Podcasts about Gerard

Six years after her last appearance on the podcast (Episode 28, 15 June 2020), Natasha Luther-Jones  returns to join Laurent and Gerard for a lively catch-up on how both her career and the energy sector have evolved. What began with her being dubbed the “Queen of PPA” has expanded into a far broader role — prompting the hosts to crown her the “Energy Empress” as she now operates across the full spectrum of global energy and infrastructure.  Natasha reflects on the evolution as the Global co-chair in the Energy & Natural Resources practice at DLA Piper, describing how client demand has shifted from single-asset transactions to complex, multi-technology, cross-border platforms. The market has matured significantly, with renewables now firmly established as mainstream infrastructure and capital becoming more disciplined and selective.  A major growth area is battery energy storage systems (BESS), which have moved from being an adjunct to renewables to a core investment thesis in their own right. Storage, hybridisation and co-location strategies are reshaping project design, while revenue stacking and merchant exposure are demanding more sophisticated structuring and risk management.  On the M&A front, Natasha highlights sustained deal activity and strong valuations for scaled platforms and development pipelines. The market is firmly in a consolidation phase, with investors prioritising portfolio and platform transactions over single-asset deals. Innovative financing models, including holdco structures and cross-collateralisation across diversified portfolios, are increasingly replacing traditional asset-by-asset project finance.  The conversation also turns to the accelerating demand from AI-driven datacentres and the growing integration of digital infrastructure within energy complexes. As power demand surges, particularly for firm and clean energy, the convergence of energy and technology is creating new investment models and strategic partnerships — signalling that the next chapter of the energy transition will be defined as much by integration and capital structuring as by capacity build-out.

Taking Territory in the Days of Darkness - Ps Gerard Keehan - 13/03/2026 by

Power to Change the World - Ps Gerard Keehan - 15/03/2026 by

Catch up on all the footy news from AFL 360, Wednesday the 11th of March with Gerard Whateley and Garry Lyon. On this episode of AFL 360, Garry Lyon and Gerard Whateley break down all the key storylines heading into Round 1 of the AFL season.The panel takes a deep dive into the highly anticipated MCG clash between the Carlton Blues and the Richmond Tigers, analysing how both sides shape up for the blockbuster opener and what the result could mean for their seasons ahead. Gaz and Gerard then react to Hawthorn Hawks coach Sam Mitchell discussing the controversial Hawks duo arrest in America. Plus, the panel examines the latest developments surrounding Kysaiah Pickett and he flies back to the Northern Territory for personal reasons. For more of the show tune in on Fox Footy & KAYO.See omnystudio.com/listener for privacy information.

Wie is de ultieme waifu? Daar is nogal wat over te doen. Dus verklaren Gerard en Jocelyn de Waifu Wars, waarin favoriete anime-vrouwen het tegen elkaar opnemen. In dit deel strijden de waifu's van onze community tegen elkaar. De winnaar mag zich Community Waifu noemen, en gaat door naar de volgende ronde. (Inderdaad, geen van deze woorden staan in de bijbel.)Vind ons hier:DiscordWebsiteBlueSkyJocelyn op BlueSkyCommunity bracket:Afbeelding van de Community bracket 

Jamie is joined by Wayne 'Radar' Riley on this week's episode of the Sky Sports Golf Podcast to preview the 2026 Players Championship at TPC Sawgrass.They also look back on Akshay Bhatia's win at the Arnold Palmer Invitational and talk about Jon Rahm's victory at LIV Hong Kong.Plus, Jamie has an extended chat with world number 27, Ryan Gerard who discusses his season so far, his swing and near misses with low-flying birds!-Listen to every episode of the Sky Sports Golf Podcast here: skysports.com/sky-sports-golf-podcastYou can listen to the Sky Sports Golf Podcast on your smart speaker by asking it to "play Sky Sports Golf Podcast".Watch every episode of the Sky Sports Golf Podcast on YouTube here: Sky Sports Golf Podcast on YouTubeFor all the latest golf news, head to skysports.com/golfFor advertising opportunities email: skysportspodcasts@sky.uk

Mäkelä Conducts Symphonie fantastique by CSO Association

Prosper (Part 3) - Ps Gerard Keehan - 08/03/2026 by

Join Gerard Migeon, co-founder of Natural Womanhood, as he shares his inspiring path into pro-life advocacy, the science of natural family planning, and how faith-guided education is empowering women and girls through fertility awareness, cycle literacy, and healthier reproductive choices—beyond contraception and IVF alternatives.

GB2RS News Sunday, the 8th of March 2026   The news headlines: RSGB members – secure your place on the Direct Digital Synthesiser programming workshop The latest edition of RadCom Plus has been published Listen out for groups that are active for British Science Week There's still time for RSGB members to book their place on the Direct Digital Synthesizer programming workshop, taking place in Blackpool on Saturday the 11th of April. If you would like a flavour of the workshop, watch our short video recorded at last year's RSGB Convention. You can hear from participants who enjoyed exploring new opportunities with Arduino and appreciated having a full six hours to see the project through from start to finish. Find the video on our YouTube channel and Facebook profile, and book the workshop via rsgb.org/practical-events The Winter 2025 / Spring 2026 edition of the RSGB's digital technical supplement, RadCom Plus, is now available via the RSGB app for mobile and web. RSGB members can enjoy four technical articles, including part five in the ‘Operating on the 30THz band' series and ‘Understanding Coded Orthogonal Frequency Division Multiplexing'. You'll also find articles on ‘Taming the end-fed half-wave antenna' and on the construction and use of a 4m solid state linear amplifier. Don't forget you can save articles in the app by bookmarking them. Within the mobile app, you can also download the edition to read whilst you're on the go. Members can also browse all the back issues of RadCom Plus, dating back to 2015, within the app. If you're not a member yet, you can read a sample edition of RadCom Plus. Go to rsgb.org/radcom  to get started. British Science Week 2026 began last Friday, and a wide variety of amateur radio activity is taking place throughout the ten days. From kit building to Morse-a-thons, from skeds to radio direction finding, this is a fantastic showcase of amateur radio to wider audiences. There is still time to get involved in this national event that celebrates science, technology, engineering and maths by listening out for operators on the amateur bands. A number of groups will be active throughout the week, including the Royal Signals Museum Outreach team, who will be active on Wednesday, the 11th of March, as GB100RSM. The team will be running a day full of activities for 60 pupils from Milldown Academy in Blandford Forum, so listen out for them and exchange greetings. You can find details of other groups that will be on the air by going to rsgb.org/bsw  and selecting ‘Events happening near you' from the right-hand menu. The Full and Direct-to-Full Exam Handouts, references EX309 and EX320, have been updated with immediate effect, so their 5MHz band plans now align with the main RSGB band plan, which was updated in January 2026. The new editions can be found at rsgb.org/exam-forms. The changes highlight that caution must be exercised to avoid out-of-band operation, as well as the fact that the band is for Full Licensees only. This follows Ofcom monitoring and warnings to errant operators. To encourage activity on the 2m band, the 145 Alive team has introduced 145 Alive 50. The trial period for this initiative runs until the 18th of April. The rules are simple. Call CQ on the calling channel and have at least one QSO per day on the 2m band. Record your contacts and send your log for 50 or more days, in ADIF format, to 145aliveuk@gmail.com. Electronic certificates will be supplied by the 145 Alive team to successful applicants. 145 Alive needs net controllers for its next event on Saturday, the 18th of April. Stations will be on the air from 12 am to 3 pm. The event predominantly features FM, but some SSB stations will also be operating. If you or your group would like to run a net, email 145aliveuk@gmail.com. Remember to include your name, callsign, location and Maidenhead locator. Today, the 8th, the Vintage and Military Amateur Radio Society is attending the Audiojumble event at K2 Crawley, Pease Pottage Hill, Crawley, RH11 9BQ. The Society's display and information stand will be of interest to those who enjoy historic equipment, including vacuum tubes. Everyone is welcome to drop by and will be made very welcome. Please send details of all your news and events to radcom@rsgb.org.uk. The deadline for submissions is 10 am on Thursdays before the Sunday broadcast each week.  And now for details of rallies and events Today, the 8th, the Hack Green Military Surplus and Military Radio Hangar Sale is taking place at Hack Green Secret Nuclear Bunker, Nantwich, Cheshire CW5 8AL. The sale includes electronic equipment, amateur gear, components, military radio items and vehicle spares. For more information, visit hackgreen.co.uk On Sunday, the 15th of March, Ripon and District Amateur Radio Society Rally will take place at Great Ouseburn Village Hall, Lightmire Lane, Great Ouseburn, York YO26 9RL. The doors open for traders at 7.30 am and for the public at 10 am. Admission costs £5. Free parking and refreshments will be available. Tables are available at a cost of £10 each. Early booking is advised. For more information, email radars.rally@gmail.com Now the Special Event news To celebrate the centenary of the New Zealand Association of Radio Transmitters, which was formed on the 16th of August 1926, special callsign ZL100C will be active until August. QSL via the Bureau and Logbook of the World. Special callsign DB100FT is active throughout 2026 to celebrate the centenary of the Berlin Radio Tower. The 150m-high steel structure is one of the city's most iconic landmarks and has a prominent place in German radio broadcasting. Recently, the station was spotted on the HF bands using FT4 and FT8. QSL via the Bureau, or directly to DO2PZ. Now the DX news Jozef, ON6HX, is active again as YB9/ON6HX from Mataram on Lombok Island, OC-150, until Wednesday the 11th of March. The station is operating using CW, SSB, RTTY, FT8 and FT4. QSL via Logbook of the World, eQSL, or via Jozef's home call. Gerard, F2JD is active as HR5/F2JD from Copan, Honduras until Thursday, the 12th of March. He is operating using CW, SSB, FT8 and FT4 on the HF bands. QSL to F6AJA directly or via the Bureau. Now the contest news The RSGB March 144 and 432MHz Contest started at 1400UTC yesterday, the 7th, and runs until 1400UTC today, Sunday the 8th of March. Using all modes on the 2m and 70cm bands, the exchange is signal report, serial number and locator. The ARRL International DX Contest started at 0000UTC yesterday, the 7th, and runs until 2359UTC today, Sunday, the 8th of March. Using SSB on the 160 to 10m bands, where contests are permitted, the exchange is RST and transmit power. American stations also send their state, and Canadian stations send their province. On Tuesday, the 10th of March, the RSGB 432MHz FM Activity Contest runs from 1900 to 1955UTC. Using FM on the 70cm band, the exchange is signal report, serial number and locator. Also on Tuesday the 10th, the RSGB 432MHz UK Activity Contest runs from 2000 to 2230UTC. Using all modes on the 70cm band, the exchange is signal report, serial number and locator. On Wednesday, the 11th of March, the RSGB 432MHz FT8 Activity four-hour Contest runs from 1700 to 2100UTC. Using FT8 on the 70cm band, the exchange is a report and four-character locator. Also on Wednesday the 11th, the RSGB 432MHz FT8 Activity two-hour Contest runs from 1900 to 2100UTC. Using FT8 on the 70cm band, the exchange is a report and four-character locator. Stations entering the four-hour contest may also enter the two-hour contest. On Wednesday, the 11th of March, the RSGB 80m Club Championship runs from 2000 to 2130UTC. Using CW on the 80m band, the exchange is signal report and serial number. On Thursday, the 12th of March, the RSGB 50MHz UK Activity Contest runs from 2000 to 2230UTC. Using all modes on the 6m band, the exchange is signal report, serial number and locator. The Commonwealth Contest starts at 1000UTC on Saturday, the 14th of March and ends at 1000UTC on Sunday, the 15th of March. Using CW on the 80 to 10m bands, where contests are permitted, the exchange is signal report and serial number. On Sunday, the 15th of March, the UK Microwave Group Low Band Contest runs from 1000 to 1500UTC. Using all modes on 1.3 to 3.4GHz frequencies, the exchange is signal report, serial number and locator.  Now the radio propagation report, compiled by G0KYA, G3YLA and G4BAO on Thursday, the 5th of March 2026. What a difference a week makes! In our last report, we mentioned that there were zero sunspots and a solar flux index of 130. This week has seen a turnaround with five active sunspot regions and a solar flux index of 144. HF propagation has been reasonable with openings up to 10m to various parts of the world. We have only seen M-class solar flares, although there have been around 40 of them in the past five days. We had a brief excursion in the Kp index when it went to 5 during one three-hour period, late on the 3rd of March. However, it soon recovered and has been at 2 or lower for the past two days at the time of writing. The effects of a small Earth-facing coronal hole started coming past the Earth on Friday, the 6th of March and is expected to be the source of a solar wind stream. According to NOAA and the Space Weather Prediction Centre, Active to Minor G1 geomagnetic storming will be possible today, the 8th of March. We have now seen the start of the 3Y0K Bouvet Island DXpedition, which is due to run until around the 17th of March. It has already been worked from the UK on bands from 40 to 12m. Bouvet is virtually due south from the UK, and the higher bands should be open from around 0700 to around 1900UTC. The 40 and 30m bands should open from around 2000 to 0400UTC. So, there are plenty of opportunities to work the station. Next week, the Space Weather Prediction Centre in the US forecasts that the solar flux index may be around 156 today, the 8th, but will then decline to be in the 120s or even 110s later in the week. We may have slightly unsettled geomagnetic conditions around the 10th to the 12th of March and again on the 14th and 15th of March, with an estimated Kp index of 4. In summary, HF conditions are not bad. Keep an eye on solarham.com  for daily updates. And now the VHF and up propagation news from G3YLA and G4BAO The recent change of weather to introduce high pressure onto the scene provided some welcome enhanced tropo conditions in the last week. The March RSGB 144 and 432MHz Championship should still be able to benefit, except perhaps for the northwestern fringe of the UK, where the next Atlantic fronts will be making an intervention. It looks a little more problematic for the 432MHz UK Activity Contest on Tuesday, the 10th of March. The same is true for the RSGB 50MHz UK Activity Contest on Thursday, the 12th of March, as the low-pressure pattern returns and offers a chance of rain scatter for the microwave bands. The meteor scatter prospects are still driven by random activity, so as usual, a preference for the early hours of the morning is called for on this mode. It has been mentioned before that the Spring and Autumn are periods when auroras are more likely. This is known as the Russell-McPherron effect when the Earth's magnetic field is better coupled to the solar wind. So, keep monitoring the Kp index for signs of it going above 5. Then check the bands for fluttery signals, even on the LF bands. CW can be used as an early ‘heads up' for potential activity on the VHF bands. Lastly, thoughts about Sporadic-E should be kept in check for a while yet, since we are still very far away from the usual start of the season. For EME, Moon declination is negative and falling to a minimum next Thursday, meaning shortening Moon windows and lower peak elevation until then. Path losses are falling until apogee on Tuesday, the 10th of March. 144MHz Sky noise is moderate, rising to a high of more than 3000 Kelvin on Thursday and falling back by next weekend. And that's all from the propagation team this week.

Deze nieuwe aflevering staat in het teken van één van de bekendste schrijvers aller tijden: Stephen King. Het is haast onmogelijk geen Stephen King verfilming gezien te hebben, het zijn er ontelbaar veel.Maar eerst vertellen Erwin en Jeffrey waarom je snel naar de bioscoop moet rennen voor 'Hamnet' en 'Marty Supreme'. 2 films die een behoorlijke indruk hebben achtergelaten op onze FilmFanaten.Voor deze Stephen King aflevering keken we naar 'The Mist' (op Pathe Thuis) en 'Gerard's Game' (op Netflix). Geen enorme kaskrakers maar wel twee films waar zowel iets positiefs als iets negatiefs over te vertellen valt.We sluiten de aflevering af met onze kijktips voor de komende maand en we onthullen het thema voor de volgende aflevering. Welke dat is...je hoort het aan het einde van deze aflevering

Paul and Gerard discuss the NOAH Jr. Tag League, NOAH's current directions and its problems. Then it's on to All Japan with another Jr. tag tournament and a big show at Ota Ward Gym with lots of title matches including Kento Miyahara vs. Jun Saito for the Triple Crown. Plus previews of upcoming NOAH & All Japan shows.Our Sponsors:* Support our sponsor BetterHelp: https://www.betterhelp.comAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Paul and Gerard discuss the NOAH Jr. Tag League, NOAH's current directions and its problems. Then it's on to All Japan with another Jr. tag tournament and a big show at Ota Ward Gym with lots of title matches including Kento Miyahara vs. Jun Saito for the Triple Crown. Plus previews of upcoming NOAH & All Japan shows.Support this podcast at — https://redcircle.com/the-emerald-flowshow/donations

Neil Mitchell has played audio of former footballer and Brownlow Medallist, Gerard Healy, who spoke passionately about rallying around Jewish footy players recently.See omnystudio.com/listener for privacy information.

Last month, Gerard Reid joined Shayle Kann, Managing Partner at Energy Impact Partners, for a world class and fast-moving conversation on the state and future of Climate Tech.   The discussion was organised by Carbon Equity and led by its co-founder Liza Rubinstein Malamud.Originally it featured a third guest, Will Dufton of Giant Ventures, whose contributions were fully edited for this episode (with apologies — and an open invitation to return).  First strong statement: the Silicon Valley-style climate tech era of 2021–2022 is over. Gerard is clear that carbon removal and hydrogen, at least as they were framed and funded during the hype cycle, are effectively dead. What comes now is a far more grounded, infrastructure-driven view of the transition.  Both guests are emphatically bullish on energy and AI. Shayle especially sees climate tech not as a standalone vertical, but as a horizontal that cuts across the entire economy. Anything that supports electrification, datacenters, and energy-hungry digital infrastructure represents a major opportunity. Gerard pushes the horizon even further, imagining datacenters in space.  A central theme is the convergence of AI and the physical world. Shayle argues that as large language models become commoditised, value will move from bits to atoms — from software to real-world systems, infrastructure, and industrial processes. Gerard complements this with a strong emphasis on resilience, positioning it as a defining investment lens for the coming decade.  On batteries, there is rare and total agreement. Both see them as the most important technology of our time, underpinning electrification, grid stability, transport, and the scaling of renewables.  What emerges is an intense, wide-ranging exchange between two of the sharpest minds in the energy transition — a true Battle Royale on where climate, energy, and technology are heading next.  You can watch the hour-long video here: https://youtu.be/H5YE1Upe0JI?si=HlgHKFOOjZj8Gygp    

Shani & Rana by CSO Association

In this episode, Gerard Scarpaci, Co-Founder of Hairbrained, breaks down the Hairdresser Confidence Index and what the latest data reveals about job satisfaction, confidence, investment behavior, and why so many stylists describe their work with one word: overwhelmed.This conversation goes beyond surface metrics like retail and ticket averages to uncover what's happening below the waterline — and why salon owners who understand the emotional drivers behind performance will build stronger, more stable teams in 2026 and beyond.Follow/subscribe to be the first to know when new episodes are released. Like what you hear? Leave us a review!Key Takeaways:

This Friday episode begins with an apology from Andy after a missed opportunity to discuss Kevin Roy (and his dad, Patrick) as part of our preview of The Cognizant Classic. Brendan moves things along to an early check-in at the South African Open where George Coetzee withdrew after a poor start, ending his run in this week's Game Within a Game. Another Game Within a Game participant is Ernie Els, who Andy claimed "looked a little husky" on the range. This Ernie discussion ushers in a brand-new Champions Tour Minute after Andy and PJ heard from a well-placed source that the "next big thing" on the senior circuit is not Tiger Woods or Zach Johnson, but another 50-year-old waiting to make his debut. The bulk of this episode focuses on some comments from pre-tournament press conferences at The Cognizant Classic in The Palm Beaches. Shane Lowry believes that the overseed course setup by the Tour's Championship Management has dramatically altered this event from a tough test to now something that looks green on television. Billy Horschel tried to shift the blame off the Tour and to the resort at PGA National, but Andy and Brendan aren't giving them the benefit of the doubt. This issue with the setups is even further exemplified at this week's KFT event at the Jockey Club, with Andy saying that the Tour has "completely ruined so many places." Ryan Gerard, the betting favorite at this event, also had some things to say before he teed off. Gerard has been a focus of the Tour's marketing efforts this week and Brendan thinks this can be a model for future "PGA-B" events potentially making stars. Gerard shared a story about playing with Scottie Scheffler and how Scottie manages to bridge the gap between clubs by playing a high-launching shot. Gerard has been chasing that shot and believes he has it, hoping that it'll lead to success at the majors this year. Brendan then shares a Flashback Friday segment on the 1991 Honda Classic, won by Steve Pate. This story has it all, including a legendary overclub challenge by Paul Azinger and a scorekeeper finding a lost ball. A Golf Advice email about guarding Michael Jordan in a JV basketball game closes out this show - send your own stories to sgsgolfadvice@gmail.com for an upcoming showcase episode! Visit ⁠Cobalt⁠ and use code "FRIEDEGGPOD15" for 15% off: https://cobalt-golf.com/discount/FRIEDEGGPOD?redirect=%2Fcollections%2Fdiscountable-products

Il était une figure essentielle de la tradition lyrique belge et l'une des grandes voix de l'opéra européen. Le baryton-basse José van Dam, né à Ixelles le 25 aout 1940, a aussi fait des incursions dans le 7e art. Formé au Conservatoire de Bruxelles, il débute à l'Opéra de Paris avant de s'imposer sur les plus grandes scènes internationales. Dans Le Maître de Musique de Gérard Corbiau, il incarnait Joachim Dallayrac, maître de chant exigeant et rigoureux, animé par un profond sens de la transmission. On écoute d'abord le chanteur, puis le réalisateur, dans cette archive de la SONUMA datant de 1988. Sujets traités : José van Dam , Gerard Corbiau, opéra, Joachim Dallayrac, chant, musique, maître, Merci pour votre écoute Un Jour dans l'Histoire, c'est également en direct tous les jours de la semaine de 13h15 à 14h30 sur www.rtbf.be/lapremiere Retrouvez tous les épisodes d'Un Jour dans l'Histoire sur notre plateforme Auvio.be :https://auvio.rtbf.be/emission/5936 Intéressés par l'histoire ? Vous pourriez également aimer nos autres podcasts : L'Histoire Continue: https://audmns.com/kSbpELwL'heure H : https://audmns.com/YagLLiKEt sa version à écouter en famille : La Mini Heure H https://audmns.com/YagLLiKAinsi que nos séries historiques :Chili, le Pays de mes Histoires : https://audmns.com/XHbnevhD-Day : https://audmns.com/JWRdPYIJoséphine Baker : https://audmns.com/wCfhoEwLa folle histoire de l'aviation : https://audmns.com/xAWjyWCLes Jeux Olympiques, l'étonnant miroir de notre Histoire : https://audmns.com/ZEIihzZMarguerite, la Voix d'une Résistante : https://audmns.com/zFDehnENapoléon, le crépuscule de l'Aigle : https://audmns.com/DcdnIUnUn Jour dans le Sport : https://audmns.com/xXlkHMHSous le sable des Pyramides : https://audmns.com/rXfVppvN'oubliez pas de vous y abonner pour ne rien manquer.Et si vous avez apprécié ce podcast, n'hésitez pas à nous donner des étoiles ou des commentaires, cela nous aide à le faire connaître plus largement. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Editor's note: CuspAI raised a $100m Series A in September and is rumored to have reached a unicorn valuation. They have all-star advisors from Geoff Hinton to Yann Lecun and team of deep domain experts to tackle this next frontier in AI applications.In this episode, Max Welling traces the thread connecting quantum gravity, equivariant neural networks, diffusion models, and climate-focused materials discovery (yes, there is one!!!).We begin with a provocative framing: experiments as computation. Welling describes the idea of a “physics processing unit”—a world in which digital models and physical experiments work together, with nature itself acting as a kind of processor. It's a grounded but ambitious vision of AI for science: not replacing chemists, but accelerating them.Along the way, we discuss:* Why symmetry and equivariance matter in deep learning* The tradeoff between scale and inductive bias* The deep mathematical links between diffusion models and stochastic thermodynamics* Why materials—not software—may be the real bottleneck for AI and the energy transition* What it actually takes to build an AI-driven materials platformMax reflects on moving from curiosity-driven theoretical physics (including work with Gerard ‘t Hooft) toward impact-driven research in climate and energy. The result is a conversation about convergence: physics and machine learning, digital models and laboratory experiments, long-term ambition and incremental progress.Full Video EpisodeTimestamps* 00:00:00 – The Physics Processing Unit (PPU): Nature as the Ultimate Computer* Max introduces the idea of a Physics Processing Unit — using real-world experiments as computation.* 00:00:44 – From Quantum Gravity to AI for Materials* Brandon frames Max's career arc: VAE pioneer → equivariant GNNs → materials startup founder.* 00:01:34 – Curiosity vs Impact: How His Motivation Evolved* Max explains the shift from pure theoretical curiosity to climate-driven impact.* 00:02:43 – Why CaspAI Exists: Technology as Climate Strategy* Politics struggles; technology scales. Why materials innovation became the focus.* 00:03:39 – The Thread: Physics → Symmetry → Machine Learning* How gauge symmetry, group theory, and relativity informed equivariant neural networks.* 00:06:52 – AI for Science Is Exploding (Not Emerging)* The funding surge and why AI-for-Science feels like a new industrial era.* 00:07:53 – Why Now? The Two Catalysts Behind AI for Science* Protein folding, ML force fields, and the tipping point moment.* 00:10:12 – How Engineers Can Enter AI for Science* Practical pathways: curriculum, workshops, cross-disciplinary training.* 00:11:28 – Why Materials Matter More Than Software* The argument that everything—LLMs included—rests on materials innovation.* 00:13:02 – Materials as a Search Engine* The vision: automated exploration of chemical space like querying Google.* 01:14:48 – Inside CuspAI: The Platform Architecture* Generative models + multi-scale digital twin + experiment loop.* 00:21:17 – Automating Chemistry: Human-in-the-Loop First* Start manual → modular tools → agents → increasing autonomy.* 00:25:04 – Moonshots vs Incremental Wins* Balancing lighthouse materials with paid partnerships.* 00:26:22 – Why Breakthroughs Will Still Require Humans* Automation is vertical-specific and iterative.* 00:29:01 – What Is Equivariance (In Plain English)?* Symmetry in neural networks explained with the bottle example.* 00:30:01 – Why Not Just Use Data Augmentation?* The optimization trade-off between inductive bias and data scale.* 00:31:55 – Generative AI Meets Stochastic Thermodynamics* His upcoming book and the unification of diffusion models and physics.* 00:33:44 – When the Book Drops (ICLR?)TranscriptMax: I want to think of it as what I would call a physics processing unit, like a PPU, right? Which is you have digital processing units and then you have physics processing units. So it's basically nature doing computations for you. It's the fastest computer known, as possible even. It's a bit hard to program because you have to do all these experiments. Those are quite bulky, it's like a very large thing you have to do. But in a way it is a computation and that's the way I want to see it. You can do computations in a data center and then you can ask nature to do some computations. Your interface with nature is a bit more complicated. But then these things will have to seamlessly work together to get to a new material that you're interested in.[01:00:44:14 - 01:01:34:08]Brandon: Yeah, it's a pleasure to have Max Woehling as a guest today. Max has done so much over his career that I've been so excited about. If you're in the deep learning community, you probably know Max for his work on variational autocoders, which has literally stood the test of prime or officially stood the test of prime. If you are a scientist, you probably know him for his like, binary work on graph neural networks on equivariance. And if you're a material science, you probably know him about his new startup, CASPAI. Max has a long history doing lots of cool problems. You started in quantum gravity, which is I think very different than all of these other things you worked on. The first question for AI engineers and for scientists, what is the thread in how you think about problems? What is the thread in the type of things which excite you? And how do you decide what is the next big thing you want to work on?[01:01:34:08 - 01:02:41:13]Max: So it has actually evolved a lot. In my young days, let's breathe, I would just follow what I would find super interesting. I have kind of this sensor. I think many people have, but maybe not really sort of use very much, which is like, you get this feeling about getting very excited about some problem. Like it could be, what's inside of a black hole or what's at the boundary of the universe or what are quantum mechanics actually all about. And so I follow that basically throughout my career. But I have to say that as you get older, this changes a little bit in the sense that there's a new dimension coming to it and there's this impact. Going in two-dimensional quantum gravity, you pretty much guaranteed there's going to be no impact on what you do relative, maybe a few papers, but not in this world, this energy scale. As I get closer to retirement, which is fortunately still 10 years away or so, I do want to kind of make a positive impact in the world. And I got pretty worried about climate change.[01:02:43:15 - 01:03:19:11]Max: I think politics seems to have a hard time solving it, especially these days. And so I thought better work on it from the technology side. And that's why we started CaspAI. But there's also a lot of really interesting science problems in material science. And so it's kind of combining both the impact you can make with it as well as the interesting science. So it's sort of these two dimensions, like working on things which you feel there's like, well, there's something very deep going on here. And on the other hand, trying to build tools that can actually make a real impact in the world.[01:03:19:11 - 01:03:39:23]RJ: So the thread that when I look back, look at the different things that you worked out, some of them seem pretty connected, like the physics to equivariance and, yeah, and, uh, gravitational networks, maybe. And that seems to be somewhat related to Casp. Do you have a thread through there?[01:03:39:23 - 01:06:52:16]Max: Yeah. So physics is the thread. So having done, you know, spent a lot of time in theoretical physics, I think there is first very fundamental and exciting questions, like things that haven't actually been figured out in quantum gravity. So that is really the frontier. There's also a lot of mathematical tools that you can use, right? In, for instance, in particle physics, but also in general relativity, sort of symmetry space to play an enormously important role. And this goes all the way to gauge symmetries as well. And so applying these kinds of symmetries to, uh, machine learning was actually, you know, I thought of it as a very deep and interesting mathematical problem. I did this with Taco Cohen and Taco was the main driver behind this, went all the way from just simple, like rotational symmetries all the way to gauge symmetries on spheres and stuff like that. So, and, uh, Maurice Weiler, who's also here, um, when he was a PhD student, he was a very good student with me, you know, he wrote an entire book, which I can really recommend about the role of symmetries in AI and machine learning. So I find this a very deep and interesting problem. So more recently, so I've taken a sort of different path, which is the relationship between diffusion models and that field called stochastic thermodynamics. This is basically the thermodynamics, which is a theory of equilibrium. So but then formulated for out of equilibrium systems. And it turns out that the mathematics that we use for diffusion models, but even for reinforcement learning for Schrodinger bridges for MCMC sampling has the same mathematics as this theoretical, this physical theory of non-equilibrium systems. And that got me very excited. And actually, uh, when I taught a course in, um, Mauschenberg, uh, it is South Africa, close to Cape Town at the African Institute for Mathematical Sciences Ames. And I turned that into a book site. Two years later, the book was finished. I've sent it to the publisher. And this is about the deep relationship between free energy, diffusion models, basically generative AI and stochastic thermodynamics. So it's always some kind of, I don't know, I find physics very deep. I also think a lot about quantum mechanics and it's, it's, it's a completely weird theory that actually nobody really understands. And there's a very interesting story, which is maybe good to tell to connect sort of my PZ back to where I'm now. So I did my PZ with a Nobel Laureate, Gerard the toft. He says the most brilliant man I've ever met. He was never wrong about anything as long as I've seen him. And now he says quantum mechanics is wrong and he has a new theory of quantum mechanics. Nobody understands what he's saying, even though what he's writing down is not mathematically very complex, but he's trying to address this understandability, let's say of quantum mechanics head on. And I find it very courageous and I'm completely fascinated by it. So I'm also trying to think about, okay, can I actually understand quantum mechanics in a more mundane way? So that, you know, without all the weird multiverses and collapses and stuff like that. So the physics is always been the threat and I'm trying to apply the physics to the machine learning to build better algorithms.[01:06:52:16 - 01:07:05:15]Brandon: You are still very involved in understanding and understanding physics and the worlds. Yeah. And just like applications to machine learning or introducing no formalisms. That's really cool.[01:07:05:15 - 01:07:18:02]Max: Yes, I would say I'm not contributing much to physics, but I'm contributing to the interface between physics and science. And that's called AI for science or science or AI is kind of a super, it's actually a new discipline that's emerging.[01:07:18:02 - 01:07:18:19]Speaker 5: Yeah.[01:07:18:19 - 01:07:45:14]Max: And it's not just emerging, it's exploding, I would say. That's the better term because I know you go from investments into like in the hundreds of millions now in the billions. So there's now actually a startup by Jeff Bezos that is at 6.2 billion sheep round. Right. Insane. I guess it's the largest startup ever, I think. And that's in this field, AI for science. It tells you something that we are creating a new bubble here.[01:07:46:15 - 01:07:53:28]Brandon: So why do you think it is? What has changed that has motivated people to start working on AI for science type problems?[01:07:53:28 - 01:08:49:17]Max: So there's two reasons actually. One is that people have been applying sort of the new tools from AI to the sciences, which is quite natural. And there's of course, I think there's two big examples, protein folding is a big one. And the other one is machine learning forest fields or something called machine learning inter-atomic potentials. Both of them have been actually very successful. Both also had something to do with symmetries, which is a little cool. And sort of people in the AI sciences saw an opportunity to apply the tools that they had developed beyond advertised placement, right, or multimedia applications into something that could actually make a very positive impact in society like health, drug development, materials for the energy transition, carbon capture. These are all really cool, impactful applications.[01:08:50:19 - 01:09:42:14]Max: Despite that, the science and the kind of the is also very interesting. I would say the fact that these sort of these two fields are coming together and that we're now at the point that we can actually model these things effectively and move the needle on some of these sort of science sort of methodologies is also a very unique moment, I would say. People recognize that, okay, now we're at the cusp of something new, where it results whether the company is called after. We're at the cusp of something new. And of course that always creates a lot of energy. It's like, okay, there's something, it's like sort of virgin field. It's like nobody's green field. Nobody's been there. I can rush in and I can sort of start harvesting there, right? And I think that's also what's causing a lot of sort of enthusiasm in the fields.[01:09:42:14 - 01:10:12:18]RJ: If you're an AI engineer, basically if the people that listen to this podcast will be in the field, then you maybe don't have a strong science background. How does, but are excited. Most I would say most AI practitioners, BM engineers or scientists would consider themselves scientists and they have some background, a little bit of physics, a little bit of industry college, maybe even graduate school that have been working or are starting out. How does somebody who is not a scientist on a day-to-day basis, how do they get involved?[01:10:12:18 - 01:10:14:28]Max: Well, they can read my book once it's out.[01:10:16:07 - 01:11:05:24]Max: This is basically saying that there is more, we should create curricula that are on this interface. So I'm not sure there is, also we already have some universities actual courses you can take, maybe online courses you can take. These workshops where we are now are actually very good as well. And we should probably have more tutorials before the workshop starts. Actually we've, I've kind of proposed this at some point. It's like maybe first have an hour of a tutorial so that people can get new into the field. There's a lot out there. Most of it is of course inaccessible, but I would say we will create much more books and other contents that is more accessible, including this podcast I would say. So I think it will come. And these days you can watch videos and things. There's a huge amount of content you can go and see.[01:11:05:24 - 01:11:28:28]Brandon: So maybe a follow-up to that. How do people learn and get involved? But why should they get involved? I mean, we have a lot of people who are of our audience will be interested in AI engineering, but they may be looking for bigger impacts in the world. What opportunities does AI for science provide them to make an impact to change the world? That working in this the world of pure bits would not.[01:11:28:28 - 01:11:40:06]Max: So my view is that underlying almost everything is immaterial. So we are focusing a lot on LLMs now, which is kind of the software layer.[01:11:41:06 - 01:11:56:05]Max: I would say if you think very hard, underlying everything is immaterial. So underlying an LLM is a GPU, and underlying a GPU is a wafer on which we will have to deposit materials. Do we want to wait a little bit?[01:12:02:25 - 01:12:11:06]Max: Underlying everything is immaterial. So I was saying, you know, there's the LLM underlying the LLM is a GPU on which it runs. In order to make that GPU,[01:12:12:08 - 01:12:43:20]Max: you have to put materials down on a wafer and sort of shine on it with sort of EUV light in order to etch kind of the structures in. But that's now an actual material problem, because more or less we've reached the limits of scaling things down. And now we are trying to improve further by new materials. So that's a fundamental materials problem. We need to get through the energy transition fast if we don't want to kind of mess up this world. And so there is, for instance, batteries. That's a complete materials problem. There's fuel cells.[01:12:44:23 - 01:13:01:16]Max: There is solar panels. So that they can now make solar panels with new perovskite layers on top of the silicon layers that can capture, you know, theoretically up to 50% of the light, where now we're at, I don't know, maybe 22 or something. So these are huge changes all by material innovation.[01:13:02:21 - 01:13:47:15]Max: And yeah, I think wherever you go, you know, I can probably dig deep enough and then tell you, well, actually, the very foundation of what you're doing is a material problem. And so I think it's just very nice to work on this very, very foundation. And also because I think this is maybe also something that's happening now is we can start to search through this material space. This has never been the case, right? It's like scientists, the normal way of working is you read papers and then you come up with no hypothesis. You do an experiment and you learn, et cetera. So that's a very slow process. Now we can treat this as a search engine. Like we search the internet, we now search the space of all possible molecules, not just the ones that people have made or that they're in the universe, but all of them.[01:13:48:21 - 01:14:42:01]Max: And we can make this kind of fully automated. That's the hope, right? We can just type, it becomes a tool where you type what you want and something starts spinning and some experiments get going. And then, you know, outcome list of materials and then you look at it and say, maybe not. And then you refine your query a little bit. And you kind of do research with this search engine where a huge amount of computation and experimentation is happening, you know, somewhere far away in some lab or some data center or something like this. I find this a very, very promising view of how we can sort of build a much better sort of materials layer underneath almost everything. And also more sustainable materials. Our plastics are polluting the planet. If you come up with a plastic that kind of destroys itself, you know, after, I don't a few weeks, right? And actually becomes a fertilizer. These are things that are not impossible at all. These things can be done, right? And we should do it.[01:14:42:01 - 01:14:47:23]RJ: Can you tell us a little bit just generally about CUSBI and then I have a ton of questions.[01:14:47:23 - 01:14:48:15]Speaker 5: Yeah.[01:14:48:15 - 01:17:49:10]Max: So CUSBI started about 20 months ago and it was because I was worried about I'm still worried about climate change. And so I realized that in order to get, you know, to stay within two degrees, let's say, we would not only have to reduce our emissions to zero by 2050, but then, you know, another half century or even a century of removing carbon dioxide from the atmosphere, not by reducing your emissions, but actually removing it at a rate that's about half the rate that we now emit it. And that is a unsolved problem. But if we don't solve it, two degrees is not going to happen, right? It's going to be much more. And I don't think people quite understand how bad that can be, like four degrees, like very bad. So this technology needs to be developed. And so this was my and my co-founder, Chet Edwards, motivation to start this startup. And also because, you know, we saw the technology was ready, which is also very good. So if you're, you know, the time is right to do it. And yeah, so we now in the meanwhile, we've grown to about 40 people. We've kind of collected 130 million investment into the company, which is for a European company is quite a lot. I would say it's interesting that right after that, you know, other startups got even more. So that's kind of tells you how fast this is growing. But yeah, we are we are now at the we've built the platform, of course, but it's for a series of material classes and it needs to be constantly expanded to new material classes. And it can be more automated because, you know, we know putting LLMs in as the whole thing gets more and more automated. And now we're moving to sort of high throughput experimentation. So connecting the actual platform, which is computational, to the experiments so that you can get also get fast feedback from experiments. And I kind of think of experiments as something you do at the end, although that's what we've been doing so far. I want to think of it as what I would call a sort of a physics processing unit, like a PPU, right, which is you have digital processing units and then you have physics processing units. So it's basically nature doing computations for you. It's the fastest computer known as possible, even. It's a bit hard to program because you have to do all these experiments. Those are quite, quite bulky. It's like a very large thing you have to do. But in a way, it is a computation. And that's the way I want to see it. So I want to you can do computations in a data center and then you can ask nature to do some computations. Your interface with nature is a bit more complicated. But then these things will have to seamlessly work together to get to a new material that you're interested in. And that's the vision we have. We don't say super intelligence because I don't quite know what it means and I don't want to oversell it. But I do want to automate this process and give a very powerful tool in the hands of the chemists and the material scientists.[01:17:49:10 - 01:18:01:02]Brandon: That actually brings up a question I wanted to ask you. First of all, can you talk about your platform to like whatever degree, like explain kind of how it works and like what you your thought processes was in developing it?[01:18:01:02 - 01:20:47:22]Max: Yeah, I think it's been surprisingly, it's not rocket science, I would say. It's not rocket science in the sense of the design and basically the design that, you know, I wrote down at the very beginning. It's still more or less the design, although you add things like I wasn't thinking very much about multi-scale models and as the common are rated that actually multi-scale is very important. And the beginning, I wasn't thinking very much about self-driving labs. But now I think, you know, we are now at the stage we should be adding that. And so there is sort of bits and details that we're adding. But more or less, it's what you see in the slide decks here as well, which is there is a generative component that you have to train to generate candidates. And then there is a digital twin, multi-scale, multi-fidelity digital twin, which you walk through the steps of the ladder, you know, they do the cheap things first, you weed out everything that's obviously unuseful, and then you go to more and more expensive things later. And so you narrow things down to a small number. Those go into an experiment, you know, do the experiment, get feedback, etc. Now, things that also have been more recently added is sort of more agentic sort of parts. You know, we have agents that search the literature and come up with, you know, actually the chemical literature and come up with, you know, chemical suggestions for doing experiments. We have agents which sort of autonomously orchestrate all of the computations and the experiments that need to be done. You know, they're in various stages of maturity and they can be continuously improved, I would say. And so that's basically I don't think that part. There's rocket science, but, you know, the design of that thing is not like surprising. What is it's surprising hard to actually build it. Right. So that's that's the thing that is where the moat is in the data that you can get your hands on and the and actually building the platform. And I would say there's two people in particular I want to call out, which is Felix Hunker, who is actually, you know, building the scientific part of the platform and Sandra de Maria, who is building the sort of the skate that is kind of this the MLOps part of the platform. Yeah. And so and recently we also added sort of Aaron Walsh to our team, who is a very accomplished scientist from Imperial College. We're very happy about that. He's going to be a chief science officer. And we also have a partnerships team that sort of seeks out all the customers because I think this is one thing I find very important. In print, it's so complex to do to actually bring a material to the real world that you must do this, you know, in collaboration with sort of the domain experts, which are the companies typically. So we always we only start to invest in the direction if we find a good industrial partner to go on that journey with us.[01:20:47:22 - 01:20:55:12]Brandon: Makes a lot of sense. Over the evolution of the platform, did you find that you that human intervention, human,[01:20:56:18 - 01:21:17:01]Brandon: I guess you could start out with a pure, you could imagine two directions when you start up making everything purely automatic, automated, agentic, so on. And then later on, you like find that you need to have more human input and feedback different steps. Or maybe did you start out with having human feedback? You have lots of steps and then like kind of, yeah, figure out ways to remove, you know,[01:21:17:01 - 01:22:39:18]Max: that is the second one. So you build tools for you. So it's much more modular than you think. But it's like, we need these tools for this application. We need these tools. So you build all these tools, and then you go through a workflow actually in the beginning just manually. So you put them in a first this tool, then run this to them or this with sithery. So you put them in a workflow and then you figure out, oh, actually, you know, this this porous material that we are trying to make actually collapses if you shake it a bit. Okay, then you add a new tool that says test for stability. Right. Yeah. And so there's more and more tools. And then you build the agent, which could be a Bayesian optimizer, or it could be an actual other them, you know, maybe trained to be a good chemist that will then start to use all these tools in the right way in the right order. Yeah. Right. But in the beginning, it's like you as a chemist are putting the workflow together. And then you think about, okay, how am I going to automate this? Right. For one very easy question you can ask yourself is, you know, every time somebody who is not a super expert in DFT, yeah, and he wants to do a calculation has to go to somebody who knows DFT. And so could you start to automate that away, which is like, okay, make it so user friendly, so that you actually do the right DFT for the right problem and for the right length of time, and you can actually assess whether it's a good outcome, etc. So you start to automate smaller small pieces and bigger pieces, etc. And in the end, the whole thing is automated.[01:22:39:18 - 01:22:53:25]Brandon: So your philosophy is you want to provide a set of specific tools that make it so that the scientists making decisions are better informed and less so trying to create an automated process.[01:22:53:25 - 01:23:22:01]Max: I think it's this is sort of the same where you're saying because, yes, we want to automate, yeah, but we don't see something very soon where the chemists and the domain expert is out of the loop. Yeah, but it but it's a retreat, right? It's like, okay, so first, you need an expert to tell you precisely how to set the parameters of the DFT calculation. Okay, maybe we can take that out. We can maybe automate that, right? And so increasingly, more of these things are going to be removed.[01:23:22:01 - 01:23:22:19]Speaker 5: Yeah.[01:23:22:19 - 01:24:33:25]Max: In the end, the vision is it will be a search engine where you where somebody, a chemist will type things and we'll get candidates, but the chemist will still decide what is a good material and what is not a good material out of that list, right? And so the vision of a completely dark lab, where you can close the door and you just say, just, you know, find something interesting and then it will it will just figure out what's interesting and we'll figure out, you know, it's like, oh, I found this new material to blah, blah, blah, blah, right? That's not the vision I have. He's not for, you know, a long time. So for me, it's really empowering the domain experts that are sitting in the companies and in universities to be much faster in developing their materials. And I should say, it's also good to be a little humble at times, because it is very complicated, you know, to bring it to make it and to bring it into the real world. And there are people that are doing this for the entire lives. Yeah. Right. And it's like, I wonder if they scratch their head and say, well, you know, how are you going to completely automate that away, like in the next five years? I don't think that's going to happen at all.[01:24:35:01 - 01:24:39:24]Max: Yeah. So to me, it's an increasingly powerful tool in the hands of the chemists.[01:24:39:24 - 01:25:04:02]RJ: I have a question. You've talked before about getting people interested based on having, you know, sort of a big breakthrough in materials, incremental change. I'm curious what you think about the platform you have now in are sort of stepping towards and how are you chasing the big change or is this like incremental or is there they're not mutually exclusive, obviously, but what do you think about that?[01:25:04:02 - 01:26:04:27]Max: We follow a mixed strategy. So we are definitely going after a big material. Again, we do this with a partner. I'm not going to disclose precisely what it is, but we have our own kind of long term goal. You could call it lighthouse or, you know, sort of moonshot or whatever, but it is going to be a really impactful material that we want to develop as a proof point that it can be done and that it will make it into the into the real world and that AI was essential in actually making it happen. At the same time, we also are quite happy to work with companies that have more modest goals. Like I would say one is a very deep partnership where you go on a journey with a company and that's a long term commitment together. And the other one is like somebody says, I knew I need a force field. Can you help me train this force field and then maybe analyze this particular problem for me? And I'll pay you a bunch of money for that. And then maybe after that we'll see. And that's fine too. Right. But we prefer, you know, the deep partnerships where we can really change something for the good.[01:26:04:27 - 01:26:22:02]RJ: Yeah. And do you feel like from a platform standpoint you're ready for that or what are the things that and again, not asking you to disclose proprietary secret sauce, but what are the things generally speaking that need to happen from where we are to where to get those big breakthroughs?[01:26:22:02 - 01:28:40:01]Max: What I find interesting about this field is that every time you build something, it's actually immediately useful. Right. And so unlike quantum computing, which or nuclear fusion, so you work for 20, 30, 40 years and nothing, nothing, nothing, nothing. And then it has to happen. Right. And when it happens, it's huge. So it's quite different here because every time you introduce, so you go to a customer and you say, so what do you need? Right. So we work, let's say, on a problem like a water filtration. We want to remove PFAS from water. Right. So we do this with a company, Camira. So they are a deep partner for us. Right. So we on a journey together. I think that the breakthrough will happen with a lot of human in the loop because there is the chemists who have a whole lot more knowledge of their field and it's us who will help them with training, having a new message. And in that kind of interface, these interactions, something beautiful will happen and that will have to happen first before this field will really take off, I think. And so in the sense that it's not a bubble, let's put it that way. So that's people see that as actual real what's happening. So in the beginning, it will be very, you know, with a lot of humans in the loop, I would say, and I would I would hope we will have this new sort of breakthrough material before, you know, everything is completely automated because that will take a while. And also it is very vertical specific. So it's like completely automating something for problem A, you know, you can probably achieve it, but then you'll sort of have to start over again for problem B because, you know, your experimental setup looks very different in the machines that you characterize your materials look very different. Even the models in your platform will have to be retrained and fine tuned to the new class. So every time, you know, you have a lot of learnings to transfer, but also, you know, the problems are actually different. And so, yes, I would want that breakthrough material before it's completely automated, which I think is kind of a long term vision. And I would say every time you move to something new, you'll have to start retraining and humans will have to come in again and say, okay, so what does this problem look like? And now sort of, you know, point the the machine again, you know, in the new direction and then and then use it again.[01:28:40:01 - 01:28:47:17]RJ: For the non-scientists among us, me included a bit of a scientist. There's a lot of terminology. You mentioned DFT,[01:28:49:00 - 01:29:01:11]RJ: you equivariance we've talked about. Can you sort of explain in engineering terms or the level of sophistication and engineering? Well, how what is equivariance?[01:29:01:11 - 01:29:55:01]Max: So equivariance is the infusion of symmetry in neural networks. So if I build a neural network, let's say that needs to recognize this bottle, right, and then I rotate the bottle, it will then actually have to completely start again because it has no idea that the rotated bottle. Well, actually, the input that represents a rotated bottle is actually rotated bottle. It just doesn't understand that. Right. If you build equivariance in basically once you've trained it in one orientation, it will understand it in any other orientation. So that means you need a lot less data to train these models. And these are constraints on the weights of the model. So so basically you have to constrain the way such data to understand it. And you can build it in, you can hard code it in. And yeah, this the symmetry groups can be, you know, translations, rotations, but also permutations. I can graph neural network, their permutations and then physics, of course, as many more of these groups.[01:29:55:01 - 01:30:01:08]RJ: To pray devil's advocate, why not just use data augmentation by your bottle is in all the different orientations?[01:30:01:08 - 01:30:58:23]Max: As an option, it's just not exact. It's like, why would you go through the work of doing all that? Where you would really need an infinite number of augmentations to get it completely right. Where you can also hard code it in. Now, I have to say sometimes actually data augmentation works even better than hard coding the equivariance in. And this is something to do with the fact that if you constrain the optimization, the weights before the optimization starts, the optimization surface or objective becomes more complicated. And so it's harder to find good minima. So there is also a complicated interplay, I think, between the optimization process and these constraints you put in your network. And so, yeah, you'll hear kind of contradicting claims in this field. Like some people and for certain applications, it works just better than not doing it. And sometimes you hear other people, if you have a lot of data and you can do data augmentation, then actually it's easier to optimize them and it actually works better than putting the equivariance in.[01:30:58:23 - 01:31:07:16]Brandon: Do you think there's kind of a bitter lesson for mathematically founded models and strategies for doing deep learning?[01:31:07:16 - 01:31:46:06]Max: Yeah, ultimately it's a trade-off between data and inductive bias. So if your inductive bias is not perfectly correct, you have to be careful because you put a ceiling to what you can do. But if you know the symmetry is there, it's hard to imagine there isn't a way to actually leverage it. But yeah, so there is a bitter lesson. And one of the bitter lessons is you should always make sure your architecture is scale, unless you have a tiny data set, in which case it doesn't matter. But if you, you know, the same bitter lessons or lessons that you can draw in LLM space are eventually going to be true in this space as well, I think.[01:31:47:10 - 01:31:55:01]RJ: Can you talk a little bit about your upcoming book and tell the listeners, like, what's exciting about it? Yeah, I should read it.[01:31:55:01 - 01:33:42:20]Max: So this book is about, it's called Generative AI and Stochastic Thermodynamics. It basically lays bare the fact that the mathematics that goes into both generative AI, which is the technology to generate images and videos, and this field of non-equilibrium statistical mechanics, which are systems of molecules that are just moving around and relaxing to the ground state, or that you can control to have certain, you know, be in a certain state, the mathematics of these two is actually identical. And so that's fascinating. And in fact, what's interesting is that Jeff Hinton and Radford Neal already wrote down the variational free energy for machine learning a long time ago. And there's also Carl Friston's work on free energy principle and active entrance. But now we've related it to this very new field in physics, which is called stochastic thermodynamics or non-equilibrium thermodynamics, which has its own very interesting theorems, like fluctuation theorems, which we don't typically talk about, but we can learn a lot from. And I think it's just it can sort of now start to cross fertilize. When we see that these things are actually the same, we can, like we did for symmetries, we can now look at this new theory that's out there, developed by these very smart physicists, and say, okay, what can we take from here that will make our algorithms better? At the same time, we can use our models to now help the scientists do better science. And so it becomes a beautiful cross-fertilization between these two fields. The book is rather technical, I would say. And it takes all sorts of things that have been done as stochastic thermodynamics, and all sorts of models that have been done in the machine learning literature, and it basically equates them to each other. And I think hopefully that sense of unification will be revealing to people.[01:33:42:20 - 01:33:44:05]RJ: Wait, and when is it out?[01:33:44:05 - 01:33:56:09]Max: Well, it depends on the publisher now. But I hope in April, I'm going to give a keynote at ICLR. And it would be very nice if they have this book in my hand. But you know, it's hard to control these kind of timelines.[01:33:56:09 - 01:33:58:19]RJ: Yeah, I'm looking forward to it. Great.[01:33:58:19 - 01:33:59:25]Max: Thank you very much. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

We're joined by Fr. Tat Hoang, pastor at St. Gerard Majella in Baton Rouge with parish update. Deacon Martin Gutierrez, Vice-President Mission & Community Engagement of Catholic Charities in the Archdiocese of New Orleans joins us. Dr. Luke Arredondo, Executive Director of the St. Brendan Center for Evangelization and Spirituality in the Diocese of Pensacola-Tallahassee with Catholic 101 segment on Lent-  should we count Sundays in our Lenten fast?

In this episode, we explore how sloth shows up not as laziness, but as quiet disengagement — in careers we tolerate, relationships we neglect, faith we postpone, and goals we endlessly defer. We examine how comfort, distraction, and digital noise create a life that feels busy yet spiritually and emotionally stagnant. We address the subtle […] L'articolo Science, Religion, and the Modern World – Sloth in the Prime of Your Life – Michael Flanagan and Gerard McReavy proviene da Radio Maria.

Við kynntum okkur aðeins sprotafyrirtækið Humble í dag, þau hafa hannað smáforrit fyrir snjallsíma þar sem boðið er upp á mat sem annars færi til spillis á lækkuðu verði sem þá bæði býður notendum upp á ódýrari vöru og hjálpar til við að minnka matarsóun. Á einu ári tókst notendum appsins að koma í veg fyrir að 31 tonn af matvælum færu til spillis. Rósa S. Markúsdóttir og Hlynur Rafn Guðmundsson voru hjá okkur í dag og sögðu okkur betur frá forritinu og verkefninu. Við fræddumst svo um virkniþing í þágu eldra fólks í Kópavogi sem fer fram á morgun í Kórnum. Þar er verið að stuðla að félagslegri virkni eldra fólks í bæjarfélaginu. Hlín Sigþórsdóttir, verkefnastjóri velferðasviðs og Fríða Karen Gunnarsdóttir, vekefnastjóri Virkni og vellíðan hjá Kópavogsbæ, komu í þáttinn og sögðu okkur betur frá virkniþinginu. Bíó Paradís, í samstarfi við Goethe-Institut Dänemark, German Films og Þýska sendiráðið á Íslandi, standa fyrir Þýskum kvikmyndadögum í sextánda sinn. Þeir hefjast á föstudaginn og það kennir ýmissa grasa í dagskránni sem vert var að skoða með Ásu Baldursdóttur frá Bíó Paradís. Tónlist í þættinum í dag Áður oft ég hef arkað þennan veg / Haukur Morthens og hljómsveit Sigurd Jensen (erlent lag, texti Egill Bjarnason) Let go of Your Plans / Lukas Nelson & The Promise of the Real (Lukas Nelson) Ágústín / Sigrún Jónsdóttir (Åge Gerard, texti Jón Sigurðsson) Io E Te (Ég og þú) / Emilíana Torrini (Leone Tinganelli) UMSJÓN: GUÐRÚN GUNNARSDÓTTIR OG GUNNAR HANSSON

Lithium has doubled in three months. Copper is printing record highs. Silver went vertical—then collapsed. The move was fast. The reversals were faster. Volatility isn't elevated. It's systemic.  But this isn't just another commodity cycle. These metals sit at the core of the energy transition. They're embedded in batteries, EVs, transmission lines, datacenters, wind turbines, and solar modules. When they move, the entire transition complex moves with them.  So, what are we really looking at? Is this a positioning squeeze in thin markets? Or the early tremors of a structural repricing?  The divide is clear. At The Carlyle Group, Jeff Currie argues we're only “on the foothills of the Himalayas” — the early stage of a structural supercycle driven by electrification, grid build-out, and constrained supply. Ed Morse pushes back. High prices cure high prices. Capital flows. Supply responds. Markets rebalance. Cycles end the way they always have. Two very different frameworks. One structural. One cyclical.  To cut through the noise, Laurent and Gerard sit down with Matt Fernley, Managing Director at Battery Materials Review and Partner at RK Equity. They dissect what's actually driving these rallies — inventory tightness, permitting bottlenecks, capital discipline, geopolitics, demand elasticity.  They confront the supply question head-on: Can new production realistically catch up — on time, on budget, and at scale? And they explore the technologies that could reshape the curve — from the re-emergence of direct lithium extraction (DLE) to the accelerating development of sodium-ion batteries.  This isn't just about price volatility. It's about whether the energy transition is entering a new cost regime. Because if these inputs are structurally repricing, everything downstream changes. And if they aren't — the unwind could be just as violent.----Link to the report by the Volta Foundationhttps://volta.foundation/battery-report-2025/

Tous les dimanches à minuit, Daniel Riolo propose une heure de show en direct avec Moundir Zoughari pour les passionnés de poker. Conseils d'un joueur professionnel, actualité, tournois... Votre rendez-vous poker, sur RMC !

This month Gerard Koskovich returns and joins Dr. Jen Reck to talk about their new history of San Francisco’s Castro neighborhood titled, “The Castro.”  This new publication just scratches the surface of a long and detailed history of the neighborhood and it’s place in greater San Francisco gay history.  Gerard and Jen are working on a more expansive volume and want to hear from you about your history in the Castro. Finn Deerhart shares his conversation with Devlin Shand, one of the founders of Queer Arts Featured, a gallery and performance space located in Harvey Milks former camera store location. Devlin talks about how art and performance is an important form of activism in today's challenging world. Learn More Order “The Castro” booklet from Fabulosa Books Share Your Story About The Castro Queer Arts Featured About The Regular Voices Finn Deerhart Raif Derrazi Listen To This Edition Of Outbeat News In Depth Here The post Show Notes – Feb. 22, 2026 appeared first on Outbeat Radio News.

Mäkelä & Trifonov by CSO Association

Stephen Grootes spoke to Hlelo Giyose and Ntsika Ntsokolo about navigating emerging‑market investment choke points, to Dr. Rutendo Hwindingwi about top business stories across Africa, to Graham Mitchell about the principles behind his book Compounding Advantage, and to Paul Gerard about Flanagan & Gerard’s work in developing and managing South Africa’s retail property sector. The Money Show is a podcast hosted by well-known journalist and radio presenter, Stephen Grootes. He explores the latest economic trends, business developments, investment opportunities, and personal finance strategies. Each episode features engaging conversations with top newsmakers, industry experts, financial advisors, entrepreneurs, and politicians, offering you thought-provoking insights to navigate the ever-changing financial landscape.    Thank you for listening to a podcast from The Money Show Listen live Primedia+ weekdays from 18:00 and 20:00 (SA Time) to The Money Show with Stephen Grootes broadcast on 702 https://buff.ly/gk3y0Kj and CapeTalk https://buff.ly/NnFM3Nk For more from the show, go to https://buff.ly/7QpH0jY or find all the catch-up podcasts here https://buff.ly/PlhvUVe Subscribe to The Money Show Daily Newsletter and the Weekly Business Wrap here https://buff.ly/v5mfetc The Money Show is brought to you by Absa     Follow us on social media   702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/CapeTalk 702 on YouTube: https://www.youtube.com/@radio702   CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/Radio702 CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

Stephen Grootes spoke to Hlelo Giyose and Ntsika Ntsokolo about navigating emerging‑market investment choke points, to Dr. Rutendo Hwindingwi about top business stories across Africa, to Graham Mitchell about the principles behind his book Compounding Advantage, and to Paul Gerard about Flanagan & Gerard’s work in developing and managing South Africa’s retail property sector. The Money Show is a podcast hosted by well-known journalist and radio presenter, Stephen Grootes. He explores the latest economic trends, business developments, investment opportunities, and personal finance strategies. Each episode features engaging conversations with top newsmakers, industry experts, financial advisors, entrepreneurs, and politicians, offering you thought-provoking insights to navigate the ever-changing financial landscape.    Thank you for listening to a podcast from The Money Show Listen live Primedia+ weekdays from 18:00 and 20:00 (SA Time) to The Money Show with Stephen Grootes broadcast on 702 https://buff.ly/gk3y0Kj and CapeTalk https://buff.ly/NnFM3Nk For more from the show, go to https://buff.ly/7QpH0jY or find all the catch-up podcasts here https://buff.ly/PlhvUVe Subscribe to The Money Show Daily Newsletter and the Weekly Business Wrap here https://buff.ly/v5mfetc The Money Show is brought to you by Absa     Follow us on social media   702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/CapeTalk 702 on YouTube: https://www.youtube.com/@radio702   CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/Radio702 CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

Sokhiev & Avdeeva by CSO Association

Gerard Bessiere. „Plunksna“. Skaito aktorė Dalia Michelevičiūtė.

For years, Gerard carried the weight of leadership and life on my shoulders. He knew the pressure of responsibility, the endless demands, and the silent cost of trying to stay strong while feeling anything but peaceful inside. That journey led him to explore and master Taoist practices—timeless principles that taught him how to bring stillness into the storm, clarity into complex decisions, and resilience into every setback. His method, outlined in his book How to make life simple, happy and successful the Taoist way: Introduction to a new way of living, combines ancient, secret Taoist wisdom, modern psychology, and deep storytelling. The result? Leaders regain peace of mind, rediscover joy in their work, and move forward with strength and confidence.  

What does it actually mean when someone says, "I just want to be heard" and why does it matter so much in mediation? In this episode, I'm joined by Gerard Rees, Senior Family Dispute Resolution Practitioner at Simple Separation, to unpack what mediators listen for, how power imbalances show up, and why superannuation is often the most underestimated asset in family property settlements. We talk through full and frank disclosure, why you shouldn't mediate "blind," and the very real house vs super trade-offs that can shape your life not just now but in 10, 15, 30 years. In this episode we cover: Why "I want to be heard" can signal a power imbalance (especially financially); The non-negotiables before mediation: an agreed balance sheet + values + disclosure; Why legal advice before mediation changes everything (confidence, clarity, reality testing); How the law recognises non-financial contributions (parenting + domestic work); Why super feels "personal" (and why people get emotionally attached to it); The most common house vs super trade-off and how to think it through; Gerard's best "pause before you agree" tip: today's needs vs future security. Let's Keep the Conversation Going: Visit Divorce and Separation Hub to explore expert resources, courses, and programs tailored to your needs. Share your questions or comments you're not alone in this. Host: Nikki Parkinson, TEDx Speaker, Divorce Doula, Coach and Founder of The Divorce and Separation Hub. The Divorce and Separation Hub Website The Divorce and Separation Hub Instagram The Divorce and Separation Hub Facebook The Divorce and Separation Hub Linkedin Join our Divorce and Separation community HERE. Watch Nikki's TEDx Talk HERE. Guest: Gerard Rees, Senior Mediator, Simple Separation  Website Instagram Loved This Episode? Support the podcast by subscribing, leaving a five-star review, and sharing it with someone who could use a little extra support right now. This podcast's audio production crafted by Dan at dankingproductions.com.au. This episode is sponsored by Simple Separation, the smarter way to separate. Simple Separation is an online, fixed-fee service designed to help Australian couples finalise their divorce and separation respectfully, collaboratively, and without the stress of going to court. From property settlements and parenting plans to child support and divorce applications, everything you need is under one roof, saving you time, money, and unnecessary conflict. Book your free consultation today to find out if Simple Separation is right for your situation at simple-separation.com.au. Disclaimer I hope you enjoyed the podcast today. The information we discussed today was just that information only. It is not specific advice. If you take action following something you heard today, it is important to make sure you get professional advice about your unique situation before you proceed, whether that advice be legal, financial, accounting, medical or other advice. Please reach out to me if you have any questions or if there's another topic you'd like explored.

Plenty of people who loved seeing Anthony Kim's spectacular performance at LIV Adelaide, it was one of the all time great redemption stories. Gerard from Brisbane agreed, and had some comments on what he saw in the performance from AK, and he gave Bryson a drive by on the way through.Have a listen to Gerard's voicemail.We're live from Titleist and FootJoy HQ thanks to our great partners:BMW, luxury and comfort for the 19th hole;Titleist, the #1 ball in golf;FootJoy, the #1 shoe and glove in golf;PING will help you play your best;Golf Clearance Outlet, they beat everyone's prices;Betr, the fastest and easiest betting app in Australia;And watchMynumbers and Southern Golf Club. Hosted on Acast. See acast.com/privacy for more information.

What Now Irishman Presents: Gerard Banks.   We have icons and heroes in our history that are not spoken enough about - link below to buy the book. https://amazon.co.uk/Principles-Freedom-Terence-MacSwiney-ebook/dp/B085FW1P8R We also have tribal allies all across the globe who share in our natural right to national and individual sovereignty.   A lot is discussed in which I hope will be a series of conversations in the future. Thank you Mr. Gerard Banks for the time and knowledge.  Hosted by Martin Murphy. Produced by Gael Force Media

Gerard Bessiere. „Plunksna“. Skaito aktorė Dalia Michelevičiūtė.

Grote ogen kijken je onbevangen aan. Een klein kind gekleed in het wit met een rode bloem in haar hand verovert in haar eentje de harten van veel bezoekers. Wat weten we over dit kind dat Gerard ter Borch schilderde? Wie waren haar ouders en hoe was het om op te groeien in de 17de eeuw? En wat is een valhoedje? 

Clean Energy equities have comfortably outperformed the major indices in 2025.  Laurent and Gerard are joined by friend of the show Shanu Mathew, an equity portfolio manager everyone in the sector knows to unpack what's really driving this performance.  We begin by putting recent returns into a longer-term context — and by flagging an important caveat: some of the strongest results are coming from highly concentrated portfolios.  Shanu makes a critical distinction that often gets blurred in market commentary: equipment providers versus sellers of electrons. On one side sit companies like GE Vernova, Siemens Energy, Schneider Electric, Caterpillar — and the surprise guest, Bloom Energy. On the other are utilities and IPPs. The divergence is striking. Equipment manufacturers have gone ballistic; utilities have performed, but at a far more pedestrian pace.  The difference, unsurprisingly, is pricing power. Equipment suppliers — particularly those insulated from Chinese competition — have been able to push through aggressive price increases, turbocharged by surging demand from Hyperscalers. Utilities, by contrast, remain constrained by regulation, public scrutiny, and political pressure.  The result? Hyperscalers are increasingly looking to self-generation: reciprocating engines, fuel cells, and a growing enthusiasm for frontier technologies such as Enhanced Geothermal and Small Modular Reactors.  We walk through these alternatives, examine how public markets are valuing them today, and end where every cycle eventually leads us: Are we in a bubble? Or, as Chuck Prince, then CEO of Citigroup, famously put it on the eve of the 2008 financial crisis:“As long as the music is playing, you've got to get up and dance.”

Haitink Conducts Mahler 2 by CSO Association

Gerard Bessiere. „Plunksna“. Skaito aktorė Dalia Michelevičiūtė.

Na een hele week aan voorrondes en halve finales is het vanavond dan echt zo ver: de grote finale van het Leids Cabaret Festival! Zoals elk jaar zijn we afgereisd naar Leiden om eens te kijken wat voor vlees er in de cabaret kuip zit.  Dit jaar zijn dat de finalisten Alina Sharipova, Levy Geernaert en Meeuw Roovers! Verder:  * Bepalen social media nu ook al wat grappig is? * Eeuwige liefde bestaat! Dat bewijzen Johan en Gerard al meer dan 60 jaar. * Wist je dat je een pad kunt melken?  * En zeker op het Leids cabaretfestival kunnen onze cabaretiers: Kiki Schippers, Vera van Zelm, Ruud Smulders, Aron Elstak en Owen Schumacher - niet ontbreken! Presentatie: Dolf Jansen & Willemijn Veenhoven Column: Teun van den Elzen Livemuziek: Shary-An

In today's episode, I'm joined by Gerard Scarpaci, co-founder of Hairbrained and host of the Hairbrained Conversations podcast. We talk about the big shifts happening in hairdressing right now, how the next generation learns differently, and why the old business models have been turned on their head. Gerard shares what excites him most about the industry today, but he's also refreshingly honest about the risks, particularly around lack of direction, mentorship, and the pressure many hairdressers are carrying without even realising it.We also dig into job satisfaction, education, live events, the changing relationship between salons and manufacturers, and why content creation is becoming one of the biggest opportunities for young hairdressers today. This is a wide-ranging, honest conversation about what it really takes to build a sustainable, fulfilling career in today's salon business.IN THIS EPISODE:[00:00] Welcome and Introducing Gerard Scarpaci [01:48] What excites Gerard about the industry today[05:00] The concerns and risks of increased independence[09:00] The Hairbrained Confidence Index explained[12:36] Why industry data is emotional, not scientific[16:26] What successful salons are doing differently[17:56] Job satisfaction, pressure, and performance[23:08] Learning, relevance, and modern education challenges[29:36] Fundamentals vs "timely and relevant" learning[32:32] The changing relationship between brands and salons[37:00] Online education, live events, and what's working now[44:28] Opportunities for the next generation of hairdressers[48:00] Where to connect with Gerard and closing thoughtsWant MORE to help you GROW?

RIP Gil Gerard. A New York cab, a day job in drama class, and a shot at the 25th century: that's the unlikely runway that launched Gil Gerard into Buck Rogers, and it still glows with neon charm. We open the vault on Gerard's early grind through commercials, soaps, and 70s disaster flicks, then follow the thread back to Buck's pulp origins in newspapers, radio waves, and the 1939 serials that taught America to love ray guns, zeppelins, and cliffhangers. It's a fast, affectionate tour of the DNA that links John Carter's planetary romance, Flash Gordon's space opera, and Lucas-era spectacle, all converging in a TV series that dared to mix swagger with sincere camp.

SERIALpodcastNINE is back with another must-listen episode and this time, we're taking it international. In this episode, Gerard, Kevin, and Ryan dive into their recent trips to Japan, sharing stories straight from the source of car culture itself. From late night street sightings and legendary tuning shops to everyday travel tips and unexpected moments, the crew breaks down what makes Japan such a dream destination for car enthusiasts and regular travelers alike. Whether you're planning your first Japan trip, looking for insider advice on visiting iconic automotive spots, or just want to hear some unfiltered stories from the road, this episode is packed with laughs, real-world tips, and that classic SERIALNINE energy. JDM culture, travel hacks, drift inspiration, and plenty of chaos it's all here. Buckle up and come along for the ride. For Questions or Comments please visit www.serialnine.com

Solti Conducts Beethoven and Liszt by CSO Association

Ryan Gerard joins Smylie Kaufman and Charlie Hulme on The Smylie Show for a conversation covering everything from finding Mauritius on a map so he could earn a Masters invite, to his lack of a dining room table

In this episode, Gerard Widder: From Long Island to Luxury — Leadership, Legacy & Living with Intention, I sit down... The post Gerard Widder: From Long Island to Luxury — Leadership, Legacy & Living with Intention appeared first on WebTalkRadio.net.

Resilience is the buzzword of the moment—from Gerard's personal resilience on display in Davos last week to the critical issue of grid resilience.  The great Doug Houseman draws a useful distinction between reliability and resilience. “Reliability is about how well you keep the lights on, while resilience is about how quickly you can restore power after an outage.”  Over the past year, blackouts caused by extreme weather, human error, and physical attacks have exposed an uncomfortable truth: electricity is no longer invisible background infrastructure. It is the backbone of modern society, and when it fails, everything else quickly follows.  To explore these challenges, Laurent and Gerard sit down with Ronny Fiuren, one of the Nordics' sharpest thinkers on energy. Ronny is the Founder of Mylicia Energy, an executive board member, and a strategic business developer with deep expertise in power markets, energy flexibility, and grid-oriented solutions.  Together, they discuss why resilience has evolved from a technical afterthought into a strategic priority, and what recent events across Europe and North America are really telling us about the condition of our power grids.  The conversation examines how decentralisation, flexibility, and the use of advanced technologies and AI matter more than ever. It also highlights the need for a shift in mindset, not only among grid operators but also regulators.  They explore the value of interconnectors in strengthening power systems, while also unpacking their political dimensions and the strong public emotions that can emerge when electricity prices rise suddenly.  Beyond weather-related disruptions and cyber threats, the discussion turns to new risks such as deliberate sabotage and how energy systems can be designed to cope with them.  From Scandinavia to the rest of Europe, this is a timely conversation about how to build power systems capable of withstanding shocks in an increasingly electrified and digital world.----Read Ember Europe Electricity Review  https://ember-energy.org/latest-insights/european-electricity-review-2026/

Why do some recruitment agencies collapse during recessions while others keep growing? Gerard Koolen has watched his business expand through three major crises: the 2008 financial collapse, COVID-19, and the war in Ukraine. Each time, Lugera grew. Not by working harder, but by building the business differently. Gerard is the founder of Lugera, a recruitment agency with 11 offices, over 500 employees, and €243 million in annual revenue. Operating across a region tested by economic downturns and geopolitical instability, his firm has been forced to adapt repeatedly. Instead of relying on a single revenue stream, Gerard built what he calls an “all-seasons service portfolio.” Over time, Lugera developed eight distinct revenue streams. When permanent hiring slowed, outplacement surged. When clients froze recruitment, other services stepped in. One stream compensated for another, keeping the business resilient when markets turned. That approach created a new problem. Managing eight revenue streams manually nearly broke the company. Gerard invested 10 years and €2.2 million in building technology to automate work that once required a team of 30 people. Today, one part-time employee handles what used to take an entire department. In this episode, Gerard breaks down how the model works. He explains how to monetise the 99% of candidates most agencies never place, why traditional ATS systems quietly limit growth, and how outplacement can become a counter-cyclical revenue stream. If you want to build a recruitment business that grows through uncertainty instead of being crushed by it, this conversation will change how you think about revenue, technology, and resilience. What you'll learn: Why Lugera grew 20% during the 2008 recession What an “all-seasons service portfolio” looks like in practice Why most agencies monetise only 0.2% of their candidate database How eight revenue streams reduce risk and smooth volatility Why your ATS may be capping your growth without you realising How automation replaced 30 staff with one part-time role Why does outplacement generate revenue when hiring stops Episode highlights: [03:30] Growing during the 2008 recession [05:53] The all-seasons service portfolio [08:01] Monetising the 99% of candidates you never place [14:34] The real cost of building the technology [19:42] Why most ATS platforms restrict growth [27:02] Doubling placements without doubling effort [31:33] Turning outplacement into a €1M revenue stream [45:25] Automated outreach that converts job ads into leads Sponsor This episode is brought to you by Recruiterflow. Recruiterflow is an AI-first ATS and CRM built to help recruitment businesses run and scale more efficiently. It combines ATS, CRM, sequencing, data enrichment, marketing automation, and AI agents in one platform. Many leaders in our coaching community rely on Recruiterflow to streamline operations and improve execution. Learn more or request a demo at recruitmentcoach.com/recruiterflow Guest Bio Gerard Koolen is the founder of Lugera, a recruitment and staffing agency with 11 offices across Eastern Europe, over 500 employees, and €243 million in annual revenue. After investing 10 years and €2.2 million developing proprietary AI matching technology, Gerard created the Recruitment Revenue Platform to help recruitment agencies build multiple revenue streams beyond traditional placement fees. This is Gerard's third appearance on The Resilient Recruiter. Connect with Gerard LinkedIn: Gerard Koolen Website: lugera.com Recruitment Revenue Platform: recruitmentrevenueplatform.com Special offer: Get 100 free credits plus personal onboarding at recruitmentcoach.com/staa Connect with Mark Free strategy session: recruitmentcoach.com/strategy-session LinkedIn: Mark Whitby Instagram: @RecruitmentCoach Subscribe to The Resilient Recruiter