just like, why should I use open AI emitting versus others? I[00:29:06] Logan Kilpatrick: don't understand. Yeah, that's a really good question.[00:29:08] So I'm still ramping up on my understanding of embeddings as well. So the two things that come to my mind, one, going back to the 50 million to embed the whole internet example, it's actually just super cheap. I, I don't know the comparisons of like other prices, but at least from what I've seen people talking about on Twitter, like the embeddings that that we have in the API is just like significantly cheaper than a lot of other c.[00:29:30] Embeddings. Also the accuracy of some of the benchmarks that are like, Sort of academic benchmarks to use in embeddings. I know at least I was just looking back through the blog post from when we announced the new text embedding model, which is what Powers embeddings and it's, yeah, the, on those metrics, our API is just better.[00:29:50] So those are the those. I'll go read it up. Yeah, those are the two things. It's a good. It's a good blog post to read. I think the most recent one that came out, but, and also the original one from when we first announced the Embeddings api, I think also was a, it had, that one has a little bit more like context around if you're trying to wrap your head around embeddings, how they work.[00:30:06] That one has the context, the new one just has like the fancy new stuff and the metrics and all that kind of stuff.[00:30:11] swyx: I would shout a hugging face for having really good content around what these things like foundational concepts are. Because I was familiar with, so, you know, in Python you have like text tove, my first embedding as as a, as someone getting into nlp.[00:30:24] But then developing the concept of sentence embeddings is, is as opposed to words I think is, is super important. But yeah, it's an interesting form of lock in as a business because yes, I'm gonna embed all my source data, but then every inference needs an embedding as. . And I think that is a risk to some people, because I've seen some builders should try and build on open ai, call that out as, as a cost, as as like, you know, it starts to add a cost to every single query that you, that you[00:30:48] Logan Kilpatrick: make.[00:30:49] Yeah. It'll be interesting to see how it all plays out, but like, my hope is that that cost isn't the barrier for people to build because it's, it's really not like the cost for doing the incremental like prompts and having them embedded is, is. Cent less than cents, but[00:31:06] swyx: cost I, I mean money and also latency.[00:31:08] Yeah. Which is you're calling the different api. Yeah. Anyway, we don't have to get into that.[00:31:13] Alessio Fanelli: No, but I think embeds are a good example. You had, I think, 17 versions of your first generation, what api? Yeah. And then you released the second generation. It's much cheaper, much better. I think like the word on the street is like when GPT4 comes out, everything else is like trash that came out before it.[00:31:29] It's got[00:31:30] Logan Kilpatrick: 100 trillion billion. Exactly. Parameters you don't understand. I think Sam has already confirmed that those are, those are not true . The graphics are not real. Whatever you're seeing on Twitter about GPT4, you're, I think the direct quote was, you're begging to be disappointed by continuing to, to put that hype out.[00:31:47] So[00:31:48] Alessio Fanelli: if you're a developer building on these, What's kind of the upgrade path? You know, I've been building on Model X, now this new model comes out. What should I do to be ready to move on?[00:31:58] Logan Kilpatrick: Yeah. I think all of these types of models folks have to think about, like there will be trade offs and they'll also be.[00:32:05] Breaking changes like any other sort of software improvement, like things like the, the prompts that you were previously expecting might not be the prompts that you're seeing now. And you can actually, you, you see this in the case of the embeddings example that you just gave when we released Tex embeddings, ADA oh oh two, ada, ada, whichever it is oh oh two, and it's sort of replaced the previous.[00:32:26] 16 first generation models, people went through this exact experience where like, okay, I need to test out this new thing, see how it works in my environment. And I think that the really fascinating thing is that there aren't, like the tools around doing this type of comparison don't exist yet today. Like if you're some company that's building on lms, you sort of just have to figure it out yourself of like, is this better in my use case?[00:32:49] Is this not better? In my use case, it's, it's really difficult to tell because the like, Possibilities using generative models are endless. So I think folks really need to focus on, again, that goes back to how to build a differentiated business. And I think it's understanding like what is the way that people are using your product and how can you sort of automate that in as much way and codify that in a way that makes it clear when these different models come up, whether it's open AI or other companies.[00:33:15] Like what is the actual difference between these and which is better for my use case because the academic be. It'll be saturated and people won't be able to use them as a point of comparison in the future. So it'll be important to think about. For your specific use case, how does it differentiate?[00:33:30] swyx: I was thinking about the value of frameworks or like Lang Chain and Dust and what have you out there.[00:33:36] I feel like there is some value to building those frameworks on top of Open Eyes, APIs. It kind of is building what's missing, essentially what, what you guys don't have. But it's kind of important in the software engineering sense, like you have this. Unpredictable, highly volatile thing, and you kind of need to build a stable foundation on top of it to make it more predictable, to build real software on top of it.[00:33:59] That's a super interesting kind of engineering problem. .[00:34:03] Logan Kilpatrick: Yeah, it, it is interesting. It's also the, the added layer of this is that the large language models. Are inherently not deterministic. So I just, we just shipped a small documentation update today, which, which calls this out. And you think about APIs as like a traditional developer experience.[00:34:20] I send some response. If the response is the same, I should get the same thing back every time. Unless like the data's updating and like a, from like a time perspective. But that's not the, that's not the case with the large language models, even with temperature zero. Mm-hmm. even with temperature zero. Yep.[00:34:34] And that's, Counterintuitive part, and I think someone was trying to explain to me that it has to do with like Nvidia. Yeah. Floating points. Yes. GPU stuff. and like apparently the GPUs are just inherently non-deterministic. So like, yes, there's nothing we can do unless this high Torch[00:34:48] swyx: relies on this as well.[00:34:49] If you want to. Fix this. You're gonna have to tear it all down. ,[00:34:53] Logan Kilpatrick: maybe Nvidia, we'll fix it. I, I don't know, but I, I think it's a, it's a very like, unintuitive thing and I don't think that developers like really get that until it happens to you. And then you're sort of scratching your head and you're like, why is this happening?[00:35:05] And then you have to look it up and then you see all the NVIDIA stuff. Or hopefully our documentation makes it more clear now. But hopefully people, I also think that's, it's kinda the cool part as well. I don't know, it's like, You're not gonna get the same stuff even if you try to.[00:35:17] swyx: It's a little spark of originality in there.[00:35:19] Yeah, yeah, yeah, yeah. The random seed .[00:35:22] OpenAI Codex[00:35:22] swyx: Should we ask about[00:35:23] Logan Kilpatrick: Codex?[00:35:23] Alessio Fanelli: Yeah. I mean, I love Codex. I use it every day. I think like one thing, sometimes the code is like it, it's kinda like the ChatGPT hallucination. Like one time I asked it to write up. A Twitter function, they will pull the bayou of this thing and it wrote the whole thing and then the endpoint didn't exist once I went to the Twitter, Twitter docs, and I think like one, I, I think there was one research that said a lot of people using Co Palace, sometimes they just auto complete code that is wrong and then they commit it and it's a, it's a big[00:35:51] Logan Kilpatrick: thing.[00:35:51] swyx: Do you secure code as well? Yeah, yeah, yeah, yeah. I saw that study.[00:35:54] Logan Kilpatrick: How do[00:35:54] Alessio Fanelli: you kind of see. Use case evolving. You know, you think, like, you obviously have a very strong partnership with, with Microsoft. Like do you think Codex and VS code will just keep improving there? Do you think there's kind of like a. A whole better layer on top of it, which is from the scale AI hackathon where the, the project that one was basically telling the l l m, you're not the back end of a product[00:36:16] And they didn't even have to write the code and it's like, it just understood. Yeah. How do you see the engineer, I, I think Sean, you said copilot is everybody gets their own junior engineer to like write some of the code and then you fix it For me, a lot of it is the junior engineer gets a senior engineer to actually help them write better code.[00:36:32] How do you see that tension working between the model and the. It'll[00:36:36] Logan Kilpatrick: be really interesting to see if there's other, if there's other interfaces to this. And I think I've actually seen a lot of people asking, like, it'd be really great if I had ChatGPT and VS code because in, in some sense, like it can, it's just a better, it's a better interface in a lot of ways to like the, the auto complete version cuz you can reprompt and do, and I know Via, I know co-pilot actually has that, where you can like click and then give it, it'll like pop up like 10 suggested.[00:36:59] Different options instead of brushes. Yeah, copilot labs, yeah. Instead of the one that it's providing. And I really like that interface, but again, this goes back to. I, I do inherently think it'll get better. I think it'll be able to do a lot, a lot more of the stuff as the models get bigger, as they have longer context as they, there's a lot of really cool things that will end up coming out and yeah, I don't think it's actually very far away from being like, much, much better.[00:37:24] It'll go from the junior engineer to like the, the principal engineer probably pretty quickly. Like I, I don't think the gap is, is really that large between where things are right now. I think like getting it to the point. 60% of the stuff really well to get it to do like 90% of the stuff really well is like that's within reach in the next, in the next couple of years.[00:37:45] So I'll be really excited to see, and hopefully again, this goes back to like engineers and developers and people who aren't thinking about how to integrate. These tools, whether it's ChatGPT or co-pilot or something else into their workflows to be more efficient. Those are the people who I think will end up getting disrupted by these tools.[00:38:02] So figuring out how to make yourself more valuable than you are today using these tools, I think will be super important for people. Yeah.[00:38:09] Alessio Fanelli: Actually use ChatGPT to debug, like a react hook the other day. And then I posted in our disc and I was like, Hey guys, like look, look at this thing. It really helped me solve this.[00:38:18] And they. That's like the ugliest code I've ever seen. It's like, why are you doing that now? It's like, I don't know. I'm just trying to get[00:38:24] Logan Kilpatrick: this thing to work and I don't know, react. So I'm like, that's the perfect, exactly, that's the perfect solution. I, I did this the other day where I was looking at React code and like I have very briefly seen React and run it like one time and I was like, explain how this is working.[00:38:38] So, and like change it in this way that I want to, and like it was able to do that flawlessly and then I just popped it in. It worked exactly like I. I'll give a[00:38:45] swyx: little bit more context cause I was, I was the guy giving you feedback on your code and I think this is a illustrative of how large language models can sort of be more confident than they should be because you asked it a question which is very specific on how to improve your code or fix your code.[00:39:00] Whereas a real engineer would've said, we've looked at your code and go, why are you doing it at at all? Right? So there's a sort of sycophantic property of martial language. Accepts the basis of your question, whereas a real human might question your question. Mm-hmm. , and it was just not able to do that. I mean, I, I don't see how he could do that.[00:39:17] Logan Kilpatrick: Yeah. It's, it's interesting. I, I saw another example of this the other day as well with some chatty b t prompt and I, I agree. It'll be interesting to see if, and again, I think not to, not to go back to Sam's, to Sam's talk again, but like, he, he talked real about this, and I think this makes a ton of sense, which is like you should be able to have, and this isn't something that that exists right now, but you should be able to have the model.[00:39:39] Tuned in the way that you wanna interact with. Like if you want a model that sort of questions what you're asking it to do, like you should be able to have that. And I actually don't think that that's as far away as like some of the other stuff. Um, It, it's a very possible engineering problem to like have the, to tune the models in that way and, and ask clarifying questions, which is even something that it doesn't do right now.[00:39:59] It'll either give you the response or it won't give you the response, but it'll never say like, Hey, what do you mean by this? Which is super interesting cuz that's like we spend as humans, like 50% of our conversational time being like, what do you mean by that? Like, can you explain more? Can you say it in a different way?[00:40:14] And it's, it's fascinating that the model doesn't do that right now. It's, it's interesting.[00:40:20] swyx: I have written a piece on sort of what AGI hard might be, which is the term that is being thrown around as like a layer of boundary for what is, what requires an A real AGI to do and what, where you might sort of asymptotically approach.[00:40:33] So, What people talk about is essentially a theory of mind, developing a con conception of who I'm talking to and persisting that across sessions, which essentially ChatGPT or you know, any, any interface that you build on top of GPT3 right now would not be able to do. Right? Like, you're not persisting you, you are persisting that history, but you don't, you're not building up a conception of what you know and what.[00:40:54] I should fill in the blanks for you or where I should question you. And I think that's like the hard thing to understand, which is what will it take to get there? Because I think that to me is the, going back to your education thing, that is the biggest barrier, which is I, the language model doesn't have a memory or understanding of what I know.[00:41:11] and like, it's, it's too much to tell them what I don't know. Mm-hmm. , there's more that I don't know than I, than I do know . I think the cool[00:41:16] Logan Kilpatrick: part will be when, when you're able to, like, imagine you could upload all of the, the stuff that you've ever done, all the texts, the work that you've ever done before, and.[00:41:27] The model can start to understand, hey, what are the, what are the conceptual gaps that this person has based on what you've said, based on what you've done? I think that would be really interesting. Like if you can, like I have good notes on my phone and I can still go back to see all of the calculus classes that I took and I could put in all my calculus notebooks and all the assignments and stuff that I did in, in undergrad and grad school, and.[00:41:50] basically be like, Hey, here are the gaps in your understanding of calculus. Go and do this right now. And I think that that's in the education space. That's exactly what will end up happening. You'll be able to put in all this, all the work that you've done. It can understand those ask and then come up with custom made questions and prompts and be like, Hey, how, you know, explain this concept to me and if it.[00:42:09] If you can't do that, then it can sort of put that into your curriculum. I think like Khan Academy as an example, already does some of this, like personalized learning. You like take assessments at the beginning of every Khan Academy model module, and it'll basically only have you watch the videos and do the assignments for the things that like you didn't test well into.[00:42:27] So that's, it's, it's sort of close to already being there in some sense, but it doesn't have the, the language model interface on top of it before we[00:42:34] swyx: get into our lightning round, which is like, Quick response questions. Was there any other topics that you think you wanted to cover? We didn't touch on, whisper.[00:42:40] We didn't touch on Apple. Anything you wanted to[00:42:42] Logan Kilpatrick: talk?[00:42:43] Apple's Neural Engine[00:42:43] Logan Kilpatrick: Yeah, I think the question around Apple stuff and, and the neural engine, I think will be really interesting to see how it all plays out. I think, I don't know if you wanna like ask just to give the context around the neural engine Apple question. Well, well, the[00:42:54] swyx: only thing I know it's because I've seen Apple keynotes.[00:42:57] Everyone has, you know, I, I have a m M one MacBook Cure. They have some kind of neuro chip. , but like, I don't see it in my day-to-day life, so when is this gonna affect me, essentially? And you worked at Apple, so I I was just gonna throw the question over to you, like, what should we[00:43:11] Logan Kilpatrick: expect out of this? Yeah.[00:43:12] The, the problem that I've seen so far with the neural engine and all the, the Mac, and it's also in the phones as well, is that the actual like, API to sort of talk to the neural engine isn't something that's like a common you like, I'm pretty sure it's either not exposed at all, like it only like Apple basically decides in the software layer Yeah.[00:43:34] When, when it should kick in and when it should be used, which I think doesn't really like help developers and it doesn't, that's why no one is using it. I saw a bunch of, and of course I don't have any good insight on this, but I saw a bunch of rumors that we're talking about, like a lot of. Main use cases for the neural engine stuff.[00:43:50] It's, it's basically just in like phantom mode. Now, I'm sure it's doing some processing, but like the main use cases will be a lot of the ar vr stuff that ends up coming out and like when it gets much heavier processing on like. Graphic stuff and doing all that computation, that's where it'll be. It'll be super important.[00:44:06] And they've basically been able to trial this for the last, like six years and have it part of everything and make sure that they can do it cheaply in a cost effective way. And so it'll be cool to see when that I'm, I hope it comes out. That'll be awesome.[00:44:17] swyx: Classic Apple, right? They, they're not gonna be first, but when they do it, they'll make a lot of noise about it.[00:44:21] Yeah. . It'll be[00:44:22] Logan Kilpatrick: awesome. Sure.[00:44:22] Lightning Round[00:44:22] Logan Kilpatrick: So, so are we going to light. Let's[00:44:24] Alessio Fanelli: do it. All right. Favorite AI products not[00:44:28] Logan Kilpatrick: open AI. Build . I think synthesis. Is synthesis.io is the, yeah, you can basically put in like a text prompt and they have like a human avatar that will like speak and you can basically make content in like educational videos.[00:44:44] And I think that's so cool because maybe as people who are making content, like it's, it's super hard to like record video. It just takes a long time. Like you have to edit all the stuff, make sure you sound right, and then when you edit yourself talking it's super weird cuz your mouth is there and things.[00:44:57] So having that and just being able to ChatGPT A script. Put it in. Hopefully I saw another demo of like somebody generating like slides automatically using some open AI stuff. Like I think that type of stuff. Chat, BCG, ,[00:45:10] swyx: a fantastic name, best name of all time .[00:45:14] Logan Kilpatrick: I think that'll be cool. So I'm super excited,[00:45:16] swyx: but Okay.[00:45:16] Well, so just a follow up question on, on that, because we're both in that sort of Devrel business, would you put AI Logan on your video, on your videos and a hundred[00:45:23] Logan Kilpatrick: percent, explain that . A hundred percent. I would, because again, if it reduces the time for me, like. I am already busy doing a bunch of other stuff,[00:45:31] And if I could, if I could take, like, I think the real use case is like I've made, and this is in the sense of like creators wanting to be on every platform. If I could take, you know, the blog posts that I wrote and then have AI break it up into a bunch of things, have ai Logan. Make a TikTok, make a YouTube video.[00:45:48] I cannot wait for that. That's gonna be so nice. And I think there's probably companies who are already thinking about doing that. I'm just[00:45:53] swyx: worried cuz like people have this uncanny valley reaction to like, oh, you didn't tell me what I just watched was a AI generated thing. I hate you. Now you know there, there's a little bit of ethics there and I'm at the disclaimer,[00:46:04] Logan Kilpatrick: at the top.[00:46:04] Navigating. Yeah. I also think people will, people will build brands where like their whole thing is like AI content. I really do think there are AI influencers out there. Like[00:46:12] swyx: there are entire Instagram, like million plus follower accounts who don't exist.[00:46:16] Logan Kilpatrick: I, I've seen that with the, the woman who's a Twitch streamer who like has some, like, she's using like some, I don't know, that technology from like movies where you're like wearing like a mask and it like changes your facial appearance and all that stuff.[00:46:27] So I think there's, there's people who find their niche plus it'll become more common. So, cool. My[00:46:32] swyx: question would be, favorite AI people in communities that you wanna shout up?[00:46:37] Logan Kilpatrick: I think there's a bunch of people in the ML ops community where like that seemed to have been like the most exciting. There was a lot of innovation, a lot of cool things happening in the ML op space, and then all the generative AI stuff happened and then all the ML Ops two people got overlooked.[00:46:51] They're like, what's going on here? So hopefully I still think that ML ops and things like that are gonna be super important for like getting machine learning to be where it needs to be for us to. AGI and all that stuff. So a year from[00:47:05] Alessio Fanelli: now, what will people be the most[00:47:06] Logan Kilpatrick: surprised by? N. I think the AI is gonna get very, very personalized very quickly, and I don't think that people have that feeling yet with chat, BT, but I, I think that that's gonna, that's gonna happen and they'll be surprised in like the, the amount of surface areas in which AI is present.[00:47:23] Like right now it's like, it's really exciting cuz Chat BT is like the one place that you can sort of get that cool experience. But I think that, The people at Facebook aren't dumb. The people at Google aren't dumb. Like they're gonna have, they're gonna have those experiences in a lot of different places and I think that'll be super fascinating to see.[00:47:40] swyx: This is for the builders out there. What's an AI thing you would pay for if someone built it with their personal[00:47:45] Logan Kilpatrick: work? I think more stuff around like transfer learning for, like making transfer, learning easier. Like I think that's truly the way to. Build really cool things is transfer learning, fine tuning, and I, I don't think that there's enough.[00:48:04] Jeremy Howard who created Fasted AI talks a lot about this. I mean, it's something that really resonates with me and, and for context, like at Apple, all the machine learning stuff that we did was transfer learning because it was so powerful. And I think people have this perception that they need to.[00:48:18] Build things from scratch and that's not the case. And I think especially as large language models become more accessible, people need to build layers and products on top of this to make transfer learning more accessible to more people. So hopefully somebody builds something like that and we can all train our own models.[00:48:33] I think that's how you get like that personalized AI experiences you put in your stuff. Make transfer learning easy. Everyone wins. Just just to vector in[00:48:40] swyx: a little bit on this. So in the stable diffusion community, there's a lot of practice of like, I'll fine tune a custom dis of stable diffusion and share it.[00:48:48] And then there also, there's also this concept of, well, first it was textual inversion and then dream booth where you essentially train a concept that you can sort of add on. Is that what you're thinking about when you talk about transfer learning or is that something[00:48:59] Logan Kilpatrick: completely. I feel like I'm not as in tune with the generative like image model community as I probably should be.[00:49:07] I, I think that that makes a lot of sense. I think there'll be like whole ecosystems and marketplaces that are sort of built around exactly what you just said, where you can sort of fine tune some of these models in like very specific ways and you can use other people's fine tunes. That'll be interesting to see.[00:49:21] But, c.ai is,[00:49:23] swyx: what's it called? C C I V I Ts. Yeah. It's where people share their stable diffusion checkpoints in concepts and yeah, it's[00:49:30] Logan Kilpatrick: pretty nice. Do you buy them or is it just like free? Like open. Open source? It's, yeah. Cool. Even better.[00:49:34] swyx: I think people might want to sell them. There's a, there's a prompt marketplace.[00:49:38] Prompt base, yeah. Yeah. People hate it. Yeah. They're like, this should be free. It's just text. Come on, .[00:49:45] Alessio Fanelli: Hey, it's knowledge. All right. Last question. If there's one thing you want everyone to take away about ai, what would.[00:49:51] Logan Kilpatrick: I think the AI revolution is gonna, you know, it's been this like story that people have been talking about for the longest time, and I don't think that it's happened.[00:50:01] It was really like, oh, AI's gonna take your job, AI's gonna take your job, et cetera, et cetera. And I think people have sort of like laughed that off for a really long time, which was fair because it wasn't happening. And I think now, Things are going to accelerate very, very quickly. And if you don't have your eyes wide open about what's happening, like there's a good chance that something that you might get left behind.[00:50:21] So I'm, I'm really thinking deeply these days about like how that is going to impact a lot of people. And I, I'm hopeful that the more widespread this technology becomes, the more mainstream this technology becomes, the more people will benefit from it and hopefully not be affected in that, in that negative way.[00:50:35] So use these tools, put them into your workflow, and, and hopefully that will, and that will acceler. Well,[00:50:41] swyx: we're super happy that you're at OpenAI getting this message out there, and I'm sure we'll see a l
A rundown of what Conrad and Gyi will be talking about at the March ABA Techshow. Plus, Google Ads are so dang expensive, amiright? ----- Oh, boy! ABA Techshow is really, really soon, and the guys can't contain their excitement. On the pod, Gyi and Conrad give you a preview of their sessions and what you can expect; including branding and positioning, a data-driven section on the future of legal marketing, and using LinkedIn for brand acceleration. I mean, you ARE going to Techshow aren't you? Ha, of course you are. Be sure to bring all of your homemade #LHLM gear, hunt down the guys, and share your undying love for all things Lunch Hour Legal Marketing. Then, Conrad tries to make Gyi's head explode with the question, “Are Google Ads too expensive?” So, are they? Maybe, just maybe, you're asking the wrong question. If the only thing you are measuring is cost-per-click, you might be a little bit off-base. Learn from the best on how to analyze the true cost and benefit of your digital ad spend. The News: A.I. saw a $100 billion market cap loss. What happened? And how did Google react? DoNotPay is in the news again, and it could mean legal troubles are brewing. Using fruit snacks to generate good reviews from jurors.
Kathryn Tewson was a little-known paralegal when, on Jan. 24, she was suddenly thrust into the spotlight. That day, she published a scathing series of tweets recounting her investigation of DoNotPay, the company that describes itself as “the world's first robot lawyer.” She concluded that the company's supposed AI-driven products were little more than smoke and mirrors and that its representations about its products constituted consumer fraud. Her findings stirred intense interest both on social media and in the traditional media. Soon after she published her findings, DoNotPay's founder Joshua Browder announced he was taking down the products she tested. Now, Tewson has filed a legal action against DoNotPay and Browder in New York state that is the first step in a potential consumer class action. Last week on this podcast, Browder was our guest to respond to Tewson's allegations and other criticisms of him and his company that have come out over the past month. In the interview, he dismissed much of the controversy as “a bit of a nothingburger.” Today, Tewson joins LawNext host Bob Ambrogi to share her story of how she came to investigate DoNotPay, what she uncovered, and why she has now taken the first steps towards a potential class action. She also responds directly to some of what Browder said in last week's show. Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. Paradigm, home to the practice management platforms PracticePanther, Bill4Time, MerusCase and LollyLaw; the e-payments platform Headnote; and the legal accounting software TrustBooks. Lawmatics, providing legal client intake, law practice CRM, marketing automation, legal billing, document management, and much more, all in one easy-to-use law practice software. Legalweek, the one week where thousands of legal professionals gather to network with their peers, dive deeper into their professional development, and gain the tools to get legal business done, presented by ALM and Law.com March 20-23, 2023. If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.
If you've been reading Techdirt recently, you probably know all about supposed "AI Lawyer" service DoNotPay and the tireless investigation of the company undertaken by Kathryn Tewson, who has written a couple of Techdirt posts about the saga. This week, Kathryn joins us on the podcast for a long and entertaining discussion about the entire story (so far).
This week, Alexis gets non-technical with Joshua Browder, Founder and CEO of DoNotPay. They talk about double bubbled water, falling off a chair lift, Shakira!!!, passive aggression (just a touch!), and Equi-torial Guinea.You can find Joshua on Twitter at https://twitter.com/jbrowder1. You can find Alexis at twitter.com/yayalexisgay, instagram.com/yayalexisgay, and tiktok.com/@yayalexisgay or you can sign up for her email list at bit.ly/hellofromalexis.This episode is brought to you by Async, the first platform that helps replace unnecessary meetings with voice notes you can read, share and react to—allowing you to spend your time wisely without sacrificing personal connection. Be the first to know when Async launches by joining the waitlist now async.com!
On this episode of LawNext: Joshua Browder, founder of DoNotPay. Browder achieved international recognition when, at just 17 years old in 2015, he founded DoNotPay, touted as the world's first robot lawyer, to help people appeal parking tickets. The company claims the app has saved motorists in the U.S. and UK many millions of dollars. DoNotPay went on to release a series of apps designed to help consumers – and, more recently, small businesses – solve common legal problems, all without the need for a lawyer, and, along the way, it has raised some $28 million in venture funding. In recent weeks, however, Browder has been the subject of harsh criticism, both on social media and in the news media. The criticism came on two principal fronts. One was what many viewed as a pair of ill-conceived publicity stunts – first when Browder offered to pay a lawyer $1 million to argue a case in the Supreme Court guided via AirPods by DoNotPay's artificial intelligence, and the other when Browder said he would send a pro se litigant into traffic court guided by DoNotPay's AI whispering in his ear. He canceled that plan after claiming that state bar officials threatened him with prosecution. Then came a scathing series of tweets by Kathryn Tewson, a paralegal in Washington state who tried out several of DoNotPay's self-help legal tools, only to conclude that they were effectively smoke and mirrors, in some cases getting the law wrong, in others failing even to deliver the promised product. Following all that, Browder announced that he was taking down the legal tools from DoNotPay and would henceforth focus only on consumer rights. What does Browder say about all this? In this exclusive LawNext interview, he describes it all as “a bit of a nothingburger.” Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. Paradigm, home to the practice management platforms PracticePanther, Bill4Time, MerusCase and LollyLaw; the e-payments platform Headnote; and the legal accounting software TrustBooks. Lawmatics, providing legal client intake, law practice CRM, marketing automation, legal billing, document management, and much more, all in one easy-to-use law practice software. If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.
Episode 138: Today on TechTime with Nathan Mumm, "TechTime's Best of The Best from CES 2023 Laptops, Phones & Displays." We focus on the newsiest ideas on the technology items we use daily, and we have our Super Bowl TV Shopping Guide. Next, Cybercrime is the World's Third Largest Economy. Finally, Microsoft has an Outage of Service, and what company will use ChatGPT for content creation after laying off 12% of its employees? In addition, we have our standard features, including "Mike's Mesmerizing Moment," "This Week in Technology," and a possible "Nathan Nugget."Join us on TechTime Radio with Nathan Mumm, the show that makes you go "Hummmm" Technology news of the week for January 29th – February 4th, 2023.Episode 138: Starts at 1:35--- [Now on Today's Show]: Starts at 3:15--- [Top Stories in Technology]: Starts at 4:55Cybercrime is the World's Third Largest Economy After the U.S. and China. Cybersecurity Ventures released a new report claiming cybercrime will cost the world $8 trillion in 2023. - https://tinyurl.com/4pvuyk9r Buzzfeed to use ChatGPT for content creation after 12% employee layoff - https://tinyurl.com/3a5nmj9v Joshua Browder's artificial intelligence startup, DoNotPay, update as we go to the direct source Joshua himself. - https://tinyurl.com/2p9cctah--- [Pick of the Day - Whiskey Tasting Reveal]: Starts at 20:21Bulleit Bourbon Barrel Strength | 120.2 Proof | $49.95--- [TechTime's Best of The Best from CES 2023 Laptops, Phones & Displays part three of our three-part review of CES 2023]: Starts at 22:29Today we focus on Laptops, and Phones with our TechTime experts. Best of The Best Items from CES 2023 in LaptopsHP Dragonfly G4The ROG Zephyrus G14 Lenovo Yoga Book 9iBest of The Best Items from CES 2023 in Phones Samsung Galaxy Z Flip 4 - Foldable phones Lenovo ThinkPhone by Motorola--- [This Week in Technology]: Starts at 33:14January 29th, 1988, The computer game Tetris makes its first appearance in the United States as a PC game. The creator was Alexey Pajitnov is best known for designing and developing Tetris in 1984 while working for the Russian Academy of Science. --- [Marc's Whiskey Mumble]: Starts at 36:55 --- [TechTimes "TechTime's Best of The Best from CES 2023 Laptops, Phones & Displays" part 2]: Starts at 40:10Best of The Best Items from CES 2023 in Display - TVLG Meta - LG is bringing bigger and brighter OLED panels to the market, thanks to its new Meta technology. Samsung Odyssey Neo G9 gaming PC monitor, is a curved 57-inch display has an 8K 7,680×2,160 resolution screen with a 32:9 aspect ratio. That means owners will get the equivalent of two UHD screens on one display. LG's M3-Series OLED, which wowed everyone at CES 2023 with its huge 97-inch (diagonal) size with the Zero Connect box. --- [Super Bowl Steal and Deals ]: Starts at 45:11--- [Technology Fail of the Week]: Starts at 49:20This week's “Technology Fail” comes to us from Microsoft as services have recovered after tens of thousands of users reported its products, including Outlook and Teams, had stopped working late last week.--- [Mike's Mesmerizing Moment brought to us by StoriCoffee®]: Starts at 51:20--- [Pick of the Day Whiskey Review]: Starts at 54:39Bulleit Bourbon Barrel Strength | 120.2 Proof | $49.95Mike: Thumbs UpNathan: Thumbs Up
Several of the major tech companies have earnings calls this week, which will tell us more about how they're doing and where we go from here. Plus, we learn more about the affects of layoffs in tech companies, a paralegal investigates DoNotPay's AI claims and how the three big companies in video games are skipping E3 this year.See omnystudio.com/listener for privacy information.
If a robot can analyze mountains of caselaw in seconds, couldn't it also make the best legal arguments for a client? After all, AI already predicts markets, creates art, and writes music all the time. That's the premise put forth by the website DoNotPay, which typically uses its bots to fight traffic tickets and cancel unwanted subscriptions. But their latest marketing stunt is offering $1 million to anyone who would let their AI argue a case in front of the U.S. Supreme Court. To help us understand if that's even possible, Paul Singer returns to 2G1P to discuss the ethics of bringing an AI into a courtroom. He's a partner at the firm Kelley Drye & Warren LLP and a former Texas deputy attorney general, and has spent much of his career focused on consumer protection with regard to emerging technologies. Paul, Alli and Lindsey discuss the philosophical implications of employing AI tools in the practice of law, and whether lawyers are at risk of losing work to bots in the foreseeable future. Support 2G1P on Patreon! https://www.patreon.com/2G1P Join the 2G1P Discord community: http://discord.gg/2g1p Join the 2G1P Facebook Group: https://www.facebook.com/groups/2girls1podcast/ Email us: 2G1Podcast@gmail.com Call the show and leave a message! (347) 871-6548 Learn more about your ad choices. Visit megaphone.fm/adchoices
An academic publisher says that it will not publish academic papers written by ChatGPT. Futurism uncovers more problems with CNET's use of AI to write articles. India pressures Twitter and Google to censor a BBC documentary. And researchers in Hong Kong show off a cool melting robot!See omnystudio.com/listener for privacy information.
Mishaal Rahman joins the show to talk about some of the changes Google is making to its Android business in India after some antitrust directives in the country. Amanda Silberling from TechCrunch shares details from the Senate hearing with Ticketmaster following the ticketing fiasco with Ticketmaster and Taylor Swift. Jason showcases a director's AI-generated stills of a fake 80's sci-fi horror film and how the director received backlash following this. Finally, Mikah shares some updates on the DoNotPay service and how it's pivoting away from putting "a robot in court." Hosts: Jason Howell and Mikah Sargent Guests: Mishaal Rahman and Amanda Silberling Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit expressvpn.com/tnw ZipRecruiter.com/tnw
Mishaal Rahman joins the show to talk about some of the changes Google is making to its Android business in India after some antitrust directives in the country. Amanda Silberling from TechCrunch shares details from the Senate hearing with Ticketmaster following the ticketing fiasco with Ticketmaster and Taylor Swift. Jason showcases a director's AI-generated stills of a fake 80's sci-fi horror film and how the director received backlash following this. Finally, Mikah shares some updates on the DoNotPay service and how it's pivoting away from putting "a robot in court." Hosts: Jason Howell and Mikah Sargent Guests: Mishaal Rahman and Amanda Silberling Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit expressvpn.com/tnw ZipRecruiter.com/tnw
Mishaal Rahman joins the show to talk about some of the changes Google is making to its Android business in India after some antitrust directives in the country. Amanda Silberling from TechCrunch shares details from the Senate hearing with Ticketmaster following the ticketing fiasco with Ticketmaster and Taylor Swift. Jason showcases a director's AI-generated stills of a fake 80's sci-fi horror film and how the director received backlash following this. Finally, Mikah shares some updates on the DoNotPay service and how it's pivoting away from putting "a robot in court." Hosts: Jason Howell and Mikah Sargent Guests: Mishaal Rahman and Amanda Silberling Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit expressvpn.com/tnw ZipRecruiter.com/tnw
Mishaal Rahman joins the show to talk about some of the changes Google is making to its Android business in India after some antitrust directives in the country. Amanda Silberling from TechCrunch shares details from the Senate hearing with Ticketmaster following the ticketing fiasco with Ticketmaster and Taylor Swift. Jason showcases a director's AI-generated stills of a fake 80's sci-fi horror film and how the director received backlash following this. Finally, Mikah shares some updates on the DoNotPay service and how it's pivoting away from putting "a robot in court." Hosts: Jason Howell and Mikah Sargent Guests: Mishaal Rahman and Amanda Silberling Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: plextrac.com/twit expressvpn.com/tnw ZipRecruiter.com/tnw
Andy and Dave discuss the latest in AI and autonomy news and research, including a report from Human Center AI that assesses progress (or lack thereof) of the implementation of the three pillars of America's strategy for AI innovation. The Department of Energy is offering up a total of $33M for research in leveraging AI/ML for nuclear fusion. China's Navy appears to have launched a naval mothership for aerial drones. China is also set to introduce regulation on “deepfakes,” requiring users to give consent and prohibiting the technology for fake news, among many other things. Xiamen University and other researchers publish a “multidisciplinary open peer review dataset” (MOPRD), aiming to provide ways to automate the peer review process. Google executives issue a “code red” for Google's search business over the success of OpenAI's ChatGPT. New York City schools have blocked access for students and teachers to ChatGPT unless it involves the study of the technology itself. Microsoft plans to launch a version of Bing that integrates ChatGPT to its answers. And the International Conference on Machine Learning bans authors from using AI tools like ChatGPT to write scientific papers (though still allows the use of such systems to “polish” writing). In February, an AI from DoNotPay will likely be the first to represent a defendant in court, telling the defendant what to say and when. In research, the UCLA Departments of Psychology and Statistics demonstrate that analogical reasoning can emerge from large language models such as GPT-3, showing a strong capacity for abstract pattern induction. Research from Google Research, Stanford, Chapel Hill, and DeepMind shows that certain abilities only emerge from large language models that have a certain number of parameters and a large enough dataset. And finally, John H. Miller publishes Ex Machina through the Santa Fe Institute Press, examining the topic of Coevolving Machines and the Origins of the Social Universe. https://www.cna.org/our-media/podcasts/ai-with-ai
In this week's episode I talk about a company called "Do Not Pay" who have created an AI to help represent a defendant in a court case. --- Send in a voice message: https://anchor.fm/darren-manfield/message
First up, J+M cover the problems at Slack and Salesforce (3:00), before breaking down the anti-competitive issues with bundling software to harm competitors. (13:34) Then, they talk about the comeuppance from "A-players" regarding the lack of efficiency in big tech (26:35), a 10-month jail sentence for crypto inside trading (39:52), and DoNotPay's AI-based robo-lawyer taking a case! (51:14) (0:00) J+M tee up today's topics! (3:00) Breaking down the recent rift between Slack and Salesforce (12:00) AgeTech Collaborative - Find out more and apply at https://agetechcollaborative.org/twist (13:34) Issues with bundling, did Salesforce overpay for Slack? (25:00) AgeTech Collaborative - Find out more and apply at https://agetechcollaborative.org/twist (26:35) Lack of efficiency as a lightning rod at big tech companies, management styles (38:22) Nutrisense - Use code TWIST and get $30 off at nutrisense.io/twist (39:52) The brother of a former Coinbase PM was sentenced to 10 months in prison for using tips from his brother to make $900K (51:14) DoNotPay's robo-lawyer will be used in a court case, OpenAI will pilot a paid version of ChatGPT (1:06:51) Jason ends with an emotional video from Ke Huy Quan's Golden Globes acceptance speech FOLLOW Jason: https://linktr.ee/calacanis FOLLOW Molly: https://twitter.com/mollywood Subscribe to our YouTube to watch all full episodes: https://www.youtube.com/channel/UCkkhmBWfS7pILYIk0izkc3A?sub_confirmation=1
We explain all the latest TV tech trends from CES, DoNotPay's Joshua Browder will test out an algorithmic system for defendants in a real-life court setting, and the number of states offering the option of digital license plates grows. Starring Tom Merritt, Patrick Norton, Robert Heron, Roger Chang, Joe, Amos To read the show notes in a separate page click here! Support the show on Patreon by becoming a supporter!!
Greg Abbot handed President Biden a letter during the latter's visit to the border. Jim Jordan is the Judiciary Committee Chairman, and will chair the House's newly formed subcommittee designed to probe the "weaponization" of the federal government. Joshua Browder, CEO of DoNotPay, wants his AI to argue in front of the Supreme Court of the United States. And he is offering $1M to the attorney that brings the case and acts as a meatsuit. Law and Legitimacy is live every day at 7:45a EST on https://rumble.com/user/LawandLegitimacy Support us: - Locals: https://lawandlegitimacy.locals.com/ - Twitter: @PattisPodcast, @PattisNorm, and @MichaelBoyer_ Subscribe on Apple Podcasts, Google Play, Audible, Spotify, or wherever you receive podcasts and rate LAL 5 stars. Subscribe here on our Rumble channel, give us a Rumble, and join our active community of free-thinkers, contrarians, and the unafraid on Locals!
We explain all the latest TV tech trends from CES, DoNotPay's Joshua Browder will test out an algorithmic system for defendants in a real-life court setting, and the number of states offering the option of digital license plates grows.Starring Tom Merritt, Patrick Norton, Robert Heron, Roger Chang, Joe.Link to the Show Notes. Become a member at https://plus.acast.com/s/dtns. Hosted on Acast. See acast.com/privacy for more information.
Joshua Browder of DoNotPay.com has the world's first AI lawyer that can allow you to negotiate your bills. He stops by to talk about it. Mark Spoonauer of Tom's Guide joins the show to talk about Apple's rumored decision to open its long-closed ecosystem App Store and how Apple seeks to keep things safe and secure if they open things up to more third-party support. Mikah talks about Instagram launching a new tool to help hacked users regain their account access. Finally, Jason talks about Google Nest and Android devices finally being Matter compatible. Hosts: Jason Howell and Mikah Sargent Guests: Joshua Browder and Mark Spoonauer Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: Code Comments CDW.com/DellClient
Joshua Browder of DoNotPay.com has the world's first AI lawyer that can allow you to negotiate your bills. He stops by to talk about it. Mark Spoonauer of Tom's Guide joins the show to talk about Apple's rumored decision to open its long-closed ecosystem App Store and how Apple seeks to keep things safe and secure if they open things up to more third-party support. Mikah talks about Instagram launching a new tool to help hacked users regain their account access. Finally, Jason talks about Google Nest and Android devices finally being Matter compatible. Hosts: Jason Howell and Mikah Sargent Guests: Joshua Browder and Mark Spoonauer Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: Code Comments CDW.com/DellClient
Joshua Browder of DoNotPay.com has the world's first AI lawyer that can allow you to negotiate your bills. He stops by to talk about it. Mark Spoonauer of Tom's Guide joins the show to talk about Apple's rumored decision to open its long-closed ecosystem App Store and how Apple seeks to keep things safe and secure if they open things up to more third-party support. Mikah talks about Instagram launching a new tool to help hacked users regain their account access. Finally, Jason talks about Google Nest and Android devices finally being Matter compatible. Hosts: Jason Howell and Mikah Sargent Guests: Joshua Browder and Mark Spoonauer Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: Code Comments CDW.com/DellClient
© 2020-2025 Ivy Podcast Discovery LLC
