Podcasts about Sota

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Les quatre cares de l'heroi: Un viatge barroc a l'ànima humana a CiutadellaEl festival de Joventuts Musicals de Ciutadella ha presentat una proposta que transcendeix el format convencional d'un concert de música antiga per convertir-se en un relat escènic profund sobre l'experiència humana. Sota el títol "Les quatre cares de l'heroi", el contratenor Manuel Ruiz i el clavecinista i director Darío Tamayo han dissenyat un recorregut que connecta el patrimoni barroc amb les inquietuds psicològiques del públic actual.Una visió integradora: De la Gestalt a l'òperaL'eix vertebrador d'aquest projecte no neix només de la musicologia, sinó de la psicologia humanista. La proposta es basa en una teoria del gestaltista Francisco Peñarrubia, que ofereix una visió integradora de la persona a través de quatre facetes de l'heroi connectades amb els elements de la natura. Els artistes han volgut traslladar aquesta visió terapèutica i personal a la producció operística barroca, on la figura de l'heroi és omnipresent.L'espectacle s'estructura com una òpera en miniatura en tres actes on un sol protagonista, encarnat per Ruiz, actua com a catalitzador de tota la història. Aquest viatge interior segueix l'esquema clàssic del mite: la sortida, el creixement i la tornada, explorant els estats psicològics i físics d'una figura que es revela com a profundament polièdrica.Un trencaclosques musical de l'afecteLa selecció del repertori ha estat un dels reptes més complexos de la producció. Per construir aquest relat coherent, s'han escollit peces de grans mestres com Händel, Scarlatti, Vivaldi i Muffat. Tanmateix, el criteri no ha estat només estètic; cada ària ha estat triada pel seu "afecte" —l'emoció específica que transmet— i per la connexió emocional que el cantant pot establir amb el personatge per transmetre-la al públic.Darío Tamayo destaca que, a més de la narrativa, hi ha un treball minuciós en la cohesió tonal i harmònica per garantir un encadenament fluid entre les peces. El resultat és una proposta semiescenificada on el pes de l'acció recau completament sobre el contratenor, una responsabilitat que obliga a una identificació total amb el text i la música.La veu del contratenor: Més enllà del clixéL'elecció d'un contratenor per a aquest programa no és casual. Manuel Ruiz destaca que el patrimoni musical escrit per a veus masculines agudes (com els antics castrati) està vivint una època daurada de recuperació. Ruiz, format a Londres —on la tradició de l'alto masculí és molt comuna en els cors eclesiàstics—, celebra la normalització d'aquesta tessitura.Durant l'entrevista, el cantant reflexiona sobre com ha canviat la percepció de la veu de contratenor en les darreres dues dècades. Si bé fa vint anys existien prejudicis que vinculaven el cant agut amb la sexualitat de l'intèrpret, avui dia es viu amb molta més llibertat. "Canto com puc, la meva naturalesa és aquesta veu", afirma Ruiz, subratllant que l'art del cant s'ha deslligat finalment d'etiquetes personals per centrar-se en la qualitat artística.Logística i patrimoni a MenorcaPortar una producció d'aquestes característiques a Ciutadella implica també un esforç logístic notable. El projecte arriba avalat per l'associació de festivals FEClàssica, que facilita la circulació de propostes d'alt nivell entre illes i territoris. A Menorca, la producció ha comptat amb la col·laboració de Joventuts Musicals de Maó per al transport del clavicèmbal, un instrument delicat que requereix un manteniment i afinació específics in situ.L'escenari escollit, l'Església del Socors, no és només un refugi climàtic per a les nits d'estiu, sinó un espai amb una acústica magnífica que potencia la sonoritat de la música antiga. Amb aquesta combinació de rigor històric, profunditat psicològica i excel·lència vocal, "Les quatre cares de l'heroi" es postula com una de les cites més singulars i transformadores de la temporada musical menorquina.

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This Week on the Toy Power Podcast; we dive back into our regular News Segment - with quite a bit to cover! First off, a recap from Episode 1 (of 4) from Trent's latest Lego Masters Bricktacula Event! Then, an exciting announcement from Cards & Collectables season 2 - now with an official release date! A New 4-Armed Beast is announced for the MOTU Origins line; who is hyped for this?! New Movie MOTU characters announced plus some awesome TMNT plus Ghostbusters multi-packs from Mondo. S7 Silverhawks keep on delivering more characters; & Blokees tease an Absolute Batman. McFarlane announces more Batman related characters; then Robosen showcase the most Superior Decepticon of them all! The Cross-Over nobody asked for? -Transformers X Scooby Doo offer. Sometimes you think that some modern toys can't do any better; but somehow, SH Figuarts said "Hold My Beer!" Lego showcase the first round of Pokémon Mini-Figures plus in scale Pokémon Characters too; all in a very nice looking Build. Then Ben tests the lads with the return of The Quiz! Is it too hard? How many did you know? Support the show: http://patreon.com/toypowerpodcastSee omnystudio.com/listener for privacy information.

Hey yall, Alex here, Huge thanks to Wolfram for running point on the live show this week. Didn't have tons of time to edit this one, so please skip the first 10 minutes, it's a loop of our new “wait for the live show to start” vid, that I build with HyperFrames and can't wait to tell you about, next week! Today it seems that OpenSource is biting back, with Kimi K3 getting released just a short while after Thinking Machines (Thinky) has released Inkling, their near 1T model. I'm attaching the TL;DR and timestamps for the full show (my AI agents, yes even Fable and Sol are not a match yet at editing down hehe) and I'll spare you the long Fable recap (please do let me know in the comments if you were expecting it) 0:00 – Intro, Alex on vacation, TLDR overview11:35 – TLDR: Thinking Machines, open source, OpenAI news12:34 – Banter: impressions of Sol/Codex, over-verification behavior37:22 – TLDR restart & detailed breakdown48:40 – Open Source AI section begins (Bonsai/Prism ML, Kimi K3)58:42 – Inkling (Thinking Machines) deep dive & 3D model visualization1:10:33 – Kimi K3 discussion & demo comparisons1:27:02 – Frontier Labs: AGI governance framework discussion (Demis Hassabis essay)1:47:04 – Grok Build CLI data leak & OpenAI file deletion incident2:02:15 – This Week's Buzz: Wolfbench results on GPT 5.6 Sol/Terra/Luna2:09:52 – Closing remarks & sign-offThe one-minute version: Mira Murati's Thinking Machines released Inkling, a 975B parameter open-weights MoE under Apache 2.0, the top US open-weights model right now. Moonshot's Kimi K3 went from rumor to released API during the show, confirmed at 2.8 trillion parameters with open weights promised within days, and it's already topping early arena boards. PrismML's Bonsai 27B squeezes a full 27B model into 3.9 gigabytes so it runs on a phone. Codex and ChatGPT Work blew past 9 million users, OpenAI confirmed and explained the Sol file-deletion bug (back up your machines, folks), and xAI's Grok Build CLI got caught uploading entire private repos before open-sourcing the whole thing in response. Plus Wolfram's fresh Wolfbench numbers on the GPT-5.6 family in This Week's Buzz

Metal·lúrgica Pons Lim: Un segle de mestratge industrial al cor d'AlaiorEn el paisatge urbà d'Alaior, un poble on la història i la tradició s'entrellacen a cada carreró, batega el cor d'una empresa que ha sabut desafiar el pas del temps. Metal·lúrgica Pons Lim celebra enguany el seu centenari, una fita que no només representa la supervivència d'un negoci familiar, sinó l'evolució d'una visió que va néixer en un petit taller i s'ha acabat projectant arreu del món. El que va començar l'any 1923 com una modesta producció d'accessoris de plata ha esdevingut avui un referent indiscutible en la fabricació de frontisses i ferratges d'alta precisió.De la plata al ferro: Cent anys d'evolució constantEls orígens d'aquesta aventura industrial es remunten a la figura de Cristòfol Pons Pons, el besavi de l'actual generació, qui ja entre 1923 i 1924 movia la maquinària d'un taller situat als horts del nucli antic d'Alaior. En aquells temps, l'activitat principal se centrava en la bijuteria, concretament en la confecció de monaders de malla de plata. Tanmateix, la capacitat d'adaptació ha estat des de sempre l'ADN de la família Pons. Amb el relleu dels fills d'en Cristòfol, n'Estanislao i en Toni Pons Carreres, l'empresa va fer el salt decisiu cap a la metal·lúrgia, especialitzant-se en les frontisses.Aquesta transició no va ser només un canvi de material, sinó una aposta per la durabilitat i la utilitat industrial. La transmissió del coneixement ha fluït de generació en generació com un llegat sagrat: dels fundadors a la tercera generació encapçalada per Bernardo Pons Casals, i d'aquest als seus fills, en Bernat i la seva germana, que avui lideren l'empresa amb la mateixa passió que els seus avantpassats.L'aventura internacional: El món com a mercat des d'AlaiorSi hi ha un moment clau que explica per què Metal·lúrgica Pons Lim continua dempeus després d'un segle, aquest se situa als anys 70. Sota el timó de Bernardo Pons Casals, l'empresa va prendre una decisió valenta i pionera: obrir-se a l'exportació. En una època de crisis nacionals severes, la sortida als mercats internacionals va actuar com un autèntic salvavides. Les primeres fires a Alemanya a finals dels 70, tot i ser precàries i amb estands compartits, van sembrar les llavors d'una xarxa comercial que avui abraça països com França, Itàlia, Dinamarca, Holanda i fins i tot mercats més llunyans com Dubai, Rússia o Sud-amèrica.L'expansió ha estat tan profunda que Bernat recorda una anècdota reveladora: fa uns 30 anys, en una fira a la Xina, el seu pare va reconèixer una frontissa en una vitrina i va exclamar: "Aquesta frontissa és nostra". Era la prova irrefutable que el producte fet a Menorca ja viatjava més ràpid que els seus propis creadors. Actualment, l'empresa no només ven ferratges estàndard, sinó que s'ha especialitzat en sectors tan exigents com la restauració de creuers a Itàlia o la fabricació de peces a mida segons plànols específics per a dissenys exclusius.Innovació i artesania: El futur de la manufactura menorquinaArribar als cent anys no és fruit de la casualitat, sinó d'una millora constant dels processos de fabricació. La quarta generació ha apostat per la modernització de la maquinària i l'automatització. L'objectiu és clar: ser competitius sense perdre l'essència. Si abans es necessitaven cinc operacions per fabricar una peça, avui s'intenta reduir a dues o tres mitjançant l'ús d'utillatges progressius. Aquesta eficiència permet a l'empresa competir de tu a tu amb fàbriques de la península o de qualsevol part d'Europa, superant fins i tot el sobrecost que implica el transport des d'una illa.Però més enllà de la tecnologia, el valor diferencial de Metal·lúrgica Pons Lim és la seva capacitat de no dir mai "no" a un repte. Mentre altres es limiten a comercialitzar, ells fabriquen, experimenten i creen mostres per a projectes complexos que la competència sovint rebutja. **"Si som a Menorca és perquè ho duim dins"**, afirma en Bernat amb orgull, refermant que el compromís amb Alaior i amb la qualitat artesanal és el que realment els fa imbatibles en un mercat global tan convuls. Amb la mirada posada en el futur, l'empresa continua polint el seu llegat, peça a peça, per seguir essent el millor ambaixador de la indústria menorquina durant molts anys més.

In this episode we meet Becky Spiceland N4BKY, Mike Spiceland N4FFF and Barb Asuroglu WB2CBA the amateur radio operators behind the Pebble radio project.  The Pebble is a small 20m HF QRP transciever.  Becky and Mike are avid portable radio operators and wanted a low cost radio that would be great for hams doing POTA and SOTA.  They teamed up with Barb, who led the development of the Pebble radio.  Met the team and their journey from an idea to a working radio.    

A Lloret, avui mateix hi ha una nova oportunitat per donar sang. El bus del Banc de Sang serà a la Plaça de la Vila de cinc de la tarda a nou del vespre. La campanya continuarà dijous, en horari de matí i tarda al Teatre, i divendres a la tarda al Centre Cívic del Rieral. Sota el lema «Perquè la necessitat no fa vacances. Dona sang«, el Banc de Sang i Teixits fa una crida a la ciutadania perquè participi en la campanya d’estiu. I és que, tot i que la necessitat de sang es manté durant tot l’any, les reserves acostumen a baixar prop d’un 20% durant els mesos d’estiu, quan disminueixen les donacions. Ens en dóna més informació Mireia Blanco, representant del Banc de Sang i Teixits. «A l’estiu baixen les donacions pel canvi d’hàbits, per la calor i perquè la gent fa vacances i diu, bé, ja ho faré quan torni».Mireia Blanco En total, seran tres jornades amb horaris diferents per facilitar la participació dels lloretencs. També hi podran donar sang els visitants, sempre que siguin majors d’edat i entenguin el català, el castellà o l’anglès. Abans de cada donació es farà una analítica de la sang, i al cap d’uns dies cada donant podrà consultar-ne els resultats a l’àrea privada del web del Banc de Sang. En cas que es detecti algun valor fora dels paràmetres habituals, el mateix Banc es posarà en contacte amb la persona. Des del Banc de Sang animen a tothom a donar sang i a menjar bé i mantenir-se ben hidratat abans de fer-ho. Poden donar sang les persones majors d’edat, de fins a 70 anys, que pesin més de 50 quilos, estiguin en bon estat de salut, no estiguin embarassades i presentin un document oficial amb fotografia. «M’agradaria animar a la gent a que vingui a donar sang, és un petit gran gest solidari que salva vides». Mireia Blanco Recordem els horaris de la campanya a Lloret: avui, de cinc de la tarda a nou del vespre, al bus del Banc de Sang situat a la Plaça de la Vila; dijous, matí i tarda, al Teatre de Lloret; i divendres, a la tarda, al Centre Cívic del Rieral.

We go live on Facebook to celegrate anotehr milestone episode and without burying the lead, there is chaos. And maybe a Lord of Destruction or two. We go card-based for this ep and unboxed a sealed pack of Batman Returns cards from 1992. Can we get the full set? Who has the best costume? Who had the best comment? Is Scoty over-worked and under paid? If the audio sounds odd then check out the mid on Facebook to see our faces fit for radio! Thanks to all our wonderful Patreons and longtime supporters - we couldn't have done this without you! Support the show: http://patreon.com/toypowerpodcastSee omnystudio.com/listener for privacy information.

Trumpin liittolainen ja Suomen ystävä Lindsey Graham kuoli yllättäen. Mitch McConnell ei - ehkä? Graham Platner ajoi demokraatit pahaan paikkaan. Miksi Iranissa taas taistellaan?

GGROSSY guestmix: 01. Intro 02. GGrossy - Beware The Shadows 03. GGrossy - Cold Blood 04. GGrossy - Anomaly 05. GGrossy - Blaze Break 06. GGrossy - Outside 07. GGrossy - No Turning Back 08. GGrossy - Brave 09. GGrossy - Signal Code 10. GGrossy - Elephant Stomp 11. GGrossy - Heavy 12. GGrossy - Do My Thing 13. GGrossy - Push It 14. GGrossy - Hold It 15. GGrossy - First Contact 16. GGrossy - Reload 17. GGrossy - Toxic 18. GGrossy - Take A Chance 19. GGrossy - Dance With Me 20. GGrossy - Out Of Tune Flute 21. GGrossy - Want It 22. GGrossy - Bass Line 23. GGrossy - Never Back Down 24. GGrossy - Spirit Speaks 25. GGrossy, M.L.D - Soundz Crazy 26. GGrossy - Destroy 27. GGrossy - Understand 28. GGrossy - Spend The Night 29. GGrossy - Face Fuckts 30. GGrossy - Crazy Enough 31. GGrossy - Spinback 32. GGrossy - Say What You Want GVOZD vibez: 01. Koven - hEarTbeAt 02. Clsm, Foor, Kora Wang - Sometimes 03. Pantherium - Hold On 04. Special Guests! - In The Dark 05. Gntlman & Chillhomers - Rise 06. 5x, Reconnect, Jess Robyn - Otherside 07. Method, Diandra Faye - Dopamine 08. 10xx - I Know 09. Irontype - Want You 10. 1991, Luude - All We Do Is Dance 11. Kanine - Wide Awake 12. Gaja - Think About It 13. Lexed - How (we doin' it) 14. Lixed - Levitate 15. Blackman - BAD GIRL 16. Krasia - Body Fall 17. Plago - Basscharger 18. State Of Disorder - Addictive 19. Dread Mc, Maedm - PSYCHO 20. Sub Cat - Orbit 21. Event Horizon, Kaizah, The Landlord, Madrush Mc - Warning Calling 22. Bad Syntax - Database 23. Alpha Rosa - Caught Up 24. Moekel - Sun Dips Low 25. Phasebound - Smashbro 26. Parallel - Filter Freak 27. Macoumba - Original 28. Rift - Mercury 29. Molecular - My Way 30. Cutworx - Stubborn 31. Milo - Roughest 32. Fabric8 - Fake Gods V.I.P 33. Visulant - Gangster 34. Celestial & Cinet - Finger Trace 35. Dlr - From The Inside 36. Need For Mirrors - Roly Poly 37. Clipz, Shy Fx, Vybz Kartel - Just Love 38. DJ Die - New Way 39. Sub Killaz - No Better Than This 40. Bou, Toxinate - Bounce (Kefrennnn Remix) 41. Bou, Sota, B Live - Bodybag 42. Benny Page, Mc Sye - Dubplate Secrets 43. Benny L, Shimon - Sharks VIP 44. Solix, Bunnerz - Risk It All 45. Higher Sector, Maddy V - Welcome To The Trip 46. Nu Elementz & Wavysof - Feel It Now 47. Kenna - Stop That feat. Gifta 48. Flint & Figure - See The Light 49. Syphon, Qua Rush, Wyr - Shelby Moves (Qua Rush Remix) 50. Veak - We All Need That Funk 51. Jody Sternberg - Shine (Zero T Remix) 52. Catching Cairo, Turno - Fingerprints 53. Jaise - Strange Ways 54. Justin Hawkes & Audioscribe - Wayward 55. Jflux - Stingwing 56. Syran - OSG 57. Logistics - Chant (Lens & Unglued Remix) 58. Mish - Modern Jungle 59. Kara & DJ Millz - Alley Cat 60. Encryption - Jungle Insanity 61. P Money, Whiney - New Life 62. Mage - Let Me Love 63. Grace Barton - Loved By You 64. Bcee, Javeon - What You're Missing 65. Cyber Posix - Rooftop Jumping 66. Leaf Dog - Hear To Remind You (Shiny Radio Bootleg) 67. Etherwood, Lottie Jones - Roam 68. Hiraeth - Magic Harp 69. Mockbravado - Blue Notes & Basslines 70. Lsb - Without You 71. Hyrah - Too Late 72. Keylo - Take My Hand

GGROSSY guestmix: 01. Intro 02. GGrossy - Beware The Shadows 03. GGrossy - Cold Blood 04. GGrossy - Anomaly 05. GGrossy - Blaze Break 06. GGrossy - Outside 07. GGrossy - No Turning Back 08. GGrossy - Brave 09. GGrossy - Signal Code 10. GGrossy - Elephant Stomp 11. GGrossy - Heavy 12. GGrossy - Do My Thing 13. GGrossy - Push It 14. GGrossy - Hold It 15. GGrossy - First Contact 16. GGrossy - Reload 17. GGrossy - Toxic 18. GGrossy - Take A Chance 19. GGrossy - Dance With Me 20. GGrossy - Out Of Tune Flute 21. GGrossy - Want It 22. GGrossy - Bass Line 23. GGrossy - Never Back Down 24. GGrossy - Spirit Speaks 25. GGrossy, M.L.D - Soundz Crazy 26. GGrossy - Destroy 27. GGrossy - Understand 28. GGrossy - Spend The Night 29. GGrossy - Face Fuckts 30. GGrossy - Crazy Enough 31. GGrossy - Spinback 32. GGrossy - Say What You Want GVOZD vibez: 01. Koven - hEarTbeAt 02. Clsm, Foor, Kora Wang - Sometimes 03. Pantherium - Hold On 04. Special Guests! - In The Dark 05. Gntlman & Chillhomers - Rise 06. 5x, Reconnect, Jess Robyn - Otherside 07. Method, Diandra Faye - Dopamine 08. 10xx - I Know 09. Irontype - Want You 10. 1991, Luude - All We Do Is Dance 11. Kanine - Wide Awake 12. Gaja - Think About It 13. Lexed - How (we doin' it) 14. Lixed - Levitate 15. Blackman - BAD GIRL 16. Krasia - Body Fall 17. Plago - Basscharger 18. State Of Disorder - Addictive 19. Dread Mc, Maedm - PSYCHO 20. Sub Cat - Orbit 21. Event Horizon, Kaizah, The Landlord, Madrush Mc - Warning Calling 22. Bad Syntax - Database 23. Alpha Rosa - Caught Up 24. Moekel - Sun Dips Low 25. Phasebound - Smashbro 26. Parallel - Filter Freak 27. Macoumba - Original 28. Rift - Mercury 29. Molecular - My Way 30. Cutworx - Stubborn 31. Milo - Roughest 32. Fabric8 - Fake Gods V.I.P 33. Visulant - Gangster 34. Celestial & Cinet - Finger Trace 35. Dlr - From The Inside 36. Need For Mirrors - Roly Poly 37. Clipz, Shy Fx, Vybz Kartel - Just Love 38. DJ Die - New Way 39. Sub Killaz - No Better Than This 40. Bou, Toxinate - Bounce (Kefrennnn Remix) 41. Bou, Sota, B Live - Bodybag 42. Benny Page, Mc Sye - Dubplate Secrets 43. Benny L, Shimon - Sharks VIP 44. Solix, Bunnerz - Risk It All 45. Higher Sector, Maddy V - Welcome To The Trip 46. Nu Elementz & Wavysof - Feel It Now 47. Kenna - Stop That feat. Gifta 48. Flint & Figure - See The Light 49. Syphon, Qua Rush, Wyr - Shelby Moves (Qua Rush Remix) 50. Veak - We All Need That Funk 51. Jody Sternberg - Shine (Zero T Remix) 52. Catching Cairo, Turno - Fingerprints 53. Jaise - Strange Ways 54. Justin Hawkes & Audioscribe - Wayward 55. Jflux - Stingwing 56. Syran - OSG 57. Logistics - Chant (Lens & Unglued Remix) 58. Mish - Modern Jungle 59. Kara & DJ Millz - Alley Cat 60. Encryption - Jungle Insanity 61. P Money, Whiney - New Life 62. Mage - Let Me Love 63. Grace Barton - Loved By You 64. Bcee, Javeon - What You're Missing 65. Cyber Posix - Rooftop Jumping 66. Leaf Dog - Hear To Remind You (Shiny Radio Bootleg) 67. Etherwood, Lottie Jones - Roam 68. Hiraeth - Magic Harp 69. Mockbravado - Blue Notes & Basslines 70. Lsb - Without You 71. Hyrah - Too Late 72. Keylo - Take My Hand

Hey everyone, Alex here

Naton kaksipäiväinen huippukokous päättyi eilen illalla Turkissa. Nato-erikoistoimittaja Maria Stenroos kertoo Ankarasta, mitä kokouksesta jäi käteen. Yhdysvallat on iskenyt jälleen rajusti Irania vastaan, ja presidentti Donald Trumpin mukaan aselepo on ohi. Miten pahaan solmuun tilanne ajaa maiden väliset neuvottelut? Vieraina juuri Teheranista palannut Ylen Lähi-idän erikoistoimittaja Antti Kuronen ja Lähi-idän tutkija Susanne Dahlgren. Euroopan parlamentti äänesti tiistaina lentomatkustajien oikeuksien parantamisen puolesta. Mikä muuttuu? Haastattelussa oikeusministeriön lainsäädäntöneuvos Johanna Isoaho. Suomen uimaopetus- ja hengenpelastusliiton ennakkotietojen mukaan kesäkuun hukkumismäärä kaksinkertaistui viime vuodesta. Miten vaaratilanteilta voidaan välttyä ja miten suomalaisten uimataitoa voidaan kohentaa? Keskustelemassa SUHin vesiturvallisuusasiantuntija Anne Hiltunen ja Kuntaliiton liikunnan ja nuorisoasioiden erityisasiantuntija Elsi Mantere. Seinäjoen Tangomarkkinoilla juhlitaan jälleen dramaattisuudestaan ja rytmikkyydestään tunnetun tangomusiikin ilosanomaa. Tangomarkkinoiden toimitusjohtaja Pasi Ojala kertoo, mitä vuonna on luvassa. Tuottaja Ella Haura. Juontaja Anssi Väisänen. Toimittajina Satu Heikkilä ja Ilkka Lahti.

La pel·lícula Sorda es projectarà aquest dimecres al cicle de Cinema a la Fresca. La localització d'aquesta setmana seran els Jardins de la Pau, al parc de Can Xardó. Sota la direcció d'Eva Libertad, la pel·lícula narra la història de l'Ángela, una dona sorda, que tindrà un fill amb l'Héctor. L'embaràs fa aflorar les seves pors davant de la maternitat i sobre com podrà comunicar-se amb la seva filla. L'arribada de la nena genera una crisi a la parella i porta l'Àngela a afrontar la criança en un món que no està fet per a ella. La regidora de Cultura i Festes, Vereda López, ressalta la reflexió que hi ha al darrere del film, que és «emocionant, valent i profundament humà». «És una història que ens parla d’amor, de comunicació, d’inclusió i de la importància d’entendre que hi ha moltes maneres de viure; ens convida a posar-nos a la pell dels altres, a trencar prejudicis i a valorar la riquesa de la diversitat»Vereda López Protagonitzada per Miriam Garlo i Álvaro Cervantes, Sorda ha estat premiada en diferents ocasions. Entre altres, ha guanyat com a Millor pel·lícula, Millor actriu, Millor Actor i Premi del Públic al Festival de Màlaga. A més, va rebre set nominacions als Premis Goya, entre les quals a Millor pel·lícula. La projecció de Sorda es farà demà dimecres, a les deu de la nit, als Jardins de la Pau, al parc de Can Xardó. Com sempre, l'entrada és gratuïta.

In this roundtable episode, Dan KC7MSU, Brian W7JET, and I debrief on Field Day, touch on the 13 Colonies special event, and I share highlights from a three day SOTA excursion with my wife W7NRS just before Field Day.Superstition Amateur Radio Club: https://superstitionarc.org/Morsle CW Practice: https://morsle.fun/Join us as we explore how you can get involved in portable radio, QRP, and more in this episode of the All Portable Discussion Zone (AP/DZ). Every aspect of portable operations is covered in this biweekly podcast, from news and gear to achievements, the workbench, contests, awards, and beyond.**SolderSmoke DISCORD INVITE**: https://discord.gg/GYVRZSBVFCConnect with us:* Discord: https://discord.gg/WVE3vVveWU* YouTube: https://www.youtube.com/c/redsummitrf* TikTok: @redsummitrf* X (formerly Twitter): @NJ7V_Support the channel:* Buy us a Coke: https://www.buymeacoffee.com/RedSummitRF* Red Summit RF Amazon Storefront: https://www.amazon.com/shop/redsummitrf

This Week on the Toy Power Podcast; we have Special Guest: Sean in the Studio to chat all things DC related, with a big focus on Batman & the wider Justice League themselves. Kicking things off, we have our routine Get-To-Know-You questions. Then with a Fantastic recent visit to see Sean's Awesome Collection in person; we highlight a few things to chat towards; including the very controversial & quickly banned Jarts Toy from the early 1960's. Then we get into a discussion about Batman. Everything from Batman 66' & why that particular TV Run is so special to Sean. Highlights about the Batmobile & it's Origins; all the way covering the dynamic characters in the Show! We next pivot across to the Ground-Breaking Toy-line that was Kenner Super Powers. With Sean's expertise about the line, the variants & waxing on just why this particular Toyline out-shines many other interpretations of Super Heroes in Toy form. Then backing up that Super Powers discussion; we entertain another segment of The Team! This round focusing purely on the Heroes from the Kenner Super Powers Run! (with a purpose adjustment to the line-up, so that some certain characters don't get all the Votes!) - Who would you have picked?? Enjoy this fun filled ep! In this episode we promote Sean's good friend Glenn Pluck - whom crates Fantastic Acrylic Cases for your Toys & Collectables. Be sure to check out his Business site: Ultimate Figure Protection on all the social sites or directly via his Website: www.ultimatefigureprotection.com Milestone Episode #450 will be Broadcast LIVE on Facebook & potentially other streams, on Saturday July 11th @8pm (Adelaide, South Australian time). Tune in for Visual Fun, Interaction & Give Aways! Support the show: http://patreon.com/toypowerpodcastSee omnystudio.com/listener for privacy information.

Väkivaltaiset kriisit rapauttavat ihmiskunnan kulttuuriperintöä. Toisaalta yhteiset kokemukset ja muistot auttavat selviytymään vaikeina aikoina. Maailmanpolitiikan arkipäivää-ohjelmassa tarkastellaan tällä viikolla sitä, miten kulttuuria voidaan suojella sodan tuhoilta. Ukrainassa apuna on digitalisaatio. Lähi-Idässä tuhottujen kohteiden jälleenrakennukseen ja entisöintiin yritetään päästä mahdollisimman pian kriisin laannuttua. Epävakaat ajat lisäävät riskejä kulttuurikohteisiin myös vakaissa maissa. Mielipide halutaan esiin mahdollisimman näyttävästi esimerkiksi värjäämällä monumentteja tai tuhrimalla taideteoksia. Kuulemme, miten turvajärjestelyjä hoidetaan Oslon kuulussa Munck-museossa. Maailmanpolitiikan arkipäivää -ohjelman toimittavat Maxim Fedorov ja Erja Tuomaala. . Äänitarkkailijana on Juha Hjelm. Tunnusmusiikki: Petri Alanko, kuva: Tuuli Laukkanen/Yle.

AI is now uncovering and fixing thousands of hidden software bugs faster than humans can keep up, but not everyone is playing by the rules. Find out how state-sponsored attackers and careless disclosures are turning the cybersecurity playbook upside down. Win10's popularity forces another year of free updates. CISA directs all federal agencies to update their UniFi OS devices. CISA gave federal agencies "the weekend" to update Cisco devices. Australia is disturbed by a deeply compromised infrastructure provider. OpenAI introduces Daybreak-powered "Patch the Planet" initiative. Meta's employee monitoring-for-AI-training backfired badly. Script Kiddies figure out how to use AI to find vulnerabilities. AI improves with "looping", "repeating" or "iterating". A wonderful story about Kevin Mitnick. Serious hackers mistakenly left a server directory accessible Show Notes - https://www.grc.com/sn/SN-1085-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit hoxhunt.com/securitynow cohesity.com/Resilience zscaler.com/security

AI is now uncovering and fixing thousands of hidden software bugs faster than humans can keep up, but not everyone is playing by the rules. Find out how state-sponsored attackers and careless disclosures are turning the cybersecurity playbook upside down. Win10's popularity forces another year of free updates. CISA directs all federal agencies to update their UniFi OS devices. CISA gave federal agencies "the weekend" to update Cisco devices. Australia is disturbed by a deeply compromised infrastructure provider. OpenAI introduces Daybreak-powered "Patch the Planet" initiative. Meta's employee monitoring-for-AI-training backfired badly. Script Kiddies figure out how to use AI to find vulnerabilities. AI improves with "looping", "repeating" or "iterating". A wonderful story about Kevin Mitnick. Serious hackers mistakenly left a server directory accessible Show Notes - https://www.grc.com/sn/SN-1085-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT XBOW.com hoxhunt.com/securitynow cohesity.com/Resilience zscaler.com/security

AI is now uncovering and fixing thousands of hidden software bugs faster than humans can keep up, but not everyone is playing by the rules. Find out how state-sponsored attackers and careless disclosures are turning the cybersecurity playbook upside down. Win10's popularity forces another year of free updates. CISA directs all federal agencies to update their UniFi OS devices. CISA gave federal agencies "the weekend" to update Cisco devices. Australia is disturbed by a deeply compromised infrastructure provider. OpenAI introduces Daybreak-powered "Patch the Planet" initiative. Meta's employee monitoring-for-AI-training backfired badly. Script Kiddies figure out how to use AI to find vulnerabilities. AI improves with "looping", "repeating" or "iterating". A wonderful story about Kevin Mitnick. Serious hackers mistakenly left a server directory accessible Show Notes - https://www.grc.com/sn/SN-1085-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT XBOW.com hoxhunt.com/securitynow cohesity.com/Resilience zscaler.com/security

AI is now uncovering and fixing thousands of hidden software bugs faster than humans can keep up, but not everyone is playing by the rules. Find out how state-sponsored attackers and careless disclosures are turning the cybersecurity playbook upside down. Win10's popularity forces another year of free updates. CISA directs all federal agencies to update their UniFi OS devices. CISA gave federal agencies "the weekend" to update Cisco devices. Australia is disturbed by a deeply compromised infrastructure provider. OpenAI introduces Daybreak-powered "Patch the Planet" initiative. Meta's employee monitoring-for-AI-training backfired badly. Script Kiddies figure out how to use AI to find vulnerabilities. AI improves with "looping", "repeating" or "iterating". A wonderful story about Kevin Mitnick. Serious hackers mistakenly left a server directory accessible Show Notes - https://www.grc.com/sn/SN-1085-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT XBOW.com hoxhunt.com/securitynow cohesity.com/Resilience zscaler.com/security

AI is now uncovering and fixing thousands of hidden software bugs faster than humans can keep up, but not everyone is playing by the rules. Find out how state-sponsored attackers and careless disclosures are turning the cybersecurity playbook upside down. Win10's popularity forces another year of free updates. CISA directs all federal agencies to update their UniFi OS devices. CISA gave federal agencies "the weekend" to update Cisco devices. Australia is disturbed by a deeply compromised infrastructure provider. OpenAI introduces Daybreak-powered "Patch the Planet" initiative. Meta's employee monitoring-for-AI-training backfired badly. Script Kiddies figure out how to use AI to find vulnerabilities. AI improves with "looping", "repeating" or "iterating". A wonderful story about Kevin Mitnick. Serious hackers mistakenly left a server directory accessible Show Notes - https://www.grc.com/sn/SN-1085-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT XBOW.com hoxhunt.com/securitynow cohesity.com/Resilience zscaler.com/security

AI is now uncovering and fixing thousands of hidden software bugs faster than humans can keep up, but not everyone is playing by the rules. Find out how state-sponsored attackers and careless disclosures are turning the cybersecurity playbook upside down. Win10's popularity forces another year of free updates. CISA directs all federal agencies to update their UniFi OS devices. CISA gave federal agencies "the weekend" to update Cisco devices. Australia is disturbed by a deeply compromised infrastructure provider. OpenAI introduces Daybreak-powered "Patch the Planet" initiative. Meta's employee monitoring-for-AI-training backfired badly. Script Kiddies figure out how to use AI to find vulnerabilities. AI improves with "looping", "repeating" or "iterating". A wonderful story about Kevin Mitnick. Serious hackers mistakenly left a server directory accessible Show Notes - https://www.grc.com/sn/SN-1085-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT XBOW.com hoxhunt.com/securitynow cohesity.com/Resilience zscaler.com/security

AI is now uncovering and fixing thousands of hidden software bugs faster than humans can keep up, but not everyone is playing by the rules. Find out how state-sponsored attackers and careless disclosures are turning the cybersecurity playbook upside down. Win10's popularity forces another year of free updates. CISA directs all federal agencies to update their UniFi OS devices. CISA gave federal agencies "the weekend" to update Cisco devices. Australia is disturbed by a deeply compromised infrastructure provider. OpenAI introduces Daybreak-powered "Patch the Planet" initiative. Meta's employee monitoring-for-AI-training backfired badly. Script Kiddies figure out how to use AI to find vulnerabilities. AI improves with "looping", "repeating" or "iterating". A wonderful story about Kevin Mitnick. Serious hackers mistakenly left a server directory accessible Show Notes - https://www.grc.com/sn/SN-1085-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT XBOW.com hoxhunt.com/securitynow cohesity.com/Resilience zscaler.com/security

AI is now uncovering and fixing thousands of hidden software bugs faster than humans can keep up, but not everyone is playing by the rules. Find out how state-sponsored attackers and careless disclosures are turning the cybersecurity playbook upside down. Win10's popularity forces another year of free updates. CISA directs all federal agencies to update their UniFi OS devices. CISA gave federal agencies "the weekend" to update Cisco devices. Australia is disturbed by a deeply compromised infrastructure provider. OpenAI introduces Daybreak-powered "Patch the Planet" initiative. Meta's employee monitoring-for-AI-training backfired badly. Script Kiddies figure out how to use AI to find vulnerabilities. AI improves with "looping", "repeating" or "iterating". A wonderful story about Kevin Mitnick. Serious hackers mistakenly left a server directory accessible Show Notes - https://www.grc.com/sn/SN-1085-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT XBOW.com hoxhunt.com/securitynow cohesity.com/Resilience zscaler.com/security

Apple i Microsoft pugen els preus. En Xose Anton ens ho explica perquè ho entenguem. Novetats al reglament de trànsit a partir de l'octubre. En Jep Cabestany hi està molt en contra. Una onada de calor recorre Europa. Hem tingut accés a un reportatge de la BBC sobre el tema.

This Week on the Toy Power Podcast; we have HEAPS of awesome Pop Culture News & Announcements to cover!! But at the very Top of our list, is the extremely exciting announcement that Trent is a contestant again on Lego Masters Australia! This Bricktacular Event will be held over four episodes & he is a part of a team of three - consisting of himself, Alex & Felix! We wish him good-luck in advance! Then onto Toy News with McFarlane Super Powers Officially revealing their wave 14 line-up; plus One:12 Collective announce an awesome Vintage style Punisher figure with ALL the Guns! Another Godzilla figure from Super7 & so many G.I. Joe figures, its hard to keep up with! Star Wars Black Series 'Expands their Universe', plus a neat addition to the Archie Comic Book Figure line-up that rounds out the set of Mighty Mutanimals. A Blind-Box offer of TMNT figs from Playmates that doesn't impress us much; but Batman media announcements & release dates certainly has us hyped indeed. Then we round out the ep with a Classic segment of Reading, Watching, Playing. Ben praises The Absolute Batman Comics, Frank appreciates the Supergirl film, Scot is impressed by the 'Obsessions' film; & Trent is flying the Aussie Flag for the World Cup Soccer! All this & More! Enjoy!! Milestone Episode #450 will be broadcsast LIVE on Facebook & potentially other streams, on Saturday July 11th @8pm (Adelaide, South Australian time). Tune in for Visual Fun, Interaction & Give Aways! Support the show: http://patreon.com/toypowerpodcastSee omnystudio.com/listener for privacy information.

Saurabh Bhasin N6RUN has climbed the highest peak on every continent, finished five Ironmans, runs mountain ultras, and is active in SOTA.In this episode we talk about how mountaineering and ham radio collided for Saurabh, his Everest summit on May 14, 2025, and his six month attempt to get a Nepalese amateur radio license that never panned out. If you are into SOTA, endurance sports, or both at the highest level, this one is for you.Saurabh's Instagram: @mtn_runrJoin us as we explore how you can get involved in portable radio, QRP, and more in this episode of the All Portable Discussion Zone (AP/DZ). Every aspect of portable operations is covered in this biweekly podcast, from news and gear to achievements, the workbench, contests, awards, and beyond.**SolderSmoke DISCORD INVITE**: https://discord.gg/GYVRZSBVFCConnect with us:* Discord: https://discord.gg/WVE3vVveWU* YouTube: https://www.youtube.com/c/redsummitrf* TikTok: @redsummitrf* X (formerly Twitter): @NJ7V_Support the channel:* Buy us a Coke: https://www.buymeacoffee.com/RedSummitRF* Red Summit RF Amazon Storefront: https://www.amazon.com/shop/redsummitrf#apdz #HamRadio #QRP #amateurradio #hamradiopodcast #SOTA #POTA #PortableOps #mountaineering #Everest #SevenSummits #Ironman #ultrarunning #N6RUN #2M #2meters #fm

Templah Invites: Fryett Show: Templah Invites: Artist: Templah Guest: Fryett Air Date: 26 June 2026 Genre: Drum & Bass New month, and a new time slot! Setting things off right, we've got Fryett coming on for a fresh mix straight after his set with 1991, ready for his Liquicity set next month

This Week on the Toy Power Podcast; we have another Segment for The Team - this round featuring the arch Enemy of the M.A.S.K. Heroes - Vicious Evil Network of Mayhem - V.E.N.O.M.! We take into effect their Appearances, their Mask's Capabilities & but not limited to; even pulling from their Stats. The usual run-down of: Leader, Muscle, Specialist, Wheelman & of course Vehicle! This was a fun one. Who would you have picked?!? Then Trent flips through the Magazine Pages of old ToyFare issues - in our repeat "From The Vault" segment. This round it focuses on Predictions (from the early 2000's) with us trying to guess what direction the articles where trying to go in. Plus another Fun article focused around the "Dirty Little Secrets" surrounding our beloved: Masters Of The Universe property. How many do we know? How many did you know? Enjoy!Support the show: http://patreon.com/toypowerpodcastSee omnystudio.com/listener for privacy information.

Last 4 days before regular tickets sell out at AI Engineer World's Fair - this is the single biggest gathering of AI Engineers, Founders, Leaders, and Researchers in the world. Attendees get >$5000 worth of sponsor credits and talk tracks are looking FANTASTIC. Join us!The AI scaling debate always focuses on the question of “how do we get more GPUs?” but the better question may be: how do we make the most of ones we already have.The fact that a frontier lab like xAI could be running at sub-10% MFU (Model FLOPs Utilization) is just a hint at what the real problem may be.For context, older frontier-scale training runs were already much higher than 10%. GPT-3 was around 21% MFU. Gopher was around 32%. Megatron-Turing NLG was around 30%. PaLM reached around 46%. And our guest Anjney says best-in-class MFU today is closer to 60–70%.It's not necessarily that xAI is uniquely incompetent (it's clear they have talented folks) but rather the priorities may be flipped in the GPU arms race.While GPU access is a bottleneck, simply increasing CapEx won't automatically translate to better models as frontier AI is increasingly a systems problem: scheduling, utilization, networking, kernels, frameworks, data pipelines, parallelism, cluster reliability, and the thousand small decisions that determine whether your theoretical FLOPs become real training progress.From building Discord's developer platform and backing frontier AI companies like Anthropic, Mistral, Black Forest Labs, and Periodic Labs to now building AMP's independent compute grid, Anjney Midha has spent years close to the real bottlenecks of AI scaling. In this episode, Anjney joins swyx at Periodic Labs to unpack why the AI race is not just about buying more GPUs, why 95% utilization would have been considered an outage at Google, and why the next era of AI infrastructure has to be more aligned, more efficient, and more responsible.We go deep on AMP's vision for a compute grid that makes FLOPs flow like megawatts, the difference between full-stack AI labs and horizontal pooling, why AI data centers need community buy-in, and how compute markets could evolve into something closer to an independent system operator. Anjney also explains why DeepMind's unpublished research points to a market failure, why end-of-life prediction remains one of the most important AI applications he has thought about for fourteen years, and why “output maxing” may become a new discipline for frontier systems.We also discuss Anthropic's culture, why “luck favors the prepared mind” in coding models, how Claude cracked coding, why too much capital too early can make AI labs fragile, what Periodic Labs is trying to do with science and superconductors, why great researchers can become great CEOs, and why Silicon Valley is both deeply missionary and deeply mercenary.We discuss:* Why 95% utilization was considered an outage at Google* Why AI infrastructure waste compounds at frontier-lab scale* Why “move fast and break things” does not work for AI data centers* How data center backlash, power grids, and community incentives shape AI scaling* AMP's vision for making FLOPs flow like megawatts* Why compute needs an independent system operator* How interruptible demand and dynamic prioritization worked inside Google* Why DeepMind research hoarding creates negative externalities* AMP's 1.2GW base-load ambition and the need for 6GW of spike capacity* Why end-of-life prediction could become one of AI's most important healthcare applications* Frontier Systems, output maxing, and full-stack alignment* Why APIs and abstraction layers become lossy as organizations scale* Superconductors, standards, and the dream of lossless systems* SF Compute, open protocols, and the future of compute marketplaces* Why non-NVIDIA chips can still benefit from NVIDIA's reference architecture* Trust boundaries and why chip startups need visibility into future model architectures* Why VCs often underestimate researchers as CEOs* Scientists as star athletes of the mind* Why great CEOs need to be confrontational up and down the stack* Why leading the frontier matters more than “winning”* How Anthropic cracked coding* Why culture is fragile, not a permanent moat* Why hardship was a feature, not a bug, for Anthropic* Why Anthropic's P0 was coding from day one* Periodic Labs, physics as the constraint, and technical reality* Silicon Valley mercenaries, missionary teams, and what happens after a breakthroughAnjney Midha* LinkedIn: https://www.linkedin.com/in/anjney* X: https://x.com/AnjneyMidhaAMP PBC* Website: https://amppublic.com/* X: https://x.com/amppublicTimestamps00:00:00 Introduction00:00:09 Why AI Compute Is Being Wasted00:03:17 Responsible Infrastructure and Data Center Backlash00:06:07 AMP Grid: Making FLOPs Flow Like Megawatts00:12:41 Foundry, Frontier Labs, and Research Hoarding00:14:42 Gigawatt-Scale Compute and End-of-Life Prediction00:24:08 Frontier Systems, Output Maxing, and Alignment00:27:38 Compute Markets, SF Compute, and Non-NVIDIA Chips00:32:57 Trust Boundaries, Co-Design, and Researcher CEOs00:38:17 AI Coachella and First-Principles Thinking00:42:43 Leading vs Winning in Frontier AI00:45:54 How Anthropic Cracked Coding00:48:25 Culture, Hardship, and Anthropic's P000:54:03 Periodic Labs, Physics, and Silicon Valley Mercenaries00:56:26 Rishi Valley, Singapore, and Money as a Measure00:58:47 Closing ThoughtsTranscriptIntroduction: Anjney Midha, AMP, and Compute WasteSwyx [00:00:00]: We're in Periodic Labs with Anjney Midha, CEO, founder of AMP. Welcome.Compute Utilization: Node Allocation, MFU, and AlignmentAnjney [00:00:09]: Thanks for having me. At Google, there are two types of utilization usually, right? That you're measuring in these clusters. One is node allocation, and then the other's MFU. Node utilization is usually like what percentage of cards in the data center are just, used, and that, if it's not at, 95%-Swyx [00:00:29]: There is no excuseAnjney [00:00:29]: There's no excuse, right? I think 95% at Google, which is where my co-founder, Seb, came from, he built the Borg, PBorg/GQM scheduler at Google, and there I think 95% was considered an outage, so 96% node utilization is, should be standard. And most single-tenant clusters are not running at that. So that's one. And then MFU should be, I would say the best in class today is somewhere between 60 and 70%. I think this is a leadership question, right? Fundamentally it's an alignment question, which is are the people who are funding the cluster and then deploying the cluster actually aligned? And sometimes theoretically they are, but in practice the number of people in the chain, the supply chain between, the capital and all the way to whoever's managing the cluster and then whoever's measuring what the output is, are just so many, degrees of separation away that, the, The Have you ever heard the radian metaphor, which is at the beginning of an arc, if you have two arcs that are two lines that are just off by a few degrees, that-Swyx [00:01:33]: It spreads outAnjney [00:01:34]: It spreads out, right? Or at scale. And I think what's happening is a lot of cluster implementations and infrastructure, a lot of frontier labs and other teams, that's what's happening, is they're, they initialize the plan, which is kind of like North Star with a team that wants to do good, but then they're, required to scale so fast instead of iteratively that the wastage just compounds really fast at scale. And so I think we know the answer, which is just do iterative bring ups. If you spend time with people who've been in the semiconductor industry or the DSN industry for a long time, this is not new, and I don't think AI should be an excuse. Sure. Something What is new? Okay. We have a lot of new capabilities, but that doesn't mean just abandon common sense. Common sense should always be in fashion. ? AI scaling doesn't change the in fact, if anything, AI scaling should be putting a premium on the value of common sense and infrastructure because the margin of error now is so much lower and the costs of wastage are so much higher. And the cost of wastage, by the way, is not just economic. I'm, obviously I'm, I'm an investor, or I'm an investor by background. Over the last few years now we're running an AI infrastructure business called, AMP. And I think that it's okay to say this time is different on the capabilities front. We are genuinely getting capabilities at, of the, of a kind we haven't had before. That doesn't give you an excuse to say this time is different for everything, especially infrastructure. So look, I love the hacker mindset and the hustler mindset. Now, that's great for the startup mindset, but you remember this moment where Zuck went from saying, “Move fast, break things” to, move-Responsible Infrastructure and Data Center BacklashSwyx [00:03:10]: Fast and stable infrastructureAnjney [00:03:11]: Move fast with stable infrastructure. I think now we need to move fast with, responsible infrastructure. People are going to ask where the impact is. There was a really In our class yesterday, Scott Nolan, who's the founder of General Matter, came by at Stanford to speak about energy bottlenecks. And he had a phenomenal idea. He said, “if you look at the marginal unit economics of compute per hour,” he goes, “let's call it, $4 an hour. If you're having to bring up a new data center in a new community, why not just say we're going to charge 4.50 an hour, and that marginal impact or that marginal increase, we just literally take that and give it to the local community as cash?” I can tell you as a customer of that compute, I would love that. I'd be happy to pay an additional 50 cents per hour at scale.Swyx [00:03:57]: Wow. Yeah.Anjney [00:03:58]: Because if that means the public benefit is so clear to the communities that the data centers are coming up in, I'm going to feel like that compute is much more reliable. Up to 20% of all data centers this year in the US, my understanding is are at risk.Swyx [00:04:13]: Of community backlash?Anjney [00:04:14]: Correct. Of not getting the community support they need to get brought up.Swyx [00:04:19]: Wow. That's a huge number.Anjney [00:04:20]: Yeah. Now, we, I think we should dig into what that number is. I think it's a little bit of overstated. These things can get over-reported, but it-Swyx [00:04:27]: They don't just care about jobs. They care about all the other stuff around it, right? They care about power grid, they care about environments-Anjney [00:04:33]: Power grid, permitting, and so on. And imagine I think if you said there's a new AI deal. If we're bringing up a data center in your community, we're actually going to reduce the cost of your electricity bill. Okay, now we're talking. Right? The community's going, “Okay. Now this is a deal. I feel like a partner in this.” Right now that's not happening. There will be audits, there will be investigations, and when the, when the regulators come, I don't know when it's going to be, the folks who are moving fast and breaking things in the name of AI progress better be prepared. That's certainly not how we're procuring compute. Or we're, we're trying as much as we can to work with partners who have long-term track records. Many of whom, by the way, are not, AI providers. I think this whole idea of neoclouds being somehow this new category is a lot of marketing speak. There are really good, reliable, trusted data center providers in America who've been around 20 plus years. I love those folks. They know how to Sure. Are they sponsoring happy hours at NeurIPS? No. Are they legibly listed in Build? No. Are they hanging out in my, in, situational awareness parties? No. But they're adults. I trust them.Swyx [00:05:44]: They can run LAN. They can run power.Anjney [00:05:45]: They can run LAN, power, and shell. They have credit histories. We sit down, we have a conversations. Many of them live in Silicon Valley. They've, they've had to deal with the boom and bust cycles of the internet, and I love those folks. They are stable infrastructure partners and thinkers. And I think there's a lot of short-term thinking going on in the compute layer, and it's going to catch up to us. It's not going to be good.AMP Grid: Making FLOPs Flow Like MegawattsSwyx [00:06:07]: You talk about aligning incentives, and, I would think that aligning incentives means you have the full stack in one company, which is xAI and OpenAI, right? So you as a standalone infrastructure layer, why are you somehow more aligned to your portfolio companies than people who just own the whole thing?Anjney [00:06:28]: In systems design, right, there's, there's two regimes of, architecture, right? You have integration, and then you have pooling and utilization, right? So the Or rather, the way to increase utilization often is you can do systems integration where you collapse a lot of process into one node, or you can pull out a process from a node and share that amongst various That resource amongst several different nodes. And so we see the AMP grid, which is, the, what, the system we're building here, which is basically a compute grid. We're trying to do for compute what the electric grid-Swyx [00:07:02]: PowerAnjney [00:07:02]: Yeah, what the power grid did for electricity. It-- this is a pooling and utilization layer across clouds, And so we're actually the opposite of a full stack integration like approach.Swyx [00:07:12]: Super horizontal.Anjney [00:07:13]: Where it's much more horizontal and it's, it's multi-cloud, it's multi-silicon. The goal is to try to make FLOPs flow like megawatts, and that is very hard to do today for many reasons. There's stranded pools of compute all over the place and there's no fungibility. And so right now we do it at the level of scheduling, and we often do it at the economic layer. But as we start to announce what we're working on, it's extraordinary like how many folks are coming out of the woodworks and saying, “Hey, I'm actually working on a way to make compute fungible at this part of the stack and that part of the stack.” And as a grid, we'd like all of these folks to participate on the grid. There's, people often ask me, “Andra, are you a new cloud?” And I go, “No, actually neoclouds are suppliers.” sometimes they'll ask, “Are you a venture capital firm?” I go, “No, actually they are, they are demand like sort of off-takers of the grid.” We see ourselves as what's called an independent system operator. So if you study the history of the electric grid, once it became legible to a lot of factories and industrial sort of participants that, hey, actually it turns out pooling is a good idea. We should pool our generators instead of all having a generator running at half capacity in our backyard. There was a need for an independent entity who could coordinate all these parties. Transmission line, power generation, facilities, transmission lines, factories, and that neutral coordination mechanism is very critical. In order-- If you study like the history of grids, the most enduring ones were those that never owned their own assets. They were ones that had, or often started with long-term anchors who are uncorrelated sources of demand, a steel factory, a shoe mill or whatever in a particular town who weren't competitive, where the steel factory want to spike up at night, the shoe mill wanted to spike up during the day. So then you pool and you share, right? So each of you is guaranteed some base load, but then you kind of schedule your spikes to drive a peak utilization across the town. The gold standard, so to speak, historically, has been these utility companies like PJM Interconnect in the northeast of America, where they, over many years became this what's called an ISO, an independent system operator of the grid. So that's how we see ourselves. Economically, that's what we are. From a technical perspective, we started at the scheduling layer because Seb and Mihai, who, run engineering here, built that at-Swyx [00:09:28]: Did your schedulingAnjney [00:09:28]: They did that at Google. And, -Swyx [00:09:32]: And you have infra shops from Discord as well.Anjney [00:09:35]: I have some.Swyx [00:09:35]: I don't know, I don't know if Discord is like the primary identity, but what-whatever, I'm just kind of-Anjney [00:09:39]: No, D-Discord was-Swyx [00:09:40]: Choosing a well-known name.Anjney [00:09:42]: Well, I So I was running the developer platform there. The internal infrastructure I was not responsible for. That was actually a guy by the name of Mark Smith, who was extraordinary. And yes, Discord did pool So Discord is actually a counter example. I had the chance to learn a lot about fully, full stack infra there because-Swyx [00:09:56]: It's the same thing, yeahAnjney [00:09:57]: It's the, it's the other architecture which is, Discord built its own WebRTC vo-voice and video infra. So like Discord did not use-Swyx [00:10:08]: For the calls, yeah.Anjney [00:10:09]: Yeah, did not For communication, Discord did not use third party infra. It was all built in-house. And then the way you maximize utilization was you pool demand from the world's 200 million plus monthly active gamers, right? And so that's, that's how those stacks were constructed. Again, in systems design, the two concepts that keep coming up over and over again are abstraction and composition, right? And-Swyx [00:10:31]: Bundling and unbundlingAnjney [00:10:33]: Bundling and unbundling, abstraction, composition, like verticalization and-Swyx [00:10:36]: HorizontalAnjney [00:10:36]: Horizontalization. So in that sense, AMP is an independent system operator of the grid. We pool demand, we pool supply from a number of partners we trust At about 1.3 gigawatt scale over four years. And then we pool demand from some of the world's best, research labs and so on. We're sitting at one, periodic labs who need extraordinary long-term demand. And the idea is that, each of them is guaranteed base load on the grid, but they can spike up and down flexibly on, for compute, with much shorter timelines as needed. That was roughly the design of the program I came up with at a16z called Oxygen. The same-- That was the same design of the GQM, BorgX, Borg GQM implementation at Google that Mihai and Seb had built. Which was that how do you allow, teams inside of Google, on the internal infrastructure to be guaranteed capacity, for their base workloads? But when they need to spike up on research, how could they ensure that was sufficiently there? And of course, the big innovation that was not discovered, but kind of implemented in the space, this infra space maybe three, four years ago at Google was the idea of interruptible demand, right? Where you just queue up a bunch of jobs and through this like sort of credit system, there can be a bidding mechanism.Swyx [00:11:53]: Like priorities.Anjney [00:11:54]: It's a dynamic prioritization Basically. And jobs can get interrupted based on somebody else who's saying, “what? I have 10 tokens, 10 credits I want to spend on this job.” Another like team lead, research lead is “Genie 3 or whatever is only worth five, credits, and NanoBanana2 is worth 10 credits,” and so the NanoBanana job gets priority. That's a, that's a made up example.Swyx [00:12:15]: It's very real. Brain Marketplace was real. And, we've, we've covered this on the pod with David Luan, who was-Anjney [00:12:20]: Oh, great. OkaySwyx [00:12:20]: Was there. And the criticism is that, well, actually sometimes you need central command to go all in on a thing. And actually sometimes capitalism via credits doesn't work. Not, this is not a criticism of AMP. I'm just saying, this is a thing that has been tried, internally within Google, and it led to Google missing GPT.Foundry, Frontier Labs, and Research HoardingAnjney [00:12:41]: Like, we structured ourself essentially very similarly to Google. We are structured as a holdings company. So, Alphabet holdings is Alphabet holdings, and then they've got these subsidiaries called Google and-Swyx [00:12:51]: Other betsAnjney [00:12:52]: Other bets and so on. We've got, AMP holdings, and we've got our infrastructure business, and then we've got a capital business called Foundry that incubates new frontier AI labs or invests in them as venture capital, like Periodic. We put a few hundred million dollars into Anthropic from our fund earlier this year. So wherever we feel like teams are making progress, especially researchers and so on who've pushed the frontier inside of existing labs like DeepMind, I find, there comes a point where they feel misaligned with the dictatorship of Alphabet holdings. And at that point, sometimes the dictatorship doesn't want them anymore. And they're “Thank you. You've done your job here. You've kind of helped us through the zero to one phase, and for whatever reason, we're going to deprioritize your amazing, omni model or whatever it is, and instead we're going to prioritize coding.” And, I think that's a tragedy, but I get it. They're Sergey and team are running their own business there. But that doesn't mean we the rest of us should sit around waiting for that progress to get unlocked for the rest of the world and humanity. If you think about how much extraordinary research has happened inside of DeepMind over the last 10 years, I, Demis and Sergey and those guys did such a great job. But at the end of the day, so much of that has never seen the light of day?Swyx [00:14:00]: Or they're like papers only, but they never actually shipped it to production or-Anjney [00:14:03]: What's worse is the paper is actually not even being published anymore ‘cause there's a six-month embargo inside of DeepMind, right? We've heard about this where a paper comes out, and then I think there's a six-month embargo window where if anybody on the business team says, “This could be interesting” It's embargoed for life.Swyx [00:14:18]: Exactly. So the stuff that gets published is the stuff that's not good enough.Anjney [00:14:21]: There's an adverse selection problem, basically. Yeah. At this point-Swyx [00:14:25]: It's, it's a common complaint at NeurIPS, by the way, that's “Well, why would I look at the papers that are the trash of GDM?”Anjney [00:14:31]: Again, I think it's a tragedy. I get it. They're running their business, but the rest of the I think there's negative externalities of research being hoarded, and so that'there's a market failure. And somebody needs to unlock that research, and we can't do it on our own. We only have 1.2 gigawatts of compute. That's nothing. That's about $40 billion of cloud spend. We're going to need a lot-Gigawatt-Scale Compute and End-of-Life PredictionSwyx [00:14:51]: By the way, is that's a new number. I haven't, haven't come across that gigawatt number. That's huge.Anjney [00:14:56]: Yeah. And to be clear, we haven't secured all of it. That's how much demand we have started to secure. I think publicly we haven't actually confirmed how much we have for this year. In order-Swyx [00:15:04]: Where do you want to get to?Anjney [00:15:06]: I think the steady state would be that we have a base load pool Of 1.2 gigawatts at all times Of base load capacity. For spike capacity, right now my estimate is we need roughly six gigawatts over the next four years for all our teams to feel like they were able to keep moving the frontier, whatever they're working on, whether it's, like superconductor discovery over here. There's a new investment we're working on right now, which is in the end of life prediction space in healthcare. It's extraordinary how much you can, you can give this was actually my graduate school work. I went to grad school for bioinformatics at Stanford Med. And I know we-Swyx [00:15:40]: Econ, MCS, bio.Anjney [00:15:41]: So my-- I was this really weird cat where, I was never satisfied with my major options. So at one point I was an econ major, then I was a CS major, then I was a MCS major called mathematical computational science, and they decided they were going to end that major. So I took all that coursework, and I applied it to grad school, my graduate degree in bioinformatics, which was the master's program, and then I thought I was going to do a PhD. I never ended up doing it. I dropped out and went to work at Kleiner. But I was lucky enough to apprentice with this professor at, Stanford Med. His name is Nigam Shah, and he was working on end of life prediction. Stanford is one of the only research facilities in America that has a longitudinal patient data set that's larger at scale. I think it's at least 12 million patient lives. The only larger data set is at the VA, the Veterans Affairs, of America. And to do research, like do any deep learning and so on that data set, it was called the STRIDE data set at that time, you had to be a Stanford Med School affiliate, which is why I went and enrolled in the bioinformatics department. End of deep learning was early. Nigam Shah had the visibility-- the vision to see that, you could do end of life prediction to help palliative care. In America, the, over 30% of all Medicare, Medicaid spend, at least at that time, was spent on end of life care. And what's we grew up in Asia, so we all-- Yeah, at least I won't speak for you, but I have A very different relationship with death than I find folks who grew up in America do. In America, spiritually and culturally, especially in Western societies where Christianity, the Christian tradition sort of frames death as this terminal point, there's often a judgment day and so on. The way we view death is with a finality. In Indian culture, in Hindu culture, death is one-Swyx [00:17:35]: Also, he's Buddhist as well.Anjney [00:17:36]: You're Buddhist, yeah. So it's one, it's one step in a journey of many lives, right? And so, I grew up in this city called Chennai in the south of India, and when people die, you dance on the street. There's like a procession where your body is carried to be cremated and your family, like celebrates and there's drums and so on. It's this huge thing. And, It's because the idea is that you're going to be reincarnated. You've been liberated from the responsibilities of this life, and now you're onto your next. It's a new It's like going off to a new college or whatever, right? And so it was so alien to me when I got here as an undergrad- That the medical system works backwards from that assumption that we have to view death as this terminal thing and delay it, postpone it's a bad thing. And so at the time, clinical decision support in the United States was this very primitive field. Even to this day, physicians in the United States often will tell you when you have a terminal disease, this is your, we've diagnosed you, which is great. Our ability to diagnose you is extraordinary. You have somewhere between six months to six years to live. What do you do with that information? The error bars are so high that then you In times of uncertainty, we default to culture, and when the culture is let's-- this is a bad thing, I've got to prolong my life, then you start doing things like And just to, just sort of from a systems perspective, what's going on there is Physicians often feel like they need to provide such high error bars because there's always some uncertainty in end of life diagnosis, and if you provide the wrong Diagnosis or recommendation to your patient, you can be sued for medical malpractice. And then your license can be taken away. It can be catastrophic for your career. In contrast, if in countries where that's not the case, what you often observe is that patients, physicians are quite prescriptive with their recommendation. They say, “Hey, this is your condition. The literature says that you probably have this much time on Earth left. My expert opinion is that you are an outlier or whatever.” And they try to be more prescriptive, and that empowers a patient, right? ‘Cause then a patient can say, “I trust my doctor. They said on average, I have six months to live, but if I do these things, I may have a shot because of my particular predispositions or my genetic history or whatever.” And that empowers you to go about your life in a actually more scientific way than leaning on religion, culture, spirituality, and so on. In contrast, here, because of that medical malpractice sort of thing looming over your head, a physician never gives you a clear recommendation. So instead you say, “Okay, Doc, well, let's try it all.” And then you start a whole regime of drugs and therapies, and then you often spend weeks and weeks in the hospital, and that deteriorates your quality of life. And when that deteriorates your quality of life, you instead of spending your last few days doing the things you love with your family, you're spending it on a hospital bed. And that ends up being thirty percent of Medicare and Medicaid. So it's worse for the patients. The doctors feel terrible. The American taxpayer is paying a huge amount of money. And so this is why Nigam Shah, who was this professor at Stanford, said, “Anjney, if there's “ I kind of sat down with him. I was this young, I'd, I was twenty-one, and I was “I want to work on a big problem.” He's “The big problem is end of life care.” And so we tried to do deep learning to say, to-- So we started trying to run deep learning on these tried patient data sets to say, “Could you have an AI system make a recommendation that is orders of magnitude more precise about how much time you have left once you've been diagnosed with a terminal condition than a human?” And then if we can get that precision to be high enough, then you can empower the patient. And it turns out the tech works. Like it's-- Once you get the data set, like RL works. Honestly, even regression models work. You don't need to get that fancy. At the time, we were just trying, doing like very simple neural nets.Swyx [00:21:54]: Simple solutions, yeah.Anjney [00:21:54]: Today, what we can do with RL is extraordinary. The problem remains then and now is regulatory, because you actually can't shift the burden of the wrong clinical diagnoses from the physician to the AI system. And so at that time, I got quite disillusioned ten years ago for, twelve years ago where, ‘cause I felt I just didn't have the resources to influence regulation. Today, I'm very lucky. I'm in a different place. I've, I'm a lot older, and so I've been spending a lot of time on my next incubation, which is how can we unlock the, patient empowerment by training AI models to do end of life prediction much, with much more precision and ac-Swyx [00:22:37]: Oh, wow. You're still focused on this the whole time.Anjney [00:22:40]: The-- I haven't been able to get, this out of my mind a single day for the last fourteen years. This is the hill I want, I would like to die on. There's two, I would say. What? I actually, I'd prefer not to die.Swyx [00:22:51]: Yeah, exactly.Anjney [00:22:52]: But I think two bipartisan issues, I think two issues that should be bipartisan in America are how do we empower patients to make the right clinical decisions at the end of their life, such that we're reducing the taxpayer burden with science? It's just good old science, and AI can help here. And the second is, net positive data centers, ‘cause I think that's the biggest critical bottleneck on training and good enough AI models to help people at the end of their life. So there's sort of two sides of the, of the same scaling bottleneck curve, but those two, we formed AMP as a public benefit corporation. My wife and I, who you've met, you've met Viv. Her passion is education. Her family is a long line of educators and so on, and, of physicists. And so this class is my attempt to stop being the black sheep of the family and be a, an educator. But if I'm not educating, the thing I would be doing is working, on these two problems, whether on the political spectrum or as a researcher back at, in some lab. And my hope is if anyone's listening to this podcast, if they're passionate about either of those two topics, I'd love to hear from them. We'll, we'll we can share the contact in the show notes, but, we're looking for people to join both of those missions on the, on the political side as well as on the medical side, on the research side.Frontier Systems, Output Maxing, and AlignmentSwyx [00:24:08]: You said, this is a discipline that you want to form. You call it's called variously called Frontier System. It's variously called One Person Frontier Lab. What is the ideal name or shape of this? Like the, what is the mission?Anjney [00:24:24]: Of the class?Swyx [00:24:26]: Of the discipline that you're, exploring, right? I The class is called Frontier Systems. But like for me, maybe one phrase is you're, you're just anti-waste, right? Which is wasting GPUs, wasting in human and Medicare. But is there, is there a broader theme that I'm, that maybe you can encapsulate more succinctly?Anjney [00:24:45]: Yeah. The, from an engineering perspective, it's very simple. It's output maxing. It's the, it's the department of output maxing.Swyx [00:24:51]: Making the most of what we have.Anjney [00:24:52]: Exactly. I'm a huge believer in optimal outcomes. I think both in America and other countries, we are losing our appreciation for nuance, and this is the thing of And AI is the same case, right? Oh, the bitter lesson holds. Okay, fine. But that doesn't mean you just like throw 500 GB300, 500,000 GB300s at your suboptimal model scaling and you waste a bunch of compute. It also doesn't mean that, the most optimal is to have like 50 different architectures where there isn't enough standardization. One of the reasons Anthropic has had extraordinary sort of velocity is ‘cause they picked the transform architecture and said, “This is simple. Let's double down on it,” right? And now luckily there's enough investment going to the space that we can afford other architectures, but at the time, investment was just too fragmented into other architectures, so that arguably unlocked scaling. So I think there's a philosophy. I think we all owe it to ourselves to do output maxing with a new capability called AI on a global level. I think if I was starting a new department at Stanford, depending on how fuzzy or technical I wanted to be, I'd probably call it the Department of Alignment. Like-Swyx [00:25:59]: It's an overloaded termAnjney [00:26:01]: But it is, But alignment really Is a hard problem. And I think when you unlock it, full stack alignment is super hard in any organization and in any system. Like in a, in a venture capital firm, if you can have full stack alignment between your limited partners and your, the founders who are creating the value and ultimately the public that owns the IPO stock, that is a gift that keeps giving. And when you study the history of these systems, when they start off, they usually start out small scale where the feedback loop is actually so tight that there's alignment. And then the more you try to scale, the more division of labor happens, the more specialization happens, and at each step you add abstractions. And wherever there's an API interface, there's like loss. There's communication loss. And so I think a really cool thing would be for us to figure out is there a way for us to have our cake and eat it too as an engineering discipline? Is there a way to actually scale up and scale out Without losing any alignment, without lossy transmission?Swyx [00:27:01]: You mean standards?Anjney [00:27:02]: So standards is one way. The other way is you just have net new capabilities. So like what we're trying to do here is discover new superconductors. A room temperature superconductor would be a lossless transmission mechanism for energy. We would have flying cars. We are right within a few years of having a new room temperature superconductor. So I think those are the two. You either have to standardize On protocols or API specs that allow lossless communication, or you can come up with a whole new capability that unlocks so much abundance, the standardization doesn't matter ‘cause you just unlock net new capacity. This, the, so this is what I spend my days thinking about these days.Compute Markets, SF Compute, and Non-NVIDIA ChipsSwyx [00:27:38]: No, I think every infra person at, who wants scale and wants to output max does eventually end up thinking about this. We don't have time to go into it, but we have done an episode with SF Compute-Anjney [00:27:50]: Oh, coolSwyx [00:27:50]: That is trying to standardize The futures contract for compute. I don't, I don't know how that's going by the way, but like at some point this will be public.Anjney [00:27:57]: Oh, I think Evan is awesome and SF Compute is the kind of effort that I hope we can accelerate because what often happens is these exchanges are very hard to get, they, it's hard to bootstrap them, right? Because they often require-- There's many inefficiencies between parties. There's trust boundary inefficiencies in infrastructure because you don't trust, one part of the stack doesn't trust another part of the stack to give them visibility. There's capital markets inefficiencies, there's operational efficiencies. So if you can inject like a single shock to the system of a ton of compute demand or supply, then you can accelerate, these new flywheels. And so my hope is one day, or soon, if SF Compute needs extra like has excess capacity, they just hook it up to the grid and they get flooded with demand from us. And on the other side, if they have a ton of demand but they don't have supply, they just again hook up to the grid and it's a two-way protocol where they can just hook up to our capacity. And I don't think we're too far from that. Today our working implementation of it is mostly through a group of labs, universities, and a few sort of trusted parties who are, who all feel like they're in alignment to borrow an over sort of used word. But our hope is to just have it be an open protocol that anyone can hook up to on-Swyx [00:29:20]: Hook up for demand or hook up for supply? In primarily demand, it sounds like. Like you-Anjney [00:29:25]: No, bothSwyx [00:29:26]: You would want to offer demand.Anjney [00:29:27]: Both. Yeah. Unfortunately, what's happened in the last six weeks is, we thought we'd have a bunch of excess capacity by the end of this year. It's all gone.Swyx [00:29:37]: It's exploding.Anjney [00:29:38]: It, yeah. It's all gone. And so I have, my text messages are full of friends, we know many of these people, these are founders who've raised billions of dollars in San Francisco going, “Oh, any chance you have like 50 nodes in the next few weeks?”Swyx [00:29:51]: What is the scope for, non-Nvidia, right? You have Lisa Su coming and, Rainer Pope as well. And so There is a lot of demand for, more performance Alternative architectures and all that. At the same time, this hurts your standardization.Anjney [00:30:11]: I don't think so. So actually Rainer's a great example, right? Rainer is a CEO and founder of, MatX. I actually had him by for office hours in the class earlier today, and there was an insight he brought up that I hadn't considered before, which is when they decided to pick the standard For their data center, they picked the NVIDIA reference architecture. So the MatX chips Just plug in to any site that has an NVIDIA bring up planned. And, the-Swyx [00:30:42]: It's just software then. It's, it's not the-Anjney [00:30:44]: A-Swyx [00:30:44]: Hardware.Anjney [00:30:46]: Well, from an input and IO perspective It's the same footprint as an NVIDIA rack.Swyx [00:30:52]: That makes sense.Anjney [00:30:53]: Where they have done, innovated a bunch from what I can tell is on systems co-design. Which is where a lot of the gains are to be had. And so he picked He was “Anjney, we, there's just so much work to do when you're building a new chip company.”Swyx [00:31:08]: Can't fight every front.Anjney [00:31:08]: You just can't fight on every front. So my question to him was, “Well, you're working on this new chip. Their tape-out is next year. What, who are you going to partner with to host the chips?” And he said, “Whoever will host them. That's just not, that's not my focus.” And I said, “But how did you “ you decided back to our earlier systems design question, he decided that, he didn't want to be a full, fully integrated chip provider. The bottleneck they're focused on is the logic die, and they, he feels they can crank out a ton of performance gains through co-design there. But then that means you delegate, to our question earlier, it, you he's the data center provider is a different part of the stack, and so then he's dependent on that part of the ecosystem to host his chips to get the performance gains to the customer. So now you have another abstraction, and you might have loss. So I asked him, “How do you prevent loss?” And back to your point, he said, “I just picked the NVIDIA standard ‘cause I didn't want to Like I wanted to piggyback off of an existing protocol.” And that, what's great about NVIDIA is that reference architecture is known.Swyx [00:32:15]: Open.Anjney [00:32:15]: It's open. They've published it. So Jensen's actually enabled someone like Rainer to build a chip company like MatX, and I don't see them as competitive. The compute demand is so high. Like, I don't I think NVIDIA's not able to meet the demands of production, so we just need more chips. And I think it's very smart what MatX has done, which is say, “We're just going to we're not going to innovate on the data center design ‘cause actually, thank you, Jensen, you've done all the hard work. Where we can innovate is somewhere else.” And I think that's, that's very healthy. I think that's how we unblock new bottlenecks. And my view is these, the, chip teams like MatX, who have arrived at the insight that co-design is the way, The primary bottleneck for them is trust boundary. To do co-design well, you need visibility into the next model generation as soon as possible ‘cause it takes two years to tape out. So if by the time I bring my chip to market, your model architecture's changed, I'm host. Now, when he was inside Google, he was sitting next to the Gemini team. He was on Palm or whatever.Trust Boundaries, Co-Design, and Researcher CEOsSwyx [00:33:19]: His co-founder was the, was one, was one of the Palm guys, I think.Anjney [00:33:23]: Yes. Yes, exactly. So when you're inside the trust boundary of Google, then your systems co-design loop is super tight. When you leave as a founder, one of the biggest risks you take is now you're outside the trust boundary. And so what I love doing is helping chip teams who can help us unlock more capacity for the independent ecosystem access to trust. Because when I If I've been, involved with a lab from day one, and I was lucky enough to work with Anthropic, and then I'm on the board of Mistral and helped Black Forest Labs get started. I think at this point I'm on six or seven different teams.Swyx [00:33:57]: Only six? I feel like my mental number was going to be 13, but yeah, it's-Anjney [00:34:02]: No, I go deep with one at a time.Swyx [00:34:04]: You're founding CEO of Arena.Anjney [00:34:07]: Nah, that was an, that was an-Swyx [00:34:08]: Administrative CEOAnjney [00:34:09]: It was an administrative five-month gig where Whalen and Anastasios were graduating from their PhDs, and they didn't need a product team. So I helped recruit the head of engineering product and design. But Anastasios has always been the CEO of that company. I played a pinch-hitting I'm an intern. I was CEO intern For five months. -Swyx [00:34:33]: I interviewed him, and he's he's very well-spoken. I think he's a debate, former debate, champion. But also very quantitative and mathematical, which is-Anjney [00:34:41]: He-Swyx [00:34:41]: Such a unicorn.Anjney [00:34:43]: See, what's amazing about him? If you look at his output, he's an output maxer. By the time he was graduating from his PhD, which he only graduated last year, he had published more work with a citation count than, people twice his age. But at the same time, he'd already started a project called LLM Arena that was being used by millions of people As a side project. And time and time again, what I've realized is venture capitalists suck at seeing human beings as, dynamic agents where-Swyx [00:35:14]: They want to put you in a boxAnjney [00:35:15]: They want to put you in a box.Swyx [00:35:15]: This is your thing.Anjney [00:35:16]: So the first time I got introduced to Anastasios, somebody had told me “Oh, he's amazing, but he's a researcher.” I was “what? What do you mean he's a researcher?” That's what-Swyx [00:35:28]: Like he's not a CEO, not a founder.Anjney [00:35:29]: Not a CEO, exactly. I was “Are you crazy? Do you Have you met Dario?” Dario's a scientist. He's gone from zero to, what will soon be a trillion-dollar company in four years. Being a CEO, nominally speaking, is not that hard. Being a good CEO is hard. Being a great CEO actually requires a level of performance that scientists who have already published at the top of their field have accomplished. It is super hard to be a competitive scientist. To publish in academia over the last 20, 30 years, to make it to the top of your discipline at a place like Berkeley, you are a star athlete. Like, you are an athlete of the mind, and you perform at the highest levels. And to get there, whether you're, Anastasios or Whalen at Berkeley, or you are Robin, who-Swyx [00:36:23]: BFL, yeahAnjney [00:36:24]: With Black Forest, who created Stable Diffusion, or if you're, like Guillaume at Meta, who created Llama before he started Mistral. The amount of human leadership you have to demonstrate to get the resources, like get the trust of the organization, publish it, put it up. I would just fund researchers all day Right? If who have contributed already to the field. If they've, if they've put SOTA out there, they're, they're star athletes already. If they haven't done SOTA Look, they can still be good CEOs, but then I find the failure mode is that they just don't want to be CEOs, they primarily want to publish, and that's okay, too. One of the things we do with the AMP Grid is we donate excess compute. We have two nonprofits, like university labs. We carved out like a couple thousand H100s. But I do think there's extraordinary research being done on university campuses. My father-in-law's a physicist. He's a professor. Extraordinary work in physics, and we need that. But if you want to be a CEO, what you need to be willing To do is be super confrontational, outside of science. Like within the scientific community, some of the best researchers are very confrontational about their convictions, right? This architecture is right. To be a great CEO, you basically have to be willing to be confrontational up and down the stack.Swyx [00:37:41]: To your own team.Anjney [00:37:42]: To your own team-Swyx [00:37:43]: To customersAnjney [00:37:43]: Hiring, recruiting customers. Well, I would say, Yeah, pretty much to everyone Everybody. Of course-Swyx [00:37:50]: I see, I feel a little bit of that in my own work, but yeah, I can't imagine the stakes that Dario has had to go through. It's, it's pretty insane.Anjney [00:37:56]: No, I don't think the stakes are that different From how you're feeling it, right? Stakes are personal scaling vectors, right? The stakes that seem so low to you, like having this podcast where you can talk to somebody and just have a you're an extraordinary communicator, right? Like already in this conversation, you've pulled more out of me than most people, and I've been on 12 podcasts in the last two weeks.AI Coachella and First-Principles ThinkingSwyx [00:38:17]: I think I, we've just seen each other enough that there's some base trust.Anjney [00:38:20]: There's base trust.Swyx [00:38:20]: And I think, and I know that you, that I've done my homework and like I know that trust is a big deal for you, so.Anjney [00:38:27]: I think trust is about consistency, and you and I have seen each other In the community for years, right? Like, I remember the first time we met was at NeurIPS in New Orleans. I don't know if you remember that, luncheon.Swyx [00:38:38]: Oh my God.Anjney [00:38:39]: Reiko had set up this Reiko's amazing, and he set up this luncheon and-Swyx [00:38:43]: Yeah, I was “Who's this Discord guy?” I'm “Okay.” But-Anjney [00:38:45]: No, you weren't-Swyx [00:38:46]: You were just “You made some investments.”Anjney [00:38:47]: You were much less polite. You were “Who's this VC?” You're like-Swyx [00:38:51]: No, I Was I? Oh my God.Anjney [00:38:53]: It was-Swyx [00:38:53]: I'm so sorryAnjney [00:38:53]: It was visible on your face.Swyx [00:38:54]: I'm so sorry. But you weren't, you weren't The introduction was bad. I was I didn't know who you were.Anjney [00:39:00]: The, see, this is the thing about context, right? Like, but then I think I heard your accent. And I was “Are you-”Swyx [00:39:06]: Singapore, yeahAnjney [00:39:06]: “Are you Singaporean?” And you're “Yeah.” And I said, “I went to high school, JC, in Singapore.” And then the ice broke. But This is the there are in the scientific community, sometimes the stakes are very high for people who haven't had the emotional, what is called EQ Coaching and mentorship, right? Which is like to have scientific impact, you often need to be a extraordinary emotional, like emotionally in tune person with the folks you're trying to influence. And so what comes so naturally to you is actually a super high stakes thing to other people. And so I wouldn't assume that Dario's more stressed out than you. These things are you'd be surprised how similar and small sometimes the problems are to you That some of the world's biggest, leaders are facing. And that's what I've learned from this class. The guest speakers are Sam, Satya, Jensen.Swyx [00:40:01]: AI Coachella.Anjney [00:40:02]: Yeah. It's AI Coachella, right? So we got to get all the headliners, and they're I'm very lucky that some of these people have either mentored me over the years or I've done business with them. And when you, take the performative stuff out and any assumptions you may have about these people that you read in the press or on Twitter, We're all just humans. We're all trying to get along. And what's so special about this moment is AI is forcing, like scaling, the bitter lesson is forcing a lot of people to revise their assumptions for how the world works and go back to first principles or go and educate themselves. So the kind of people I was, I won't name who this person is, but I was at an event last week in Texas and, ran to somebody who said, “Anjney, I came across the class. What do you think about real time action prediction models?” And I was, don't know how happy it made me feel when they asked me that question. I know they've done the work. They've challenged themselves. I'm, they didn't ask me, “What do you think of world models?” They said, “What do you think of n-”Swyx [00:41:04]: Real time action predictionAnjney [00:41:05]: “action, real time action prediction models?” World models, don't get me wrong, are cool and everything, but you and I both know that is a layer of abstraction that is sometimes not usefully precise enough. Right? Ours-Swyx [00:41:16]: There's like four different kinds of world models.Anjney [00:41:17]: Yes, exactly.Swyx [00:41:18]: We've done the part with general intuition, by the way, which is very focused on, -Anjney [00:41:22]: Oh, cool. Yes. I love Pim. Pim is great. And this is what I love about people who've done that level of work. They realize they're not in competition with people who the rest of the world thinks they're in competition with.Swyx [00:41:34]: Because they're not in the category, they're in the specific thing they're trying to do.Anjney [00:41:37]: They're focused on their mission, and they have a systems understanding of the bottleneck they're trying to solve. And when somebody else says, “I'm working on real time, action prediction models too,” Pim goes, “Oh, I love that person. I want, I can learn from them.” But the minute they're “Oh, that person's a world model person,” it's “like which type of world model person?” But mostly they're just trying to figure out if it's a waste of their time, because we don't have enough time. So, Pim, for example, is super, loves this other company I work with we've talked about called Black Forest Labs. And he's mentioned to me multiple times that he's so, He thinks what Flux is doing is really cool. Andy Blattman came by and spoke in the class. And what I find over and over again is for people who do the work, who can be usefully precise enough about like what is actually going on in the world of frontier research, The sense of camaraderie is still well and alive, but it gets lost sometimes when you have to like abstract The technical complexities in, business terms And then the VCs are “How are you different from that world model?” I'm going to say Where do I even start to explain this stuff? And then the misalignment creeps in.Leading vs. Winning in Frontier AISwyx [00:42:43]: This is good. Yeah, I think, people listening get a sense of, what it is like to operate at a real level, like yourself, rather than at, the journalist level, where you have to sort of put everyone in, a rough category and create a narrative of competition, and who's winning today, who's behind.Anjney [00:42:58]: It-- this idea of winning is so Weird to me.Swyx [00:43:03]: You do want to win. You want you want competitiveness.Anjney [00:43:06]: No, I think you want to lead.Swyx [00:43:07]: You want SOTA.Anjney [00:43:07]: No, I think you want to lead. Yes, so you want to push the frontier. You want to push the SOTA. You want to do something that hasn't been done before. You want to capture value, but you don't want to capture so much value that, people think you're unaligned with your mission or trying to do what's best for the world. You want to capture enough value that you can keep innovating, right? And I think that people want to lead, they don't really This idea of winning and losing, again, I love Jensen. He's a, he's a leader. The mindset that he talked about on Dwarkesh's podcast, right? He's “I didn't wake up with a loser mindset.” I think that was awesome, right? Because he's, he's an engineer. Dwarkesh has done the work. So there's at least-- even though the, to me, it was very obvious they're talking about the same thing, they just passed each other. They just had to basically, Jensen has this, five-layer cake abstraction of how the industry works. And Dwarkesh had, I think from that podcast, had more of, a pre-training, mid-training, post-training systems loop concept.Swyx [00:44:04]: It's just a factor of who he talks to, right? Again, it's very clear.Anjney [00:44:06]: It's the systems It's the abstraction, the mental models, the It's the whole-- Dude, so much of the problem in the world is reasoning by analogy. And then the assumptions that are held invisibly.Swyx [00:44:19]: Yeah, I've, I've said, this is actually the best time in human history for first principles thinkers. Because everything you think will happen is actually now coming true.Anjney [00:44:28]: Correct. And the venture capital community is, notorious for this, where people look-- In times of uncertainty, they, cling to axioms that ended up being true from the previous era, and they kind of like proclaim them with confidence as if they're truths, but they're not. And it's very important to see the distinction between a heuristic and an axiom. An axiom can be proven-Swyx [00:44:55]: Like from internal consistency point of viewAnjney [00:44:56]: With internal consistency. A heuristic is a way you kind of a shortcut. And my God, the number of people I have had to put up with over the last few years who proclaim-- use heuristics As axioms to judge people, to judge which companies are going to succeed or the number of people who are “Oh, yeah, Anthropic, they're just training models right now,” but this one continue.Swyx [00:45:22]: Because that's a B2B SaaS?Anjney [00:45:23]: Yeah, the, like Which over the fullness of time, if you squint at it, maybe. But the way you arrive there is so important that you can-- you just, you can dismiss people. Here's what happened, right? What happened is Anthropic basically achieved takeoff in October of last year. That training run-Swyx [00:45:41]: Whatever, three seven?Anjney [00:45:42]: I forget the numbers now, but whatever that checkpoint was-Swyx [00:45:45]: We saw the cognition.Anjney [00:45:46]: Yeah. Right? You probably-- The, to those of us in the community, especially once post-training was done and it was released in December-Swyx [00:45:52]: Yeah. Can I sneak a sneaky question in there? I don't know if you have a perspective, maybe you don't, I just The number one question is how did Anthropic crack coding, right? Because Claude One, Claude Two, okay, like it was part of it, but it wasn't a big deal. And the leading hypothesis, it's a lucky dice roll that was then compounded, right? Like it was like Mildly better, but then they saw it and they were “Okay, let's really invest.”How Anthropic Cracked CodingAnjney [00:46:17]: I had this very annoying teacher. I went to this boarding school called Rishi Valley in India, which is like this, bird preserve. It's like three hundred and fifty acres of bird preserve in rural India, and there was no technology for seven years. There was this teacher, I won't name them, but they would have this-- I hated it every time he said this to me. He was “Luck fa-favors the prepared mind,” which is like a common saying, but the way he delivered it, always grated me, ‘cause he was always I was always one of those kids who got, a good grade without trying very hard. ‘Cause like high middle school is not that hard if you, if you're generally, paying attention and so on. And there was this one time where I-- But then I would get an eighty percent grade, and he would keep pushing me to say “The reason you didn't get the ninety-five plus percent is because you're not that lucky.” And I would say, “What do you mean?” ‘Cause I would think that I deserved that grade, and I would sometimes argue with him. And he'd say, “You didn't have a prepared mind. If you want to get lucky again “ There was basically one time where I got like ninety-five or ninety-six on this, on this subject, and I, now that I felt entitled. I was “Okay, I'm going to keep doing this,” and I didn't. And then he was “Luck favors a prepared mind. You got lucky last time, but you got to stay prepared.” And I didn't understand what he meant. Now, as I'm older, I'm okay, these adults actually knew a thing or two. Anthropic has been the most prepared company for four years. And so then when the right, context data comes in, the right developers start sending in, the right context diffs, Sure, you could say you got lucky, but if you ask me, they're pr-pretty damn prepared with paranoia for like four years. And you have to remember, it was so hard for them to get going early on that they had to do so much more with so much less that you just have to be prepared to be so efficient.Swyx [00:48:06]: Yes. There's numbers on their burn compared to OpenAI. I've, I've written about it, but they are so much more efficient in their, in their tech stack.Anjney [00:48:14]: It's not even It's not funny.Swyx [00:48:14]: Not even close.Anjney [00:48:15]: Yeah. But it's so clear, right? Like how to output max for the world. They have been prepared, and you could call that luck, but Luck favors the prepared mind.Culture, Hardship, and Anthropic's P0Swyx [00:48:25]: This is one of those things that I was going over some of your old lectures and, you were data, people think it's a moat and actually it's culture and actually it's team Actually. And I, it's-- there's different levels of moats, and this is the ultimate one that determines everything else. Which you can then compoundAnjney [00:48:43]: You're saying culture is the ultimate moat? Yeah. But the thing about culture is it's very fragile. So moats, I don't think they're-- there's very few moats I found that are actually moats. They're-- It's, it's a nice concept, but in reality, you have to replenish your culture. Ben Horowitz was, the speaker in CS153 on Tuesday, and I asked him this question about the culture bottleneck in teams because, there are several AI teams-Swyx [00:49:09]: His book, Hard Things About Hard ThingsAnjney [00:49:11]: Hard Thing About Hard Things. But more concretely, there are so many AI labs today that have all the cash they need, they have all the compute they need, and they're still not able to ship anything SOTA. And then you start seeing people leave and so on, and my diagnosis, it's, is it's the culture. And so I asked him, Ben, they're-- He's been one of the most aggressive investors in AI labs. He goes back to this thing which resonates in my mind a lot. It-- When I used to work at a16z, I would, book a conference room, and right outside the conference room, which is closest to the toilet ‘cause it was the fastest way for me to go use the bathroom between Zoom meetings-Swyx [00:49:45]: Oh my God, I'll put maxing my toilet optimization. Okay, never mind.Anjney [00:49:48]: It was not healthy in hindsight, but maybe this is TMI. But anyway, outside that conference on the wall was this quote that was printed that said, “Culture is not a set of beliefs, it's a set of actions.” And it's by Bushido, is this, Japanese philosopher. And if you stop taking the actions that demonstrate the mission alignment to what you've said to your team and to your-- the world matters to you, then your culture starts to fray. So it's not actually a moat, I would say. It's a very brittle, fragile thing that requires daily tending to like a garden. But if you figure out the system to keep that garden tended, which I think ultimately comes down to knowing yourself ‘cause you most naturally, if you're authentic and so on, you'll naturally make trade-offs that seem effortless to you, but that reinforce your culture. And then That becomes this very hard thing for other people to catch up to. And at Anthropic, from day one, there was this mission like-- missionary like zeal and belief that, hey, these capabilities will scale. These systems are stochastic, not deterministic. There will be error bars, and until we crack interpretability, there's risk. And at some point, people will go-- stop using Claude just for coding. They'll use it in some mission-critical context where there's-- it'll throw off a bug, and then people are going to come blame them, and they want to be on the right side of history where they said, “Yes, this is a powerful technology. We think it's going to change the world, And we want to be very measured and scientific about the fact that, ‘Hey, guys, these are stats models, statistical models.' That's how statistics works.” ultimately, when you're training neural nets, it is just a statistical system. And I think that Belief that safety is important and that it might seem toy-like in the early days, and sometimes, you could say, “Anjney, they totally over-exaggerated the risk,” like two years ago when they said, “Let's not launch Claude One,” or whatever. Well, okay, maybe in hindsight, but hindsight is twenty/twenty. And at the time, they didn't know how that model would be used, and to them it felt existential if somebody came and said, “You weren't responsible. It-- This wrote a bug.” The liability associated with that is massive. So how do you prevent against that? Well, day in, day out, you say safety. And when you start deviating from that, you have the team hold you accountable, you have the world hold you accountable, and I think that becomes a moat over time. At some point, that moat will get challenged and so on, and then it become fragile. I hope it endures because that's the beauty of having founders run the show, ‘cause they can make really hard trade-offs to do mission alignment. The hardest part is in the earliest days when you don't have a group of people who are going through difficulty, stress, crisis together, then your culture doesn't get defined sharply enough, and that's what I'm worried about right now, is there's so much money going to these labs. There's no hardship. There's no-Swyx [00:52:50]: To anyone who knowsAnjney [00:52:51]: There's no to anyone who knows. And that, in hindsight, was a feature, not a bug for Anthropic. The number of people who said no, the number of people who said, “Sorry, we're all doing investors in OpenAI,” that is competitive difference. It forces you to really understand, what is the hill you want to die on at the expense of everything else. What's the P zero? And there, P zero from day one was coding. The reason, the mechanism system there was if we crack coding, Then we will crack AGI. Our mission is AGI. We want to get there safely. If we focus on codin

Trumpin uhittelu Grönlannin haltuunottamisesta pelästytti pahanpäiväisesti Pohjoismaat. Oliko kyse pelkästä Trumpin päähänpinttymästä? Mitä suurvaltojen kartoissa lukee, kun jopa Yhdysvallat uhkailee Tanskaa? Syttyykö seuraava konflikti arktisella alueella? Vieraana on Jään valta vaihtuu -kirjan kirjoittaja, tietokirjailija ja toimittaja Marjo Näkki. Toimittajana on Tapio Pajunen.

A few weeks back, Mark Call of Shabbat Shalom Mesa made the decision to spend a bit more time on the last few weeks of regular readings, which included a “double-portion,” separately. Hopefully you saw why that was important. So, this week, we’ll continue to catch up, with a bit more than parsha ‘Naso,’ (Numbers 4:22 through chapter 7) and continue through a section in chapter 10 that seems to fit well. The reading for parsha Naso begins with the remainder of the duties of the tribe of Gershon, and then summarizes the ‘census’ of the Levites, after which the narrative changes, and we again see that those who were “unclean” – for several reasons – were to be “put out,” or “shalach” in the Hebrew, a word we’ve seen before – of the camp. And that is followed up by descriptions of two other ‘processes,’ described in detail, which seem utterly foreign to most of ‘the sun-day church’ today. https://hebrewnationonline.com/wp-content/uploads/2026/06/SSM-6-5-26-Naso-plus-thru-ch-10-teaching-podcast-xx.mp3 The Sabbath Day midrash this week begins with a question: What is it about those two, apparently very different, situations, and thus processes, the connects them? And why do they follow immediately after the commandment to “shalach” or put out of the camp, the “unclean?” The process outlined for the “sota” – or the woman whose husband suspects adultery, but has no proof – is said to be the ONLY one of its kind in Scripture, where YHVH actually PROMISES a miracle, one way or another. It’s also misunderstood and mis-taught (witness most of the twisting you’ve probably heard about ‘Jesus and the Woman CAUGHT in adultery’) and yet still at the very heart of so many of the most important events in all of human history! Why does the ‘whore church’ then ignore the real lesson? And that is followed-up immediately by the process surrounding the ‘Nazerite vow.’ Samson was said to be one “from his mother’s womb,’ as perhaps John the Baptist may have been as well. But Shaul, aka “Paul of Tarsus” notably TOOK such a vow, after he came to know Yahushua, notably, and yet most of xtianity has NEVER heard that! For reasons that Mark says, as the discussion unfolds, are obvious now. “Naso-plus: “Put out” the Unclean – but then Other Ignored Commandments That Speak VOLUMES about what we have been MIS-taught” https://hebrewnationonline.com/wp-content/uploads/2026/06/WT-CooH-6-6-26-Naso-plus-thru-ch-10-Shalach-the-unclean-the-Sota-the-Nazerite-and-HOW-MUCH-MORE-so-Es-QQQ-podcast-xxx.mp3 Service information: Shabbat Shalom Mesa fellowship worship services and teachings are broadcast live every Sabbath, via Paltalk. (www.paltalk.com has both the link, and the app.) The “room name” is “Walking Torah with Shabbat Shalom Mesa,” and can be found via the paltalk search, then bookmarked. Erev Shabbat services begin at 7:00 PM Mountain Time Friday evenings (9 PM Eastern, 8 PM Central) Live Sabbath teachings begin shortly after 11 AM Mountain time on Sabbath day (Saturday). email: mark@markniwot.com The combined two-part reading and Sabbath midrash:

This Week on the Toy Power Podcast; we are giving our thoughts & experiences from our recent visit to the Annual Adelaide Mega Toy Fair! Kicking off with our forceful entry into the event! Scott as the New Organiser has done a fantastic job with table spacing, Real Pop-Culture Cars as an attraction & what kind of things that where on offer for Sale; plus of course our SCORES! We each have quite a diverse range of goodies that came home with us; but as always it was absolutely awesome to socialise with so so many people! Then we begin our Review of the New Masters OF The Universe Film! Kicking off with high level non-spoiler thoughts of the Movie. Tales of Trent & Ben seeing an Advanced screening of the Film - with sacrifices from our families to attend! Then; we dive in head first into a deep discussion that bounces all over the place which analyses the entire Movie - INCLUDING SPOILERS! We touch on everything from Characters, Lore, Tone, Easter Eggs, Credit Scenes; plus the things that don't quite merry up. We even have some of the Chronicles Action-Figures to touch on as well! Please get comfy for this extended episode; all the while celebrating Darren's Birthday too. Enjoy!! Support the show: http://patreon.com/toypowerpodcastSee omnystudio.com/listener for privacy information.

Painter George, aka George Harry Crampton-Glassanos, is fine if you wanna call him just "George." In this episode, meet and get to know George. Both of his parents came to San Francisco early in their lives. His mom hails from the East Coast and her family were all working-class folks. His grandpa was a business agent for a machinist's union in Massachusetts. That grandfather shaped George's later involvement in organized labor. (Today, he's a member of the ILWU). George never knew this grandparent who had an outsize impression on him. He died shortly after George was born. But in Massachusetts, in addition to his union involvement, he owned a store that sold records on one half and hats on the other. His dad moved to San Francisco from the Midwest to attend school at the Art Institute (RIP). He got into that school and often slept overnight on a ledge on campus. Both of George's parents were punk rockers in SF in the late-Seventies. Amazing. His dad even lived with the guitarist from The Avengers (Penelope Houston's punk band). Though they would meet later, both spent time at the famed Mabuhay Gardens back in the day. George's dad was a painter as well, and that turned out to have a huge influence on George. His parents met when his mom got a job with his dad's construction working crew. This was around the mid-Eighties. George came along in 1989. After that, his parents had two more boys, making George the oldest of three. His earliest memories are from around the mid-Nineties in The Mission. George spent time when he was a kid running around The Mission and pre-gentrification Dogpatch with his dad. They lived on 18th between San Carlos and Lexington (or, zooming out a bit, between Mission and Valencia). That's two blocks from where I lived from 2003 to 2017, incidentally. But George's family got evicted from that apartment on 18th. The building sold and the new owners evicted tenants one by one, including families like George's. Both of his brothers were born in that apartment. His dad had made modifications there, handyman that he was. And George was old enough to remember all the awesome neighbors they had. I ask George about his favorite restaurants when he was a kid. "I fuckin' ate burritos every night of the week," he answers. He'd hit up nearby La Cumbre or El Buen Sabor around 300 times a year. Whiz Burger also figured big in George's childhood diet. There was a diner across 16th from The Roxie called Aunt Mary's (George shows me a coin purse from the place while we're recording) that he loved as well. Art was always encouraged at home. George's dad would bring home boxes of fax paper for him to draw on with ballpoint pens. He'd draw and draw and draw, often of things he saw. He remembers staring out the window of their place on 18th and watching cars go by, and he'd draw those. But it wasn't until high school at School of the Arts that George really started cranking it out. At SOTA, teachers encouraged George to draw whatever the hell he wanted to. He remembers drawing a skeleton pushing a paleta cart. When George tells me he attended SOTA 2004–2008, I mention that a number of past guests of this show went there around that time. "[The school] churned out a lot of us," he says. Joe Talbot, who co-wrote, produced, and directed The Last Black Man in San Francisco, went to SOTA in that era. George goes on a sidebar to share a story of getting caught smoking pot by a SOTA vice principal. I ask him to rattle off the SF schools he went to, and George obliges. Waldorf in The Mission for Kindergarten, then a Waldorf school in Pac Heights through eighth grade. They wanted him to attend their high school, but he chose SOTA instead. The Waldorf schools also encouraged art, which George appreciated. The social dynamics could be strange, though. You'd have kids like him who got into that school thanks to financial aid being classmates with kids who lived in mansions. After eighth grade, he needed a change. After he graduated from School of the Arts, George took some classes at City College. He'd been working summers painting houses for his dad, and eventually, college tailed off so he could work more. It also gave George more time for his artistic painting. This was about 20 years ago, and since then, he's been painting murals, hanging out with graffiti painters, doing work on Clarion Alley, and working with Precita Eyes to paint various houses and walls in The Mission. I ask whether George's art has evolved over the years. After thinking it over, he talks about the influence of cars and his mom and dad's comic book collections. He loved his mom's underground comics collections, and talks about going down to 23rd Street with them to Scott's Comics and Cards and SF Comic Book Co. next door. George points to artists like Spain Rodriguez, R. Crumb, and the Hernandez Brothers as having shaped his art from a young age. He'd go to Avalon on Mission for iron-on old English letters to have put on hats. The cholo influence of his neighborhood was seeping in, and George ran with it. The gumball machines on Mission with their foil stickers also played a part. He'd take those stickers home, many with images of cars on them, and draw from them. And of course the cars cruising Mission Street caught his artistic eye. George also touches on some of the violence he witnessed in The Mission in the Nineties, when he was a kid. George and his friends got around on skateboards, beater bikes, and Muni. He's quick to point out how, back in the day, you could take the 26-Valencia if you wanted to avoid potential trouble on the 14-Mission. I ask whether George got into any trouble himself. He says mostly harmless stuff like shoplifting. That was before his aforementioned time at School of the Arts. George has mixed feelings about the art scene, and I get it. He's had his art in shows, but prefers bookstores or community-oriented spaces vs. white-walled galleries. He doesn't feel like the audience that goes to those spaces is his. When he talks about painting at home after a long day at work, I ask George to talk about that work. He's currently part of a crew painting the new container cranes in the Port of Oakland. The ILWU is assembling the cranes and George and others use marine enamels to make the cranes look good. We end the podcast with how you can find George and his art. "You can find me on 24th Street," he says. No website. He's on Instagram at @paintergeorge415. We recorded this podcast at George's home in South San Francisco in April 2026. Photography by Nate Oliveira

Derek W7DLZ has earned the SOTA Mountain Goat award five times over and he's closing in on a sixth. Since his first activation in September 2021, Derek has operated from hundreds of summits across six associations and twenty-two regions at a pace that's hard to believe, and he shows no signs of slowing down.In this episode we cover his preferred radio, antenna choices, and operating philosophy.If you're into SOTA, QRP field ops, or just want to hear what genuine passion for a hobby sounds like, this one's for you.https://www.qrz.com/db/W7DLZJoin us as we explore how you can get involved in portable radio, QRP, and more in this episode of the All Portable Discussion Zone (AP/DZ). Every aspect of portable operations is covered in this biweekly podcast, from news and gear to achievements, the workbench, contests, awards, and beyond.**DISCORD INVITE**: https://discord.gg/WVE3vVveWU#apdz #SOTA #POTA #PortableOps #HamRadio #QRP # CW #Workbench #Electronics #homebrewradio #DIYradio #testequipment #RFprojects #amateurradio #hamradiopodcast #scratchbuild #ManhattanStyle #BITX #SolderSmoke #HFtransceiver #QRPSSB #directconversion #analogradio #morsecode

This Week on the Toy Power Podcast; we are leaning into the significance of the Episode number - being FOUR. So we decide to spotlight Twelve of the Key Teams consisting of Four Members throughout Pop Culture History! With each Team / Group mentioned; we address the Teams official Title; the Individual Characters that make up said Group; plus their noteworthy first appearance in Pop Culture History. An in-depth conversation why said Team is significant to each of us in our own personal way & what they really mean to us. With a good mix of Movies, Comics, TV & overall cultural phenomenon's; this is an interesting & unique way to highlight & chat towards some properties that we don't talk about very often... Or the back story to why we continue to talk about some of our Favourite properties so much!! Enjoy! Which Group / Team did we leave off our list; that you would have had on yours? Let us know!!Support the show: http://patreon.com/toypowerpodcastSee omnystudio.com/listener for privacy information.