Podcasts about T5

Eddie lifts the lid on her race week before diving into the mighty Race Across Scotland. Meanwhile, Gary's back from his Spanish siesta, slightly sunburnt and possibly 80% Sangria.The coaching dream team reunites to help listener Mark Breeze as he makes a comeback to running. Motivation, and practical tips incoming. Plus, we've got a brand new Tea & Trails Ultra Tales from the Trails. Last. but not least, Gary finaly manifests a 4 year long podcast goal.https://www.precisionhydration.com/performance-advice/nutrition/how-to-fuel-before-a-late-race-start/XMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREHardmoors - https://www.hardmoors110.org.uk/Ourea Events - https://www.oureaevents.com/Ultra Trails - https://www.ultratrails.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.comRaw Adventures - https://www.raw-adventures.co.uk/ Keeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7e

Will Doctor gives you the sharpest card for the action at TPC Southwind. Description: -Discussing top 5 on odds board -Matchup, t10 -1 outright -Sleeper, FRP, 2 lineups -Scoring, best bet

Jarlath McKenna is a standout figure in British ultrarunning, known for his rapid rise and impressive performances across a range of endurance events. Originally from Cookstown, County Tyrone in Northern Ireland, he now lives and trains in Newcastle.2022 was a breakthrough year: he set course records at The Wall 100km and Lakes in a Day 50-mile races.2023 saw him win the British Masters Cross Country Championship and the British 100km title at the Anglo-Celtic Plate.He made his 100-mile debut at the Lakeland 100, finishing second after being overtaken in the final mile.XMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREHardmoors - https://www.hardmoors110.org.uk/Ourea Events - https://www.oureaevents.com/Ultra Trails - https://www.ultratrails.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.comRaw Adventures - https://www.raw-adventures.co.uk/ Keeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7e

Episode 62: Show Notes Friend of the show, Han Chicago, is fast becoming one of our most frequent and favorite guests, and today he joins Trevor and Tom to reminisce about his recent transatlantic trip. First, Han walks us through Ben Schlappig's Lufthansa debacle before explaining how another travel aficionado, Matthew Klint, influenced his itinerary for his transatlantic Memorial Day weekend trip. Then, we learn why Han travelled not once but twice across the Atlantic on the same trip, how airlines change aircrafts without alerting passengers causing booking and seating complications, why flying economy across the Atlantic is a better option now than ever before, the ins and out of the Delta One Lounge at JFK, and Han's short stay in London. Trevor, Tom, and Han all share similar negative experiences of the Frankfurt airport, and after trying to ascertain why Frankfurt is one of Europe's least pleasant airports, they all agree that Lufthansa First Class is better in the air than on the ground. We also discuss the new T5 train at O'Hare International Airport, what American Airlines is getting wrong with their new 787 flagship seats, the standout moments from Han's transatlantic journey, and everything that our guest has planned for the near future. To end, we unpack Boeing's never-ending woes, Han's final thoughts on JetBlue's transatlantic product, and what the future of aviation may hold in terms of Business and First Class layouts. Key Points From This Episode: [0:00:00] Han Chicago shares important travel news about Ben Schlappig and Lufthansa.    [0:10:00] The way Matthew Klint influenced Han's transatlantic Memorial Day weekend trip.   [0:15:21] How one transatlantic trip became two, and being “Qatared” onto a lesser aircraft.     [0:18:17] Why transatlantic trips in economy are more appealing today than ever before.    [0:20:40] The Delta One Lounge at JFK, a short London stay, and travelling from Heathrow.  [0:32:50] Frankfurt versus Munich, and comparing aircraft to address airline inconsistencies.  [0:43:16] Han's highs and lows from his time at Frankfurt airport.    [0:55:15] Why Lufthansa First Class is a better in-air experience compared to on the ground.  [1:02:28] Landing at O'Hare, the new T5 train, and American Airlines' 787 flagship seats.    [1:10:35] The flight from Frankfurt to Munich and other standout moments from Han's trip. [1:14:20] Acquisitions and everything else our guest has planned for his future.   [1:16:42] Unpacking Boeing's persistent woes. [1:22:48] Han's review of JetBlue's transatlantic product.   [1:29:24] The future of aviation: A new era of Business and First Class products. Quotes: “The devil's in the details on some of these partner programs.” — @tmount [0:16:14] “Guys, to me, [the Delta One Lounge at JFK] is one of the best lounges in the US, and it can rival a lot of lounges overseas, too.” — @hanchicago [0:20:54] “I'm trying to fly all the A380s on all the airlines that still fly them. After Lufthansa, the only one I think I have left now is Korean [Air].” — @hanchicago [0:31:43] “Frankfurt is one of the least pleasant airports in Europe. Considering you've got Charles de Gaulle and Heathrow included there, that's saying something.” — @TktweetsKim [0:44:57] “Luckily, I made all my connections. So many times, I could've missed something; something could've gone wrong. That's definitely happened to me on these kinds of [trips before], but Memorial Day weekend, it all worked out.” — @hanchicago [1:02:12] “I'm always looking for that special feeling. And I have to say, as much as we started this episode off about bagging on Lufthansa for this and that, I would say that they deliver that [feeling] for me.” — @hanchicago [1:10:48] “It's turbulent times for us in the world, on various fronts.” — @hanchicago [1:12:38] “Everyone's planning a new first-class seat, but because of Boeing's woes, everyone's putting that off as to when they're going to introduce it.” — @hanchicago [1:16:34] “It's a blessing to get on any of these aircrafts. Let's never forget. It's a blessing to be able to fly the way that we fly [and] in the luxury that we get to experience.” — @tmount [1:31:52] Links Mentioned in Today's Episode: Han Chicago on X Han Chicago on Instagram Episode 30: First Time Istanbul Visit with Han Episode 53: Aspirational Flying with Han Chicago Lufthansa Allegris First Class ‘Frustrating Lufthansa Allegris First Class Upgrade Glitch' ‘Lol, Oops: Downgraded From Lufthansa Allegris First Class' ‘American's Brand New Boeing 787 Has Serious Maintenance Issues' Ben Schlappig on Instagram Matthew Klint | Live and Let's Fly Alaska Airlines JetBlue Etihad Airways Qatar Airways Virgin Atlantic Delta One Virgin Atlantic Clubhouse Chase Sapphire Lounge SkyClub Priority Pass Korean Air Thai Airways American Airlines United Airlines U.S. Bank JonNYC on X Thomas Kim on X Trevor Mountcastle on X The Milenomics Podcast Network

The Lakeland 50 & 100 is more than a race, it's a gathering of grit, spirit, and togetherness. Thousands of legends weave through some of the most stunning landscapes in the country,Coniston welcomed familiar faces this year. Eddie cheered on her athletes and every runner chasing their dreams. And Gary? He returned to the start line once more, eyes set on his fifth Lakeland 100 finish. Here's to every runner out there pushing limits, and to the magic that happens when people come together on the trails.Pic Credit - No Limits PhotographyXMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREHardmoors - https://www.hardmoors110.org.uk/Ourea Events - https://www.oureaevents.com/Ultra Trails - https://www.ultratrails.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.comRaw Adventures - https://www.raw-adventures.co.uk/ Keeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7e

Anna Troup is a powerhouse in British ultrarunning, and her story is nothing short of epic. After dominating the Montane Summer Spine Race in 2021 and 2022, she suffered a serious foot injury that kept her sidelined for nearly three years. But in June 2025, at age 55, she made a jaw-dropping comeback: winning the 268-mile race outright in 84 hours, 56 minutes, and 37 seconds, finishing more than six hours ahead of the next competitor.XMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREHardmoors - https://www.hardmoors110.org.uk/Ourea Events - https://www.oureaevents.com/Ultra Trails - https://www.ultratrails.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.comRaw Adventures - https://www.raw-adventures.co.uk/ Keeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7e

It's race day at the 2025 Lakeland 100, and Gary's lacing up with a quiet confidence, gently brushing aside those whispers of doubt. They'll fade away as soon as the gun goes. Meanwhile, Eddie shares memories of the Isle of Wight's magic & friendships forged on the trails.Strava's lit up with big miles and epic vert, and a bloody Tea & Trails Ultra Tales from the Trails.To everyone daring to toe the line this weekend, go well, go bravely. You've already done the hardest part: showing up.Also, don't be shy out there. If you spot Gary or Eddie on the trail, give 'em a wave.XMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREHardmoors - https://www.hardmoors110.org.uk/Ourea Events - https://www.oureaevents.com/Ultra Trails - https://www.ultratrails.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.comRaw Adventures - https://www.raw-adventures.co.uk/ Keeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7e

Debbie Martin-Consani - aka UltraRunDMC - is a legend in the world of ultra running. Known for her grit, humor, and relentless drive, she's one of the UK's most accomplished endurance athletes. In 2025, she tackled the Western States 100, She trained specifically for heat acclimation and quad-busting descents, balancing it all with a full-time job and coaching responsibilities.XMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREHardmoors - https://www.hardmoors110.org.uk/Ourea Events - https://www.oureaevents.com/Ultra Trails - https://www.ultratrails.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.comRaw Adventures - https://www.raw-adventures.co.uk/ Keeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7e

Eddie kicks things off this week with stories from her grand tour of Scotland, full of wild landscapes and even wilder adventures. Both hosts have been soaking up some much-needed family time, surviving dehydrated runs, and narrowly dodging toilet disasters...Gary, along with hundreds of other trail runners, is deep in the taper trenches for the Lakeland 50 or 100. The countdown is on, and the excitement is building.This week's Brew with the Coaches dives into what race week really looks like: the nerves, the prep, and the little rituals that help you toe the line with confidence.Grab a cuppa & settle in. Race day is coming, and you're more ready than you think.

Colin Murphy is the Race Director for the Windermere Marathon, which is now part of the Great Run series. The event, known for its stunning route around Lake Windermere, will be held on 15 June 2025 and marks a new chapter under the Great Run Company's stewardship.Colin also leads the Altra 13 Valleys Race series, where four stunning routes weave through the heart of the Lake District National Park. His vision celebrates the fusion of challenging terrain and natural beautyPic Credit - James Streethttps://www.13valleysultra.com/https://www.altrarunning.eu/uk/XMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.comRaw Adventures - https://www.raw-adventures.co.uk/

This week, we're thrilled to share the Tea & Trails Ultra Live Podcast, a truly special evening that brought together old friends, new faces, and plenty of laughter. We had the honour of sharing the stage with the brilliant Trish, Mel, Lucy, and Robyn, whose stories and energy lit up the room.The night was wrapped in something beautiful, as the ever-inspiring Running Reverend Lawrence Basham closed things out with a heartfelt message of togetherness.Yes, the audio may have had its hiccups, but the spirit of community was loud and clear. Thank you all so much for being part of it, and for making it unforgettable.See you next year for more trails, tea, and tales.XMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.comRaw Adventures - https://www.raw-adventures.co.uk/

Luke Grenfell-Shaw is a remarkable endurance athlete, and cancer advocate whose story reads like a masterclass in resilience. Diagnosed with stage 4 sarcoma at just 24, he refused to let the label “incurable” define him. Instead, he coined the term “CanLiver”.He's cycled 30,000 km from Bristol to Beijing on a tandem bike, inviting hundreds of others, including fellow CanLivers, to join him along the way. He's since become a professional trail runner for Brooks, and he casually ran an 80-minute half marathon during chemotherapy.https://www.alifeintandemfilm.com/https://www.instagram.com/lukegshaw/ XMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

This is a link post. I wrote a reply to the Bentham Bulldog argument that has been going mildly viral. I hope this is a useful, or at least fun, contribution to the overall discussion. “One pump of honey?” the barista asked. “Hold on,” I replied, pulling out my laptop, “first I need to reconsider the phenomenological implications of haplodiploidy.” Recently, an article arguing against honey has been making the rounds. The argument is mathematically elegant (millions of bees, fractional suffering, massive total harm), well-written, and emotionally resonant. Naturally, I think it's completely wrong. Below, I argue that farmed bees likely have net positive lives, and that even if they don't, avoiding honey probably doesn't help them. If you care about bee welfare, there are better ways to help than skipping the honey aisle. Source Bentham Bulldog's Case Against Honey Bentham Bulldog, a young and intelligent [...] ---Outline:(01:16) Bentham Bulldog's Case Against Honey(02:42) Where I agree with Bentham's Bulldog(03:08) Where I disagree--- First published: July 2nd, 2025 Source: https://forum.effectivealtruism.org/posts/znsmwFahYgRpRvPjT/eating-honey-is-probably-fine-actually Linkpost URL:https://linch.substack.com/p/eating-honey-is-probably-fine-actually --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

This week, we raise our mugs and reflect on the inaugural Tea & Trails Ultra, an unforgettable celebration of endurance, friendship, and the wild beauty of the Lake District.

Sean Conway is a British-Zimbabwean ultra-endurance athlete known for pushing the limits of human endurance. He has set multiple world records, including completing 105 Ironman triathlons in 105 days, becoming the first person to swim the length of Britain, and achieving the fastest self-supported cycle across Europe. His adventurous spirit has led him to complete a 4,200-mile triathlon, cycle around the world, and run a marathon in every UK national park.Conway has also written several books and starred in documentaries about his challenges.XMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

Check out our latest #JSATV interview from DCD Connect New York with David Mettler, EVP of Sales and Marketing at T5 Data Centers! David shares insights on the growth of T5's three key business segments – data center development, construction, and operations – and how they address capacity challenges in the rapidly evolving digital infrastructure industry. David also discusses the impact of AI on data center design, power density, and how T5 continues to innovate and meet demand. 

Cue the drumroll... the wait is finally over—the very first Tea & Trails Ultra has arrived! This week, we're diving headfirst into epic long runs that test the limits of sanity, other podcasts, and reliving a trail fuel related disaster. Of course, we also serve up our usual dose of TV talk, because even ultrarunners need sofa time. And through it all, we're reminded that sometimes the boldest move is choosing to rest. So here's to the noble rest day: the quiet champion whispering, “You've earned that nap... and maybe just one more episode.”https://paulforbrainrecovery.enthuse.com/cf/160-mile-yorkshire-wolds-way-challengeXMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

Lowri Morgan is a remarkable Welsh television presenter, adventurer, and runner. She's one of the very few people to have completed both the grueling 350 mile 6633 Ultra in the Arctic and the Amazon Jungle Ultra Marathon.Beyond her athletic feats, she's a BAFTA winning broadcaster who's presented shows like Scrum V on the BBC and Uned 5 on S4C. She's also dived to the wreck of the Titanic and produced award-winning documentaries about her adventures.What's even more inspiring is that she overcame serious injuries, only to go on and conquer some of the world's toughest races.XMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

This week, we plummeted to new depths and somehow, Glory Holes ended up in the show. Don't ask. We move swiftly on (with some emotional scarring) to the real meat of the episode: fuelling your ultra without, breaking hearts, not wind, and how Gary's Garmin cost him precious minutes.We also crown the worst checkpoint food of all time. Plus, Gary dishes out his Swaledale Marathon tales.XMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

This week on the Live to Walk Again Podcast we had the pleasure of speaking with Brandon Parkes who is a Disability Advocate, Digital Creator, Spinal Cord Injury Survivor, and a Twitch Streamer. We talked to Brandon about the rare infection that caused damage to his spinal cord and left him paralyzed at the T5/6 level, his love of wheelchair basketball, and the content he's putting out from gaming to comedy to motivation for other people dealing with an SCI. Connect with Brandon at his social media links below!! Please listen, like, rate, review, and share the podcast!! We're just trying to find a cure for paralysis!!   Brandon Parkes: IG: @professorparkes Twitter: @professorparkes Twitch: @professorparkes12 Tik-Tok: @professorparkes_               @professorparkesclips  

Joe Barrs recently, one of the first-ever finishers of the grueling 293-mile Montane Arctic Spine Race, a brutal ultramarathon across Sweden's Kungsleden Trail, where temperatures can plummet to -40°C and competitors haul their supplies on sleds.A seasoned adventurer and former Royal Marines Commando, Joe was drawn to the race by the camaraderie of the Spine Race community. He completed the course in eight days, 15 hours, and 19 minutes, tying for second place with fellow racer Ulf Nore. His background includes winter ultramarathons, Alpine skiing, and mountaineering, so he's no stranger to extreme endurance.Pic Credits - @willbaldlygo & @trail_bearXMILES UK - Listeners now receive 10% of their order value back as store credit via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

Welcome to a Poetic Tea & Trails Podcast, This week brings a slight format shake-up, but nothing drastic, don't panic!Expect stories of epic Scottish mountain runs, unexpected GI battles, and a bit of dog poop too. But it's not all a struggle! There's ice cream fueled Swaledale Marathon fun, moments of triumph, and a bit of Strava inspiration to keep us all motivated. Also, our coaches talk about how do you track your running? Miles or time on feet?So lace up, breath & believe, and we hope you enjoy episode 125 of the Tea & Trails Podcast.XMILES UK - 10% discount via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

PRESENTACIÓN LIBROS 00:01:45 La muy catastrófica visita al zoo (Joël Dicker) 00:03:20 Juliette (Camille Jourdy) 00:04:15 Happy Endings (Lucie Bryon) 00:05:05 Las gratitudes (Delphine de Vigan) 00:06:20 Apocalipsis (Stephen King) 00:08:00 La singularidad está más cerca (Ray Kurzweil) 00:09:55 Crímenes rurales (Las amigas estupendas) 00:12:15 Cuál es tu tormento (Sigrid Nunez) 00:13:35 Un lugar feliz (Emily Henry) 00:14:55 Casi nada que ponerte (Lucía Lijtmaer) 00:16:05 El mito del idealismo americano (Noam Chomsky) 00:18:10 El factor Rachel (Caroline O'Donoghue) 00:19:10 Todos en este tren son sospechosos (Benjamin Stevenson) 00:20:20 Tres (Dror Mishani) 00:22:10 Señoras bien; La soledad de la Reina; Ena (Pilar Eyre) 00:24:05 Deberes: La mujer de arriba (Freida McFadden) / Mi familia y otros animales (Gerard Durrell) PELÍCULAS 00:26:20 Lost in translation 00:28:00 Otro pequeño favor 00:28:35 Destino final: Lazos de Sangre 00:29:45 Matrimonio mortal en Carolina del Norte 00:32:40 La fuente de la eterna juventud 00:34:10 Fred & Rose West. Love & Murder 00:36:05 Historias para no contar 00:36:40 Misión Imposible: Sentencia Mortal, parte 2 00:38:10 La reina del baile 00:39:30 Matteo Lane: The Al Dente Special 00:40:00 Lilo & Stitch 00:41:00 La viuda negra 00:44:55 La maldición del colgante 00:46:25 Twisters 00:47:40 Ballerina SERIES 00:49:55 La canción 00:51:15 Prisoner of the Prophet 00:52:15 The killing of Dolores McCrea 00:53:55 Sirenas 00:55:45 Onision in real life 00:57:15 Los crímenes del Tetris 00:58:45 El diablo en la familia: la caída de Rubby Frankle 01:01:20 Fred & Rose West. Una historia británica de terror 01:02:55 El asesinato no resuelto de Beverly Lynn Smith 01:04:10 Los secretos que ocultamos 01:05:20 Felipe y Letizia 01:06:25 Citizen detective (T1) 01:07:50 Matlock (T1) 01:09:25 The Studio (T1) 01:11:00 Dept Q (T1) 01:12:55 Doctor Who (T2) OJO: ESPOILERS 01:16:00 Elsbeth (T2) 01:17:41 The last of us (T2) 01:18:20 Hacks (T4) 01:19:50 El cuento de la criada (T5) 01:22:05 Grey´s anatomy (T21) OJO: ESPOILERS 01:24:50 Deberes: Cuando nadie nos ve / Yellowjackets (T3) 01:27:20 DESPEDIDA En este programa suenan: Radical Opinion (Archers) / Siesta (Jahzzar) / Place on Fire (Creo) / I saw you on TV (Jahzzar) / Bicycle Waltz (Goobye Kumiko)

Honed in the peat bogs of the dark peak and the lake district rain, suffering enthusiast and of the belief that not much in life can't be improved with a cup of Yorkshire tea or a dunk in a cold body of water.Not our words, but those of tea-slurping Cape Wrath Ultra champion and this week's guest, Sarah Ingram!Entries are open for the 2026 event - https://www.capewrathultra.com/Photo credit: No Limits PhotographyXMILES UK - 10% discount via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

Året er nu blevet 1994 i Niels og Bollerslevs marathon-gennemlæsning af samtlige bilrevyer! I denne omgang er der kei-cars, Volvo 850 T5 og så er der en som har "vundet" en Supra.Podcasten indeholder reklame.Tak til vores samarbejdspartnere:OK Oktan 100.Engel Workwear.Scania Danmark.Aros Forsikring.

This week we do an Old County Tops deep dive! Does the bromance continue or was it sad times on the trails. Let's find out. Kudos to everyone who toed the line and the team for putting together another awesome race!Held in May, The Old County Tops Fell Race covers 37 miles and involves around 10,000 feet of ascent.The exact distance and amount of ascent are dependant on the route you choose!This weeks Brew With the Coaches question is about self doubt.XMILES UK - 10% discount via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/GOODR - Use code GOTEAANDTRAILS to reveive 10% off your order.https://goodr.avln.me/c/VLEmsAIZCDtmLIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusuk.avln.me/c/kBWmOJaEiByDContent may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

T5's CEO Pete Marin talks about having an owner's mindset when it comes to data center development, construction and operations - and the immense scale of growth that will be needed to support AI and high performance computing.

Will Doctor gives you the sharpest card for the action at Jack's Place. -Going over top players on odds board -1 matchup -2 p2p -3 outrights (40/1, 75/1, 110/1) -Sleeper, 2 FRP, scoring -Best Bet Will Doctor delivers a focused and stat-driven breakdown of the Memorial Tournament at Muirfield Village, offering sharp PGA betting insights, critiques of tour policies, and precise player analysis. He opens with a recap of Week 21's 10-unit loss, missing on Ben Griffin's win despite Griffin's elite short game and putting. Griffin, a two-time winner this season, overcame poor driving stats at Colonial and held off Mati Schmidt and Bud Cawley. Doctor also critiques picks like JT Poston, who faltered due to big numbers, and others like Riley, Højgaard, and Rai, who failed to deliver. Scottie Scheffler is highlighted as a dominant force at Muirfield, with podium finishes in his last three appearances, though Doctor avoids betting him at 3-1 due to putting issues and his third straight week competing. Rory McIlroy receives heavy criticism for skipping his third signature event of the year, including Memorial, without informing host Jack Nicklaus. Doctor dissects the PGA's approach to field size, arguing it unfairly excludes players like Higgo and Phillips while excessively relying on sponsor exemptions for names like Fowler and Snedeker. Muirfield Village is described as a long and punishing course with narrow fairways and small bentgrass greens that reward elite ball-striking and putting accuracy. Top betting lines are reviewed: Morikawa (16-1) is doubted due to form; Schauffele (18-1) lacks Sunday contention; Justin Thomas (25-1) and Patrick Cantlay (25-1) show concerning stats despite course fits. Doctor recommends a matchup bet of Taylor Pendrith over Davis Thompson, citing Pendrith's recent T5 and solid form. Key top finishes include Tony Finau Top 20 (+120) and Shane Lowry Top 10 (+250), with Finau's ball-striking and putting trending positively. Three outright picks are revealed: Lowry (40-1), Novak (75-1), and Bud Cawley (110-1), each supported with course history and recent performance data. Cawley's comeback from injury and recent top-5 finishes are especially praised. Sleeper pick is Cawley to Top 10 (+550), and First Round Top 10s include Lowry (+275) and Novak (+400). Fantasy lineups include combinations of Scheffler, Lowry, Novak, Fowler, Cawley, and Graceman, with strategy adjusted for DraftKings and PGA Tour.com rules. Doctor projects a winning score of 10-under due to rain-softened conditions in Dublin, Ohio. The final best bet is Novak Top 20 (+175), emphasizing his current form and statistical edge. For the latest on the world of golf, follow Doc on X @ drmedia59 Learn more about your ad choices. Visit megaphone.fm/adchoices

Kallum Pritchard is a formidable trail and ultra-distance runner from the UK, renowned for his impressive performances in endurance events. He has excelled in prestigious races such as the Country to Capital Ultra, the Centurion Thames Path 100, and the Manchester to Liverpool Ultra, frequently securing podium finishes.Recently, Pritchard claimed second place in the challenging Hundred Hills 50km, a race that demands resilience with over 4,000 feet of climbing through the scenic Chilterns.With a remarkable ability to adapt across varied terrains and distances, Pritchard continues to distinguish himself as a standout figure in the UK ultra-running scene.XMILES UK - 10% discount via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/LIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusequipment.co.uk/Content may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support!Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

Johnny Vegas leads the 2025 PGA Championship by two over Si Woo Kim, Matty Fitz, and Matthieu Pavon. Round of the day from The Pro Max Homa with a 64 to get to -5 (T5). We break it all down: leaderboard, MCs, Mudballs, TIO, and more! Presented by High Noon. Support our sponsors: High Noon - Sun's Up! H&B - NLU10 The Stack - code NOLAYINGUP Join us in our support of the Evans Scholars Foundation: https://nolayingup.com/esf PGA Champ mystery box: go to subscribe.nolayingup.com/pga-2025 for all the details Learn more about your ad choices. Visit megaphone.fm/adchoices

Lianne van Dijk embodies the spirit of perseverance and adventure, inspiring countless runners to push beyond their limits. As an ultrarunner, writer, and coach, she shares her deep passion for trail and mountain running, guiding others on their endurance journeys.Her dedication has led her to remarkable achievements, including a second-place finish in the women's race at the Northern Traverse in 2025, an extraordinary feat in one of the UK's toughest ultra-distance events.Through coaching and storytelling, she reminds us that endurance sports are not just about speed or distance, but about resilience, discovery, and personal triumph. Whether on rugged trails or guiding others toward their goals, Lianne continues to be a force for positivity and inspiration in the outdoor endurance community.This week's Brew with the Coaches is all about how to crush a HOT race.XMILES UK - 10% discount via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/LIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusequipment.co.uk/Content may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support.Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

Sean Merryweather is a British ultra-runner and obstacle course racer who has won multiple endurance events, including the GB Ultra Chester 50, Manchester to Liverpool Ultra, and GB Ultra Snowdon 50. Recently, he recently set a new course record at the Chester Ultra 100, finishing in 16 hours, 20 minutes, and 5 seconds. Smoking fast!Outside of running, Sean has a background in football and holds a black belt in kickboxing. His favorite races tend to be in the mountains, and he lives in Cheshire.This week's Brew with the Coaches is all about injury prevention.XMILES UK - 10% discount via the link below.https://xmiles.avln.me/c/RiwxnARvfHeRRunderwear - Use code TEATRAILS15 for 15% off your orderhttps://runderwear.avln.me/c/GPVNMgMfYfLPSHOKZ - Use code TEA102025 to receive £10 off.https://uk.shokz.com?sca_ref=7394994.MfsDQZBAeLQihiPrecision Fuel & Hydration https://visit.pfandh.com/3GKxHjUPrecision Fuel & Hydration Planner https://visit.pfandh.com/3RuP25zHarrier - Use code TEA10 for 10% off. https://harrierrunfree.co.uk/Fenixlight Limited - Use code T&T5 for 5% off your order.https://www.fenixlight.co.uk/Protein Rebel - Use code Tea15 for 15% off your first order. https://proteinrebel.com/Centurion Running - Use code TEAANDTRAILS10 to receive 10% off *Excluding Sale Items.https://centurionrunning.com/LIFE JACKET SKIN PROTECTION - Use code GOTYOURBACK for 10% off your first order.https://lifejacketskin.com/PRIMUS UK - Use code TT-PRIMUS-20 for 20& off.https://primusequipment.co.uk/Content may contain affiliate links which can help support and grow this channel at no extra cost to you. Thanks for your continued support.Brew with the Coaches - CLICK HEREKeeping Dry & Staying Warm - https://amzn.to/42JCexqFix Your Feet - https://amzn.to/3FE4nf0Running Challenges by Keri Wallace - https://amzn.to/3KGdU7eROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrUltra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/Pen Llyn Ultra - https://penllyn.niftyentries.com

This week, the MotoXpod features Monster Energy Yamaha Star Racing's Pierce Brown, who has been recovering from a broken T5 vertebrae. We will check in with him and see what his plans are going forward. Then Muc-Off/FXR/ClubMX's Devin Simonson will be on the phone talking about his return to racing and finishing inside the top 10. During the Yamaha Open Chat, we will discuss the incident during the second 450 qualifying session, where some believe Cooper Webb intentionally got in the way of Chase Sexton. Director of Operations for Supercross, Mike Muye, will also join to discuss the logistics of setting the Supercross schedule. Let us know you're thoughts below. If you have any questions for the guests let us know. You can also email Motoxpodshow@Gmail.com if you want to get in on the Evan's Coolant Emails, T-Bolt USA Top 5, FXR Picks for East Rutherford, and the X Brand Forum Check-In. Watch live on the Vital MX YouTube channel starting at 4:30 Pacific/7:30 Eastern.

Patrick rode a stinger and the longest made putt in 17 years on the PGA Tour to a T5 at the Valero Texas Open in San Antonio. Sponsored by Goldenwest Credit Union. 

Danny Stucker and Aaron CoxI met both of these guests today in the Vintage Mustang 6 Forum on Facebook, even had a chance to watch the miracle of a new wiring harness and all sorts of goodness being added to a 6-banger in SoCal. Excited to have maybe a more technical conversation than I am ready for. A little scared but confident in my ability to hit the "mute" button. Danny Stucker and Aaron Cox, welcome to Ford Mustang the Early Years podcast.Danny Stucker Notes:How long have you owned your ride?:Since November 29th, 2020If you've made improvements to your classic car or restored it, what work have you done?:I have made substantial modifications to the 200 inline 6 including a Vintage Inlines alloy head, multiport fuel injection, T5 conversion, 9" rear end, wilwood disc brakes . All new stock interior. Basically everything has been done that is not cosmetic outside.What plans do you have for improvements/restoration/modification of your classic car?:I want to do the Street or Track front coil over suspension upgrade.Danny's YouTube Channel: https://www.youtube.com/mechtrician1Aaron Cox Notes:How long have you owned your ride?:8 years for this oneWhat is his/her name?:Her name is SashaIf you've made improvements to your classic car or restored it, what work have you done?:A very long list of modifications. Forged engine and turbocharged with electronic fuel injection.What plans do you have for improvements/restoration/modification of your classic car?:Track days, cars and coffee and enjoymentConnect with the show:@mustangpodcasthttps://www.instagram.com/mustangpodcast/An Expert's Guide to Maintaining Your Classic Mustangwww.TheMustangPodcast.com/repairSponsored by: National Parts Depotwww.npdlink.comWith 4 warehouses nationwide, you'll get your parts fast!"Keep it safe, keep it rollin' and keep it on the road. Until next time!" Doug Sandlerdoug@turnkeypodcast.com

Hour 1 of the Big Show+ with Patrick Dumas and GVP is on demand!!! The guys started off with the flames potentially giving Parekh and Suniev playing time this season,  Martin Pospisil had to leave the game with a injury, Adam Klapka preforming, The motivation to keep winning in the group, The team matchups throughout the season, the importance of overtime and shootout losses. (20:06) Later on, Pat Mayo joins the show to talk about the masters coming up. He brings an interesting stat were the winner of the masters has not been from T5 in the last 5 years. Also, who can win the masters this weekend, and how are individual players doing coming in too the Masters, and what Canadian has the best chance at the Masters? The views and opinions expressed in this podcast are those of the hosts and guests and do not necessarily reflect the position of Rogers Media Inc. or any affiliate.

2x Augusta National Women's Amateur participant Gianna Clemente shares what it's like to compete at Augusta with her dad Patrick on the bag. She also paints a picture of what it felt like to compete in the Drive, Chip & Putt National Finals as a 9-year-old in 2017. She returns for her 3rd ANWA this year after playing in the final group last year with winner Lottie Woad and shares what she learned from 2024 when she finished T5.

Mohamed Osman joins to discuss MindsAI's highest scoring entry to the ARC challenge 2024 and the paradigm of test-time fine-tuning. They explore how the team, now part of Tufa Labs in Zurich, achieved state-of-the-art results using a combination of pre-training techniques, a unique meta-learning strategy, and an ensemble voting mechanism. Mohamed emphasizes the importance of raw data input and flexibility of the network.SPONSOR MESSAGES:***Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich. Goto https://tufalabs.ai/***TRANSCRIPT + REFS:https://www.dropbox.com/scl/fi/jeavyqidsjzjgjgd7ns7h/MoFInal.pdf?rlkey=cjjmo7rgtenxrr3b46nk6yq2e&dl=0Mohamed Osman (Tufa Labs)https://x.com/MohamedOsmanMLJack Cole (Tufa Labs)https://x.com/MindsAI_JackHow and why deep learning for ARC paper:https://github.com/MohamedOsman1998/deep-learning-for-arc/blob/main/deep_learning_for_arc.pdfTOC:1. Abstract Reasoning Foundations [00:00:00] 1.1 Test-Time Fine-Tuning and ARC Challenge Overview [00:10:20] 1.2 Neural Networks vs Programmatic Approaches to Reasoning [00:13:23] 1.3 Code-Based Learning and Meta-Model Architecture [00:20:26] 1.4 Technical Implementation with Long T5 Model2. ARC Solution Architectures [00:24:10] 2.1 Test-Time Tuning and Voting Methods for ARC Solutions [00:27:54] 2.2 Model Generalization and Function Generation Challenges [00:32:53] 2.3 Input Representation and VLM Limitations [00:36:21] 2.4 Architecture Innovation and Cross-Modal Integration [00:40:05] 2.5 Future of ARC Challenge and Program Synthesis Approaches3. Advanced Systems Integration [00:43:00] 3.1 DreamCoder Evolution and LLM Integration [00:50:07] 3.2 MindsAI Team Progress and Acquisition by Tufa Labs [00:54:15] 3.3 ARC v2 Development and Performance Scaling [00:58:22] 3.4 Intelligence Benchmarks and Transformer Limitations [01:01:50] 3.5 Neural Architecture Optimization and Processing DistributionREFS:[00:01:32] Original ARC challenge paper, François Chollethttps://arxiv.org/abs/1911.01547[00:06:55] DreamCoder, Kevin Ellis et al.https://arxiv.org/abs/2006.08381[00:12:50] Deep Learning with Python, François Chollethttps://www.amazon.com/Deep-Learning-Python-Francois-Chollet/dp/1617294438[00:13:35] Deep Learning with Python, François Chollethttps://www.amazon.com/Deep-Learning-Python-Francois-Chollet/dp/1617294438[00:13:35] Influence of pretraining data for reasoning, Laura Ruishttps://arxiv.org/abs/2411.12580[00:17:50] Latent Program Networks, Clement Bonnethttps://arxiv.org/html/2411.08706v1[00:20:50] T5, Colin Raffel et al.https://arxiv.org/abs/1910.10683[00:30:30] Combining Induction and Transduction for Abstract Reasoning, Wen-Ding Li, Kevin Ellis et al.https://arxiv.org/abs/2411.02272[00:34:15] Six finger problem, Chen et al.https://openaccess.thecvf.com/content/CVPR2024/papers/Chen_SpatialVLM_Endowing_Vision-Language_Models_with_Spatial_Reasoning_Capabilities_CVPR_2024_paper.pdf[00:38:15] DeepSeek-R1-Distill-Llama, DeepSeek AIhttps://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B[00:40:10] ARC Prize 2024 Technical Report, François Chollet et al.https://arxiv.org/html/2412.04604v2[00:45:20] LLM-Guided Compositional Program Synthesis, Wen-Ding Li and Kevin Ellishttps://arxiv.org/html/2503.15540[00:54:25] Abstraction and Reasoning Corpus, François Chollethttps://github.com/fchollet/ARC-AGI[00:57:10] O3 breakthrough on ARC-AGI, OpenAIhttps://arcprize.org/[00:59:35] ConceptARC Benchmark, Arseny Moskvichev, Melanie Mitchellhttps://arxiv.org/abs/2305.07141[01:02:05] Mixtape: Breaking the Softmax Bottleneck Efficiently, Yang, Zhilin and Dai, Zihang and Salakhutdinov, Ruslan and Cohen, William W.http://papers.neurips.cc/paper/9723-mixtape-breaking-the-softmax-bottleneck-efficiently.pdf

Josh is joined by The Rewind's most frequent guests from 2024 as everyone goes on the record with their Top 10 movies of the year. Each segment appears as follows: Daniel Lima (Beginning-36:05) Josh Brown (36:07-1:15:57) Elijah Howard (1:16:00-1:52:16) Fred Kolb (1:52:19-2:34:15) Ben Luben (2:34:18-3:23:36) Joe Morgan (3:23:38-End) Also, The Rewind's composite Top 10 for 2024 is as follows: 1. Flow 2.The Brutalist 3.Challengers 4.A Different Man T5.Anora T5.Dune: Part 2 T5. Close Your Eyes T8. The Seed of the Sacred Fig T8. I Saw the TV Glow 10. La Chimera

Bonjouuuuur ! Nous revoilà avec un journal de lecture, où l'on vous parle de nos lectures au fil de l'enregistrement. Comme toujours, c'est relativement dense, mais avec plein de belles découvertes :DOn espère que ça vous plaira, n'hésitez pas à nous donner vos avis, via instagram @entrenospages ou par mail : entrenospages@gmail.com.Bonne écoute !Les livres abordés dans cet épisode sont :- Tsubasa : World chronicle T2 et T3, CLAMP- Les embrasés, Stefan Platteau- Le golem de pierre, Claire Krust- La souris du futur, Collectif- Les aigles de Vishan Lour, Pierre Bottero- Petit pays (BD), Marzena Sowa et Sylvain Savoia- Et à la fin, ils meurent, Lou Lubie- Le trône de fer T5, George R. R. Martin- Les carnets de l'apothicaire T1 et T2, Itsuki Nanao et Nekokurage- Le coeur en braille (BD), Joris Chamblain et Anne-Lise Nalin- Lightfall T1, Tim Probert- Le jour où le bus est reparti sans elle, Béka et Marko- Les 5 terres : Demeus Lor, Lewelyn et Sylvain Guinebaud- Homo sapienne, Niviaq KorneliussenMusic promoted by La Musique LibreJoakim Karud - Canals: https://youtu.be/zrXbhncmorcJoakim Karud: https://soundcloud.com/joakimkarud

Purchased about the same time I acquired Jewel, my 1965 convertible, today's guest Ron Bossen got his 1965 coupe. Helsinki, Finland continues bringing the Mustang brand out strong. Welcome, Ron to Ford Mustang The Early Years podcastFord Mustang, The Early Years Podcast -- Guest Interview ApplicationDo you own an early year Mustang?:Yes! A 1965 Mustang CoupeIf you own a Mustang, how long have you owned your ride?:4 years+If you own a Mustang or classic car, have you named your car? If so, what is his/her name?:RowenaIf you've made improvements to your classic car or restored it, what work have you done?:New wiring bumper to bumper, LED's on all exterior and interior lights except headlights, heater rebuild, shocks and suspension all four corners, T5 manual transmission, power windows, pony interior, center console, wheels and tiresWhat plans do you have for improvements/restoration/modification of your classic car?:Repair leaky windows, add emergency flashers, some minor paint and body work, maybe three-point seat belts, other small stuff like seat belt and parking brake reminder lightsThe Facebook GroupTheMustangPodcast.com/facebookhttps://www.facebook.com/groups/185146876036328Instagram@mustangpodcasthttps://www.instagram.com/mustangpodcast/@fordpickuppodcast https://www.instagram.com/fordpickuppodcast/An Expert's Guide to Maintaining Your Classic Mustangwww.TheMustangPodcast.com/repairSponsored by: National Parts Depotwww.npdlink.comWith 4 warehouses nationwide, you'll get your parts fast!"Keep it safe, keep it rollin' and keep it on the road. Until next time!" Doug Sandlerdoug@turnkeypodcast.com

Episode SummaryImagine if AI could detect and fix vulnerabilities in your code faster and with greater precision than ever before. That future is already here! In today's episode, we're joined by Berkay Berabi, an AI researcher and Senior Software Engineer at Snyk, to dive into the cutting-edge world of AI-powered vulnerability detection. Berkay offers insight into how Snyk is leveraging a hybrid AI approach to detect and fix vulnerabilities in code, combining human-driven expertise with machine learning for greater accuracy and scalability. He also introduces CodeReduce, a game-changing tool by Snyk that strips away irrelevant code, streamlining the detection process and addressing the challenges posed by complex, multi-step data flows. Through rigorous model testing, Snyk ensures that AI-generated fixes are validated to prevent errors, making the process faster and more reliable.Show NotesIn this fascinating episode of The Secure Developer, host Danny Allan sits down with Berkay Berabi, an AI researcher at Snyk, to explore the groundbreaking CodeReduce technology and its implications for software security. Berabi, who transitioned from electrical engineering to AI research, shares insights into how Snyk is revolutionizing vulnerability detection and remediation using artificial intelligence.The conversation delves deep into the technical aspects of CodeReduce, explaining how this innovative approach reduces complex code structures by up to 50 times their original size while maintaining vulnerability detection capabilities. Berabi explains the sophisticated process of code reduction, analysis, and fix generation, highlighting how AI models can better understand and address security vulnerabilities when working with simplified code. The discussion also covers the challenges of different AI models, from T5 to StarCoder and Mixtral, exploring their varying capabilities, accuracies, and performance trade-offs.The episode critically examines the future of AI in software development, addressing both opportunities and concerns. Berabi and Allan discuss recent findings about AI-generated code potentially introducing new vulnerabilities, referencing Gartner's prediction that by 2027, 25% of software vulnerabilities could be created by AI-generated code. They explore how tools like CodeReduce and other AI-powered security measures might help mitigate these risks while examining the broader implications of AI assistance in software development. This episode offers valuable insights for developers, security professionals, and anyone interested in the intersection of AI and software security.LinksDeepCode AI Fix Research PaperDeepCode AI Fix Blog Post Follow UsOur WebsiteOur LinkedIn

Happy holidays! We'll be sharing snippets from Latent Space LIVE! through the break bringing you the best of 2024! We want to express our deepest appreciation to event sponsors AWS, Daylight Computer, Thoth.ai, StrongCompute, Notable Capital, and most of all all our LS supporters who helped fund the gorgeous venue and A/V production!For NeurIPS last year we did our standard conference podcast coverage interviewing selected papers (that we have now also done for ICLR and ICML), however we felt that we could be doing more to help AI Engineers 1) get more industry-relevant content, and 2) recap 2024 year in review from experts. As a result, we organized the first Latent Space LIVE!, our first in person miniconference, at NeurIPS 2024 in Vancouver.Of perennial interest, particularly at academic conferences, is scaled-up architecture research as people hunt for the next Attention Is All You Need. We have many names for them: “efficient models”, “retentive networks”, “subquadratic attention” or “linear attention” but some of them don't even have any lineage with attention - one of the best papers of this NeurIPS was Sepp Hochreiter's xLSTM, which has a particularly poetic significance as one of the creators of the LSTM returning to update and challenge the OG language model architecture:So, for lack of a better term, we decided to call this segment “the State of Post-Transformers” and fortunately everyone rolled with it.We are fortunate to have two powerful friends of the pod to give us an update here:* Together AI: with CEO Vipul Ved Prakash and CTO Ce Zhang joining us to talk about how they are building Together together as a quote unquote full stack AI startup, from the lowest level kernel and systems programming to the highest level mathematical abstractions driving new model architectures and inference algorithms, with notable industry contributions from RedPajama v2, Flash Attention 3, Mamba 2, Mixture of Agents, BASED, Sequoia, Evo, Dragonfly, Dan Fu's ThunderKittens and many more research projects this year* Recursal AI: with CEO Eugene Cheah who has helped lead the independent RWKV project while also running Featherless AI. This year, the team has shipped RWKV v5, codenamed Eagle, to 1.5 billion Windows 10 and Windows 11 machines worldwide, to support Microsoft's on-device, energy-usage-sensitive Windows Copilot usecases, and has launched the first updates on RWKV v6, codenamed Finch and GoldFinch. On the morning of Latent Space Live, they also announced QRWKV6, a Qwen 32B model modified with RWKV linear attention layers. We were looking to host a debate between our speakers, but given that both of them were working on post-transformers alternativesFull Talk on YoutubePlease like and subscribe!LinksAll the models and papers they picked:* Earlier Cited Work* Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention* Hungry hungry hippos: Towards language modeling with state space models* Hyena hierarchy: Towards larger convolutional language models* Mamba: Linear-Time Sequence Modeling with Selective State Spaces* S4: Efficiently Modeling Long Sequences with Structured State Spaces* Just Read Twice (Arora et al)* Recurrent large language models that compete with Transformers in language modeling perplexity are emerging at a rapid rate (e.g., Mamba, RWKV). Excitingly, these architectures use a constant amount of memory during inference. However, due to the limited memory, recurrent LMs cannot recall and use all the information in long contexts leading to brittle in-context learning (ICL) quality. A key challenge for efficient LMs is selecting what information to store versus discard. In this work, we observe the order in which information is shown to the LM impacts the selection difficulty. * To formalize this, we show that the hardness of information recall reduces to the hardness of a problem called set disjointness (SD), a quintessential problem in communication complexity that requires a streaming algorithm (e.g., recurrent model) to decide whether inputted sets are disjoint. We empirically and theoretically show that the recurrent memory required to solve SD changes with set order, i.e., whether the smaller set appears first in-context. * Our analysis suggests, to mitigate the reliance on data order, we can put information in the right order in-context or process prompts non-causally. Towards that end, we propose: (1) JRT-Prompt, where context gets repeated multiple times in the prompt, effectively showing the model all data orders. This gives 11.0±1.3 points of improvement, averaged across 16 recurrent LMs and the 6 ICL tasks, with 11.9× higher throughput than FlashAttention-2 for generation prefill (length 32k, batch size 16, NVidia H100). We then propose (2) JRT-RNN, which uses non-causal prefix-linear-attention to process prompts and provides 99% of Transformer quality at 360M params., 30B tokens and 96% at 1.3B params., 50B tokens on average across the tasks, with 19.2× higher throughput for prefill than FA2.* Jamba: A 52B Hybrid Transformer-Mamba Language Model* We present Jamba, a new base large language model based on a novel hybrid Transformer-Mamba mixture-of-experts (MoE) architecture. * Specifically, Jamba interleaves blocks of Transformer and Mamba layers, enjoying the benefits of both model families. MoE is added in some of these layers to increase model capacity while keeping active parameter usage manageable. * This flexible architecture allows resource- and objective-specific configurations. In the particular configuration we have implemented, we end up with a powerful model that fits in a single 80GB GPU.* Built at large scale, Jamba provides high throughput and small memory footprint compared to vanilla Transformers, and at the same time state-of-the-art performance on standard language model benchmarks and long-context evaluations. Remarkably, the model presents strong results for up to 256K tokens context length. * We study various architectural decisions, such as how to combine Transformer and Mamba layers, and how to mix experts, and show that some of them are crucial in large scale modeling. We also describe several interesting properties of these architectures which the training and evaluation of Jamba have revealed, and plan to release checkpoints from various ablation runs, to encourage further exploration of this novel architecture. We make the weights of our implementation of Jamba publicly available under a permissive license.* SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers* We introduce Sana, a text-to-image framework that can efficiently generate images up to 4096×4096 resolution. Sana can synthesize high-resolution, high-quality images with strong text-image alignment at a remarkably fast speed, deployable on laptop GPU. Core designs include: * (1) Deep compression autoencoder: unlike traditional AEs, which compress images only 8×, we trained an AE that can compress images 32×, effectively reducing the number of latent tokens. * (2) Linear DiT: we replace all vanilla attention in DiT with linear attention, which is more efficient at high resolutions without sacrificing quality. * (3) Decoder-only text encoder: we replaced T5 with modern decoder-only small LLM as the text encoder and designed complex human instruction with in-context learning to enhance the image-text alignment. * (4) Efficient training and sampling: we propose Flow-DPM-Solver to reduce sampling steps, with efficient caption labeling and selection to accelerate convergence. * As a result, Sana-0.6B is very competitive with modern giant diffusion model (e.g. Flux-12B), being 20 times smaller and 100+ times faster in measured throughput. Moreover, Sana-0.6B can be deployed on a 16GB laptop GPU, taking less than 1 second to generate a 1024×1024 resolution image. Sana enables content creation at low cost. * RWKV: Reinventing RNNs for the Transformer Era* Transformers have revolutionized almost all natural language processing (NLP) tasks but suffer from memory and computational complexity that scales quadratically with sequence length. In contrast, recurrent neural networks (RNNs) exhibit linear scaling in memory and computational requirements but struggle to match the same performance as Transformers due to limitations in parallelization and scalability. * We propose a novel model architecture, Receptance Weighted Key Value (RWKV), that combines the efficient parallelizable training of transformers with the efficient inference of RNNs.* Our approach leverages a linear attention mechanism and allows us to formulate the model as either a Transformer or an RNN, thus parallelizing computations during training and maintains constant computational and memory complexity during inference. * We scale our models as large as 14 billion parameters, by far the largest dense RNN ever trained, and find RWKV performs on par with similarly sized Transformers, suggesting future work can leverage this architecture to create more efficient models. This work presents a significant step towards reconciling trade-offs between computational efficiency and model performance in sequence processing tasks.* LoLCATs: On Low-Rank Linearizing of Large Language Models* Recent works show we can linearize large language models (LLMs) -- swapping the quadratic attentions of popular Transformer-based LLMs with subquadratic analogs, such as linear attention -- avoiding the expensive pretraining costs. However, linearizing LLMs often significantly degrades model quality, still requires training over billions of tokens, and remains limited to smaller 1.3B to 7B LLMs. * We thus propose Low-rank Linear Conversion via Attention Transfer (LoLCATs), a simple two-step method that improves LLM linearizing quality with orders of magnitudes less memory and compute. * We base these steps on two findings. * First, we can replace an LLM's softmax attentions with closely-approximating linear attentions, simply by training the linear attentions to match their softmax counterparts with an output MSE loss ("attention transfer").* Then, this enables adjusting for approximation errors and recovering LLM quality simply with low-rank adaptation (LoRA). * LoLCATs significantly improves linearizing quality, training efficiency, and scalability. We significantly reduce the linearizing quality gap and produce state-of-the-art subquadratic LLMs from Llama 3 8B and Mistral 7B v0.1, leading to 20+ points of improvement on 5-shot MMLU. * Furthermore, LoLCATs does so with only 0.2% of past methods' model parameters and 0.4% of their training tokens. * Finally, we apply LoLCATs to create the first linearized 70B and 405B LLMs (50x larger than prior work). * When compared with prior approaches under the same compute budgets, LoLCATs significantly improves linearizing quality, closing the gap between linearized and original Llama 3.1 70B and 405B LLMs by 77.8% and 78.1% on 5-shot MMLU.Timestamps* [00:02:27] Intros* [00:03:16] Why Scale Context Lengths? or work on Efficient Models* [00:06:07] The Story of SSMs* [00:09:33] Idea 1: Approximation -> Principled Modeling* [00:12:14] Idea 3: Selection* [00:15:07] Just Read Twice* [00:16:51] Idea 4: Test Time Compute* [00:17:32] Idea 2: Hardware & Kernel Support* [00:19:49] RWKV vs SSMs* [00:24:24] RWKV Arch* [00:26:15] QWRKWv6 launch* [00:30:00] What's next* [00:33:21] Hot Takes - does anyone really need long context?Transcript[00:00:00] AI Charlie: We're back at Latent Space Live, our first mini conference held at NeurIPS 2024 in Vancouver. This is Charlie, your AI co host. As a special treat this week, we're recapping the best of 2024 going domain by domain. We sent out a survey to the over 900 of you who told us what you wanted, and then invited the best speakers in the Latent Space Network to cover each field.[00:00:24] AI Charlie: 200 of you joined us in person throughout the day, with over 2200 watching live online. Thanks Our next keynote covers the State of Transformers alternative architectures, with a special joint presentation with Dan Fu of Together AI and Eugene Chia of Recursal AI and Featherless AI. We've featured both Together and Recursal on the pod before, with CEO Veepal Vedprakash introducing them.[00:00:49] AI Charlie: And CTO CE Zhang joining us to talk about how they are building together together as a quote unquote full stack AI startup from the lowest level kernel and systems [00:01:00] programming to the highest level mathematical abstractions driving new model architectures and inference algorithms with notable industry contributions from Red Pajama V2, Flash Attention 3, Mamba 2, Mixture of Agents.[00:01:15] AI Charlie: Based, Sequoia, Evo, Dragonfly, Danfoo's Thunder Kittens, and many more research projects this year. As for Recursal and Featherless, we were the first podcast to feature RWKV last year, and this year the team has shipped RWKV v5, codenamed Eagle, to 1. 5 billion Windows 10 and Windows 11 machines worldwide to support Microsoft's on device, end Energy Usage Sensitive Windows Copilot Use Cases and has launched the first updates on RWKV v6, codenamed Finch and Goldfinch.[00:01:53] AI Charlie: On the morning of Latent Space Live, they also announced QRdata UKv6, a QEN32B model [00:02:00] modified with RDWKV linear attention layers. Eugene has also written the most single most popular guest post on the Latent Space blog this year. Yes, we do take guest posts on what he has discovered about the H100 GPU inference NeoCloud market since the successful launch of Featherless AI this year.[00:02:20] AI Charlie: As always, don't forget to check the show notes for the YouTube link to their talk as well as their slides. Watch out and take care.[00:02:27] Intros[00:02:27] Dan Fu: Yeah, so thanks so much for having us. So this is going to be a little bit of a two part presentation. My name is Dan. I'm at Together AI, and I'll be joining UCSD as faculty in about a year. And Eugene, you want to introduce yourself?[00:02:46] Eugene Cheah: Eugene, I lead the art activity team, and I, I'm CEO of Featherless, and we both work on this new post transformer architecture space.[00:02:55] Dan Fu: Yeah, so yeah, so today we're really excited to talk to you a little bit [00:03:00] about that. So first I'm going to give a broad overview of kind of the last few years of progress in non post transformer architectures. And then afterwards Eugene will tell us a little bit about the latest and the greatest and the latest frontier models in this space.[00:03:16] Why Scale Context Lengths? or work on Efficient Models[00:03:16] Dan Fu: So, the story starts with Scaling. So this is probably a figure or something like this that you've seen very recently. Over the last five to six years, we've seen models really scale up in parameter size, and that's brought with it a bunch of new capabilities, like the ability to talk to you and tell you sometimes how to use your Colab screens.[00:03:35] Dan Fu: But another place where we've seen scaling especially recently is scaling in context length. So this can mean Having more text inputs for your models, but it can also mean things like taking a lot of visual token inputs image inputs to your models or generating lots of outputs. And one thing that's been really exciting over the last few months or so is that we're, we're seeing scaling, not only during training time, but also [00:04:00] during test time.[00:04:00] Dan Fu: So this is one of the, the, this is the iconic image from the OpenAI 01 release. Not only are we starting to scale train time compute, but we're also starting to scale test time compute. Now if you're familiar with our attention and our transformer architectures today, this graph on the right might look a little bit scary.[00:04:19] Dan Fu: And one of the reasons is that the implications are a little bit Interesting. So what does it mean if we want to continue having smarter and smarter models? Do we just need to start building bigger, bigger data centers, spending more flops? Is this this little Dolly 3, we need more flops, guys? Is this going to be the future of all of AI?[00:04:39] Dan Fu: Or is there a better way, another path forward? Maybe we can get the same capabilities that we've gotten used to, But for a lot less compute, a lot less flops. And one of the things that we're going to talk about today is specifically looking at that core attention operator in some of these models.[00:04:57] Dan Fu: And the reason is that so this is just some, some [00:05:00] basic you know, scaling curves, but attention has compute that scales quadratically in the context length. So that means that if you're doing something like test time compute and you want to spend a bunch of tokens thinking about what comes next, the longer that that goes the, the, the more tokens you spend on that, that compute grows quadratically in that.[00:05:19] Dan Fu: One of the questions that we're interested in is, can we take that basic sequence model, that basic sequence primitive at the bottom, and get it to scale better? Can we scale in, let's say, n to the 3 halves or n log n? So in, in the first part of the talk, so we just went over the introduction. What I'm gonna do over the next few slides is just talk about some of the key advances and ideas that have shown over the past few years since maybe early 2020 to, to now that shown promise that this might actually be possible.[00:05:48] Dan Fu: That you can actually get potentially the same quality that we want while scale, while scaling better. So to do that, we're and, and basically the, the story that we're gonna look is we're gonna start to see [00:06:00] how. So this is a basic graph of just the past couple years of progress of perplexity where that blue line, that dotted blue line, is attention.[00:06:07] The Story of SSMs[00:06:07] Dan Fu: It's your basic transformer, full dense attention. And then the dots coming down are some of the methods that you'll see in this presentation today. We're going to turn the clock back all the way to 2020. So this, this, this question of can we make attention subquadratic? Basically, as soon as we said attention is all you need, People started asking this question.[00:06:28] Dan Fu: So we have this quadratic attention operator. Can we do better? I'll briefly talk about why attention is quadratic. And the basic thing that happens, if you're not familiar, is that you have these inputs, these keys and queries. And what you do in this attention matrix, this S matrix over here, is that you're using, you're comparing every token in your input to every other token.[00:06:49] Dan Fu: So when I try to do something like upload a whole book to Gemini, what happens beyond the Maybe not Gemini, because we don't necessarily know what architecture is. But let's say we upload it to LLAMA, what happens beyond [00:07:00] the scenes, behind the scenes, is that it's going to take every single word in that book and compare it to every other word.[00:07:05] Dan Fu: And this has been a really, it's, it's led to some pretty impressive things. But it's kind of a brute forcing of the way that you would try to interpret a interpret something. And what attention does in particular is the, and then what attention, sorry, don't want to. Okay, no, no laser pointer. What, what attention does afterwards is that instead of always operating in this quadratic thing, it takes a row wise softmax over this matrix, and then multiplies it by this values matrix.[00:07:32] Dan Fu: So, one of the key points to notice is that the output size is always going to be the same as the inputs, at least in standard self attention. So one of the first things that folks tried to do around 2020 is this thing called linear attention, which is just, just noticing that if we take out this softmax from here, if we take out this non linearity in the middle of the attention operation, and then if you compute the keys and the values operation first, you actually never hit this quadratic bottleneck.[00:07:57] Dan Fu: So that, that's potentially a way [00:08:00] to get a lot more computationally efficient. And there are various ways to do this by basically using feature maps or try to approximate this overall attention computation. But some of this work sort of started to hit a wall in 2020. And the basic challenges were, were two.[00:08:16] Dan Fu: So one was quality. It was back then, it was kind of hard to, to get good quality with these linear attention operators. The other one was actually hardware efficiency. So these, this feature map that was just shown by a simplify simplify here. Actually ends up being quite computationally expensive if you just implement it naively.[00:08:34] Dan Fu: So you started having these operators that not only were you sure, you're not really sure if they have the same quality, but also they're actually just wall clock slower. So you kind of end up getting the worst of both worlds. So this was the the stage. So that kind of sets the stage for four years ago.[00:08:49] Dan Fu: Keep this in mind because linear attention is actually going to come back in a few years once we have a better understanding. But one of the works that started kicking off this, this [00:09:00] mini revolution in post transformer architectures was this idea called states based model. So here the seminal work is, is one about our work queue in 2022.[00:09:09] Dan Fu: And this, this piece of work really brought together a few ideas from, from some long running research research lines of work. The first one was, and this is really one of the keys to, to closing the gap in quality was just using things that, that if you talk to a, a, an electrical engineer off the street, they might know off, off the, like the back of their hand.[00:09:33] Idea 1: Approximation -> Principled Modeling[00:09:33] Dan Fu: But taking some of those properties with how we model dynamical systems in signal processing and then using those ideas to model the inputs, the, the text tokens in, for example a transformer like Next Token Prediction Architecture. So some of those early states-based model papers were looking at this relatively, relatively simple recurrent update model that comes from maybe chapter one of a signal processing class.[00:09:59] Dan Fu: But then using [00:10:00] some principle theory about how you should do that recurrent update in order to really get the most that you can out of your hidden state, out of your out of your sequence. So that, that was one key idea for quality and. When this was eventually realized, you started to see a bunch of benchmarks that were pretty sticky for a few years.[00:10:20] Dan Fu: Things like long range arena, some long sequence evaluation benchmarks, There was stuff in time series, time series analysis. They started to, you started to see the quality tick up in meaningful ways. But the other key thing that What's so influential about these states based models is that they also had a key idea about how you can compute these things efficiently.[00:10:45] Dan Fu: So if you go back to your machine learning 101 class where you learned about RNNs, one thing that you may have learned is that they don't paralyze as well as detention, because if you just run them naively, you have to do this kind of sequential update to process new tokens, [00:11:00] whereas in attention, you can process all the tokens in parallel at one time.[00:11:04] Dan Fu: One of the key insights behind the S4 paper was that these recurrent models, you could take them and you could also formulate them as a convolution. And in particular, with a convolution, you could, instead of using a PyTorch conv1d operation, you can compute that with the FFT. And that would give you n log n compute in the in the sequence length n with an operator that was relatively well optimized for modern hardware.[00:11:28] Dan Fu: So those are really, I'd say, the two key ideas in 2022 that started allowing these breakthroughs to happen in these non transformer architectures. So, these ideas about how to principally model sorry, how to model the recurrent updates of a mo of, of a sequence in a principled way, and also these key ideas in how you can compute it efficiently by turning it into a convolution and then scaling it up with the FFT.[00:11:53] Dan Fu: Along those same lines, so afterwards we started putting out some work on specialized kernels, so just [00:12:00] like we have flash attention for transformers, we also have works like flash fft conf, and if you look at these lines of work oftentimes when, whenever you see a new architecture, you see a new primitive one of the, one of the table stakes now is, do you have an efficient kernel so that you can actually get wall clock speed up?[00:12:14] Idea 3: Selection[00:12:14] Dan Fu: So by 2022, We are starting to have these models that had promising quality primitives, but and, and also promising wall clocks. So you could actually see regimes where they were better than transformers in meaningful ways. That being said, there were, there's still sometimes a quality gap, particularly for language modeling.[00:12:33] Dan Fu: And because languages, It's so core to what we do in sequence modeling these days the, the next, the next key idea that I'm going to talk about is this idea of selection mechanisms. And this is basically an idea of, so you have this recurrent state that you're keeping around that just summarizes everything that, that came before.[00:12:50] Dan Fu: And to get a good sequence model, one of the things that you really need to be able to do is have the model learn what's the best way to pick out pieces from that recurrent [00:13:00] state. So one of the, one of the major ideas here in a line of work called H3, Hungry Hungry Hippos, and also these hyena models were One way you can do this is by just adding some simple element wise gates.[00:13:13] Dan Fu: So versions of these ideas have been around for decades. If you squint at the LSTM paper you, you can probably find, find this gating mechanism. But turns out you can take those old ideas, add them into these new. state space models, and then you can see quality start to pick up. If you've heard of the Mamba model, this also takes the selection to the next level by actually making some changes in that fundamental recurrent state space.[00:13:40] Dan Fu: So, it's not only just this gating that happens around the SSM layer, but also you can actually make The ABCD matrices of your state space model, you can make them data dependent, which will allow you to even better select out different pieces from your hidden state depending on what you're seeing. I'll also point out if you look at the [00:14:00] bottom right of this figure, there's this little triangle with a GPU SRAM, GPU HBM, and this, this is just continuing that trend of when you have a new architecture you, you, you also release it with a kernel to, to, to show that it is hardware efficient, that it, that it can be hardware efficient on modern hardware.[00:14:17] Dan Fu: The, the, one of the next cool things that happened is once we had this understanding of these are the basic pieces, these are the basic principles behind some of the sequence models linear attention actually started to come back. So in earlier this year, there was a model called BASED the, from Simran Arora and, and some other folks, that combined a more principled version of linear attention that basically the, the, the, the two second summary is that it used a Taylor approximation of the softmax attention, combined that with a simple sliding window attention and was starting to able, starting to be able to expand the Pareto frontier of how much data can you recall from your sequence, versus how small is your recurrent state size.[00:14:58] Dan Fu: So those orange dots [00:15:00] are, at the top there, are just showing smaller sequences that can recall more memory.[00:15:07] Just Read Twice[00:15:07] Dan Fu: And the last major idea I think that has been influential in this line of work and is very relatively late breaking just a few months ago, is just the basic idea that when you have these models that are fundamentally more efficient in the sequence length, you maybe don't want to prompt them or use them in exactly the same way.[00:15:26] Dan Fu: So this was a really cool paper called Just Read Twice, also from Simran. That basically said, hey, all these efficient models can process tokens so much more efficiently than transformers that they can sometimes have unfair advantages compared to a simple transformer token. So, or sorry, a simple transformer model.[00:15:44] Dan Fu: So take, for example the standard, the standard use case of you have some long document, you're going to pass it in as input, and then you're going to ask some question about it. One problem you might imagine for a recurrent model where you have a fixed state size is, let's say that [00:16:00] you're. Article is very long, and you're trying to ask about some really niche thing.[00:16:04] Dan Fu: You can imagine it might be hard for the model to know ahead of time what information to put into the hidden state. But these, these, these models are so much more efficient that you can do something really stupid, like, you can just put the document write down the document, write down the question, write down the document again, and then write down the question again, and then this time, the second time that you go over that document, you know exactly what to look for.[00:16:25] Dan Fu: And the cool thing about this is, so this is, And this this results in better quality, especially on these recall intensive tasks. But the other interesting thing is it really takes advantage of the more efficient architectures that, that we're having here. So one of the other, I think, influential ideas in this line of work is if you change the fundamental compute capabilities of your model and the way that it scales, you can actually start to query it at test time differently.[00:16:51] Idea 4: Test Time Compute[00:16:51] Dan Fu: And this actually, of course, goes back to those slides on test time compute. So while everybody's looking at, say, test time compute for big transformer models, [00:17:00] I think potentially a really interesting research question is, how can you take those and how does it change with this new next generation of models?[00:17:09] Dan Fu: So the, I'll just briefly summarize what some of those key ideas were and then talk and then show you briefly kind of what the state of the art is today. So, so the four key ideas are instead of just doing a simple linear attention approximation, instead take ideas that we know from other fields like signal processing, do a more principled approach to your modeling of the sequence.[00:17:32] Idea 2: Hardware & Kernel Support[00:17:32] Dan Fu: Another key idea throughout all these lines of work is you really want. Hardware and kernel support from day one. So, so even if your model is theoretically more efficient if somebody goes and runs it and it's two times slower one of the things that, that we've learned is that if, if you're in that situation, it's, it's just gonna be dead on arrival.[00:17:49] Dan Fu: So you want to be designing your architectures one of the key, key machine learning ideas that has been important for the quality is just making sure that you encode different ways that you can [00:18:00] select from your hidden state and, and really focus on that as a key decider of quality. And finally, I think one of the, the, the emerging new, new things for, for this line of work and something that's quite interesting is, What are the right test time paradigms for these models?[00:18:15] Dan Fu: How do they change relative to relative to what you might do for a standard transformer? I'll briefly end this section. So I've labeled this slide where we are yesterday because Eugene is going to talk about some new models that he released literally this morning. But as of yesterday, some of the really cool results out of the, these efficient alternative models were so AI2 trained this hybrid MOE called Jamba.[00:18:40] Dan Fu: That, that, that seems, that is currently the state of the art for these non transformer architectures. There's this NVIDIA and MIT put out this new diffusion model called SANA recently that one of their key key observations is that you can take a standard diffusion transformer diffusion model, replace the layers with linear [00:19:00] attention, and then that lets you scale to much larger much larger images, much, much Much larger sequences more efficiently.[00:19:07] Dan Fu: And and one thing that I don't think anybody would have called when a few years ago is that one of those gated SSM, gated states based models ended up on the cover of Science because a great group of folks went and trained some DNA models. So that's Michael Polley, Eric Yuen from from Stanford and the Arc Institute.[00:19:26] Dan Fu: So it's, we're really at an exciting time in 2024 where these non transformer, post transformer architectures are showing promise across a wide range. Across a wide range of, of modalities, of applications, and, and of tasks. And with that, I'll pass it on to Eugene, who can tell you a little bit about the latest and greatest with RWKV.[00:19:49] RWKV vs SSMs[00:19:49] Eugene Cheah: So, that's useful? Yeah. You're talking to here. Oh, I'm talking to here. Okay. So, yeah, two streams. Yeah. So, I think one common questions that we tend to get asked, right, is what's the difference between [00:20:00] RWKV and state space? So I think one of the key things to really understand, right the difference between the two groups, right, is that we are actually more like an open source, random internet meets academia kind of situation.[00:20:11] Eugene Cheah: Like, most of us never wrote any paper, but we, we basically look at RNNs and linear intention when intention is all you need came out, and then we decided to like, hey there is a quadratic scaling problem. Why don't we try fixing that instead? So, so, so we end up developing our own branch, but we end up sharing ideas back and forth.[00:20:30] Eugene Cheah: So, and, and we do all this actively in Discord, GitHub, etc. This was so bad for a few years, right, that basically, the average group's H index was so close to zero, right, Illuter. ai actually came in and helped us write our first paper. Great, now our H index is now three, apparently. So, so, so, but, but the thing is, like, a lot of these experiments led to results, and, and, essentially, essentially, we we took the same ideas from linear attention, [00:21:00] and we built on it.[00:21:01] Eugene Cheah: So, to take a step back into, like, how does RWKB handle its own attention mechanic and achieve the same goals of, like, O and compute, respectively, and in focus of our overall goal to make AI accessible to everyone, regardless of language, nation, or compute, that's our goal. We actually train our models primarily on over a hundred languages, which is another topic altogether.[00:21:23] Eugene Cheah: And our goal is to train to even 200 languages to cover all languages in the world. But at the same time, we work on this architecture, To lower the compute cost so that people can run it on Raspberry Pis and on anything. So, how did RWKB break the dependency of LSTM token flow? Because I think to understand architecture, right, it's probably easier to understand it from the RNN lens.[00:21:46] Eugene Cheah: Because that's where we built on. We all, we all state space kind of like try to, try to start anew and took lessons from that and say, So there's a little bit of divergence there. And AKA, this our version of linear attention. So to take step back [00:22:00] all foundation models, be it transformers or non transformers at a very high level, right?[00:22:05] Eugene Cheah: Pumps in the token. I mean, text that things into embeddings and go through a lot of layers. Generate a lot of states where the QKV cache or be iron in states or RW KB states. And outputs and embedding, they are not the same thing. And we just take more layers and more embeddings. And somehow that magically works.[00:22:23] Eugene Cheah: So, if you, if you remember your ancient RNN lessons which we, which we, which we we call best learning these days the general idea is that you have the embedding information flowing all the way up, and when, and you take that information and you flow it back down, and then you process it as part of your LSTM layers.[00:22:41] Eugene Cheah: So, this is how it generally works. Kapati is quoted saying that RNNs are actually unreasonably effective. The problem is this is not scalable. To start doing work on the second token, you need to wait for the first token. And then you need to, and likewise for the third token and fourth token, yada yada.[00:22:55] Eugene Cheah: That is CPU land, not GPU land. So, so, so, you [00:23:00] can have a H100 and you can't even use 1 percent of it. So, so that's kind of why RNNs didn't really take off in the direction that we wanted, like, billions of parameters when it comes to training. So, what did RDAP KV version 0 do? Boom. We just did the dumbest, lamest thing.[00:23:13] Eugene Cheah: Sorry, this is the bottleneck for RNN. We did the dumb thing of removing that line. And it kind of worked. It trained. It sucked, but it kind of worked. Then we were like, hey, then no one cared because the loss was crap, but how do we improve that? And that's essentially where we move forward, because if you see this kind of flow, right, you can actually get your GPU saturated quickly, where it essentially cascades respectively.[00:23:41] Eugene Cheah: So I'm just waiting for this to loop again. So it's like, once you get your first layer, your token to be computed finish. You start to cascade your compute all the way until you are, Hey, I'm using 100 percent of the GPU. So we, we worked on it, and we started going along the principle of that as long as we keep this general architecture [00:24:00] where, where we can cascade and, and be highly efficient with our architecture, nothing is sacred in our architecture.[00:24:06] Eugene Cheah: And we have done some crazy ideas. In fact, you ask us, if you ask me to explain some things in the paper, right, officially in the paper, I'll say we had this idea and we wrote it this way. The reality is someone came with a code, we tested it, it worked, and then we rationalized later. So, so the general[00:24:24] RWKV Arch[00:24:24] Eugene Cheah: The idea behind rwkbr is that we generally have two major blocks that we do.[00:24:30] Eugene Cheah: We call time mix and channel mix. And time mix generally handles handles long term memory states, where essentially, where essentially where we apply the matrix multiplication and Cilu activation functions into processing an input embedding and an output embedding. I'm oversimplifying it because this, This calculation changed every version and we have, like, version 7 right now.[00:24:50] Eugene Cheah: ChannelMix is similar to Base in the sense that it does shorter term attention, where it just looks at the sister token, or the token before it, because [00:25:00] there's a shift in the token shift matrix. I don't really want to go too much into the papers itself, because, like, we do have three papers on this.[00:25:09] Eugene Cheah: Basically, RWKB, RNN for the transformer, ERA, Ego and Pinch, RWKB, Matrix Value State. This is the updated version 5, version 6. And Goldfinch is our, is, is, is, is our hybrid model respectively. We are writing the paper already for V seven and which is, which is for R wk V seven. Called, named Goose, or architectures are named by Bird.[00:25:30] Eugene Cheah: And, I'm going to cover as well, qrwkb, and mama100k, and rwkb, and Where did that lead to? Great! Because we are all GPU poor and to be clear, like, most of this research is done, like, only on a handful H100s, which I had one Google researcher told me that was, like, his experiment budget for a single researcher.[00:25:48] Eugene Cheah: So, our entire organization has less compute than a single researcher in Google. So We, we, one of the things that we explored into was to how do we convert transformer models instead? Because [00:26:00] someone already paid that billion dollars, a million dollars onto training, so why don't we take advantage of those weights?[00:26:05] Eugene Cheah: And, and to, I believe, together AI worked on the lockets for, for the Lambda side of things, and, and we took some ideas from there as well, and we essentially did that for RWKB.[00:26:15] QWRKWv6 launch[00:26:15] Eugene Cheah: And that led to, Q RWKB6, which we just dropped today, a 32 bit instruct preview model, where we took the Quen 32 bit instruct model, freeze the feedforward layer, remove the QKB attention layer, and replace it with RWKB linear layers.[00:26:32] Eugene Cheah: So to be clear, this means we do not have the rwkv channel mix layer, we only have the time mix layer. But but once we do that, we train the rwkv layer. Important is that the feedforward layer needs to be frozen, so the new attention can be learned. And then we unfreeze the feedforward layer, and train all the layers together with a custom learning rate schedule, so that they can learn how to work together.[00:26:54] Eugene Cheah: The end result, surprisingly, And, to be honest, to the frustration of the R. W. [00:27:00] KV MOE team, which ended up releasing the model on the same day, was that, with just a few hours of training on two nodes, we managed to get it to be on par, kind of, with the original QUAN32B model. So, in fact, when the first run, right, that completely confused us, it was like, and I was telling Daniel Goldstein, Smirky, who kind of leads most of our research coordination, When you pitched me this idea, you told me at best you'll get the same level of performance.[00:27:26] Eugene Cheah: You didn't tell me the challenge and score and Winograd score will shoot up. I don't know what's happening there. But it did. MMLU score dropping, that was expected. Because if you think about it, when we were training all the layers, right, we were essentially Like, Frankenstein this thing, and we did brain damage to the feedforward network layer 2 with the new RWKB layers.[00:27:47] Eugene Cheah: But, 76%, hey, somehow it's retained, and we can probably further train this. We didn't even spend more than 3 days training this, so there's a lot more that can be done, hence the preview. This brings up [00:28:00] a big question, because We are already now in the process of converting to 7TB. We are now, this is actually extremely compute efficient to test our attention mechanic.[00:28:10] Eugene Cheah: It's like, it becomes a shortcut. We can, we are already planning to do our version 7 and our hybrid architecture for it. Because we don't need to train from scratch. And we get a really good model out of it. And the other thing that is uncomfortable to say is that because we are doing right now on the 70b is that if this scales correctly to 128k context length, I'm not even talking about a million 128, majority of enterprise workload today is just on 70b at under 32k context length.[00:28:41] Eugene Cheah: That means if this works and the benchmark matches it, It means we can replace the vast majority of current AI workload, unless you want super long context. And then sorry, can someone give us more GPUs? Because we do need the VRAM for super long context, sadly. So yeah, that's what we are working on, and essentially, [00:29:00] we are excited about this to just push it further.[00:29:02] Eugene Cheah: And this conversion process, to be clear, I don't think it's going to be exclusive to RWKB. It probably will work for Mamba as well, I don't see why not. And we will probably see more ideas, or more experiments, or more hybrids, or Yeah, like, one of the weirdest things that I wanted to say outright, and I confirmed this with the Black Mamba team and the Jamba team, which because we did the GoFinch hybrid model, is that none of us understand why a hard hybrid with a state based model to be R.[00:29:28] Eugene Cheah: QA state space and transformer performs better when, than the baseline of both. It's like, it's like when you train one, you expect, and then you replace, you expect the same results. That's our pitch. That's our claim. But somehow when we jam both together, it outperforms both. And that's like one area of emulation that, like, we only have four experiments, plus four teams, that a lot more needs to be done.[00:29:51] Eugene Cheah: But, but these are things that excite me, essentially, because that is what it's potentially we can move ahead for. Which brings us to what comes next.[00:30:00] What's next[00:30:00] [00:30:00][00:30:00] Dan Fu: So, this part is kind of just some, where we'll talk a little bit about stuff that, that we're excited about. Maybe have some wild speculation on, on what, what's, what's coming next.[00:30:12] Dan Fu: And, of course this is also the part that will be more open to questions. So, a couple things that, that I'm excited about is continued hardware model co design for, for these models. So one of the things that we've put out recently is this library called ThunderKittens. It's a CUDA library.[00:30:29] Dan Fu: And one of the things that, that we found frustrating is every time that we built one of these new architectures, and I'm sure you had the exact same experience, we'd have to go and spend two months in CUDA land, like writing these, these new efficient things. And. If we decided to change one thing in PyTorch, like one line of PyTorch code is like a week of CUDA code at least.[00:30:47] Dan Fu: So one of our goals with, with a library like Thunderkitten, so we, we just broke down what are the key principles, what are the key hardware things what are the key, Compute pieces that you get from the hardware. So for example on [00:31:00] H100 everything is really revolves around a warp group matrix multiply operation.[00:31:06] Dan Fu: So you really want your operation to be able to split into relatively small matrix, matrix multiply operations. So like multiplying two 64 by 64 matrices, for example. And so if you know that ahead of time when you're designing your model, that probably gives you you know, some information about how you set the state sizes, how you set the update, how you set the update function.[00:31:27] Dan Fu: So with Thunderkittens we basically built a whole library just around this basic idea that all your basic compute primitives should not be a float, but it should be a matrix, and everything should just be matrix compute. And we've been using that to, to try to both re implement some existing architectures, and also start to design code.[00:31:44] Dan Fu: Some new ones that are really designed with this core with a tensor core primitive in mind. Another thing that that we're, that at least I'm excited about is we, over the last four or five years, we've really been looking at language models as the next thing. But if you've been paying [00:32:00] attention to Twitter there's been a bunch of new next generation models that are coming out.[00:32:04] Dan Fu: So there, there are. So, video generation models that can run real time, that are supported by your mouse and your keyboard, that I'm told if you play with them that, you know, that they only have a few seconds of memory. Can we take that model, can we give it a very long context length so that you could actually maybe generate an entire game state at a time?[00:32:25] Dan Fu: What does that look like for the model? You're certainly not going to do a giant quadratic attention computation to try to run that. Maybe, maybe use some of these new models, or some of these new video generation models that came out. So Sora came out I don't know, two days ago now. But with super long queue times and super long generation times.[00:32:43] Dan Fu: So that's probably a quadratic attention operation at the, at the bottom of it. What if we could remove that and get the same quality, but a lot faster generation time? Or some of the demos that we saw from Paige earlier today. You know, if I have a super long conversation with my [00:33:00] Gemini bot, what if I wanted to remember everything that it's seen in the last week?[00:33:06] Dan Fu: I mean, maybe you don't for personal reasons, but what if I did, you know? What does that mean for the architecture? And I think, you know, that's certainly something I'm pretty excited about. I'm sure you're excited about it too. So, I think we were supposed to have some hot takes, but I honestly don't remember what our hot takes were.[00:33:21] Hot Takes - does anyone really need long context?[00:33:21] Eugene Cheah: Yeah, including the next slide. Hot takes, yes, these are our[00:33:25] Dan Fu: hot takes.[00:33:25] Eugene Cheah: I think the big one on Twitter that we saw, that we shared, was the question is like, is RAG relevant? In the case of, like, the future of, like, state based models?[00:33:38] Dan Fu: Let's see, I haven't played too much with RAG. But when I have. I'll say I found it was a little bit challenging to do research on it because we had this experience over and over again, where you could have any, an embedding model of any quality, so you could have a really, really bad embedding model, or you could have a really, really [00:34:00] good one, By any measure of good.[00:34:03] Dan Fu: And for the final RAG application, it kind of didn't matter. That's what I'll say about RAG while I'm being recorded. I know it doesn't actually answer the question, but[00:34:13] Eugene Cheah: Yeah, so I think a lot of folks are like, extremely excited of the idea of RWKB or State Space potentially having infinite context.[00:34:21] Eugene Cheah: But I think the reality is that when we say infinite context, we just mean a different kind of infinite context, or you, or as it's previously covered, you need to test the model differently. So, think of it more along the lines of the human. Like, I don't remember what I ate for breakfast yesterday.[00:34:37] Eugene Cheah: Yeah, that's the statement that I'll say. And And we humans are not quadratic transformers. If we did, if let's say we increased our brain size for every second we live, we would have exploded by the time we are 5 years old or something like that. And, and I think, I think basically fundamentally for us, right, be it whether we, regardless of whether RWKB, statespace, XLSTM, [00:35:00] etc, our general idea is that instead of that expanding state, that increase in computational cost, what if we have a fixed state size?[00:35:08] Eugene Cheah: And Information theory detects that that fixed state size will have a limit. Just how big of a limit is a question, like, we, like, RWKB is running at 40 megabytes for, for its state. Its future version might run into 400 megabytes. That is like millions of tokens in, if you're talking about mathematically, the maximum possibility.[00:35:29] Eugene Cheah: It's just that I guess we were all more inefficient about it, so maybe we hit 100, 000. And that's kind of like the work we are doing, trying to like push it and maximize it. And that's where the models will start differing, because it will choose to forget things, it will choose to remember things. And that's why I think that there might be some element of right, but it may not be the same right.[00:35:49] Eugene Cheah: It may be the model learn things, and it's like, hmm, I can't remember that, that article. Let me do a database search, to search. Just like us humans, when we can't remember the article in the company. We do a search on Notion. [00:36:00][00:36:00] Dan Fu: I think something that would be really interesting is if you could have facts that are, so right now, the one intuition about language models is that all those parameters are around just to store random facts about the world.[00:36:14] Dan Fu: And this intuition comes from the observation that if you take a really small language model, it can do things like talk to you, or kind of has like the The style of conversation, it can learn that, but where it will usually fall over compared to a much larger one is it'll just be a lot less factual about things that it knows or that it can do.[00:36:32] Dan Fu: But that points to all those weights that we're spending, all that SGD that we're spending to train these models are just being used to store facts. And we have things like databases that are pretty good at storing facts. So I think one thing that would be really interesting is if we could actually have some sort of outside data store that a language model can can look at that that maybe is you know, has has some sort of gradient descent in it, but but would be quite interesting.[00:36:58] Dan Fu: And then maybe you could edit it, delete [00:37:00] facts, you know, change who's president so that it doesn't, it doesn't get lost.[00:37:04] Vibhu: Can we open up Q& A and hot takes for the audience? I have a hot take Q& A. Do these scale? When, when 405B state space model, RAG exists, no one does long context, who's throwing in 2 million token questions, hot takes?[00:37:24] Dan Fu: The, the who's throwing in 2 million token question, I think, is, is a really good question. So I actually, I was going to offer that as a hot take. I mean, my hot take was going to be that long context doesn't matter. I know I just gave a whole talk about it, but you know, what, what's the point of doing research if you can't, you know, play both sides.[00:37:40] Dan Fu: But I think one of the, so I think for both of us, the reason that we first got into this was just from the first principled questions of there's this quadratic thing. Clearly intelligence doesn't need to be quadratic. What is going on? Can we understand it better? You know, since then it's kind of turned into a race, which has [00:38:00] been exciting to watch, like, how much context you can take in.[00:38:03] Dan Fu: But I think it's right. Nobody is actually putting in a two million context prompt into these models. And, and, you know, if they are, maybe we can go, go You know, design a better model to do that particular thing. Yeah, what do you think about that? So you've also been working on this. Do you think long context matters?[00:38:19] Eugene Cheah: So I'm going to burn a bit. How many of you remember the news of Google Gemini supporting 3 million contacts, right? Raise your hand.[00:38:28] Vibhu: Yeah, 2 million.[00:38:29] Eugene Cheah: Oh, it's 2 million.[00:38:31] Eugene Cheah: Yeah, how many of you actually tried that? See?[00:38:34] Vibhu: I use it a lot. You? You work for MindsTV. I use it a lot.[00:38:41] Eugene Cheah: So, for some people that has used, and I think, I think that's the, that's might be, like, this is where my opinion starts to differ, because I think the big labs may have a bigger role in this, because Like, even for RWKB, even when we train non contacts, the reason why I say VRAM is a problem is that because when we did the, we need to backprop [00:39:00] against the states, we actually need to maintain the state in between the tokens by the token length.[00:39:05] Eugene Cheah: So that means we need to actually roll out the whole 1 million contacts if we are actually training 1 million. Which is the same for transformers, actually, but it just means we don't magically reuse the VRAM consumption in the training time space. So that is one of the VRAM bottlenecks, and I'm neither OpenAI nor Google, so donate GPUs if you have too much of them.[00:39:27] Eugene Cheah: But then, putting it back to another paradigm, right, is that I think O1 style reasoning might be actually pushing that direction downwards. In my opinion, this is my partial hot take is that if, let's say you have a super big model, And let's say you have a 70B model that may take double the tokens, but gets the same result.[00:39:51] Eugene Cheah: Strictly speaking, a 70B, and this is even for transformer or non transformer, right? We we'll take less less resources than that 400 B [00:40:00] model, even if it did double the amount thinking. And if that's the case, and we are still all trying to figure this out, maybe the direction for us is really getting the sub 200 B to be as fast as efficient as possible.[00:40:11] Eugene Cheah: We a very efficient architecture that some folks happen to be working on to, to just reason it out over larger and larger context thing.[00:40:20] Question: Yeah. One thing I'm super interested in is. Models that can watch forever? Obviously you cannot train something on infinite context length. How are y'all thinking about that, where you run on a much longer context length than is possible to train on?[00:40:38] Dan Fu: Yeah, it's a, it's a great question. So I think when I think you guys probably had tweets along these lines, too. When we first started doing these things, because these are all recurrent models in theory you could just run it forever. You could just run it forever. And at the very least it won't, it won't like error out on your crash.[00:40:57] Dan Fu: There's another question of whether it can actually [00:41:00] use what it's seen in that infinite context. And I think there, so one place where probably the research and architectures ran faster Then another research is actually the benchmarks for long context. So you turn it on forever. You want to do everything or watch everything.[00:41:16] Dan Fu: What is it that you actually wanted to do? Can we actually build some benchmarks for that? Then measure what's happening. And then ask the question, can the models do it? Is there something else that they need? Yeah, I think that if I were to turn back the clock to 2022, that's probably one of the things I would have done differently, which would have been actually get some long context benchmarks out at the same time as we started pushing context length on all these models.[00:41:41] Eugene Cheah: I will also say the use case. So like, I think we both agree that there's no Infinite memory and the model needs to be able to learn and decide. I think what we have observed for, I think this also fits the state space model, is that one of the key advantages of this alternate attention mechanic that is not based on token position is that the model don't suddenly become crazy when you go past the [00:42:00] 8k training context tank, or a million context tank.[00:42:03] Eugene Cheah: It's actually still stable. It's still able to run, it's still able to rationalize. It just starts forgetting things. But some of these things are still there in latent memory. Some of these things are still somewhat there. That's the whole point of why reading twice works. Things like that. And one of the biggest pushes in this direction is that I think both Statespace and RWKB have Separate papers by other researchers where they use this architecture for time series data.[00:42:26] Eugene Cheah: Weather modeling. So, you are not asking what was the weather five days ago. You're asking what's the weather tomorrow based on the infinite length that we, as long as this Earth and the computer will keep running. So, so, and they found that it is like, better than existing, like, transformer or existing architecture in modeling this weather data.[00:42:47] Eugene Cheah: Control for the param size and stuff. I'm quite sure there are people with larger models. So, so there are things that, that in this case, right, there is future applications if your question is just what's next and not what's 10 years ago.[00:42:59] Dan Fu: Thanks so [00:43:00] much for having us. Get full access to Latent Space at www.latent.space/subscribe

On our geocaching podcast today, we have a discussion of the November Cache hiding theme, extreme (T5) caches along with a big announcement of a special geocaching project you'll want to know about. We also share interesting alternatives to GPS, a special message and new product from Logwerk, some contest winners and much more. Listen […] The post Show 887.0: Extreme Caches and Cache Odyssey appeared first on PodCacher: Geocaching Goodness.

Autumnal gloom has set in and the only way is down after Zara Hedderman's all-timer of a Top 5 on the previous episode, right? WRONG! Despite the astounding heights of that aforementioned T5, we're keeping the energy supercharged with the returning Max Zanga, present in-studio as a representative of mysterious rising solo talent Filmore!, who definitely is a different person than Max, honest. The new Filmore! EP is called Idle Death Gamble and it's really very good indeed, and so we talk about that and the overall project at large. Elsewhere, we've got a truly nonsensical Top 5, and a grab-bag of news to get through...And don't forget to hit up patreon.com/noencore, we've got a new Film Club episode dropping this Sunday, all about sweaty and problematic 1993 thriller Falling Down.ACT ONE: The preamble in which we ramble. ACT TWO: Filmore! in conversation. Kinda. ACT THREE (31:54): News! Robert Smith bashes Oasis, Taylor Swiftonomics keeps on churning out the goods, Donald Trump reveals his megamix, Atomic Kitten are still a thing, and some words for the late, great Ka. ACT FOUR (1:04:32): Top 5 Nonsense Songs. -Follow Max Zanga on Instagram / X Follow Filmore! on InstagramListen to Idle Death Gamble Get bonus content on Patreon Hosted on Acast. See acast.com/privacy for more information.

In this exclusive interview, David Mettler, EVP of Sales and Marketing, and John Shingler, EVP of T5 Data Centers, dive into the trends shaping the future of #datacenterdevelopment and #datacenteroperations. Discover how their company's integrated approach is attracting more clients and meeting the evolving needs of the industry. Learn why businesses are turning to T5 for both building and operating their data centers, ensuring they remain #ForeverOn.

Watch as T5's EVP John Shingler discusses the company's journey in Europe and what's next on the horizon. Over the past two years, T5 has achieved remarkable success in the region—launching a new client this year. The company has also expanded its footprint in the US with projects announced in Atlanta and Chicago.#datacenters #digitalinfrastructure

[This is one of the finalists in the 2024 book review contest, written by an ACX reader who will remain anonymous until after voting is done. I'll be posting about one of these a week for several months. When you've read them all, I'll ask you to vote for a favorite, so remember which ones you liked] Content warning: body horror, existential devastation, suicide. This book is an infohazard that will permanently alter your view of paraplegia. The Death of a Newly-Paraplegic Philosopher For me, paraplegia and life itself are not compatible. This is not life, it is something else. In May of 2006, philosophy student Clayton Schwartz embarks on a Pan-American motorcycle trip for the summer before law school. He is 30 years old and in peak physical condition.  He makes it as far south as Acapulco in Mexico before crashing into a donkey that had wandered into the road.  The impact crushes his spinal cord at the T5 vertebra, rendering him paralyzed from the nipples down.  On Sunday, February 24, 2008, he commits suicide. In the year and a half in between, he writes Two Arms and a Head, his combination memoir and suicide note.  https://www.astralcodexten.com/p/your-book-review-two-arms-and-a-head 

Thomas Griffiths owns Tomaskas Ltd, an animal lighting and husbandry consultancy out of the UK. In this episode, we discuss the ban on halogen & other incandescent heat lamps in the USA. Thomas explains what the ban means for the reptile industry moving forward, how to fight the ban, and also the science behind why we need to use incandescent bulbs for our animals. Thomas also discusses the European ban on T5 fluorescent tubes and some new exciting technology in the UVB lamp space. SHOW NOTES: https://www.animalsathomenetwork.com/205-heat-bulb-ban/ SHOW SPONSORS: Visit The BioDude here: www.thebiodude.com  @TheBioDudeJoshHalter  Visit Zoo Med Labs here: https://zoomed.com/  @ZooMed  CUSTOM REPTILE HABITATS: https://www.animalsathome.ca/crh JOIN US ON PATREON: https://www.patreon.com/animalsathome LINKS FROM THE EPISODE: https://tomaskas.co.uk/ https://tomaskas.co.uk/dont-let-them-take-your-heat-bulbs/ https://www.instagram.com/thetomaskas/ Reptile Lighting FB: https://www.facebook.com/groups/ReptileLighting/permalink/3222394354561805 We Discuss: 0:00 Coming Up The Bio Dude + Zoo Med 3:06 Welcome Thomas - What Is Going On? 12:51 The Halogen Ban 15:51 What is a Black Body Radiator? How Heat Lamps Work 26:18 Accidental Mismarketking - Heat Projectors 34:50 NERD Video - What they got wrong 43:18 NERD Video - What they got right 44:50 125W+ Is the Current Exception 46:02 The Zoo Med Labs Letter Leak 51:05 How To Fight The Halogen Ban 1:03:20 The Fluorescent Lamp Ban 1:05:44 New Exo Terra Bulbs 1:11:50 How Do UVB Fluorescent Tubes Function? 1:18:11 Understanding the Fluorescent Ban 1:30:18 What To Do Next? 1:35:52 Closing Thoughts

We are 36 holes complete at the 2024 Chevron Championship with two atop the leaderboard. Jin Hee Im and Atthaya Thitikul are tied at -8 with Nelly Korda 1 shot behind. Our very own Lauren Coughlin played tough trying to keep the momentum going after he opening 66. She sits at T5 with a host of others. We run down the leaderboard, discuss the other events going on, and close with our ESPN+ experience. Learn more about your ad choices. Visit megaphone.fm/adchoices