Podcasts about normies

ep 30: Heroes: Joseph. William Barclay wrote: "Endurance is not just the ability to bear a hard thing, but to turn it into glory." All things being equal, it's a noble sentiment - still hard - but a noble one. But things are rarely equal. Consider: turning down the second donut is not the same thing as enduring the pressure of incurring disfavor from management because you refuse to stretch the truth on a report. This week, Nate, Sean, and Adam sit down to discuss the third "hero" of the faith in Nate's summer series, "Heroes", by taking a look at Joseph. Some might say that his efforts were super-human, but really it came down to simple - but conseqential - choices. It's worth prioritizing time to listen to it, if you missed it. Then come back and listen to the Normies talk about it. ▶️ Nate's Message on YouTube: https://tinyurl.com/ytp4e3df

As the dust settles after keynote season, Ben and Andrew answer mailbag questions and talk through the future prospects for Cursor and Perplexity, multi-modality possibilities for AI devices, Apple's advantages if they deepen their partnership with OpenAI, more on Meta's investment in Scale AI, the business logic of chasing superintelligence, and takes on an AI conversation between Bill Simmons and Chuck Klosterman.

Whatcha 349: Episode 349 - Almost another 10 episodes down, another round of What have your Hosts been enjoying with a special Whatcha episode! Your hosts almost have a year's worth of content for you, so get ready to celebrate another milestone episode by hearing about some Normie Pop Culture on a chill, relaxed episode of Normies Like Us. Thank you so much for listening, Normies! Insta: @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

What is Sean Beans Best role? Is it Lord of the Rings? Guillermo del Toro's Frankenstein trailer and more from the Normie movie list!#movies #games #tv Donate Here - https://www.paypal.com/donate?hosted_button_id=Y6TSU94STL9PUAll our Links - https://direct.me/theundergroundWhat is our Value for Value System?Value for Value is a listener based business model where you determine the value our content is worth. If you feel you are getting value from our content, please consider becoming a supporter by donating your time, talent, & treasure. Time: meaning any effort you put in to improving or developing our content or sharing it.Talent: meaning any skills you possess that you want to contribute to help us develop our platform (ie., artwork for podcast episodes, branding design, editing, etc). Treasure: pay a one-off amount or a recurring contribution for the value you think our service is worth. Please be sure with any payment you send via PayPal to include a note, so that we can read it on the livestream, if you'd like. Your donations keep our content advertisement free. Thank you.Where do you support us? Click the direct.me link to find our PayPal link for contributions as well as our YouTube, Odysee, TikTok, Instagram, and Twitter links! We appreciate the engagement from all of you! Contribution Amounts:Donors of less than $100 will automatically become Producers of the corresponding episode!Donors of $100 and above will automatically become Associate Executive Producers of the corresponding episode!Donors of $200 and above will receive the Executive Producer credit for that episode!We will list the credits in our show notes as Executive Producer, Associate Executive Producer, & Producer and is a genuine credit we will vouch for. Generally, executive producers are primarily responsible for financing the project. Therefore, this is a legitimate credit for your resume. Please note any amount will remain anonymous upon request.All donors will receive a special mention on the show unless otherwise noted!Special Note: The Value for Value business model originated with Adam Curry & John C. Dvorak of the No Agenda Podcast.https://www.youtube.com/watch?v=PgihPtnBSek

The Last of Us: Season 2 - Ep 348: The struggle to survive continues as we try to avoid killer mushrooms and psycho muscle mommies while we discuss HBO Max's returning series The Last of Us Season 2! Joel and Ellie return... kind of. We discuss Zombies, Spoilers, and hateful gamers only on Normies Like Us! @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

EP179: pada ga bosen sama capek apa berantem sama normies? kalau emang goblok yaudah biarin aja

Are you watching this on Spotify? If not, enjoy this in video form NOW ON SPOTIFY! THEORY SABERS - https://www.theorysabers.com/ MERCH - https://www.swtheorymerch.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Nausicaä of the Valley of the Wind - Ep 347: We return to our longform examination of acclaimed animation director, Hayao Miyazaki, and find ourselves in an apocalyptic future where the struggle for survival is heading to a clash between man and nature. Can one girl's compassion be the beacon of light that fulfills a prophecy to end the bloodshed once and for all? Find out as we dive into “Nausicaä of the Valley of the Wind” on Normies Like Us! @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

Sarah is over the moon that we're talking about celebrities again, especially because we're keeping it tight this time around and limiting it to celebrity/normal person romance (mostly -- Jen is ungovernable)! Yes, Sarah is going to talk about Perfect, but also we're going to talk about celebrities who fall for stranger normies, for normies they knew before they were celebrities, for normies who work with them, and for normies who protect them. The episode is 1200 books long and honestly, we're not sorry. In case you wondered why Sarah is breaking her rule about talking about her own books, it's that time of year again! Her next book, These Summer Storms (complete with sexy, silent, deeply competent hero) is out in July and is going on tour, and there is a real deal Fated Mates LIVE planned for July 8th in St. Louis, MO! Get tickets to any of these events (Jen will be at a bunch of them, and other pod friends will be popping up along the way) at sarahmaclean.net/tour! If you can't make the tour, you can preorder These Summer Storms signed with a special romance dust jacket from The Ripped Bodice. If you want more Fated Mates in your life, please join our Patreon, which comes with an extremely busy and fun Discord community! Join other magnificent firebirds to hang out, talk romance, and be cool together in a private group full of excellent people. Learn more at patreon.com.Our next read along is Cate C Wells's Run Posy Run, available right now in print or ebook, or with your monthly subscription to Kindle Unlimited at Amazon, Apple Books, and Libro.fm.The Books Perfect by Judith McNaughtAll The Feels by Olivia DadeThe Hollywood Jinx by Sariah WilsonFan Service by Rosie DananNot a Bad Boy by Louisa EdwardsLOL by Lucy Lennox & Molly MaddoxThe Mechanic by Reina TorresThe Stand-In by Lily ChuThe Decoy Girlfriend by Lillie Vale32 Days in May by Betty CorrelloThe Bollywood Bride by Sonali DevGhosted by JM DarhowerSmall Town Swoon by Melanie Harlow

Mission: Impossible - The Final Reckoning - Ep 346: We answer the call once more as our Xenu overlord rises up to save the world in the way only he can - doing the most impossible stunts possible! Your hosts choose to accept the mission as they discuss Mission: Impossible - The Final Reckoning, the once two-part supposed send-off to one of the world's biggest movie stars. Does this film go bigger and better than the rest? Or is the mission truly, finally impossible? Tune in to find out, only on Normies Like Us! This Podcast will self-destruct in 5 seconds. 5. 4. 3. 2... @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

Andor Season 2 - Ep 345: We return to a long time ago in a galaxy far, far away while we cover the 2nd and final season of the Disney+ Star Wars series ”ANDOR” on Normies Like Us! @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/ Special Guest: Adam Bennett.

Real Life Devon [Redacted silence.] Possibly building up for a season finale of his own. Or meditating on NASA budget cuts. Either way—stoic. Steven We wrapped Andor, and while it stuck the landing, there's still one huge question: Where are Hera, Chopper, and the Ghost crew?! Justice for space moms and droid chaos: #ReleaseAndorTheRebelsCut Also, Steven took us on a wild detour into Monopoly studies with college students—spoiler alert: inherited wealth makes people awful. Shocking, we know. Ben Fresh from science camp and rocking a healthy dose of jet lag, Ben managed to be late to his own poetry reading. But hey—archery, mountain biking, and night hikes do things to a man. Possibly became a druid out there. Future or Now Steven “Hand hand fingers thumb…” No, we didn't start a toddler book club—Steven shared research that suggests chimpanzees drum with distinct rhythmic patterns depending on their subspecies. Which means your drummer friend? Maybe not that unique. The longest drum solo in history begins now. Devon NASA is facing a 53% cut to its science budget under the proposed presidential plan. That includes major slashes to earth and space science programs. Meanwhile, human spaceflight would get a commercial makeover. We quote Devon's son: “Does Trump believe in God?” Also, we're apparently heading back to the moon—just, you know, without a weather report. Read about the cuts Ben Ben took us on an emotional journey through the 2024 animated documentary Piece by Piece, which somehow manages to combine Lego stop-motion, Carl Sagan, and protest imagery into one transcendent experience. Trailer? Here. Carl Sagan clip? Also here. “Happy”? But make it devastating: This. More? Wikipedia's got you. Book Club This week: The Evolution of Human Science by Ted Chiang What if human research became too advanced for most people to understand? No characters, just ideas. It's written like a news article, and it's fascinating. Humanity has split into Normies and Meta-Humans, the latter genetically optimized before birth to the point that they operate on an entirely different intellectual plane. They use “DNT” (Digital Neural Transfer) and leave the rest of us behind with our podcasts and spreadsheets. Thought-provoking stuff. Included with Audible [if you're listening along]. Next week: Liking What You See by Ted Chiang Yes, we're doing another Chiang short, because why not dive deeper into techno-philosophical existential dread? (Roughly 1.5 hours—get reading!) Want more? Join the Discord. Support us on Patreon to get early episodes, bonus content, playlists, and the unedited chaos. And if you're listening on YouTube—hit that subscribe button. Or don't. But then we'll tell the Meta-Humans on you.

Bitcoin expert, gold bug and comic Dominic Frisby returns to the show to talk to James about - what else? - gold, crypto and comedy. Frisby explains why the price of gold is rocketing, warns of the confiscatory measures that are bound to be coming our way, and tries to persuade a sceptical James that the US is the best bolthole destination. They also talk about Frisby's amazing success with his 5/2 diet (five days eating, two fasting) and about Dom's Christian faith. James teases Dom cruelly about his latent Normie tendencies. Dom's newsletter the Flying Frisby is a must-read for goldbugs: https://www.theflyingfrisby.com https://www.designmynight.com/london/bars/bethnal-green/backyard-comedy-club/dominic-frisby-the-mid-year-review https://www.frisbys.news/p/get-your-lols-lined-up-where-to-see ↓  If you need silver and gold bullion - and who wouldn't in these dark times? - then the place to go is The Pure Gold Company. Either they can deliver worldwide to your door - or store it for you in vaults in London and Zurich. You even use it for your pension. Cash out of gold whenever you like: liquidate within 24 hours.  https://bit.ly/James-Delingpole-Gold ↓ ↓  How environmentalists are killing the planet, destroying the economy and stealing your children's future. In Watermelons, an updated edition of his ground-breaking 2011 book, JD tells the shocking true story of how a handful of political activists, green campaigners, voodoo scientists and psychopathic billionaires teamed up to invent a fake crisis called ‘global warming'. This updated edition includes two new chapters which, like a geo-engineered flood, pour cold water on some of the original's sunny optimism and provide new insights into the diabolical nature of the climate alarmists' sinister master plan. Purchase Watermelons by James Delingpole here:  https://jamesdelingpole.co.uk/Shop/ ↓ ↓ ↓ Buy James a Coffee at: https://www.buymeacoffee.com/jamesdelingpole The official website of James Delingpole: https://jamesdelingpole.co.uk x

Normie rose to national prominence in the mid-1960s as a pop star and teen idol, backed by The Playboys. Hear the Remember When Legends interviews live each Sunday on 3AW at 9.15pm or catch up weekly here.See omnystudio.com/listener for privacy information.

This is a preview of the content you can expect when you support us by joining the Frightday Society at http://thefrightdaysociety.org.  We've been chatting elevated and art house horror for a bit now...but what about the non-genre productions? What are your personal favorites? What should move to the top of our queue?

Animated Movie Draft - Ep 344: Grab your drafting paper, pencils, and every crayon you can find because on today's episode your hosts are scribbling down their thoughts and converting them to pretty pictures with an Animated Movie Draft! We go head to head to see who can pick the best films two dimensions can offer, only on Normies Like Us! @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

The Last of Us Season 2 is getting a lot of backlash from people who loved The Last of Us Part 2 the video game, as well as normies who didn't know about Joel. Yeah, it's not going well. The audience score on Rotten Tomatoes is ABYSMAL. And now it's being called "review bombing" by Forbes. Then we talk about a bunch of gaming news including Nintendo bricking Switches and Pac-Man donuts. 00:00 Clownfish TV resumes live streams focusing on gaming and tech news, while addressing spam issues, launching new merchandise, and expanding content despite challenges. 08:45 The Last of Us Season 2 is facing major backlash and declining ratings due to significant changes from the game, while Krispy Kream launches Pac-Man donuts and new pins are not sourced from China. 20:11 The show has sidelined Abby, sparking calls for a spin-off, while critiques of recent entertainment highlight a decline in quality and audience engagement, particularly with adaptations and Disney's marketing strategies. 28:14 Overwatch faces competition from Marvel Rivals, while excitement grows for Expedition 33, as Clownfish TV navigates industry challenges and aims to share moderate perspectives amidst polarization. 37:43 Starting a YouTube channel is about authenticity, while the gaming industry shifts towards PC and retro gaming amid rising costs and dissatisfaction with Nintendo's practices. 44:05 Video game prices are rising due to tariffs and development costs, while ongoing YouTuber drama highlights harassment in the gaming community. 50:22 Criticism of gaming platforms highlights the need for clear stances against bigotry, as inconsistent enforcement and political bias alienate audiences and impact industry success. 58:44 Game developers express concerns over negative reviews threatening their studios, while Warner Brothers faces a significant revenue drop amid restructuring. Watch this podcast episode on YouTube and all major podcast hosts including Spotify. CLOWNFISH TV is an independent, opinionated news and commentary podcast that covers Entertainment and Tech from a consumer's point of view. We talk about Gaming, Comics, Anime, TV, Movies, Animation and more. Hosted by Kneon and Geeky Sparkles. D/REZZED News covers Pixels, Pop Culture, and the Paranormal! We're an independent, opinionated entertainment news blog covering Video Games, Tech, Comics, Movies, Anime, High Strangeness, and more. As part of Clownfish TV, we strive to be balanced, based, and apolitical. Get more news, views and reviews on Clownfish TV News - https://news.clownfishtv.com/ On YouTube - https://www.youtube.com/c/ClownfishTV On Spotify - https://open.spotify.com/show/4Tu83D1NcCmh7K1zHIedvg On Apple Podcasts - https://podcasts.apple.com/us/podcast/clownfish-tv-audio-edition/id1726838629

The Normies—the wealthy, connected conservatives who always knew better—saw exactly what Trump was and supported him anyway. Obsessed with tax cuts and terrified of Kamala Harris, they cloaked their fears in talk of markets and freedom while enabling chaos, cruelty, and economic sabotage. Their silence wasn't ignorance—it was complicity. While Trump's base waved flags and spread conspiracies, the Normies offered respectability to a movement they knew was dangerous. Now, with recession looming, civil norms unraveling, and the moral cost mounting, the truth is unavoidable: they made this happen. They gambled with democracy to protect their comfort, and the bill is coming due. Learn more about your ad choices. Visit megaphone.fm/adchoices

Sarah Vermunt is a longtime pal, career coach and the founder of Careergasm. She's written books about careers and columns for Forbes, Inc., Entrepreneur, Fortune, and Fast Company. She's had a regular coaching spot on the tele in Canada.Three years ago, out of the blue, Sarah started having psychic clairvoyant visions. She did not see this coming. Since then, life-long City-dweller Sarah has moved to a small town with a vibrant community of witches (it sounds a lot like Stars Hollow). She is now helping other newly awakened intuitives through her side quest venture: ‘Psychic Normies'.Sarah and I chat about:* The rise of clairvoyance and energy work over the last few years.* The importance of discernment in the intuitive community.* The need for energy alignment (especially with mentors).* How to navigate chaotic times, with Sarah sharing her vision about what 2025 holds for us all.Resources for you:* Psychic Normies* Book a personal energy reading with Sarah* Sarah's career coaching work: Careergasm* Sarah on The Gram Get full access to Courage & Spice at saspetherick.substack.com/subscribe

Thunderbolts: Episode 343 - Break out the Wheaties because there's a new group of Superheroes protecting New York and they definitely didn't steal another team's name - It's Thunderbolts on Normies Like Us!! All your favorites are here; Ghost from Ant-Man, USAgent from Falcon and the Winter Soldier, and, ofcourse, Julia Louis Dreyfus returns as Contessa Valentina Allegra de Fontaine to save the day from the empty feeling consuming us all. Insta: @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

Why is the world the way that it is? Is it just a result of the Fall? Or is there more than just that? Yes, there is. A spiritual war that has been raging since the dawn of time.Show Notes00:00:00 - 00:00:47* Introduction to Supernatural Beings* The episode opens with a discussion on the origins of deities, suggesting that they were real beings assigned to watch over nations but failed by directing worship to themselves instead of Yahweh.* Key Quote: "They were ones that were actually supposed to watch over these nations. And point them to Yahweh. But they failed and they started pointing the nations to themselves."00:00:47 - 00:02:09* Podcast Introduction and Banter* The hosts introduce themselves as the "two kings of the Rube Empire," describing themselves as "right-wing extremists," "supernaturalists," and "Christian bigots" in a tongue-in-cheek manner.* They welcome listeners to the Kingsplaining Podcast, emphasizing its status as the "best podcast in the world."* The hosts express excitement for the month of May and discuss the upcoming summer, with the Iron King noting his kids will soon be home from school.* Key Quote: "Kingsplaining.com, the absolute best podcast in the entire world."00:02:09 - 00:04:12* Homeschooling and Family Dynamics* The Iron King shares his experience with homeschooling, describing it as a consistent and rewarding lifestyle.* The hosts discuss the emotional rollercoaster of wanting kids to go back to school but also enjoying their presence at home.* They touch on gender dynamics, humorously noting that women are agents of change while men seek stability.* Key Quote: "Women are agents of change. Men change once during puberty and then it's just stability."00:04:12 - 00:09:43* The 100 Men vs. One Gorilla Debate* The hosts dive into a viral cultural topic: whether 100 men could defeat a single gorilla in a fight.* They argue that while a gorilla would dominate in a 1v1 scenario, 100 men, especially if organized and including physically elite individuals, would likely win due to sheer numbers and intelligence.* They reference memes and pop culture (e.g., Mel Gibson converting the gorilla, Harambe) to highlight the humorous zeitgeist surrounding the debate.* Key Quote: "100 dudes coming at one gorilla, Hundo's going to win that fight."00:09:43 - 00:12:09* Political Commentary: Absence of "Orange Man Bad"* The hosts note a shift in political discourse, observing that the intense anti-Trump rhetoric ("Orange Man Bad") has been overshadowed by lighter cultural debates like the gorilla question.* They critique the unfulfilled predictions of societal collapse under Trump's administration, now 100 days in.* They discuss Democratic complaints about Trump not lowering prices as promised, pointing out the hypocrisy given the price hikes during the Biden administration.* Key Quote: "We were promised a complete and total collapse of society. And we're 100 days into the Trump administration."00:12:09 - 00:21:41* Trump's First 100 Days: Favorite Policies* Philosopher King's Favorite: Trade War and Tariffs* The Philosopher King praises Trump's tariff policies, arguing they counteract the hollowing out of American manufacturing and support the middle class.* He acknowledges libertarian critiques (tariffs as taxes) but supports them as tactical tools to balance trade inequities with countries like China.* Key Quote: "These are weaponized tariffs. These are tactical tariffs. And I like that."* Iron King's Perspective on Tariffs* The Iron King agrees, likening tariffs to a scale that reveals economic truths, encouraging consumers to buy American-made goods.* He references the Trump-Bezos feud over Amazon showing tariff costs on receipts, viewing it as a political stunt but ultimately beneficial for transparency.* Key Quote: "I actually want you to see how much the tariff is going to cost you. Because then it's going to force you to say, maybe I should buy in America."* Additional Policy Discussion* The hosts mention proposed tax relief measures (e.g., no tax on tips, overtime, or incentives for buying American cars) and subsidies for relocating factories to the U.S.* They express skepticism about long-term subsidies but support temporary measures to boost domestic production.* Key Quote: "The more that we produce here, the easier it will be to do that."00:21:41 - 00:29:32* Trump's First 100 Days: Disappointments* Iron King's Disappointment: Border Security and Deportations* The Iron King praises the reduction in border crossings but is disappointed by the lower deportation numbers compared to Biden's first 100 days.* He criticizes judicial pushback against deportations and questions the authority of the judicial branch, advocating for stronger action.* Key Quote: "What army does the judicial branch have? What authority does the judicial branch have?"* Philosopher King's Disappointment: Anti-Semitism Crackdowns* The Philosopher King sarcastically critiques the focus on arresting people for anti-Semitism, viewing it as a pretext for censorship.* He connects this to broader issues of selective outrage and power structures.* Key Quote: "I'm not interested in this fight against anti-Semitism. Not in the way that they're doing it because it's really just censorship."* Shared Disappointment: Epstein Files* Both hosts express frustration over the lack of arrests related to the Epstein files, questioning the administration's commitment to justice.* They highlight the suspicious death of Virginia Giuffre and the lack of accountability for Ghislaine Maxwell's clients.* Key Quote: "I cannot trust your ability to dole out justice if you refuse to do something about it."* Positive Note: Resistance to War* The hosts commend Trump for resisting calls for war with Iran and Ukraine, despite pressure from neocons and foreign leaders.* Key Quote: "I like that there's pushback against going to war with Iran for no reason."00:29:32 - 01:36:36 (Truncated Section Summarized)* Supernatural and Biblical Discussion* The hosts shift to a deep exploration of biblical prophecy, focusing on Revelation 6 and 9, which describe apocalyptic events, demonic entities, and the wrath of God.* They discuss the concept of a "breakaway civilization," where elites prepare for catastrophic events by building underground bunkers, possibly in anticipation of divine judgment.* They reference Revelation 6, where the powerful hide in caves, calling for mountains to fall on them to escape God's wrath, and connect it to modern elite behavior (e.g., the Obamas' oceanfront property despite climate change warnings).* The hosts speculate on the spiritual nature of these events, suggesting that fallen angels or demonic entities (the "old gods") influence global affairs.* Key Quote: "The elites serve a different master. And it's the same masters that have been here for millennia."* Revelation 9 and Apocalyptic Imagery* They discuss Revelation 9's description of a pit opening, releasing scorpion-like entities, and draw parallels to Noah's time (150 days).* They emphasize the Bible's supernatural elements as a lens for understanding current events.* Key Quote: "We're just reading Revelation because the Bible is always true."01:36:36 - 01:44:59* Connecting to the Normies and Spiritual Warfare* The hosts urge listeners to pay attention to elite actions, not just words, citing examples like the Obamas' contradictory behavior.* They frame the world as a spiritual battlefield, with Christians as infiltrators advancing God's kingdom against demonic forces.* They argue that Jesus' authority, granted at Calvary, empowers believers to preach the gospel and resist evil.* The hosts critique modern paganism and Islam as tools of Satan, describing Islam as a force of submission that threatens Western Christendom.* Key Quote: "We are literally an infiltration. We're people of the way. What you're describing is a war, a spiritual war."* Biblical Truth as a Defense* The Iron King emphasizes that their understanding comes from scripture, not personal intelligence, which protects them from cultural deceptions (e.g., COVID, George Floyd).* They highlight a global revival, with people turning to Jesus amid increasing evil.* Key Quote: "When you cling to truth, all the lies fade. When you cling to truth, you win the victory because this is a spiritual war."01:44:59 - 01:53:58* Supernatural Elements in Scripture* The hosts list bizarre biblical phenomena to underscore the reality of the supernatural: lion men, goblins, talking donkeys, time travel (e.g., Moses and Elijah at the Transfiguration), and miracles like Jesus walking on water or Elijah calling fire from heaven.* They argue that these events challenge naturalistic worldviews and suggest that myths (e.g., vampires, werewolves, dragons) have biblical origins in corrupted flesh or demonic activity.* Key Quote: "All of the weird stuff that you are told that is not real has an origin story somewhere."* Examples of Biblical Supernatural Events* Moses' glowing face, Jesus' transfiguration, Elijah's chariot of fire, Samson's feats, and Ezekiel's vision of dry bones.* The hosts assert that God's power continues today, despite skepticism from some theologians.* Key Quote: "Our God is in complete control, and he's doing supernatural things through spiritual power."01:53:58 - 02:01:14* Final Thoughts: Sin, Not Skin* Philosopher King's Final Thoughts* He emphasizes that despite the influence of the kingdom of darkness, Jesus holds all authority, and the kingdom of God is advancing.* He encourages listeners not to fear the "breakaway civilization," as it will face divine judgment.* Key Quote: "Don't fear the breakaway civilization. It will face judgment and it will not go well for them."* Iron King's Final Thoughts: Addressing Racial Narratives* The Iron King critiques the overemphasis on racial crime statistics (e.g., 53% of violent crimes by 13% of the population) and compares it to abortion, which kills over a million babies annually.* He highlights that 64% of abortion doctors are white and 74% are male, contrasting this with the lower percentage of black abortion doctors (6%).* He argues that evil is a sin problem, not a racial one, and calls for repentance across all demographics.* Key Quote: "The issue with evil is it's a sin problem, not a skin problem."* Statistics Breakdown* Violent crime deaths: ~46,000/year (half suicides), ~10,000 attributed to African Americans.* Abortion deaths: ~1,000,000/year, with 640,000 facilitated by white doctors.* Key Quote: "White dudes kill way more babies than black dudes from the hood in violent crimes."02:01:14 - 02:03:52* Verse of the Day and Prayer* Verse: Ephesians 3:20-21* "Now to him who is able to do above and beyond all that we ask or think according to the power that works in us, to him be the glory in the church and in Christ Jesus to all generations forever and ever. Amen."* Prayer* The Philosopher King prays for God to thwart Satan's plans, expand His kingdom, and glorify Himself.* He asks for believers to build on God's foundation with generosity, truth, and love, anticipating Christ's return.* Key Quote: "I pray that you would thwart the designs of the evil one and his agents, the old gods."02:03:52 - 02:04:19* Closing Remarks* The hosts wrap up, encouraging listeners to like, share, and subscribe to spread the podcast's message.* They reaffirm their service to Jesus, the King of Kings, and humorously reference Michelle Obama's recent gaffe.* Key Quote: "Your two kings serve the King of Kings, Christ Jesus."Key Themes* Supernatural Worldview: The hosts interpret global events through a biblical lens, emphasizing spiritual warfare and the reality of demonic influences.* Political Analysis: They critique both the successes (tariffs, border security) and failures (Epstein files, deportation pushback) of Trump's first 100 days.* Cultural Commentary: From the gorilla debate to racial crime statistics, they challenge mainstream narratives with humor and data.* Spiritual Call to Action: They urge listeners to cling to biblical truth, resist evil, and advance God's kingdom.Notable Quotes* "The Bible is always true."* "We are literally an infiltration. We're people of the way."* "The issue with evil is it's a sin problem, not a skin problem."* "Don't fear the breakaway civilization. It will face judgment."Action Items* Visit Kingsplaining.com for more content.* Share the podcast to spread its message.* Reflect on Ephesians 3:20-21 and pray for God's kingdom to advance.Next Episode: Tune in next week for more discussions from the Rube Empire! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit kingsplaining.substack.com/subscribe

Spend any time at all watching or reading the news, and you may notice an odd trend in the Democrat party-- they seem to be embracing policies more and more that totally alienate the "normies," people who hold generally average views on social and political issues. Democrats increasingly favor extreme positions, like defending gang members and embracing ideologies that would have been universally rejected just a few years ago. Where it may end is anyone's guess, we try to parse it out here.We also cover anti-gun activist David Hogg's potential expulsion from the DNC, how Trump Derangement Syndrome apparently was the deciding factor for many baby boomers in Canada,  and a look back on Trump's first hundred days as President, part deux. The Heartland Institute's Linnea Lueken, Jim Lakely, Chris Talgo, and S.T. Karnick will discuss all of this and more on Episode #492 of the In the Tank Podcast. In The Tank broadcasts LIVE every Thursday at 12pm CT on on The Heartland Institute YouTube channel. Tune in to have your comments addressed live by the In The Tank Crew. Be sure to subscribe and never miss an episode. See you there!Climate Change Roundtable is LIVE every Friday at 12pm CT on The Heartland Institute YouTube channel. Have a topic you want addressed? Join the live show and leave a comment for our panelists and we'll cover it during the live show!

Lupin the Third The Castle of Cagliostro Episode 342 - Everytime this podcast commits a crime it always leaves a note reading “prepare to have your time stolen!” Our new long form coverage begins as we trade in a film series for a film director and cover the works of Hayao Miyazaki. This week your hosts discuss his first film, Lupin the Third: The Castle of Cagliostro, the second film entry of a beloved 60's japanese manga icon - Lupin III, only on Normies Like Us! Gentleman Podcasters Insta: @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

Spencer Sunshine https://www.patreon.com/c/spencersunshine/home?redirect=true, https://spencersunshine.com/, author of Neo-Nazi Terrorism and Countercultural Fascism, joins Luxa https://linktr.ee/LuxaStrata to talk about Satanism and the Far-right. Topics discussed include accelerationism, the history of nazis in Satanist circles and other fringe areas of culture, and about how the situation has evolved over the years into our modern era. Spencer will explain the ways that fringe ideas cross pollinate, and share some thoughts about what the aspiring Satanist might want to know, going in.Thanks for listening to the Lux Occult Podcast! Support the show by helping Luxa buy books and curtail other costs, as well as taking a bibliomancy break by giving on Patreon: https://www.patreon.com/luxoccult . Or, Buy Me a Coffee.com is an option for a one time donation: https://www.buymeacoffee.com/luxoccultpod?new=1 We would love to hear from you! Please send your thoughts, questions, suggestions or arcane revelations to luxoccultpod@gmail.com or message on Instagram @luxoccultpod https://www.instagram.com/luxoccultpod/ BlueSky https://bsky.app/profile/luxastrata919.bsky.socialNeo-Nazi Terrorism and Countercultural Fascism The Origins and Afterlife of James Mason's Siege by Spencer Sunshine https://www.routledge.com/Neo-Nazi-Terrorism-and-Countercultural-Fascism-The-Origins-and-Afterlife-of-James-Masons-Siege/Sunshine/p/book/978036719060640 Ways to Fight Fascists https://spencersunshine.com/2020/08/27/fortyways/A Guide to Guides: Over 30 Activist Guides You Might Find Helpful When Opposing the Far Right https://spencersunshine.com/2025/01/27/guides/VICE doc: I'm the Victim of a Far Right Conspiracy Theory | Super Users https://www.youtube.com/watch?v=cARtkJQj34EA Culture of Conspiracy by Michael Barkun https://www.ucpress.edu/books/a-culture-of-conspiracy/paperCONSPIRACY | contrapoints https://youtu.be/teqkK0RLNkI?si=l7h_SmW6Gb2CykyTThe Alt-Right Playbook: How to Radicalize a Normie https://youtu.be/P55t6eryY3g?si=EFbVcsxoB-7A_EaACultic Milieu. The SAGE Encyclopedia of the Sociology of Religion. https://sk.sagepub.com/ency/edvol/the-sage-encyclopedia-of-sociology-of-religion/chpt/cultic-milieuCultic milieus and the extreme right. Open Democracy.net https://www.opendemocracy.net/en/cultic-milieus-and-extreme-right/Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb https://en.wikipedia.org/wiki/Dr._StrangeloveLux Occult SHORTS: Luxa Strata on Chaos Magic and Accelerationism https://youtu.be/Oi6GXtIGzMEVoid House Presents: Trauma Informed Practices or “Just the TIPs” https://youtu.be/gCrTpfsAAHcLux Occult 27. Conspiracy Thought and the "Occult Conspiracy" with Dr. Rob C. Thompson https://anchor.fm/luxa-strata/episodes/27--Conspiracy-Thought-and-the-Occult-Conspiracy-with-Dr--Rob-C--Thompson-e141qebLux Occult 48. The 5 Pillars of Consent w/ Zach Budd & Odin and Inclusive Heathenry w/ Lonnie Scott https://podcasters.spotify.com/pod/show/luxa-strata/episodes/48--The-5-Pillars-of-Consent-w-Zach-Budd--Odin-and-Inclusive-Heathenry-w-Lonnie-Scott-e1m0qbrLux Occult 88. Autonomy, Egregores, Magic & More w/ The Consent Academy https://podcasters.spotify.com/pod/show/luxa-strata/episodes/88--Autonomy--Egregores--Magic--More-w-The-Consent-Academy-e2o0rp8Lux Occult 94.5. Secrets of the Real Black Lodge Revealed w Allen Greenfield & Rendlesham's 44th https://youtu.be/lpKzAXtGdqEWeird Web Radio Episode 101- Luxa Strata- Consent, Chaos Magic, Experiments and The Self https://open.spotify.com/episode/4t431wA9D1uNnM2SAUa2ci?si=rDyF_nAUR3qOYJ5LWhcB5AFind Luxa's work published in Serpents of Circe: A Manual to Magical Resilience edited by Laura Tempest Zakroff and Ron Padrón https://revelore.press/product/serpents-of-circe-a-manual-to-magical-resilience/

In this off-the-rails and highly entertaining episode of OnlyLands, a rotating cast of Badlands Media personalities takes over the airwaves with their signature blend of sarcasm, substance, and chaos. What starts as Jon's lonely intro quickly becomes a full house, as the crew riffs on everything from sports conspiracies to baby talk milestones. The gang shares personal stories, trash-talks the NBA and MLB over their woke pandering, and debates the mechanics of rigged officiating across professional sports. They spiral hilariously through midget jokes, Norm Macdonald 9/11 bits, and Normie red pills, before diving into darker, more consequential topics. That's when the show shifts gears: the death of Pope Francis, Klaus Schwab's resignation, and escalating global finance drama are framed as signs of elite power unraveling. The crew breaks down Trump's quiet war on the Federal Reserve, the potential gutting of the State Department, and why controlling the money, via Bitcoin, tariffs, or a strategic Fed takedown, is the real battlefield. Packed with trolling, truth bombs, and absurdity, Ep. 4 is what happens when patriots gather after dark with no filter, no script, and no plan...just raw perspective and good bourbon.

Sinners: Episode 341 - Listen up, Preacher Boy, because we're heading back in time to talk history, culture, and mysticism as we discuss the all-new original movie SINNER'S! We're asking for our listener's permission to enter their earways as we discuss the killer Vampire Musical that's piercing the veil of creativity. Insta: @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

“The AI revolution is here. Can we build a Good Robot?” asks Vox's newest miniseries, Good Robot. Join host Julia Longoria in conversation with Sherrell to discuss the ideological divide within the AI community. Sherrell and Julia talk about how Julia leverages her background as a Supreme Court reporter to condense complex topics into accessible and exciting explainers, AI's encroachment on the media industry by “pilfering” works of authors and journalists, and why algorithms could be implemented to ensure ethical consumption – and higher quality information. Hosted on Acast. See acast.com/privacy for more information.

Join me as we explore normie behavior in the Christian Truther community.Please jump in and support the outreachCheck out www.alteredbible.comIt's time to change the rules!MAIL CHECKS TO John Kirwin PO Box 78362 Charlotte NC 28271CREDIT CARD https://donorbox.org/wakeuporelsePAYPAL https://www.paypal.com/paypalme/kirwi...CASHAPP https://cash.app/$wakeuporelse$wakeuporelseVENMO https://bit.ly/4hvPBXK@wakeuporelseZELLE wakeuporelse@proton.meCRYPTO CURRENCIES https://www.wakeuporelse.com/donateGet both of my books FREE www.wakeuporelse.com / www.alteredbible.com1) "The Conspiracy Theorist Survival Guide"2) The Mandela effect Supernatural Bible Changes And The Doctrine Of The Preservation Of ScripturePurchase on AmazonMy 1st book: The Conspiracy Theorist Survival Guide: A Guidebook For Persecuted Truthers https://www.amazon.com/dp/B0C91X6K55Available on Audible & Itunes My 2nd book: The Mandela Effect Supernatural Bible Changes and the doctrine of the preservation of scripture https://www.amazon.com/dp/B0DH51XBJ2Wakeupuporelse.comwww.rumble.com/c/wakeuporelsewww.twitter.com/wakeuporelse1www.facebook.com/wakeuporelse1Wakeuporelse is listener supported.Be a $10.00/month partner https://donorbox.org/wakeuporelseStay connected in case we get bannedSign up for newsletterhttps://bit.ly/wakeuporelse"The Conspiracy Theorist Survival Guide Podcast"Applehttps://bit.ly/49hXT1sSpotifyhttps://bit.ly/3vZSLAXAmazon Music (Podcast )https://bit.ly/3SEFne9iHearthttps://bit.ly/47ZgI8ASticherhttps://bit.ly/3SGrb4HPandorahttps://bit.ly/3UhIJFnDeezerhttps://bit.ly/4bxj55RRadio Publichttps://bit.ly/3HEiCAKContact John wakeuporelse@proton.meSupport this podcast at — https://redcircle.com/the-conspiracy-theorist-survival-guide-podcast/donations

Whatcha 340: Episode 340 - Another 10 episodes down, another round of What have your Hosts been enjoying with a special Whatcha episode! Your hosts almost have a years worth of content for you, so get ready to celebrate another milestone episode by hearing about some Normie Pop Culture on a chill, relaxed episode of Normies Like Us. Thank you so much for listening, Normies! Insta: @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

Have you ever gotten lost? I mean really lost where you were worried that you'd ever get back to something familiar? That you'd run out of gas and perish in the wilderness? In 2022, that happened in Death Valley National Park. A 67 year old man ran out of gas and started hiking to what he thought was a way out. He perished 2 1/2 miles from the car. He left a note in the car stating: "Ran out of gas."We mourn for the tragic results, but in a way, we should take heed: we all head towards a "death valley" and the most important thing we do is to "call ahead", in a sense, for rescue. For there is only one "Life Flight" available in the valley of death- Jesus: the Way, Truth, and Life.Listen in on this conversation between Nate and Sean on this week's Church for Normies podcast. ▶️ Nate's Message on YouTube: ⁠https://www.youtube.com/@roswellgrace8562/videos⁠

A Minecraft Movie - Ep 339: Grab your pick axe, pet your oddly shaped dog, and get ready to head to the nether because we're talking A Minecraft Movie! The newly released smash hit film is already flooding the world with memes, but does that make it a good movie? Tune in to find out as your hosts debate this and more on Normies Like Us! Don't be a Creeper - subscribe below! @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

Any donation is greatly appreciated! 47e6GvjL4in5Zy5vVHMb9PQtGXQAcFvWSCQn2fuwDYZoZRk3oFjefr51WBNDGG9EjF1YDavg7pwGDFSAVWC5K42CBcLLv5U OR DONATE HERE: https://www.monerotalk.live/donate TODAY'S SHOW: In this episode Douglas Tuman has a discussion with 3D gun designer Joseph the Parrot about the intersection of 3D printed guns and cryptocurrency privacy. Joseph explained the origin of his persona and his entry into 3D gun printing through JStark's AR-15 CAD model and the FGC-9 (Fuck Gun Control) project. He described how the FGC-9 was designed to be manufactured with basic tools, outsourcing complex shapes to 3D printers while keeping metal parts simple. The discussion explores the philosophical parallels between Monero and 3D printed guns in fighting state monopolies. He highlighted his gun design improvements over the FGC-9, creating the first fully printable gun using no regulated parts worldwide. They also cover Joseph's upcoming presentation at MoneroKon and the importance of bridging the crypto and gun rights communities. TIMESTAMPS: (00:01:33) Introduction to Ze Carioca (Joseph the Parrot) (00:04:59) Explanation of FGC-9 and Fully Digital Self Guns (00:08:55) Philosophical Justification for 3D Printed Guns (00:10:59) Comparison Between Monero and 3D Printed Guns (00:14:14) Discussion on New Second Amendment and Triple Constraint (00:16:42) Addressing Concerns About Bad People Accessing Guns (00:21:01) Technical Improvements Made by Ze Carioca (00:30:52) The Role of Encryption in Freedom (00:39:16) First and Second Amendment Philosophies Worldwide (00:42:00) Bridging Crypto and Gun Communities at MoneroKon (00:47:50) Different Political Groups within Monero Community (00:50:20) Expanding the Bubble and Talking to Normies (00:54:50) Ze Carioca's Journey into Crypto and Monero (01:06:23) Closing Remarks and Contact Information LINKS: https://x.com/josephtheparrot Purchase Cafe & tip the farmers w/ XMR! https://gratuitas.org/ Purchase a plug & play Monero node at https://moneronodo.com SPONSORS: Cakewallet.com, the first open-source Monero wallet for iOS. You can even exchange between XMR, BTC, LTC & more in the app! Monero.com by Cake Wallet - ONLY Monero wallet (https://monero.com/) StealthEX, an instant exchange. Go to (https://stealthex.io) to instantly exchange between Monero and 450 plus assets, w/o having to create an account or register & with no limits. WEBSITE: https://www.monerotopia.com CONTACT: monerotalk@protonmail.com ODYSEE: https://odysee.com/@MoneroTalk:8 TWITTER: https://twitter.com/monerotalk FACEBOOK: https://www.facebook.com/MoneroTalk HOST: https://twitter.com/douglastuman INSTAGRAM: https://www.instagram.com/monerotalk TELEGRAM: https://t.me/monerotopia MATRIX: https://matrix.to/#/%23monerotopia%3Amonero.social MASTODON: @Monerotalk@mastodon.social MONERO.TOWN: https://monero.town/u/monerotalk

Peter Jackson's King Kong - Ep 338: Monsters belong in B-Movies, but what about an A-Movie? Your hosts head to Skull Island and dig into the interesting follow up to Peter Jackson's academy award winning trilogy, it's 2005's King Kong on Normies Like Us! So what are you Normies; a lion, or a subscriber? @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

Being the CEO of Maximum Fun is not as glamorous as you might expect. In fact, it involves a lot of running reports. That's what we found out from Bikram Chatterji in our latest and final installment of our Naps with Normies series. Tune in and drift off for a quick snooze while the big boss of the whole shebang reveals how shockingly normal his work really is.It's the Max Fun Drive! Go to www.maximumfun.org/join and select Sleeping with Celebrities to support our show.Hey Sleepy Heads, is there anyone whose voice you'd like to drift off to, or do you have suggestions on things we could do to aid your slumber? Email us at: sleepwithcelebs@maximumfun.org.Follow the Show on:Instagram @sleepwcelebsBluesky @sleepwithcelebsTikTok @SleepWithCelebsJohn is on Bluesky @JohnMoeJohn's acclaimed, best-selling memoir, The Hilarious World of Depression, is now available in paperback. MaxFunDrive ends on March 28, 2025! Support our show now and get access to bonus content by becoming a member at maximumfun.org/join.

If you're in SF: Join us for the Claude Plays Pokemon hackathon this Sunday!If you're not: Fill out the 2025 State of AI Eng survey for $250 in Amazon cards!We are SO excited to share our conversation with Dharmesh Shah, co-founder of HubSpot and creator of Agent.ai.A particularly compelling concept we discussed is the idea of "hybrid teams" - the next evolution in workplace organization where human workers collaborate with AI agents as team members. Just as we previously saw hybrid teams emerge in terms of full-time vs. contract workers, or in-office vs. remote workers, Dharmesh predicts that the next frontier will be teams composed of both human and AI members. This raises interesting questions about team dynamics, trust, and how to effectively delegate tasks between human and AI team members.The discussion of business models in AI reveals an important distinction between Work as a Service (WaaS) and Results as a Service (RaaS), something Dharmesh has written extensively about. While RaaS has gained popularity, particularly in customer support applications where outcomes are easily measurable, Dharmesh argues that this model may be over-indexed. Not all AI applications have clearly definable outcomes or consistent economic value per transaction, making WaaS more appropriate in many cases. This insight is particularly relevant for businesses considering how to monetize AI capabilities.The technical challenges of implementing effective agent systems are also explored, particularly around memory and authentication. Shah emphasizes the importance of cross-agent memory sharing and the need for more granular control over data access. He envisions a future where users can selectively share parts of their data with different agents, similar to how OAuth works but with much finer control. This points to significant opportunities in developing infrastructure for secure and efficient agent-to-agent communication and data sharing.Other highlights from our conversation* The Evolution of AI-Powered Agents – Exploring how AI agents have evolved from simple chatbots to sophisticated multi-agent systems, and the role of MCPs in enabling that.* Hybrid Digital Teams and the Future of Work – How AI agents are becoming teammates rather than just tools, and what this means for business operations and knowledge work.* Memory in AI Agents – The importance of persistent memory in AI systems and how shared memory across agents could enhance collaboration and efficiency.* Business Models for AI Agents – Exploring the shift from software as a service (SaaS) to work as a service (WaaS) and results as a service (RaaS), and what this means for monetization.* The Role of Standards Like MCP – Why MCP has been widely adopted and how it enables agent collaboration, tool use, and discovery.* The Future of AI Code Generation and Software Engineering – How AI-assisted coding is changing the role of software engineers and what skills will matter most in the future.* Domain Investing and Efficient Markets – Dharmesh's approach to domain investing and how inefficiencies in digital asset markets create business opportunities.* The Philosophy of Saying No – Lessons from "Sorry, You Must Pass" and how prioritization leads to greater productivity and focus.Timestamps* 00:00 Introduction and Guest Welcome* 02:29 Dharmesh Shah's Journey into AI* 05:22 Defining AI Agents* 06:45 The Evolution and Future of AI Agents* 13:53 Graph Theory and Knowledge Representation* 20:02 Engineering Practices and Overengineering* 25:57 The Role of Junior Engineers in the AI Era* 28:20 Multi-Agent Systems and MCP Standards* 35:55 LinkedIn's Legal Battles and Data Scraping* 37:32 The Future of AI and Hybrid Teams* 39:19 Building Agent AI: A Professional Network for Agents* 40:43 Challenges and Innovations in Agent AI* 45:02 The Evolution of UI in AI Systems* 01:00:25 Business Models: Work as a Service vs. Results as a Service* 01:09:17 The Future Value of Engineers* 01:09:51 Exploring the Role of Agents* 01:10:28 The Importance of Memory in AI* 01:11:02 Challenges and Opportunities in AI Memory* 01:12:41 Selective Memory and Privacy Concerns* 01:13:27 The Evolution of AI Tools and Platforms* 01:18:23 Domain Names and AI Projects* 01:32:08 Balancing Work and Personal Life* 01:35:52 Final Thoughts and ReflectionsTranscriptAlessio [00:00:04]: Hey everyone, welcome back to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Small AI.swyx [00:00:12]: Hello, and today we're super excited to have Dharmesh Shah to join us. I guess your relevant title here is founder of Agent AI.Dharmesh [00:00:20]: Yeah, that's true for this. Yeah, creator of Agent.ai and co-founder of HubSpot.swyx [00:00:25]: Co-founder of HubSpot, which I followed for many years, I think 18 years now, gonna be 19 soon. And you caught, you know, people can catch up on your HubSpot story elsewhere. I should also thank Sean Puri, who I've chatted with back and forth, who's been, I guess, getting me in touch with your people. But also, I think like, just giving us a lot of context, because obviously, My First Million joined you guys, and they've been chatting with you guys a lot. So for the business side, we can talk about that, but I kind of wanted to engage your CTO, agent, engineer side of things. So how did you get agent religion?Dharmesh [00:01:00]: Let's see. So I've been working, I'll take like a half step back, a decade or so ago, even though actually more than that. So even before HubSpot, the company I was contemplating that I had named for was called Ingenisoft. And the idea behind Ingenisoft was a natural language interface to business software. Now realize this is 20 years ago, so that was a hard thing to do. But the actual use case that I had in mind was, you know, we had data sitting in business systems like a CRM or something like that. And my kind of what I thought clever at the time. Oh, what if we used email as the kind of interface to get to business software? And the motivation for using email is that it automatically works when you're offline. So imagine I'm getting on a plane or I'm on a plane. There was no internet on planes back then. It's like, oh, I'm going through business cards from an event I went to. I can just type things into an email just to have them all in the backlog. When it reconnects, it sends those emails to a processor that basically kind of parses effectively the commands and updates the software, sends you the file, whatever it is. And there was a handful of commands. I was a little bit ahead of the times in terms of what was actually possible. And I reattempted this natural language thing with a product called ChatSpot that I did back 20...swyx [00:02:12]: Yeah, this is your first post-ChatGPT project.Dharmesh [00:02:14]: I saw it come out. Yeah. And so I've always been kind of fascinated by this natural language interface to software. Because, you know, as software developers, myself included, we've always said, oh, we build intuitive, easy-to-use applications. And it's not intuitive at all, right? Because what we're doing is... We're taking the mental model that's in our head of what we're trying to accomplish with said piece of software and translating that into a series of touches and swipes and clicks and things like that. And there's nothing natural or intuitive about it. And so natural language interfaces, for the first time, you know, whatever the thought is you have in your head and expressed in whatever language that you normally use to talk to yourself in your head, you can just sort of emit that and have software do something. And I thought that was kind of a breakthrough, which it has been. And it's gone. So that's where I first started getting into the journey. I started because now it actually works, right? So once we got ChatGPT and you can take, even with a few-shot example, convert something into structured, even back in the ChatGP 3.5 days, it did a decent job in a few-shot example, convert something to structured text if you knew what kinds of intents you were going to have. And so that happened. And that ultimately became a HubSpot project. But then agents intrigued me because I'm like, okay, well, that's the next step here. So chat's great. Love Chat UX. But if we want to do something even more meaningful, it felt like the next kind of advancement is not this kind of, I'm chatting with some software in a kind of a synchronous back and forth model, is that software is going to do things for me in kind of a multi-step way to try and accomplish some goals. So, yeah, that's when I first got started. It's like, okay, what would that look like? Yeah. And I've been obsessed ever since, by the way.Alessio [00:03:55]: Which goes back to your first experience with it, which is like you're offline. Yeah. And you want to do a task. You don't need to do it right now. You just want to queue it up for somebody to do it for you. Yes. As you think about agents, like, let's start at the easy question, which is like, how do you define an agent? Maybe. You mean the hardest question in the universe? Is that what you mean?Dharmesh [00:04:12]: You said you have an irritating take. I do have an irritating take. I think, well, some number of people have been irritated, including within my own team. So I have a very broad definition for agents, which is it's AI-powered software that accomplishes a goal. Period. That's it. And what irritates people about it is like, well, that's so broad as to be completely non-useful. And I understand that. I understand the criticism. But in my mind, if you kind of fast forward months, I guess, in AI years, the implementation of it, and we're already starting to see this, and we'll talk about this, different kinds of agents, right? So I think in addition to having a usable definition, and I like yours, by the way, and we should talk more about that, that you just came out with, the classification of agents actually is also useful, which is, is it autonomous or non-autonomous? Does it have a deterministic workflow? Does it have a non-deterministic workflow? Is it working synchronously? Is it working asynchronously? Then you have the different kind of interaction modes. Is it a chat agent, kind of like a customer support agent would be? You're having this kind of back and forth. Is it a workflow agent that just does a discrete number of steps? So there's all these different flavors of agents. So if I were to draw it in a Venn diagram, I would draw a big circle that says, this is agents, and then I have a bunch of circles, some overlapping, because they're not mutually exclusive. And so I think that's what's interesting, and we're seeing development along a bunch of different paths, right? So if you look at the first implementation of agent frameworks, you look at Baby AGI and AutoGBT, I think it was, not Autogen, that's the Microsoft one. They were way ahead of their time because they assumed this level of reasoning and execution and planning capability that just did not exist, right? So it was an interesting thought experiment, which is what it was. Even the guy that, I'm an investor in Yohei's fund that did Baby AGI. It wasn't ready, but it was a sign of what was to come. And so the question then is, when is it ready? And so lots of people talk about the state of the art when it comes to agents. I'm a pragmatist, so I think of the state of the practical. It's like, okay, well, what can I actually build that has commercial value or solves actually some discrete problem with some baseline of repeatability or verifiability?swyx [00:06:22]: There was a lot, and very, very interesting. I'm not irritated by it at all. Okay. As you know, I take a... There's a lot of anthropological view or linguistics view. And in linguistics, you don't want to be prescriptive. You want to be descriptive. Yeah. So you're a goals guy. That's the key word in your thing. And other people have other definitions that might involve like delegated trust or non-deterministic work, LLM in the loop, all that stuff. The other thing I was thinking about, just the comment on Baby AGI, LGBT. Yeah. In that piece that you just read, I was able to go through our backlog and just kind of track the winter of agents and then the summer now. Yeah. And it's... We can tell the whole story as an oral history, just following that thread. And it's really just like, I think, I tried to explain the why now, right? Like I had, there's better models, of course. There's better tool use with like, they're just more reliable. Yep. Better tools with MCP and all that stuff. And I'm sure you have opinions on that too. Business model shift, which you like a lot. I just heard you talk about RAS with MFM guys. Yep. Cost is dropping a lot. Yep. Inference is getting faster. There's more model diversity. Yep. Yep. I think it's a subtle point. It means that like, you have different models with different perspectives. You don't get stuck in the basin of performance of a single model. Sure. You can just get out of it by just switching models. Yep. Multi-agent research and RL fine tuning. So I just wanted to let you respond to like any of that.Dharmesh [00:07:44]: Yeah. A couple of things. Connecting the dots on the kind of the definition side of it. So we'll get the irritation out of the way completely. I have one more, even more irritating leap on the agent definition thing. So here's the way I think about it. By the way, the kind of word agent, I looked it up, like the English dictionary definition. The old school agent, yeah. Is when you have someone or something that does something on your behalf, like a travel agent or a real estate agent acts on your behalf. It's like proxy, which is a nice kind of general definition. So the other direction I'm sort of headed, and it's going to tie back to tool calling and MCP and things like that, is if you, and I'm not a biologist by any stretch of the imagination, but we have these single-celled organisms, right? Like the simplest possible form of what one would call life. But it's still life. It just happens to be single-celled. And then you can combine cells and then cells become specialized over time. And you have much more sophisticated organisms, you know, kind of further down the spectrum. In my mind, at the most fundamental level, you can almost think of having atomic agents. What is the simplest possible thing that's an agent that can still be called an agent? What is the equivalent of a kind of single-celled organism? And the reason I think that's useful is right now we're headed down the road, which I think is very exciting around tool use, right? That says, okay, the LLMs now can be provided a set of tools that it calls to accomplish whatever it needs to accomplish in the kind of furtherance of whatever goal it's trying to get done. And I'm not overly bothered by it, but if you think about it, if you just squint a little bit and say, well, what if everything was an agent? And what if tools were actually just atomic agents? Because then it's turtles all the way down, right? Then it's like, oh, well, all that's really happening with tool use is that we have a network of agents that know about each other through something like an MMCP and can kind of decompose a particular problem and say, oh, I'm going to delegate this to this set of agents. And why do we need to draw this distinction between tools, which are functions most of the time? And an actual agent. And so I'm going to write this irritating LinkedIn post, you know, proposing this. It's like, okay. And I'm not suggesting we should call even functions, you know, call them agents. But there is a certain amount of elegance that happens when you say, oh, we can just reduce it down to one primitive, which is an agent that you can combine in complicated ways to kind of raise the level of abstraction and accomplish higher order goals. Anyway, that's my answer. I'd say that's a success. Thank you for coming to my TED Talk on agent definitions.Alessio [00:09:54]: How do you define the minimum viable agent? Do you already have a definition for, like, where you draw the line between a cell and an atom? Yeah.Dharmesh [00:10:02]: So in my mind, it has to, at some level, use AI in order for it to—otherwise, it's just software. It's like, you know, we don't need another word for that. And so that's probably where I draw the line. So then the question, you know, the counterargument would be, well, if that's true, then lots of tools themselves are actually not agents because they're just doing a database call or a REST API call or whatever it is they're doing. And that does not necessarily qualify them, which is a fair counterargument. And I accept that. It's like a good argument. I still like to think about—because we'll talk about multi-agent systems, because I think—so we've accepted, which I think is true, lots of people have said it, and you've hopefully combined some of those clips of really smart people saying this is the year of agents, and I completely agree, it is the year of agents. But then shortly after that, it's going to be the year of multi-agent systems or multi-agent networks. I think that's where it's going to be headed next year. Yeah.swyx [00:10:54]: Opening eyes already on that. Yeah. My quick philosophical engagement with you on this. I often think about kind of the other spectrum, the other end of the cell spectrum. So single cell is life, multi-cell is life, and you clump a bunch of cells together in a more complex organism, they become organs, like an eye and a liver or whatever. And then obviously we consider ourselves one life form. There's not like a lot of lives within me. I'm just one life. And now, obviously, I don't think people don't really like to anthropomorphize agents and AI. Yeah. But we are extending our consciousness and our brain and our functionality out into machines. I just saw you were a Bee. Yeah. Which is, you know, it's nice. I have a limitless pendant in my pocket.Dharmesh [00:11:37]: I got one of these boys. Yeah.swyx [00:11:39]: I'm testing it all out. You know, got to be early adopters. But like, we want to extend our personal memory into these things so that we can be good at the things that we're good at. And, you know, machines are good at it. Machines are there. So like, my definition of life is kind of like going outside of my own body now. I don't know if you've ever had like reflections on that. Like how yours. How our self is like actually being distributed outside of you. Yeah.Dharmesh [00:12:01]: I don't fancy myself a philosopher. But you went there. So yeah, I did go there. I'm fascinated by kind of graphs and graph theory and networks and have been for a long, long time. And to me, we're sort of all nodes in this kind of larger thing. It just so happens that we're looking at individual kind of life forms as they exist right now. But so the idea is when you put a podcast out there, there's these little kind of nodes you're putting out there of like, you know, conceptual ideas. Once again, you have varying kind of forms of those little nodes that are up there and are connected in varying and sundry ways. And so I just think of myself as being a node in a massive, massive network. And I'm producing more nodes as I put content or ideas. And, you know, you spend some portion of your life collecting dots, experiences, people, and some portion of your life then connecting dots from the ones that you've collected over time. And I found that really interesting things happen and you really can't know in advance how those dots are necessarily going to connect in the future. And that's, yeah. So that's my philosophical take. That's the, yes, exactly. Coming back.Alessio [00:13:04]: Yep. Do you like graph as an agent? Abstraction? That's been one of the hot topics with LandGraph and Pydantic and all that.Dharmesh [00:13:11]: I do. The thing I'm more interested in terms of use of graphs, and there's lots of work happening on that now, is graph data stores as an alternative in terms of knowledge stores and knowledge graphs. Yeah. Because, you know, so I've been in software now 30 plus years, right? So it's not 10,000 hours. It's like 100,000 hours that I've spent doing this stuff. And so I've grew up with, so back in the day, you know, I started on mainframes. There was a product called IMS from IBM, which is basically an index database, what we'd call like a key value store today. Then we've had relational databases, right? We have tables and columns and foreign key relationships. We all know that. We have document databases like MongoDB, which is sort of a nested structure keyed by a specific index. We have vector stores, vector embedding database. And graphs are interesting for a couple of reasons. One is, so it's not classically structured in a relational way. When you say structured database, to most people, they're thinking tables and columns and in relational database and set theory and all that. Graphs still have structure, but it's not the tables and columns structure. And you could wonder, and people have made this case, that they are a better representation of knowledge for LLMs and for AI generally than other things. So that's kind of thing number one conceptually, and that might be true, I think is possibly true. And the other thing that I really like about that in the context of, you know, I've been in the context of data stores for RAG is, you know, RAG, you say, oh, I have a million documents, I'm going to build the vector embeddings, I'm going to come back with the top X based on the semantic match, and that's fine. All that's very, very useful. But the reality is something gets lost in the chunking process and the, okay, well, those tend, you know, like, you don't really get the whole picture, so to speak, and maybe not even the right set of dimensions on the kind of broader picture. And it makes intuitive sense to me that if we did capture it properly in a graph form, that maybe that feeding into a RAG pipeline will actually yield better results for some use cases, I don't know, but yeah.Alessio [00:15:03]: And do you feel like at the core of it, there's this difference between imperative and declarative programs? Because if you think about HubSpot, it's like, you know, people and graph kind of goes hand in hand, you know, but I think maybe the software before was more like primary foreign key based relationship, versus now the models can traverse through the graph more easily.Dharmesh [00:15:22]: Yes. So I like that representation. There's something. It's just conceptually elegant about graphs and just from the representation of it, they're much more discoverable, you can kind of see it, there's observability to it, versus kind of embeddings, which you can't really do much with as a human. You know, once they're in there, you can't pull stuff back out. But yeah, I like that kind of idea of it. And the other thing that's kind of, because I love graphs, I've been long obsessed with PageRank from back in the early days. And, you know, one of the kind of simplest algorithms in terms of coming up, you know, with a phone, everyone's been exposed to PageRank. And the idea is that, and so I had this other idea for a project, not a company, and I have hundreds of these, called NodeRank, is to be able to take the idea of PageRank and apply it to an arbitrary graph that says, okay, I'm going to define what authority looks like and say, okay, well, that's interesting to me, because then if you say, I'm going to take my knowledge store, and maybe this person that contributed some number of chunks to the graph data store has more authority on this particular use case or prompt that's being submitted than this other one that may, or maybe this one was more. popular, or maybe this one has, whatever it is, there should be a way for us to kind of rank nodes in a graph and sort them in some, some useful way. Yeah.swyx [00:16:34]: So I think that's generally useful for, for anything. I think the, the problem, like, so even though at my conferences, GraphRag is super popular and people are getting knowledge, graph religion, and I will say like, it's getting space, getting traction in two areas, conversation memory, and then also just rag in general, like the, the, the document data. Yeah. It's like a source. Most ML practitioners would say that knowledge graph is kind of like a dirty word. The graph database, people get graph religion, everything's a graph, and then they, they go really hard into it and then they get a, they get a graph that is too complex to navigate. Yes. And so like the, the, the simple way to put it is like you at running HubSpot, you know, the power of graphs, the way that Google has pitched them for many years, but I don't suspect that HubSpot itself uses a knowledge graph. No. Yeah.Dharmesh [00:17:26]: So when is it over engineering? Basically? It's a great question. I don't know. So the question now, like in AI land, right, is the, do we necessarily need to understand? So right now, LLMs for, for the most part are somewhat black boxes, right? We sort of understand how the, you know, the algorithm itself works, but we really don't know what's going on in there and, and how things come out. So if a graph data store is able to produce the outcomes we want, it's like, here's a set of queries I want to be able to submit and then it comes out with useful content. Maybe the underlying data store is as opaque as a vector embeddings or something like that, but maybe it's fine. Maybe we don't necessarily need to understand it to get utility out of it. And so maybe if it's messy, that's okay. Um, that's, it's just another form of lossy compression. Uh, it's just lossy in a way that we just don't completely understand in terms of, because it's going to grow organically. Uh, and it's not structured. It's like, ah, we're just gonna throw a bunch of stuff in there. Let the, the equivalent of the embedding algorithm, whatever they called in graph land. Um, so the one with the best results wins. I think so. Yeah.swyx [00:18:26]: Or is this the practical side of me is like, yeah, it's, if it's useful, we don't necessarilyDharmesh [00:18:30]: need to understand it.swyx [00:18:30]: I have, I mean, I'm happy to push back as long as you want. Uh, it's not practical to evaluate like the 10 different options out there because it takes time. It takes people, it takes, you know, resources, right? Set. That's the first thing. Second thing is your evals are typically on small things and some things only work at scale. Yup. Like graphs. Yup.Dharmesh [00:18:46]: Yup. That's, yeah, no, that's fair. And I think this is one of the challenges in terms of implementation of graph databases is that the most common approach that I've seen developers do, I've done it myself, is that, oh, I've got a Postgres database or a MySQL or whatever. I can represent a graph with a very set of tables with a parent child thing or whatever. And that sort of gives me the ability, uh, why would I need anything more than that? And the answer is, well, if you don't need anything more than that, you don't need anything more than that. But there's a high chance that you're sort of missing out on the actual value that, uh, the graph representation gives you. Which is the ability to traverse the graph, uh, efficiently in ways that kind of going through the, uh, traversal in a relational database form, even though structurally you have the data, practically you're not gonna be able to pull it out in, in useful ways. Uh, so you wouldn't like represent a social graph, uh, in, in using that kind of relational table model. It just wouldn't scale. It wouldn't work.swyx [00:19:36]: Uh, yeah. Uh, I think we want to move on to MCP. Yeah. But I just want to, like, just engineering advice. Yeah. Uh, obviously you've, you've, you've run, uh, you've, you've had to do a lot of projects and run a lot of teams. Do you have a general rule for over-engineering or, you know, engineering ahead of time? You know, like, because people, we know premature engineering is the root of all evil. Yep. But also sometimes you just have to. Yep. When do you do it? Yes.Dharmesh [00:19:59]: It's a great question. This is, uh, a question as old as time almost, which is what's the right and wrong levels of abstraction. That's effectively what, uh, we're answering when we're trying to do engineering. I tend to be a pragmatist, right? So here's the thing. Um, lots of times doing something the right way. Yeah. It's like a marginal increased cost in those cases. Just do it the right way. And this is what makes a, uh, a great engineer or a good engineer better than, uh, a not so great one. It's like, okay, all things being equal. If it's going to take you, you know, roughly close to constant time anyway, might as well do it the right way. Like, so do things well, then the question is, okay, well, am I building a framework as the reusable library? To what degree, uh, what am I anticipating in terms of what's going to need to change in this thing? Uh, you know, along what dimension? And then I think like a business person in some ways, like what's the return on calories, right? So, uh, and you look at, um, energy, the expected value of it's like, okay, here are the five possible things that could happen, uh, try to assign probabilities like, okay, well, if there's a 50% chance that we're going to go down this particular path at some day, like, or one of these five things is going to happen and it costs you 10% more to engineer for that. It's basically, it's something that yields a kind of interest compounding value. Um, as you get closer to the time of, of needing that versus having to take on debt, which is when you under engineer it, you're taking on debt. You're going to have to pay off when you do get to that eventuality where something happens. One thing as a pragmatist, uh, so I would rather under engineer something than over engineer it. If I were going to err on the side of something, and here's the reason is that when you under engineer it, uh, yes, you take on tech debt, uh, but the interest rate is relatively known and payoff is very, very possible, right? Which is, oh, I took a shortcut here as a result of which now this thing that should have taken me a week is now going to take me four weeks. Fine. But if that particular thing that you thought might happen, never actually, you never have that use case transpire or just doesn't, it's like, well, you just save yourself time, right? And that has value because you were able to do other things instead of, uh, kind of slightly over-engineering it away, over-engineering it. But there's no perfect answers in art form in terms of, uh, and yeah, we'll, we'll bring kind of this layers of abstraction back on the code generation conversation, which we'll, uh, I think I have later on, butAlessio [00:22:05]: I was going to ask, we can just jump ahead quickly. Yeah. Like, as you think about vibe coding and all that, how does the. Yeah. Percentage of potential usefulness change when I feel like we over-engineering a lot of times it's like the investment in syntax, it's less about the investment in like arc exacting. Yep. Yeah. How does that change your calculus?Dharmesh [00:22:22]: A couple of things, right? One is, um, so, you know, going back to that kind of ROI or a return on calories, kind of calculus or heuristic you think through, it's like, okay, well, what is it going to cost me to put this layer of abstraction above the code that I'm writing now, uh, in anticipating kind of future needs. If the cost of fixing, uh, or doing under engineering right now. Uh, we'll trend towards zero that says, okay, well, I don't have to get it right right now because even if I get it wrong, I'll run the thing for six hours instead of 60 minutes or whatever. It doesn't really matter, right? Like, because that's going to trend towards zero to be able, the ability to refactor a code. Um, and because we're going to not that long from now, we're going to have, you know, large code bases be able to exist, uh, you know, as, as context, uh, for a code generation or a code refactoring, uh, model. So I think it's going to make it, uh, make the case for under engineering, uh, even stronger. Which is why I take on that cost. You just pay the interest when you get there, it's not, um, just go on with your life vibe coded and, uh, come back when you need to. Yeah.Alessio [00:23:18]: Sometimes I feel like there's no decision-making in some things like, uh, today I built a autosave for like our internal notes platform and I literally just ask them cursor. Can you add autosave? Yeah. I don't know if it's over under engineer. Yep. I just vibe coded it. Yep. And I feel like at some point we're going to get to the point where the models kindDharmesh [00:23:36]: of decide where the right line is, but this is where the, like the, in my mind, the danger is, right? So there's two sides to this. One is the cost of kind of development and coding and things like that stuff that, you know, we talk about. But then like in your example, you know, one of the risks that we have is that because adding a feature, uh, like a save or whatever the feature might be to a product as that price tends towards zero, are we going to be less discriminant about what features we add as a result of making more product products more complicated, which has a negative impact on the user and navigate negative impact on the business. Um, and so that's the thing I worry about if it starts to become too easy, are we going to be. Too promiscuous in our, uh, kind of extension, adding product extensions and things like that. It's like, ah, why not add X, Y, Z or whatever back then it was like, oh, we only have so many engineering hours or story points or however you measure things. Uh, that least kept us in check a little bit. Yeah.Alessio [00:24:22]: And then over engineering, you're like, yeah, it's kind of like you're putting that on yourself. Yeah. Like now it's like the models don't understand that if they add too much complexity, it's going to come back to bite them later. Yep. So they just do whatever they want to do. Yeah. And I'm curious where in the workflow that's going to be, where it's like, Hey, this is like the amount of complexity and over-engineering you can do before you got to ask me if we should actually do it versus like do something else.Dharmesh [00:24:45]: So you know, we've already, let's like, we're leaving this, uh, in the code generation world, this kind of compressed, um, cycle time. Right. It's like, okay, we went from auto-complete, uh, in the GitHub co-pilot to like, oh, finish this particular thing and hit tab to a, oh, I sort of know your file or whatever. I can write out a full function to you to now I can like hold a bunch of the context in my head. Uh, so we can do app generation, which we have now with lovable and bolt and repletage. Yeah. Association and other things. So then the question is, okay, well, where does it naturally go from here? So we're going to generate products. Make sense. We might be able to generate platforms as though I want a platform for ERP that does this, whatever. And that includes the API's includes the product and the UI, and all the things that make for a platform. There's no nothing that says we would stop like, okay, can you generate an entire software company someday? Right. Uh, with the platform and the monetization and the go-to-market and the whatever. And you know, that that's interesting to me in terms of, uh, you know, what, when you take it to almost ludicrous levels. of abstract.swyx [00:25:39]: It's like, okay, turn it to 11. You mentioned vibe coding, so I have to, this is a blog post I haven't written, but I'm kind of exploring it. Is the junior engineer dead?Dharmesh [00:25:49]: I don't think so. I think what will happen is that the junior engineer will be able to, if all they're bringing to the table is the fact that they are a junior engineer, then yes, they're likely dead. But hopefully if they can communicate with carbon-based life forms, they can interact with product, if they're willing to talk to customers, they can take their kind of basic understanding of engineering and how kind of software works. I think that has value. So I have a 14-year-old right now who's taking Python programming class, and some people ask me, it's like, why is he learning coding? And my answer is, is because it's not about the syntax, it's not about the coding. What he's learning is like the fundamental thing of like how things work. And there's value in that. I think there's going to be timeless value in systems thinking and abstractions and what that means. And whether functions manifested as math, which he's going to get exposed to regardless, or there are some core primitives to the universe, I think, that the more you understand them, those are what I would kind of think of as like really large dots in your life that will have a higher gravitational pull and value to them that you'll then be able to. So I want him to collect those dots, and he's not resisting. So it's like, okay, while he's still listening to me, I'm going to have him do things that I think will be useful.swyx [00:26:59]: You know, part of one of the pitches that I evaluated for AI engineer is a term. And the term is that maybe the traditional interview path or career path of software engineer goes away, which is because what's the point of lead code? Yeah. And, you know, it actually matters more that you know how to work with AI and to implement the things that you want. Yep.Dharmesh [00:27:16]: That's one of the like interesting things that's happened with generative AI. You know, you go from machine learning and the models and just that underlying form, which is like true engineering, right? Like the actual, what I call real engineering. I don't think of myself as a real engineer, actually. I'm a developer. But now with generative AI. We call it AI and it's obviously got its roots in machine learning, but it just feels like fundamentally different to me. Like you have the vibe. It's like, okay, well, this is just a whole different approach to software development to so many different things. And so I'm wondering now, it's like an AI engineer is like, if you were like to draw the Venn diagram, it's interesting because the cross between like AI things, generative AI and what the tools are capable of, what the models do, and this whole new kind of body of knowledge that we're still building out, it's still very young, intersected with kind of classic engineering, software engineering. Yeah.swyx [00:28:04]: I just described the overlap as it separates out eventually until it's its own thing, but it's starting out as a software. Yeah.Alessio [00:28:11]: That makes sense. So to close the vibe coding loop, the other big hype now is MCPs. Obviously, I would say Cloud Desktop and Cursor are like the two main drivers of MCP usage. I would say my favorite is the Sentry MCP. I can pull in errors and then you can just put the context in Cursor. How do you think about that abstraction layer? Does it feel... Does it feel almost too magical in a way? Do you think it's like you get enough? Because you don't really see how the server itself is then kind of like repackaging theDharmesh [00:28:41]: information for you? I think MCP as a standard is one of the better things that's happened in the world of AI because a standard needed to exist and absent a standard, there was a set of things that just weren't possible. Now, we can argue whether it's the best possible manifestation of a standard or not. Does it do too much? Does it do too little? I get that, but it's just simple enough to both be useful and unobtrusive. It's understandable and adoptable by mere mortals, right? It's not overly complicated. You know, a reasonable engineer can put a stand up an MCP server relatively easily. The thing that has me excited about it is like, so I'm a big believer in multi-agent systems. And so that's going back to our kind of this idea of an atomic agent. So imagine the MCP server, like obviously it calls tools, but the way I think about it, so I'm working on my current passion project is agent.ai. And we'll talk more about that in a little bit. More about the, I think we should, because I think it's interesting not to promote the project at all, but there's some interesting ideas in there. One of which is around, we're going to need a mechanism for, if agents are going to collaborate and be able to delegate, there's going to need to be some form of discovery and we're going to need some standard way. It's like, okay, well, I just need to know what this thing over here is capable of. We're going to need a registry, which Anthropic's working on. I'm sure others will and have been doing directories of, and there's going to be a standard around that too. How do you build out a directory of MCP servers? I think that's going to unlock so many things just because, and we're already starting to see it. So I think MCP or something like it is going to be the next major unlock because it allows systems that don't know about each other, don't need to, it's that kind of decoupling of like Sentry and whatever tools someone else was building. And it's not just about, you know, Cloud Desktop or things like, even on the client side, I think we're going to see very interesting consumers of MCP, MCP clients versus just the chat body kind of things. Like, you know, Cloud Desktop and Cursor and things like that. But yeah, I'm very excited about MCP in that general direction.swyx [00:30:39]: I think the typical cynical developer take, it's like, we have OpenAPI. Yeah. What's the new thing? I don't know if you have a, do you have a quick MCP versus everything else? Yeah.Dharmesh [00:30:49]: So it's, so I like OpenAPI, right? So just a descriptive thing. It's OpenAPI. OpenAPI. Yes, that's what I meant. So it's basically a self-documenting thing. We can do machine-generated, lots of things from that output. It's a structured definition of an API. I get that, love it. But MCPs sort of are kind of use case specific. They're perfect for exactly what we're trying to use them for around LLMs in terms of discovery. It's like, okay, I don't necessarily need to know kind of all this detail. And so right now we have, we'll talk more about like MCP server implementations, but We will? I think, I don't know. Maybe we won't. At least it's in my head. It's like a back processor. But I do think MCP adds value above OpenAPI. It's, yeah, just because it solves this particular thing. And if we had come to the world, which we have, like, it's like, hey, we already have OpenAPI. It's like, if that were good enough for the universe, the universe would have adopted it already. There's a reason why MCP is taking office because marginally adds something that was missing before and doesn't go too far. And so that's why the kind of rate of adoption, you folks have written about this and talked about it. Yeah, why MCP won. Yeah. And it won because the universe decided that this was useful and maybe it gets supplanted by something else. Yeah. And maybe we discover, oh, maybe OpenAPI was good enough the whole time. I doubt that.swyx [00:32:09]: The meta lesson, this is, I mean, he's an investor in DevTools companies. I work in developer experience at DevRel in DevTools companies. Yep. Everyone wants to own the standard. Yeah. I'm sure you guys have tried to launch your own standards. Actually, it's Houseplant known for a standard, you know, obviously inbound marketing. But is there a standard or protocol that you ever tried to push? No.Dharmesh [00:32:30]: And there's a reason for this. Yeah. Is that? And I don't mean, need to mean, speak for the people of HubSpot, but I personally. You kind of do. I'm not smart enough. That's not the, like, I think I have a. You're smart. Not enough for that. I'm much better off understanding the standards that are out there. And I'm more on the composability side. Let's, like, take the pieces of technology that exist out there, combine them in creative, unique ways. And I like to consume standards. I don't like to, and that's not that I don't like to create them. I just don't think I have the, both the raw wattage or the credibility. It's like, okay, well, who the heck is Dharmesh, and why should we adopt a standard he created?swyx [00:33:07]: Yeah, I mean, there are people who don't monetize standards, like OpenTelemetry is a big standard, and LightStep never capitalized on that.Dharmesh [00:33:15]: So, okay, so if I were to do a standard, there's two things that have been in my head in the past. I was one around, a very, very basic one around, I don't even have the domain, I have a domain for everything, for open marketing. Because the issue we had in HubSpot grew up in the marketing space. There we go. There was no standard around data formats and things like that. It doesn't go anywhere. But the other one, and I did not mean to go here, but I'm going to go here. It's called OpenGraph. I know the term was already taken, but it hasn't been used for like 15 years now for its original purpose. But what I think should exist in the world is right now, our information, all of us, nodes are in the social graph at Meta or the professional graph at LinkedIn. Both of which are actually relatively closed in actually very annoying ways. Like very, very closed, right? Especially LinkedIn. Especially LinkedIn. I personally believe that if it's my data, and if I would get utility out of it being open, I should be able to make my data open or publish it in whatever forms that I choose, as long as I have control over it as opt-in. So the idea is around OpenGraph that says, here's a standard, here's a way to publish it. I should be able to go to OpenGraph.org slash Dharmesh dot JSON and get it back. And it's like, here's your stuff, right? And I can choose along the way and people can write to it and I can prove. And there can be an entire system. And if I were to do that, I would do it as a... Like a public benefit, non-profit-y kind of thing, as this is a contribution to society. I wouldn't try to commercialize that. Have you looked at AdProto? What's that? AdProto.swyx [00:34:43]: It's the protocol behind Blue Sky. Okay. My good friend, Dan Abramov, who was the face of React for many, many years, now works there. And he actually did a talk that I can send you, which basically kind of tries to articulate what you just said. But he does, he loves doing these like really great analogies, which I think you'll like. Like, you know, a lot of our data is behind a handle, behind a domain. Yep. So he's like, all right, what if we flip that? What if it was like our handle and then the domain? Yep. So, and that's really like your data should belong to you. Yep. And I should not have to wait 30 days for my Twitter data to export. Yep.Dharmesh [00:35:19]: you should be able to at least be able to automate it or do like, yes, I should be able to plug it into an agentic thing. Yeah. Yes. I think we're... Because so much of our data is... Locked up. I think the trick here isn't that standard. It is getting the normies to care.swyx [00:35:37]: Yeah. Because normies don't care.Dharmesh [00:35:38]: That's true. But building on that, normies don't care. So, you know, privacy is a really hot topic and an easy word to use, but it's not a binary thing. Like there are use cases where, and we make these choices all the time, that I will trade, not all privacy, but I will trade some privacy for some productivity gain or some benefit to me that says, oh, I don't care about that particular data being online if it gives me this in return, or I don't mind sharing this information with this company.Alessio [00:36:02]: If I'm getting, you know, this in return, but that sort of should be my option. I think now with computer use, you can actually automate some of the exports. Yes. Like something we've been doing internally is like everybody exports their LinkedIn connections. Yep. And then internally, we kind of merge them together to see how we can connect our companies to customers or things like that.Dharmesh [00:36:21]: And not to pick on LinkedIn, but since we're talking about it, but they feel strongly enough on the, you know, do not take LinkedIn data that they will block even browser use kind of things or whatever. They go to great, great lengths, even to see patterns of usage. And it says, oh, there's no way you could have, you know, gotten that particular thing or whatever without, and it's, so it's, there's...swyx [00:36:42]: Wasn't there a Supreme Court case that they lost? Yeah.Dharmesh [00:36:45]: So the one they lost was around someone that was scraping public data that was on the public internet. And that particular company had not signed any terms of service or whatever. It's like, oh, I'm just taking data that's on, there was no, and so that's why they won. But now, you know, the question is around, can LinkedIn... I think they can. Like, when you use, as a user, you use LinkedIn, you are signing up for their terms of service. And if they say, well, this kind of use of your LinkedIn account that violates our terms of service, they can shut your account down, right? They can. And they, yeah, so, you know, we don't need to make this a discussion. By the way, I love the company, don't get me wrong. I'm an avid user of the product. You know, I've got... Yeah, I mean, you've got over a million followers on LinkedIn, I think. Yeah, I do. And I've known people there for a long, long time, right? And I have lots of respect. And I understand even where the mindset originally came from of this kind of members-first approach to, you know, a privacy-first. I sort of get that. But sometimes you sort of have to wonder, it's like, okay, well, that was 15, 20 years ago. There's likely some controlled ways to expose some data on some member's behalf and not just completely be a binary. It's like, no, thou shalt not have the data.swyx [00:37:54]: Well, just pay for sales navigator.Alessio [00:37:57]: Before we move to the next layer of instruction, anything else on MCP you mentioned? Let's move back and then I'll tie it back to MCPs.Dharmesh [00:38:05]: So I think the... Open this with agent. Okay, so I'll start with... Here's my kind of running thesis, is that as AI and agents evolve, which they're doing very, very quickly, we're going to look at them more and more. I don't like to anthropomorphize. We'll talk about why this is not that. Less as just like raw tools and more like teammates. They'll still be software. They should self-disclose as being software. I'm totally cool with that. But I think what's going to happen is that in the same way you might collaborate with a team member on Slack or Teams or whatever you use, you can imagine a series of agents that do specific things just like a team member might do, that you can delegate things to. You can collaborate. You can say, hey, can you take a look at this? Can you proofread that? Can you try this? You can... Whatever it happens to be. So I think it is... I will go so far as to say it's inevitable that we're going to have hybrid teams someday. And what I mean by hybrid teams... So back in the day, hybrid teams were, oh, well, you have some full-time employees and some contractors. Then it was like hybrid teams are some people that are in the office and some that are remote. That's the kind of form of hybrid. The next form of hybrid is like the carbon-based life forms and agents and AI and some form of software. So let's say we temporarily stipulate that I'm right about that over some time horizon that eventually we're going to have these kind of digitally hybrid teams. So if that's true, then the question you sort of ask yourself is that then what needs to exist in order for us to get the full value of that new model? It's like, okay, well... You sort of need to... It's like, okay, well, how do I... If I'm building a digital team, like, how do I... Just in the same way, if I'm interviewing for an engineer or a designer or a PM, whatever, it's like, well, that's why we have professional networks, right? It's like, oh, they have a presence on likely LinkedIn. I can go through that semi-structured, structured form, and I can see the experience of whatever, you know, self-disclosed. But, okay, well, agents are going to need that someday. And so I'm like, okay, well, this seems like a thread that's worth pulling on. That says, okay. So I... So agent.ai is out there. And it's LinkedIn for agents. It's LinkedIn for agents. It's a professional network for agents. And the more I pull on that thread, it's like, okay, well, if that's true, like, what happens, right? It's like, oh, well, they have a profile just like anyone else, just like a human would. It's going to be a graph underneath, just like a professional network would be. It's just that... And you can have its, you know, connections and follows, and agents should be able to post. That's maybe how they do release notes. Like, oh, I have this new version. Whatever they decide to post, it should just be able to... Behave as a node on the network of a professional network. As it turns out, the more I think about that and pull on that thread, the more and more things, like, start to make sense to me. So it may be more than just a pure professional network. So my original thought was, okay, well, it's a professional network and agents as they exist out there, which I think there's going to be more and more of, will kind of exist on this network and have the profile. But then, and this is always dangerous, I'm like, okay, I want to see a world where thousands of agents are out there in order for the... Because those digital employees, the digital workers don't exist yet in any meaningful way. And so then I'm like, oh, can I make that easier for, like... And so I have, as one does, it's like, oh, I'll build a low-code platform for building agents. How hard could that be, right? Like, very hard, as it turns out. But it's been fun. So now, agent.ai has 1.3 million users. 3,000 people have actually, you know, built some variation of an agent, sometimes just for their own personal productivity. About 1,000 of which have been published. And the reason this comes back to MCP for me, so imagine that and other networks, since I know agent.ai. So right now, we have an MCP server for agent.ai that exposes all the internally built agents that we have that do, like, super useful things. Like, you know, I have access to a Twitter API that I can subsidize the cost. And I can say, you know, if you're looking to build something for social media, these kinds of things, with a single API key, and it's all completely free right now, I'm funding it. That's a useful way for it to work. And then we have a developer to say, oh, I have this idea. I don't have to worry about open AI. I don't have to worry about, now, you know, this particular model is better. It has access to all the models with one key. And we proxy it kind of behind the scenes. And then expose it. So then we get this kind of community effect, right? That says, oh, well, someone else may have built an agent to do X. Like, I have an agent right now that I built for myself to do domain valuation for website domains because I'm obsessed with domains, right? And, like, there's no efficient market for domains. There's no Zillow for domains right now that tells you, oh, here are what houses in your neighborhood sold for. It's like, well, why doesn't that exist? We should be able to solve that problem. And, yes, you're still guessing. Fine. There should be some simple heuristic. So I built that. It's like, okay, well, let me go look for past transactions. You say, okay, I'm going to type in agent.ai, agent.com, whatever domain. What's it actually worth? I'm looking at buying it. It can go and say, oh, which is what it does. It's like, I'm going to go look at are there any published domain transactions recently that are similar, either use the same word, same top-level domain, whatever it is. And it comes back with an approximate value, and it comes back with its kind of rationale for why it picked the value and comparable transactions. Oh, by the way, this domain sold for published. Okay. So that agent now, let's say, existed on the web, on agent.ai. Then imagine someone else says, oh, you know, I want to build a brand-building agent for startups and entrepreneurs to come up with names for their startup. Like a common problem, every startup is like, ah, I don't know what to call it. And so they type in five random words that kind of define whatever their startup is. And you can do all manner of things, one of which is like, oh, well, I need to find the domain for it. What are possible choices? Now it's like, okay, well, it would be nice to know if there's an aftermarket price for it, if it's listed for sale. Awesome. Then imagine calling this valuation agent. It's like, okay, well, I want to find where the arbitrage is, where the agent valuation tool says this thing is worth $25,000. It's listed on GoDaddy for $5,000. It's close enough. Let's go do that. Right? And that's a kind of composition use case that in my future state. Thousands of agents on the network, all discoverable through something like MCP. And then you as a developer of agents have access to all these kind of Lego building blocks based on what you're trying to solve. Then you blend in orchestration, which is getting better and better with the reasoning models now. Just describe the problem that you have. Now, the next layer that we're all contending with is that how many tools can you actually give an LLM before the LLM breaks? That number used to be like 15 or 20 before you kind of started to vary dramatically. And so that's the thing I'm thinking about now. It's like, okay, if I want to... If I want to expose 1,000 of these agents to a given LLM, obviously I can't give it all 1,000. Is there some intermediate layer that says, based on your prompt, I'm going to make a best guess at which agents might be able to be helpful for this particular thing? Yeah.Alessio [00:44:37]: Yeah, like RAG for tools. Yep. I did build the Latent Space Researcher on agent.ai. Okay. Nice. Yeah, that seems like, you know, then there's going to be a Latent Space Scheduler. And then once I schedule a research, you know, and you build all of these things. By the way, my apologies for the user experience. You realize I'm an engineer. It's pretty good.swyx [00:44:56]: I think it's a normie-friendly thing. Yeah. That's your magic. HubSpot does the same thing.Alessio [00:45:01]: Yeah, just to like quickly run through it. You can basically create all these different steps. And these steps are like, you know, static versus like variable-driven things. How did you decide between this kind of like low-code-ish versus doing, you know, low-code with code backend versus like not exposing that at all? Any fun design decisions? Yeah. And this is, I think...Dharmesh [00:45:22]: I think lots of people are likely sitting in exactly my position right now, coming through the choosing between deterministic. Like if you're like in a business or building, you know, some sort of agentic thing, do you decide to do a deterministic thing? Or do you go non-deterministic and just let the alum handle it, right, with the reasoning models? The original idea and the reason I took the low-code stepwise, a very deterministic approach. A, the reasoning models did not exist at that time. That's thing number one. Thing number two is if you can get... If you know in your head... If you know in your head what the actual steps are to accomplish whatever goal, why would you leave that to chance? There's no upside. There's literally no upside. Just tell me, like, what steps do you need executed? So right now what I'm playing with... So one thing we haven't talked about yet, and people don't talk about UI and agents. Right now, the primary interaction model... Or they don't talk enough about it. I know some people have. But it's like, okay, so we're used to the chatbot back and forth. Fine. I get that. But I think we're going to move to a blend of... Some of those things are going to be synchronous as they are now. But some are going to be... Some are going to be async. It's just going to put it in a queue, just like... And this goes back to my... Man, I talk fast. But I have this... I only have one other speed. It's even faster. So imagine it's like if you're working... So back to my, oh, we're going to have these hybrid digital teams. Like, you would not go to a co-worker and say, I'm going to ask you to do this thing, and then sit there and wait for them to go do it. Like, that's not how the world works. So it's nice to be able to just, like, hand something off to someone. It's like, okay, well, maybe I expect a response in an hour or a day or something like that.Dharmesh [00:46:52]: In terms of when things need to happen. So the UI around agents. So if you look at the output of agent.ai agents right now, they are the simplest possible manifestation of a UI, right? That says, oh, we have inputs of, like, four different types. Like, we've got a dropdown, we've got multi-select, all the things. It's like back in HTML, the original HTML 1.0 days, right? Like, you're the smallest possible set of primitives for a UI. And it just says, okay, because we need to collect some information from the user, and then we go do steps and do things. And generate some output in HTML or markup are the two primary examples. So the thing I've been asking myself, if I keep going down that path. So people ask me, I get requests all the time. It's like, oh, can you make the UI sort of boring? I need to be able to do this, right? And if I keep pulling on that, it's like, okay, well, now I've built an entire UI builder thing. Where does this end? And so I think the right answer, and this is what I'm going to be backcoding once I get done here, is around injecting a code generation UI generation into, the agent.ai flow, right? As a builder, you're like, okay, I'm going to describe the thing that I want, much like you would do in a vibe coding world. But instead of generating the entire app, it's going to generate the UI that exists at some point in either that deterministic flow or something like that. It says, oh, here's the thing I'm trying to do. Go generate the UI for me. And I can go through some iterations. And what I think of it as a, so it's like, I'm going to generate the code, generate the code, tweak it, go through this kind of prompt style, like we do with vibe coding now. And at some point, I'm going to be happy with it. And I'm going to hit save. And that's going to become the action in that particular step. It's like a caching of the generated code that I can then, like incur any inference time costs. It's just the actual code at that point.Alessio [00:48:29]: Yeah, I invested in a company called E2B, which does code sandbox. And they powered the LM arena web arena. So it's basically the, just like you do LMS, like text to text, they do the same for like UI generation. So if you're asking a model, how do you do it? But yeah, I think that's kind of where.Dharmesh [00:48:45]: That's the thing I'm really fascinated by. So the early LLM, you know, we're understandably, but laughably bad at simple arithmetic, right? That's the thing like my wife, Normies would ask us, like, you call this AI, like it can't, my son would be like, it's just stupid. It can't even do like simple arithmetic. And then like we've discovered over time that, and there's a reason for this, right? It's like, it's a large, there's, you know, the word language is in there for a reason in terms of what it's been trained on. It's not meant to do math, but now it's like, okay, well, the fact that it has access to a Python interpreter that I can actually call at runtime, that solves an entire body of problems that it wasn't trained to do. And it's basically a form of delegation. And so the thought that's kind of rattling around in my head is that that's great. So it's, it's like took the arithmetic problem and took it first. Now, like anything that's solvable through a relatively concrete Python program, it's able to do a bunch of things that I couldn't do before. Can we get to the same place with UI? I don't know what the future of UI looks like in a agentic AI world, but maybe let the LLM handle it, but not in the classic sense. Maybe it generates it on the fly, or maybe we go through some iterations and hit cache or something like that. So it's a little bit more predictable. Uh, I don't know, but yeah.Alessio [00:49:48]: And especially when is the human supposed to intervene? So, especially if you're composing them, most of them should not have a UI because then they're just web hooking to somewhere else. I just want to touch back. I don't know if you have more comments on this.swyx [00:50:01]: I was just going to ask when you, you said you got, you're going to go back to code. What

You've heard of the Max Fun Drive. Perhaps you've heard us mention it eight billion times. We have to. It's how we are able to exist. The person who runs the whole drive is April and while she won't extoll you to donate during this edition of Naps with Normies, she will tell you all about all the spreadsheets and reports she has to run. Just a constant sea of precise low-key work to be done.It's the Max Fun Drive! Go to www.maximumfun.org/join and select Sleeping with Celebrities to support our show.Hey Sleepy Heads, is there anyone whose voice you'd like to drift off to, or do you have suggestions on things we could do to aid your slumber? Email us at: sleepwithcelebs@maximumfun.org.Follow the Show on:Instagram @sleepwcelebsBluesky @sleepwithcelebsTikTok @SleepWithCelebsJohn is on Bluesky @JohnMoeJohn's acclaimed, best-selling memoir, The Hilarious World of Depression, is now available in paperback. MaxFunDrive ends on March 28, 2025! Support our show now and get access to bonus content by becoming a member at maximumfun.org/join.

Support #Millennial! Pledge on Patreon and receive lots of perks: https://patreon.com/millennial Visit our merch store: https://shop.millennialshow.com Watch episodes on YouTube: https://www.youtube.com/@millennialpodcast On this week's episode, we're continuing to monitor Trump's first 100 days in office. This week's news? A journalist accidentally got added to a non-secure group chat where senior administration officials were casually planning an attack on Yemen, the FBI is investigating Tesla vandalism as potential domestic terrorism, and the implications of Columbia University capitulating to the Trump administration's demands for federal funding. The episode also explores the environmental and ethical concerns surrounding AI tools like ChatGPT, with listeners sharing their personal experiences and the ways they use AI in their everyday lives. We debate the environmental cost of AI and its growing presence in our daily activities, with some listeners expressing concerns while others highlight its usefulness for tasks like creating educational resources or helping with data analysis. This week's recommendations: 'Sunrise on the Reaping' audiobook (Pam), 'The Traitors' (Andrew), and season 2 of 'Severance' (Laura). Learn more about your ad choices. Visit megaphone.fm/adchoices

Danny Baruela is responsible for you being able to hear your favorite shows at Maximum Fun, serving as the company's Technology and Data Specialist. Unlike many people who we have as guests, he's not a celebrity. Has no movie to promote nor album to plug. He's a normie, with tasks to perform, a life to live, and a great deal of complicated computer things to keep track of. Get to know Danny as you settle in for a nap. With a normie.It's the Max Fun Drive! Go to www.maximumfun.org/join and select Sleeping with Celebrities to support our show.Hey Sleepy Heads, is there anyone whose voice you'd like to drift off to, or do you have suggestions on things we could do to aid your slumber? Email us at: sleepwithcelebs@maximumfun.org.Follow the Show on:Instagram @sleepwcelebsBluesky @sleepwithcelebsTikTok @SleepWithCelebsJohn is on Bluesky @JohnMoeJohn's acclaimed, best-selling memoir, The Hilarious World of Depression, is now available in paperback. MaxFunDrive ends on March 28, 2025! Support our show now and get access to bonus content by becoming a member at maximumfun.org/join.

Cobra Kai Final Season - Ep 337: Johnny Lawrence has gone from a karate loser to a dutiful sensei after the humiliating defeat he suffered in the 80's and your hosts have been with him along for the ride. Now with new friends and allies, he's on a collision course that will change his entire life as he wraps up the final season of the Netflix streaming sensation - Cobra Kai Season 6 only on Normies Like Us! Ais! @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

Laura Swisher, also known as Swish, is a senior producer at Maximum Fun, overseeing several shows, including ours. Unlike many people who we have as guests, she's not a celebrity. Has no movie to promote nor album to plug. She's a normie, with tasks to perform, a life to live, and so many dogs to sit. Get to know Swish as you settle in for a nap. With a normie.It's the Max Fun Drive! Go to www.maximumfun.org/join and select Sleeping with Celebrities to support our show.Hey Sleepy Heads, is there anyone whose voice you'd like to drift off to, or do you have suggestions on things we could do to aid your slumber? Email us at: sleepwithcelebs@maximumfun.org.Follow the Show on:Instagram @sleepwcelebsBluesky @sleepwithcelebsTikTok @SleepWithCelebsJohn is on Bluesky @JohnMoeJohn's acclaimed, best-selling memoir, The Hilarious World of Depression, is now available in paperback. MaxFunDrive ends on March 28, 2025! Support our show now and get access to bonus content by becoming a member at maximumfun.org/join.

JonasCon weekend is here! (00:00-22:40). Pete Davidson is dating model Elsie Hewitt (24:03-28:24).Ellen Pompeo speaks on ‘Grey's Anatomy' pay disparity with Patrick Dempsey (28:25-35:59). Tina Fey is sick of celebrity side hustles (36:00-43:00). Hilaria Baldwin snaps at Alec Baldwin on red carpet (44:04-51:02). Beat Ria & Fran game 166 with Olivia & Charlotte (52:39-1:16:06). CITO LINKS > barstool.link/chicks-in-the-office.You can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/chicks-in-the-office

Return to Star Trek DS9 - Ep 336: We trade in March Madness for Space Madness as your hosts head back to Trek amongst the Stars with some very special Deep Space Nine episodes! Put on your red, blue, or yellow pullover, pick up some Pulp Fiction, and get ready to commit a war crime as we revisit what makes this entry into the franchise so special. It's the return of Star Trek DS9 on Normies Like Us! I'm an Alpha Quadrant, you're a Beta Quadrant @NormiesLikeUs https://www.instagram.com/normieslikeus/ @jacob https://www.instagram.com/jacob/ @MikeHasInsta https://www.instagram.com/mikehasinsta/ https://letterboxd.com/BabblingBrooksy/ https://letterboxd.com/hobbes72/ https://letterboxd.com/mikejromans/

Kendall is back from New Orleans! Is Mariah Carey dating Anderson Paak? Also Pete Davidson is with a non-celeb and Kim K wants full custody... because of course she does. Learn more about your ad choices. Visit podcastchoices.com/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Steve, Todd, and Aaron are joined by FBI whistleblower Steve Friend for the Deace Group to discuss whether normie Americans finally woke up to who the Democrats really are after their weird display at Trump's address to the joint session of Congress. Then, the panel discusses what specifically needs to be done at the Department of Justice and FBI to ensure that what happened last week with the Epstein documents never happens again. Hour Two is Feedback Friday. TODAY'S SPONSORS: BEAM: https://shopbeam.com/products/sleep-powder?discount=steve&variant=40436356710455&selling_plan=787415095&utm_source=podcast&utm_medium=sponsorship&utm_campaign=steve and use code STEVE at checkout JASE MEDICAL: https://jasemedical.com/ and enter code “DEACE” at checkout for a discount on your order PATRIOT MOBILE: https://patriotmobile.com/STEVE or call 972-PATRIOT for your FREE MONTH of service Learn more about your ad choices. Visit megaphone.fm/adchoices