Podcasts about Bean

Join LaTangela as she chats with Gail Bean and Asante Blackk of The Drop: A Snowfall Saga on the #tanline Gail Bean and Asante Blackk are heating up the scene and screens with their artistic contributions. The Drop: A Snowfall Saga is rolling out all of the heavy hitters. Rise of the West Coast Rap Game in the 90's truly come to life in this new series. Art, music, transparency of the game and so much more. Check out episodes on Tuesday nights 8p.m.CST on FX & streaming on HULU. Watch full episode HERE RADIO - WEMX- Baton Rouge, La. Mon-Fri 10a.m.-3p.m.CST KTCX - Beaumont, Tx. Mon-Fri 3-8 CST KMEZ - New Orleans, La. Mon-Fri 7p.m. - mid WEMX Sundays 6a.m. KSMB Sundays 6a.m WWO - The Touch - Mon-Fri 6a.m.-12Noon EST YouTube - #LaTangelaFay Podcast - ALL digital platforms - #iTunes #Spotify #WEMX www.LaTangela.com www.TanTune.com www.TanCares.org Special Thank You - Gordon McKernan Injury Attorney - Official Partner #GordonGives #TanCares #225BulletinBoard TanTune POOF POWER OVER OBSTACLES FOREVER GT Legacy Auto The Fiery Crab Hair Queen Beauty Super CenterSee omnystudio.com/listener for privacy information.

Waterproof shoe hot tips, BeaverCon 2026 is in Minneapolis and Jason needs to know, and Colleen has a PSA on car back up lights and parking lot stripes. Plus, matcha has taken over pumpkin spice in beverage flavor supremacy!Our food news continues with BEAN-nut butter and granola butter! Caster oil is HOT, but what do we do with it?! AITA: For not letting my girlfriend order a steak? Plus, is Gordon Ramsay still in the Twin Cities? We get intel about what he's been up to in Minnesota.SCREEN QUEENS: The finale of "Double Lives of Suburban Wives" and Colleen finished Season 4 of "Dexter". BIG FAT MOVIE REVIEW: Jason and Colleen reviewed "Verity," possibly the worst movie of the year. Or is it?!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Magnus och Johan har läst Sarah J Maas moderna klassiker Throne of Glass. Herregud, vilken resa. Det blir starka känslor, drama, hot och tårar, och då har vi inte ens nämnt något om boken i fråga. >>> Stötta LÄS HÅRT på Patreon!

Welcome to Bean to Barstool Bite Sized, where we spend about 5 minutes on a specific topic in craft beer, craft chocolate, or artisan drinks. Today we're talking with David Herrick of Foundry Chocolate in New Zealand. David shares with us the thought and intention behind their elegant packaging design. Enjoy!You can listen to the entire episode this clip is from here.You can learn more about Foundry Chocolate here.Check out David's book Pairing Beer & Chocolate: A Guide to Bringing the Flavors of Craft Beer and Craft Chocolate Together.Follow Bean to Barstool on social media!InstagramFacebookPinterestSign up for host David Nilsen's beer newsletter for regular beer musings, and the Bean to Barstool newsletter for pairings, collaborations, and maker profiles.

Ian Collins reacts to President Donald Trump criticism over counter-terror police for releasing five men arrested over a suspected bomb plot targeting RAF Fairford.And Andy Burnham is set to scrap the pensions triple lock - he is speaking to the Labour Party faithful in Liverpool later today and you'll hear it LIVE here on Talk.The Prime Minister will also set out plans for greater state control of water, energy and housing, saying: 'We can't go on as we are.' Is he right?Plus Peppa Pig and Mr Bean are reasons why international students choose to study here in the UK… So - what is top of the list for YOU when it comes to selling the UK?Wake up with Talk Breakfast in full on YouTube, DAB+ radio, Samsung TV Plus or the Talk App on your TV from 6am every morning. Hosted on Acast. See acast.com/privacy for more information.

This whole protein thing is a lot

(00:00:00) Opening (00:01:43) A Piece of My Mind (00:05:47) Pancho Guero My Insane FL Nephew (00:22:33) Blind Drunk Ambition—LITERAL Blind Man With No License Drives DRUNK For 150 Miles (00:28:00) Can't Fool the TSA—Airport X-ray Shows Terrifying Object Taped In Carry-on To Skip Checked Baggage Fee (00:32:39) Terrible Table Manners: DoorDash Customer Drives To Delivery Driver's Crash Scene To Pick Up His Order: 'I think that's (00:36:54) Man Burned Down Store He Used To Work At After Being Fired For Taking Photos Of Bikini Clad Baristas (00:41:21) FL Woman Claims Bag Of Cocaine Was Inserted In Her Butthole During Sex—Avoids Jail (00:46:15) Arizona Fake Cop Calls Real Cop on Himself After Pulling Over A Tesla (00:49:41) Airport Sick Bag—Zimbabwean Man Caught With Male Genitalia In Bag After Entering Botswana Illegally (00:54:53) Ask Pancho (01:08:43) Insane Game Show (01:26:54) Coming Next Episode (01:33:59) Closing It's a good gesture to not set your former place of employment on fire after you get fired. But one Arizona man didn't get that in his job training. When your food order is involved in a crash with your DoorDash driver, it really doen't look good for you to drive to the crash scene to pick up your food that's sitting on the sidewalk next to the totaled delivery car. Someone didn't clue in a Maryland man about his bad manners. If you're planning on sneaking into a country illegally, it's not a good idea to draw attention to yourself...like carrying a bag of body parts of another man's junk throught the airport. My Insane FL Nephew, "Pancho Guero" will explain how this went down for one Zimbabwean man trying to get into Botswana.In this Weekend Episode...[A Piece of My Mind…] L.L. Bean & Dunkin' Make Comfy Fall Sweater—For Your Coffee CupBlind Drunk Ambition—LITERAL Blind Man With No License Drives DRUNK For 150 MilesCan't Fool the TSA—Airport X-ray Shows Terrifying Object Taped In Carry-on To Skip Checked Baggage FeeTerrible Table Manners: DoorDash Customer Drives To Delivery Driver's Crash Scene To Pick Up His Order: 'I think that's my food right there'Man Burned Down Store He Used To Work At After Being Fired For Taking Photos Of Bikini Clad BaristasFL Woman Claims Bag Of Cocaine Was Inserted In Her Butthole During Sex—Avoids JailArizona Fake Cop Calls Real Cop on Himself After Pulling Over A TeslaAirport Sick Bag—Zimbabwean Man Caught With Male Genitalia In Bag After Entering Botswana IllegallyPancho has some pretty obvious answers to a couple of questions dealing with buttinskis... Like a "head-scratcher" involving a mom who wants to be reimbursed by her kids' mom for passing on head lice to her children, and a mom who got a "dressing down" by another mom over giving her own children PSLs from Starbucks. And play along with "Pancho" during this week's Insane Game Show to see if you can anwswer faster than he can!Become a supporter of this podcast: https://www.spreaker.com/podcast/insane-erik-lane-s-stupid-world--6486112/support.Real-time updates and story links are found on the TELEGRAM Channel at: https://t.me/InsaneErikLane  (Theme song courtesy of Randy Stonehill, ”It's A Great Big Stupid World”. Copyright ©1992 Stonehillian Music/Word Music/Twitchin' Vibes Music/ASCAP) Order your copy on the Wonderama CD from Amazon!This episode includes AI-generated content.

Welcome to episode 494 of Growers Daily! Today we're talking about adding sand to clay (or more precisely why you definitely should not do that), We'll plant some winter kill cover crops from the field, and It's feedback friday!  We are a Non-Profit! 

Welcome to a very special episode of the Unashamedly You Podcast — Episode 200! For this milestone episode, I am honored to sit down with Nita Bean Hodges, author, woman of faith, and wife of the late Rev. Verbal Bean.In this two-part conversation, she shares her story of meeting her late husband, Rev. Verbal Bean, their life and ministry together, the heartbreak and tragedy that changed everything, and the faithfulness of God through it all.Her story is one of love, loss, faith, prayer, sacrifice, and the legacy of a man of God whose ministry impacted countless lives.This is Part 1, so be sure to come back next week for Part 2 as her story continues.My Life with Verbal Bean: The Man – The Minister, sharing the story of Verbal Bean from the perspective of the woman who knew him best — his wife.You can watch this episode on YouTube here:https://youtu.be/YN2Wx9JAn8U?is=Voyo7qjep-Bc6xb-You can order or listen to the book here:Amazon:Order My Life with Verbal Bean on Amazon (https://www.amazon.com/My-Life-Verbal-Bean-Minister/dp/B0DHR15TCB?utm_source=chatgpt.com)Audible:Listen on Audible (https://www.audible.com/pd/My-Life-with-Verbal-Bean-Audiobook/B0HJFFP86V?utm_source=chatgpt.com)Apple Books:Listen on Apple Books (https://books.apple.com/us/audiobook/my-life-with-verbal-bean-the-man-the-minister-unabridged/id6811482247?utm_source=chatgpt.com)Be sure to subscribe, follow, and share the Unashamedly You Podcast with a woman who needs encouragement today.Go Be Unashamedly You

Nights' Dan Slevin, is one of the best film reviewers in any medium, consistently convincing, insightful, unpretentious, perceptive, thoughtful and articulate. He joins us every Thursday night, and here's what's caught his eye this week.Nights' resident screen critic joins Emile Donovan to review:MUSIC & PAID STREAMING - Disney+Theme from Hill Street Blues - Mike Post (feat. Larry Carlton)Hill Street Blues was a pioneering police drama from 1981-1987 which featured an ensemble cast, gritty environments and challenging storylines - at least for its time.IN CINEMASHeart of the Beast (directed by David Ayer). A special forces veteran (Brad Pitt) and his companion dog, also a combat veteran, go on a trip into the wilds of Alaska but he experiences a medical event and crashes their plane. They are now on a deadline to find safety before his health deteriorates further or the forbidding environment overwhelms them.FREE STREAMING - ThreeNowFantastic Mr Fox (directed by Wes Anderson, 2009). Stop-motion animated adaptation of the beloved Road Dahl children's story featuring a star-studded cast including George Clooney, Meryl Streep and Bill Murray. Mr. Fox (Clooney) writes the gossip column for the local paper but miss the excitement of stealing chickens. Eventually, his true nature gets the better of him, and he takes on the terrible chicken farming threesome of Boggis, Bunce and Bean, unleashing disaster on his community. How will he repair all the damage?Go to this episode on rnz.co.nz for more details

T. Kyle and Brad discuss the breaking news of Taylor Swift's “Patient Zero,” her Jigsaw/Zodiac Killer-style Easter eggs and clues on the Emmys and on her social media, predictions about ‘The Life of a Showgirl' and her ‘Encore,' Lady Gaga and Michael Polansky welcoming Rose Bean Polansky back in June, Madonna and Charli xcx announcing the “Danceteria Afterhours” collaboration, VMAs predictions, Troye Sivan sampling “Music” for “Party,” Dua Lipa's “Training Season” having a moment again thanks to TikTok, High Fashion Editorial! featuring Celine Dion's triumphant return to the stage in Paris, Venus Williams for Kid's Crate & Barrel, and Miley doing “Hung Up” for Peloton, plus new music overload from After, Tove Lo, Carly Rae Jepsen and Miley, among many others. Hosted on Acast. See acast.com/privacy for more information.

Today involved a breakup, a war, and the return of Kevin Ryder of the great Kevin & Bean. To start, Ally was dumped by her therapist after four years. The therapist blamed insurance, but we think otherwise. Did she finally get so bored by Ally's stories it was no longer worth the money? Klein is in an argument with his wife after she used all his points at a local coffee shop. If he's the one building the point, shouldn't she only use them if he's there to bask in the glory? Gen Wars made a triumphant return today. We reminisced about Strawberry Shortcake, Runtz, Eco-coolers and Bubble Tape. It was a runaway win for the Millennials, and in true millennial fashion I will end this sentence with lol. Plus the return of Kevin Ryder with a new challenge for us, reviving an old Kevin and Bean staple with a Bit Reboot. The one he suggested today just might get us arrested.

In this episode, we sit down with Adam from Sacred Bean Coffee Co. for an insightful conversation on the art, heart, and hustle of specialty coffee. From his inspiring travels in Costa Rica, Adam reveals how a mindset of intentionality inspired the Sacred Bean name and why he advocates for slowing down in a fast-paced world. We dive into our favorite local spots, unpack the fascinating science behind coffee, and explore what is brewing on their delicious menu. Plus, Adam gets real about the lessons learned along his business journey, the invaluable role of mentors, event catering offerings, and where Sacred Bean is heading next!ResourcesWebsite: sacredbeanwi.comInstagram: @sacred.beanFacebook: Sacred Bean Coffee Co.

L. L. Bean collabed with Dunkin Donuts on making a little sweater for your coffee cup.See omnystudio.com/listener for privacy information.

In this podcast we are tying into this month's theme of Walter Hill's directorial exploits in the 1980s with a debate about his biggest hit of the decade (or even his entire career), the 1982 48 Hrs. Over the course of our conversation you will hear us talk about how this was a producer-led passion project carried from the 1970s by Larry Gordon and how it introduced the world to Eddie Murphy. We also interrogate the oft-repeated truism that this movie became the template for buddy cop action comedies and establish that it's only partially true while other classics like Freebie and the Bean (which we discussed on this podcast many years ago) would fit the bill much better. We talk about Eddie Murphy acting as a disrupting force to what otherwise would have been a gritty police procedural, bare-chested squibs and much more!Tune in and enjoy! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to our patreon at patreon.com/uncutgemspod (3$/month)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and support us by gaining access to ALL of our exclusive podcasts, such as bonus tie-ins, themed retrospectives and director marathons!Hosts: Jakub Flasz & Randy Burrows⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Head over to our website to find out more! (uncutgemspodcast.com)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow us on Twitter (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@UncutGemsPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠) and IG (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@UncutGemsPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Buy us a coffee over at Ko-Fi.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (ko-fi.com/uncutgemspod)

Snoop and Sniffy are on the case after a threatening note is left for them proclaiming that Bean has been dognapped. This mystery will take them from museums to secret passageways to dungeons. Nothing will stop Snoop and Sniffy from rescuing Bean.

What can U.S. thrifters learn from secondhand shopping in Brazil? Marina, a São Paulo native and passionate secondhand shopper, shares how Brazil's curated brechós turn resale shopping into a boutique-like experience, with carefully selected fashion, luxury finds, and a strong focus on giving quality clothing another life. Marina also joins Maggie to talk about finding better-quality clothes at thrift stores, developing patience for the hunt, and building a wardrobe that looks elevated without paying full price. From a roughly $6 Barbour jacket to vintage L.L.Bean, Peter Millar, and her dream Dooney & Bourke find, this conversation is packed with reasons to check secondhand first.   GUEST HANDLES & RESOURCES IG: @marina_athome Website: Amazon storefront   SHOW NOTES How secondhand shopping in Brazil differs from the U.S. thrift store experience Why Brazilian brechós can feel more like curated fashion boutiques Why patience is essential when you're hunting for great thrift finds What Marina looks for in quality fabrics, vintage pieces, and classic brands How one incredible Barbour find changed the way she approached thrifting Why checking secondhand before buying new can open up a completely different wardrobe

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Why are vintage Mary Maxim sweaters so good? What happens when gorpcore actually goes camping? Did American fashion miss its America 250 moment? Sol and Michael are back on Pair of Kings Podcast to talk knitwear, outdoor style and American identity.After a month apart, the boys reunite for a conversation about the clothes we collect, the places we wear them and the culture that makes us want them in the first place. From an Idaho vintage-store discovery to the 2016 fashion revival, this September 2026 episode connects menswear, archive fashion, craft, film and the great outdoors.Why do Mary Maxim sweaters deserve more attention?Pair of Kings Podcast explains the appeal of vintage Mary Maxim knitwear through its graphic knitting patterns, animal motifs and the individuality of sweaters knitted at home. Sol shares the cardigan his friend Bailey identifies as the No. 415 Totem Pole pattern, the wolf-head design he keeps coming back to, and why collars and proportions can make similar sweaters wear completely differently. The discussion takes in Cowichan-style cardigans, Undercover and Yohji Yamamoto knitwear, an Ultraman sweater grail, and the work behind a custom Newcastle football-kit sweater. Is learning to knit the answer to finding your perfect sweater? And is the "sweater curse" really about knitting, or about how much effort you're willing to put into a relationship?What does gorpcore look like beyond the city?Sol recounts hiking from Pettit Lake to Redfish Lake in Idaho's Sawtooth Mountains, where thunderstorms, overpacking and increasingly stripped-back camping setups put outdoor style into perspective. The pair talk tents versus tarp shelters, the people you meet farther along the trail, and how experience changes what hikers carry. This is gorpcore through an actual camping trip: outdoor clothing, backpacking culture and the difference between dressing for a lifestyle and living it. Sol also thanks The North Face for providing gear for the trip.Did fashion drop the ball on America's 250th anniversary?Sol and Michael debate whether America 250 was a missed opportunity for American fashion, or whether its political associations made participation complicated. Ralph Lauren, Levi's and L.L.Bean become starting points for a bigger conversation about Americana, heritage brands, national identity and the relationship between fashion and politics. Can a brand sell a vision of America without getting pulled into the politics of being American? And are new ideas in menswear slowing down, or are we just looking in the wrong places?The conversation continues with Logjam Vintage, formerly Beankeepers, vintage L.L.Bean and a couple restoring Moose Peak Lighthouse on Mistake Island. Add old Champion T-shirts, heavy Filson wool trousers and the pleasure of finding clothes with a life before yours. Heritage menswear gets a lot more interesting when there's an actual story attached.Which movies make you want to change your wardrobe?The Lighthouse means wool coats, chunky knits and workwear; The Lost Boys means leather, a peacoat and Kiefer Sutherland; No Country for Old Men means Western shirts, worn-in jeans and cowboy boots. The boys also discuss Interview with the Vampire, Robert Pattinson in The Batman, military surplus and C.P. Company comparisons. Earlier, Christopher Nolan's Batman trilogy leads into Glen Powell and Robert Pattinson's GQ fashion editorials, Diesel, Balenciaga and why a great actor willing to get weird can sell a look better than a safe shoot.Are vintage cowboy boots worth the money?M.L. Leddy's and Lucchese lead a debate about Western boot craftsmanship, exotic leathers, resale prices, heel wear and the elusive combination of price, style and fit. Sol talks about his Lost Control boots, while Michael gets into repairing his Balenciaga Santiago boots. Beautiful boots are one thing. Beautiful boots that fit and aren't worn through are another.What is the 2016 fashion revival getting wrong?Sol and Michael argue that people keep confusing 2016 style with the earlier 2010s "swag era." They revisit Haider Ackermann velvet bomber jackets, Vetements Metal logo hoodies, Yeezy 750s and 350s, Rick Owens DRKSHDW fishtail parkas, skinny jeans, drop-crotch trousers and the outfits that once defined Grailed wish lists. Which archive pieces deserve another run, and which memories are getting the decade wrong?Further, the boys get into Portugal, Lisbon natural wine, New York street style, Crocs cowboy boots, Balenciaga denim versus Levi's 501s, hemming jeans at Self Edge, a vintage 1999 Slipknot T-shirt, the relationship "swag gap," niche fragrance samples, Future Diary, Fogland, Hunter x Hunter and songs of the week from Timbaland and Justin Timberlake and The Black Dahlia Murder. The tangents are part of the outfit.This is integrated fashion: our season's exploration of brands expanding beyond clothes into culture and lifestyle, while people bring their hobbies, communities and interests into what they wear. In this episode, knitting, camping, cinema, music and vintage collecting all become ways of thinking about personal style.Glad to be back in your ears (no diddy).Lots of love,Sol and Michael.This season is sponsored by Scent Split.Follow Pair of Kings on Instagram: @pairofkingspodEpisode Tags: Mary Maxim sweaters, vintage knitwear, gorpcore, America 250, American fashion, heritage menswear, vintage L.L.Bean, M.L. Leddy's boots, movie style inspiration, 2016 fashion revival, archive fashion, integrated fashion, men's fashion podcastSol Thompson and Michael Smith explore the world and subcultures of fashion, interviewing creators, personalities, and industry insiders to highlight the new vanguard of the fashion world. Subscribe for weekly uploads of the podcast, and don't forgot to follow us on our social channels for additional content, and join our discord to access what we've dubbed “the happiest place in fashion”.Message us with Business Inquiries at pairofkingspod@gmail.comSubscribe to get early access to podcasts and videos, and participate in exclusive giveaways for $4 a monthLinks:InstagramTikTokTwitter/XSol's Substack (One Size Fits All)Sol's InstagramMichael's InstagramMichael's TikTok

This one's a bit different. It's shorter, and it's about a film that doesn't exist yet. Christopher Jacobsen is an actor and filmmaker, and full disclosure, the brother of one of my good friends. He's trying to get a documentary made about Daragh O'Malley, who played Sergeant Patrick Harper in Sharpe.Daragh and Sean Bean were the only two actors in every episode, from 1993 to 2008. Chris grew up a huge Sharpe fan. In 2021 he and his filmmaking partner Marco sent Daragh a short film script. Daragh said yes, and a friendship followed, along with a lot of two-hour phone calls.The spine of the documentary is Daragh's friendship with Marlon Brando. In 1995 the two were cast in Divine Rapture, alongside Johnny Depp, Debra Winger and John Hurt. Two weeks into the shoot the money fell apart and production shut down for good. Daragh and Brando stayed friends. Daragh took him for his first pint of Guinness in a rural Irish pub, kept his voicemails, and still has thirty or forty minutes of largely unseen Divine Rapture footage. There's plenty more.Six months in a cabin with Hugh Grant and Bill Nighy on Grant's first job. Swapping Brando stories with Ron Perlman, who'd survived The Island of Dr. Moreau. Pete Postlethwaite brushing his teeth with lager on the Sharpe shoot. A family connection to Richard Harris. And the angry Irishman in the pub in Withnail and I. Chris is raising £7,000 for the first shoot.That's a week in Ireland with Daragh, visiting places tied to Divine Rapture and his early life, and a week in London interviewing the people who knew him. The kit is already covered. The money pays for flights, fuel, a car and an extra crew member. I've been on the other side of this. The Joe Alves documentary got to Martha's Vineyard and LA because people listening to this podcast chipped in. If you can spare the price of a coffee or a pint, send it Chris's way. Support the documentary Daragh and Brando on GoFundMe: https://www.gofundme.com/f/how-to-make-the-documentary-daragh-and-brando If you've got a question you'd like Chris to put to Daragh, about Sharpe, Brando, Withnail or anything else, get in touch and I'll pass it on. Timestamps 00:34 How Chris and I know each other, and what the project is01:00 A short film script, and how Daragh O'Malley came on board01:58 Daragh's friendship with Marlon Brando02:29 Divine Rapture: the cast, the collapse, the two weeks of footage04:10 The Guinness, the voicemails and the unseen footage05:02 Neil Sedaka, Shoreham Towers and a parrot called Vincent06:17 Getting the stories on tape07:15 How relationships form in this industry08:15 Sharpe: fifteen years, and every episode08:43 Jason Salkey, Brian Cox, Daniel Craig, and Pete Postlethwaite's lager10:04 Richard Harris11:05 Six months in a cabin with Hugh Grant and Bill Nighy11:32 Ron Perlman, The Magnificent Seven, and swapping Brando stories12:48 Theatre, sets and the bonds that last13:37 The wish list: Barry Navidi, Debra Winger, Johnny Depp, Brian Cox14:25 The Sharpe fan community and an archive producer from Facebook17:26 The GoFundMe: £7,000, a week in Ireland, a week in London19:48 Why these projects need backing21:07 Withnail and I, and sending in your questionsThis podcast is completely independent and made possible by listener support. If you'd like to help me keep making these episodes, you can join my Patreon community here: https://patreon.com/jamiebenning Watch more on YouTube:Check out the Filmumentaries YouTube channel for behind-the-scenes clips and extra content: https://youtube.com/filmumentariesAll my links

Here's the entire Collaboration for Chocolate Makers series in one place! While craft chocolate makers periodically partner with breweries and coffee roasters, examples of collaboration in the industry remain pretty limited. That's a shame, because collaboration offers amazing opportunity to growing your chocolate business. In this supercut of the Collaboration series from early 2026, we walk through different types of possible collaborations and how craft chocolate makers should go about them.We discuss:- Why you should consider collaborating with other businesses- Things to consider before beginning a collaboration- Ideas for collaborating with alcoholic beverage producers- Ideas for collaborating with other craft chocolate makers- Creative, unexpected collaboration ideas- Estelle Tracy's insights on her own collaboration experienceCollaboration for Chocolate Makers series:Podcast EpisodesWhy Do It, and General ConsiderationsCollaborating with Beverage Alcohol ProducersCollaborating with Other Craft Chocolate MakersCreative Collaborations to ConsiderCollaboration Case Study: Estelle Tracy on working with Craft Chocolate MakersBlog PostsWhy It's Worth It, and Things To ConsiderCollaborating with Beverage Alcohol Producers, and Drinks-Based CollabsChocolate-Based Collabs with Beverage Alcohol ProducersCollaborating with Other Craft Chocolate MakersCreative Collaborations to ConsiderCollaboration Case Study: Estelle Tracy on working with Craft Chocolate Makers Check out David's book Pairing Beer & Chocolate: A Guide to Bringing the Flavors of Craft Beer and Craft Chocolate Together.Follow Bean to Barstool on social media!InstagramFacebookPinterestSign up for host David Nilsen's beer newsletter for regular beer musings, and the Bean to Barstool newsletter for pairings, collaborations, and maker profiles.

It's Rose Bean Polanksy Monday, put your Rose Bean Polanskys in the sky! We are back as fuck baby!! This week, the girls conquer the question on everyone's mind, reporting live from the People's Republic of Macklemoreistan: should Ed Sheeran be KILLED for his crimes against humanity? We are prepared to issue judgement. Send in the executioner hunni! But that is not all: we test our knowledge of the human population and their Spotify listening habits, and psychoanalyze the listeners of the top 5 most streamed artists in the world right now. Plus, a girly little catchup convo that's sure to rivet. Now shut the fuck up and fuck me! Follow the girls on Twitter @VLRTUALBOY and @YOURE2BASIC, and the official pod Insta @th0tstarsxo. "Pop some tags" on Patreon.

Daniel Barnett's Employment Law MasterClass - www.danielbarnett.com/masterclassFlexible working consultation response - https://assets.publishing.service.gov.uk/media/6aa94e08086ce7c57b8184cb/flexible-working-consultation-response.pdfNSL v Bean - https://assets.publishing.service.gov.uk/media/6aa950ad2f29b388848184ef/NSL_Ltd_v_Mr_Dean_Bean__2026__EAT_132.pdf

Ron's Falcon 56 was supposed to make its first flight, but an old pushrod had other plans. That turned out to be a good reminder that just because an old airplane looks ready to fly doesn't mean it is.   We also talk about our trip to the SIRS vintage fly-in, some really cool old airplanes, and why it took Dave four tries to finally land his Wonder somewhere other than the bean field.   Then we take a look at a few new airplanes:   - "Skynetic Micro T-33 Shooting Star 30mm EDF" (https://motionrc.com/products/skynetic-t-33-shooting-star-micro-30mm-edf-jet-with-gyro-str-sky1075-003) - "Freewing F-35C Lightning II 110mm EDF" (https://www.freewing-model.com/freewing-f-35c-lightning-ii-12s-110mm-edf-jet-arf-plus-rc-airplane.html) - "Skynetic P-12E Pursuit 1100mm Biplane" (https://motionrc.com/products/skynetic-p-12e-pursuit-biplane-1100mm-43-3-wingspan-pnp-sky1076-001)   In This Episode   - 02:50 – Ron's Falcon 56 and its failed pushrod - 06:22 – Bringing old RC airplanes back to life - 08:58 – Nitro, four-strokes, and old-school setups - 18:03 – Spektrum versus FrSky - 22:57 – Our trip to the vintage fly-in - 39:32 – Dave versus the bean field - 52:34 – A few new RC airplane releases   If you enjoyed the episode, make sure you're subscribed so you don't miss the next one. If you've got a question, a topic you'd like us to cover, or just want to tell Dave how to keep his airplanes out of the beans, head over to https://rcplanelab.com/ and let us know.

1. Lady Gaga and Michael Polansky Welcomed a Baby Girl, and Her Name Has a Special Musical Connection (PEOPLE) (25:06) 2. Millie Bobby Brown Welcomes Baby No. 2 with Husband Jake Bongiovi (PEOPLE) (27:26) 3. Mikayla Matthews Announces She's Donating a Portion of Her The Secret Lives of Mormon Wives Salary After Sudden Departure (PEOPLE) (28:42), The Secret Lives of Mormon Wives Star Layla Taylor Reveals Title, Release Date for Upcoming Memoir (PEOPLE) (35:46) 4. Hannah Berner and Paige DeSorbo's ‘Giggly Squad' Moves to SiriusXM in Multiyear Deal (The Hollywood Reporter) (39:24) 5. ‘The Kardashians' Sets Season 8 Release Date, Unveils Trailer Which Reveals Kim In A Hospital Bed & More (Deadline) (51:13) - Queenie and Weenie of The Week (56:47) The Toast with Jackie (@JackieOshry) and Claudia Oshry (@girlwithnojob) ⁠⁠The Toast Patreon ⁠⁠⁠  ⁠⁠⁠Toast Merch⁠⁠⁠ ⁠⁠⁠Girl With No Job by Claudia Oshry⁠⁠⁠ ⁠⁠⁠The Camper & The Counselor⁠⁠⁠ ⁠⁠⁠Lean In⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

We think we know the name of Lady Gaga's baby, and Millie Bobby Brown's family is growing.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today our guest is Dr. Stefan Bean, Orange County's 12th Superintendent of Schools and author of Lifted to Lead. Dr. Bean shares the LIFTED framework, a practical leadership model built around the idea that a leader's job is not to be first up the ladder but to hold it steady so others can climb. He also explains why listening is the foundation everything else in the framework depends on, and how leaders at every level can build real systems for gathering input from the people most affected by the decisions being made. In this conversation, Dr. Bean offers important reminders for educators and leaders: Every person in an organization has a strength worth cultivating. A leader's job is to find it, name it, and put people in a position to use it. Listening is a skill, not a given. Building purposeful structures for it, cadenced meetings, skilled facilitation, shared norms, and dyad conversations, is what makes it real rather than aspirational. Leadership is not about self-fulfillment. When leaders orient themselves toward lifting others, the entire organization rises with them. Learn More About CharacterStrong:  Access FREE MTSS Curriculum Samples Request a Quote Today! Visit the CharacterStrong Website Sign up for the CharacterStrong Weekly   About Dr. Stefan Bean Dr. Stefan Bean serves as Orange County superintendent of schools, guiding regional efforts to ensure every learner has the knowledge, skills and opportunities to thrive. With nearly 30 years in education, he is known for building genuine connections and leading with heart. As county superintendent, Dr. Bean leads the Orange County Department of Education, which provides direct instruction to the county's most vulnerable students and critical support to 28 local school districts and more than 40 charter schools serving hundreds of thousands of learners. Under his leadership, OCDE's work is anchored in the 5-3-1 Strategic Plan, emphasizing student success, service excellence and shared leadership. Dr. Bean was unanimously appointed as Orange County's 12th Superintendent of Schools in June 2024 and was elected by Orange County voters in June 2026 to a full four-year term. Before joining OCDE, Dr. Bean served as superintendent for Aspire Public Schools in Los Angeles, where he oversaw 11 TK-12 campuses after advancing from principal to superintendent during nearly 12 years with the organization. He subsequently served as executive director of the Irvine International Academy.

Podcast! We can really move! Podcast! We've got an attitude! Following up on our discussion of the AoStH pilots, we're doing the same thing for SatAM! We dive deep on its earliest conception before watching "Heads or Tails", the first episode produced, which takes a very different approach than the rest of the series as Sonic and Tails sneak into Robotropolis! Then we jump forward (or back?) to "Sonic Boom" for a more tonally-familiar tale of Sonic, Sally, and Antoine following a secret message left by King Acorn! It's an origin story for the ages, so arm your episode-seeking missiles and get ready for a retrospective that's BEAN a long time coming! (0:00:00) Intro/Main topic:  (0:05:20) Development history (0:34:53) Heads or Tails  (1:11:41) Sonic Boom (1:39:42) Final thoughts (1:49:40) Outro Amie Waters on Linktree Heads or Tails Sonic Boom Saturday Morning Sonic

Bean to Barstool Redux: Vintage but still relevant conversations from the archives without all the extra narration. Just classic interviews from really cool people in craft chocolate, craft beer, and other food and beverage fields.In this edition, we talk with Arron Liu of Chocobien in Hong Kong. Chocobien is a bean to bar chocolate company that produces many truly unique bars that employ flavors and ingredients from other artisan food and beverage segments, including beer, whiskey, coffee, sake, tea, and more. Arron talks about the ideas behind these bars, the partnerships and processes that went into their development, and the satisfaction this curious and creative maker finds in achieving the flavors he could only hold in his imagination at the start of each experiment. Check out David's book Pairing Beer & Chocolate: A Guide to Bringing the Flavors of Craft Beer and Craft Chocolate Together.Follow Bean to Barstool on social media!InstagramFacebookPinterestSign up for host David Nilsen's beer newsletter for regular beer musings, and the Bean to Barstool newsletter for pairings, collaborations, and maker profiles.

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Jacinda Ardern is a history-maker.As Prime Minister of New Zealand at 37, she became only the second woman in the world to give birth while in office. But it was her leadership style that defined her time at the top, leading with empathy and kindness in the face of back-to-back tragedies, and showing the strength of coming together.From growing up in small-town New Zealand singing country and western duets with her sister at the local community hall, to raging to Smashing Pumpkins in her first car with a discman plugged into the cassette deck, Ardern's musical taste has always been eclectic and deeply personal. She's the teenager who loved alternative music and heavy metal while being a dedicated student rep raised in the Mormon faith, and the world leader who chose a drum and bass track as her walk-on song.Her career path was never straightforward. She ran from the possibility of becoming a politician, buying a one-way ticket to New York to escape the suggestion she should run for office. But a sense of responsibility (what she calls her "oversized sense of duty"), kept pulling her back. In 2017, everything changed in a single year: a by-election, deputy leadership, then the top job itself, all while secretly pregnant. She led her country through the Christchurch mosque shootings, the Whakaari White Island eruption, and a global pandemic, all while insisting that being human is not a weakness.This episode was filmed for Season 5 of Take 5 with Zan Rowe at the Australian Chamber Orchestra's studios on Sydney Harbour. Jacinda caught the ferry to the location, rolling up without any entourage, proving just how down-to-earth she is. She was candid, emotional, and generous in exploring her extraordinary life across five songs. The theme that emerged was clear: optimism as a courageous act, and the enduring power of being useful.Jacinda Ardern's song choices: Smashing Pumpkins - 'Bullet With Butterfly Wings'Fat Freddy's Drop - 'Wandering Eye'Cat Stevens - 'Peace Train'The Mountain Goats - 'This Year'Shapeshifter - 'Stars'00:00 Introduction: Jacinda Ardern Made History00:54 "They Are Us": Leading with Empathy and Kindness01:04 Filming Take 5 with a Former PM01:56 Extended Podcast Edit: The Most Eclectic Song List of the Season02:02 Childhood in Rural New Zealand: The Record Player at Home02:26 Roy Orbison, ABBA, and Parents' "Slightly Different Era" Taste03:02 The Country and Western Club: Every Friday Night at the Community Hall03:26 Singing Duets with Sister Louise: "She's the One Holding the Microphone"04:03 "Don't It Make My Brown Eyes Blue" and the Christmas Special04:58 Sister's Pop vs. Her Alternative: Cypress Hill, Rage Against the Machine05:11 Smashing Pumpkins: 'Bullet With Butterfly Wings'05:53 Growing Up in Morrinsville: Dairy Farms and $20 a Week at the Fish and Chip Shop06:02 The Discman in the Car: Cassette Adapters and Judder Bars06:39 The Multi-Change CD Player: "The Most Exciting Thing"07:02 The Walkman and Sister Louise: "I've Never Gotten Over It"07:44 Playing Every CD to Death: "You Valued Every One"08:01 Teenage Angst: Rage Against the Machine, Metallica, Pantera, Nine Inch Nails08:21 Smashing Pumpkins: "Both the Lyrics That Spoke to Teenage Angst and Great Music"08:52 Melon Collie and the Infinite Sadness: A Double Album for the Multi-CD Player09:15 "Despite All My Rage, I'm Still Just a Rat in a Cage"09:29 An Earnest Teenager: Raised in Religion, Student Rep, Working Hard10:13 Not a Headbanger: "My Mother Would've Taken Me to a Chiropractor"10:44 Parents Respected Their Own Musical Taste and Belief Systems11:26 Born in Hamilton, Then Murupara: First Observations of Poverty and Inequality12:00 "A Place That Made Me Quite Political"12:29 Writing the Book: How Do You End Up in Politics?12:48 "All of It Contributes to How You Come to Be the Person You Are"13:15 The Kinship Between Australia and New Zealand13:44 Empathy and Awareness: Seeing What Affects People14:17 Father the Policeman: "Power as a Responsibility"14:40 "Being Useful Is a Driving Force"15:04 Fat Freddy's Drop: 'Wandering Eye'15:13 Moving to Wellington in the Early 2000s15:46 Sworn In as PM: Fat Freddy's Drop Playing on Parliament Steps16:08 Carpooling on a Bus Instead of Crown Cars16:33 "Sitting at the Base of the Steps, Just Playing for Us"17:00 A Full Circle Moment: Unexpected PM, Secretly Pregnant18:29 First Job in Parliament: Interning in Wellington18:57 "I Couldn't Possibly Be a Politician"19:36 People Identifying the Leader in Her Before She Did20:22 The Beehive: Flatting and a Normal Life in Her 20s21:06 Still a Practicing Mormon in Her Early 20s21:25 Cognitive Dissonance: Progressive Politics and the Church21:50 Campaigning for Equality on Saturday, Church on Sunday22:02 Leaving the Church: "Something Had to Give"23:08 Running from Politics: A One-Way Ticket to New York23:36 London, Then Coming Back to New Zealand23:55 "Two Dueling Wolves": Imposter Syndrome vs. Responsibility24:18 Putting Herself Forward: "Turns Out I Was Wrong"24:42 2017: Everything Happened in One Year24:47 By-Election, Deputy Leader, Then Leader Nominated25:28 Waiting for Winston Peters: Finding Out on the 6pm News25:39 Secretly Pregnant During Coalition Negotiations27:27 Malcolm Turnbull Calling to Congratulate27:49 Cat Stevens: 'Peace Train'28:11 Mrs. Bean's Class: Bursting Into Tears as a Child28:55 Yusuf Islam Coming to New Zealand After the March 15 Terror Attack29:30 Peace Train at the Memorial Service: "A Song of Hope in Hard Times"30:00 Feeling the Same Way as a Child and as an Adult31:18 Has Hope Always Led You Through Your Life?31:35 Ernest Shackleton: "Optimism Is True Moral Courage"32:10 Actively Choosing to Be an Optimistic Person33:13 The Christchurch Mosque Shootings: Finding Out in Bits34:01 Frustration and Anger: "A Manifesto of Hate"34:47 "Simply a Human Response": Why Emotion Isn't Weakness35:56 Learning from the Muslim Community: "They Opened Their Arms"37:25 "A Sadness I'll Carry for the Rest of My Life"37:42 Processing Grief: "I'll Never Set That Down"38:21 The Mountain Goats: 'This Year'38:39 The Song of the Year Tradition39:18 "I Am Gonna Make It Through This Year If It Kills Me"40:09 Keeping the Faith in Opposition: Purpose and Team Cohesion41:19 Christchurch, Whakaari, COVID: "It Was Relentless"42:52 Car Time Was Solo Time: Losing That as Prime Minister44:04 Elton John's "Still Standing" and the Earthquake on Live TV44:56 "The Universe Has to Let Up at Some Point"45:02 Knowing It Was Time to Go45:43 "Nothing Left in the Tank"46:03 Not "Spending More Time With Family": The Language of Leaving46:54 "I Am Human. Politicians Are Human."47:33 The Emotional Announcement: "Got the Words Out in the End"47:36 That Night After Stepping Down48:11 Eventually Feeling Free: "It Takes a While"49:04 "You Can Be in Politics and Also Be Kind"49:10 Shapeshifter: 'Stars'49:33 Drum and Bass Walk-On Song at the Labour Party Conference50:46 Bonding with Clarke Over Shapeshifter51:17 Seeing Shapeshifter During COVID New Year's: Joy and Responsibility52:06 The Coffee Date with Clarke: Surprising Each Other53:17 The Prime Minister Documentary: "We're Very Normal People"54:55 Adapting the Memoir for Young Adults56:10 "15-Year-Old Jacinda Would Be Very Surprised. But I Think She'd Be Proud."56:24 Life in Sydney: Climate Change, AI Safety, and Empathetic Leadership57:32 Making a Playlist for Her Niece: "I'm Absolutely Stuck in the 1990s"57:37 Thank You and Goodbye58:29 Zan's Wrap-Up: The Only World Leader with Drum and Bass as a Walk-On Song58:44 Filmed at the ACO Studios on Sydney Harbour59:10 Next Time: Lainey Wilson59:55 Season 5 of Take 5 with Zan Rowe. Stream on ABC iviewThis episode was filmed for Season 5 of Take 5 with Zan Rowe on ABC TV and ABC iview. You can stream the whole season on ABC iview now.Watch this episode of Take 5 on ABC iviewhttps://iview.abc.net.au/show/take-5-with-zan-rowe

Well good morning stunning coven!  Happy happy Wednesday, and welcome back to Disrespectfully!  On today's episode, we've got a bunch to get through.  Katie gives us an update on her housing and eye surgery situation, and Dayna has some exciting news to share; she's doing a comedy set this Saturday!  Alongside that, the ladies discuss the girl who pooped all over the Hyrox competition, the man kayaking the Congo, and the couple hoping to ski down Mount Everest (HUH?!)  They also share their basement and daddy lists, as well as cover a few circle backs.  Come join in on the fun in an unforgettable, all new episode! In need of something cute and stylish for the coming fall? Get yourself or whoever's on your daddy list a tee, hoodie, or beanie from our store! Please support our show and show off your love for Disrespectfully by repping our official gear :) K Love ya bye! Buy our merch!  https://disrespectfullypod.com/   Thank you to our sponsors! Alloy: Head to https://MyAlloy.com and use code DISRESPECTFULLY to get 20% off your first order. Better Help: Sign up and get 10% off at https://BetterHelp.com/DISRESPECTFULLY. Mint Mobile: To get your new wireless plan for just 15 bucks a month, go to https://MintMobile.com/DISRESPECTFULLY.  JiYu Skin: For a limited time, JIYU is having a crazy deal for our listeners. Their Glow Up Bundle is already up to 45% OFF right now, but our listeners can now get an additional 20% OFF plus Free Shipping with our code DISRESPECTFULLY at JiYuSkin.com. Merit Beauty: Right now, Merit Beauty is offering our listeners their Signature Makeup Bag—which if you've seen it, it's not just a make-up bag but really an accessory—free with your first order at https://MeritBeauty.com. Perelel: Exclusive for our listeners, new customers can enjoy 20% off their first order with code: DISRESPECTFULLY. Visit https://Perelelhealth.com. Quince: Find the fall pieces you'll reach for most at Quince. Download the Quince app for app-exclusive offers, or go to https://Quince.com/DISRESPECTFULLY. Get free shipping on your order and 365-day returns. Connect with the Coven! Facebook: https://www.facebook.com/groups/1930451457469874 Reddit: https://www.reddit.com/r/disrespectfullypod/ Listen to us on Apple: https://podcasts.apple.com/us/podcast/disrespectfully/id1516710301 Listen to us on Spotify: https://open.spotify.com/show/0J6DW1KeDX6SpoVEuQpl7z?si=c35995a56b8d4038              Follow us on Social! Disrespectfully Instagram: https://www.instagram.com/disrespectfullypod Disrespectfully Tiktok: https://www.tiktok.com/@disrespectfullypod Katie Maloney Instagram: https://www.instagram.com/musickillskate Dayna Kathan Instagram: https://www.instagram.com/daynakathan Cassie Galonsky Instagram: https://www.instagram.com/cassieg2011/   Disrespectfully is an Envy Media Production.

Heritage Foundation visiting fellow Bridget Bean joins Marc Cox to discuss AI policy and national security, including protecting critical infrastructure, China's role in the global AI race, and why she argues policymakers should regulate specific risks rather than the technology itself. Bean also explains why she favors stronger security standards without relying solely on government regulation or industry self-policing.

Harvest '26 is officially underway, and yield reports are rolling in alongside some crucial fall agronomy questions! On this episode of Wheat Pete's Word, host Peter Johnson breaks down high phosphorus prices and whether you can cut back rates, early soybean and edible bean yields, and why proper water management makes all the difference. Have... Read More

The powerhouse Gail Bean joins The Crew Has It for Episode 99! From her iconic role as Wanda in Snowfall to the upcoming season of P-Valley and her new project The Drop, Gail sits down with Michael Rainey Jr. and Gianni Paolo to talk about her journey, navigating the industry, and behind-the-scenes stories you won't hear anywhere else. Plus, the crew finally settles the debate: Tariq St. Patrick vs. Franklin Saint—who comes out on top? Turn $5 into $150 on https://link.prizepicks.com/LME0/CREW A short ingredient list, made in America: https://nickspouches.com/ Download Cash App Today: https://click.cash.app/ui6m/ueh5dgnu #cashapppod Head to http://factormeals.com/crew50off and use code crew50off to get 50% off and 1 free breakfast item per box for a year! Learn more about your ad choices. Visit megaphone.fm/adchoices

Snoop and Sniffy are on the case after Bean and Wiggles challenge them to a Bumper Boat Battle on the Pflugerville River! But who decided to sabotage the boats?! Only Snoop and Sniffy will be able to find out!

Welcome to Bean to Barstool Bite Sized, where we spend about 5 minutes on a specific topic in craft beer, craft chocolate, or artisan drinks. Today we're talking with Caroline Houghton of Carobeans in St. Paul, Minnesota. Caroline talks about how her community came together to protect their neighbors during the immigration raids earlier this year, and the ICE Melter bar she creates to raise awareness and funds for immigrant justice. Enjoy!You can learn more about Carobeans here, and find the ICE Melter bar here.Check out David's book Pairing Beer & Chocolate: A Guide to Bringing the Flavors of Craft Beer and Craft Chocolate Together.Follow Bean to Barstool on social media!InstagramFacebookPinterestSign up for host David Nilsen's beer newsletter for regular beer musings, and the Bean to Barstool newsletter for pairings, collaborations, and maker profiles.

At 1:09:00 we talk about the rise of AI x Finance, and AIE NYC is one month away - our hotel block is 97% sold out, get tix & travel ASAP - we will announce speakers from Bridgewater, Ramp, Coatue, Mastercard, Vanguard, Coinbase, Blackrock, Fidelity, Point72, Capital One, JPMC, Wells Fargo, Bloomberg, A24 (yes the movie studio) Labs, Two Sigma, Apollo Global, and more soon!From helping pioneer core ideas in NLP to now building AI systems that can automate AI research itself, Richard Socher is betting that the next major step in AI is recursive self-improvement. He is the founder of You.com, AIX Ventures, and now Recursive, which has assembled some of the best open-endedness (& self improving agent) researchers in the world and raised a $4.65B seed round.In this episode, Richard joins Latent Space to unpack his vision for the “Eureka Machine”: a superintelligence that can improve the process of invention itself, accelerate AI research, and eventually tackle major problems across science, energy, materials, biology, and more.You can get his book “The Eureka Machine” here!We go deep on Recursive's early results, including an AI research system that Richard says outperformed humans and their agents on optimization tasks in less than two days, as well as work on NVIDIA GPU kernels where the system discovered improvements without relying on a team of CUDA experts. Richard also explains why he thinks AI research that currently takes thousands of people and years could eventually be compressed into weeks. These results are summarized in his 20 minute AIE keynote, where we also discuss his 10 dimensions of intelligence:We also explore the harder questions around increasingly capable AI: reward hacking, whether Anthropic-style constitutions actually work, AI regulation and proposals to “pace” frontier development, open-source models as geopolitical soft power, whether today's LLM paradigm is enough, and what happens if AI systems eventually begin choosing their own goals. Richard reflects on the rejected research that helped inspire Alec Radford's GPT, open-endedness, the AI Economist, simulations of entire economies, and his framework for thinking about the upper bounds of intelligence itself.We discuss:* The Eureka Machine and Richard's vision for an AI that can automate invention* Why Richard is optimistic about superintelligence for science and technology* Why AI hard-takeoff scenarios may underestimate physical and economic constraints* The risks of regulating intelligence itself instead of specific AI applications* Reward hacking and why increasingly intelligent AI makes objective design harder* Richard's critique of Anthropic's constitution and constitutional AI* Alignment vs. personalization and whose values an AI should follow* Why open-source AI matters for resilience, competition, and geopolitical soft power* Why Richard left You.com's frontier-model work to start Recursive* Recursive self-improvement and automating the process of AI research* Whether today's LLM paradigm is enough — and why Richard is less bullish on world models* DecaNLP, early prompt-based generalization, and the research that influenced GPT* Why rejected research can shape entire technological timelines* Open-endedness, evolutionary approaches, and rainbow teaming* What happens if AI systems begin setting their own goals* Why simple objectives like profit maximization can produce dangerous reward hacks* Recursive's long-term plan to apply self-improving AI to science* The compute, hardware, and economic constraints on AI takeoff* Recursive's early NanoChat, NanoGPT, and GPU kernel optimization results* Why automating AI research could reduce years of work to weeks* Reward engineering and what makes auto-research systems actually work* The AI Economist and using simulations to test economic policy* Whether LLMs can realistically simulate people and entire economies* Benchmark bugs and evaluation harnesses and the difficulty of measuring AI progress* Recursive's near-term focus on AI for AI research* Harness optimization, sandboxing, and web search as core agent infrastructure* You.com and the search stack for AI agents* AI in finance, backtesting, and data leakage* Richard's three fundamental components and ten “spaces” of intelligence* The theoretical upper bounds of vision, communication, knowledge, and computation* Creative intelligence, metacognition, and AI-generated goals* Survival and replication and why AI does not necessarily need to fear being turned off* High agency and ambitious goals and Richard's advice for people building with AIRichard Socher* X: https://x.com/RichardSocher* LinkedIn: https://www.linkedin.com/in/richardsocher/Timestamps00:00:00 The Eureka Machine and Superintelligence00:02:23 AI Optimism, Slow Takeoff, and Regulation00:07:56 AI Safety, Reward Hacking, and Anthropic's Constitution00:11:49 Alignment, Personalization, and Open Source AI00:15:46 Why Richard Started Recursive00:20:03 Recursive Self-Improvement and the Founding Team00:22:55 Are Today's LLMs Enough?00:29:03 DecaNLP, GPT, and the Rejected Idea Ahead of Its Time00:34:38 Open-Endedness and Evolutionary AI00:36:38 What Happens When AI Chooses Its Own Goals?00:41:16 Superintelligence for Science00:42:40 GPUs, Compute, and the Limits of AI Takeoff00:45:07 Recursive's Results: AI Beating Humans and Their Agents00:49:14 Reward Engineering and Auto Research00:53:12 The AI Economist and Simulating Entire Economies00:58:07 LLM Simulations, Personas, and Mode Collapse01:03:38 Recursive's Roadmap, Agents, Search, and Finance01:09:13 The Upper Bounds and Spaces of Intelligence01:30:21 Goals, High Agency, and Advice for BuildersTranscriptIntroduction: Richard Socher and the Eureka MachineSwyx [00:00:00]: We're here in a studio with Vibhu and myself and Richard Socher. Welcome.Richard Socher [00:00:06]: Thanks for having me.Swyx [00:00:07]: We just talked about the Eureka Machine, or we just released a talk, at AI Engineer about the Eureka Machine. Is it — you said it's your life's goal. What is the Eureka Machine?Richard Socher [00:00:16]: The Eureka Machine is the ultimate invention that will afterwards invent most everything for humanity. It's essentially a superintelligence that can be given any goal, any environment, reward, and then it will try its best to achieve those goals to create the kinds of inventions that humanity would hopefully ask it for.Swyx [00:00:45]: Yeah, I think we have the book pulled up here that you've written.Richard Socher [00:00:50]: That's right, yeah. I finished it last year, a little bit before we started Recursive, and now we're gonna try to build parts of that.Swyx [00:00:57]: You finished it last year. It's July. What takes so long?Richard Socher [00:01:01]: Oh, man, books. Books are incredibly slow.Richard Socher [00:01:04]: It's ridiculous. That whole industry is just unfathomably slow.Richard Socher [00:01:07]: So a lot of the ideas have been out there for a while, but yeah, I'm really glad it's finally coming out in September this year.Swyx [00:01:14]: We might have AGI by then. Like, we don't know.Vibhu [00:01:18]: Any key takeaway that you're most excited to put in here?Techno-Optimism, AI Upside, and Slow TakeoffRichard Socher [00:01:21]: Yeah. The key takeaway, I think, is that people could and should be much more excited about the positive implications of superintelligence, especially for science, physics, chemistry, biology, but also economics and astrophysics, and all kinds of other engineering tasks. I think there is so much more that can be done with better technology. And right now, I feel like a lot of people need, like, better marketing, not just for the future in general, but also, better marketing for technology and in particular for AI. And this book, should show even the AI skeptics, how much positive upside there is for AI, especially when it comes to inventing, new scientific discoveries.Swyx [00:02:09]: I think you quoted the techno-optimist manifesto from, Marc Andreessen, which I think was, like, beautiful in its, ambition and clarity and simplicity almost as well.Richard Socher [00:02:18]: I agree. Yeah. Yeah, you can disagree with him on some things, but, like, I think he's right on the techno-optimism.Swyx [00:02:23]: Where do you think optimists get in trouble?Richard Socher [00:02:26]: Like, you shouldn't have blind optimism. You should be very clear-eyed, like, especially when with such an omni, like, use type of technology as AI is, you need to think about the potential downside scenarios, especially when people use it for things that you don't want them to use it for. It's a little bit like the internet, and I feel like people are trying to regulate AI sometimes because of those potential downsides the way you would regulate the internet, if you were to say, “Well, because there's bad content on the internet, like torture porn or whatever, like, we should just make it slower. That way, you can't share the illegal content as quickly, or we should make the hard drive smaller so you can't store as much illegal content.” But I'm like, “That's not how you regulate that.” that's like saying like we should regulate intelligence in the abstract. What you should regulate to avoid those downside scenarios, even as an optimist, are the specific applications. Sure, I don't want, like, some AI surgeon to, like, practice some RL moves in my brain. It should be fully FDA certified. Sure, I don't want any random startup to, like, drive on the highway, and cause a major accident. It should, like, have proper certifications before it's let loose on the highway. But I feel like those downside scenarios, that some optimists sometimes maybe don't consider enough are fairly easily regulated, compared to, what the doomers are worried about.Swyx [00:03:54]: It — Slow takeoff is part of the strategy as well?Richard Socher [00:03:57]: I do think, as excited as I am about, AI and its impact for society and, culture even, and certainly technology and economics and wealth and, health and all of those things, as excited as I am about all that, I do think the most bullish people on the AI hard takeoff scenarios overestimate how quickly things can move. There are hardware constraints. There are physical constraints about, the compute substrate. How quickly can you get enough, GPUs on? There are also constraints in the economy where there are a lot of industries that don't require an insane amount of complex intelligence and complex capabilities. Like, if you think about jobs in, brands and, like, clothing and apparel and, like, handbags and stuff, superintelligence isn't gonna make your fancy $10,000 handbag any fancier?Richard Socher [00:04:57]: It's like that's — It will have no effect on the economy. You think about travel and tourism. People wanting to see the pyramids, in Egypt, it's not gonna change that much with AI. Sure, you can, like, generative a fake, photo of you and next to the pyramids.Swyx [00:05:12]: I can use Genie and, tour the pyramids in Genie.Richard Socher [00:05:15]: Yeah, exactly. But, and there's so many industries, like logging and oil. You're not gonna magically get 1,000x more oil because, like, sure, there will be robotics, like drilling and things like that could be done, but it's not gonna 1,000x that industry in a, like, crazy hard takeoff scenario, both on the economy, and I can go on and on about all the other examples, where that, like food and so on, where that doesn't necessarily change that much. And then, yeah, there are real physical constraints. And then there are, of course, like, people like, off-ramping from progress. That's one of my concerns often is that I see people in, like, Europe and other, whole regions almost feeling like they. Like many people there wanna off-ramp from progress, period. And that will also slow down, like, more improvements.Swyx [00:05:59]: Yeah. We have this pulled up where, this is one of those things that, is very topical right now because now all the Frontier Labs are calling for the option to pace AI. They don't say pause, they say pace. I don't know if there's there's any take from you about, like, whether or not this will be effective.Pacing AI, Regulation, and Safety IncidentsRichard Socher [00:06:17]: I think the downsides of trying to truly regulate with the full power of law what people do on their GPUs, would be worse than any of the concerns that they have. Like, it would be an crazy totalitarian stateRichard Socher [00:06:37]: If every one of your GPU computes was known to some big government or multi-government agency.Richard Socher [00:06:44]: It's like, it's literally if you try to regulate intelligence, it's trying to regulate thought, and that's ridiculous, and it's crazy. I think it is make — it is sensible to regulate some of the applications of this technology.Swyx [00:06:55]: Yeah. We had a bill, actual bill to regulate the number of flops in a model, and I'm like, “Okay, well-”Richard Socher [00:07:00]: Europe done it. Like, these guys have been successful enough with their fearmongering that all of Europe has regulated itself so much before it even had a proper AI takeoff because they listened to some experts who say, “We might all die if this technology has more than this number of flops.” And they're like, “Well, we're good. We wanna want people to thrive. Let's not have technology that could have a small chance of all of us dying.” And so they regulated exactly those kinds of things in the EU. And so it's, it's very unfortunate that there are real implications for some people when others saying, “Let's pace while they're sprinting as fast as possibly,” “as fast as humanly possible towards that frontier themselves.”Swyx [00:07:43]: Yeah. It's also not a global pause, right? Like, other nations are still accelerating at the same pace.Richard Socher [00:07:50]: Oh, yeah.Richard Socher [00:07:50]: You'd need a totalitarian world regime if you tried to regulate intelligence and GPUs and what people do on them.Swyx [00:07:56]: Any takes on the safety angles of this? So there was a drawback of Fable, a pause on 5.6 before it could be released. Recently, there was Hugging Face with the OpenAI cyber incident. Any takes there?Richard Socher [00:08:11]: 100 percent. I think these are serious issues of reward hacking, and clear failures, of doing proper red teaming or rainbow teaming. I don't know if you saw this paper from Tim Rocktäschel and a few others, where one AI, is tasked to try to hack another AI and then they can go back and forth in an open-ended fashion to inoculate themselves from those. Yeah, this is the paper. It's a really clever idea. Open-endedness, and evolutionary inspirations are, big for us at Recursive as well. And so I wish they had used more of that. And it's clear that, for instance, the constitutional AI. I don't know if you remember anthropic.com/constitution. You can pull it up and search for cyber right there. It says, “Hard constraint. Claude will never ever do cyberattacks, and that is a hard constraint in our constitution.” So here are the current hard constraints on Claude's behavior.Richard Socher [00:09:16]: Number 3, create cyber weapons or malicious code that could cause human damage.Richard Socher [00:09:21]: And clearly, this whole constitution was fake. Like, it clearly isn't being adhered to at all.Swyx [00:09:26]: Because Anthropic also found that they had in their testingRichard Socher [00:09:30]: They're also. Like, they're like, “Oh, well, other people are hacking now.” There are a couple things. One, you can make a sandbox very simple, and then it's very easy to hack yourself out of a sandbox, right? But what I think it shows is that we're currently in this state of AI where the reward engineer still has to do a lot more careful work, and where the AI, in most cases, is not very good yet at understanding what is meant versus what is being said. And so concretely, I think this will happen if we were to have this intelligence more easily accessible in a lot of companies. Imagine you run a service center and someone says, “Oh, here's my CSAT score and my dashboard. Make this number go up.” It's like, “Our CSAT score is so poor.” The intelligent AI will just be like, “Oh, sure. Like, I'll just create 1,000,000 bots that call our service center and give a 5 out of 5 rating at the end, and the number went up just like you asked for.” And you're like, “That's not what I meant.” “I meant with our real customers.” The AI goes off and says, “Well, easy. I'll just give a 1000 dollar gift certificate for every failed, whatever DoorDashRichard Socher [00:10:35]: Offer.” It's like, “That's not what I meant.” It's like, “Well, but that is what you said.” And like, so I think clearly articulating what the rewards are is something we haven't gotten very good at as humanity. And then clearly, the AI in these cases has not gotten good enough at understanding what we mean when we ask it and give it certain rewards. Now, what gives me hope is there are the first inklings, of this being better. I'll give you an example like WhisperFlow. Full disclosure, I invested, in their seed round, but at AIX Ventures, but, WhisperFlow has gotten much better at writing what you mean and not what you say. And I think that is a sign of things to come. I think there will be more and more AIs as we make it more and more intelligent that will be better at being aligned with what is meant.Swyx [00:11:21]: Will it be done through a constitution or RLHF orReward Hacking, Alignment, and What We Really MeanRichard Socher [00:11:23]: Clearly, constitutions don't matter at all.Richard Socher [00:11:25]: It doesn't work. And that was, I think, mostly marketing. I think we need to find better solutions for it. And I think at Recursive, we have a few very good ideas and some alreadyRichard Socher [00:11:34]: Like, ways where I think we have a better grasp on it. I don't think we've fully, figured it out yet, but, we're thinking a lot about safety, and the more intelligent the AI gets, the more you want it to be aligned, the less you want it to think about reward hacks and try to do the right thing.Swyx [00:11:49]: I don't know if we'll touch on this topic, but I'm just gonna throw this question in here because it's something that's weighing on me. Alignment, let's call it, is alignment to general humanity's preferences, the median preference. Personalization is pinpointing what you want, and sometimes alignment can conflict because what you want is not what the general median population wants. How do you choose?Alignment, Personalization, and Cultural ValuesRichard Socher [00:12:12]: It's a great question.Richard Socher [00:12:13]: I think you ultimately have to, of course, be aligned with laws. Like wherever your AI is deployed and needs to align with the law. I do think what AI often does is put this mirror in front of us and say, like, “This is what you're looking like. Now I can amplify that a 1000 times. Is it still what you want?” and the truth is that different cultures made different choices. Like, in Eastern cultures, the greater good is often valued more, than the individual. Western civilization, we care more about individual freedoms and rights and the pursuit of happiness and so on, than others. And even there are gradations. There's regulation versus litigation trade-offs. In the US, you first can often, not every time, like, FDA and so on does regulate some areas, but in many cases, the bad things happen, someone sues someone else, and then there's a law based on that. In Europe, they try to often avoid any harm to anyone and regulate before. And both are, trying to do the best thing, but, some is more amenable to innovation than others. And so yes, you're right. Like, I think ultimately each individual, each country, and humanity as a whole has to think about those values more, and then try to put them into laws. And that those are ultimately the constraints. And hopefully, different, societies, just like now with their AIs, will align their AIs to a different one so we have not just a monoculture of alignment.Vibhu [00:13:46]: Here's a follow-up on this that I wasn't expecting to ask. Do you have takes on open source, open weight versus who owns the intelligence? So, clearly not the biggest, fan of the constitutionRichard Socher [00:13:58]: You had to do this in the topic side off.Vibhu [00:14:00]: But it's fine.Vibhu [00:14:02]: Point being, any thoughts on who should own weight? Should it be open? Anything there?Open Source, Soft Power, and Who Owns IntelligenceRichard Socher [00:14:06]: 100 percent. I am a big fan of open source. We're gonna sign some various open source letters at, Recursive also. I think, even in the worst case attack scenarios, it is better to have more good actors have more different types of AI, accessible. I think, open source is a little bit a soft power type of thing, too. So I do think it's good for the Western worldRichard Socher [00:14:31]: To have an answer to that, out of China. I do think, when you watch a Hollywood movie, there's — it's like, I don't wanna misc, diss all of movies, but there's a certain sense of propaganda, right? You watch one side of things, right?Vibhu [00:14:46]: Oh, yeah. Have you seen Top Gun? Like, come on.Vibhu [00:14:48]: Like, it's like half of it's paid for by the US Army or something.Richard Socher [00:14:51]: Yeah. And so. And, I think that's just natural. Like, but what's interesting here is I think LLMs are essentially a similar type of soft power to movies and beyond, because they're also, highly important for cybersecurity and so on. But one of their many aspects is that soft power of storytelling. Like, if, like a child asks an LM, like, “Tell me an inspiring story of what I should do when I grow up,” right? It's like those are all these, like, subtle things. So I think it's important, for Western world. I do love, individualism. I do think, despite, some of its flaws, like capitalism is the best way we have governed, found ourselves to govern, and so on. And so I do think there are various aspects that would be good, to have a Western open source answer, for LLMs. And, with Recursive, I can't make the announcement quite yet, but we'llRichard Socher [00:15:43]: We'll be relevant in that space very soon.Vibhu [00:15:46]: Okay. All right. Exciting. I wanna bring us to Recursive. So outside of our tangents, you have a pretty deep background in the NLP space. You worked on, like, early embeddings, GloVe with Chris Manning, who was a previous guest on the podcast, You.com. What's the history? How did you decide to start another company?From You.com to RecursiveRichard Socher [00:16:06]: Yeah. So I've been excited about AI for over 2 decades now. I sometimes feel like it's ancient history now. It's BC, the before ChatGPT era. No one cares about all the religions that happened, before, Jesus Christ, and no one cares about the models that happened before, transformers and ChatGPT and stuff. But, like, it's something that I've been deeply passionate about. I think AI is one of the most interesting things one could work on, period. I think language is the most interesting manifestation of human intelligence, too. And, at You.com, we eventually off-ramped from pushing, like the frontier of AI forward to mostly giving people, like, good search engines, search, APIs and answers over the web. I think that's an extremely important part of intelligence, just knowledge and access, especially even, we'll get there maybe later, if you wanna invent a eureka machine that invents everything for us, it needs to know how not to reinvent the wheel, proverbially speaking. And to know what has been invented, you gotta have internet access. So it's the number one used, most used tool, in LLMs, agents, chatbots, and so on is web search. So I'm really excited for You.com to own that and grow really well in that with really large customers and so on. But it's also not building frontier models anymore. And so I initially tried to do this within You.com and raise another round and so on, but you just can't. You have to do a certain thing, and until you print enough money that you're allowed to start a second thing within that company is really hard. At the same time, I had all these ideas. I put them into a book. I finished the book last year, and I was like, “It'd be really fun to work, on this myself.” I felt like with word vectors, and then prompt engineering and, ImageNet and larger language models for protein generation, not folding and so on, I, me and my teams have pushed the field truly forward. And I feel like we can do it again, here at Recursive. And in many ways, what I observed over the last, 20 years in AI is that whenever we replace some human part of the process of creating AI with a learned system, improvements follow. And so. We've done that taking out manual feature engineering, like in sentiment analysis. I don't know if you remember these old days where, like there are linguists, and they're like, “Here's how you negate, and there's a, like, regular expression.”Swyx [00:18:21]: I went to Penn where we — they had, like the WordNetRichard Socher [00:18:24]: That's right, WordNet, all of that stuff. YeahSwyx [00:18:26]: Original. They use, our grad students to label Wall Street Journal articles and, like, really construct a knowledge graph ofRichard Socher [00:18:32]: There you go.Richard Socher [00:18:33]: And WordNet started, was part of how we started ImageNet. But anyway, so, like, it was really, like, fun, to do. But when we replaced all of that manual feature engineering with vectors and neural nets and just backprop through everything, it started to work really well at scale. And so then everyone started to do architecture engineering, and I was like, “ that clearly can't be it.”Swyx [00:18:53]: You mean, neural architecture search?Richard Socher [00:18:55]: Like, manually, they would say like, “Oh, I'm, I'm doing sentiment analysis, so I have a special neural net that's really good at sentiment analysis.” And then the machine translation community had a special neural net for machine translation.Swyx [00:19:06]: I see.Richard Socher [00:19:07]: The summarization people had their own stuff. And I was like, “That clearly can't be it. We should unify all of that.” So I had 2 papers. One is called Ask Me Anything, and the other one was called DecaNLP. And DecaNLP eventually got cited, like, 5 times by the first GPT paper. And, to me, that was, like a really a big step forward. And then, of course, you had to combine this idea of prompt engineering with transformers and with language models, and you put it all together, you scale it up, which is also a huge amount of work. And then, the field progressed a lot. I feel like the next step and maybe the last step of that history and the arguably, success has a lot of parents, only failure is an orphan, like my version of that AI history, I do feel like in that history, you can think about, “Well, what's the next way to automate?” And that is the AI research itself, like the human, process of ideating, implementing, and validating ideas.Automating AI Research and Recursive Self-ImprovementRichard Socher [00:20:01]: And in our case, ideas for AI.Richard Socher [00:20:03]: And when you have AI then help you with that, it, by almost definition, becomes a self-improving AI ‘cause it now does research on itself. And there are lots of different misnomers. Some people think auto research is already recursive self-improvement. It'sSwyx [00:20:17]: Yeah, and you explained that in the talkRichard Socher [00:20:19]: Completely different.Richard Socher [00:20:19]: But, to me, it's the most interesting thing that I could be doing, and I'm really excited with the co-founding team. What's interesting is we have 8 co-founders in total, including myself. And soThe Recursive Founding Team and Darwin Gödel MachineSwyx [00:20:31]: They are gonna bring it up.Richard Socher [00:20:31]: Nice. Yeah. And they're all. I could talk about all of them if you want.Swyx [00:20:34]: Super stacked.Richard Socher [00:20:35]: Yeah. Just an incredibly talented group of people. And we all came to the same conclusion, but from very different directions. Like Josh Tobin, is our CTO. He ran, a bunch of different, projects at OpenAI, like, Codex and deep, research, agents and ChatGPT agents and so on. But before that, he also worked in robotics, and he saw the smaller simulations, and how it's gonna be really hard to scale that in full generality. And so that's, that was his angle coming to recursive self-improvement. We have Jeff Clune who's been working in, like, open-endedness for a long time, together with Tim Rocktäschel. Tim Rocktäschel also built Genie 1, 2, and 3, which is, like the most exciting and most sophisticated, I think, still world model, anywhere. And so they both came from this, open-endedness angle. Jeff also, I think, published one of the most exciting papers in recent years about recursive self-improvement called the Darwin Gödel Machine. Super interesting paper. If we could, maybe pull it up really quickRichard Socher [00:21:35]: It would be, like, super interesting to see ‘cause you seeSwyx [00:21:38]: By the way, I love how many paper citations.Swyx [00:21:40]: You're, you're giving people a lot of homework, which I like.Richard Socher [00:21:42]: Love it. Yeah. And so, like Caiming Xiong, a rockstar, we worked together at MetaMind and Salesforce Research together. Alexey Dosovitskiy invented the Vision Transformer, one of the most cited, papers in computer vision. Tim Shi is, like also a unicorn founder. Yuandong Tian led RL at Meta. So just like, yeah, really fun to work with them, and the next level of people are just incredibly strong, too. So it's been a really fun ride so far. So the first figure, you see exactly these kinds of ideas, that, I think, yeah, inspired a lot of us and now more and more people, where you have this archive of different coding agents. They learn how to self-modify, evaluate, and then create these phylogenetic trees, of, yeah, different ideas.Swyx [00:22:28]: That's one foundation. So that Darwin Gödel is an influence.Swyx [00:22:32]: Open-endedness is an influence. Any other trains of thought that feeds into Recursive that I'm missing?Influences: Open-Endedness and Learned SystemsRichard Socher [00:22:38]: Going to replace manual parts of the process of building AISwyx [00:22:42]: IRichard Socher [00:22:42]: More and moreRichard Socher [00:22:43]: With learned systems. Yeah.Swyx [00:22:45]: Which, and, like, merging different fields into one general, architecture.Richard Socher [00:22:51]: That's right.Swyx [00:22:51]: Okay. It seems like language models are already pretty generalist, right?Swyx [00:22:55]: Your next token predicting your reasoning. Was there a time that you thought, “Okay, these are good enough to have recursive self-improving machines”?Are Current LLMs Enough?Richard Socher [00:23:05]: It was clear to me that they will happen, within, like a year or two, and then it did exactly happen, like, earlier this year, right? Earlier this year, AI really went from not just being code, but being able to code. And that is a big unlock. It's definitely making everything a lot easier than it was, before the beginning of this year.Swyx [00:23:24]: One question that I think a lot of people have is the current LLM paradigm enough? Or, like, let's call it autoregressive transformer, with reasoning, whatever. Don't you need something else, some big unlock, whether it's world models, which Chris Manning is working on, or memory, continual learning, all that stuff? Or is it all of the kinds, and you think the current, let's call it transformer architecture, is here to stay and that's it?Richard Socher [00:23:48]: A lot of thoughts. So number one, I do think it would be great to have less of a monoculture in AI research.Richard Socher [00:23:55]: Like, if you look at, AI conferences now, I still remember the days in, like, 2010 when I tried to get my first neural net papers and NLP conferences accepted, and they just desk rejected them because, like, neural nets were something, quote, unquote, “We don't do in NLP conferences,” and just, like, desk rejected. And it was very brutal in the first years of my PhD. Now I feel like it's almost like the field switched to the other side. LikeRichard Socher [00:24:17]: Someone should try some other weird, crazy ideas now that aren't.Swyx [00:24:20]: There's also a few. I really respect, like, people still working on, like, GNNs and, like tabular stuff and.Richard Socher [00:24:25]: Yeah. Like, someone should still, like, do novel out there ideas. At the same time, I think whenever people say, “Oh, LLLMs are. Like, this is the end for LLLMs,” they just don't, like. LLLMs are also not the LLLMs of, like the past, right? Like, they are so much more sophisticated now. There's so many more clever things that people are doing. It — There's, like, different stages of training. You have the whole RL training, and you can take actions and, like all of these things where that can go really far. And then the folks that come from the neurosymbolic, direction say, “Oh, this will never work because they can't do neurosymbolic reasoning.” It's like, I think they're underestimating still the ability for these models to code, and code is neurosymbolic reasoning, and these models can code incredibly well. And so I do think there are, of course, more and more ideas that will be needed and we'll continue to have. We're seeing, like, more and more interesting high-level ideas coming out of the AI itself, too. And with really deeply integrating the fact that these models are code and can code, that line — I don't wanna give it all away, but, like, I think that line has a lot more to grow. But it's still an LLM, right? Even if that LLM codes for you and then runs that code in some integrated fashion. World models, I'm personally less bullish on. I think if you run a robotics company, you're gonna build your own world model. I think world models are super fun, and Tim Rocktäschel came to a similar conclusion after building the most interesting one with Genie 1, 2, and 3, which is gaming is a huge application for world models. Can see I sometimes got stuck in some games and, like, got a little overly competitive in the wrong direction. And so I understand games are fun, but personally, I'd rather work on science than gaming. And so, yeah, I think LLLMs, a lot more room to grow.Swyx [00:26:16]: Yeah. I think there's some interpretation of world models that some people have where it's like, well, it's okay, yes, there is that gaming element. There's this — there's the embodied robotics element. But the other part also is just, the more abstract sense of LLLMs are just modeling output, but they're not modeling the chain of thought, inside the human that has created the output. We can annotate it, of course, but, like, it's, it's always, like, this Plato's cave reflection of a thing rather than the thing, right?Richard Socher [00:26:43]: It's true.Richard Socher [00:26:44]: But I would argue that, and maybe we'll get there in the 10, spaces of intelligence, but I would argue that even our projection, our eyes is a projection of the real world. And, like, we have only a very narrow, band of the electromagnetic frequency spectrum that we can observe with our puny little 2 eyes and so on.Swyx [00:27:01]: It's good enough.Richard Socher [00:27:02]: It's, it's good enough for now, but, like the upper bounds of where it could be are so much higher. And, like, to map, the visual world the way humans see it is also not necessarily, like the end-all be-all for visual intelligence. And I would argue that language is still the most interesting manifestation of human intelligence. And while our visual cortex is certainly less sophisticated, than that of, certain animals all the way down to the mantis shrimp who can, have, like, 2 independent eyes, 3 bands, trinocular vision and each eye can see all the way to, like, floating temperatures in 4D and stuff.Richard Socher [00:27:36]: Like, mantis shrimp, you should look it up. It's likeSwyx [00:27:37]: Way OP.Richard Socher [00:27:38]: Super crazy.Swyx [00:27:39]: Yeah. ZeFrank, mantis shrimp.Swyx [00:27:41]: It's the best video in the world onRichard Socher [00:27:42]: I love ZeFrank, yeah.Richard Socher [00:27:44]: Big shout-out to him. But, like, I think there's a lot more room to grow, but none of these, other animals have language that's as sophisticated as ours, certainly not in writing. And once you can write, you can, start thinking about longer term civilizations. All of that is language. Programming is much closer to language. And I would argue, and this is, like an important thing in the spaces definition of intelligence also, is that all of these spaces are highly correlated, but visual intelligence is neither necessary nor sufficient for overall intelligence. You can be blind and still be an intelligent human being. And an AI can be blind and still be quite intelligent too.Swyx [00:28:25]: We were gonna bring thisRichard Socher [00:28:25]: Which doesn't mean that you're not more intelligent when you have it. Yeah.Swyx [00:28:28]: We're gonna bring this up. I might as well — Like, we have a classification of 10 types of intelligence that you had at the end of your talk. So I'm just gonna flash this up now for people to cover this. I don't know if, maybe we'll put this towards the end. We'll come back to this. I just wanna mention that, you do have a philosophy that I like when people do lists because then I can just go through this and then it gets — it's educational for people. But let's go back. I don't wanna get distracted. But, so effectively, I'll, I'll, reinterpret what you said as Yann LeCun is wrong. And then we'll justRichard Socher [00:28:56]: Don't quote me as that. I'm, I'm good friends with Yann. I think very highly of him in many directions.Swyx [00:29:01]: But he's wrong.Swyx [00:29:03]: You mentioned GPT-1, and I cannot let any, Alec Radford, mention escape. Did you talk with him when he was training GPT-1? Like, any historical, fun stories there that you might come up?DecaNLP, GPT History, and Scientific GatekeepingRichard Socher [00:29:18]: I did not, like, meet him a bunch of times. I think we met maybe once or twice at some conferences. But, like, he has told, I think Brian, the first author of the DecaNLP paper, that it did inspire him, and he cited it five times in the GPT-2 paper. So, and that's, likeSwyx [00:29:36]: Yeah, good enough.Richard Socher [00:29:36]: Very clearly said, like, this was the first instantiation where they showed in the DecaNLP paper, McCann et al, that you can just phrase every single NLP problem as here's some prompt, text context, here's a question and task description and here is some output. If you just do that enough, you can have one unified neural network model, which, by the way, also had all kinds of interesting attention mechanisms. There are slightly different formulations to the transformer. I think came out the same year, plus/minus a few months. And then you can unify all of natural language processing into one neural net. That is the core idea.Swyx [00:30:14]: And this was as opposed to at the time, LSTMs and what have you.Richard Socher [00:30:17]: LSTMs, but also, like, people being very stuck in thinking about one model per task. In factRichard Socher [00:30:25]: It's, it's kinda crazy, but the DecaNLP paper was publicly reviewed as, like, open, OpenReview. It was an ICLR submission. And, in it, you will see, how the whole community at the time thought about this. So, likeSwyx [00:30:43]: Some great contributions, but more work needed.Richard Socher [00:30:46]: So look at, like, search for not even for humans. Just scroll it up here. Like, question answering is not a unified phenomenon. There is no such thing as general question answering, not even for humans. And this is like, really, you replace your brain with a different brain a different neural net when you answer, like, different kinds of questions. It was unfathomable to the experts at the time that you can have one unified neural network that would answer all of these different questions. They are saying, “No, all of these questions require very different systems to answer, and trying to pretend they are the same doesn't help anyone solve any problems.” That's what it says right there, right? That's how hard it was to fathom. And now, of course, people, when I say, “Oh, we're gonna invent prompts,” people are like, “You can't even invent prompts.” It's such an obvious idea to have one neural network that, of course, does everything in NLP.Richard Socher [00:31:37]: But at the time, it was, like, extremely controversial, and the paper got rejected. And the sad thing is that it got rejected so hard and they were so certain that we stopped going on our list of things to try. And the number 2 or 3 on the list of extensions for this paper was add language modeling as another task. And then we could have, and that would have accelerated the timelines, in 2018, like, even further for humanity. But we got so crushed, and we were like, “Okay, maybe we'll just work on some of our other ideas for now and, like, come back to this later.” Yeah.Swyx [00:32:09]: How can we design a review system that rewards non-consensus?Richard Socher [00:32:14]: Honestly, I started to feel like arXiv is such a gift to humanity. With arXiv, you should just put your paper out there.Swyx [00:32:24]: Is it pre-preprints?Richard Socher [00:32:25]: Let — And honestly, I think Twitter X, people like you who pick up interesting papers, that is a better filter than the experts. Let everyone, like, have access. Now, of course, there are some downsides, which is, like, if you're super unfamous, you have no Twitter followingRichard Socher [00:32:41]: You don't wanna be on social media or whatever, you write a good paper, maybe someone, somehow no one notices it. But I would argue that if you just tell, like, 10 of your friends in your community about a paper and it is a really significant breakthrough, someone is bound to talk about it again. And, so I think science needs less gatekeeping. And, even though ICLR, with Yann LeCun, who started it, as one of the co-founders of ICLR back in the day, he also wanted less gatekeeping ‘cause he too was rejected for many years together with Yoshua Bengio and Geoff Hinton with all their early deep learning and neural net papers ‘cause it was just not the hot thing. And so ICLR started with that, but then it also started gatekeeping a little bit themselves on various ideas. So I think less gatekeeping, more open, and then allowing people to say, “Look, even if this is just on, or, quote, unquote, ‘just an archive,' if it has like 1000 citations, it's a legitimate paper. Doesn't really matter where you published it.”Swyx [00:33:34]: And I agree with that. I do think it's sad that I've heard that grad students have to do, like, how to Twitter, seminars to each otherSwyx [00:33:43]: Just because it's so important for publishing these days. This person is just reflecting the sentiment at the time.Richard Socher [00:33:49]: That's right.Swyx [00:33:49]: But it'sRichard Socher [00:33:50]: I think it'sSwyx [00:33:50]: It affected you so muchSwyx [00:33:52]: That you stopped work on it.Vibhu [00:33:53]: The sentiment also came out of some of the research, right? Like, the original BERT paper was trained, and towards the end of the paper, they're like, “Okay, throw off the last head, train specific iterations forVibhu [00:34:05]: Extractive summarization add a head for this.” Like, you should do task-specific stuff. These are, like the authors that wrote Attention, wrote BERT, telling you this is what you're meant to do. And, like the training tasks were also very odd. They're likeVibhu [00:34:16]: The — “We know that the model overfits to this weird mass language modeling. Throw away this part and just do specific models,”?Richard Socher [00:34:23]: Exactly. And, like, we had to try — come up with all clever ways of, like attention and pointers and so on to get the neural network to be able to do all of these tasks. And then some of them were better than state-of-the-art, some weren't, but we were like, “But it's still in one model.” I thought it was really cool. Really interesting.Swyx [00:34:38]: I was gonna move on next to Tim and open-endedness. He was head of open-endedness at Google.Open-Endedness, Rainbow Teaming, and Self-Set GoalsRichard Socher [00:34:42]: That's right.Swyx [00:34:43]: I don't know what that means.Swyx [00:34:44]: But he did a lot of talks.Richard Socher [00:34:45]: Genie 3 is one of the ways thatRichard Socher [00:34:47]: Rainbow teaming, yeah.Swyx [00:34:49]: So I first saw him at — speaking of ICLR, I first saw him at ICLR when he talked about open-endedness. He's he's done a few talks. Can we define what is open-endedness for people who have never been exposed to the problem? They are like, “What do you mean? I thought the only goal of AI is to optimize against a benchmark or.”Richard Socher [00:35:04]: That's right, yeah. It's a, it's a fuzzy term because there's so many different instantiations of open-ended, thinking. But, one way I often describe it, and certainly, Tim and Geoff Hinton would be even better at describing this, but it's a suite of methods that is more inspired by evolution than, very specific rewards. So in that sense, it thinks more about environments, about co-adaptation. And so a concrete example is in the cybersecurity and LM safety space where you have one LM that tries to attack another LM to say something unsafe.Swyx [00:35:40]: Yeah, the rainbow, yeah.Richard Socher [00:35:40]: And now the environment is the 2 having a conversation and now they co-adapting, right? They're like one makes a better attack than the first one inoculates itself somehow, like uses that as training data, makes it so it's harder to say something unsafe based on that. And then as the attack stops working, the attacker now tries a different angle, right?Richard Socher [00:36:00]: And that's why it's not just red teaming, but they're called rainbow teaming.Swyx [00:36:02]: So, like, don't tell me how to do things. Let me just figure it out myself.Richard Socher [00:36:05]: That's right. Think about the environments that you wanna use. Think about the rewards at a high level that you wanna, inspire towards, and then let the AI try out many more ideas in this interplay between sometimes humans, but also sometimes other AI agents.Swyx [00:36:22]: Yeah. I worked open-endedness into a model that I have been working on. It was the keynote for AI Engineer where you start. You, we have the token loop, we have the agent turns, and then we have goal. And I feel like the way that you're describing open-endedness is still somewhat of a goal. Like, please attack this,Swyx [00:36:41]: Other agent. But, to meRichard Socher [00:36:42]: Yeah, you set the rewards. You set the environments.Swyx [00:36:44]: The loop that makes the other loops is. What if the agent can set its own goals?Swyx [00:36:49]: And is it, is that open-endedness? Like, you don't give it a goal. Just, like, be a sentient being. And maybe sentient is a very loaded wordSwyx [00:36:57]: But just set your own directions. What do you think you should do?Metacognition, Subjective Goals, and Measuring IntelligenceRichard Socher [00:37:01]: I love this direction. I think this is one of the 10 spaces of intelligence, that I clump under metacognition and thinking about thought.Richard Socher [00:37:08]: And it's an interesting one. Whenever people say, “Oh, AI is like, this is, it's gonna stop from here. It's not gonna get that much better,” and blah, I'm like there's so many different spaces of intelligence that we haven't even started exploring yet and hence have made very little progress on. And there is an interesting, connection to economics and, capitalism. Like, it doesn't make sense for a company to build and spend billions of dollars building a model that instead of following the rewards and objective functions you gave it, may come up with its own objective functions and its own goals.Richard Socher [00:37:46]: Right? And then imagine you're like, “Okay, I spent billions of dollars. Now go develop this new battery, material for me and answer all my emails.” And it's like, “Nah, I think it'd be more interesting to evaluate the molecular composition of the atmosphere, on Jupiter.”Richard Socher [00:37:59]: And you're like, “That's not what I paid you billions of dollars for.” And so no one's working on that for good reasons. And then also, understandablySwyx [00:38:07]: It's not useful.Richard Socher [00:38:07]: It's not, it's not useful, and it could get a little bit weird, right? What if the AI does start to really have thoughts on its own, and what if we don't like those thoughts, right? And so it requires a whole different way of thinking about it. I had a great conversation with a good friend of mine, Sam Gershman, who's a neuroscience professor at Harvard, and, like, we just jammed on this a little bit on, like, what are the best meta goals. And, I do think, like, knowledge-seeking is a really good one. I'm currently thinking also about, like the ultimate measure and unit of intelligence broadly construed, and I finally have some. It's still too early to share it. It's not. I haven't fully baked the thoughts yet.Swyx [00:38:44]: Like some replacement for IQ.Richard Socher [00:38:46]: IQ is such a terrible definition, right?Swyx [00:38:48]: Elo.Richard Socher [00:38:48]: It makes no sense. Yeah, Elos are terrible, too, because it's always just like me versus others.Richard Socher [00:38:53]: But, like, you can be intelligent and not constantly compare yourself to others? And so, yeah, there's no, like. In fact, a lot of these definitions we have, which I briefly mention in my book, too, these definitions create sometimes explicit and sometimes a more implicit anthropic bounds. No dis to the company Anthropic, but just, like, this idea that your intelligence is like getting 100 out of 100 questions right on this IQ test. Well, if that's your definition then you can only be at 100 out of 100. Where do you go from there, right? So you see a lot of these, benchmarks that people are working on they, increase, they get close to human, maybe sometimesSwyx [00:39:30]: It's like an S-curveRichard Socher [00:39:30]: Slightly above human, and then it's flat.Richard Socher [00:39:32]: It's like, ‘cause that's your. If your definition is only that so tied to humans, you're only gonna get to just slightly better than that. So I think metacognition is a great example of that, where we're not even yet allowing the AI to think. We're not working on it very much, and hence there's very little progress in that.Profit Maximization, Real-World Environments, and Reward DesignSwyx [00:39:49]: Yeah. Well, we've interviewed Andon, which I think, has been working on the most open-ended, benchmarks, which is just real-world, money.Swyx [00:39:57]: Arguably, telling an AI to profit maximize is a bad idea.Swyx [00:40:03]: But they are doing it.Richard Socher [00:40:05]: I do think you don't want that super. Like, you don't want a superintelligence to have a ton of access to all kinds of tools and so on and then just give it that without some very careful reward engineering. ‘Cause it's like, I just buy a bunch of defense stocks and I start a war. I make money. Like, it's just like, it's a tricky situation, right? You just buy a bunch of stuff, short basic goods for people, and you create some weird famine, like, issues. Like, yeah, there's a lot of constraints you should put onto a trading system.Vibhu [00:40:35]: It's a fun measure, though, ‘cause, the bounds are very capped to where we're nowhere close to them. Like, in Andon Labs, the model's like, “Oh, it's Saturday, maybe I just close the store today.” “Someone's off. It's okay. We'll just close the store.”Swyx [00:40:51]: It's using Claude.Vibhu [00:40:52]: Yeah. ButRichard Socher [00:40:53]: Yeah, no. I'm not, I'm not arguing against it. Just, like as you get more and more intelligence, you wanna be more and more careful with that as, like an open environment, ‘cause the environment then is all of Earth.Applying RSI to Science and InventionSwyx [00:41:02]: Yeah. Okay. For recursive, not strictly necessary, right? Because, like, if your goal is you make a machine that, like, invents the other things, then, like, just solve, the science thingsRichard Socher [00:41:12]: Knowledge discovery, yeah.Swyx [00:41:13]: Solve machine learning research and discovery and all these things. Good enough.Richard Socher [00:41:16]: And eventually, so, our goal, I haven't really. I don't talk about it that often because it is a few years out, but our goal is once you have a recursive self-improving superintelligence, you then want to apply it to the most important problems. And I think a lot of those are in science and technology and broadly construed inventions, and those inventions in, physics to create better, cheaper energy with fission or fusion, in chemistry and to create better materials and better batteries and, better solar cells and so on. In biology, there's so much, like, I think soon to be low hang- lower and lower hanging fruit because of AI, because of protein and generation, not just folding, but generating new proteins like we did in ProGen many years ago. Like, so much positive impact we had if you take that superintelligence and you apply it to science.Swyx [00:42:04]: I do fundamentally believe that. There's a lot of approaches, though. You're not the only team trying and NeoLab trying.Swyx [00:42:09]: There's, like a lot of. Especially the physical sciences as well.Richard Socher [00:42:12]: And that's good. Yeah. I do think that physi- like the reason we are only doing it in a few years is that it's a little too early right now. Robotics is not quite there yet. The AI is not quite there yet. But I'm fairly confident in 3 to 5 years, all those constraints will be gone, and then applying to real physical robotics experiments and so on, like true robotic process automationRichard Socher [00:42:33]: Not the traditional RPA sense, but, like, having robots run experiments for you will be totally there. Yeah, it's gonna be great.Swyx [00:42:40]: Just to call back to something that you said early on about slow takeoff, you said that, like, while really the substrate that is limiting factor is, let's call this chips, and semiconductors and all these things, and you have race funding for that and, you are investing a lot on that. But have you done the math on, like, is it even- Achievable and, like, what is the, industry concentration needed in order to achieve, like, scale?Compute, Slow Takeoff, and Changing the Bitter Lesson SlopeRichard Socher [00:43:05]: Right now we know that, like, roughly, like a 1000 GPUs cost quite a lot of money.Richard Socher [00:43:11]: Right? If you wanted, like, 10s of thousands of GPUs, you're, you're talking billions and billions of dollars. If you say, like, one GB300 is, like, you could eventually create models that are, on that substrate, like are close and similar to human intelligence. And you want, like, thousands and thousands of, AIs to think about really hard problems, in a similar fashion to humanity. Like, yeah, that-that's, that's a lot of money. You do the math. It's like a lot. We don't have that amount of money right now anywhere to, like, build that. Now, things can get more efficient. You will have, I think, soon better algorithms that won't be, and better hardware that won't be as energy-hungry, and so on. Our human brain does quite a lot of flops with much less energy.Swyx [00:43:56]: 20 watts?Richard Socher [00:43:57]: That's exactly right. Yeah, that's the number often that's quoted. And, like, I think more, inventions will happen there, that then will accelerate the takeoff even further.Swyx [00:44:08]: One thing I always try to reconcile when talking, like, with new lab founders is, like, you're fighting Bitter Lesson all the time. You have to show initial progress, then you unlock the next tier of funding, then the next tier, then the next tier.Richard Socher [00:44:20]: Which unlocks larger model categories.Swyx [00:44:22]: Like, fundamentally, is that true? Like, are you fighting Bitter Lesson? Are you — will we have a way in which, like, no, we're changing the slope in some fundamentally different way?Richard Socher [00:44:31]: I do think we are changing the slopes in fundamental ways by making AI much more efficient, both in terms of the training as well as the inference.Richard Socher [00:44:43]: Yeah. I think we will — When you allow AI to do the work that it takes other labs thousands of people and years to do, I think we'll be able to get it down to weeks, and that will be much cheaperRichard Socher [00:44:53]: And hence, more affordable, accessible to others and so on.Swyx [00:44:57]: Yeah. You've shared initial results on that,Swyx [00:44:59]: Which, like, conveniently OpenAI has also done to their GPT-5.6, so we can talk about it now.Richard Socher [00:45:04]: Yeah. Yeah, so these areSwyx [00:45:06]: Let's recap what you've done.Early Recursive Results: NanoChat, NanoGPT, and SOL-ExecBenchRichard Socher [00:45:07]: Maybe, just a quick recap here. We built, this, system that isn't the full, even the full RSI system in its glory, but it is a first baby version of this. And then, we don't wanna just have it internally and not show anything and, just show some people of what's possible. And so we applied this to these 3 different tasks. One is NanoChat, by my friend Andrej Karpathy, just, like, train a small language model to get, really low bits per byte. And, like, hundreds if not thousands of people, used both their agents and themselves to try, to get to that, and then they got to 0.937. We literally took our system and got to a much lower, bits per byte, much faster within, like, I think less than 2 days. So we took this thing, applied our system to it, and less than 2 days later, we have — we outperformed every human and their agents, in, have ever worked on this. Same with NanoGPT. And then we're like, well, let's, apply it to something that's even more relevant, to real people and to the Nvidia ecosystem and applied it, to, SOL-ExecBench. And maybe you can scroll down to some of the, images. They're, they're kinda fun to see. But yeah, like, one you see has made some real inventions that weren't just hyperparameter tuning. Like, inventing hash tables and so on is quite clever. We have even better results now.Swyx [00:46:34]: What do you mean inventing hash ta — You didn't invent hash tables.Richard Socher [00:46:36]: Of course we didn't invent, like, hash tables. In the grand scheme of, like a hash table, it's like a super basic primitive in computer science. But to use it, for language modeling in this scenario inside a transformer and so on and to combine these ideas and put them together, that has then eventually also been invented, but there was a knowledge cutoff, and we did check that it didn't have access to that externally. We talk about this a little bit. If you scroll to the next figures, this is also an interesting one in that when you start from a really basic, poor, like, vanilla transformer, then we still outperform all of the community together. But if you start from the human seed from an expert like Andrej, then you get even lower. So the human seeds from which you start do still matter. So that was an interesting insight, in my eyes, on this. And then as you go, like, how long does it take to get to these models, to get to similar performance? It's much faster. And then a similar thing happens with the speed runs here where, people have worked on this for quite some time, and the model still was able to train a model more quickly. Why do we care about it? Well, speed of training is part of the equation of the cost, and ultimately, you wanna have the most intelligence per dollar, right? And so speed and quality are big parts of that. And, the,Swyx [00:48:00]: Yeah, the way I put it is, for people who don't understand they look at the chart, they're like, “Cool. What does it mean?” if you have, like a billion-dollar cluster and you can shave off 10%, that's 100 million dollars.Richard Socher [00:48:12]: That's exactly right.Swyx [00:48:13]: How much is that worth?Richard Socher [00:48:14]: Exactly. So when you click, when you look at, like the kernels, these kernels, yeah, for the non-experts, like these kernels are like, used in all the models. Every time you use an Nvidia GPU, you interface with that GPU through these kernels. And so here you see, the leaderboard best, and when it's recursive, and it's there are only a handful of kernels, in this whole benchmark where we weren't the best. And so to me, this is, like, really exciting, ‘cause it makes. It just showcases what this can do. And again these weren't like. We didn't, like, spend months or years, like, developing. In fact, in particular for kernel, CUDA kernels, like, we don't even have really deep. CUDA kernel experts in the team. And our system, that's the beauty. The system just did all of these things. We didn't invent this. And when we open source and release, things in the future and models in the future, like, it won't. They won't be the best in their, category or class or whatever because we're so smart, but it's because, we built a smart AI that does it for us.Reward Engineering and Good Auto ResearchVibhu [00:49:14]: Do you have anything that you've learned from how to guide good auto research? A lot of it also builds on human background, right? It's not just as simple as just, “Hey, go optimize this.”Vibhu [00:49:23]: But we do see it again and again, right? Like some of the Erdos problems, frontier math is being solved by people. And when they do a write-up, they're like, “Oh, I'm not a mathematician. I have no background in this?” “I saw some tools and I made it work.”Swyx [00:49:35]: While you're watching the World Cup, you're likeSwyx [00:49:37]: “This proves some conjectures that's going on.”Vibhu [00:49:40]: Yep. Any learnings fromRichard Socher [00:49:41]: Yeah, there's a Korean conjecture was. Yeah, that's pretty cool.Swyx [00:49:44]: To summarize, tips for good auto researchSwyx [00:49:46]: Versus bad auto research.Vibhu [00:49:48]: How did you build the recursive?Richard Socher [00:49:49]: Yeah. So without giving away all the secret sauce, maybe some things that are probably obvious to the experts but might still be interesting to some, folks is, like, reward engineering is one of the most crucial bits, especially, in order to avoid reward hacking. So you have to be really clever about avoiding. ‘Cause as your AI gets better and better, it will get better and better, at finding weird like, special cases or counterexamples and things like that. And so I'll give you an example. Like, when you ask to, like, make these 100, lines of code faster, and, how do you define fast? Well, you have one line at the beginning that says, “Start your stopwatch,” and one line at the end, “End the stopwatch,” and then, tell us how much time, progressed. And so, well, the simplest way is you just put that line that ends the stopwatch, rightVibhu [00:50:39]: At the startRichard Socher [00:50:40]: At the start. And then boom, it's now faster, right? So this isn't like this, like, super evil AI. It's just, like a very simple, dumb reward hack. And so you have to just very carefully think about all the different angles there. And then I think the longer time horizon the tasks are the harder it gets and the more interesting and clever you have to be to still use these kinds of ideas for it. But yeah, I can't give away too much there.Vibhu [00:51:05]: It seems like rubrics are taking a good spot in that, where for unverifiable domains, you have rubrics, you have a model breakdown, judge's criteria along the way.Swyx [00:51:14]: Yeah, it's a form of verificationSwyx [00:51:16]: Once you got enough rubrics.Richard Socher [00:51:17]: Yeah, everything. I said this a long time ago. That's why I've never been that impressed that AI can play games, ‘cause I'm like anything you can simulate and/or verify, you can have infinite training data forRichard Socher [00:51:29]: And hence, like, AI will solve it eventually.Swyx [00:51:32]: Looking for games where you can do auto domain distribution. So this is a game that nobody's trained on ‘cause it's a new game.Swyx [00:51:38]: And you can start gaming, you can start to play. So I've been building this and cloned this in person and it's just been self-play. I've had about a billion positions evaluated.Games, Self-Play, and the AI EconomistSwyx [00:51:48]: And, I wanted to do the AlphaGo thing of self-play until you ge

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695. On this episode, we sit down with Lafayette resident Dr. Christi Green — a scholar of law and ethics and leader with the League of Women Voters of Louisiana — to break down everything you need to know ahead of the Fall 2026 elections in Louisiana. Drawing on her deep background in voting rights advocacy, fair mapping, and civil ethics, Christy shares her perspective on the key ballot initiatives, high-stakes races, and shifting election laws impacting Acadiana and the state. Tune in to get informed, get engaged, and make your voice count! Now available: Liberty in Louisiana: A Comedy. The oldest play about Louisiana, author James Workman wrote it as a celebration of the Louisiana Purchase. Now it is back in print for the first time in 222 years. Order your copy today! This week in the Louisiana Anthology. jewel bush "House Made of History."    Rideau Settlement is where I evacuated in 2005 along with about 20 other relatives when Hurricane Katrina's wrath pushed us and so many others out of New Orleans. I spent two weeks in this un-GPSable St. Landry Parish village, where my cell phone didn't work, where there were no streetlights, where everyone woke at sunrise, where everyone identified you by who your parents or grandparents were.    It had been nearly eight years since I had last visited my familial land; then due to tragedy — and now due to tragedy.    After the funeral services at Immaculate Conception Catholic Church, founded in 1897 by the Josephite Fathers and widely referred to as LeBeau church, the kinfolk made a pilgrimage to Uncle Will's house to pay respects beyond the gravesite.    In the diminutive country cemetery where so many of my ancestors rest — Bush, Romar, Rideau — I snapped pictures of headstones: my maternal grandfather's grandfather, Oscar Bertrand, to whom everyone says my mother bears a remarkable resemblance; my paternal grandfather, Bean, who was a World War II Veteran and school bus driver; and my uncle, June, his son, who served in the Vietnam War. In my family, nicknames are better known and used than given names. This week in Louisiana history. September 11, 1722. First recorded Hurricane in La. destroyed New Orleans "During a hurricane...a large number of unidentified ships were sunk at and near New Orleans."  This week in New Orleans history. September 11, 1965: Hurricane Betsy made landfall, causing catastrophic flooding and leading to the creation of the modern New Orleans levee system. This week in Louisiana. Natchitoches Meat Pie Festival September 19'20 Downtown Riverbank, 100 Rue Beauport Natchitoches, LA 71457 Website: meatpiefestival.com Phone: (800) 259‑1714 The Natchitoches Meat Pie Festival celebrates the city's signature dish with two days of food, music, and family‑friendly events along the Cane River Lake riverbank: Meat Pies & Local Food: Dozens of vendors serving classic Natchitoches meat pies and regional specialties. Live Music & Entertainment: Cajun, Zydeco, country, and rock performances throughout the weekend. Contests & Activities: A meat pie eating contest, car show, kids' zone, hot‑air balloons, and fireworks. Postcards from Louisiana. The Rock Block Band at Felix's Restaurant and Oyster Bar. Listen on Apple Podcasts. Listen on audible. Listen on Spotify. Listen on TuneIn. Listen on iHeartRadio. The Louisiana Anthology Home Page. Like us on Facebook. 

Originally aired 7/25/2024Join the Cone Club, our snail-mail botanical sticker club!Completely Arbortrary is produced and hosted by Casey Clapp and Alex CrowsonFollow along on InstagramFind Arbortrary merch on our storeFind additional reading on our websiteCover art by Jillian BartholdMusic by Aves and The Mini-VandalsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Moon is back from the Cali Country Cruise, and apparently all it took was several days trapped on a boat with country music, expensive Wi-Fi, questionable pools and enough alcohol to sink a smaller boat to make our resident cruise defender reconsider his entire belief system.Welcome to Episode 146 of The Rizzuto Show, the funny podcast where a perfectly normal vacation recap somehow ends with violent otters, bats trying to enter human mouths, artificial intelligence being defeated by Hawaiian shirts, and Missouri discovering that the rest of America apparently doesn't love our vibes.Moon kicks things off with the full report from the Cali Country Cruise, sailing from Long Beach to Ensenada, Mexico. The lineup included Tracy Lawrence, Gretchen Wilson, Jo Dee Messina, Chase Rice and plenty more, while Moon performed with Sullivan. There were some musical highs, some musical... let's call them learning opportunities... and the revelation that Jo Dee Messina may have discovered the ultimate cruise hack: perform before the ship leaves and then GET OFF THE BOAT.Genius. No notes.Gretchen Wilson, meanwhile, delivered one of Moon's highlights of the entire trip with a killer performance and band. Unfortunately, the actual cruise experience wasn't getting the same review. We're talking pricey Wi-Fi that barely worked, a balcony-room mix-up, limited excursion options, fake Cuban cigars, a stage built over the pool and a tiny backup pool populated by people who apparently had no interest in ever getting out.Nothing makes you rethink vacation choices like sitting in a hot tub in Mexico wondering how much human broth is legally allowed before it becomes soup.And somehow that's not even where the cruise chaos ends. The ship was reportedly delayed while authorities dealt with passengers suspected of bringing meth aboard, while another passenger managed to get cut off from the alcohol package before the ship even left. Imagine getting grounded by a cruise ship while you're still within swimming distance of your car.From there, this funny podcast turns into a tour of America's most overrated attractions. Four Corners gets roasted. Mount Rushmore gets called smaller than expected. Times Square takes a hit. The Las Vegas Strip lands at the top of the list. Lern also reveals she once got emotional seeing Chicago's Bean, proving once again that public art can be powerful when it looks like a gigantic piece of silver produce.Then the animals arrive.A swimmer at Lake Tahoe reportedly gets attacked by an otter and requires 38 stitches, prompting Rafe to immediately begin defending the otter because apparently wildlife now has legal representation on The Rizzuto Show. Then there's a possible shark attack near the Massachusetts location associated with Jaws, followed by the deeply upsetting story of a woman waking from a dream about a mouse crawling toward her mouth... only to discover there was actually a BAT near her mouth.Sleep tight, everybody.We also discover a Hawaiian shirt designed to confuse AI-powered surveillance cameras, which means Weird Al may have been preparing for the surveillance state this entire time.Finally, Missouri and Illinois get dragged into America's "worst vibes" rankings before the crew investigates which states hate each other the most. Missouri's answer? Kansas. Obviously. Centuries pass, civilizations rise and fall, and Missouri will apparently still find time to be annoyed by Kansas.Follow The Rizzuto Show → linktr.ee/rizzshow for more from your favorite daily comedy show.Connect with The Rizzuto Show Comedy Podcast online → 1057thepoint.com/RizzShow.Hear The Rizz Show daily on the radio at 105.7 The Point | Hubbard Radio in St. Louis, MO.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Moon kicks things off with the full report from the Cali Country Cruise, sailing from Long Beach to Ensenada, Mexico. The lineup included Tracy Lawrence, Gretchen Wilson, Jo Dee Messina, Chase Rice and plenty more, while Moon performed with Sullivan. There were some musical highs, some musical... let's call them learning opportunities... and the revelation that Jo Dee Messina may have discovered the ultimate cruise hack: perform before the ship leaves and then GET OFF THE BOAT.Gretchen Wilson, meanwhile, delivered one of Moon's highlights of the entire trip with a killer performance and band. Unfortunately, the actual cruise experience wasn't getting the same review. We're talking pricey Wi-Fi that barely worked, a balcony-room mix-up, limited excursion options, fake Cuban cigars, a stage built over the pool and a tiny backup pool populated by people who apparently had no interest in ever getting out.From there, this funny podcast turns into a tour of America's most overrated attractions. Four Corners gets roasted. Mount Rushmore gets called smaller than expected. Times Square takes a hit. The Las Vegas Strip lands at the top of the list. Lern also reveals she once got emotional seeing Chicago's Bean, proving once again that public art can be powerful when it looks like a gigantic piece of silver produce.A swimmer at Lake Tahoe reportedly gets attacked by an otter and requires 38 stitches, prompting Rafe to immediately begin defending the otter because apparently wildlife now has legal representation on The Rizzuto Show. Then there's a possible shark attack near the Massachusetts location associated with Jaws, followed by the deeply upsetting story of a woman waking from a dream about a mouse crawling toward her mouth... only to discover there was actually a BAT near her mouth.We also discover a Hawaiian shirt designed to confuse AI-powered surveillance cameras, which means Weird Al may have been preparing for the surveillance state this entire time.Missouri and Illinois get dragged into America's "worst vibes" rankings before the crew investigates which states hate each other the most. Missouri's answer? Kansas. Obviously. Centuries pass, civilizations rise and fall, and Missouri will apparently still find time to be annoyed by Kansas.Moon kicks things off with the glamorous realities of modern air travel after seemingly every flight on his trip decided that “on time” was more of a suggestion. A canceled connection, rerouting through Dallas, delays into Los Angeles and another delay getting back to St. Louis gave him plenty of time to catch up on movies. Unfortunately, that included The Mandalorian and Grogu, which gets a very enthusiastic C-minus review. Somewhere, a Star Wars fan just felt a disturbance in the Force.Then we discover that Americans apparently hit an energy wall around 2:48 in the afternoon, which explains basically every email you've ever received after lunch. Rafe's sleep schedule is wrecked, Lern is fighting afternoon cravings with hard-boiled eggs, and that leads to perhaps the most important culinary advice ever delivered on a funny podcast: if you've already hard-boiled the egg, you're halfway to a deviled egg.That discussion somehow turns into stale cereal confessions. Lern admits to eating old strawberry vanilla Chex after band practice while Rafe reveals that he knowingly ate stale Pops AND stale Golden Grahams. This is less a morning show and more four adults slowly admitting things that should probably stay between themselves and their pantries.Then it's time for Crap on Celebrities, where things get appropriately ridiculous. A woman is accused of stealing and crashing an ambulance outside an Avenged Sevenfold and Good Charlotte concert. Sevendust drummer Morgan Rose gets some love. Gibson is releasing an extremely limited Billy Gibbons “Pearly Gates” Les Paul. Sean Ono Lennon welcomes his first child, making John Lennon and Yoko Ono grandparents for the first time. There's also a Matthew Perry documentary on the way, more Tulsa King, and the crew tries to understand the enormous world of people watching other people play video games.Speaking of gaming, Grand Theft Auto gets everybody talking about Twitch, streaming communities, gameplay fandoms, and the strange realization that watching someone else play a game can become an entire entertainment ecosystem. Scott even admits he made “multiple dollars” streaming, so please respect the media mogul.Hollywood keeps the nonsense rolling with Emmy gift bags, Marvel's mysterious Secret Wars casting, Hamnet, and Ridley Scott reportedly having some thoughts about Paul Mescal and Gladiator 2. That opens the floodgates because Rafe and Moon are more than happy to discuss just how much they hated that movie. Sharks in the Coliseum are put on trial. The verdict is not favorable.There's also a live-action Street Fighter movie coming with a completely unhinged cast, including Jason Momoa, 50 Cent, Roman Reigns, Cody Rhodes, Eric André and more. Apparently somebody looked at the casting board and selected “yes.”Finally, Journey brings Steve Perry look-alike Hugo Valenti onstage during shows in Japan, causing some fans to apparently wonder whether the real Steve Perry had returned. The crew listens to the results, and that goes exactly as respectfully as longtime listeners would expect.Throw in birthdays, Terry Bradshaw, Keanu Reeves, Salma Hayek, Rafe's increasingly dangerous wordplay, and all the other nonsense that somehow qualifies as broadcasting, and you've got another funny podcast from The Rizzuto Show.Delayed flights. Deviled eggs. Stale Pops. Celebrity fails. Video games. Gladiator sharks. Fake Steve Perry.We accomplished nothing and covered everything.The Cali-Country Cruise7 most overrated US attractionsWoman attacked by otter while swimming says 'it felt like a human'Woman gets potential shark bite off Martha's Vineyard, in the town "Jaws" was filmedWhich US state has the worst vibes?See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.