Podcasts about All Hands

Today's broadcast is C1E96 for Theme Thursday, June 26th, 2025 (happy 27th "dating" anniversary to my dear wife, St. Jodee). Today's theme is a collection of music from games in my own personal Steam Library – planned, curated, produced, and distributed entirely on/from the Steam Deck (SteamOS desktop mode)! A collection dominated by music from indie games from the 2010's and 2020's and peppered with music from bigger-named games from the 1990's and 2000's and contains not one, but TWO chill zones, which collectively account for almost half of the mixtape runtime! Special thanks to Professor Tom from Shujin Acadamy VGM Club podcast for helping me settle on episode title. Other candidate titles I'd been considering included "Gimme Steam" (which was the working title), "Steam Punk", and "All Hands on Deck". Lastly, this is our debut episode on Terra Player!    SKIP STRAIGHT TO THE MUSIC TIMESTAMP: 00:07:22     Tracklist:     Track# - Track - Game (System is always presumed to be PC for this episode) - Composer(s) - Timestamp     A1) Intro - 00:00:00     01) Main Theme - Mr. Run and Jump - Fat Bard and/or Andrew P. Masson - 00:07:22     02) Blackout City - Bit Trip Runner - Petrified Productions - 00:09:24     03) Solace Tomorrow - ExZodiac - Ben Hickling - 00:12:44     04) Starry Sky - Toree 3D - Nash Music Library - 00:15:51     05) Southisland 2 - Fantavision 202 X - Soichi Terada - 00:18:07     06) Shame (aka “The Shameful Last Minute”) - EDGE - Romain Gauthier - 00:21:16     07) Syreen Theme - Star Control III - Andrew M. Frazier - 00:24:23     08) Analog Control Loop - Formula Retro Racing - John Williams - 00:27:14     09) UFO 50 - UFO 50 - Eirik Suhrke - 00:29:17     10) Hinterwald Dungeon Explore - Dungeons of Hinterberg - David Zahradnicek, and/or Markus Zahradnicek - 00:32:01     11) Control - Cloundpunk - Harry Critchley - 00:35:18     12) Blast Pit 1 - Black Mesa - Joel Nielsen - 00:37:29     13) The Nomai - The Outer Wilds - Andrew Prahlow - 00:39:14     14) Dream Town - Fallout 2 - Mark Morgan - 00:43:01     15) Earth - Lords of Magic - Keith Zizza - 00:46:12     16) grip - qomp - Britt Brady - 00:50:14     17) Returning the Flavour - Olli Olli World - Potatohead People - 00:52:45     18) Portabellahead - Crypt of the Necrodancer - Danny Baronowsky - 00:55:43     19) Delirious Acting - Pseudoregalia - potatoTero - 00:58:29     20) Relentless - Gunborg - Cato Hoeben - 01:00:27     21) Kurodabushi - Koi Koi Japan Hanafuda - Unknown - 01:03:21     22) Security Bridge - System Shock Classic - Greg LoPiccolo and/or Tim Ries - 01:04:50     23) Battle - Caveblazers - Paul Zimmerman - 01:08:02     24) Salt and Sepulcher - The Mummy Demastered - monomer - 01:09:55     25) Main Theme - Blade Assault - Planetboom and/or Creative Factory - 01:12:10     26) Main Theme - Fury Unleashed - Adam Skorupa and/or Krzysztof Wierzynkiewicz - 01:15:08     27) Witness Prevention Program - Killing Floor - Zynthetic - 01:17:21     28) The Audience Chamber - Elder Scrolls Arena - Eric Heberling - 01:20:08     29) Trademeet - Baldur's Gate II - Michael Hoenig - 01:21:46     30) Wayward Dreamers - Dreams of Aether - flashy goodness - 01:22:39     31) Save Room - Gato Roboto - Britt Brady - 01:25:30     32) Equanimity - Lucid9 - Breezee - 01:27:14     33) Pillar Gardens - In Other Waters - Amos Roddy - 01:31:40     34) Completely Safe - Deliver Us Mars - Sander Van Zanten - 01:36:02     35) Karst Pass - Even the Ocean - Melos Han-Tani - 01:39:34     36) Title Screen - Cubot - Kevin MacLeod - 01:44:33     37) Splash of Color - Flower - Vincent Diamante - 01:49:45     38) Beast Road - Touhou Mystia's Izakaya - Hannari and/or Can Shi - 01:58:56     39) Pra Me Lembrar Amanha - Before I Forget - Dave Tucker - 02:02:31     40) Candy Store Crush - Donut Dodo - Sean Bialo - 02:05:04     41) Toastopia - Pikuniku - Calem Bowen - 02:07:22     42) April Mountains - Lovely Planet 2: April Skies - Calem Bowen - 02:10:17     43) Clouds - Nidhogg - Daedalus - 02:12:47     44) Home - Retrowave - Resonance - 02:15:20     45) Battle Theme - Void Invaders - kingdaro - 02:18:43     B1) Outro - 02:21:58     Music Block Runtime: 02:14:43 / Total Episode Runtime: 02:34:01    Our Intro and Outro Music is Funky Radio, from Jet Grind Radio on the Sega Dreamcast, composed by BB Rights.    Produced using a nearly equal mix of Audacity and Ardour in SteamOS desktop mode on the Steam Deck! Recorded with a Shure SM7B XLR dynamic microphone on a RØDE PSA1+ boom arm through a Cloudlifter and a Focusrite 4i4 XLR-to-USB interface!    If you aren't already a listener of Shujin Acadamy VGM Club, please go show the good professor some love, and tell him St. John sent ya! You can find Shujin Acadamy on Terra Player, Instagram, Threads, Bluesky, Facebook, Mastodon, Podbean, or on your podcatcher of choice. Here's a link to his show on Terra Player and on Podbean:    https://terraplayer.com/shows/shujin-academy-vgm-club    https://shujinacademyvgmclub.podbean.com/    Speaking of Terra Player, we are now a member podcast as well. You can find us there at  https://terraplayer.com/shows/nerd-noise-radio. Also, check out their outstanding collection of other podcasts and radio stations at https://terraplayer.com/! From now on, when sharing episodes of Nerd Noise Radio, I will most likely use the Terra Player link rather than the Podbean link like I have been using.    You can also find all of our audio episodes on https://archive.org/details/@nerd_noise_radio as well as the occasional additional release only available there, such as remixes of previous releases and other content.    Our YouTube Channel, for the time being is in dormancy, but will be returning with content, hopefully, in 2022. Meanwhile, all the old stuff is still there, and can be found here:     https://www.youtube.com/user/NerdNoiseRadio    Occasional blogs and sometimes expanded show notes can be found here:    nerdnoiseradio.blogspot.com.    Nerd Noise Radio is also a member of the VGM Podcast Fans community at     https://www.facebook.com/groups/VGMPodcastFans/    We are also a member of Podcasters of Des Moines at https://www.facebook.com/groups/1782895868426870/    Or, if you wish to connect with us directly, we have two groups of our own:     Nerd Noise Radio - Easy Mode: https://www.facebook.com/groups/276843385859797/ for sharing tracks, video game news, or just general videogame fandom.    Nerd Noise Radio - Expert Mode: https://www.facebook.com/groups/381475162016534/ for going deep into video game sound hardware, composer info, and/or music theory.    Or you can reach us by e-mail at nerd.noise.radio@gmail.com    You can also follow us on Threads at https://www.threads.net/@nerdnoiseradio , Instagram at https://www.instagram.com/nerdnoiseradio?igsh=MWF4NjBpdGVxazUxYw== , Mastodon at https://universeodon.com/@NerdNoiseRadio , and BlueSky at  And we are also now on TuneIn, Pandora, iHeartRadio, Vurbl, Amazon Music and Audible!     But frankly, probably the absolute best way you can connect with us is on our new Discord Channel: "Nerd Noise Radio – Channel D", which includes various sub-channels for all sorts of different types of connection and conversation:     https://discord.gg/GUWdaXUw    Thanks for listening! Join us again in July for C1E97 (Channel 1, Episode 97): the Super Metroid soundtrack, part of a collaboration with Shujin Academy VGM Club, The Messenger Presents: A VGM Journey, and any other shows which wish to join us in lieu of an official Masters of VGM event this year - Delicious VGM on "Noise from the Hearts of Nerds"! And wherever you are - Fly the N!    Cheers! 

The IRS Rule That Could Save Your Early Retirement (No, Seriously)Burned out? Laid off? Can't sit through one more “All Hands” meeting where Todd from Accounting performs a spoken word about synergy? Honey, maybe it's time to retire early—even if you didn't plan to.This week on Queer Money®, we're spilling the retirement tea

In this exciting episode of All Hands on Tech, host Claire Quirion sits down with Ryan Sno-Wood from the Interactive Society of Nova Scotia (ISNS) to talk about the fast-growing world of game development in the province. From small indie teams to major collaborations with government and schools, the local gaming industry is expanding fast, and Ryan has a front-row seat.Ryan shares how ISNS is helping build a stronger, more connected community for game developers in Nova Scotia, and why the region is starting to catch the attention of international markets. Claire and Ryan also chat about the future of games, the impact of AI, and what it really takes to get started in the industry.

In this episode of All Hands on Tech, our host Claire Quirion sits down with Daphne North, Director of Product Marketing and Content at Dash Social, to explore the bold rebrand of Dash Hudson, and what it means for the future of creator marketing.Daphne shares her journey into the world of content and product marketing, offering a behind-the-scenes look at Dash Social's evolution and its mission to revolutionize how brands connect with creators. From the launch of their all-new Creator Management platform to the insights found in their latest industry report, Daphne explains how Dash Social is helping brands grow with content that resonates authentically, and at scale.Together, Claire and Daphne dive into how creator and influencer marketing has transformed in recent years, what brands need to know to stay ahead of algorithm changes, and the rising role of AI in content strategy. With practical advice for marketers just starting out and a glimpse into the exciting innovations on the horizon, this conversation is a must-listen for anyone looking to level up their brand storytelling and social media game.

In this episode of All Hands on Decks, Boomguy and Andyr discuss their experiences at the recent Marvel Champions con, focusing on the evolving trends in deck building, the impact of new cards, and the dynamics of multiplayer gameplay. They explore the noticeable decline in player side schemes, the underrepresentation of certain heroes like Nick Fury and Maria Hill, and the importance of damage output in multiplayer settings. The conversation also touches on the absence of team up cards and how players are adapting their strategies to enhance deck consistency and effectiveness. In this episode, the hosts delve into various Marvel Champions decks showcased at a recent convention, highlighting innovative strategies and community engagement. They discuss the clever use of Enhanced Awareness in resource management, the effectiveness of the Nightcrawler Injustice deck, and the unique playstyle of the Wildcard Iron Man deck. The conversation also explores a Colossus defense deck that emphasizes protection and the excitement of discovering new archetypes like alter ego only decks. The hosts celebrate the creativity of the community and encourage players to share their unique deck builds. Here are the decks we discussed: Phoenix Leadership (SDx) https://marvelcdb.com/decklist/view/49481/phoenix-soul-queens-are-here-to-slay-your-side-schemes-1.0 Nick Aggression (LazyTitan) https://marvelcdb.com/decklist/view/49689/overkill-em-1.0 Scarlet Witch Basic (Astrodar) https://marvelcdb.com/decklist/view/49375/witch-doctor-1.0 Nova Leadership (TheDailyStrugle) https://marvelcdb.com/decklist/view/48382/sam-s-lan-party-1.0 Justice Ms. Marvel - Spike https://marvelcdb.com/decklist/view/48069/3-4-player-burst-thwart-unthreatened-team-is-a-happy-team-1.0 Justice Tony Stark - Johnny https://marvelcdb.com/decklist/view/49445/tony-stark-director-of-s-h-i-e-l-d-1.0 Colossus Protection - Johnny https://marvelcdb.com/decklist/view/49334/nyet-1.0 Gambit Protection - Timmy https://marvelcdb.com/decklist/view/49305/fortune-favors-the-shy-coh25-3.0 Ghost-Spider Leadership - Johnny https://marvelcdb.com/decklist/view/44333/started-my-own-band-with-a-few-old-friends-you-want-in-1.0   Chapters 00:00 Post-Con Reflections and Deck Trends 02:53 Player Side Schemes: A Shift in Strategy 05:49 The Role of Allies: Nick Fury and Maria Hill 08:56 Deck Consistency and Gameplay Dynamics 11:46 The Evolution of Deck Building: Beyond Aspects 14:49 Team Up Cards: Missed Opportunities 17:45 Support Decks and Command Team Strategies 20:49 Voltron Strategies and Standout Decks 28:20 Deck Consistency and Trends 30:14 The Importance of Damage in Multiplayer 35:53 Underrepresented Heroes at the Con 39:01 Innovative Deck Strategies 48:22 The Alter Ego Iron Man Deck 55:33 Colossus: A Defense Deck for the Table 59:48 Deck Building Insights 01:00:15 Exploring Other Players' Decks 01:01:11 The Basic Witch Deck Breakdown 01:04:04 Overkillem: A Damage-Focused Deck 01:08:23 The Shy Deck: A New Legend Emerges 01:13:42 Nova Leadership: Ally Heavy Strategy 01:18:32 Ms. Marvel Justice: Thwarting Everything

Hi, and welcome to The Long View. I'm Dan Lefkovitz, strategist for Morningstar Indexes. Our guest this week is Arunma Oteh, currently of the University of Oxford Saïd Business School. Arunma is a former treasurer of the World Bank and also served in various leadership roles in the African Development Bank. In 2010, she became Director General of Nigeria Securities and Exchange Commission, and she led that apex regulator for several years following the global financial crisis. She writes about the experience in the recently published book All Hands on Deck: Unleash Prosperity Through World Class Capital Markets. Arunma is a graduate of the University of Nigeria, UNN Nsukka, and Harvard Business School.BackgroundBioAll Hands on Deck: Unleash Prosperity Through World Class Capital MarketsNigeria's “Iron Lady”“Nigeria's Iron Lady Takes on Fraudsters,” by Caroline Duffield, bbc.com, July 1, 2010.“Changing the World One Bond at a Time,” Rita Stankeviciute and Kathleen Manahan, worldbank.org, July 18, 2018.“Nigeria SEC Boss, Arunma Oteh, Fights Back,” YouTube video, March 15, 2012.OtherSecurities and Exchange Commission, NigeriaNigerian Exchange Group NGXFMDQ Group“A Tale of 2 Exchanges: As FMDQ Thrives NGX Plays Catch Up,” by Bala Augie, moneycentral.com, Oct. 2, 2021.

In this heartfelt and inspiring episode of All Hands on Tech, host Eilish Bonang-Smith speaks with Ashley MacInnis, founder of AMPR, a communications and PR consulting firm built on the power of strategic storytelling. Ashley shares her journey from being laid off while pregnant to launching her own business, and how that leap of faith became the foundation for a career centred on helping others show up authentically across platforms.Ashley opens up about the challenges and triumphs of entrepreneurship, offering a candid look at what it means to grow a business while raising a young family. From working at the rink during hockey games to taking client calls during nap time, her story is a relatable and powerful example of balancing ambition with the realities of parenting.Throughout the episode, she reflects on her values—authenticity, resilience, and community—and how they guide her approach to both life and work. Her passion for storytelling is clear, and she explains how helping clients connect with their audiences through meaningful narratives is what fuels her work at AMPR. She also shares new directions for her business, including a growing focus on digital ads and a forthcoming book designed to help small businesses take control of their own communications.This conversation is a must-listen for entrepreneurs, creatives, and anyone navigating the winding path of career and family life. Ashley's perspective is honest, encouraging, and a reminder that success doesn't always follow a straight line. Tune in to hear why she believes the best stories—the ones worth telling—often start in the most unexpected ways.Learn more about amPR Inc: https://ampr.co/Visit Digital Nova Scotia: https://digitalnovascotia.com/

All Hands on Dick, oops we mean deck! Between Brandon’s balls, Steve’s coxswain, and Dick’s big boat…this episode goes from nautical to naughty real fast! Aside from the usual adultery and drama, Tori talks about the cast member with major ALPHA energy, and Jennie reveals the former co-star who wore a Winnie the Pooh onesie to work. Plus, the roommate who is done with Dick (Harrison) once and for all! Don’t say we didn't warn you!See omnystudio.com/listener for privacy information.

Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it means to build software in the era of AI agents. Whether you're coding from your laptop or your phone on a morning walk, the future is hands-free (and All Hands).Featuring:Robert Brennan – LinkedIn, XGraham Neubig – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:All HandsAll Hands on GitHubAll Hands on Hugging Face 

What if the real reason your team isn't thriving isn't them—it's you? In this episode, Ashok sits down with Sel Watts, founder of Wattsnext and a trusted advisor to growth-stage executives, to talk about the blind spots that derail team performance. Sel shares why leaders often overengineer HR systems while neglecting the basic needs of their people—and why getting back to the fundamentals starts with brutal self-honesty. They explore why traditional job descriptions are outdated, how to rethink role clarity using "outcome profiles," and why consistency beats charisma when it comes to leadership. Sel also shares candid stories from the field—including one about a CEO who had zero emotional intelligence but ran a surprisingly stable company—and explains how tools like behavioral profiling can be powerful when used correctly (and not just shelved after a team offsite). Inside the episode Why leadership starts with self-awareness, not structure The “outcome profile” approach to defining roles clearly How to tell if someone's actually underperforming—or just misaligned What happens when leaders care more about process than people The surprising upsides of being consistent, even if you're not "warm" Why behavioral profiling tools are often wasted One-on-ones, All Hands, and rituals that only work when leaders believe in them Rethinking hiring decisions by starting with the org chart, not the title The cost of skipping reflection before replacing a team member A real-world example of a team where mutual accountability actually works   Mentioned in this episode Wattsnextpx - https://www.wattsnextpx.com Extended DISC - https://www.extendeddisc.org/ AcuMax - https://www.acumaxindex.com/ Myers-Briggs - https://www.themyersbriggs.com/en-US/Products-and-Services/Myers-Briggs Predictive Index - https://www.predictiveindex.com/ Entrepreneurs' Organisation (EO) - https://eonetwork.org/ Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence

In this captivating episode of All Hands on Tech, host Eilish Bonang sits down with Amy Harrison, founder of Pixels and Pieces, for an inspiring conversation that goes beyond traditional design and business storytelling.With over 20 years of experience in print and digital design, Amy has transformed her neurodivergent challenges into her greatest strengths. From a childhood reading at advanced levels to a later-in-life ADHD diagnosis, Amy's journey is a testament to embracing one's unique way of thinking and working.Listeners will step into Amy's world, where branding is more than colours and logos – it's about communication, psychology, and empowering entrepreneurs to tell their authentic stories. She shares insights into her work with government organizations and startups, along with her approach to design that goes beyond aesthetics.But this episode is more than a business masterclass. It's a personal exploration of finding your path, understanding your strengths, and building a life and career that truly works for you. Whether you're an aspiring entrepreneur, a design enthusiast, or someone navigating neurodiversity, Amy's story offers inspiration, practical advice, and a refreshing perspective on success.Bonus? She's also a drummer in a samba band, proving that creativity knows no bounds.Don't miss this powerful conversation that will challenge your perceptions and ignite your entrepreneurial spirit. Tune in to discover how one woman is redesigning the rules of business, one pixel at a time! Learn more about Pixels & Pieces: https://pixelsandpieces.ca/Visit Digital Nova Scotia: https://digitalnovascotia.com/

In this episode of Alter Everything, we talk with Ian Barkin and Tom Davenport, authors of 'All Hands On Tech: The AI-Powered Citizen Revolution.' They discuss their motivations for writing the book, the emerging role of citizen developers, and the democratization of data science and AI. Themes include the evolution of low-code/no-code tools, the importance of governance in deploying AI, and future implications of generative AI in citizen development. Listeners are encouraged to register for the Alteryx Inspire 2025 conference and can access free chapters of the book via the show's website.Panelists:Tom Davenport, Distinguished Professor @ Babson College - LinkedInIan Barkin, Founding Partner @ 2BVentures - LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Two FREE chapters of All Hands on Tech: The AI-Powered Citizen RevolutionAll Hands on Tech: The AI-Powered Citizen Revolution Full BookInspire breakout session catalog Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music and Mike Cusic for the for our album artwork.

All Hands on Deck. Punk Rock Factory guitar nerds, silly sausages and viral TikTok stars, Peej Edwards and Ryan Steadman, are our guests on Episode 330 of Sappenin' Podcast! Your algorithms favourite covers band, invited us into their studio, to unleash exclusive secrets on their Disney vs Emo structure, industry loopholes and why this isn't just some gimmick. In this conversation, Peej and Steadman open up on their unique formula of transforming film soundtracks, pop anthems and the most random hits of yesteryear, internet backlash vs building a community, how this project started, coming from individual backgrounds in South Wales 2000's metal bands, helping families bound over music, live show madness, finding the original Milky Way kid, having the ultimate praise from Bowling For Soup, Papa Roach and B*Witched, weird magazine posters, scene jealousy, embracing their meme attitude, the best TV themes, Moana mosh pits, calling out The Rock and more! Turn it up and join Sean and Morgan to find out Sappenin' this week!Follow us on Social Media:Twitter: @sappeninpodInstagram: @sappeninpodSpecial thank you to our Sappenin' Podcast Patreons:Join the Sappenin' Podcast Community: Patreon.com/Sappenin.Kylie Wheeler, Janelle Caston, Paul Hirschfield, Tony Michael, Scarlet Charlton, Dilly Grimwood, Mitch Perry, Nathan Crawshaw, Molly Molloy, James Bowerbank, Amee Louise, Kat Bessant, Kieran Lewis, Alexandra Pemblington, Jonathan Gutierrez, Jenni Robinson, Stuart McNaught, Jenni Munster, Louis Cook, Carl Pendlebury, James Mcnaught, Martina McManus, Jason Heredia, John&Emma, Danny Eaton, RahRah James, Sian Foynes, Evan, Ollie Amesbury, Dan Peregreen, Emily Perry, Kalila Keane, Adam Parslow, Josh Crisp, Vicki Henshaw, Laura Russell, Fraser Cummings, Sophie Ansell, Kyle Smith, Connor Lewins, Billy Hunter, Harry Radford, George Evans, Em Evans Roberts, Thomas O'Neill, Sinead O'Halloran, Kael Braham, Jade Austin, Charlie Wood, Aurora Winchester, Jordan Harris, James Page, Georgie Hopkinson, Helen Anyetta, John Wilson, Lisa Sullivan, Ayla Emo, Kelly Young, Jennifer Dean, Tj Ambler-Shattock, Chaz Howkins, Michael Snowden, Justine Baddeley, David Winchurch, Jim Farrell, Scott Evans, Andrew Simpson, Shaun Croucher, Lewis Sluman, Ellie Gowers, Luke Wardle, Grazyna McGroarty, Nathan Matheson, Matt Roberts, Joshua Lewis, Erin Howard,, Chris Harris, Lucy Neill, Amy Thomas, Jessie Hellier, Stevie Burke, Robert Pike, Anthony Matthews, Samantha Neville, Sarah Maher, Owen Davies, Bethan Downing, Jessica Tiernan, Danielle Oldershaw, Samantha Bowen, Ruby Price, Jule Ferl, Alice Wood, Billy Parmiter, Emma Musgrave, Rhian Friggens, Hannah Kenyon, Patrick Floyd, Hayley Taylor, Loz Sanchez, Cerys Andrews, Dan Johnson, Eva B, Emma Barber, Helen Macbeth, Melissa Mercury, Joshua Ryan, Cate Stevenson, Emily Moorhouse, Jacob Turner, Madeleine Inez, Robert Byrne, Christopher Goldring, Chris Lincoln, Beth Gayler, Lesley Dargie-Walker, Sabina Grosch, Tom Hylands, Andrew Keech, Kerry Beckett, Leanne Gerrard, Ieuan Wheeler, Hannah Rachael, Gemma Graham, Andy Wastell, Jay Smith, Nuala Clark, Liam Connolly, Lavender Martin, Lloyd Pinder, Ghostly Grimoire, Amy Hogg.Diolch and Thank You x Get bonus content on Patreon Hosted on Acast. See acast.com/privacy for more information.

In this episode of All Hands on Tech, host Eilish Bonang sits down with David Fraser, one of Canada's leading privacy and technology lawyers, to explore the evolving landscape of cybersecurity, privacy laws, and artificial intelligence regulation. As a partner at McInnes Cooper and a long-standing board member of Digital Nova Scotia, David shares his expertise on the challenges and opportunities facing businesses in today's digital world.Throughout the conversation, David discusses how new technologies bring new legal questions, why privacy and security should be built into tech products from day one, and the importance of aligning Canadian regulations with global standards. He also dives into the rise of AI, its regulatory uncertainty, and the ongoing privacy investigation into OpenAI.Cyber threats are another major focus, with David offering insights into how businesses can prepare for data breaches and ransomware attacks. He stresses that cyber incidents aren't a matter of "if" but "when," and emphasizes the need for companies to have strong incident response plans in place.Beyond privacy law, David also shares his passion for technology, social media, and digital education, including his YouTube channel, where he breaks down complex legal topics for a global audience. He reflects on his journey into tech law, his commitment to supporting Nova Scotia's tech sector, and why local businesses should think globally when developing new products.Whether you're a tech entrepreneur, business leader, or just curious about the future of digital privacy, this episode offers valuable insights on navigating the intersection of law, innovation, and cybersecurity.Learn more about David Fraser: https://www.mcinnescooper.com/people/david-fraser/Visit Digital Nova Scotia: https://digitalnovascotia.com/

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM FULL SHOW NOTES https://www.microsoftinnovationpodcast.com/665 Stevie Sims shares his journey from chemical plant operator to lead Power Platform developer at Shell, demonstrating how business expertise combined with low-code tools can transform organizations.TAKEAWAYS• Started career in operations, climbing towers and turning valves before discovering Excel• Hurricane Ida became a pivotal moment when he built a Power BI dashboard to manage recovery• Transitioned from citizen developer to fusion team member building complex apps and automations• Believes companies should encourage operational experts to upskill with technical tools• Emphasizes the importance of business knowledge when developing technical solutions• Advocates for "ring-fencing" talented citizen developers for focused development periods• Prevents duplicate development efforts through idea triage and solution sharing• Featured in new book "All Hands on Tech: AI-Powered Citizen Developer Revolution"Check out "All Hands on Tech" by Ian Barkin and Tom Davenport, featuring Steve's story and other inspiring examples from the low-code no-code space.This year we're adding a new show to our line up - The AI Advantage. We'll discuss the skills you need to thrive in an AI-enabled world. DynamicsMinds is a world-class event in Slovenia that brings together Microsoft product managers, industry leaders, and dedicated users to explore the latest in Microsoft Dynamics 365, the Power Platform, and Copilot.Early bird tickets are on sale now and listeners of the Microsoft Innovation Podcast get 10% off with the code MIPVIP144bff https://www.dynamicsminds.com/register/?voucher=MIPVIP144bff Accelerate your Microsoft career with the 90 Day Mentoring Challenge We've helped 1,300+ people across 70+ countries establish successful careers in the Microsoft Power Platform and Dynamics 365 ecosystem.Benefit from expert guidance, a supportive community, and a clear career roadmap. A lot can change in 90 days, get started today!Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Today on BOLD STEPS, Pastor Mark Jobe reveals what happens when persistent faith meets creative problem-solving. We’re continuing our series called All Hands on Deck with a powerful lesson about persistence and creative faith. It's a story about four friends who were so determined to get their paralyzed companion to Jesus, that they wouldn't take no for an answer … even when a crowd of religious leaders stood in their way. What happened next would not only change their friend's life forever but also teaches us an unforgettable lesson about what it means to truly bring others into God's presence. Bold Step Gift: Building Love In Blended FamiliesBecome a Bold Partner: http://moodyradio.org/donateto/boldsteps/partnersSee omnystudio.com/listener for privacy information.

Today on BOLD STEPS, Pastor Mark Jobe has a wakeup call for believers, to be on the lookout for God’s movement. We’re beginning a new short series about a really powerful subject … joining the movement of God. There are special moments in our lives when God makes it clear that it's time to move … time to act. In Scripture there's this powerful concept called "kairos" – it's a Greek word that describes a specific moment in time when God is doing something unique. It's not just another day on the calendar ... it's a divine appointment. And it calls for All Hands on Deck. Bold Step Gift: Building Love In Blended FamiliesBecome a Bold Partner: http://moodyradio.org/donateto/boldsteps/partnersSee omnystudio.com/listener for privacy information.

The guys sit down and have a chat about the busy winter, and anything else that comes to mind...Music Credit: Rev Theory

In this episode of All Hands on Decks, Boomguy and Andy R discuss two decks from Marvel CDB, focusing on a Domino leadership deck and a Friendly Neighborhood Spider-Man deck. They explore the mechanics, strategies, and potential improvements for each deck, emphasizing the importance of deck themes and player experience. We also highlight the fun and complexity of deck building in Marvel CDB, while also teasing future episodes where they will build their own decks together. How come I'm the only one popping my posse up in here: https://marvelcdb.com/decklist/view/45547/how-come-i-m-the-only-one-popping-my-posse-up-in-here-1.0 Friendly Neighborhood Spider-Man: https://marvelcdb.com/decklist/view/45545/friendly-neighborhood-spider-man-1.0 Chapters 00:00 Introduction and Deck Themes 04:49 Reviewing the Domino Leadership Deck 12:58 Exploring the Friendly Neighborhood Spider-Man Deck 27:02 Conclusion and Future Deck Building Plans

What happened at the World Economic Forum's Annual Meeting 2025, where the world met to discuss 'Collaboration for the Intelligent Age'? On Day 1, Donald Trump was inaugurated for his second term as US president, and announced he was withdrawing from the Paris climate deal, as well as the World Health Organisation, and vowed to use trade tariffs to re-shore jobs. On Day 4 he addressed the meeting in a link-up from Washington. We hear some of that and talk to the people who lead the Forum's work throughout the year, reflect on the impact of the meeting, held at a pivotal moment for world affairs. Catch up on all the action from the Annual Meeting 2025 at wef.ch/wef25 and across social media using the hashtag #WEF25. Davos 2025 sessions mentioned in this episode: Special address by Donald J. Trump, President of the United States of America: https://www.weforum.org/stories/2025/01/davos-2025-special-address-donald-trump-president-united-states/ All Hands on Deck for the Energy Transition: https://www.weforum.org/meetings/world-economic-forum-annual-meeting-2025/sessions/all-hands-on-deck-for-the-energy-transition/ The Dawn of Artificial General Intelligence?: https://www.weforum.org/meetings/world-economic-forum-annual-meeting-2025/sessions/the-dawn-of-artificial-general-intelligence/ Debating Tariffs: https://www.weforum.org/meetings/world-economic-forum-annual-meeting-2025/sessions/debating-tariffs/ Forum reports and initiatives mentioned in this episode: Chief Economists Outlook: January 2025: https://www.weforum.org/publications/chief-economists-outlook-january-2025/ Global Risks Report 2025: https://www.weforum.org/publications/global-risks-report-2025/ The Future of Jobs Report 2025: https://www.weforum.org/publications/the-future-of-jobs-report-2025/ Global Cybersecurity Outlook 2025: https://www.weforum.org/publications/global-cybersecurity-outlook-2025/ First Movers Coalition: https://initiatives.weforum.org/first-movers-coalition/home 1t.org: https://www.1t.org/ AI Governance Alliance: https://initiatives.weforum.org/ai-governance-alliance/home AI Competitiveness through Regional Collaboration: https://initiatives.weforum.org/ai-governance-alliance/aicompetitive Global Lighthouse Network: https://initiatives.weforum.org/global-lighthouse-network/home Yes/Cities: https://initiatives.weforum.org/alliance-for-urban-innovation/yes-cities Related podcasts: Global Risks Report: the big issues facing the world at Davos 2025: https://www.weforum.org/podcasts/radio-davos/episodes/global-risks-report-2025/ The global economy 'at a crossroads' ahead of Davos: Chief Economists Outlook: https://www.weforum.org/podcasts/radio-davos/episodes/chief-economists-outlook-ralph-ossa-wto/ Global Cybersecurity Outlook 2025: the risks we all face and how to fight back: https://www.weforum.org/podcasts/radio-davos/episodes/cybersecurity-outlook-2025/ IMF's Gita Gopinath: What's ahead for economic growth in 2025: https://www.weforum.org/podcasts/meet-the-leader/episodes/gita-gopinath-imf-economic-outlook/ Check out all our podcasts on wef.ch/podcasts:  YouTube: - https://www.youtube.com/@wef/podcasts Radio Davos - subscribe: https://pod.link/1504682164 Meet the Leader - subscribe: https://pod.link/15§ 34915560 Agenda Dialogues - subscribe: https://pod.link/1574956552 Join the World Economic Forum Podcast Club: https://www.facebook.com/groups/wefpodcastclub  

Wed, 29 Jan 2025 18:00:00 GMT http://relay.fm/clockwise/590 http://relay.fm/clockwise/590 All Hands on Face 590 Dan Moren and Mikah Sargent The how often we use our non-default smartphone cameras, the tech or techniques we use to stay focused at work, where we buy and read ebooks and whether supporting indie bookstores appeals to us, and our least favorite thing to troubleshoot. The how often we use our non-default smartphone cameras, the tech or techniques we use to stay focused at work, where we buy and read ebooks and whether supporting indie bookstores appeals to us, and our least favorite thing to troubleshoot. clean 1799 The how often we use our non-default smartphone cameras, the tech or techniques we use to stay focused at work, where we buy and read ebooks and whether supporting indie bookstores appeals to us, and our least favorite thing to troubleshoot. This episode of Clockwise is sponsored by: Vitally: A new era for customer success productivity. Get a free pair of AirPods Pro when you book a qualified meeting. Guest Starring: mb bischoff and Jason Howell Links and Show Notes: Support Clockwise with a Relay FM Membership

In this episode of All Hands on Decks, Boomguy and Andyr delve into the world of deck building in Marvel Champions with Reddit-submitted decks. They explore the Chitinous Wasp deck, discussing its strategies and card choices, before moving on to the Ant in the Pool deck, which emphasizes resource management and Pool synergy. We also discuss the limitations of the 'Pool aspect in deck-building and the challenges it presents. Chitinous Wasp: https://marvelcdb.com/decklist/view/44949/chitinous-wasp-1.0 Ant in the Pool: https://marvelcdb.com/decklist/view/45051/ant-in-the-pool-1.0 Chapters 00:00 Introduction to Deck Building and Community Engagement 03:01 Exploring the Chitinous Wasp Deck 11:53 Analyzing the Ant-Man Deck 23:58 Discussion on Pool Limitations and Deck Strategies 31:54 Conclusion and Final Thoughts

TVC 674.3: Pat Boone talks to Ed about working with Shirley Jones in April Love, with Ann-Margret in State Fair, and with Barbara Eden in All Hands on Deck. Pat can currently be seen in Reagan and Miracle in the Valley, both of which are available now for viewing on demand through Amazon Prime, while Pat's latest movies, Our Crossroads and The American Miracle, are both scheduled for release later in 2025.

Welcome to Bethany Community Church! Our mission is to help people begin and grow in a relationship with Jesus Christ. For more information on our ministry, please visit our website at www.bethanylaurel.org. We pray that you enjoy this worship experience.This week, Pastor Nate continues the All Hands on Deck series by reminding us that God will keep us in the storms that we face.If you would like to sow into our ministry you can do so at www.bethanylaurel.org/give, via our app, or by texting “BCCGIVE” to 888-364-4483.New WineCCLI #7102397 | Brooke Ligertwood© 2017O Come To The AltarCCLI #7051511 | Christopher Brown, Mack Brock, Steven Furtick, and Wade Joye© 2015

In this episode of All Hands on Deck, Boomguy and Andyr discuss the Impede card, its effectiveness, and its place in various deck archetypes. They break down two specific decks featuring Ms. Marvel, exploring their strategies and synergies. The conversation also touches on the importance of deck building for new players and the potential for collaborative gameplay videos in the future. Here is the Impede deck that started this conversation: https://marvelcdb.com/decklist/view/45086/doctor-icelove-3.0 Andy's Deck: https://marvelcdb.com/decklist/view/41703/ms-marvel-thwarts-and-all-1.0 Boomguy's Deck: https://marvelcdb.com/decklist/view/36600/n00b-support-system-1.0 This deck is meant to work together with this deck: https://marvelcdb.com/decklist/view/36599/learning-to-crawl-1.0 Chapters 00:00 Introduction and Overview of Impede 02:03 Deep Dive into Impede's Effectiveness 05:03 Deck Breakdown: Ms. Marvel Thwarts and All 07:59 Deck Breakdown: Noob Support System 10:55 Comparative Analysis of Decks 14:08 Final Thoughts and Future Plans  

We hear your DM's every weekday at 6:40 & 7:40am. Today’s DM Disaster is All Hands, Jason couldn't take his eyes off this one guy while he was on a date, the guy was buttering his bread with his hands, also drank his soup right out of the bowl. It was such a trainwreck Jason couldn't pay attention to his date which ended badly. That's Jason's DM Disaster. All this and more on the ROR Morning Show with Bob Bronson and LBF Podcast. Find more great podcasts at bPodStudios.com…The Place To Be For Podcast Discovery

Hey y'all! Join us as we discuss the My Hero Academia episode "All Hands on Deck! Class 1-A", including adorable toddlers, emotional support mushrooms, and astral plane puberty. Want more? Visit our website, myheroanalysis.com. Thanks for listening! Donate to Fire Relief ⁠⁠⁠⁠Donate to Palestine⁠⁠⁠⁠ ⁠⁠⁠⁠Donate to Sudan

Tuesday, January 14, 2025 Sliced: Los Angeles's Wildfires and the Path Forward In this edition of Sliced, Jay writes about Los Angeles's wildfires, reflecting on their personal impact and the financial tools driving forest resilience and climate action. From carbon markets to impact investing, Jay points out how these solutions can help amid the devastation. For those who want to help those impacted by the LA fires, there are numerous avenues. If you're local, a list of volunteer opportunities is here. If you want to donate money, try the following: All Hands and Hearts Los Angeles Fire Department Foundation California State Parks Foundation California Community Foundation -- Sliced is a weekly short-form dispatch released every Tuesday that features original thought pieces from our team members with the goal of slicing apart the various complex aspects of climate finance. If you want to check out the written version of Sliced, click here. And if you want to receive Sliced to your inbox, click ⁠here⁠. Sliced is produced by ⁠Gordian Knot Strategies⁠. It is written, narrated, and edited by ⁠Jay Tipton⁠. Visit us at www.gordianknotstrategies.com. Music is by ⁠Coma-Media.

This week, Pastor Nate continues the "All Hands on Deck" Series, calling us to a place of truly being ready follow Jesus.

All Hands on Decks is a series featuring Andyr that discusses community decks that we think deserve to be seen. We will discuss the decks, and categorize them into the Johnny-Timmy-Spike archetypes so that others can find decks they might enjoy, depending on the type of player they are.  Link to Spike, Johnny, and Timmy: https://magic.wizards.com/en/news/making-magic/timmy-johnny-and-spike-2013-12-03 In this episode of the our mini-series, Boomguy and Andy explore two unique decks in the Marvel Champions game. The first deck, 'Drax Tank and Spank with Mantis Sidekick Healer,' focuses on utilizing Drax's strengths alongside Mantis as a sidekick healer. The second deck, 'Wasp and Ant-Man with a Great Equalizer,' aims to enhance Wasp's capabilities by leveraging Ant-Man's potential through various attachments and strategies. The hosts discuss the strengths and weaknesses of each deck, categorize them based on player archetypes, and share insights on deck building and gameplay strategies. Drank "Tank and Spank" with Mantis Sidekick Healer: https://marvelcdb.com/decklist/view/38888/drax-tank-and-spank-with-mantis-sidekick-healer-1.0 Wasp and Ant-Man with a Great Equalizer (fixed): https://marvelcdb.com/decklist/view/44671/wasp-and-ant-man-with-a-great-equalizer-fixed-1.0 Chapters 00:00 Introduction 02:08 Exploring Drax Tank and Spank Deck 09:45 Reviewing Wasp and Ant-Man Deck 25:59 Conclusion and Future Deck Suggestions

In episode 103, Camille breaks down her time in North Carolina and her volunteer work with the organization "All Hands and All Hearts" in the recovery efforts from Hurricane Helene that she started back in October. Six states were hit by this hurricane, with North Carolina being one of, if not the, hardest hit. Unexpectedly hard hit. If you are a new listener to Camille's podcasts, this is a big story, and you may want to start at the beginning with episodes 101 and 102 for more background and what led Camille to wanting to do this. If you are a returning guest, while it has taken a little longer for this episode to happen, you will not be disappointed by the wait. It's exciting, emotional, informative, and so relatable. This is a mostly freeform episode, and Camille will be sharing her most valuable insights, key points, tips, resources, experiences, and how remote work fits in. During this time, she got sick, did a lot of physical labor, met great people, formed friendships, and she even has a surprise to reveal. So, kick back, relax, and listen to what turned out to be a lifechanging experience for our Camille Attell.Here is Camille's direct link for All Hands and All Hearts, the organization she will be working with, and she talks about in this episode. All donations will go directly to them. Please feel free to share.https://give.allhandsandhearts.org/camilleClick here to read the show notes for this episode:https://www.camilleattell.com/blog/101You can also take her FREE training at:www.camilleattell.com/remote-trainingIf you want to learn more about how to leverage your digital products or service visit:www.camilleattell.com/remoteworkschool Connect with Camille on Instagram: @camille.attellConnect with Camille on Linkedin: Camille Attell, MARead more about the RV and Remote Work Lifestyle at https://www.morethanawheelin.com/

All Hands on Decks is a series featuring Andyr that discusses community decks that we think deserve to be seen. We will discuss the decks, and categorize them into the Johnny-Timmy-Spike archetypes so that others can find decks they might enjoy, depending on the type of player they are.  Link to Spike, Johnny, and Timmy: https://magic.wizards.com/en/news/making-magic/timmy-johnny-and-spike-2013-12-03 In this episode of All Hands on Decks, Boomguy and Andyr explore community decks centered around the leadership ally Beta Ray Bill. They discuss various deck-building strategies, player archetypes, and analyze specific decks, including one from The Masked Hero and another featuring Valkyrie. The conversation emphasizes the importance of community engagement and the creativity of deck builders, encouraging listeners to share their own decks and thoughts. Going Down Swinging: https://marvelcdb.com/decklist/view/44216/going-down-swinging-1.0 Valkyrie's Black Knight: https://marvelcdb.com/decklist/view/42221/valkyrie-s-black-knight-1.0 Chapters 00:00 Introduction to the series 03:07 Deck Building Themes and Player Archetypes 09:46 Exploring the Beta Ray Bill Deck 16:40 Valkyrie Deck Analysis 28:53 Community Engagement and Closing Thoughts    

Andres is a designer and founder based in San Antonio, TX.He has practiced design for more than 12 years and experienced multiple success stories in his career, including tenure at 2 technology startups that were acquired.Currently Andres runs multiple ventures, all sharing a foundation of design. He is founder and creative director of ALL HANDS, the design studio that continues his practice of leading visual identity and product design. He also runs the SAFEHOUSE membership lounge in San Antonio.Connect with Andresx.com/andresjasso | instagram/@andresjasso | linkedin/andresjassoSupported by:* Color AI: Generate meaningful color palettes with cultural references* Design Discipline Bookstore: designer books and accoutrements This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.designdisciplin.com/subscribe

Join hosts Ed Voccola (Rick and Morty, Bless The Harts) and Chris Cullari (Blumhouse, The Aviary) for a wild trip through the world of what scares them.  This week, the Hose Boys kick off Season Five by dialing the clocks back almost a quarter century to the night of Dec. 31st, 1999. Y2K was on everyone's lips. Society was going to collapse at the stroke of midnight. How did we manage to survive? And how long until the next digital disaster? Don't love every word we say? Ok, weirdo. Here's some "chapters" to find what you DO love: 00:00:00 - Intro 00:02:07 - Housekeeping 00:06:17 - 5-Star Review Corner 00:10:40 - We're Talking Y2K 00:15:32 - Y2K basics 00:22:15 - HelloFresh 00:23:52 - How the Problem Started 00:34:39 - Y2K Etymology and linguistics 00:40:29 - Y2K in Pop Culture 00:44:24 - BetterHelp 00:46:05 - Y2K in Pop Culture Continued 00:59:40 - All Hands on Deck 01:03:24 - After Midnight 01:10:24 - The Fix 01:17:17 - Mini Y2Ks and AI 01:26:52 - The Fear Tier NOTE: Ads out of our control may affect chapter timing. Visit this episode's show notes for links and references. And the show notes for every episode can now be found on our website. Want even more out of SATT? You can SUPPORT THE SHOW and grab yourself ad-free episodes, a welcome button, and more by joining SATT PREMIUM.

923: In their latest book, All Hands on Tech, Babson College Professor Tom Davenport and automation pioneer Ian Barkin explore how citizen development is transforming the workplace. In this episode of Technovation, Peter High interviews Tom and Ian about the core concepts of their book, covering the rise of citizen developers, the role of governance frameworks, and real-world case studies that demonstrate the impact of democratizing technology.

We are recording our next big recap episode and taking questions! Submit questions and messages on Speakpipe here for a chance to appear on the show!Also subscribe to our calendar for our Singapore, NeurIPS, and all upcoming meetups!In our first ever episode with Logan Kilpatrick we called out the two hottest LLM frameworks at the time: LangChain and Dust. We've had Harrison from LangChain on twice (as a guest and as a co-host), and we've now finally come full circle as Stanislas from Dust joined us in the studio.After stints at Oracle and Stripe, Stan had joined OpenAI to work on mathematical reasoning capabilities. He describes his time at OpenAI as "the PhD I always wanted to do" while acknowledging the challenges of research work: "You're digging into a field all day long for weeks and weeks, and you find something, you get super excited for 12 seconds. And at the 13 seconds, you're like, 'oh, yeah, that was obvious.' And you go back to digging." This experience, combined with early access to GPT-4's capabilities, shaped his decision to start Dust: "If we believe in AGI and if we believe the timelines might not be too long, it's actually the last train leaving the station to start a company. After that, it's going to be computers all the way down."The History of DustDust's journey can be broken down into three phases:* Developer Framework (2022): Initially positioned as a competitor to LangChain, Dust started as a developer tooling platform. While both were open source, their approaches differed – LangChain focused on broad community adoption and integration as a pure developer experience, while Dust emphasized UI-driven development and better observability that wasn't just `print` statements.* Browser Extension (Early 2023): The company pivoted to building XP1, a browser extension that could interact with web content. This experiment helped validate user interaction patterns with AI, even while using less capable models than GPT-4.* Enterprise Platform (Current): Today, Dust has evolved into an infrastructure platform for deploying AI agents within companies, with impressive metrics like 88% daily active users in some deployments.The Case for Being HorizontalThe big discussion for early stage companies today is whether or not to be horizontal or vertical. Since models are so good at general tasks, a lot of companies are building vertical products that take care of a workflow end-to-end in order to offer more value and becoming more of “Services as Software”. Dust on the other hand is a platform for the users to build their own experiences, which has had a few advantages:* Maximum Penetration: Dust reports 60-70% weekly active users across entire companies, demonstrating the potential reach of horizontal solutions rather than selling into a single team.* Emergent Use Cases: By allowing non-technical users to create agents, Dust enables use cases to emerge organically from actual business needs rather than prescribed solutions.* Infrastructure Value: The platform approach creates lasting value through maintained integrations and connections, similar to how Stripe's value lies in maintaining payment infrastructure. Rather than relying on third-party integration providers, Dust maintains its own connections to ensure proper handling of different data types and structures.The Vertical ChallengeHowever, this approach comes with trade-offs:* Harder Go-to-Market: As Stan talked about: "We spike at penetration... but it makes our go-to-market much harder. Vertical solutions have a go-to-market that is much easier because they're like, 'oh, I'm going to solve the lawyer stuff.'"* Complex Infrastructure: Building a horizontal platform requires maintaining numerous integrations and handling diverse data types appropriately – from structured Salesforce data to unstructured Notion pages. As you scale integrations, the cost of maintaining them also scales. * Product Surface Complexity: Creating an interface that's both powerful and accessible to non-technical users requires careful design decisions, down to avoiding technical terms like "system prompt" in favor of "instructions." The Future of AI PlatformsStan initially predicted we'd see the first billion-dollar single-person company in 2023 (a prediction later echoed by Sam Altman), but he's now more focused on a different milestone: billion-dollar companies with engineering teams of just 20 people, enabled by AI assistance.This vision aligns with Dust's horizontal platform approach – building the infrastructure that allows small teams to achieve outsized impact through AI augmentation. Rather than replacing entire job functions (the vertical approach), they're betting on augmenting existing workflows across organizations.Full YouTube EpisodeChapters* 00:00:00 Introductions* 00:04:33 Joining OpenAI from Paris* 00:09:54 Research evolution and compute allocation at OpenAI* 00:13:12 Working with Ilya Sutskever and OpenAI's vision* 00:15:51 Leaving OpenAI to start Dust* 00:18:15 Early focus on browser extension and WebGPT-like functionality* 00:20:20 Dust as the infrastructure for agents* 00:24:03 Challenges of building with early AI models* 00:28:17 LLMs and Workflow Automation* 00:35:28 Building dependency graphs of agents* 00:37:34 Simulating API endpoints* 00:40:41 State of AI models* 00:43:19 Running evals* 00:46:36 Challenges in building AI agents infra* 00:49:21 Buy vs. build decisions for infrastructure components* 00:51:02 Future of SaaS and AI's Impact on Software* 00:53:07 The single employee $1B company race* 00:56:32 Horizontal vs. vertical approaches to AI agentsTranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol.ai.Swyx [00:00:11]: Hey, and today we're in a studio with Stanislas, welcome.Stan [00:00:14]: Thank you very much for having me.Swyx [00:00:16]: Visiting from Paris.Stan [00:00:17]: Paris.Swyx [00:00:18]: And you have had a very distinguished career. It's very hard to summarize, but you went to college in both Ecopolytechnique and Stanford, and then you worked in a number of places, Oracle, Totems, Stripe, and then OpenAI pre-ChatGPT. We'll talk, we'll spend a little bit of time about that. About two years ago, you left OpenAI to start Dust. I think you were one of the first OpenAI alum founders.Stan [00:00:40]: Yeah, I think it was about at the same time as the Adept guys, so that first wave.Swyx [00:00:46]: Yeah, and people really loved our David episode. We love a few sort of OpenAI stories, you know, for back in the day, like we're talking about pre-recording. Probably the statute of limitations on some of those stories has expired, so you can talk a little bit more freely without them coming after you. But maybe we'll just talk about, like, what was your journey into AI? You know, you were at Stripe for almost five years, there are a lot of Stripe alums going into OpenAI. I think the Stripe culture has come into OpenAI quite a bit.Stan [00:01:11]: Yeah, so I think the buses of Stripe people really started flowing in, I guess, after ChatGPT. But, yeah, my journey into AI is a... I mean, Greg Brockman. Yeah, yeah. From Greg, of course. And Daniela, actually, back in the days, Daniela Amodei.Swyx [00:01:27]: Yes, she was COO, I mean, she is COO, yeah. She had a pretty high job at OpenAI at the time, yeah, for sure.Stan [00:01:34]: My journey started as anybody else, you're fascinated with computer science and you want to make them think, it's awesome, but it doesn't work. I mean, it was a long time ago, it was like maybe 16, so it was 25 years ago. Then the first big exposure to AI would be at Stanford, and I'm going to, like, disclose a whole lamb, because at the time it was a class taught by Andrew Ng, and there was no deep learning. It was half features for vision and a star algorithm. So it was fun. But it was the early days of deep learning. At the time, I think a few years after, it was the first project at Google. But you know, that cat face or the human face trained from many images. I went to, hesitated doing a PhD, more in systems, eventually decided to go into getting a job. Went at Oracle, started a company, did a gazillion mistakes, got acquired by Stripe, worked with Greg Buckman there. And at the end of Stripe, I started interesting myself in AI again, felt like it was the time, you had the Atari games, you had the self-driving craziness at the time. And I started exploring projects, it felt like the Atari games were incredible, but there were still games. And I was looking into exploring projects that would have an impact on the world. And so I decided to explore three things, self-driving cars, cybersecurity and AI, and math and AI. It's like I sing it by a decreasing order of impact on the world, I guess.Swyx [00:03:01]: Discovering new math would be very foundational.Stan [00:03:03]: It is extremely foundational, but it's not as direct as driving people around.Swyx [00:03:07]: Sorry, you're doing this at Stripe, you're like thinking about your next move.Stan [00:03:09]: No, it was at Stripe, kind of a bit of time where I started exploring. I did a bunch of work with friends on trying to get RC cars to drive autonomously. Almost started a company in France or Europe about self-driving trucks. We decided to not go for it because it was probably very operational. And I think the idea of the company, of the team wasn't there. And also I realized that if I wake up a day and because of a bug I wrote, I killed a family, it would be a bad experience. And so I just decided like, no, that's just too crazy. And then I explored cybersecurity with a friend. We're trying to apply transformers to cut fuzzing. So cut fuzzing, you have kind of an algorithm that goes really fast and tries to mutate the inputs of a library to find bugs. And we tried to apply a transformer to that and do reinforcement learning with the signal of how much you propagate within the binary. Didn't work at all because the transformers are so slow compared to evolutionary algorithms that it kind of didn't work. Then I started interested in math and AI and started working on SAT solving with AI. And at the same time, OpenAI was kind of starting the reasoning team that were tackling that project as well. I was in touch with Greg and eventually got in touch with Ilya and finally found my way to OpenAI. I don't know how much you want to dig into that. The way to find your way to OpenAI when you're in Paris was kind of an interesting adventure as well.Swyx [00:04:33]: Please. And I want to note, this was a two-month journey. You did all this in two months.Stan [00:04:38]: The search.Swyx [00:04:40]: Your search for your next thing, because you left in July 2019 and then you joined OpenAI in September.Stan [00:04:45]: I'm going to be ashamed to say that.Swyx [00:04:47]: You were searching before. I was searching before.Stan [00:04:49]: I mean, it's normal. No, the truth is that I moved back to Paris through Stripe and I just felt the hardship of being remote from your team nine hours away. And so it kind of freed a bit of time for me to start the exploration before. Sorry, Patrick. Sorry, John.Swyx [00:05:05]: Hopefully they're listening. So you joined OpenAI from Paris and from like, obviously you had worked with Greg, but notStan [00:05:13]: anyone else. No. Yeah. So I had worked with Greg, but not Ilya, but I had started chatting with Ilya and Ilya was kind of excited because he knew that I was a good engineer through Greg, I presume, but I was not a trained researcher, didn't do a PhD, never did research. And I started chatting and he was excited all the way to the point where he was like, hey, come pass interviews, it's going to be fun. I think he didn't care where I was, he just wanted to try working together. So I go to SF, go through the interview process, get an offer. And so I get Bob McGrew on the phone for the first time, he's like, hey, Stan, it's awesome. You've got an offer. When are you coming to SF? I'm like, hey, it's awesome. I'm not coming to the SF. I'm based in Paris and we just moved. He was like, hey, it's awesome. Well, you don't have an offer anymore. Oh, my God. No, it wasn't as hard as that. But that's basically the idea. And it took me like maybe a couple more time to keep chatting and they eventually decided to try a contractor set up. And that's how I kind of started working at OpenAI, officially as a contractor, but in practice really felt like being an employee.Swyx [00:06:14]: What did you work on?Stan [00:06:15]: So it was solely focused on math and AI. And in particular in the application, so the study of the larger grid models, mathematical reasoning capabilities, and in particular in the context of formal mathematics. The motivation was simple, transformers are very creative, but yet they do mistakes. Formal math systems are of the ability to verify a proof and the tactics they can use to solve problems are very mechanical, so you miss the creativity. And so the idea was to try to explore both together. You would get the creativity of the LLMs and the kind of verification capabilities of the formal system. A formal system, just to give a little bit of context, is a system in which a proof is a program and the formal system is a type system, a type system that is so evolved that you can verify the program. If the type checks, it means that the program is correct.Swyx [00:07:06]: Is the verification much faster than actually executing the program?Stan [00:07:12]: Verification is instantaneous, basically. So the truth is that what you code in involves tactics that may involve computation to search for solutions. So it's not instantaneous. You do have to do the computation to expand the tactics into the actual proof. The verification of the proof at the very low level is instantaneous.Swyx [00:07:32]: How quickly do you run into like, you know, halting problem PNP type things, like impossibilities where you're just like that?Stan [00:07:39]: I mean, you don't run into it at the time. It was really trying to solve very easy problems. So I think the... Can you give an example of easy? Yeah, so that's the mass benchmark that everybody knows today. The Dan Hendricks one. The Dan Hendricks one, yeah. And I think it was the low end part of the mass benchmark at the time, because that mass benchmark includes AMC problems, AMC 8, AMC 10, 12. So these are the easy ones. Then AIME problems, somewhat harder, and some IMO problems, like Crazy Arm.Swyx [00:08:07]: For our listeners, we covered this in our Benchmarks 101 episode. AMC is literally the grade of like high school, grade 8, grade 10, grade 12. So you can solve this. Just briefly to mention this, because I don't think we'll touch on this again. There's a bit of work with like Lean, and then with, you know, more recently with DeepMind doing like scoring like silver on the IMO. Any commentary on like how math has evolved from your early work to today?Stan [00:08:34]: I mean, that result is mind blowing. I mean, from my perspective, spent three years on that. At the same time, Guillaume Lampe in Paris, we were both in Paris, actually. He was at FAIR, was working on some problems. We were pushing the boundaries, and the goal was the IMO. And we cracked a few problems here and there. But the idea of getting a medal at an IMO was like just remote. So this is an impressive result. And we can, I think the DeepMind team just did a good job of scaling. I think there's nothing too magical in their approach, even if it hasn't been published. There's a Dan Silver talk from seven days ago where it goes a little bit into more details. It feels like there's nothing magical there. It's really applying reinforcement learning and scaling up the amount of data that can generate through autoformalization. So we can dig into what autoformalization means if you want.Alessio [00:09:26]: Let's talk about the tail end, maybe, of the OpenAI. So you joined, and you're like, I'm going to work on math and do all of these things. I saw on one of your blog posts, you mentioned you fine-tuned over 10,000 models at OpenAI using 10 million A100 hours. How did the research evolve from the GPD 2, and then getting closer to DaVinci 003? And then you left just before ChatGPD was released, but tell people a bit more about the research path that took you there.Stan [00:09:54]: I can give you my perspective of it. I think at OpenAI, there's always been a large chunk of the compute that was reserved to train the GPTs, which makes sense. So it was pre-entropic splits. Most of the compute was going to a product called Nest, which was basically GPT-3. And then you had a bunch of, let's say, remote, not core research teams that were trying to explore maybe more specific problems or maybe the algorithm part of it. The interesting part, I don't know if it was where your question was going, is that in those labs, you're managing researchers. So by definition, you shouldn't be managing them. But in that space, there's a managing tool that is great, which is compute allocation. Basically by managing the compute allocation, you can message the team of where you think the priority should go. And so it was really a question of, you were free as a researcher to work on whatever you wanted. But if it was not aligned with OpenAI mission, and that's fair, you wouldn't get the compute allocation. As it happens, solving math was very much aligned with the direction of OpenAI. And so I was lucky to generally get the compute I needed to make good progress.Swyx [00:11:06]: What do you need to show as incremental results to get funded for further results?Stan [00:11:12]: It's an imperfect process because there's a bit of a... If you're working on math and AI, obviously there's kind of a prior that it's going to be aligned with the company. So it's much easier than to go into something much more risky, much riskier, I guess. You have to show incremental progress, I guess. It's like you ask for a certain amount of compute and you deliver a few weeks after and you demonstrate that you have a progress. Progress might be a positive result. Progress might be a strong negative result. And a strong negative result is actually often much harder to get or much more interesting than a positive result. And then it generally goes into, as any organization, you would have people finding your project or any other project cool and fancy. And so you would have that kind of phase of growing up compute allocation for it all the way to a point. And then maybe you reach an apex and then maybe you go back mostly to zero and restart the process because you're going in a different direction or something else. That's how I felt. Explore, exploit. Yeah, exactly. Exactly. Exactly. It's a reinforcement learning approach.Swyx [00:12:14]: Classic PhD student search process.Alessio [00:12:17]: And you were reporting to Ilya, like the results you were kind of bringing back to him or like what's the structure? It's almost like when you're doing such cutting edge research, you need to report to somebody who is actually really smart to understand that the direction is right.Stan [00:12:29]: So we had a reasoning team, which was working on reasoning, obviously, and so math in general. And that team had a manager, but Ilya was extremely involved in the team as an advisor, I guess. Since he brought me in OpenAI, I was lucky to mostly during the first years to have kind of a direct access to him. He would really coach me as a trainee researcher, I guess, with good engineering skills. And Ilya, I think at OpenAI, he was the one showing the North Star, right? He was his job and I think he really enjoyed it and he did it super well, was going through the teams and saying, this is where we should be going and trying to, you know, flock the different teams together towards an objective.Swyx [00:13:12]: I would say like the public perception of him is that he was the strongest believer in scaling. Oh, yeah. Obviously, he has always pursued the compression thesis. You have worked with him personally, what does the public not know about how he works?Stan [00:13:26]: I think he's really focused on building the vision and communicating the vision within the company, which was extremely useful. I was personally surprised that he spent so much time, you know, working on communicating that vision and getting the teams to work together versus...Swyx [00:13:40]: To be specific, vision is AGI? Oh, yeah.Stan [00:13:42]: Vision is like, yeah, it's the belief in compression and scanning computes. I remember when I started working on the Reasoning team, the excitement was really about scaling the compute around Reasoning and that was really the belief we wanted to ingrain in the team. And that's what has been useful to the team and with the DeepMind results shows that it was the right approach with the success of GPT-4 and stuff shows that it was the right approach.Swyx [00:14:06]: Was it according to the neural scaling laws, the Kaplan paper that was published?Stan [00:14:12]: I think it was before that, because those ones came with GPT-3, basically at the time of GPT-3 being released or being ready internally. But before that, there really was a strong belief in scale. I think it was just the belief that the transformer was a generic enough architecture that you could learn anything. And that was just a question of scaling.Alessio [00:14:33]: Any other fun stories you want to tell? Sam Altman, Greg, you know, anything.Stan [00:14:37]: Weirdly, I didn't work that much with Greg when I was at OpenAI. He had always been mostly focused on training the GPTs and rightfully so. One thing about Sam Altman, he really impressed me because when I joined, he had joined not that long ago and it felt like he was kind of a very high level CEO. And I was mind blown by how deep he was able to go into the subjects within a year or something, all the way to a situation where when I was having lunch by year two, I was at OpenAI with him. He would just quite know deeply what I was doing. With no ML background. Yeah, with no ML background, but I didn't have any either, so I guess that explains why. But I think it's a question about, you don't necessarily need to understand the very technicalities of how things are done, but you need to understand what's the goal and what's being done and what are the recent results and all of that in you. And we could have kind of a very productive discussion. And that really impressed me, given the size at the time of OpenAI, which was not negligible.Swyx [00:15:44]: Yeah. I mean, you've been a, you were a founder before, you're a founder now, and you've seen Sam as a founder. How has he affected you as a founder?Stan [00:15:51]: I think having that capability of changing the scale of your attention in the company, because most of the time you operate at a very high level, but being able to go deep down and being in the known of what's happening on the ground is something that I feel is really enlightening. That's not a place in which I ever was as a founder, because first company, we went all the way to 10 people. Current company, there's 25 of us. So the high level, the sky and the ground are pretty much at the same place. No, you're being too humble.Swyx [00:16:21]: I mean, Stripe was also like a huge rocket ship.Stan [00:16:23]: Stripe, I was a founder. So I was, like at OpenAI, I was really happy being on the ground, pushing the machine, making it work. Yeah.Swyx [00:16:31]: Last OpenAI question. The Anthropic split you mentioned, you were around for that. Very dramatic. David also left around that time, you left. This year, we've also had a similar management shakeup, let's just call it. Can you compare what it was like going through that split during that time? And then like, does that have any similarities now? Like, are we going to see a new Anthropic emerge from these folks that just left?Stan [00:16:54]: That I really, really don't know. At the time, the split was pretty surprising because they had been trying GPT-3, it was a success. And to be completely transparent, I wasn't in the weeds of the splits. What I understood of it is that there was a disagreement of the commercialization of that technology. I think the focal point of that disagreement was the fact that we started working on the API and wanted to make those models available through an API. Is that really the core disagreement? I don't know.Swyx [00:17:25]: Was it safety?Stan [00:17:26]: Was it commercialization?Swyx [00:17:27]: Or did they just want to start a company?Stan [00:17:28]: Exactly. Exactly. That I don't know. But I think what I was surprised of is how quickly OpenAI recovered at the time. And I think it's just because we were mostly a research org and the mission was so clear that some divergence in some teams, some people leave, the mission is still there. We have the compute. We have a site. So it just keeps going.Swyx [00:17:50]: Very deep bench. Like just a lot of talent. Yeah.Alessio [00:17:53]: So that was the OpenAI part of the history. Exactly. So then you leave OpenAI in September 2022. And I would say in Silicon Valley, the two hottest companies at the time were you and Lanktrain. What was that start like and why did you decide to start with a more developer focused kind of like an AI engineer tool rather than going back into some more research and something else?Stan [00:18:15]: Yeah. First, I'm not a trained researcher. So going through OpenAI was really kind of the PhD I always wanted to do. But research is hard. You're digging into a field all day long for weeks and weeks and weeks, and you find something, you get super excited for 12 seconds. And at the 13 seconds, you're like, oh, yeah, that was obvious. And you go back to digging. I'm not a trained, like formally trained researcher, and it wasn't kind of a necessarily an ambition of me of creating, of having a research career. And I felt the hardness of it. I enjoyed a lot of like that a ton. But at the time, I decided that I wanted to go back to something more productive. And the other fun motivation was like, I mean, if we believe in AGI and if we believe the timelines might not be too long, it's actually the last train leaving the station to start a company. After that, it's going to be computers all the way down. And so that was kind of the true motivation for like trying to go there. So that's kind of the core motivation at the beginning of personally. And the motivation for starting a company was pretty simple. I had seen GPT-4 internally at the time, it was September 2022. So it was pre-GPT, but GPT-4 was ready since, I mean, I'd been ready for a few months internally. I was like, okay, that's obvious, the capabilities are there to create an insane amount of value to the world. And yet the deployment is not there yet. The revenue of OpenAI at the time were ridiculously small compared to what it is today. So the thesis was, there's probably a lot to be done at the product level to unlock the usage.Alessio [00:19:49]: Yeah. Let's talk a bit more about the form factor, maybe. I think one of the first successes you had was kind of like the WebGPT-like thing, like using the models to traverse the web and like summarize things. And the browser was really the interface. Why did you start with the browser? Like what was it important? And then you built XP1, which was kind of like the browser extension.Stan [00:20:09]: So the starting point at the time was, if you wanted to talk about LLMs, it was still a rather small community, a community of mostly researchers and to some extent, very early adopters, very early engineers. It was almost inconceivable to just build a product and go sell it to the enterprise, though at the time there was a few companies doing that. The one on marketing, I don't remember its name, Jasper. But so the natural first intention, the first, first, first intention was to go to the developers and try to create tooling for them to create product on top of those models. And so that's what Dust was originally. It was quite different than Lanchain, and Lanchain just beat the s**t out of us, which is great. It's a choice.Swyx [00:20:53]: You were cloud, in closed source. They were open source.Stan [00:20:56]: Yeah. So technically we were open source and we still are open source, but I think that doesn't really matter. I had the strong belief from my research time that you cannot create an LLM-based workflow on just one example. Basically, if you just have one example, you overfit. So as you develop your interaction, your orchestration around the LLM, you need a dozen examples. Obviously, if you're running a dozen examples on a multi-step workflow, you start paralyzing stuff. And if you do that in the console, you just have like a messy stream of tokens going out and it's very hard to observe what's going there. And so the idea was to go with an UI so that you could kind of introspect easily the output of each interaction with the model and dig into there through an UI, which is-Swyx [00:21:42]: Was that open source? I actually didn't come across it.Stan [00:21:44]: Oh yeah, it wasn't. I mean, Dust is entirely open source even today. We're not going for an open source-Swyx [00:21:48]: If it matters, I didn't know that.Stan [00:21:49]: No, no, no, no, no. The reason why is because we're not open source because we're not doing an open source strategy. It's not an open source go-to-market at all. We're open source because we can and it's fun.Swyx [00:21:59]: Open source is marketing. You have all the downsides of open source, which is like people can clone you.Stan [00:22:03]: But I think that downside is a big fallacy. Okay. Yes, anybody can clone Dust today, but the value of Dust is not the current state. The value of Dust is the number of eyeballs and hands of developers that are creating to it in the future. And so yes, anybody can clone it today, but that wouldn't change anything. There is some value in being open source. In a discussion with the security team, you can be extremely transparent and just show the code. When you have discussion with users and there's a bug or a feature missing, you can just point to the issue, show the pull request, show the, show the, exactly, oh, PR welcome. That doesn't happen that much, but you can show the progress if the person that you're chatting with is a little bit technical, they really enjoy seeing the pull request advancing and seeing all the way to deploy. And then the downsides are mostly around security. You never want to do security by obfuscation. But the truth is that your vector of attack is facilitated by you being open source. But at the same time, it's a good thing because if you're doing anything like a bug bountying or stuff like that, you just give much more tools to the bug bountiers so that their output is much better. So there's many, many, many trade-offs. I don't believe in the value of the code base per se. I think it's really the people that are on the code base that have the value and go to market and the product and all of those things that are around the code base. Obviously, that's not true for every code base. If you're working on a very secret kernel to accelerate the inference of LLMs, I would buy that you don't want to be open source. But for product stuff, I really think there's very little risk. Yeah.Alessio [00:23:39]: I signed up for XP1, I was looking, January 2023. I think at the time you were on DaVinci 003. Given that you had seen GPD 4, how did you feel having to push a product out that was using this model that was so inferior? And you're like, please, just use it today. I promise it's going to get better. Just overall, as a founder, how do you build something that maybe doesn't quite work with the model today, but you're just expecting the new model to be better?Stan [00:24:03]: Yeah, so actually, XP1 was even on a smaller one that was the post-GDPT release, small version, so it was... Ada, Babbage... No, no, no, not that far away. But it was the small version of GDPT, basically. I don't remember its name. Yes, you have a frustration there. But at the same time, I think XP1 was designed, was an experiment, but was designed as a way to be useful at the current capability of the model. If you just want to extract data from a LinkedIn page, that model was just fine. If you want to summarize an article on a newspaper, that model was just fine. And so it was really a question of trying to find a product that works with the current capability, knowing that you will always have tailwinds as models get better and faster and cheaper. So that was kind of a... There's a bit of a frustration because you know what's out there and you know that you don't have access to it yet. It's also interesting to try to find a product that works with the current capability.Alessio [00:24:55]: And we highlighted XP1 in our anatomy of autonomy post in April of last year, which was, you know, where are all the agents, right? So now we spent 30 minutes getting to what you're building now. So you basically had a developer framework, then you had a browser extension, then you had all these things, and then you kind of got to where Dust is today. So maybe just give people an overview of what Dust is today and the courtesies behind it. Yeah, of course.Stan [00:25:20]: So Dust, we really want to build the infrastructure so that companies can deploy agents within their teams. We are horizontal by nature because we strongly believe in the emergence of use cases from the people having access to creating an agent that don't need to be developers. They have to be thinkers. They have to be curious. But anybody can create an agent that will solve an operational thing that they're doing in their day-to-day job. And to make those agents useful, there's two focus, which is interesting. The first one is an infrastructure focus. You have to build the pipes so that the agent has access to the data. You have to build the pipes such that the agents can take action, can access the web, et cetera. So that's really an infrastructure play. Maintaining connections to Notion, Slack, GitHub, all of them is a lot of work. It is boring work, boring infrastructure work, but that's something that we know is extremely valuable in the same way that Stripe is extremely valuable because it maintains the pipes. And we have that dual focus because we're also building the product for people to use it. And there it's fascinating because everything started from the conversational interface, obviously, which is a great starting point. But we're only scratching the surface, right? I think we are at the pong level of LLM productization. And we haven't invented the C3. We haven't invented Counter-Strike. We haven't invented Cyberpunk 2077. So this is really our mission is to really create the product that lets people equip themselves to just get away all the work that can be automated or assisted by LLMs.Alessio [00:26:57]: And can you just comment on different takes that people had? So maybe the most open is like auto-GPT. It's just kind of like just trying to do anything. It's like it's all magic. There's no way for you to do anything. Then you had the ADAPT, you know, we had David on the podcast. They're very like super hands-on with each individual customer to build super tailored. How do you decide where to draw the line between this is magic? This is exposed to you, especially in a market where most people don't know how to build with AI at all. So if you expect them to do the thing, they're probably not going to do it. Yeah, exactly.Stan [00:27:29]: So the auto-GPT approach obviously is extremely exciting, but we know that the agentic capability of models are not quite there yet. It just gets lost. So we're starting, we're starting where it works. Same with the XP one. And where it works is pretty simple. It's like simple workflows that involve a couple tools where you don't even need to have the model decide which tools it's used in the sense of you just want people to put it in the instructions. It's like take that page, do that search, pick up that document, do the work that I want in the format I want, and give me the results. There's no smartness there, right? In terms of orchestrating the tools, it's mostly using English for people to program a workflow where you don't have the constraint of having compatible API between the two.Swyx [00:28:17]: That kind of personal automation, would you say it's kind of like an LLM Zapier type ofStan [00:28:22]: thing?Swyx [00:28:22]: Like if this, then that, and then, you know, do this, then this. You're programming with English?Stan [00:28:28]: So you're programming with English. So you're just saying, oh, do this and then that. You can even create some form of APIs. You say, when I give you the command X, do this. When I give you the command Y, do this. And you describe the workflow. But you don't have to create boxes and create the workflow explicitly. It just needs to describe what are the tasks supposed to be and make the tool available to the agent. The tool can be a semantic search. The tool can be querying into a structured database. The tool can be searching on the web. And obviously, the interesting tools that we're only starting to scratch are actually creating external actions like reimbursing something on Stripe, sending an email, clicking on a button in the admin or something like that.Swyx [00:29:11]: Do you maintain all these integrations?Stan [00:29:13]: Today, we maintain most of the integrations. We do always have an escape hatch for people to kind of custom integrate. But the reality is that the reality of the market today is that people just want it to work, right? And so it's mostly us maintaining the integration. As an example, a very good source of information that is tricky to productize is Salesforce. Because Salesforce is basically a database and a UI. And they do the f**k they want with it. And so every company has different models and stuff like that. So right now, we don't support it natively. And the type of support or real native support will be slightly more complex than just osing into it, like is the case with Slack as an example. Because it's probably going to be, oh, you want to connect your Salesforce to us? Give us the SQL. That's the Salesforce QL language. Give us the queries you want us to run on it and inject in the context of dust. So that's interesting how not only integrations are cool, and some of them require a bit of work on the user. And for some of them that are really valuable to our users, but we don't support yet, they can just build them internally and push the data to us.Swyx [00:30:18]: I think I understand the Salesforce thing. But let me just clarify, are you using browser automation because there's no API for something?Stan [00:30:24]: No, no, no, no. In that case, so we do have browser automation for all the use cases and apply the public web. But for most of the integration with the internal system of the company, it really runs through API.Swyx [00:30:35]: Haven't you felt the pull to RPA, browser automation, that kind of stuff?Stan [00:30:39]: I mean, what I've been saying for a long time, maybe I'm wrong, is that if the future is that you're going to stand in front of a computer and looking at an agent clicking on stuff, then I'll hit my computer. And my computer is a big Lenovo. It's black. Doesn't sound good at all compared to a Mac. And if the APIs are there, we should use them. There is going to be a long tail of stuff that don't have APIs, but as the world is moving forward, that's disappearing. So the core API value in the past has really been, oh, this old 90s product doesn't have an API. So I need to use the UI to automate. I think for most of the ICP companies, the companies that ICP for us, the scale ups that are between 500 and 5,000 people, tech companies, most of the SaaS they use have APIs. Now there's an interesting question for the open web, because there are stuff that you want to do that involve websites that don't necessarily have APIs. And the current state of web integration from, which is us and OpenAI and Anthropic, I don't even know if they have web navigation, but I don't think so. The current state of affair is really, really broken because you have what? You have basically search and headless browsing. But headless browsing, I think everybody's doing basically body.innertext and fill that into the model, right?Swyx [00:31:56]: MARK MIRCHANDANI There's parsers into Markdown and stuff.Stan [00:31:58]: FRANCESC CAMPOY I'm super excited by the companies that are exploring the capability of rendering a web page into a way that is compatible for a model, being able to maintain the selector. So that's basically the place where to click in the page through that process, expose the actions to the model, have the model select an action in a way that is compatible with model, which is not a big page of a full DOM that is very noisy, and then being able to decompress that back to the original page and take the action. And that's something that is really exciting and that will kind of change the level of things that agents can do on the web. That I feel exciting, but I also feel that the bulk of the useful stuff that you can do within the company can be done through API. The data can be retrieved by API. The actions can be taken through API.Swyx [00:32:44]: For listeners, I'll note that you're basically completely disagreeing with David Wan. FRANCESC CAMPOY Exactly, exactly. I've seen it since it's summer. ADEPT is where it is, and Dust is where it is. So Dust is still standing.Alessio [00:32:55]: Can we just quickly comment on function calling? You mentioned you don't need the models to be that smart to actually pick the tools. Have you seen the models not be good enough? Or is it just like, you just don't want to put the complexity in there? Like, is there any room for improvement left in function calling? Or do you feel you usually consistently get always the right response, the right parametersStan [00:33:13]: and all of that?Alessio [00:33:13]: FRANCESC CAMPOY So that's a tricky product question.Stan [00:33:15]: Because if the instructions are good and precise, then you don't have any issue, because it's scripted for you. And the model will just look at the scripts and just follow and say, oh, he's probably talking about that action, and I'm going to use it. And the parameters are kind of abused from the state of the conversation. I'll just go with it. If you provide a very high level, kind of an auto-GPT-esque level in the instructions and provide 16 different tools to your model, yes, we're seeing the models in that state making mistakes. And there is obviously some progress can be made on the capabilities. But the interesting part is that there is already so much work that can assist, augment, accelerate by just going with pretty simply scripted for actions agents. What I'm excited about by pushing our users to create rather simple agents is that once you have those working really well, you can create meta agents that use the agents as actions. And all of a sudden, you can kind of have a hierarchy of responsibility that will probably get you almost to the point of the auto-GPT value. It requires the construction of intermediary artifacts, but you're probably going to be able to achieve something great. I'll give you some example. We have our incidents are shared in Slack in a specific channel, or shipped are shared in Slack. We have a weekly meeting where we have a table about incidents and shipped stuff. We're not writing that weekly meeting table anymore. We have an assistant that just go find the right data on Slack and create the table for us. And that assistant works perfectly. It's trivially simple, right? Take one week of data from that channel and just create the table. And then we have in that weekly meeting, obviously some graphs and reporting about our financials and our progress and our ARR. And we've created assistants to generate those graphs directly. And those assistants works great. By creating those assistants that cover those small parts of that weekly meeting, slowly we're getting to in a world where we'll have a weekly meeting assistance. We'll just call it. You don't need to prompt it. You don't need to say anything. It's going to run those different assistants and get that notion page just ready. And by doing that, if you get there, and that's an objective for us to us using Dust, get there, you're saving an hour of company time every time you run it. Yeah.Alessio [00:35:28]: That's my pet topic of NPM for agents. How do you build dependency graphs of agents? And how do you share them? Because why do I have to rebuild some of the smaller levels of what you built already?Swyx [00:35:40]: I have a quick follow-up question on agents managing other agents. It's a topic of a lot of research, both from Microsoft and even in startups. What you've discovered best practice for, let's say like a manager agent controlling a bunch of small agents. It's two-way communication. I don't know if there should be a protocol format.Stan [00:35:59]: To be completely honest, the state we are at right now is creating the simple agents. So we haven't even explored yet the meta agents. We know it's there. We know it's going to be valuable. We know it's going to be awesome. But we're starting there because it's the simplest place to start. And it's also what the market understands. If you go to a company, random SaaS B2B company, not necessarily specialized in AI, and you take an operational team and you tell them, build some tooling for yourself, they'll understand the small agents. If you tell them, build AutoGP, they'll be like, Auto what?Swyx [00:36:31]: And I noticed that in your language, you're very much focused on non-technical users. You don't really mention API here. You mention instruction instead of system prompt, right? That's very conscious.Stan [00:36:41]: Yeah, it's very conscious. It's a mark of our designer, Ed, who kind of pushed us to create a friendly product. I was knee-deep into AI when I started, obviously. And my co-founder, Gabriel, was a Stripe as well. We started a company together that got acquired by Stripe 15 years ago. It was at Alain, a healthcare company in Paris. After that, it was a little bit less so knee-deep in AI, but really focused on product. And I didn't realize how important it is to make that technology not scary to end users. It didn't feel scary to me, but it was really seen by Ed, our designer, that it was feeling scary to the users. And so we were very proactive and very deliberate about creating a brand that feels not too scary and creating a wording and a language, as you say, that really tried to communicate the fact that it's going to be fine. It's going to be easy. You're going to make it.Alessio [00:37:34]: And another big point that David had about ADAPT is we need to build an environment for the agents to act. And then if you have the environment, you can simulate what they do. How's that different when you're interacting with APIs and you're kind of touching systems that you cannot really simulate? If you call it the Salesforce API, you're just calling it.Stan [00:37:52]: So I think that goes back to the DNA of the companies that are very different. ADAPT, I think, was a product company with a very strong research DNA, and they were still doing research. One of their goals was building a model. And that's why they raised a large amount of money, et cetera. We are 100% deliberately a product company. We don't do research. We don't train models. We don't even run GPUs. We're using the models that exist, and we try to push the product boundary as far as possible with the existing models. So that creates an issue. Indeed, so to answer your question, when you're interacting in the real world, well, you cannot simulate, so you cannot improve the models. Even improving your instructions is complicated for a builder. The hope is that you can use models to evaluate the conversations so that you can get at least feedback and you could get contradictive information about the performance of the assistance. But if you take actual trace of interaction of humans with those agents, it is even for us humans extremely hard to decide whether it was a productive interaction or a really bad interaction. You don't know why the person left. You don't know if they left happy or not. So being extremely, extremely, extremely pragmatic here, it becomes a product issue. We have to build a product that identifies the end users to provide feedback so that as a first step, the person that is building the agent can iterate on it. As a second step, maybe later when we start training model and post-training, et cetera, we can optimize around that for each of those companies. Yeah.Alessio [00:39:17]: Do you see in the future products offering kind of like a simulation environment, the same way all SaaS now kind of offers APIs to build programmatically? Like in cybersecurity, there are a lot of companies working on building simulative environments so that then you can use agents like Red Team, but I haven't really seen that.Stan [00:39:34]: Yeah, no, me neither. That's a super interesting question. I think it's really going to depend on how much, because you need to simulate to generate data, you need to train data to train models. And the question at the end is, are we going to be training models or are we just going to be using frontier models as they are? On that question, I don't have a strong opinion. It might be the case that we'll be training models because in all of those AI first products, the model is so close to the product surface that as you get big and you want to really own your product, you're going to have to own the model as well. Owning the model doesn't mean doing the pre-training, that would be crazy. But at least having an internal post-training realignment loop, it makes a lot of sense. And so if we see many companies going towards that all the time, then there might be incentives for the SaaS's of the world to provide assistance in getting there. But at the same time, there's a tension because those SaaS, they don't want to be interacted by agents, they want the human to click on the button. Yeah, they got to sell seats. Exactly.Swyx [00:40:41]: Just a quick question on models. I'm sure you've used many, probably not just OpenAI. Would you characterize some models as better than others? Do you use any open source models? What have been the trends in models over the last two years?Stan [00:40:53]: We've seen over the past two years kind of a bit of a race in between models. And at times, it's the OpenAI model that is the best. At times, it's the Anthropic models that is the best. Our take on that is that we are agnostic and we let our users pick their model. Oh, they choose? Yeah, so when you create an assistant or an agent, you can just say, oh, I'm going to run it on GP4, GP4 Turbo, or...Swyx [00:41:16]: Don't you think for the non-technical user, that is actually an abstraction that you should take away from them?Stan [00:41:20]: We have a sane default. So we move the default to the latest model that is cool. And we have a sane default, and it's actually not very visible. In our flow to create an agent, you would have to go in advance and go pick your model. So this is something that the technical person will care about. But that's something that obviously is a bit too complicated for the...Swyx [00:41:40]: And do you care most about function calling or instruction following or something else?Stan [00:41:44]: I think we care most for function calling because you want to... There's nothing worse than a function call, including incorrect parameters or being a bit off because it just drives the whole interaction off.Swyx [00:41:56]: Yeah, so got the Berkeley function calling.Stan [00:42:00]: These days, it's funny how the comparison between GP4O and GP4 Turbo is still up in the air on function calling. I personally don't have proof, but I know many people, and I'm probably part of them, to think that GP4 Turbo is still better than GP4O on function calling. Wow. We'll see what comes out of the O1 class if it ever gets function calling. And Cloud 3.5 Summit is great as well. They kind of innovated in an interesting way, which was never quite publicized. But it's that they have that kind of chain of thought step whenever you use a Cloud model or Summit model with function calling. That chain of thought step doesn't exist when you just interact with it just for answering questions. But when you use function calling, you get that step, and it really helps getting better function calling.Swyx [00:42:43]: Yeah, we actually just recorded a podcast with the Berkeley team that runs that leaderboard this week. So they just released V3.Stan [00:42:49]: Yeah.Swyx [00:42:49]: It was V1 like two months ago, and then they V2, V3. Turbo is on top.Stan [00:42:53]: Turbo is on top. Turbo is over 4.0.Swyx [00:42:54]: And then the third place is XLAM from Salesforce, which is a large action model they've been trying to popularize.Stan [00:43:01]: Yep.Swyx [00:43:01]: O1 Mini is actually on here, I think. O1 Mini is number 11.Stan [00:43:05]: But arguably, O1 Mini has been in a line for that. Yeah.Alessio [00:43:09]: Do you use leaderboards? Do you have your own evals? I mean, this is kind of intuitive, right? Like using the older model is better. I think most people just upgrade. Yeah. What's the eval process like?Stan [00:43:19]: It's funny because I've been doing research for three years, and we have bigger stuff to cook. When you're deploying in a company, one thing where we really spike is that when we manage to activate the company, we have a crazy penetration. The highest penetration we have is 88% daily active users within the entire employee of the company. The kind of average penetration and activation we have in our current enterprise customers is something like more like 60% to 70% weekly active. So we basically have the entire company interacting with us. And when you're there, there is so many stuff that matters most than getting evals, getting the best model. Because there is so many places where you can create products or do stuff that will give you the 80% with the work you do. Whereas deciding if it's GPT-4 or GPT-4 Turbo or et cetera, you know, it'll just give you the 5% improvement. But the reality is that you want to focus on the places where you can really change the direction or change the interaction more drastically. But that's something that we'll have to do eventually because we still want to be serious people.Swyx [00:44:24]: It's funny because in some ways, the model labs are competing for you, right? You don't have to do any effort. You just switch model and then it'll grow. What are you really limited by? Is it additional sources?Stan [00:44:36]: It's not models, right?Swyx [00:44:37]: You're not really limited by quality of model.Stan [00:44:40]: Right now, we are limited by the infrastructure part, which is the ability to connect easily for users to all the data they need to do the job they want to do.Swyx [00:44:51]: Because you maintain all your own stuff.Stan [00:44:53]: You know, there are companies out thereSwyx [00:44:54]: that are starting to provide integrations as a service, right? I used to work in an integrations company. Yeah, I know.Stan [00:44:59]: It's just that there is some intricacies about how you chunk stuff and how you process information from one platform to the other. If you look at the end of the spectrum, you could think of, you could say, oh, I'm going to support AirByte and AirByte has- I used to work at AirByte.Swyx [00:45:12]: Oh, really?Stan [00:45:13]: That makes sense.Swyx [00:45:14]: They're the French founders as well.Stan [00:45:15]: I know Jean very well. I'm seeing him today. And the reality is that if you look at Notion, AirByte does the job of taking Notion and putting it in a structured way. But that's the way it is not really usable to actually make it available to models in a useful way. Because you get all the blocks, details, et cetera, which is useful for many use cases.Swyx [00:45:35]: It's also for data scientists and not for AI.Stan [00:45:38]: The reality of Notion is that sometimes you have a- so when you have a page, there's a lot of structure in it and you want to capture the structure and chunk the information in a way that respects that structure. In Notion, you have databases. Sometimes those databases are real tabular data. Sometimes those databases are full of text. You want to get the distinction and understand that this database should be considered like text information, whereas this other one is actually quantitative information. And to really get a very high quality interaction with that piece of information, I haven't found a solution that will work without us owning the connection end-to-end.Swyx [00:46:15]: That's why I don't invest in, there's Composio, there's All Hands from Graham Newbig. There's all these other companies that are like, we will do the integrations for you. You just, we have the open source community. We'll do off the shelf. But then you are so specific in your needs that you want to own it.Swyx [00:46:28]: Yeah, exactly.Stan [00:46:29]: You can talk to Michel about that.Swyx [00:46:30]: You know, he wants to put the AI in there, but you know. Yeah, I will. I will.Stan [00:46:35]: Cool. What are we missing?Alessio [00:46:36]: You know, what are like the things that are like sneakily hard that you're tackling that maybe people don't even realize they're like really hard?Stan [00:46:43]: The real parts as we kind of touch base throughout the conversation is really building the infra that works for those agents because it's a tenuous walk. It's an evergreen piece of work because you always have an extra integration that will be useful to a non-negligible set of your users. I'm super excited about is that there's so many interactions that shouldn't be conversational interactions and that could be very useful. Basically, know that we have the firehose of information of those companies and there's not going to be that many companies that capture the firehose of information. When you have the firehose of information, you can do a ton of stuff with models that are just not accelerating people, but giving them superhuman capability, even with the current model capability because you can just sift through much more information. An example is documentation repair. If I have the firehose of Slack messages and new Notion pages, if somebody says, I own that page, I want to be updated when there is a piece of information that should update that page, this is not possible. You get an email saying, oh, look at that Slack message. It says the opposite of what you have in that paragraph. Maybe you want to update or just ping that person. I think there is a lot to be explored on the product layer in terms of what it means to interact productively with those models. And that's a problem that's extremely hard and extremely exciting.Swyx [00:48:00]: One thing you keep mentioning about infra work, obviously, Dust is building that infra and serving that in a very consumer-friendly way. You always talk about infra being additional sources, additional connectors. That is very important. But I'm also interested in the vertical infra. There is an orchestrator underlying all these things where you're doing asynchronous work. For example, the simplest one is a cron job. You just schedule things. But also, for if this and that, you have to wait for something to be executed and proceed to the next task. I used to work on an orchestrator as well, Temporal.Stan [00:48:31]: We used Temporal. Oh, you used Temporal? Yeah. Oh, how was the experience?Swyx [00:48:34]: I need the NPS.Stan [00:48:36]: We're doing a self-discovery call now.Swyx [00:48:39]: But you can also complain to me because I don't work there anymore.Stan [00:48:42]: No, we love Temporal. There's some edges that are a bit rough, surprisingly rough. And you would say, why is it so complicated?Swyx [00:48:49]: It's always versioning.Stan [00:48:50]: Yeah, stuff like that. But we really love it. And we use it for exactly what you said, like managing the entire set of stuff that needs to happen so that in semi-real time, we get all the updates from Slack or Notion or GitHub into the system. And whenever we see that piece of information goes through, maybe trigger workflows to run agents because they need to provide alerts to users and stuff like that. And Temporal is great. Love it.Swyx [00:49:17]: You haven't evaluated others. You don't want to build your own. You're happy with...Stan [00:49:21]: Oh, no, we're not in the business of replacing Temporal. And Temporal is so... I mean, it is or any other competitive product. They're very general. If it's there, there's an interesting theory about buy versus build. I think in that case, when you're a high-growth company, your buy-build trade-off is very much on the side of buy. Because if you have the capability, you're just going to be saving time, you can focus on your core competency, etc. And it's funny because we're seeing, we're starting to see the post-high-growth company, post-SKF company, going back on that trade-off, interestingly. So that's the cloud news about removing Zendesk and Salesforce. Do you believe that, by the way?Alessio [00:49:56]: Yeah, I did a podcast with them.Stan [00:49:58]: Oh, yeah?Alessio [00:49:58]: It's true.Swyx [00:49:59]: No, no, I know.Stan [00:50:00]: Of course they say it's true,Swyx [00:50:00]: but also how well is it going to go?Stan [00:50:02]: So I'm not talking about deflecting the customer traffic. I'm talking about building AI on top of Salesforce and Zendesk, basically, if I understand correctly. And all of a sudden, your product surface becomes much smaller because you're interacting with an AI system that will take some actions. And so all of a sudden, you don't need the product layer anymore. And you realize that, oh, those things are just databases that I pay a hundred times the price, right? Because you're a post-SKF company and you have tech capabilities, you are incentivized to reduce your costs and you have the capability to do so. And then it makes sense to just scratch the SaaS away. So it's interesting that we might see kind of a bad time for SaaS in post-hyper-growth tech companies. So it's still a big market, but it's not that big because if you're not a tech company, you don't have the capabilities to reduce that cost. If you're a high-growth company, always going to be buying because you go faster with that. But that's an interesting new space, new category of companies that might remove some SaaS. Yeah, Alessio's firmSwyx [00:51:02]: has an interesting thesis on the future of SaaS in AI.Alessio [00:51:05]: Service as a software, we call it. It's basically like, well, the most extreme is like, why is there any software at all? You know, ideally, it's all a labor interface where you're asking somebody to do something for you, whether that's a person, an AI agent or whatnot.Stan [00:51:17]: Yeah, yeah, that's interesting. I have to ask.Swyx [00:51:19]: Are you paying for Temporal Cloud or are you self-hosting?Stan [00:51:22]: Oh, no, no, we're paying, we're paying. Oh, okay, interesting.Swyx [00:51:24]: We're paying way too much.Stan [00:51:26]: It's crazy expensive, but it makes us-Swyx [00:51:28]: That's why as a shareholder, I like to hear that. It makes us go faster,Stan [00:51:31]: so we're happy to pay.Swyx [00:51:33]: Other things in the infrastack, I just want a list for other founders to think about. Ops, API gateway, evals, you know, anything interesting there that you build or buy?Stan [00:51:41]: I mean, there's always an interesting question. We've been building a lot around the interface between models and because Dust, the original version, was an orchestration platform and we basically provide a unified interface to every model providers.Swyx [00:51:56]: That's what I call gateway.Stan [00:51:57]: That we add because Dust was that and so we continued building upon and we own it. But that's an interesting question was in you, you want to build that or buy it?Swyx [00:52:06]: Yeah, I always say light LLM is the current open source consensus.Stan [00:52:09]: Exactly, yeah. There's an interesting question there.Swyx [00:52:12]: Ops, Datadog, just tracking.Stan [00:52:14]: Oh yeah, so Datadog is an obvious... What are the mistakes that I regret? I started as pure JavaScript, not TypeScript, and I think you want to, if you're wondering, oh, I want to go fast, I'll do a little bit of JavaScript. No, don't, just start with TypeScript. I see, okay.Swyx [00:52:30]: So interesting, you are a research engineer that came out of OpenAI that bet on TypeScript.Stan [00:52:36]: Well, the reality is that if you're building a product, you're going to be doing a lot of JavaScript, right? And Next, we're using Next as an example. It's

Yankee Stadium fans ejected for prying ball from Mookie Betts' glove. 3 arrested for series of violent ‘follow-away' robberies across Southern California. Among the newest dating events in L.A. is All Hands-on Deck, a live matchmaking party where people pitch their single friends to an audience with a four-minute slide deck presentation. LA Voting.

In this episode, Camille continues her volunteer work with All Hands and Hearts, helping with the disaster relief following hurricane Helene in North and South Carolina.This week has been eventful, and she eager to share her experiences, even if it leans a bit toward self-reflection. There is value in her insights despite the personal nature of her reflections. Camille's intent is to balance sharing her journey with providing you something meaningful to take away, making this more than just a monologue. She wants to capture the essence of this week, not only for herself but also for anyone tuning in.Currently, she is on the road, volunteering in North Carolina, having just come from South Carolina. Due to her travel circumstances, the audio quality may not match what you're used to, as she is recording with basic headphones instead of her usual microphone setup. In this episode, Camille will cover four main topics, with a focus on All Hands and Hearts and the unique experience of volunteering remotely. First, she'll explain what the organization does, which is to provide both immediate relief and long-term rebuilding for communities affected by natural disasters. Founded in 2005, they mobilize volunteers from around the world, even those with no prior construction experience, to assist in disaster-stricken areas, including locations like the Caribbean, Nepal, and the U.S. Their response is swift; in North Carolina, they set up operations just three days after Hurricane Helene.Next, she will highlight the collaborative approach of All Hands and Hearts, which partners with other organizations and governmental bodies like FEMA. This teamwork enhances the effectiveness of their relief efforts, ensuring that they can mobilize resources and support as needed. Each project site is staffed with experts who guide and train volunteers on the necessary tasks, from safety precautions to using tools properly. This mentorship is crucial for those learning on the job, and it demonstrates the importance of having experienced leaders available.Lastly, she will connect her volunteering experience to the broader theme of working remotely. While many people focus on specific technical skills when seeking employment, the willingness to learn and adaptability are equally valuable. Just as All Hands and Hearts prioritizes trainable individuals, employers in any field often seek candidates with strong soft skills and a coachable mindset. So, don't underestimate your potential; you likely possess transferable skills that can be developed further, whether in volunteer work or a remote job.Here is Camille's direct link for All Hands and All Hearts, the organization she will be working with, and she talks about in this episode. All donations will go directly to them. Please feel free to share.https://give.allhandsandhearts.org/camilleClick here to read the show notes for this episode:https://www.camilleattell.com/blog/101You can also take her FREE training at:www.camilleattell.com/remote-trainingIf you want to learn more about how to leverage your digital products or service visit:www.camilleattell.com/remoteworkschool Connect with Camille on Instagram: @camille.attellConnect with Camille on Linkedin: Camille Attell, MARead more about the RV and Remote Work Lifestyle at https://www.morethanawheelin.com/

In this episode. Camille introduces us to her friend, Bill Trinkle, in an interview about her upcoming volunteer efforts to assist with the Helene disaster recovery in the Ashville, North Carolins area, and how their mutual ties to that community has brought them together for a few days. Bill and his wife, Porter, have hosted Camille for a few days so she can gather the rest of the supplies needed and have a day or two to get organized and prepare for her 6-week commitment to the cause. Since they are only a few hours from the ground site, they will be transporting Camille and her belongings to the base camp. They will talk RVing and remote work, complete with an amusing story, and the more serious ramifications of the disastrous conditions Helene left in her wake. And, as in last week's episode, Camille will also provide her direct link for donations to All Hands and Hearts, the organization with which Camille is volunteering. Here is Camille's direct link for All Hands and All Hearts, the organization she will be working with, and she talks about in this episode. All donations will go directly to them. Please feel free to share.https://give.allhandsandhearts.org/camilleClick here to read the show notes for this episode:https://www.camilleattell.com/blog/101You can also take her FREE training at:www.camilleattell.com/remote-trainingIf you want to learn more about how to leverage your digital products or service visit:www.camilleattell.com/remoteworkschool Connect with Camille on Instagram: @camille.attellConnect with Camille on Linkedin: Camille Attell, MARead more about the RV and Remote Work Lifestyle at https://www.morethanawheelin.com/

In episode 100, Camille is going to share about her 6-week journey to North Carolina, to help out with the Hurricane Helene disaster recovery efforts.Join Camille as she explains how and why she has decided to undertake this journey at this point in time. She is going to give you some really interesting insight into a past experience that influenced this decision and what the expects to be doing and experiencing during this 6-week venture.So, kick back, grab some coffee, or whatever, and enjoy the return of the Remote Work Retirement Show podcast.Here is Camille's direct link for All Hands and All Hearts, the organization she will be working with, and she talks about in this episode. All donations will go directly to them. Please feel free to share.https://give.allhandsandhearts.org/camilleClick here to read the show notes for this episode:https://www.camilleattell.com/blog/100You can also take her FREE training at:www.camilleattell.com/remote-trainingIf you want to learn more about how to leverage your digital products or service visit: www.camilleattell.com/remoteworkschool Connect with Camille on Instagram: @camille.attell Connect with Camille on Linkedin: Camille Attell, MARead more about the RV and Remote Work Lifestyle at https://www.morethanawheelin.com/ Welcome to The Remote Work Retirement Show, the only show that is dedicated to remote work for semi-retirees, people leaving the workforce, and people working in retirement to help them have the peace of mind that they can live how they want without the fear of running out of money. **DISCLAIMER: This podcast is not a substitute for professional consultation. For any retirement or income-related matters, it is best to work with a professional advisor.** 

Get 15% off OneSkin with the code DWKT at https://www.oneskin.co #oneskinpod If you're looking to donate and support relief efforts for Hurricane Milton and/or Hurricane Helene, below are several links to reputable organizations actively providing aid to the affected communities. All Hands and Hearts (Hurricane Milton): https://www.allhandsandhearts.org/storm-tracker/hurricane-milton-2024/ All Hands and Hearts (Hurricane Helene): https://www.allhandsandhearts.org/programs/hurricane-helene-relief/ American Red Cross (Hurricane Helene, Hurricane Milton, or both):  https://www.redcross.org/donate/donation.html/  The Humane Society (Helping Animals in Need of Rescue and/or Medical Attention) https://secured.humanesociety.org/page/82188/donate/1  Direct Relief (Hurricane Helene): https://www.directrelief.org/emergency/hurricane-helene/  Global Giving (Hurricane Milton): https://www.globalgiving.org/projects/hurricane-milton-relief-fund/  Hurricane Relief Boxes in Tampa (Organized by CC Suarez) https://www.amazon.com/registries/gl/guest-view/2ZJCCBQVARIXP   In today's episode, we start out with a few different influencers that have been facing quite a bit of backlash after they seemingly ignored hurricane warnings to proceed with their planned Disney vacations. Spoiler alert: there was a hurricane. Then we switch gears to talk about a messy situation unfolding between several different people on TikTok and honestly, we don't really know who to believe at this point but it involves a man claiming to have agreed to be the 'sperm donor' for a woman he identifies as nothing more than a one night stand (who he then agreed to father her child), but despite an "iron clad agreement", things got messy and are only getting messier as it evolves into quite the rabbit hole, involving a a love triangle, paternity tests, and ...well, chaos. 0:00 Intro  4:58 Influencers Go To Disney During Hurricane  54:24 Messy love triangle - who's lying?? 1:21:51 We love the internet! We hope you enjoyed this episode! Please let us know on Twitter or Instagram if you have any topic suggestions for next Sunday! (@lily_marston & @jessismiles__) Business Inquiries: doweknowthempodcast@gmail.com

In this episode, we dive into “Watermarkisms;” the phrases and sayings that help shape the culture at Watermark Community Church. John McGee and Ashley Lawrence unpack the importance of the words we choose, how they influence your team, and create a culture of ownership.Watermark's Owners ManualPopular Phrases We Say Around Watermark:1. Ride Along2. Think Like an Owner3. Last 2%/ 24-Hour Rule/ Widen the Circle4. Preach, Pray, or Die5. Faithfulness of the Leader, Faithfulness of the Team6. Farkle/ That's a Way to Lose!/ High-Risk High-Reward7. Find the One8. How's Your Ministry?9. Stay in the Ring With Me10. All Hands on Deck11. The Most Important 100 are the Next 100Bonus: Knock Your Socks Off

We bring you a special Keep it Rural this week. Claire speaks with her colleague, Daily Yonder reporter Sarah Melotte about the devastating hurricane Helene. Sarah is currently unable to get to her home in Bakersville, North Carolina. She lives in the western part of the state where roads in and out are completely flooded. Claire talked with her about what it's been like to see her community reeling from a hurricane, and what it all means for rural Appalachia.  If you have reporting ideas about Hurricane Helene or want to share your experiences, email Sarah Melotte at sarah@dailyyonder.com To contribute to Hurricane Helene recovery efforts, visit: Homeward Bound of Western North Carolina: https://homewardboundwnc.org/The World Central Kitchen: https://wck.org/All Hands and Hearts: https://www.allhandsandhearts.org/

In this episode of Imagining Arc, Josh focuses on his responsibility as a CEO to staff and resource a team around one singular goal. He reflects on three key inflection points in the business - switching from Electron to Swift, building Windows on Swift, and nailing a prototype for Arc Search - and how those big decisions throughout Browser Company's history have set us up for building Arc 2.0 today.  We love hearing from you at joshm@thebrowser.company. Chapters: 00:00 - How do you staff and resource towards one goal? 00:40 - Recapping one the most inspiring All Hands ever 00:56 - Welcoming a dear friend to Browser Company  02:17 - A talk for the ages from Ben, Alexandra and Samir 03:26 - Moving the entire company to Arc 2.0? 04:04 - 3 inflection decisions and a trip down memory lane 04:36 - Switching from Electron to Swift 06:13 - Building Windows in Swift 07:30 - Prototyping 30-50 Arc Searches 10:02 - Being held back by novelty tax 11:15 - Brainstorming the Dinner Party Test in Paris 11:38 - “Saving you 1,000 clicks” 12:10 - We are going to do your busy work for you 12:34 - Taking room to dream a little bit 13:42 - From two pods to repositioning the company 15:05 - Texas Hold Em and taking the risk 16:27 - Shoutouts and emails - joshm@thebrowser.company In this episode: Our original bet on Swift for Windows Our decision to build in Swift over Electron Welcoming Cemre to The Browser Company

In this episode, Barry Feaker, CEO of Compassion Strategies, and Brett Martin, VP of Community Impact for United Way of Kaw Valley, dive into the "All Hands on Deck" initiative, a bold response to Topeka's homelessness crisis. They discuss the origins, challenges, and community's role in this united effort to find real solutions, emphasizing collaboration, compassion, and the power of community action. This conversation is a call to action for all of us to make a difference.To learn more about TRM Ministries: Click Here!To support TRM, Click Here! Send us a Message!

In episode seven of our Community-based Solutions for Substance Use Challenges season, Just Science sits down with Cristi Cain, Local Public Health Section Director at the Kansas Department of Health and Environment, and Sally Wright, the All Hands on DECK, or Drug Endangered Children Kansas, Program Manager for the Kansas Department of Health & Environment, to discuss their COSSUP-funded All Hands on DECK Program, which helps support drug endangered youth and families across the state of Kansas. In Kansas and across the country, many children and infants are living in an environment where a caretaker uses substances or where they are born exposed to substances. In response, the Kansas Department of Health and Environment supports eighteen local jurisdictions who are implementing a range of activities to support drug endangered youth, including providing family care bags, administering community and school-based drug awareness trainings, distributing naloxone, and more. Listen along as Sally and Cristi discuss some of the catalysts for creating a youth-focused program in their state, how each local site is identifying and addressing unique needs within their community, and some of the challenges and successes the DECK program has experienced so far. This Just Science season is supported, in part, by RTI Award No. 15PNIJ-21-GK-02192-MUMU, awarded by the National Institute of Justice, and by RTI Award No. 15PBJA-23-GK-02250-COAP, awarded by the Bureau of Justice Assistance. Both are agencies within the Office of Justice Programs, U.S. Department of Justice.

In this episode, Andrea LaRowe, Head of People Operations at 37signals, joins host Kimberly Rhodes to answer questions about the company's HR practices. They discuss the company's management structure and performance evaluations and what the company looks for when hiring. Andrea also shares what's involved in the All Hands meeting and tips for planning a company meet-up.Key Takeaways:00:42 - Meet Andrea02:19 - 37signals' managerial structure and one-on-one process06:15 - 360 evaluations and annual employee reviews09:38 - What job applicants can do to stand out12:45 - All-hands meetings17:21 - Company meetups21:57 - Hiring employees using the ‘manager of one' conceptLinks and Resources:Jobs at 37signalsBooks by 37signalsSign up for a 30-day free trial at Basecamp.comOnce software productsHEY World | HEYThe REWORK podcastThe Rework Podcast on YouTubeThe 37signals Dev Blog37signals on YouTube@37signals on X

Ethan interviews two teachers and co-authors of the bold new book How We Ended Racism: Realizing A New Possibility in One Generation, Justin Michael Williams and Shelly Tygielski. The conversation bridges optimism and pragmatism, along with inner and collective work. Take a listen! Justin Michael Williams brings people together across divides with a multigenerational message of hope, empowerment, and unity. He is an award-winning speaker, Grammy®-nominated recording artist, and author of Stay Woke: A Meditation Guide for the Rest of Us. For more, visit justinmichaelwilliams.com. Shelly Tygielski is a trauma-informed mindfulness teacher, speaker, and activist. She founded the CNN Hero-featured global grassroots organization Pandemic of Love, is the co-host and executive producer of the television series All Hands on Deck, and is the author of Sit Down to Rise Up. For more, visit shellytygielski.com. Check out their new book How We Ended Racism: Realizing A New Possibility in One Generation wherever you get your books. Please remember to pick up a copy of Confidence: Holding Your Seat Through Life's Eight Worldly Winds out this week! The book is now out in Paperback, E-book, and Audiobook! Check out all the cool offerings at our sponsor Dharma Moon, including upcoming Mindfulness Meditation Teacher Training starting June 14. Check out Ethan's Four Week Summer Course in July-August "Confidence and Windhorse."

This week Hank is joined by his good friend Artist Ed Anderson to chat about Alaska Edventures, Florida Edventures, All Hands coctail beverages, FOMO and the ElkCamino project. Also chiming in are Hank's friends Nate and Rachel. This one's a dooozy. Enjoy!

What role do drums play in Rock? Should that be keeping the beat or leading from the front? Who are some of the greatest drummers in rock music? The beat goes on as Jim DeRogatis and Greg Kot focus on the contributions of drummers to rock music with drummer Joe Wong. Wong also hosts a podcast on drummers called The Trap Set. There's also an interview with Bernard Purdie.Join our Facebook Group: https://bit.ly/3sivr9TBecome a member on Patreon: https://bit.ly/3slWZvcSign up for our newsletter: https://bit.ly/3eEvRnGMake a donation via PayPal: https://bit.ly/3dmt9lUSend us a Voice Memo: Desktop: bit.ly/2RyD5Ah Mobile: sayhi.chat/soundops Featured Songs:The Beatles, "Come Together," Abbey Road, Apple, 1969The Beatles, "With A Little Help From My Friends," Sgt. Pepper's Lonely Hearts Club Band, Parlophone, 1967James Brown, "Funky Drummer," Funky Drummer (single), King, 1970Wild Flag, "Romance," Wild Flag, Merge, 2011Little Richard And His Band, "Heeby-Jeebies," She's Got It (single), Specialty, 1956Michael Jackson, "Billie Jean," Thriller, Epic, 1982Earth Wind and Fire, "Can't Hide Love," Gratitude, Columbia, 1975Rush, "Tom Sawyer," Moving Pictures, Mercury, 1981Elvin Jones, "Agappe Love," Poly-Currents, Blue Note, 1970The Rolling Stones, "Paint It Black," Paint It Black (single), Decca, 1966Battles, "Atlas," Mirrored, Warp, 2007Can, "Paperhouse," Tago Mago, United Artists, 1971The Who, "Young Man Blues," Live at Leeds, Decca, 1970The Who, "I Can See For Miles," I Can See For Miles (single), Track, 1967Dennis Coffey, "Scorpio," Evolution, Sussex, 1971Queen, "Fat Bottomed Girls," Jazz, EMI, 1978Violent Femmes, "Blister In the Sun," Blister in the Sun (single), Slash, 1983Phil Collins, "In The Air Tonight," Face Value, Virgin, 1981Fela Kuti, "Zombie," Zombie, Coconut, 1976Aretha Franklin, "Rock Steady," Rock Steady (single), Atlantic, 1971Led Zeppelin, "Rock and Roll," Led Zepplin IV, Atlantic, 1971Led Zeppelin, "Dazed and Confused," Led Zeppelin, Atlantic, 1969Led Zeppelin, "Stairway To Heaven," Led Zepplin IV, Atlantic, 1971Public Image Ltd., "Under the House," The Flowers of Romance, Virgin, 1981Led Zeppelin, "When the Levee Breaks," Led Zeppelin IV, Atlantic, 1971Sleater-Kinney, "Youth Decay," All Hands on the Bad One, Kill Rock Stars, 2000XTC, "Senses Working Overtime," English Settlement, Virgin, 1982James Brown, "I Got the Feelin'," I Got the Feelin', King, 1968Rolling Stones, "Honky Tonk Woman," Honky Tonk Woman (Single), Decca, 1969The Stairsteps, "O-o-h Child," O-o-h Child (single), Buddah, 1970Doris Troy, "Just One Look," Just One Look (single), Atlantic, 1963Gil Scott-Heron, "The Revolution Will Not Be Televised," The Revolution Will Not Be Televised, Flying Dutchman, 1974The Exciters, "Tell Him," Tell Him (single), United Artists, 1962Melvin Bliss, "Synthetic Substitution," Reward (single), Sunburst, 1973Public Enemy, "Don't Believe The Hype," It Takes a Nation Of Millions To Hold Us Back, Def Jam, 1988Ultra Magnetic M.C.s, "Ego Trippin'," Ego Trippin' (single), Next Plateau, 1986Naughty By Nature, "O.P.P. (instrumental version)," O.P.P. (single), Tommy Boy, 1991EPMD, "I'm Housin'," Strictly Business, Fresh, 1988Wale, "Lacefrontin'," The Eleven One Eleven Theory, Maybach Music, 2011Steely Dan, "Home At Last," Aja, ABC, 1977The MC5, "Kick Out the Jams," Kick Out the Jams, Elektra, 1969See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.