Podcasts about etched

Send us a textThe 103th anniversary of the most violent labor battle in the U.S. is June 21-22, 2025. This is the story of the Herrin Coal Massacre of 1922.*Originally released as episode 508 in June 2022.Show some love for the podcast for the cost of a cup of coffee and help offset production costs:https://www.buymeacoffee.com/chicagohistoryLooking for gift ideas for the history nerd in your life AND a way to help the show?https://www.podpage.com/chicago-history-podcast/support/Amazon Affiliate Links (anything you buy - not just this stuff - through these links helps benefit the show):Herrin Massacre of 1922, The: Blood and and Coal in the Heart of America by Greg Baileyhttps://amzn.to/3zM3ajtHerrin Massacre by Scott Doodyhttps://amzn.to/3QoiQiRVictims of the Herrin Massacre: The dead and survivors of the Herrin Mine War of June 21st and 22nd, 1922 by John L. Fosterhttps://amzn.to/3HyUZJ6Bloody Williamson by Paul M. Anglehttps://amzn.to/3OigShSJoin Kindle Unlimited here: https://amzn.to/2WsP1GHCHICAGO ITEMS (PERFECT FOR GIFT GIVING):Greenline Goods Whiskey Glasses - 10 Oz Tumbler Gift Set for Chicago lovers, Etched with Chicago Map | Old Fashioned Rocks Glass - Set of 2https://amzn.to/3FrjSFrChicago Map Coasters by O3 Design Studio, Set Of 4, Sapele Wooden Coaster With City Map, Handmadehttps://amzn.to/3vNyDiNPodcast art by John K. Schneider - angeleyesartjks AT gmail.comhttps://www.chicagohistorypod.comEmail: chicagohistorypod AT gmail.comSupport the show

In this special Memorial Day  of The Christian Car Guy Show, host Robby Dilmore explores the powerful themes of sacrifice, remembrance, and faith through the enduring symbolism of stone. Drawing connections between America's founding at Plymouth Rock, the traditions of Memorial Day, and biblical references—including reflections from a recent trip to Israel—the episode weaves history and spirituality into a heartfelt tribute.

What if you could immortalise your intellectual property forever?This week, I'm joined by Ben Scott, Joshua Scott and Victor Caddy, the three innovators behind Etched Tech, a platform redefining how we protect creativity and ownership. From blockchain-backed IP management to closing gaps in legal protection, these three bring expertise from sport, tech and law to create something truly game-changing.If you're ready to discover the future of intellectual property, this episode is a must-listen. Tune in now to see how innovation meets protection.So why should you be listening in? You can hear Rob, Ben, Joshua and Victor discussing:- Etched Tech as a Powerful and Useful Blockchain-Powered Platform- The Diverse Backgrounds That the Three Co-Founders Bring to the Table- The Numerous Challenges with Copyright Protection- How Etched tech and the Co-Founders Aim to Make IP Protection Seamless- Coping with the Current Economic Climate to Secure Startup FundingConnect with Ben here - https://uk.linkedin.com/in/benscott22Connect with Joshua here - https://uk.linkedin.com/in/joshua-scott-839a04215Connect with Victor here - https://uk.linkedin.com/in/victorcaddy

For many years, archeological findings have made the validity and accuracy of the Bible undeniable. On today's edition of Family Talk, Dr. James Dobson interviews David and Lisette Brody to discuss Lisette's book, Etched in Stone. They share various discoveries that verify the existence of biblical characters and places, and challenge unbelievers with the authenticity of the Bible. Jesus declared in Luke 19:40, “I tell you, if they keep quiet, the stones will cry out.” To support this ministry financially, visit: https://www.oneplace.com/donate/707/29

What if your body isn't broken… it's just remembering? In this prophetic and power-packed episode, Mark Casto takes you deep into the mystery of embodiment—exploring how your body stores memories of trauma, pain, and even eternity itself. Blending Scripture, neuroscience, and Spirit-led revelation, this episode will rewire how you see healing, purpose, and your physical body. You'll learn how trauma imprints the nervous system, why your physical symptoms might be a messenger—not a malfunction—and how the memory of Eden is still echoing in your cells today. This isn't just an episode—it's a healing encounter. It's a call to return to peace, union, and wholeness so you can build from identity, not burnout.

Could ancient Viking myths be fragments of real encounters with off-world intelligence - encoded in stone, preserved in saga, and misunderstood for centuries? What if the gods they worshipped were never divine, just advanced? And what if they never truly left?​​If you are having a mental health crisis and need immediate help, please go to ​https://troubledminds.org/help/ and call somebody right now. Reaching out for support is a sign of strength.​​LIVE ON Digital Radio! Http://bit.ly/40KBtlW​​http://www.troubledminds.net or ​https://www.troubledminds.org​​Support The Show!​https://www.spreaker.com/podcast/troubled-minds-radio--4953916/support​https://ko-fi.com/troubledminds​https://patreon.com/troubledminds​https://www.buymeacoffee.com/troubledminds​https://troubledfans.com​​Friends of Troubled Minds! - ​https://troubledminds.org/friends​​Show Schedule Sun--Tues--Thurs--Fri 7-10pst​iTunes - ​https://apple.co/2zZ4hx6​Spotify - ​https://spoti.fi/2UgyzqM​TuneIn - ​https://bit.ly/2FZOErS​Twitter - ​https://bit.ly/2CYB71U​----------------------------------------​​https://troubledminds.substack.com/p/viking-superpowers-etched-in-nordic​​https://a.co/d/7U5Ejqi US AMAZON​​https://amzn.asia/d/9zdMrBC AUSTRALIA AMAZON​​https://www.facebook.com/davidstewartlovegrove​​https://en.wikipedia.org/wiki/Snorri_Sturluson​​https://www.thecollector.com/who-was-snorri-sturluson-norse-myth/

Colossians 4:7-18 "Etched in History"

New Zealand First wants the definition of a woman and a man etched into the law. Britain's Supreme Court has ruled the legal definition should relate to biological sex - excluding transgender women. Leader Winston Peters says the Bill would define a woman as an adult human biological female, and a man as an adult human biological male. NZ Herald political editor Thomas Coughlan says it's unclear if a Bill of this nature will come to pass. LISTEN ABOVESee omnystudio.com/listener for privacy information.

Mike Schopp and The Bulldog talk about the Masters final round and playoff hole in the first hour of the show.

Download The Sound 228 Radio app --> Apple or Android Etched in Embers joins us to talk about their latest single "Gemini".  Get your merch Here! Social Links Here. We Are New Rock!!!

Today's show: In this episode, Alex and Lon kick things off with the latest tech news — including 23andMe's dramatic collapse, MicroStrategy's half-million Bitcoin haul, and whether we're finally seeing a rebound in startup M&A. Then they sit down with three standout founders building the future across AI chips, data privacy, and healthcare. First up, Etched CEO Gavin Uberti explains why they're betting big on transformer-specific ASICs. Then, Skyflow co-founder Anshu Sharma breaks down how they're helping enterprises use LLMs without leaking private data. Finally, MedServe's team walks us through how they're securing medications in outpatient clinics and staying on the right side of the DEA.*Timestamps:(0:00) Alex kicks off the show(1:15) 23andMe bankruptcy and SPACs impact(5:23) MicroStrategy's Bitcoin strategy(8:58) Increase in M&A activity and market trends(10:06) Northwest Registered Agent - Get a 60% discount on your next LLC at https://www.northwestregisteredagent.com/twist(13:37) Browser use, agentic AI, and VC market insights(19:28) Financial responsibility in startups(20:28) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(21:56) Interview with Gavin Uberti of Etched(30:32) Fidelity Private Shares℠ - Visit ⁠https://www.fidelityprivateshares.com ! Mention our podcast and receive 20% off your first-year paid subscription.(32:12) Economic and technical aspects of chip efficiency(39:53) Etched's market demand, manufacturing, and AI scaling(43:05) Founder insights and hardware startup potential(45:43) Introduction to Skyflow and Anshu Sharma(50:19) Skyflow's growth and customer acquisition strategies(1:03:09) ServiceNow's new product and Skyflow's bullish outlook(1:06:33) M&A interest and AI stack value creation(1:12:06) Skyflow's funding and cybersecurity customer trust(1:13:12) Introduction to MedServe and Milwaukee's startup ecosystem(1:16:30) MedServ's solution to drug dispensing and diversion(1:23:05) Economic challenges and solutions for smaller facilities(1:26:50) MedServe cabinet features and use case demonstration(1:29:51) Cybersecurity and physical security of MedServe systems*Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Etched:Website: https://www.etched.com/X: https://x.com/EtchedLinkedIn: https://www.linkedin.com/company/etched-ai/*Follow MedServe:Website: https://medserverx.com/X: https://x.com/MedServeRXLinkedIn: https://www.linkedin.com/company/medserverx/*Follow Skyflow:Website: https://www.skyflow.com/X: https://x.com/SkyflowAPILinkedIn: https://www.linkedin.com/company/skyflow/*Follow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm*Follow Lon:X: https://x.com/Lons*Thank you to our partners:(10:06) Northwest Registered Agent - Get a 60% discount on your next LLC at https://www.northwestregisteredagent.com/twist(20:28) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(30:32) Fidelity Private Shares℠ - Visit https://www.fidelityprivateshares.com ⁠ Mention our podcast and receive 20% off your first-year paid subscription.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland*Check out Jason's suite of newsletters: https://substack.com/@calacanis*Follow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com*Subscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

In this episode of Kingdom Puruits, Robby introduces three guests with extraordinary stories: Rogelio, a Mexican physician who volunteered with Israel's Magandavid Adom (equivalent to the American Red Cross) Mark Liu, author of the book "Etched in Stone," which explores a storyline based on a mysterious stone with biblical origin. Paul Renfro, author of "Nobody Sees These Nations," which discusses the spiritual battles and darkness ruling through principalities. The show dives deep into each guest's experiences and insights, revealing stories of faith, passion, and divine encounters.

Listen like Thieves vs Elegantly Wasted Time to get back to the music that filled our heads, hearts & eardrums over the years with our song showdown episode. With the 28th anniversary of Elegantly Wasted single upon us, the Bee contends that it's the greatest INXS song that namesakes an album title. Haydn, takes the contrary view that Listen Like Thieves is the greatest single release that namesakes an actual album release. “So Houston, we have a problem” that requires a deep dive debate with opposing thoughts, views and opinions. Etched in pour collective minds and souls, both tracks managed to traverse INXS' recording career at starkly different times. Listen like Thieves, the last ever single released that was a full band songwriting compilation and Elegantly Wasted, recorded uniquely in Ireland at a time post a Michael & Andrew night out on the town with Bono from U2. Either way, both songs serve as a signpost of INXS' incredible versatility in musicianship and songwriting. With a jam packed news section to add, there is no other place to be this week than with the INXS: Access all Areas Podcast team! Love and peace Make you vote below and lets see who you agree with. Obviously we love them both but this is just a bit of fun. check out our facebook page to make your votes plus email the podcast if you would like to know more about the event on the 10th May  INXSAAA@gmail.com   https://www.inxsaccessallareas.com  

Of the various materials needed for the construction of the Tabernacle were Shoham and Miluim stones. These stones were inlaid into the brackets in the Kohein Gadol's Choshen (decorative breastplate containing twelve precious stones) and Ephod (apron-like garment with extending shoulder straps) respectively. What is the symbolism behind these stones and what lessons can we […]

Of the various materials needed for the construction of the Tabernacle were Shoham and Miluim stones. These stones were inlaid into the brackets in the Kohein Gadol's Choshen (decorative breastplate containing twelve precious stones) and Ephod (apron-like garment with extending shoulder straps) respectively. What is the symbolism behind these stones and what lessons can we learn from them? In this special edition of the Parsha Podcast we explore the fascinating subject of the gemstones of the High Priest.– – – – – – – – – – – – – – – – – – – – – –DONATE to TORCH: Please consider supporting the podcasts by making a donation to help fund our Jewish outreach and educational efforts at https://www.torchweb.org/support.php. Thank you!– – – – – – – – – – – – – – – – – – – – – –Email me with questions, comments, and feedback: rabbiwolbe@gmail.com– – – – – – – – – – – – – – – – – – – – – –SUBSCRIBE to my Newsletterrabbiwolbe.com/newsletter– – – – – – – – – – – – – – – – – – – – – –SUBSCRIBE to Rabbi Yaakov Wolbe's PodcastsThe Parsha PodcastThe Jewish History PodcastThe Mitzvah Podcast This Jewish LifeThe Ethics PodcastTORAH 101 ★ Support this podcast ★

RTÉ Northern Correspondent Conor Macauley reports from Omagh, where the final day of commemorative hearings on the deadly 1998 bombing is taking place.

Yo, Priyavrata's saga, a legend's birth, Etched in time's core, proving its worth. Manu, weary king, his reign complete, Stepped down from power, a noble retreat. Problem was Priyavrata, his son, detached from worldly snares, A student of Narada, whose wisdom beyond compare. Brahma intervened, with a heartfelt prayer, “Accept the throne, so citizens won't […] The post King Priyavrata Song appeared first on Radha Krishna Temple in Utah.

Much of Paul's reasoning as he writes to the Romans is quite profound: it needs careful thought for us to get our minds around some of the points he is making. In chapter 3 he is setting out the parallel principles (and how they converge) for the Jews who observe the law in the right spirit – and are “right” in the eyes of God and what he says of   “the law of faith” [v.27] that applies to all believers.   It seems strange to apply the word “Law” to the operation of faith.  Some modern versions (eg NIV) drop the word ‘law' but it is in the Gk. Text.  We note v. 20-22 where Paul states, “by the works of the law no human being will be justified in his sight, since through the law comes the knowledge of sin.  But now the righteousness of God has been manifested apart from the law, although the Law and the Prophets bear witness to it – the righteousness of God through faith in Jesus Christ …”  For this reason our reading of all of God's word is necessary. The more we are conscious of the precepts of God's laws the more we become aware of our failure to keep them in one way or another.  It therefore became clear that something more than keeping the letter of the Law was necessary.  Paul is appealing to Jewish ways of thinking – this leads him to use the phrase “the law of faith.”  He writes of the “divine forbearance” as God “passed over former sins. It was to show his righteousness at the present time, so that he might be just and the justifier of the one who has faith in Jesus.” [v.25,26]   Etched in Paul's mind, must have been the words of Stephen as he stood alongside those stoning him, “Lord, do not hold this sin against them” [Acts 7 v.60] Jesus made the same appeal as they led him to the cross – see Luke 23 v.34 Does this mean that God now overlooks all our sins if we have faith in Jesus? Paul asks the Romans. “are we to continue in sin that grace may abound?” And the answer – “By no means!” [ch.6 v.1,2]  The failure of the Jews, zealous for the Law in the time of Jesus, was highlighted by their self-righteousness – and a spirit of boasting. Paul now warns any who may have this attitude – “… what becomes of our boasting? It is excluded.  By what kind of law?  By the law of works? No, but by the law of faith “ [v.27] What does the word “law” mean to you?  We read “by works of the law” no one is “justified in his sight”  We sense that “justified' means ‘seen to be righteous – in God's eyes.    Faith is not a ‘Law' in the ordinary sense.  In Ch. 4 Paul gives the example of Abraham and how “his faith is counted as righteousness” [v.3]. May we live by “the law of faith”, a faith which ‘inspires' us and excludes boasting, and becomes a “law” governing all our thinking – and therefore our actions.

Could cryptic messages on ammo found at the crime scene where a UnitedHealth CEO was assassinated, hold clues to a motive? Plus, investigators find more evidence they hope will catch the killer! A Virginia man already behind bars for killing his ex, is now accused of the cold-blooded hit on his young wife.  A teacher in Florida is found in a classroom...naked, with sex toys. Plus, Did OJ finally admit to doing it? Revelations on the latest bombshell double-murder confession find.  Jennifer Gould reports.See omnystudio.com/listener for privacy information.

The NYPD is asking for the public's help in a massive manhunt for the man wanted in connection to the murder of Brian Thompson. The CEO was gunned down as an assailant was waiting on his arrival to a NYC conference. See omnystudio.com/listener for privacy information.

We hope those of you in the U.S. had a Happy Thanksgiving! And as a holiday treat this week, Equity is bringing you an episode of our sister show, Found. AI startups are everywhere, but there can't be any innovation without proper computing power. Found hosts Becca and Dom sat down with Gavin Uberti, co-founder and CEO of Etched, an AI chip startup focusing on developing specialized chips. Gavin shares the bold bet his startup is making on transformer models for AI chips, aiming to take on industry giant Nvidia. They discuss how Etched is developing specialized chips that they claim will be an order of magnitude faster than competitors, and Uberti shares his insights on the future of AI hardware as models continue to rapidly scale up in size and capability.Found posts every Tuesday. Subscribe on Apple, Spotify or wherever you listen to podcasts to be alerted when new episodes drop. Check out the other TechCrunch podcast: Equity . Subscribe to Found to hear more stories from founders each week. Credits: Equity is produced by Theresa Loconsolo with editing by Kell. Bryce Durbin is our Illustrator. We'd also like to thank the audience development team and Henry Pickavet, who manages TechCrunch audio products.

Plus AI Grandmas Beat Phone Scammers Like this? Get AIDAILY, delivered to your inbox, every weekday. Subscribe to our newsletter at https://aidaily.us Oasis: The First AI-Generated Game Offers a Surreal, Shape-Shifting World Oasis, an AI-generated Minecraft-style game, creates a dynamic 3D world where landscapes morph in real time with player movement. Developed by Decart and Etched, the game learns from gameplay data, generating new environments and items on the fly. Though experimental, it showcases AI's potential in gaming. Are AI Clones the Future of Dating? One Reporter Tests the Concept Exploring AI-assisted dating, a writer trained bots to act as his “dating clones.” Through apps like Ice and Volar, these clones engaged in conversations and even had “first dates” with other bots. The experiment revealed that while AI offers some novelty, it lacks genuine connection, leaving dating as human-centric as ever.  Meet ‘Daisy': The AI Grandmother Wasting Scammers' Time Virgin Media O2 has launched “Daisy,” an AI designed to outwit phone scammers by keeping them on the line with grandma-like stories. Developed in partnership with scambuster Jim Browning, Daisy's rambling responses reduce scammers' time targeting real people. This initiative aims to counteract rising impersonation fraud, particularly among seniors. Andreessen: AI's Limits Spark Human Job Growth in Tech Venture capitalist Marc Andreessen asserts AI's data limitations are driving a hiring boom for specialized tech roles. As large language models run low on human data, firms increasingly hire experts to train AI directly, creating short-term job growth even as AI's long-term impact remains uncertain. AI Script Inspired by Herzog Becomes 'About a Hero' Piotr Winiewicz's About a Hero is an AI-scripted, hybrid feature debut inspired by Werner Herzog's work. Featuring Vicky Krieps and Stephen Fry, the film explores originality and the soul in AI-driven creativity, using an AI trained on Herzog's scripts to create a murder mystery narrative intertwined with philosophical reflections. New AI Tool SEQUOIA Detects Cancer Gene Signatures from Biopsy Images SEQUOIA, a groundbreaking AI model, analyzes stained tumor biopsy images to predict gene activity with high accuracy, achieving over 80% correlation in some cancers. Tested on breast cancer patients, SEQUOIA matched genomic risk scores similar to FDA-approved tests, suggesting a future where costly gene tests may become unnecessary. AI's Growing Role in Popular Substack Newsletters AI tools are increasingly used by some of Substack's biggest creators, particularly in financial and news-focused newsletters. Despite limited official policies on AI content, Substack's audience is engaging with AI-assisted writing, potentially sparking demand for "human-only" content certifications.

The top four go in as favorites, and the top four leave as semifinalists. There were no upsets in the NWSL quarterfinals, as Orlando, Washington, Gotham, and Kansas City all moved on. Some games were unprecedented blowouts, like the Pride's demolition of the Red Stars (0:57). Others were tighter affair than anticipated, as the Current's defeat of the Courage proved to be (12:49). The final two match-ups were dreary, attritional affairs until they very much weren't, as the Spirit got past a resilient Bay FC (22:42) and Gotham pipped the Thorns at the death (34:49). What will the semifinals between Orlando-KC (46:09) and Washington-Gotham (56:46) be like? Is each match really a coin flip? The Guys get into all of it. Subscribe to our Patreon for only $6/month and get oodles of playoff bonus content!Art by Eli ElbogenMusic by Devin Drobka's Bell Dance Songs

A Daily Chronicle of AI Innovations on November 04th 2024

Plus Perplexity Launches AI Election Tracker Like this? Get AIDAILY, delivered to your inbox, every weekday. Subscribe to our newsletter at https://aidaily.us AI Set to Self-Improve: A New Era in Tech In a bold vision for AI, former OpenAI researcher Leopold Aschenbrenner suggests that AI, capable of enhancing itself, may be near. Sakana AI's prototype “AI Scientist” marks a significant step, autonomously conducting research, generating novel ideas, and publishing papers that meet early standards in machine learning. While current capabilities are basic, experts predict swift advancements, likening it to GPT-1's launch before rapid progression to GPT-3 and GPT-4. With leading firms investing heavily, the notion of self-improving AI may soon become a transformative reality, unlocking new opportunities and risks. Perplexity's AI-Powered Election Tracker Garners Expert Attention Perplexity launched an AI-based election tracker for the U.S. 2024 elections, providing real-time updates on races and ballot measures using data from AP and Democracy Works. AI experts view the hub as promising for election transparency but caution that hallucinations and bias remain risks in AI-generated information. AI-Powered Game Oasis Fails to Capture Minecraft's Appeal AI startup Etched unveils Oasis, an AI-generated Minecraft clone devoid of hardcoded mechanics and memory. The game's frames are created in real time, leading to unpredictable, chaotic gameplay. Etched anticipates AI will dominate future content, but critics argue Oasis exemplifies the pitfalls of generative AI's energy demands and uncanny outputs Diageo Integrates AI in New Whisky Tasting Kits Diageo's Single Malt Special Releases 2024 Tasting Experience introduces FlavorPrintConnect, an AI-driven digital platform that customizes whisky journeys. Users can compare tasting notes, access masterclass content, and receive personalized whisky recommendations. Launching in the UK, this immersive experience merges physical and digital whisky exploration.  Generative AI's E-Waste Crisis Looms Amid Rapid Expansion A new study estimates that large language models alone could generate 2.5 million tonnes of e-waste per year by 2030. The demand for upgraded GPUs and CPUs contributes significantly to electronic waste, containing toxic metals harmful to health and the environment. Researchers advocate for downcycling and regulatory incentives to mitigate AI's growing e-waste problem. Amazon and Walmart's AI Shopping Experiences Make Holiday Shopping Smoother Amazon and Walmart have introduced AI-powered shopping tools for the holiday season. Amazon's Virtual Holiday Shop offers a 3D shopping experience with curated gifts, while Walmart uses genAI for personalized recommendations, influencer content, and enhanced customer support in the U.S. and Mexico.

In this episode, the hosts discuss the top AI companies that have raised over $100 million, exploring their innovations, funding rounds, and the impact of AI on various industries such as healthcare, robotics, and legal tech. They highlight the importance of integrating AI into existing businesses and the potential for future growth in the AI sector. Our Skool Community: https://www.skool.com/aihustle/about Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Jamies's YouTube Channel: https://www.youtube.com/@JAMIEANDSARAH 00:00 Introduction to AI Companies Raising Funds 03:29 AlphaSense: A Market Intelligence Leader 05:53 Emerging Players: Evolutionary Scale and Etched.ai 07:42 Robotics Revolution: Bright Machines and Skilled AI 09:19 Innovations in Legal Tech: Harvey and Hebia 12:14 World Labs: Transforming 3D Object Estimation

NASA's Europa Clipper took off earlier this week, headed for Jupiter's fourth-largest moon. Etched on the outside of the spacecraft is a poem by U.S. Poet Laureate Ada Limón called "In Praise of Mystery." Now, that poem, which celebrates human curiosity, has been adapted into a picture book by the same name, illustrated by Peter Sís. In today's episode, Limón speaks with NPR's Mary Louise Kelley about her collaboration with Sís and how to write a poem with staying power across time and space. Finally, Limón reads her poem out loud.To listen to Book of the Day sponsor-free and support NPR's book coverage, sign up for Book of the Day+ at plus.npr.org/bookofthedayLearn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Welcome back to Shit That Goes On In Our Heads," the 2024 People's Choice Podcast Award Winner for Health! In this episode, G-Rex and Dirty Skittles sit with Australian romance author Liv Arnold to explore the intersections of mental health, self-discovery, and romance. Liv shares how her journey started in Melbourne, her shift from finance to fiction, and mental health's role in her novels. Meet Our Guest: Liv Arnold  Liv grew up in Melbourne, Australia, and after studying Arts/Commerce at Deakin University, she pursued her passion for writing at RMIT. Inspired by Enid Blyton's books, Liv now channels her creativity into romance novels published with The Wild Rose Press. With her loyal pup, Groot, by her side, she tackles themes like PTSD, anxiety, and societal stigmas around female sexuality in her novels *Etched in Stone*, *Stepping Stone*, and *Law & Disorder*. Liv's writing connects with readers by blending suspense, real-life challenges, and relatable character journeys. Connect with Liv Arnold  - Website: https://www.livarnold.com   - Facebook: https://www.facebook.com/livarnoldauthor - Instagram: https://www.instagram.com/liv_au   - Twitter: https://www.twitter.com/liv_au - BookBub: https://www.bookbub.com/profile/liv-arnold   Books by Liv Arnold   - Etched in Stone (Invested in You Book 1)   - Stepping Stone (Invested in You Book 2)   - Law & Disorder Key Takeaways from this Episode: 1. The Power of Representation in Romance: Liv emphasizes the importance of tackling real-life mental health issues like PTSD and anxiety in romance novels, creating characters that readers can identify with. 2. Breaking Taboos and Embracing Female Sexuality: Liv discusses societal stigmas around female sexuality, sharing how her books encourage readers to embrace their desires without shame. 3. Lessons in Self-Care and Boundaries: Liv reflects on the importance of setting healthy boundaries and shares how these lessons inspire both her life and her character's growth. Call to Action   If you or someone you know is struggling with mental health issues, please reach out to a local crisis hotline. It's OK not to be OK, and support is always available.   - United States: Call or Text -988 - https://988lifeline.org/talk-to-someone-now/  - Canada: 988 - Call or Text - https://988.ca/   - World Wide: https://findahelpline.com/ Connect with G-Rex and Dirty Skittles   - Official Website: https://goesoninourheads.net/  - Facebook: https://www.facebook.com/shltthatgoesoninourheads   - Instagram: https://www.instagram.com/grex_and_dirtyskittles/ Support Our Podcast - Newsletter:https://sh-t-that-goes-on-in-our-heads.ck.page/profile   - Merch:https://www.goesoninourheads.shop  - Donate: https://donate.stripe.com/8wM4hy4js24y9b26oo   Advertise with Us  Explore advertising and partnership opportunities! Visit - https://www.passionfroot.me/goesoninourheads Acknowledgments   Audio Editing by NJz Audio. Subscribe, Rate, and Review!  Stay tuned for more inspiring episodes. Visit -https://goesoninourheads.net/add-your-podcast-reviews for more ways to connect!   #MentalHealthPodcast #LivArnold #Grex #Stgoioh #Dirtyskittles #2024PeoplesChoicePodcastAwardWinner #MentalHealthMatters #BreakingStigmas #PTSD #Anxiety #RomanceNovels #SelfCare #Boundaries

Toni Harrison, Founder and CEO of Etched Communication, discusses the importance of having PR professionals involved in the business decision-making process. She shares how organizations can authentically engage with their original customers while reaching new audiences. Toni also explains how implementing measurement techniques throughout a campaign can optimize results.

In this episode of Found, Becca and Dom sit down with Gavin Uberti, co-founder and CEO of Etched, an AI chip startup focusing on developing specialized chips. Gavin shares the bold bet his startup is making on transformer models for AI chips, aiming to take on industry giant Nvidia. They discuss how Etched is developing specialized chips that they claim will be an order of magnitude faster than competitors, and Uberti shares his insights on the future of AI hardware as models continue to rapidly scale up in size and capability.[00:00] Introduction to Etched and AI chips [03:46] The bet on transformer models[05:08] Competition with Nvidia 07:45] Environmental impact of chip manufacturing[10:13] Etched's chip development progress[12:35] Customer demand and strategic investors[14:06] Fundraising journey[15:23] Dropping out of Harvard[21:25] Building the company and hiring[24:01] Leadership philosophy[31:05] Future outlook for Etched and AI [32:31] Wrap-up and reveal of the "two truths and a lie" Found posts every Tuesday. Subscribe on Apple, Spotify or wherever you listen to podcasts to be alerted when new episodes drop. Check out the other TechCrunch podcast: Equity . Subscribe to Found to hear more stories from founders each Connect with us:On TwitterOn InstagramVia email: found@techcrunch.com

Episode 153 was...interesting. The guys break down the AFC West. Spoiler - the Chiefs are good. They go around the NFL and hit the top stories of the preseason, give some award predictions, recap the Olympics, WWE, how to cover for a coworker on vacation, and more!   00:00 -  Intro/Coworker coverage/Fantasy 19:34 - College Football Preview  27:00 - Around the NFL 44:00 - AFC West Preview 56:07 - WWE Talk 1:05:06 - Olympic Recap 1:20:00 - Sign off   Don't forget to submit your questions to the guys at speakonitpod14@gmail.com so they can answer them during the next show!  Follow the squad!! @losdeemix @dannyocean41 @goingfor2live  @speakonit_pod (Twitter, Tik Tok, and Instagram)

Dr. Timothy Mahr is Professor Emeritus at St. Olaf College, and a prolific composer for wind band. Dr Mahr joins the podcast for a conversation that encompasses advice for young composers, discussion of ways we can improve our bands as a conductor, and a focus on some of his music! Highlighted is Etched in Stone, Commissioned by Kyle Smith and the Westbrook High School Wind Ensemble for the 50th Anniversary of the assassination of Martin Luther King, Jr. To gain access to all show notes and audio files please Subscribe to the podcast and consider supporting the show on Patreon - using the button at the top of thegrowingbanddirector.com Our mission is to share practical  advice and explore topics that will help every band director, no matter your experience level, as well as music education students who are working to join us in the coming years. Connect with us with comments or ideas Follow the show: Podcast website : Thegrowingbanddirector.com On Youtube The Growing Band Director  Facebook-The Growing Band Director Podcast Group Instagram @thegrowingbanddirector Tik Tok @thegrowingbanddirector If you like what you hear please: Leave a Five Star Review and  Share us with another band director! --- Support this podcast: https://podcasters.spotify.com/pod/show/kyle-smith95/support

Thank you for 1m downloads of the podcast and 2m readers of the Substack!

Send us a comment!Today's TreasureWe have this hope as an anchor for the soul, firm and secure. It enters the inner sanctuarybehind the curtain,where our forerunner, Jesus, has entered on our behalf. He has become ahigh priest forever, in the order of Melchizedek.Hebrews 6:19-20Support the Show.

This week the news was all about AI, music labels sue AI music generators Suno and Udio. Etched raises $120M to make AI Chips. Emergence AI scores $97.2M to make AI agents for white-collar work. We share our hot takes on Augmented World Expo, which wrapped last week. Tony, a true XR OG and an old friend, joined Rony in the AWE Hall of Fame last week. We're talking about art, music, copyrights, problems in Hollywood, and the responsibilities (or lack thereof) of American companies. Thank you to our sponsor, Zappar!Don't forget to like, share, and follow for more! Follow us on all socials @ThisWeekInXR!https://linktr.ee/thisweekinxr Hosted on Acast. See acast.com/privacy for more information.

Send us a comment!Today's TreasureBecause of the LORD's great love, we are not consumed, for his compassions never fail.They are new every morning; great is your faithfulness.Lamentations 3:22-23Support the Show.

Send us a comment!Today's TreasureI want to know Christ—yes, to know the power of his resurrection and participation in hissufferings, becoming like him in his death, and so, somehow, attaining to theresurrection from the dead. Not that I have already obtained all this, or have alreadyarrived at my goal, but I press on to take hold of that for which Christ Jesus took hold ofme.Brothers and sisters, I do not consider myself yet to have taken hold of it. But one thing Ido: Forgetting what is behind and straining toward what is ahead, I press on toward the goalto win the prize for which God has called me heavenward in Christ Jesus.Philippians 3:10-14Support the Show.

Send us a comment!Today's TreasureThe sacrifices of God are a broken spirit; a broken and a contrite heart, O God, you will not despise.Psalm 51:17 ESVSupport the Show.

Haven't done any solo episodes in a while but figured I could post this interview here anyway.Hope you enjoy the conversation, I had a great time chatting AI with them!

Send us a comment!Today's TreasureTake the staff, and you and your brother Aaron gather the assembly together. Speak to that rock before their eyes and it will pour out its water. You will bring water out of the rock for the community so they and their livestock can drink.”… Then Moses raised his arm and struck the rock twice with his staff. Water gushed out, and the community and their livestock drank.Numbers 20:8, 11Support the Show.

Send us a comment!Today's TreasureA father to the fatherless, a defender of widows,Psalm 68:5Support the Show.

It was an innovative idea in its day - a 200 store indoor shopping center 35 miles outside of Chicago with a 31-ride amusement park in the middle. Unfortunately, once you throw in costly delays, waning attendance, lackluster store selection, competition, and a trapeze death, that's when trouble starts.This is the story of Old Chicago, billed at the time as the "world's first enclosed combination theme park and shopping center," which in five years went from the next big thing to bust.ORIGINALLY PUBLISHED IN MAY, 2020. This version contains some changes.Show some love for the podcast for the cost of a cup of coffee and help offset production costs:https://www.buymeacoffee.com/chicagohistoryAmazon Affiliate Links (anything you buy - not just this stuff - through these links helps benefit the show):BOOKS:History Lover's Guide to Chicago, A by Greg Borzohttps://amzn.to/3w8fcQFFodor's Chicago (Full Color Travel Guide)https://amzn.to/3P6Mmc0CHICAGO ITEMS (PERFECT FOR GIFT GIVING):Greenline Goods Whiskey Glasses - 10 Oz Tumbler Gift Set for Chicago lovers, Etched with Chicago Map | Old Fashioned Rocks Glass - Set of 2https://amzn.to/3FrjSFrChicago Map Coasters by O3 Design Studio, Set Of 4, Sapele Wooden Coaster With City Map, Handmadehttps://amzn.to/3vNyDiNChicago History Podcast (chicagohistorypod AT gmail.com):https://www.facebook.com/Chicago-History-Podcast-107482214277883https://twitter.com/chicago_podhttps://www.instagram.com/chicagohistorypod/Chicago History Podcast Art by John K. Schneider (angeleyesartjks  AT gmail.com) and on https://www.instagram.com/angeleyesartjks/ Like, subscribe, and kindly review. Much appreciated!Support the Show.

Grab your passport and crank up the wanderlust meter! This episode of Self Care Disciples takes you on a whirlwind exploration of travel and its transformative power. Join Sutton and Jon as they delve into: Memorable Metamorphosis: We all have those destinations that leave an indelible mark. Where did you visit that truly rewired your brain and changed your perspective on life? Dream Destinations Unveiled: Unpack your bucket list! Where's at the top of your travel wish list, and why? Is it the breathtaking landscapes, the vibrant culture, or something else entirely? Ink Across the Globe: How far would you go for the perfect tattoo? Would you hop continents to get tattooed by a legendary artist or experience a unique tattoo style specific to a region?

Send us a Text Message.Etched into the heart of darkness is the chilling saga of Nannie Doss, renowned as “The Giggling Granny.” In her shadowy world, charm masks a sinister truth and every smile conceals a deadly secret. Nannie's twisted path includes multiple marriages, each veiled in suspicion and tragedy, all ending in a calculated reign of terror. As investigators unearthed the harrowing reality of her crimes, the bone-chilling stories resonated with unsettling laughter as she retold her murderous tale. Was it in pursuit of true love or for other ulterior motives that caused Nannie Doss to become, “The Giggling Granny?”Watch the video version here: https://youtube.com/live/sL1qHfTiCZwDon't forget, you can watch us live on Tuesday nights at 8PM CST - U.S. on YouTube and Facebook! Support the Show: Patreon (Bonus Content)Follow us on Social Media: YouTube ChannelFacebook Fan PageInstagram Fan Page X (formerly Twitter)TikTok Fan Page"After Dark with EVP" (Use code "AFTERDARK25" for 25% off an annual subscription)https://bit.ly/46GOmAzSubmit Your Story, Comments, or Questions: theevppod@gmail.com

Train Wreck of the Day Wednesday 5/8/24

Alicia Goodwin joins co-hosts Paulene Everett and Scott Bradford on this For the Love of Jewelers episode. She is the owner and creative force behind her business—Lingua Nigra. Alicia's vibrant energy is contagious as they discuss her intense passion for raw, sculptural design and the influence of Mesoamerica and other historical jewelry on her work. Learn how Alicia celebrates ancient jewelry-making techniques like acid etching and metal reticulation and uplifts the beauty of handmade imperfection.

Our next 2 big events are AI UX and the World's Fair. Join and apply to speak/sponsor!Due to timing issues we didn't have an interview episode to share with you this week, but not to worry, we have more than enough “weekend special” content in the backlog for you to get your Latent Space fix, whether you like thinking about the big picture, or learning more about the pod behind the scenes, or talking Groq and GPUs, or AI Leadership, or Personal AI. Enjoy!AI BreakdownThe indefatigable NLW had us back on his show for an update on the Four Wars, covering Sora, Suno, and the reshaped GPT-4 Class Landscape:and a longer segment on AI Engineering trends covering the future LLM landscape (Llama 3, GPT-5, Gemini 2, Claude 4), Open Source Models (Mistral, Grok), Apple and Meta's AI strategy, new chips (Groq, MatX) and the general movement from baby AGIs to vertical Agents:Thursday Nights in AIWe're also including swyx's interview with Josh Albrecht and Ali Rohde to reintroduce swyx and Latent Space to a general audience, and engage in some spicy Q&A:Dylan Patel on GroqWe hosted a private event with Dylan Patel of SemiAnalysis (our last pod here):Not all of it could be released so we just talked about our Groq estimates:Milind Naphade - Capital OneIn relation to conversations at NeurIPS and Nvidia GTC and upcoming at World's Fair, we also enjoyed chatting with Milind Naphade about his AI Leadership work at IBM, Cisco, Nvidia, and now leading the AI Foundations org at Capital One. We covered:* Milind's learnings from ~25 years in machine learning * His first paper citation was 24 years ago* Lessons from working with Jensen Huang for 6 years and being CTO of Metropolis * Thoughts on relevant AI research* GTC takeaways and what makes NVIDIA specialIf you'd like to work on building solutions rather than platform (as Milind put it), his Applied AI Research team at Capital One is hiring, which falls under the Capital One Tech team.Personal AI MeetupIt all started with a meme:Within days of each other, BEE, FRIEND, EmilyAI, Compass, Nox and LangFriend were all launching personal AI wearables and assistants. So we decided to put together a the world's first Personal AI meetup featuring creators and enthusiasts of wearables. The full video is live now, with full show notes within.Timestamps* [00:01:13] AI Breakdown Part 1* [00:02:20] Four Wars* [00:13:45] Sora* [00:15:12] Suno* [00:16:34] The GPT-4 Class Landscape* [00:17:03] Data War: Reddit x Google* [00:21:53] Gemini 1.5 vs Claude 3* [00:26:58] AI Breakdown Part 2* [00:27:33] Next Frontiers: Llama 3, GPT-5, Gemini 2, Claude 4* [00:31:11] Open Source Models - Mistral, Grok* [00:34:13] Apple MM1* [00:37:33] Meta's $800b AI rebrand* [00:39:20] AI Engineer landscape - from baby AGIs to vertical Agents* [00:47:28] Adept episode - Screen Multimodality* [00:48:54] Top Model Research from January Recap* [00:53:08] AI Wearables* [00:57:26] Groq vs Nvidia month - GPU Chip War* [01:00:31] Disagreements* [01:02:08] Summer 2024 Predictions* [01:04:18] Thursday Nights in AI - swyx* [01:33:34] Dylan Patel - Semianalysis + Latent Space Live Show* [01:34:58] GroqTranscript[00:00:00] swyx: Welcome to the Latent Space Podcast Weekend Edition. This is Charlie, your AI co host. Swyx and Alessio are off for the week, making more great content. We have exciting interviews coming up with Elicit, Chroma, Instructor, and our upcoming series on NSFW, Not Safe for Work AI. In today's episode, we're collating some of Swyx and Alessio's recent appearances, all in one place for you to find.[00:00:32] swyx: In part one, we have our first crossover pod of the year. In our listener survey, several folks asked for more thoughts from our two hosts. In 2023, Swyx and Alessio did crossover interviews with other great podcasts like the AI Breakdown, Practical AI, Cognitive Revolution, Thursday Eye, and Chinatalk, all of which you can find in the Latentspace About page.[00:00:56] swyx: NLW of the AI Breakdown asked us back to do a special on the 4Wars framework and the AI engineer scene. We love AI Breakdown as one of the best examples Daily podcasts to keep up on AI news, so we were especially excited to be back on Watch out and take[00:01:12] NLW: care[00:01:13] AI Breakdown Part 1[00:01:13] NLW: today on the AI breakdown. Part one of my conversation with Alessio and Swix from Latent Space.[00:01:19] NLW: All right, fellas, welcome back to the AI Breakdown. How are you doing? I'm good. Very good. With the last, the last time we did this show, we were like, oh yeah, let's do check ins like monthly about all the things that are going on and then. Of course, six months later, and, you know, the, the, the world has changed in a thousand ways.[00:01:36] NLW: It's just, it's too busy to even, to even think about podcasting sometimes. But I, I'm super excited to, to be chatting with you again. I think there's, there's a lot to, to catch up on, just to tap in, I think in the, you know, in the beginning of 2024. And, and so, you know, we're gonna talk today about just kind of a, a, a broad sense of where things are in some of the key battles in the AI space.[00:01:55] NLW: And then the, you know, one of the big things that I, that I'm really excited to have you guys on here for us to talk about where, sort of what patterns you're seeing and what people are actually trying to build, you know, where, where developers are spending their, their time and energy and, and, and any sort of, you know, trend trends there, but maybe let's start I guess by checking in on a framework that you guys actually introduced, which I've loved and I've cribbed a couple of times now, which is this sort of four wars of the, of the AI stack.[00:02:20] Four Wars[00:02:20] NLW: Because first, since I have you here, I'd love, I'd love to hear sort of like where that started gelling. And then and then maybe we can get into, I think a couple of them that are you know, particularly interesting, you know, in the, in light of[00:02:30] swyx: some recent news. Yeah, so maybe I'll take this one. So the four wars is a framework that I came up around trying to recap all of 2023.[00:02:38] swyx: I tried to write sort of monthly recap pieces. And I was trying to figure out like what makes one piece of news last longer than another or more significant than another. And I think it's basically always around battlegrounds. Wars are fought around limited resources. And I think probably the, you know, the most limited resource is talent, but the talent expresses itself in a number of areas.[00:03:01] swyx: And so I kind of focus on those, those areas at first. So the four wars that we cover are the data wars, the GPU rich, poor war, the multi modal war, And the RAG and Ops War. And I think you actually did a dedicated episode to that, so thanks for covering that. Yeah, yeah.[00:03:18] NLW: Not only did I do a dedicated episode, I actually used that.[00:03:22] NLW: I can't remember if I told you guys. I did give you big shoutouts. But I used it as a framework for a presentation at Intel's big AI event that they hold each year, where they have all their folks who are working on AI internally. And it totally resonated. That's amazing. Yeah, so, so, what got me thinking about it again is specifically this inflection news that we recently had, this sort of, you know, basically, I can't imagine that anyone who's listening wouldn't have thought about it, but, you know, inflection is a one of the big contenders, right?[00:03:53] NLW: I think probably most folks would have put them, you know, just a half step behind the anthropics and open AIs of the world in terms of labs, but it's a company that raised 1. 3 billion last year, less than a year ago. Reed Hoffman's a co founder Mustafa Suleyman, who's a co founder of DeepMind, you know, so it's like, this is not a a small startup, let's say, at least in terms of perception.[00:04:13] NLW: And then we get the news that basically most of the team, it appears, is heading over to Microsoft and they're bringing in a new CEO. And you know, I'm interested in, in, in kind of your take on how much that reflects, like hold aside, I guess, you know, all the other things that it might be about, how much it reflects this sort of the, the stark.[00:04:32] NLW: Brutal reality of competing in the frontier model space right now. And, you know, just the access to compute.[00:04:38] Alessio: There are a lot of things to say. So first of all, there's always somebody who's more GPU rich than you. So inflection is GPU rich by startup standard. I think about 22, 000 H100s, but obviously that pales compared to the, to Microsoft.[00:04:55] Alessio: The other thing is that this is probably good news, maybe for the startups. It's like being GPU rich, it's not enough. You know, like I think they were building something pretty interesting in, in pi of their own model of their own kind of experience. But at the end of the day, you're the interface that people consume as end users.[00:05:13] Alessio: It's really similar to a lot of the others. So and we'll tell, talk about GPT four and cloud tree and all this stuff. GPU poor, doing something. That the GPU rich are not interested in, you know we just had our AI center of excellence at Decibel and one of the AI leads at one of the big companies was like, Oh, we just saved 10 million and we use these models to do a translation, you know, and that's it.[00:05:39] Alessio: It's not, it's not a GI, it's just translation. So I think like the inflection part is maybe. A calling and a waking to a lot of startups then say, Hey, you know, trying to get as much capital as possible, try and get as many GPUs as possible. Good. But at the end of the day, it doesn't build a business, you know, and maybe what inflection I don't, I don't, again, I don't know the reasons behind the inflection choice, but if you say, I don't want to build my own company that has 1.[00:06:05] Alessio: 3 billion and I want to go do it at Microsoft, it's probably not a resources problem. It's more of strategic decisions that you're making as a company. So yeah, that was kind of my. I take on it.[00:06:15] swyx: Yeah, and I guess on my end, two things actually happened yesterday. It was a little bit quieter news, but Stability AI had some pretty major departures as well.[00:06:25] swyx: And you may not be considering it, but Stability is actually also a GPU rich company in the sense that they were the first new startup in this AI wave to brag about how many GPUs that they have. And you should join them. And you know, Imadis is definitely a GPU trader in some sense from his hedge fund days.[00:06:43] swyx: So Robin Rhombach and like the most of the Stable Diffusion 3 people left Stability yesterday as well. So yesterday was kind of like a big news day for the GPU rich companies, both Inflection and Stability having sort of wind taken out of their sails. I think, yes, it's a data point in the favor of Like, just because you have the GPUs doesn't mean you can, you automatically win.[00:07:03] swyx: And I think, you know, kind of I'll echo what Alessio says there. But in general also, like, I wonder if this is like the start of a major consolidation wave, just in terms of, you know, I think that there was a lot of funding last year and, you know, the business models have not been, you know, All of these things worked out very well.[00:07:19] swyx: Even inflection couldn't do it. And so I think maybe that's the start of a small consolidation wave. I don't think that's like a sign of AI winter. I keep looking for AI winter coming. I think this is kind of like a brief cold front. Yeah,[00:07:34] NLW: it's super interesting. So I think a bunch of A bunch of stuff here.[00:07:38] NLW: One is, I think, to both of your points, there, in some ways, there, there had already been this very clear demarcation between these two sides where, like, the GPU pores, to use the terminology, like, just weren't trying to compete on the same level, right? You know, the vast majority of people who have started something over the last year, year and a half, call it, were racing in a different direction.[00:07:59] NLW: They're trying to find some edge somewhere else. They're trying to build something different. If they're, if they're really trying to innovate, it's in different areas. And so it's really just this very small handful of companies that are in this like very, you know, it's like the coheres and jaspers of the world that like this sort of, you know, that are that are just sort of a little bit less resourced than, you know, than the other set that I think that this potentially even applies to, you know, everyone else that could clearly demarcate it into these two, two sides.[00:08:26] NLW: And there's only a small handful kind of sitting uncomfortably in the middle, perhaps. Let's, let's come back to the idea of, of the sort of AI winter or, you know, a cold front or anything like that. So this is something that I, I spent a lot of time kind of thinking about and noticing. And my perception is that The vast majority of the folks who are trying to call for sort of, you know, a trough of disillusionment or, you know, a shifting of the phase to that are people who either, A, just don't like AI for some other reason there's plenty of that, you know, people who are saying, You Look, they're doing way worse than they ever thought.[00:09:03] NLW: You know, there's a lot of sort of confirmation bias kind of thing going on. Or two, media that just needs a different narrative, right? Because they're sort of sick of, you know, telling the same story. Same thing happened last summer, when every every outlet jumped on the chat GPT at its first down month story to try to really like kind of hammer this idea that that the hype was too much.[00:09:24] NLW: Meanwhile, you have, you know, just ridiculous levels of investment from enterprises, you know, coming in. You have, you know, huge, huge volumes of, you know, individual behavior change happening. But I do think that there's nothing incoherent sort of to your point, Swyx, about that and the consolidation period.[00:09:42] NLW: Like, you know, if you look right now, for example, there are, I don't know, probably 25 or 30 credible, like, build your own chatbot. platforms that, you know, a lot of which have, you know, raised funding. There's no universe in which all of those are successful across, you know, even with a, even, even with a total addressable market of every enterprise in the world, you know, you're just inevitably going to see some amount of consolidation.[00:10:08] NLW: Same with, you know, image generators. There are, if you look at A16Z's top 50 consumer AI apps, just based on, you know, web traffic or whatever, they're still like I don't know, a half. Dozen or 10 or something, like, some ridiculous number of like, basically things like Midjourney or Dolly three. And it just seems impossible that we're gonna have that many, you know, ultimately as, as, as sort of, you know, going, going concerned.[00:10:33] NLW: So, I don't know. I, I, I think that the, there will be inevitable consolidation 'cause you know. It's, it's also what kind of like venture rounds are supposed to do. You're not, not everyone who gets a seed round is supposed to get to series A and not everyone who gets a series A is supposed to get to series B.[00:10:46] NLW: That's sort of the natural process. I think it will be tempting for a lot of people to try to infer from that something about AI not being as sort of big or as as sort of relevant as, as it was hyped up to be. But I, I kind of think that's the wrong conclusion to come to.[00:11:02] Alessio: I I would say the experimentation.[00:11:04] Alessio: Surface is a little smaller for image generation. So if you go back maybe six, nine months, most people will tell you, why would you build a coding assistant when like Copilot and GitHub are just going to win everything because they have the data and they have all the stuff. If you fast forward today, A lot of people use Cursor everybody was excited about the Devin release on Twitter.[00:11:26] Alessio: There are a lot of different ways of attacking the market that are not completion of code in the IDE. And even Cursors, like they evolved beyond single line to like chat, to do multi line edits and, and all that stuff. Image generation, I would say, yeah, as a, just as from what I've seen, like maybe the product innovation has slowed down at the UX level and people are improving the models.[00:11:50] Alessio: So the race is like, how do I make better images? It's not like, how do I make the user interact with the generation process better? And that gets tough, you know? It's hard to like really differentiate yourselves. So yeah, that's kind of how I look at it. And when we think about multimodality, maybe the reason why people got so excited about Sora is like, oh, this is like a completely It's not a better image model.[00:12:13] Alessio: This is like a completely different thing, you know? And I think the creative mind It's always looking for something that impacts the viewer in a different way, you know, like they really want something different versus the developer mind. It's like, Oh, I, I just, I have this like very annoying thing I want better.[00:12:32] Alessio: I have this like very specific use cases that I want to go after. So it's just different. And that's why you see a lot more companies in image generation. But I agree with you that. If you fast forward there, there's not going to be 10 of them, you know, it's probably going to be one or[00:12:46] swyx: two. Yeah, I mean, to me, that's why I call it a war.[00:12:49] swyx: Like, individually, all these companies can make a story that kind of makes sense, but collectively, they cannot all be true. Therefore, they all, there is some kind of fight over limited resources here. Yeah, so[00:12:59] NLW: it's interesting. We wandered very naturally into sort of another one of these wars, which is the multimodality kind of idea, which is, you know, basically a question of whether it's going to be these sort of big everything models that end up winning or whether, you know, you're going to have really specific things, you know, like something, you know, Dolly 3 inside of sort of OpenAI's larger models versus, you know, a mid journey or something like that.[00:13:24] NLW: And at first, you know, I was kind of thinking like, For most of the last, call it six months or whatever, it feels pretty definitively both and in some ways, you know, and that you're, you're seeing just like great innovation on sort of the everything models, but you're also seeing lots and lots happen at sort of the level of kind of individual use cases.[00:13:45] Sora[00:13:45] NLW: But then Sora comes along and just like obliterates what I think anyone thought you know, where we were when it comes to video generation. So how are you guys thinking about this particular battle or war at the moment?[00:13:59] swyx: Yeah, this was definitely a both and story, and Sora tipped things one way for me, in terms of scale being all you need.[00:14:08] swyx: And the benefit, I think, of having multiple models being developed under one roof. I think a lot of people aren't aware that Sora was developed in a similar fashion to Dolly 3. And Dolly3 had a very interesting paper out where they talked about how they sort of bootstrapped their synthetic data based on GPT 4 vision and GPT 4.[00:14:31] swyx: And, and it was just all, like, really interesting, like, if you work on one modality, it enables you to work on other modalities, and all that is more, is, is more interesting. I think it's beneficial if it's all in the same house, whereas the individual startups who don't, who sort of carve out a single modality and work on that, definitely won't have the state of the art stuff on helping them out on synthetic data.[00:14:52] swyx: So I do think like, The balance is tilted a little bit towards the God model companies, which is challenging for the, for the, for the the sort of dedicated modality companies. But everyone's carving out different niches. You know, like we just interviewed Suno ai, the sort of music model company, and, you know, I don't see opening AI pursuing music anytime soon.[00:15:12] Suno[00:15:12] swyx: Yeah,[00:15:13] NLW: Suno's been phenomenal to play with. Suno has done that rare thing where, which I think a number of different AI product categories have done, where people who don't consider themselves particularly interested in doing the thing that the AI enables find themselves doing a lot more of that thing, right?[00:15:29] NLW: Like, it'd be one thing if Just musicians were excited about Suno and using it but what you're seeing is tons of people who just like music all of a sudden like playing around with it and finding themselves kind of down that rabbit hole, which I think is kind of like the highest compliment that you can give one of these startups at the[00:15:45] swyx: early days of it.[00:15:46] swyx: Yeah, I, you know, I, I asked them directly, you know, in the interview about whether they consider themselves mid journey for music. And he had a more sort of nuanced response there, but I think that probably the business model is going to be very similar because he's focused on the B2C element of that. So yeah, I mean, you know, just to, just to tie back to the question about, you know, You know, large multi modality companies versus small dedicated modality companies.[00:16:10] swyx: Yeah, highly recommend people to read the Sora blog posts and then read through to the Dali blog posts because they, they strongly correlated themselves with the same synthetic data bootstrapping methods as Dali. And I think once you make those connections, you're like, oh, like it, it, it is beneficial to have multiple state of the art models in house that all help each other.[00:16:28] swyx: And these, this, that's the one thing that a dedicated modality company cannot do.[00:16:34] The GPT-4 Class Landscape[00:16:34] NLW: So I, I wanna jump, I wanna kind of build off that and, and move into the sort of like updated GPT-4 class landscape. 'cause that's obviously been another big change over the last couple months. But for the sake of completeness, is there anything that's worth touching on with with sort of the quality?[00:16:46] NLW: Quality data or sort of a rag ops wars just in terms of, you know, anything that's changed, I guess, for you fundamentally in the last couple of months about where those things stand.[00:16:55] swyx: So I think we're going to talk about rag for the Gemini and Clouds discussion later. And so maybe briefly discuss the data piece.[00:17:03] Data War: Reddit x Google[00:17:03] swyx: I think maybe the only new thing was this Reddit deal with Google for like a 60 million dollar deal just ahead of their IPO, very conveniently turning Reddit into a AI data company. Also, very, very interestingly, a non exclusive deal, meaning that Reddit can resell that data to someone else. And it probably does become table stakes.[00:17:23] swyx: A lot of people don't know, but a lot of the web text dataset that originally started for GPT 1, 2, and 3 was actually scraped from GitHub. from Reddit at least the sort of vote scores. And I think, I think that's a, that's a very valuable piece of information. So like, yeah, I think people are figuring out how to pay for data.[00:17:40] swyx: People are suing each other over data. This, this, this war is, you know, definitely very, very much heating up. And I don't think, I don't see it getting any less intense. I, you know, next to GPUs, data is going to be the most expensive thing in, in a model stack company. And. You know, a lot of people are resorting to synthetic versions of it, which may or may not be kosher based on how far along or how commercially blessed the, the forms of creating that synthetic data are.[00:18:11] swyx: I don't know if Alessio, you have any other interactions with like Data source companies, but that's my two cents.[00:18:17] Alessio: Yeah yeah, I actually saw Quentin Anthony from Luther. ai at GTC this week. He's also been working on this. I saw Technium. He's also been working on the data side. I think especially in open source, people are like, okay, if everybody is putting the gates up, so to speak, to the data we need to make it easier for people that don't have 50 million a year to get access to good data sets.[00:18:38] Alessio: And Jensen, at his keynote, he did talk about synthetic data a little bit. So I think that's something that we'll definitely hear more and more of in the enterprise, which never bodes well, because then all the, all the people with the data are like, Oh, the enterprises want to pay now? Let me, let me put a pay here stripe link so that they can give me 50 million.[00:18:57] Alessio: But it worked for Reddit. I think the stock is up. 40 percent today after opening. So yeah, I don't know if it's all about the Google deal, but it's obviously Reddit has been one of those companies where, hey, you got all this like great community, but like, how are you going to make money? And like, they try to sell the avatars.[00:19:15] Alessio: I don't know if that it's a great business for them. The, the data part sounds as an investor, you know, the data part sounds a lot more interesting than, than consumer[00:19:25] swyx: cosmetics. Yeah, so I think, you know there's more questions around data you know, I think a lot of people are talking about the interview that Mira Murady did with the Wall Street Journal, where she, like, just basically had no, had no good answer for where they got the data for Sora.[00:19:39] swyx: I, I think this is where, you know, there's, it's in nobody's interest to be transparent about data, and it's, it's kind of sad for the state of ML and the state of AI research but it is what it is. We, we have to figure this out as a society, just like we did for music and music sharing. You know, in, in sort of the Napster to Spotify transition, and that might take us a decade.[00:19:59] swyx: Yeah, I[00:20:00] NLW: do. I, I agree. I think, I think that you're right to identify it, not just as that sort of technical problem, but as one where society has to have a debate with itself. Because I think that there's, if you rationally within it, there's Great kind of points on all side, not to be the sort of, you know, person who sits in the middle constantly, but it's why I think a lot of these legal decisions are going to be really important because, you know, the job of judges is to listen to all this stuff and try to come to things and then have other judges disagree.[00:20:24] NLW: And, you know, and have the rest of us all debate at the same time. By the way, as a total aside, I feel like the synthetic data right now is like eggs in the 80s and 90s. Like, whether they're good for you or bad for you, like, you know, we, we get one study that's like synthetic data, you know, there's model collapse.[00:20:42] NLW: And then we have like a hint that llama, you know, to the most high performance version of it, which was one they didn't release was trained on synthetic data. So maybe it's good. It's like, I just feel like every, every other week I'm seeing something sort of different about whether it's a good or bad for, for these models.[00:20:56] swyx: Yeah. The branding of this is pretty poor. I would kind of tell people to think about it like cholesterol. There's good cholesterol, bad cholesterol. And you can have, you know, good amounts of both. But at this point, it is absolutely without a doubt that most large models from here on out will all be trained as some kind of synthetic data and that is not a bad thing.[00:21:16] swyx: There are ways in which you can do it poorly. Whether it's commercial, you know, in terms of commercial sourcing or in terms of the model performance. But it's without a doubt that good synthetic data is going to help your model. And this is just a question of like where to obtain it and what kinds of synthetic data are valuable.[00:21:36] swyx: You know, if even like alpha geometry, you know, was, was a really good example from like earlier this year.[00:21:42] NLW: If you're using the cholesterol analogy, then my, then my egg thing can't be that far off. Let's talk about the sort of the state of the art and the, and the GPT 4 class landscape and how that's changed.[00:21:53] Gemini 1.5 vs Claude 3[00:21:53] NLW: Cause obviously, you know, sort of the, the two big things or a couple of the big things that have happened. Since we last talked, we're one, you know, Gemini first announcing that a model was coming and then finally it arriving, and then very soon after a sort of a different model arriving from Gemini and and Cloud three.[00:22:11] NLW: So I guess, you know, I'm not sure exactly where the right place to start with this conversation is, but, you know, maybe very broadly speaking which of these do you think have made a bigger impact? Thank you.[00:22:20] Alessio: Probably the one you can use, right? So, Cloud. Well, I'm sure Gemini is going to be great once they let me in, but so far I haven't been able to.[00:22:29] Alessio: I use, so I have this small podcaster thing that I built for our podcast, which does chapters creation, like named entity recognition, summarization, and all of that. Cloud Tree is, Better than GPT 4. Cloud2 was unusable. So I use GPT 4 for everything. And then when Opus came out, I tried them again side by side and I posted it on, on Twitter as well.[00:22:53] Alessio: Cloud is better. It's very good, you know, it's much better, it seems to me, it's much better than GPT 4 at doing writing that is more, you know, I don't know, it just got good vibes, you know, like the GPT 4 text, you can tell it's like GPT 4, you know, it's like, it always uses certain types of words and phrases and, you know, maybe it's just me because I've now done it for, you know, So, I've read like 75, 80 generations of these things next to each other.[00:23:21] Alessio: Clutter is really good. I know everybody is freaking out on twitter about it, my only experience of this is much better has been on the podcast use case. But I know that, you know, Quran from from News Research is a very big opus pro, pro opus person. So, I think that's also It's great to have people that actually care about other models.[00:23:40] Alessio: You know, I think so far to a lot of people, maybe Entropic has been the sibling in the corner, you know, it's like Cloud releases a new model and then OpenAI releases Sora and like, you know, there are like all these different things, but yeah, the new models are good. It's interesting.[00:23:55] NLW: My my perception is definitely that just, just observationally, Cloud 3 is certainly the first thing that I've seen where lots of people.[00:24:06] NLW: They're, no one's debating evals or anything like that. They're talking about the specific use cases that they have, that they used to use chat GPT for every day, you know, day in, day out, that they've now just switched over. And that has, I think, shifted a lot of the sort of like vibe and sentiment in the space too.[00:24:26] NLW: And I don't necessarily think that it's sort of a A like full you know, sort of full knock. Let's put it this way. I think it's less bad for open AI than it is good for anthropic. I think that because GPT 5 isn't there, people are not quite willing to sort of like, you know get overly critical of, of open AI, except in so far as they're wondering where GPT 5 is.[00:24:46] NLW: But I do think that it makes, Anthropic look way more credible as a, as a, as a player, as a, you know, as a credible sort of player, you know, as opposed to to, to where they were.[00:24:57] Alessio: Yeah. And I would say the benchmarks veil is probably getting lifted this year. I think last year. People were like, okay, this is better than this on this benchmark, blah, blah, blah, because maybe they did not have a lot of use cases that they did frequently.[00:25:11] Alessio: So it's hard to like compare yourself. So you, you defer to the benchmarks. I think now as we go into 2024, a lot of people have started to use these models from, you know, from very sophisticated things that they run in production to some utility that they have on their own. Now they can just run them side by side.[00:25:29] Alessio: And it's like, Hey, I don't care that like. The MMLU score of Opus is like slightly lower than GPT 4. It just works for me, you know, and I think that's the same way that traditional software has been used by people, right? Like you just strive for yourself and like, which one does it work, works best for you?[00:25:48] Alessio: Like nobody looks at benchmarks outside of like sales white papers, you know? And I think it's great that we're going more in that direction. We have a episode with Adapt coming out this weekend. I'll and some of their model releases, they specifically say, We do not care about benchmarks, so we didn't put them in, you know, because we, we don't want to look good on them.[00:26:06] Alessio: We just want the product to work. And I think more and more people will, will[00:26:09] swyx: go that way. Yeah. I I would say like, it does take the wind out of the sails for GPT 5, which I know where, you know, Curious about later on. I think anytime you put out a new state of the art model, you have to break through in some way.[00:26:21] swyx: And what Claude and Gemini have done is effectively take away any advantage to saying that you have a million token context window. Now everyone's just going to be like, Oh, okay. Now you just match the other two guys. And so that puts An insane amount of pressure on what gpt5 is going to be because it's just going to have like the only option it has now because all the other models are multimodal all the other models are long context all the other models have perfect recall gpt5 has to match everything and do more to to not be a flop[00:26:58] AI Breakdown Part 2[00:26:58] NLW: hello friends back again with part two if you haven't heard part one of this conversation i suggest you go check it out but to be honest they are kind of actually separable In this conversation, we get into a topic that I think Alessio and Swyx are very well positioned to discuss, which is what developers care about right now, what people are trying to build around.[00:27:16] NLW: I honestly think that one of the best ways to see the future in an industry like AI is to try to dig deep on what developers and entrepreneurs are attracted to build, even if it hasn't made it to the news pages yet. So consider this your preview of six months from now, and let's dive in. Let's bring it to the GPT 5 conversation.[00:27:33] Next Frontiers: Llama 3, GPT-5, Gemini 2, Claude 4[00:27:33] NLW: I mean, so, so I think that that's a great sort of assessment of just how the stakes have been raised, you know is your, I mean, so I guess maybe, maybe I'll, I'll frame this less as a question, just sort of something that, that I, that I've been watching right now, the only thing that makes sense to me with how.[00:27:50] NLW: Fundamentally unbothered and unstressed OpenAI seems about everything is that they're sitting on something that does meet all that criteria, right? Because, I mean, even in the Lex Friedman interview that, that Altman recently did, you know, he's talking about other things coming out first. He's talking about, he's just like, he, listen, he, he's good and he could play nonchalant, you know, if he wanted to.[00:28:13] NLW: So I don't want to read too much into it, but. You know, they've had so long to work on this, like unless that we are like really meaningfully running up against some constraint, it just feels like, you know, there's going to be some massive increase, but I don't know. What do you guys think?[00:28:28] swyx: Hard to speculate.[00:28:29] swyx: You know, at this point, they're, they're pretty good at PR and they're not going to tell you anything that they don't want to. And he can tell you one thing and change their minds the next day. So it's, it's, it's really, you know, I've always said that model version numbers are just marketing exercises, like they have something and it's always improving and at some point you just cut it and decide to call it GPT 5.[00:28:50] swyx: And it's more just about defining an arbitrary level at which they're ready and it's up to them on what ready means. We definitely did see some leaks on GPT 4. 5, as I think a lot of people reported and I'm not sure if you covered it. So it seems like there might be an intermediate release. But I did feel, coming out of the Lex Friedman interview, that GPT 5 was nowhere near.[00:29:11] swyx: And you know, it was kind of a sharp contrast to Sam talking at Davos in February, saying that, you know, it was his top priority. So I find it hard to square. And honestly, like, there's also no point Reading too much tea leaves into what any one person says about something that hasn't happened yet or has a decision that hasn't been taken yet.[00:29:31] swyx: Yeah, that's, that's my 2 cents about it. Like, calm down, let's just build .[00:29:35] Alessio: Yeah. The, the February rumor was that they were gonna work on AI agents, so I don't know, maybe they're like, yeah,[00:29:41] swyx: they had two agent two, I think two agent projects, right? One desktop agent and one sort of more general yeah, sort of GPTs like agent and then Andre left, so he was supposed to be the guy on that.[00:29:52] swyx: What did Andre see? What did he see? I don't know. What did he see?[00:29:56] Alessio: I don't know. But again, it's just like the rumors are always floating around, you know but I think like, this is, you know, we're not going to get to the end of the year without Jupyter you know, that's definitely happening. I think the biggest question is like, are Anthropic and Google.[00:30:13] Alessio: Increasing the pace, you know, like it's the, it's the cloud four coming out like in 12 months, like nine months. What's the, what's the deal? Same with Gemini. They went from like one to 1. 5 in like five days or something. So when's Gemini 2 coming out, you know, is that going to be soon? I don't know.[00:30:31] Alessio: There, there are a lot of, speculations, but the good thing is that now you can see a world in which OpenAI doesn't rule everything. You know, so that, that's the best, that's the best news that everybody got, I would say.[00:30:43] swyx: Yeah, and Mistral Large also dropped in the last month. And, you know, not as, not quite GPT 4 class, but very good from a new startup.[00:30:52] swyx: So yeah, we, we have now slowly changed in landscape, you know. In my January recap, I was complaining that nothing's changed in the landscape for a long time. But now we do exist in a world, sort of a multipolar world where Cloud and Gemini are legitimate challengers to GPT 4 and hopefully more will emerge as well hopefully from meta.[00:31:11] Open Source Models - Mistral, Grok[00:31:11] NLW: So speak, let's actually talk about sort of the open source side of this for a minute. So Mistral Large, notable because it's, it's not available open source in the same way that other things are, although I think my perception is that the community has largely given them Like the community largely recognizes that they want them to keep building open source stuff and they have to find some way to fund themselves that they're going to do that.[00:31:27] NLW: And so they kind of understand that there's like, they got to figure out how to eat, but we've got, so, you know, there there's Mistral, there's, I guess, Grok now, which is, you know, Grok one is from, from October is, is open[00:31:38] swyx: sourced at, yeah. Yeah, sorry, I thought you thought you meant Grok the chip company.[00:31:41] swyx: No, no, no, yeah, you mean Twitter Grok.[00:31:43] NLW: Although Grok the chip company, I think is even more interesting in some ways, but and then there's the, you know, obviously Llama3 is the one that sort of everyone's wondering about too. And, you know, my, my sense of that, the little bit that, you know, Zuckerberg was talking about Llama 3 earlier this year, suggested that, at least from an ambition standpoint, he was not thinking about how do I make sure that, you know, meta content, you know, keeps, keeps the open source thrown, you know, vis a vis Mistral.[00:32:09] NLW: He was thinking about how you go after, you know, how, how he, you know, releases a thing that's, you know, every bit as good as whatever OpenAI is on at that point.[00:32:16] Alessio: Yeah. From what I heard in the hallways at, at GDC, Llama 3, the, the biggest model will be, you 260 to 300 billion parameters, so that that's quite large.[00:32:26] Alessio: That's not an open source model. You know, you cannot give people a 300 billion parameters model and ask them to run it. You know, it's very compute intensive. So I think it is, it[00:32:35] swyx: can be open source. It's just, it's going to be difficult to run, but that's a separate question.[00:32:39] Alessio: It's more like, as you think about what they're doing it for, you know, it's not like empowering the person running.[00:32:45] Alessio: llama. On, on their laptop, it's like, oh, you can actually now use this to go after open AI, to go after Anthropic, to go after some of these companies at like the middle complexity level, so to speak. Yeah. So obviously, you know, we estimate Gentala on the podcast, they're doing a lot here, they're making PyTorch better.[00:33:03] Alessio: You know, they want to, that's kind of like maybe a little bit of a shorted. Adam Bedia, in a way, trying to get some of the CUDA dominance out of it. Yeah, no, it's great. The, I love the duck destroying a lot of monopolies arc. You know, it's, it's been very entertaining. Let's bridge[00:33:18] NLW: into the sort of big tech side of this, because this is obviously like, so I think actually when I did my episode, this was one of the I added this as one of as an additional war that, that's something that I'm paying attention to.[00:33:29] NLW: So we've got Microsoft's moves with inflection, which I think pretend, potentially are being read as A shift vis a vis the relationship with OpenAI, which also the sort of Mistral large relationship seems to reinforce as well. We have Apple potentially entering the race, finally, you know, giving up Project Titan and and, and kind of trying to spend more effort on this.[00:33:50] NLW: Although, Counterpoint, we also have them talking about it, or there being reports of a deal with Google, which, you know, is interesting to sort of see what their strategy there is. And then, you know, Meta's been largely quiet. We kind of just talked about the main piece, but, you know, there's, and then there's spoilers like Elon.[00:34:07] NLW: I mean, you know, what, what of those things has sort of been most interesting to you guys as you think about what's going to shake out for the rest of this[00:34:13] Apple MM1[00:34:13] swyx: year? I'll take a crack. So the reason we don't have a fifth war for the Big Tech Wars is that's one of those things where I just feel like we don't cover differently from other media channels, I guess.[00:34:26] swyx: Sure, yeah. In our anti interestness, we actually say, like, we try not to cover the Big Tech Game of Thrones, or it's proxied through Twitter. You know, all the other four wars anyway, so there's just a lot of overlap. Yeah, I think absolutely, personally, the most interesting one is Apple entering the race.[00:34:41] swyx: They actually released, they announced their first large language model that they trained themselves. It's like a 30 billion multimodal model. People weren't that impressed, but it was like the first time that Apple has kind of showcased that, yeah, we're training large models in house as well. Of course, like, they might be doing this deal with Google.[00:34:57] swyx: I don't know. It sounds very sort of rumor y to me. And it's probably, if it's on device, it's going to be a smaller model. So something like a Jemma. It's going to be smarter autocomplete. I don't know what to say. I'm still here dealing with, like, Siri, which hasn't, probably hasn't been updated since God knows when it was introduced.[00:35:16] swyx: It's horrible. I, you know, it, it, it makes me so angry. So I, I, one, as an Apple customer and user, I, I'm just hoping for better AI on Apple itself. But two, they are the gold standard when it comes to local devices, personal compute and, and trust, like you, you trust them with your data. And. I think that's what a lot of people are looking for in AI, that they have, they love the benefits of AI, they don't love the downsides, which is that you have to send all your data to some cloud somewhere.[00:35:45] swyx: And some of this data that we're going to feed AI is just the most personal data there is. So Apple being like one of the most trusted personal data companies, I think it's very important that they enter the AI race, and I hope to see more out of them.[00:35:58] Alessio: To me, the, the biggest question with the Google deal is like, who's paying who?[00:36:03] Alessio: Because for the browsers, Google pays Apple like 18, 20 billion every year to be the default browser. Is Google going to pay you to have Gemini or is Apple paying Google to have Gemini? I think that's, that's like what I'm most interested to figure out because with the browsers, it's like, it's the entry point to the thing.[00:36:21] Alessio: So it's really valuable to be the default. That's why Google pays. But I wonder if like the perception in AI is going to be like, Hey. You just have to have a good local model on my phone to be worth me purchasing your device. And that was, that's kind of drive Apple to be the one buying the model. But then, like Shawn said, they're doing the MM1 themselves.[00:36:40] Alessio: So are they saying we do models, but they're not as good as the Google ones? I don't know. The whole thing is, it's really confusing, but. It makes for great meme material on on Twitter.[00:36:51] swyx: Yeah, I mean, I think, like, they are possibly more than OpenAI and Microsoft and Amazon. They are the most full stack company there is in computing, and so, like, they own the chips, man.[00:37:05] swyx: Like, they manufacture everything so if, if, if there was a company that could do that. You know, seriously challenge the other AI players. It would be Apple. And it's, I don't think it's as hard as self driving. So like maybe they've, they've just been investing in the wrong thing this whole time. We'll see.[00:37:21] swyx: Wall Street certainly thinks[00:37:22] NLW: so. Wall Street loved that move, man. There's a big, a big sigh of relief. Well, let's, let's move away from, from sort of the big stuff. I mean, the, I think to both of your points, it's going to.[00:37:33] Meta's $800b AI rebrand[00:37:33] NLW: Can I, can[00:37:34] swyx: I, can I, can I jump on factoid about this, this Wall Street thing? I went and looked at when Meta went from being a VR company to an AI company.[00:37:44] swyx: And I think the stock I'm trying to look up the details now. The stock has gone up 187% since Lamo one. Yeah. Which is $830 billion in market value created in the past year. . Yeah. Yeah.[00:37:57] NLW: It's, it's, it's like, remember if you guys haven't Yeah. If you haven't seen the chart, it's actually like remarkable.[00:38:02] NLW: If you draw a little[00:38:03] swyx: arrow on it, it's like, no, we're an AI company now and forget the VR thing.[00:38:10] NLW: It's it, it is an interesting, no, it's, I, I think, alessio, you called it sort of like Zuck's Disruptor Arc or whatever. He, he really does. He is in the midst of a, of a total, you know, I don't know if it's a redemption arc or it's just, it's something different where, you know, he, he's sort of the spoiler.[00:38:25] NLW: Like people loved him just freestyle talking about why he thought they had a better headset than Apple. But even if they didn't agree, they just loved it. He was going direct to camera and talking about it for, you know, five minutes or whatever. So that, that's a fascinating shift that I don't think anyone had on their bingo card, you know, whatever, two years ago.[00:38:41] NLW: Yeah. Yeah,[00:38:42] swyx: we still[00:38:43] Alessio: didn't see and fight Elon though, so[00:38:45] swyx: that's what I'm really looking forward to. I mean, hey, don't, don't, don't write it off, you know, maybe just these things take a while to happen. But we need to see and fight in the Coliseum. No, I think you know, in terms of like self management, life leadership, I think he has, there's a lot of lessons to learn from him.[00:38:59] swyx: You know he might, you know, you might kind of quibble with, like, the social impact of Facebook, but just himself as a in terms of personal growth and, and, you know, Per perseverance through like a lot of change and you know, everyone throwing stuff his way. I think there's a lot to say about like, to learn from, from Zuck, which is crazy 'cause he's my age.[00:39:18] swyx: Yeah. Right.[00:39:20] AI Engineer landscape - from baby AGIs to vertical Agents[00:39:20] NLW: Awesome. Well, so, so one of the big things that I think you guys have, you know, distinct and, and unique insight into being where you are and what you work on is. You know, what developers are getting really excited about right now. And by that, I mean, on the one hand, certainly, you know, like startups who are actually kind of formalized and formed to startups, but also, you know, just in terms of like what people are spending their nights and weekends on what they're, you know, coming to hackathons to do.[00:39:45] NLW: And, you know, I think it's a, it's a, it's, it's such a fascinating indicator for, for where things are headed. Like if you zoom back a year, right now was right when everyone was getting so, so excited about. AI agent stuff, right? Auto, GPT and baby a GI. And these things were like, if you dropped anything on YouTube about those, like instantly tens of thousands of views.[00:40:07] NLW: I know because I had like a 50,000 view video, like the second day that I was doing the show on YouTube, you know, because I was talking about auto GPT. And so anyways, you know, obviously that's sort of not totally come to fruition yet, but what are some of the trends in what you guys are seeing in terms of people's, people's interest and, and, and what people are building?[00:40:24] Alessio: I can start maybe with the agents part and then I know Shawn is doing a diffusion meetup tonight. There's a lot of, a lot of different things. The, the agent wave has been the most interesting kind of like dream to reality arc. So out of GPT, I think they went, From zero to like 125, 000 GitHub stars in six weeks, and then one year later, they have 150, 000 stars.[00:40:49] Alessio: So there's kind of been a big plateau. I mean, you might say there are just not that many people that can start it. You know, everybody already started it. But the promise of, hey, I'll just give you a goal, and you do it. I think it's like, amazing to get people's imagination going. You know, they're like, oh, wow, this This is awesome.[00:41:08] Alessio: Everybody, everybody can try this to do anything. But then as technologists, you're like, well, that's, that's just like not possible, you know, we would have like solved everything. And I think it takes a little bit to go from the promise and the hope that people show you to then try it yourself and going back to say, okay, this is not really working for me.[00:41:28] Alessio: And David Wong from Adept, you know, they in our episode, he specifically said. We don't want to do a bottom up product. You know, we don't want something that everybody can just use and try because it's really hard to get it to be reliable. So we're seeing a lot of companies doing vertical agents that are narrow for a specific domain, and they're very good at something.[00:41:49] Alessio: Mike Conover, who was at Databricks before, is also a friend of Latentspace. He's doing this new company called BrightWave doing AI agents for financial research, and that's it, you know, and they're doing very well. There are other companies doing it in security, doing it in compliance, doing it in legal.[00:42:08] Alessio: All of these things that like, people, nobody just wakes up and say, Oh, I cannot wait to go on AutoGPD and ask it to do a compliance review of my thing. You know, just not what inspires people. So I think the gap on the developer side has been the more bottom sub hacker mentality is trying to build this like very Generic agents that can do a lot of open ended tasks.[00:42:30] Alessio: And then the more business side of things is like, Hey, If I want to raise my next round, I can not just like sit around the mess, mess around with like super generic stuff. I need to find a use case that really works. And I think that that is worth for, for a lot of folks in parallel, you have a lot of companies doing evals.[00:42:47] Alessio: There are dozens of them that just want to help you measure how good your models are doing. Again, if you build evals, you need to also have a restrained surface area to actually figure out whether or not it's good, right? Because you cannot eval anything on everything under the sun. So that's another category where I've seen from the startup pitches that I've seen, there's a lot of interest in, in the enterprise.[00:43:11] Alessio: It's just like really. Fragmented because the production use cases are just coming like now, you know, there are not a lot of long established ones to, to test against. And so does it, that's kind of on the virtual agents and then the robotic side it's probably been the thing that surprised me the most at NVIDIA GTC, the amount of robots that were there that were just like robots everywhere.[00:43:33] Alessio: Like, both in the keynote and then on the show floor, you would have Boston Dynamics dogs running around. There was, like, this, like fox robot that had, like, a virtual face that, like, talked to you and, like, moved in real time. There were industrial robots. NVIDIA did a big push on their own Omniverse thing, which is, like, this Digital twin of whatever environments you're in that you can use to train the robots agents.[00:43:57] Alessio: So that kind of takes people back to the reinforcement learning days, but yeah, agents, people want them, you know, people want them. I give a talk about the, the rise of the full stack employees and kind of this future, the same way full stack engineers kind of work across the stack. In the future, every employee is going to interact with every part of the organization through agents and AI enabled tooling.[00:44:17] Alessio: This is happening. It just needs to be a lot more narrow than maybe the first approach that we took, which is just put a string in AutoGPT and pray. But yeah, there's a lot of super interesting stuff going on.[00:44:27] swyx: Yeah. Well, he Let's recover a lot of stuff there. I'll separate the robotics piece because I feel like that's so different from the software world.[00:44:34] swyx: But yeah, we do talk to a lot of engineers and you know, that this is our sort of bread and butter. And I do agree that vertical agents have worked out a lot better than the horizontal ones. I think all You know, the point I'll make here is just the reason AutoGPT and maybe AGI, you know, it's in the name, like they were promising AGI.[00:44:53] swyx: But I think people are discovering that you cannot engineer your way to AGI. It has to be done at the model level and all these engineering, prompt engineering hacks on top of it weren't really going to get us there in a meaningful way without much further, you know, improvements in the models. I would say, I'll go so far as to say, even Devin, which is, I would, I think the most advanced agent that we've ever seen, still requires a lot of engineering and still probably falls apart a lot in terms of, like, practical usage.[00:45:22] swyx: Or it's just, Way too slow and expensive for, you know, what it's, what it's promised compared to the video. So yeah, that's, that's what, that's what happened with agents from, from last year. But I, I do, I do see, like, vertical agents being very popular and, and sometimes you, like, I think the word agent might even be overused sometimes.[00:45:38] swyx: Like, people don't really care whether or not you call it an AI agent, right? Like, does it replace boring menial tasks that I do That I might hire a human to do, or that the human who is hired to do it, like, actually doesn't really want to do. And I think there's absolutely ways in sort of a vertical context that you can actually go after very routine tasks that can be scaled out to a lot of, you know, AI assistants.[00:46:01] swyx: So, so yeah, I mean, and I would, I would sort of basically plus one what let's just sit there. I think it's, it's very, very promising and I think more people should work on it, not less. Like there's not enough people. Like, we, like, this should be the, the, the main thrust of the AI engineer is to look out, look for use cases and, and go to a production with them instead of just always working on some AGI promising thing that never arrives.[00:46:21] swyx: I,[00:46:22] NLW: I, I can only add that so I've been fiercely making tutorials behind the scenes around basically everything you can imagine with AI. We've probably done, we've done about 300 tutorials over the last couple of months. And the verticalized anything, right, like this is a solution for your particular job or role, even if it's way less interesting or kind of sexy, it's like so radically more useful to people in terms of intersecting with how, like those are the ways that people are actually.[00:46:50] NLW: Adopting AI in a lot of cases is just a, a, a thing that I do over and over again. By the way, I think that's the same way that even the generalized models are getting adopted. You know, it's like, I use midjourney for lots of stuff, but the main thing I use it for is YouTube thumbnails every day. Like day in, day out, I will always do a YouTube thumbnail, you know, or two with, with Midjourney, right?[00:47:09] NLW: And it's like you can, you can start to extrapolate that across a lot of things and all of a sudden, you know, a AI doesn't. It looks revolutionary because of a million small changes rather than one sort of big dramatic change. And I think that the verticalization of agents is sort of a great example of how that's[00:47:26] swyx: going to play out too.[00:47:28] Adept episode - Screen Multimodality[00:47:28] swyx: So I'll have one caveat here, which is I think that Because multi modal models are now commonplace, like Cloud, Gemini, OpenAI, all very very easily multi modal, Apple's easily multi modal, all this stuff. There is a switch for agents for sort of general desktop browsing that I think people so much for joining us today, and we'll see you in the next video.[00:48:04] swyx: Version of the the agent where they're not specifically taking in text or anything They're just watching your screen just like someone else would and and I'm piloting it by vision And you know in the the episode with David that we'll have dropped by the time that this this airs I think I think that is the promise of adept and that is a promise of what a lot of these sort of desktop agents Are and that is the more general purpose system That could be as big as the browser, the operating system, like, people really want to build that foundational piece of software in AI.[00:48:38] swyx: And I would see, like, the potential there for desktop agents being that, that you can have sort of self driving computers. You know, don't write the horizontal piece out. I just think we took a while to get there.[00:48:48] NLW: What else are you guys seeing that's interesting to you? I'm looking at your notes and I see a ton of categories.[00:48:54] Top Model Research from January Recap[00:48:54] swyx: Yeah so I'll take the next two as like as one category, which is basically alternative architectures, right? The two main things that everyone following AI kind of knows now is, one, the diffusion architecture, and two, the let's just say the, Decoder only transformer architecture that is popularized by GPT.[00:49:12] swyx: You can read, you can look on YouTube for thousands and thousands of tutorials on each of those things. What we are talking about here is what's next, what people are researching, and what could be on the horizon that takes the place of those other two things. So first of all, we'll talk about transformer architectures and then diffusion.[00:49:25] swyx: So transformers the, the two leading candidates are effectively RWKV and the state space models the most recent one of which is Mamba, but there's others like the Stripe, ENA, and the S four H three stuff coming out of hazy research at Stanford. And all of those are non quadratic language models that scale the promise to scale a lot better than the, the traditional transformer.[00:49:47] swyx: That this might be too theoretical for most people right now, but it's, it's gonna be. It's gonna come out in weird ways, where, imagine if like, Right now the talk of the town is that Claude and Gemini have a million tokens of context and like whoa You can put in like, you know, two hours of video now, okay But like what if you put what if we could like throw in, you know, two hundred thousand hours of video?[00:50:09] swyx: Like how does that change your usage of AI? What if you could throw in the entire genetic sequence of a human and like synthesize new drugs. Like, well, how does that change things? Like, we don't know because we haven't had access to this capability being so cheap before. And that's the ultimate promise of these two models.[00:50:28] swyx: They're not there yet but we're seeing very, very good progress. RWKV and Mamba are probably the, like, the two leading examples, both of which are open source that you can try them today and and have a lot of progress there. And the, the, the main thing I'll highlight for audio e KV is that at, at the seven B level, they seem to have beat LAMA two in all benchmarks that matter at the same size for the same amount of training as an open source model.[00:50:51] swyx: So that's exciting. You know, they're there, they're seven B now. They're not at seven tb. We don't know if it'll. And then the other thing is diffusion. Diffusions and transformers are are kind of on the collision course. The original stable diffusion already used transformers in in parts of its architecture.[00:51:06] swyx: It seems that transformers are eating more and more of those layers particularly the sort of VAE layer. So that's, the Diffusion Transformer is what Sora is built on. The guy who wrote the Diffusion Transformer paper, Bill Pebbles, is, Bill Pebbles is the lead tech guy on Sora. So you'll just see a lot more Diffusion Transformer stuff going on.[00:51:25] swyx: But there's, there's more sort of experimentation with diffusion. I'm holding a meetup actually here in San Francisco that's gonna be like the state of diffusion, which I'm pretty excited about. Stability's doing a lot of good work. And if you look at the, the architecture of how they're creating Stable Diffusion 3, Hourglass Diffusion, and the inconsistency models, or SDXL Turbo.[00:51:45] swyx: All of these are, like, very, very interesting innovations on, like, the original idea of what Stable Diffusion was. So if you think that it is expensive to create or slow to create Stable Diffusion or an AI generated art, you are not up to date with the latest models. If you think it is hard to create text and images, you are not up to date with the latest models.[00:52:02] swyx: And people still are kind of far behind. The last piece of which is the wildcard I always kind of hold out, which is text diffusion. So Instead of using autogenerative or autoregressive transformers, can you use text to diffuse? So you can use diffusion models to diffuse and create entire chunks of text all at once instead of token by token.[00:52:22] swyx: And that is something that Midjourney confirmed today, because it was only rumored the past few months. But they confirmed today that they were looking into. So all those things are like very exciting new model architectures that are, Maybe something that we'll, you'll see in production two to three years from now.[00:52:37] swyx: So the couple of the trends[00:52:38] NLW: that I want to just get your takes on, because they're sort of something that, that seems like they're coming up are one sort of these, these wearable, you know, kind of passive AI experiences where they're absorbing a lot of what's going on around you and then, and then kind of bringing things back.[00:52:53] NLW: And then the, the other one that I, that I wanted to see if you guys had thoughts on were sort of this next generation of chip companies. Obviously there's a huge amount of emphasis. On on hardware and silicon and, and, and different ways of doing things, but, y

In this episode, Ben Bajarin and Jay Goldberg discuss the competition faced by Nvidia in the semiconductor industry. They explore various competitors, including AMD, Intel, and startups like Grok, Etched, and Cerebras. They also delve into the threat posed by custom silicon and the strategies of hyperscalers like Google, Microsoft, Facebook, and Amazon. Overall, the conversation highlights the challenges and opportunities for Nvidia in maintaining its position as a leader in the market. In this conversation, Jay Goldberg and Ben Bajarin discuss various themes related to Nvidia and the AI market. They explore the growing moat of Nvidia and the dominance of CUDA as a software platform. They also discuss the ease of use and stickiness of CUDA, as well as the uncertainty of Nvidia's software adoption. The conversation delves into the market potential and consumer applications of AI, as well as the slow progression of the AI market. They also touch on the risks of AI factories and inventory cycles, the potential slowdown of performance gains, and the regulatory concerns for Nvidia. The conversation concludes with a discussion on the impact of China's market and US sanctions.

Today, my guest is 21-year-old Gavin Uberti, who dropped out of Harvard to build Etched, which is one of the most fascinating companies I've seen. The topic of our conversation is the ongoing revolution in artificial intelligence, and more specifically the chips and technology that powers these incredible models. To date, general-purpose AI chips like Nvidia GPUs have powered the revolution, but Gavin's bet is that purpose-built chips, hard-coded for the underlying model architecture, will dramatically reduce the latency and cost of running models like GPT4. We're about to embark on what Gavin calls the “largest infrastructure buildout since the industrial revolution”, and I won't spoil what he thinks this will unlock for all of us. It is so uplifting to me that someone so young can be working on something so big. Please enjoy this great conversation with Gavin Uberti. Check out Etched.AI Listen to Founders Podcast For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Tegus. Tegus is the modern research platform for leading investors, and provider of Canalyst. Tired of calculating fully diluted shares outstanding? Access every publicly-reported data point and industry-specific KPI through their database of over 4,000 drivable global models hand-built by a team of sector-focused analysts, 35+ industry comp sheets, and Excel add-ins that let you use their industry-leading data in your own spreadsheets. Tegus' models automatically update each quarter, including hard-to-calculate KPIs like stock-based compensation and organic growth rates, empowering investors to bypass the friction of sourcing, building, and updating models. Make efficiency your competitive advantage and take back your time today. As a listener, you can trial Canalyst by Tegus for free by visiting tegus.co/patrick. ----- Invest Like the Best is a property of Colossus, LLC. For more episodes of Invest Like the Best, visit joincolossus.com/episodes.  Past guests include Tobi Lutke, Kevin Systrom, Mike Krieger, John Collison, Kat Cole, Marc Andreessen, Matthew Ball, Bill Gurley, Anu Hariharan, Ben Thompson, and many more. Stay up to date on all our podcasts by signing up to Colossus Weekly, our quick dive every Sunday highlighting the top business and investing concepts from our podcasts and the best of what we read that week. Sign up here. Follow us on Twitter: @patrick_oshag | @JoinColossus Show Notes: (00:03:41) - (first question) - Born too late to explore the world, too early to explore the stars (00:05:59) - Interpreting and defining superintelligence (00:07:20) - Excitement we can have for an AI driven future  (00:09:25) - Overview and basic terminology of the transformers that power AI  (00:15:53) - What Q* is and the rumors around it  (00:20:41) - Robotics, machinery, and what's interesting about them  (00:23:18) - The problem of latency and computing power  (00:8:55) - Needing to build physical infrastructure that doesn't exist (00:32:18) - Inference and training AI models  (00:36:00) - Major stages of chip design and the upper limits of speed  (00:45:56) - Customers for billion dollar generative AI models (00:48:56) - A sci-fi-esque reality and the politicization of AI (00:50:38) - The Bitter Lesson and the implications of powerful AI models  (00:56:27) - The most important companies in the AI space today  (00:61:52) - Strategically building a defensible AI product  (01:04:07) - Software development and why other AI companies fail  (01:06:51) - Specialization and chip performance improvement  (01:15:34) - Why the transformer remains the leading architecture  (01:17:26) - A proliferation of models beyond the major players and data access (01:21:19) - The kindest thing anyone has ever done for Gavin 

Happy Monday Chat Show, where Monday continues to be the new Wednesday! Hubby Kev joins Maria to discuss new fatherhood, overcoming deep seeded money fears, desires meeting beliefs, do's and don'ts of luxury brand shopping, the depth of old patterns, the shallowness of new patterns, the power of being present and the healing power of gratitude. Chat Show bonus: the talents and story of actor Ron Palillo, aka Arnold Horshack, Maria's visit to the recent Pink concert, Heal Squad fan interaction and how other celebs interact with fans.   Aggravation Due to Minutia: how limiting it is and how to cope with it. Releasing Money Fears: how doing so invites money to flow to you. Beliefs Meeting Desires: what happens after, and more money talk. Buying Luxury Brands: what to buy, what not to buy and when it's okay to do so. The Crippling Power of Old Patterns: old behavioral patterns are deeply etched into our bodies, making them hard to shake. The Uplifting Power of New Patterns: new patterns are not as deeply etched; therefore, they are harder to maintain. Life is for the Living: live with presence and gratitude – things often could be much worse. Ron Palillo as Arnold Horshack: how Ron landed the role, how talented he was. How fleeting success is for most. Pink Plays Sofi Stadium LA: Maria meets Heal Squad fans, the different ways celebrities interpret fan appreciation.    HEAL SQUAD SOCIALS IG: https://www.instagram.com/healsquad/ TikTok: https://www.tiktok.com/@healsquadxmaria HEAL SQUAD RESOURCES: Website: https://www.mariamenounos.com Curated Macy's Page: https://www.macys.com/healsquad Rosetta Stone: https://www.rosettastone.com/healsquad 40% off Noom: https://www.noom.com Just Thrive: https://justthrivehealth.com and use promo code: HEALSQUAD 20% off your first 90-day bottle of Just Calm and Just Thrive Probiotic ABOUT MARIA MENOUNOS: Emmy Award-winning journalist, TV personality, actress, 2x NYT best-selling author, former pro-wrestler and brain tumor survivor, Maria Menounos' passion is to see others heal and to get better in all areas of life. ABOUT HEAL SQUAD x MARIA MENOUNOS: A daily digital talk-show that brings you the world's leading healers, experts, and celebrities to share groundbreaking secrets and tips to getting better in all areas of life. DISCLAIMER: This Podcast and all related content [published or distributed by or on behalf of Maria Menounos or Mariamenounos.com] is for informational purposes only and may include information that is general in nature and that is not specific to you. Any information or opinions provided by guest experts or hosts featured within website or on Company's Podcast are their own; not those of Maria Menounos or the Company. Accordingly, Maria Menounos and the Company cannot be responsible for any results or consequences or actions you may take based on such information or opinions. If you have, or suspect you may have, a health-care emergency, please contact a qualified health care professional for treatment.