Podcasts about benchmarks

Tourism benchmarks fall in South Dakota in 2025 & Clay County Fair begins.

Send us a textIn this episode of The Empowered Educator Show, Dr. Mel breaks down how school leaders can use beginning-of-year benchmark assessments as more than just numbers on a spreadsheet. Instead of feeling overwhelmed by data, you'll learn how to turn it into a clear roadmap for instructional decisions.From spotting trends and setting growth targets to leading meaningful data conversations with staff, Dr. Mel shares practical steps to move from analysis to action. You'll also hear common pitfalls to avoid—like focusing only on deficits or overloading teachers—and strategies to build confidence and clarity around data use.What You'll Learn in This Episode:Why benchmark data matters for setting the tone of the school yearHow to disaggregate and interpret data to reveal strengths and needsWays to connect data to RTI/MTSS, instructional planning, and PDHow to lead data conversations that inspire action instead of anxietySimple next steps to help your team implement quick winsWhether you're a new principal, an aspiring leader, or a seasoned educator, this episode will help you use data to drive growth and empower your staff with focus and direction.Download Upside and use my code MELINDA35278 to get 15¢ per gallon extra cash back on your first gas fill-up and 10% extra cash on your first food purchase! Download Fetch app using this link, submit a receipt and we'll both score bonus points. Calling All Educators! I started a community with resources, courses, articles, networking, and more. I am looking for members to help me build it with the most valuable resources. I would really appreciate your input as a teacher, leader, administrator, or consultant. Join here: Empowered Educator Community Book: Educator to Entrepreneur: IGNITE Your Path to Freelance SuccessGrab a complimentary POWER SessionWith Rubi.ai, you'll experience cutting-edge technology, research-driven insights, and efficient content delivery.email: melinda@empowere...

Most of us assume our 401k plans are free because we never see a bill. But hidden fees—record keeping, custodial, administration, and advisory costs—can silently erode your retirement savings over time. In this episode, Dr. Disha Spath sits down with forensic 401k consultant Paul Sippel to uncover how these costs work, why they're so hard to detect, and practical steps you can take to protect your wealth. If you're a physician, business owner, or employee relying on your 401k for retirement, this conversation is a must-listen! Key Topics Covered: 1. The Hidden Price of 401K Why most employees (and even physicians) don't realize how much retirement fees are costing them 2. Decoding the Fee Structure Custodial, record keeping, administration and advisory charges explained by Paul 3. So Who Really Pays the Bill? How physicians often carry a bigger share of plan costs than their staff. 4. Defining a “reasonable” costs Benchmarks to know if your plan fees are fair or quietly draining your bank account. 5. Beware of the Transparency Trap Why statements rarely show the true expense and how the industry profits from the confusion 6. Proven Strategies to Lower the Fees From negotiating employer-level billing to exploring self-directed brokerage accounts. Listener Takeaways: If you've never seen a bill for your 401k, that doesn't mean it's free—the fees are just hidden. Even “small” percentages in fees can compound into massive retirement losses over time. Physicians are often subsidizing their staff's 401k costs without realizing it. Shifting fees to the employer level creates more fairness and bigger savings potential. You have the tools to uncover and reduce your 401k fees—knowledge equals real money saved. Resources Mentioned: Chatgpt Department of Labor's www.efast.dol.gov  FreeERISA   Connect with Us: Host: Dr. Disha Spath, The Frugal Physician Guest: Paul Sippel, 401k Forensic Consultant 

Albert Azout is the Co-founder and Managing Partner of Level Ventures, combining first-principles thinking with state-of-the-art data science to back and build top seed-stage firms and their breakout companies.Venture investing is hard, and this conversation covers all their research unpacking exactly how to generate alpha.We also talk about how Level picks and backs emerging venture managers to invest in, and Albert gives a demo of the custom internal software they've built.Thank you to Jake Kupperman, Sasha Kaletsky, Nathan Benaich, Amanda Robson, and Dave Fontenot for helping brainstorm topics for the conversation. Special thanks to Ramp for supporting this episode. It's the corporate card and expense management platform used by over 40,000 companies, like Shopify, CBRE and Stripe. Time is money. Save both with Ramp. Get $250 for signing-up here: https://ramp.com/ThePeelTry Hanover Park - the modern, AI-native fund admin https://www.hanoverpark.com/TurnerTimestamps:(5:01) Top 3 forms of alpha in VC(10:11) Other ways to generate alpha(12:47) Avoiding false positives(17:11) Optimal fund size and portfolio construction(22:25) The role of Luck(23:55) Spin-out vs outsider funds(25:43) Level's backchannel reference process(29:29) Finding alpha in Criticality Investing(34:45) Why capital flows drive all returns(43:53) Early, consensus investing has the most alpha(48:46) Networks are more persistent than performance(52:03) The strongest and weakest networks(58:41) Demo of Level's internal software(1:04:48) Building a Fund of Funds around their data(1:10:01) Ideal LP GP relationship(1:12:39) Benchmarks are relative(1:15:39) VC funds using AI(1:17:43) How venture will change in the next 10 yearsReferencedLevel Ventures: https://levelvc.com/Level's Research Papers: https://levelvc.com/research/Follow AlbertLinkedIn: https://www.linkedin.com/in/albertazout/Newsletter: https://albertazout.substack.com/ Follow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

The SaaS Magic Number is one of the most Googled SaaS metric posts — but it's also one of the most misunderstood. In episode #310, Ben Murray explains what the SaaS Magic Number really measures, why investors care about it, and the benchmarks you should use to evaluate your own business model. From the formula (revenue growth vs. sales & marketing spend) to the nuances (why churn and expansion impact the metric), Ben shows SaaS operators how to avoid common pitfalls. You'll also hear the latest benchmark data from Ray Rike at Benchmarkit.ai, giving you investor-ready context for your next fundraising or valuation conversation. What You'll Learn: What the SaaS Magic Number is and how to calculate it. Why it's more than just a sales and marketing efficiency metric. The nuance: contraction, churn, and customer success also affect the number. Why ARR size and ACV segmentation are critical for accurate benchmarking. When the metric is most useful (short sales cycles, PLG) vs. when to be cautious (enterprise sales cycles). Why It Matters for SaaS Operators & Investors: The Magic Number is a widely used investor metric to gauge efficiency. Clean reporting builds confidence with investors and supports higher company valuations. Benchmarks by ARR and ACV provide a realistic picture of growth efficiency. Using the wrong interpretation can lead to bad decisions in finance strategy and fundraising. Resources Mentioned: Blog Post: https://www.thesaascfo.com/calculate-saas-magic-number/ Five-Pillar SaaS Metrics Framework: https://www.thesaasacademy.com/the-saas-metrics-foundation

Zuletzt erst über die europäische Paypal-Alternative Wero gesprochen, da wird es schon wieder relevant. Bei Paypal ist ein System zur Betrugsverhinderung ausgefallen, was wiederum die Systeme bei deutschen Banken anspringen ließ. Das Ergebnis: Die Banken blockierten alle Lastschriften, die von Paypal ausgingen und führte damit zu viel Ärger für Verkäufer und Kunden. Kaum vorgestellt, schon im Handel und auch in den Tests: die neuen Pixel von Google! Wir schauen uns die Benchmarks an und vor allem die Fotos, die man damit schießen kann. Framework hat einen Lauf und erneuert nun auch den Laptop 16: Es gibt nicht nur die neuesten AMD Ryzen AI 300, sondern auch ein neues Display, eine neue Kamera, neues Ladegerät und ein neues optionales Grafikmodul mit Nvidia RTX 5070 in der Laptopversion. Wie immer finden wir die Geräte echt reizvoll, nur den Preis gar nicht so sehr. Mo hat es sich diesmal richtig dreckig gegeben und den Film "The Beekeeper" mit Jason Statham angesehen. Meine Güte klingt der Film dämlich. Viel Spaß mit Folge 271! Sprecher:innen: Michael Kister, Mohammed Ali DadAudioproduktion: Michael KisterVideoproduktion: Mohammed Ali Dad, Michael KisterTitelbild: Mohammed Ali DadBildquellen: Pixabay/PayPalAufnahmedatum: 29.08.2025 Besucht unsim Discord https://discord.gg/SneNarVCBMauf Bluesky https://bsky.app/profile/technikquatsch.deauf TikTok https://www.tiktok.com/@technikquatschauf Youtube https://www.youtube.com/@technikquatschauf Instagram https://www.instagram.com/technikquatschauf Twitch https://www.twitch.tv/technikquatsch RSS-Feed https://technikquatsch.de/feed/podcast/Spotify https://open.spotify.com/show/62ZVb7ZvmdtXqqNmnZLF5uApple Podcasts https://podcasts.apple.com/de/podcast/technikquatsch/id1510030975 00:00:00 Herzlich willkommen zu Technikquatsch Folge 271! 00:08:22 Wir haben die europäische Paypal-Alternative Wero in unseren Banking-Apps aktiviert, bisher nur zwischen Privatmenschen nutzbar, online hoffentlich baldhttps://wero-wallet.eu/de 00:10:48 Paypal verkackt Antibetrugsmaßnahmen, Banken blockieren Lastschriftenhttps://www.heise.de/news/Paypal-Zahlungsblockaden-wirken-nach-10625304.html 00:19:26 Pixel 10 und 10 Pro (XL) Reviews: Benchmarks, KI und Kamerahttps://www.computerbase.de/artikel/smartphones/google-pixel-10-pro-xl-test.93971/https://www.computerbase.de/artikel/smartphones/leser-blindtest-2025-beste-smartphone-kamera.93836/ 00:36:04 Sommer zuende, Klimawandel, E-Autos und der Aiwanger sagt was Sinnvolleshttps://www.br.de/nachrichten/bayern/aiwanger-zu-alzenau-windpark-irgendwo-muss-strom-herkommen,UsW4IgEhttps://vm.tiktok.com/ZNd95gq8o/ 00:47:10 Framework Laptop 16: Upgrade mit AMD Ryzen AI 300 und Grafikmodul Nvidia RTX 5070 mobilehttps://frame.work/de/en/laptop16Introducing the new Framework Laptop 16 with NVIDIA® GeForce RTX™ 5070 https://www.youtube.com/watch?v=OZRG7Og61mwhttps://www.computerbase.de/news/notebooks/framework-laptop-16-2-generation-setzt-auf-amd-ryzen-ai-300-und-rtx-5070.94078/ 00:56:52 Modularität, Langlebigkeit, Reparierbarkeit sind teuer 01:11:25 Sapphire bringt Einsteiger-Mainboards für AM5 und sogar AM4 auf den Markthttps://www.computerbase.de/news/mainboards/sapphire-amd-mainboards-sind-in-deutschland-angekommen.94103/ 01:16:56 Mo hat The Beekeeper mit Jason Statham angesehenhttps://www.imdb.com/title/tt15314262/ 01:30:52 Vielen Dank fürs Zuhören!

Benchmarks for Christians | What Demonstrates True Christianity (John 13) What are the true marks of a Christian? In John 13, Jesus shows that real discipleship is not about power or pride but about humility, faith, and love. Key takeaway: The benchmarks of true Christianity are humility, faith, and love—defined by Jesus himself. Today we'll talk about how we can distinguish between true humility and toxic versions of it? If you're searching for what defines authentic Christianity, this message will help you reflect and grow in your walk with Christ.

Dr. Michael Timothy Bennett is a computer scientist who's deeply interested in understanding artificial intelligence, consciousness, and what it means to be alive. He's known for his provocative paper "What the F*** is Artificial Intelligence" which challenges conventional thinking about AI and intelligence.**SPONSOR MESSAGES***Prolific: Quality data. From real people. For faster breakthroughs.https://prolific.com/mlst?utm_campaign=98404559-MLST&utm_source=youtube&utm_medium=podcast&utm_content=mb***Michael takes us on a journey through some of the biggest questions in AI and consciousness. He starts by exploring what intelligence actually is - settling on the idea that it's about "adaptation with limited resources" (a definition from researcher Pei Wang that he particularly likes).The discussion ranges from technical AI concepts to philosophical questions about consciousness, with Michael offering fresh perspectives that challenge Silicon Valley's "just scale it up" approach to AI. He argues that true intelligence isn't just about having more parameters or data - it's about being able to adapt efficiently, like biological systems do.TOC:1. Introduction & Paper Overview [00:01:34]2. Definitions of Intelligence [00:02:54]3. Formal Models (AIXI, Active Inference) [00:07:06]4. Causality, Abstraction & Embodiment [00:10:45]5. Computational Dualism & Mortal Computation [00:25:51]6. Modern AI, AGI Progress & Benchmarks [00:31:30]7. Hybrid AI Approaches [00:35:00]8. Consciousness & The Hard Problem [00:39:35]9. The Diverse Intelligences Summer Institute (DISI) [00:53:20]10. Living Systems & Self-Organization [00:54:17]11. Closing Thoughts [01:04:24]Michaels socials:https://michaeltimothybennett.com/https://x.com/MiTiBennettTranscript:https://app.rescript.info/public/share/4jSKbcM77Sf6Zn-Ms4hda7C4krRrMcQt0qwYqiqPTPIReferences:Bennett, M.T. "What the F*** is Artificial Intelligence"https://arxiv.org/abs/2503.23923Bennett, M.T. "Are Biological Systems More Intelligent Than Artificial Intelligence?" https://arxiv.org/abs/2405.02325Bennett, M.T. PhD Thesis "How To Build Conscious Machines"https://osf.io/preprints/thesiscommons/wehmg_v1Legg, S. & Hutter, M. (2007). "Universal Intelligence: A Definition of Machine Intelligence"Wang, P. "Defining Artificial Intelligence" - on non-axiomatic reasoning systems (NARS)Chollet, F. (2019). "On the Measure of Intelligence" - introduces the ARC benchmark and developer-aware generalizationHutter, M. (2005). "Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability"Chalmers, D. "The Hard Problem of Consciousness"Descartes, R. - Cartesian dualism and the pineal gland theory (historical context)Friston, K. - Free Energy Principle and Active Inference frameworkLevin, M. - Work on collective intelligence, cancer as information isolation, and "mind blindness"Hinton, G. (2022). "The Forward-Forward Algorithm" - introduces mortal computation conceptAlexander Ororbia & Friston - Formal treatment of mortal computationSutton, R. "The Bitter Lesson" - on search and learning in AIPearl, J. "The Book of Why" - causal inference and reasoningAlternative AGI ApproachesWang, P. - NARS (Non-Axiomatic Reasoning System)Goertzel, B. - Hyperon system and modular AGI architecturesBenchmarks & EvaluationHendrycks, D. - Humanities Last Exam benchmark (mentioned re: saturation)Filmed at:Diverse Intelligences Summer Institute (DISI) https://disi.org/

Three US stocks are now as big as four entire sectors. That's not hyperbole, it's the reality of today's market. NVIDIA, Microsoft and Apple together make up more than one-fifth of the S&P 500. To put that in perspective, it's more than the combined weight of the four traditional defensive sectors of the market - healthcare, consumer staples, utilities and real estate. What does this mean for investors, and should it concern us?

«A lot of things break with scale.»In our latest conversation with Mikkel Dengsøe, co-founder of SYNQ and former Head of Data, Ops and Financial Crimes at Monzo Bank, we explore the secrets behind effective scaling of data teams.Mikkel reveals surprising statistics based on his analysis of over 10,000 LinkedIn data points and valuable insights from Monzo's scaling journey, where the data team grew from 30 to over 100 people in just two years.We discuss the critical balance between central data teams and domain experts, the importance of career paths for individual contributors (not just managers), and how data professionals can succeed by building relationships with stakeholders who involve them early in strategic processes.Here are our key takeaways: Data TeamsThere are some high-level questions you need to ask yourself when building, structuring or scaling a new data teamThis includes how big the team should be, also relatively too your organizations size and other teams, how it should be composed and structured, etc.A good idea is to collect data to create a benchmark.Benchmarks can be hard to combine and are a moving target, but they are nevertheless valueable. Most importantly, you need to ask yourself: WHY do we need to scale our data team?Involve people actively in setting the goals based on your WHY.Mikkel collected over 10.000 data points from companies on Linkedin. Here's what he found: Median % of data people in companies out of overall staff is 1-4%.Data team relative to engineering team varies between 1 data person per 10 engineers to 1 in 3.From the benchmark it is evident that data governance roles only appear in lager companies.In marketplace companies the effect of data on the business value is easiest to track. Therefore they seem more willing to invest In data teams.Investment in data means investment in your business. The consequences of not investing in data will be tangible in your business.Find a risk based approach to data as well. At what level can you balance investment, outcome and risk?Be cautious of «pseudo-data teams» - teams in a Business unit that do kind-of data work, but are not aligned with the organization.Be clear on the skills and competencies you need. What is a data analyst? What does a data scientist do in your organization?It is important to have a clear and consistent internal career ladder. Make it visible and understandable what is expected from each role on your team and don't change these expectations too often.Create pulse checks to understand what people are happy about and what not.Scaling Data Teams«Golden Nugget Awards» to showcase good data work every month. These were added to a database, so every new employee could evaluate them to see what good looks like.Write down your progression framework to get clear about your ideas and how people excel in your organization.You can show open what work lead to promotions. That can be engaging for people to follow in these tracks.Hub-n-Spoke model, where people rotate in and out of the central team and the distributed teams.Citizen developer programs are a way for larger organizations to scale data work. But It bears risk related to data literacy.Don't try to enable everyone, but enable those that are motivated.«You shouldn't necessarily force people into management to progress.»Senior technical careers can ensure an advanced level of quality. Which is a different way of scaling your data team.You need a career ladder for professionals that is independent from management careers.Create rituals that make good work stand out.

In dieser Samstagsfolge von „Alles auf Aktien“ mit 2 Profis. Zwei Experten, die auf ihrem Gebiet absolute Spezialisten sind – und zusammen einen Aktienfonds erschaffen haben, der selbst die besten Benchmarks schlägt. Der eine kennt die Blockchain wie kein anderer – und vor allem kann er sie soooo gut erklären. Der andere ist ein Finanzprofi, der weiß, wie man die Megathemen Tech, KI und Krypto perfekt vereint. Unsere Gäste liefern heute die ultimative Ethereum-Erklärung, ihre Meinung zu den Minern und den Grund, warum wir Bitte zur KI sagen. Außerdem verraten sie das Geheimnis der 21, ihre deutschen KI-Favoriten und den unglaublich großen Vorsprung Amerikas. Ein Gespräch mit Edgar Heimbach und Christian Wieschnewski. Die Tickets zum Finance Summit am 17. September bekommt ihr 40 Euro günstiger – aber nur mit dem Code AAA2025, der ihr unter dem folgenden Link eingeben müsst: https://veranstaltung.businessinsider.de/BN5aLV Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Der Börsen-Podcast Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

This week on Service Drive Revolution, we're pulling back the curtain on what most will never see. Not theory. Not hype. But raw, real numbers that tell the story of who's actually winning in fixed ops—and who's pretending. Some are still stuck in the mindset that says, “That can't happen in my market.” Others are taking informed action and making their way to the green line of success - rewriting what's possible inside a single service drive. We're not just talking performance—we're showing you how leaders behave differently. What they pay attention to. What they no longer tolerate. How they've stopped making excuses and started producing undeniable results that punch through market limitations and dealership folklore. And yes—some of the numbers you'll hear will sound impossible. Until you realize… someone's already doing it. What we're going to ask fundamentally is: What do you believe about your team, your market, your potential—and is it helping you, or is it holding you hostage? We're going deep on what SPOP really represents in the DNA of a team. We're unpacking the shift from “we can't” to “we already did.” Plus, in classic SDR style—we'll take a detour through jet skis, AI agendas, and maybe a few uncomfortable truths about recall math and legacy thinking. If you want to laugh, learn, and maybe have your entire standard of performance shattered—this one's for you. #servicedriverevolution #fixedops #servicemanager #serviceadvisor #servicedriverevolution #podcast #auto #autoindustry #ford #autoindustrynews OnDemand Training For Huge Results: https://chriscollinsinc.com/op/ondemand-sales-page/ Schedule a 15-minute intro call with our team to find out how Chris Collins Signature Coaching can change your entire iutlook and get you on the green line of success. https://calendly.com/cci-schedule/15-minute-discovery-call Got a question? Call us at 1-833-3-ASK-SDR

Episode Notes In the second episode of TXL featuring Deloitte, we're joined by Brandon Kennedy, Senior Manager Human Capital, Deloitte Consulting LLP, to break down the top findings from Phenom's State of Candidate Experience: 2025 Benchmarks report — and where they align with what he's hearing from clients on the ground.  With clear gaps in hiring speed, personalization, and communication between organizations and job seekers, many are struggling to provide experiences that meet candidates' heightened expectations. We'll dig into which friction points continue to cost employers top talent, how automation and AI are closing gaps, and whether leaders' top priorities really match up with what the candidate journey demands today. Expect a candid look at why a modern, data-driven candidate experience is no longer optional — and practical insights on how to start closing the expectation gap before your best candidates walk away.

Hey everyone, Alex here

In this episode, Anna Rose and Nico Mohnblatt catch up with Justin Drake from the Ethereum Foundation to explore Ethproofs, asking what exactly is Ethproofs: is it a meme, a platform, a benchmarking effort and/or an emerging community? Justin shares the emergence of the project within the EF, the influences that shaped it and what Ethproofs comprises of today. He also shares the goals of the project and how this initiative supports the snarkification of the EVM by providing standardized benchmarks for the growing ecosystem of zkVMs. Their discussion covers the evolution from monolithic zkEVM approaches to RISC-V-based systems, and movement towards mandatory proofs and eventual zkVM enshrinement. Related links: Episode 369: Ligero for Memory-Efficient ZK with Muthu Episode 321: STIR with Gal Arnon & Giacomo Fenzi Episode 258: Ultrasound Money & VRFs with Justin Drake Episode 120: ZKPs in Ethereum with Vitalik Buterin & Justin Drake Episode 74: Blockchain 101: Randomness and Random Beacons with Justin Drake ZK11: SNARK proving ASICs - Justin Drake L2BEAT Picus  Announcing Protocol Check out the latest jobs in ZK at the ZK Podcast Jobs Board.  **If you like what we do:** * Find all our links here! @ZeroKnowledge | Linktree * Subscribe to our podcast newsletter * Follow us on Twitter @zeroknowledgefm * Join us on

Your funnel metrics are probably wrong. Not slightly off, but completely wrong. You're using Google Analytics for everything, your visitor counts include people logging into existing accounts, and you have no idea what your real conversion rates look like. In this segment from our data workshop, Claudiu from Inner Trends walks through the technical infrastructure needed to track each stage of your go-to-market funnel correctly - from accurate visitor counts to defining trackable events for your first strike moment. Key Highlights: 01:32: Why most teams don't own activation (and who should) 04:47: The 3 stages of visitor tracking - from Google Analytics to first-party data 08:09: Why your product database beats all third-party tools for signup tracking 09:14: The minimum requirements rule for setup completion 12:37: How to technically define your first strike event 17:46 Benchmarks every SaaS company should track Stop guessing at your data setup. Use this technical framework to build accurate tracking that actually reveals where your funnel breaks down. Resources:

The Bench Marks Foundation has expressed concern at the number of mining companies operating in South Africa, that continue to fail in providing housing for their employees and local communities as required by law. According to research recently conducted by the foundation, many mines are surrounded by informal settlements where mineworkers and host communities live, due to the failure by the mining companies to meet their legal obligation. For more on this, we spoke to Bench Marks Foundation Lead Researcher, David Van Wyk

O novo modelo da xAI é realmente melhor que as outras LLMs do mercado? Neste episódio, nossos hosts analisam o Grok-4 da xAI, o modelo da empresa de Elon Musk que conquistou o topo dos benchmarks sendo treinado com 200 mil GPUs. Eles discutem os diferenciais técnicos, a polêmica estratégia de usar o X como fonte de dados, os preços competitivos da API e o que esperar do futuro Grok Code. Dê o play e ouça agora! Links importantes: Vagas disponíveis Newsletter Dúvidas? Nos mande pelo Linkedin Contato:  entrechaves@dtidigital.com.br O Entre Chaves é uma iniciativa da dti digital, uma empresa WPP

From A Big Four Firm to Entrepreneurship In this special episode of The Accountant's Flight Plan, Brannon sat down with Raffi Yousefian, a NY/DC-based CPA and entrepreneur, to discuss his journey to building a thriving tax practice. Raffi began his career at EY before launching his own firm in 2016, growing rapidly before making the bold decision in 2022 to niche down into three verticals. By 2023, he doubled down on his fastest-growing and most rewarding segment: restaurants. He dedicated his brand to that niche and sold off the rest with the help of Poe Group Advisors.Timestamps:00:37 – Intro of Raffi Yousefian his background from EY to launching his own firm and finding his niche04:00 – Why Raffi left public accounting to become an entrepreneur06:50 – Doing less to grow more: The power of niching11:45 – Selling off part of a firm: Risk vs. reward15:20 – Why focus builds deeper expertise and stronger advisory20:00 – Benchmarks, AI adoption, and automation in accounting27:33 – DJ life during tax season: A funny story31:48 – Book recommendation: Crossing the Chasm by Geoffrey Moore33:00 – Connect with Raffi via LinkedIn: https://www.linkedin.com/in/raffiyousefian/ 

131 | Du denkst, deine Reichweite ist zu niedrig? Deine Storyviews enttäuschen dich? Dann hör genau hin - denn diese Folge wird dein Verhältnis zu Instagram-Zahlen grundlegend verändern.Wir sprechen darüber:warum du aufhören solltest, dich mit Influencer:innen zu vergleichenwas wirklich „normal“ ist bei Reel-Views, Story-Reichweite & Co.welche zentrale Zahl du regelmäßig checken solltest - und welche dir völlig egal sein kannDu lernst:

Join us as we turn a slow news week into the podcast event of the decade.  Hackable smartphones, AOL dialup, Android tablets w/o Google, Microsoft more fully embraces GitHub, and even BioShock 4.  There so much more to enjoy within!Timestamps:00:00 Intro01:04 Patreon02:10 Food with Josh05:04 RX 9060 non-XT benchmarks (and VRAM discussion)12:53 Goodbye to X3D on AM414:17 AOL discontinues dialup (yes it was still going)15:30 Github to be folded into Microsoft18:01 The dream of a hackable smartphone21:48 The Murena Pixel tablet offers Android without Google26:11 A very different type of "hot coffee" mod28:55 Looking at Amazon GPU sales numbers32:14 Josh brings the latest Arm news36:08 (In)Security Corner1:05:14 Picks of the Week1:16:48 Outro ★ Support this podcast on Patreon ★

Send us a textShownotes can be found at https://www.profitwithlaw.com/494.Most law firm owners look successful on the outside—busy staff, a nice office, and a steady stream of clients. But behind the scenes, too many are secretly transferring money from personal savings just to cover payroll, running on fumes, and wondering why all their hard work isn't turning into real profit.If you're growing but constantly feel cash poor—or you simply want to take home more from what you earn—this episode is your wake-up call. I'm joined by Leah Miller of Firmly Profits, a former law firm administrator turned fractional CFO who's seen exactly where owners go wrong and how to fix it.Chapters:[00:00] Unlocking hidden profits: Why law firms miss out[04:37] The success illusion: Cash-poor owners & surface metrics[06:13] Leah Miller- owner of Firmly Profits[09:48] Paralegal to CFO: Leah Miller's financial journey[12:35] Top financial mistake law firm owners make[16:00] Budgeting made simple: Realistic goals for growth[19:21] Crushing revenue bottlenecks & inefficiencies[22:30] Sustainable growth: Boost revenue without extra marketing[28:48] Monthly financial review: Metrics every firm needs[30:21] Law firm profit margins: Benchmarks & improvement tipsResources mentioned:Book your FREE strategy session today!: profitwithlaw.com/strategysessionTake the Law Firm Growth Assessment and find out how you rate as a law firm owner! Check out our Profit with Law YouTube channel!Learn more about the Profit with Law Elite Coaching Program hereEpisode 484 - Your Growth Problem Isn't Marketing — It's the Sales Disconnect (with Margarita Eberline)Connect with Leah Miller: Website | LinkedInJoin our Facebook Community: https://www.facebook.com/groups/lawfirmgrowthsummit/To request a show topic, recommend a guest or ask a question for the show, please send an email to info@dreambuilderfinancial.com.Connect with Moshe on:Facebook - https://www.facebook.com/moshe.amselLinkedIn - https://www.linkedin.com/in/mosheamsel/

Input geben - Networking starten!Die Landschaft der KI-Sprachmodelle verändert sich rasant. Mit dem Release von GPT-5 stellen sich viele die Frage: Lohnt sich der Wechsel oder ist es nur Hype? Gemeinsam mit Hansueli, Innovationsexperte bei Alpine AI, beleuchten wir die Realität hinter den neuesten Entwicklungen im Bereich künstlicher Intelligenz.Wir erkunden, warum GPT-5 weniger einen technologischen Quantensprung darstellt, sondern vielmehr einen Fortschritt in Richtung Benutzerfreundlichkeit. Hansueli teilt seine Expertise darüber, wie unterschiedliche Modelle für verschiedene Aufgaben optimiert sind – von Geminis Stärken bei komplexen Planungen bis zu den Vorteilen von Anthropic-Modellen für Programmieraufgaben.Besonders wertvoll sind seine Einblicke zur praktischen Modellbewertung: Statt abstrakte Benchmarks zu vergleichen, sollten wir uns fragen, welches Modell uns in unseren spezifischen Anwendungsfällen effizienter macht. Wir diskutieren die Bedeutung von Kontextfenstern, die Vorteile der Kombination verschiedener Modelle und warum menschliches Feedback in Iterationsprozessen unerlässlich bleibt.Ein zentrales Thema unseres Gesprächs ist der Datenschutz. Während kommerzielle Anbieter Nutzerdaten zur Modellverbesserung sammeln – mit potenziellen Risiken für sensible Informationen – setzt Alpine AI mit SwissGPT auf Datenschutzkonformität. Wir erörtern praktische Strategien, wie Sie die Stärken verschiedener Systeme nutzen können, ohne Ihre Daten zu gefährden.Die KI-Revolution wird unser Leben zunehmend und oft unmerklich durchdringen. Umso wichtiger ist es, die Möglichkeiten und Grenzen dieser Technologien zu verstehen. Tauchen Sie mit uns ein in diese faszinierende Welt der künstlichen Intelligenz und gewinnen Sie wertvolle Erkenntnisse für Ihren persönlichen und beruflichen Umgang mit KI-Sprachmodellen. Support the showVielen Dank an unsere Starken Podcast-Partner: AlpineAI: AlpineAI ist ein innovatives Schweizer KI-Unternehmen, das sich auf sichere und datenschutzkonforme KI-Lösungen für Unternehmen spezialisiert hat. Ihr Hauptprodukt, SwissGPT, ist eine Schweizer Version von ChatGPT, die höchste Standards beim Daten- und Geheimnisschutz gewährleistet, indem alle Informationen in Schweizer Rechenzentren verarbeitet werden. AlpineAI versteht sich als Innovationskatalysator für die KI-Transformation und arbeitet daran, Unternehmen durch massgeschneiderte KI-Anwendungen und Integrationen in bestehende IT-Systeme effizienter und intelligenter zu machen. Als Medienpartner mit dabei CMM360. Und Mr. Vision: Rene Vogel bringt humanoide Robotik dorthin, wo Menschen sind – live, greifbar und faszinierend. Ob für Events, Innovationstage oder interne Formate: Das Erlebnis bleibt hängen, regt zum Nachdenken an und schafft echten Dialog über Technologie und Zukunft. Ihr wollt mehr Networking? Dann kommt in meine WhatsApp Gruppe zu aktuellen Trends und News rund um AI und Chatbots: https://chat.whatsapp.com/BilAa1OLfELKJwuyodKgkXWeitere Links:Sophie auf WhatsApp kontaktieren...

My fellow pro-growth/progress/abundance Up Wingers,Nuclear fission is a safe, powerful, and reliable means of generating nearly limitless clean energy to power the modern world. A few public safety scares and a lot of bad press over the half-century has greatly delayed our nuclear future. But with climate change and energy-hungry AI making daily headlines, the time — finally — for a nuclear renaissance seems to have arrived.Today on Faster, Please! — The Podcast, I talk with Dr. Tim Gregory about the safety and efficacy of modern nuclear power, as well as the ambitious energy goals we should set for our society.Gregory is a nuclear scientist at the UK National Nuclear Laboratory. He is also a popular science broadcaster on radio and TV, and an author. His most recent book, Going Nuclear: How Atomic Energy Will Save the World is out now.In This Episode* A false start for a nuclear future (1:29)* Motivators for a revival (7:20)* About nuclear waste . . . (12:41)* Not your mother's reactors (17:25)* Commercial fusion, coming soon . . . ? (23:06)Below is a lightly edited transcript of our conversation. A false start for a nuclear future (1:29)The truth is that radiation, we're living in it all the time, it's completely inescapable because we're all living in a sea of background radiation.Pethokoukis: Why do America, Europe, Japan not today get most of their power from nuclear fission, since that would've been a very reasonable prediction to make in 1965 or 1975, but it has not worked out that way? What's your best take on why it hasn't?Going back to the '50s and '60s, it looked like that was the world that we currently live in. It was all to play for, and there were a few reasons why that didn't happen, but the main two were Three Mile Island and Chernobyl. It's a startling statistic that the US built more nuclear reactors in the five years leading up to Three Mile Island than it has built since. And similarly on this side of the Atlantic, Europe built more nuclear reactors in the five years leading up to Chernobyl than it has built since, which is just astounding, especially given that nobody died in Three Mile Island and nobody was even exposed to anything beyond the background radiation as a result of that nuclear accident.Chernobyl, of course, was far more consequential and far more serious than Three Mile Island. 30-odd people died in the immediate aftermath, mostly people who were working at the power station and the first responders, famously the firefighters who were exposed to massive amounts of radiation, and probably a couple of hundred people died in the affected population from thyroid cancer. It was people who were children and adolescents at the time of the accident.So although every death from Chernobyl was a tragedy because it was avoidable, they're not in proportion to the mythic reputation of the night in question. It certainly wasn't reason to effectively end nuclear power expansion in Europe because of course we had to get that power from somewhere, and it mainly came from fossil fuels, which are not just a little bit more deadly than nuclear power, they're orders of magnitude more deadly than nuclear power. When you add up all of the deaths from nuclear power and compare those deaths to the amount of electricity that we harvest from nuclear power, it's actually as safe as wind and solar, whereas fossil fuels kill hundreds or thousands of times more people per unit of power. To answer your question, it's complicated and there are many answers, but the main two were Three Mile Island and Chernobyl.I wonder how things might have unfolded if those events hadn't happened or if society had responded proportionally to the actual damage. Three Mile Island and Chernobyl are portrayed in documentaries and on TV as far deadlier than they really were, and they still loom large in the public imagination in a really unhelpful way.You see it online, actually, quite a lot about the predicted death toll from Chernobyl, because, of course, there's no way of saying exactly which cases of cancer were caused by Chernobyl and which ones would've happened anyway. Sometimes you see estimates that are up in the tens of thousands, hundreds of thousands of deaths from Chernobyl. They are always based on a flawed scientific hypothesis called the linear no-threshold model that I go into in quite some detail in chapter eight of my book, which is all about the human health effects of exposure to radiation. This model is very contested in the literature. It's one of the most controversial areas of medical science, actually, the effects of radiation on the human body, and all of these massive numbers you see of the death toll from Chernobyl, they're all based on this really kind of clunky, flawed, contentious hypothesis. My reading of the literature is that there's very, very little physical evidence to support this particular hypothesis, but people take it and run. I don't know if it would be too far to accuse people of pushing a certain idea of Chernobyl, but it almost certainly vastly, vastly overestimates the effects.I think a large part of the reason of why this had such a massive impact on the public and politicians is this lingering sense of radiophobia that completely blight society. We've all seen it in the movies, in TV shows, even in music and computer games — radiation is constantly used as a tool to invoke fear and mistrust. It's this invisible, centerless, silent specter that's kind of there in the background: It means birth defects, it means cancers, it means ill health. We've all kind of grown up in this culture where the motif of radiation is bad news, it's dangerous, and that inevitably gets tied to people's sense of nuclear power. So when you get something like Three Mile Island, society's imagination and its preconceptions of radiation, it's just like a dry haystack waiting for a flint spark to land on it, and up it goes in flames and people's imaginations run away with them.The truth is that radiation, we're living in it all the time, it's completely inescapable because we're all living in a sea of background radiation. There's this amazing statistic that if you live within a couple of miles of a nuclear power station, the extra amount of radiation you're exposed to annually is about the same as eating a banana. Bananas are slightly radioactive because of the slight amount of potassium-40 that they naturally contain. Even in the wake of these nuclear accidents like Chernobyl, and more recently Fukushima, the amount of radiation that the public was exposed to barely registers and, in fact, is less than the background radiation in lots of places on the earth.Motivators for a revival (7:20)We have no idea what emerging technologies are on the horizon that will also require massive amounts of power, and that's exactly where nuclear can shine.You just suddenly reminded me of a story of when I was in college in the late 1980s, taking a class on the nuclear fuel cycle. You know it was an easy class because there was an ampersand in it. “Nuclear fuel cycle” would've been difficult. “Nuclear fuel cycle & the environment,” you knew it was not a difficult class.The man who taught it was a nuclear scientist and, at one point, he said that he would have no problem having a nuclear reactor in his backyard. This was post-Three Mile Island, post-Chernobyl, and the reaction among the students — they were just astounded that he would be willing to have this unbelievably dangerous facility in his backyard.We have this fear of nuclear power, and there's sort of an economic component, but now we're seeing what appears to be a nuclear renaissance. I don't think it's driven by fear of climate change, I think it's driven A) by fear that if you are afraid of climate change, just solar and wind aren't going to get you to where you want to be; and then B) we seem like we're going to need a lot of clean energy for all these AI data centers. So it really does seem to be a perfect storm after a half-century.And who knows what next. When I started writing Going Nuclear, the AI story hadn't broken yet, and so all of the electricity projections for our future demand, which, they range from doubling to tripling, we're going to need a lot of carbon-free electricity if we've got any hope of electrifying society whilst getting rid of fossil fuels. All of those estimates were underestimates because nobody saw AI coming.It's been very, very interesting just in the last six, 12 months seeing Big Tech in North America moving first on this. Google, Microsoft, Amazon, and Meta have all either invested or actually placed orders for small modular reactors specifically to power their AI data centers. In some ways, they've kind of led the charge on this. They've moved faster than most nation states, although it is encouraging, actually, here in the UK, just a couple of weeks ago, the government announced that our new nuclear power station is definitely going ahead down in Sizewell in Suffolk in the south of England. That's a 3.2 gigawatt nuclear reactor, it's absolutely massive. But it's been really, really encouraging to see Big Tech in the private sector in North America take the situation into their own hands. If anyone's real about electricity demands and how reliable you need it, it's Big Tech with these data centers.I always think, go back five, 10 years, talk of AI was only on the niche subreddits and techie podcasts where people were talking about it. It broke into the mainstream all of a sudden. Who knows what is going to happen in the next five or 10 years. We have no idea what emerging technologies are on the horizon that will also require massive amounts of power, and that's exactly where nuclear can shine.In the US, at least, I don't think decarbonization alone is enough to win broad support for nuclear, since a big chunk of the country doesn't think we actually need to do that. But I think that pairing it with the promise of rapid AI-driven economic growth creates a stronger case.I tried to appeal to a really broad church in Going Nuclear because I really, really do believe that whether you are completely preoccupied by climate change and environmental issues or you're completely preoccupied by economic growth, and raising living, standards and all of that kind of thing, all the monetary side of things, nuclear is for you because if you solve the energy problem, you solve both problems at once. You solve the economic problem and the environmental problem.There's this really interesting relationship between GDP per head — which is obviously incredibly important in economic terms — and energy consumption per head, and it's basically a straight line relationship between the two. There are no rich countries that aren't also massive consumers of energy, so if you really, really care about the economy, you should really also be caring about energy consumption and providing energy abundance so people can go out and use that energy to create wealth and prosperity. Again, that's where nuclear comes in. You can use nuclear power to sate that massive energy demand that growing economies require.This podcast is very pro-wealth and prosperity, but I'll also say, if the nuclear dreams of the '60s where you had, in this country, what was the former Atomic Energy Commission expecting there to be 1000 nuclear reactors in this country by the year 2000, we're not having this conversation about climate change. It is amazing that what some people view as an existential crisis could have been prevented — by the United States and other western countries, at least — just making a different political decision.We would be spending all of our time talking about something else, and how nice would that be?For sure. I'm sure there'd be other existential crises to worry about.But for sure, we wouldn't be talking about climate change was anywhere near the volume or the sense of urgency as we are now if we would've carried on with the nuclear expansion that really took off in the '70s and the '80s. It would be something that would be coming our way in a couple of centuries.About nuclear waste . . . (12:41). . . a 100 percent nuclear-powered life for about 80 years, their nuclear waste would barely fill a wine glass or a coffee cup. I don't know if you've ever seen the television show For All Mankind?I haven't. So many people have recommended it to me.It's great. It's an alt-history that looks at what if the Space Race had never stopped. As a result, we had a much more tech-enthusiastic society, which included being much more pro-nuclear.Anyway, imagine if you are on a plane talking to the person next to you, and the topic of your book comes up, and the person says hey, I like energy, wealth, prosperity, but what are you going to do about the nuclear waste?That almost exact situation has happened, but on a train rather than an airplane. One of the cool things about uranium is just how much energy you can get from a very small amount of it. If typical person in a highly developed economy, say North America, Europe, something like that, if they produced all of their power over their entire lifetime from nuclear alone, so forget fossil fuels, forget wind and solar, a 100 percent nuclear-powered life for about 80 years, their nuclear waste would barely fill a wine glass or a coffee cup. You need a very small amount of uranium to power somebody's life, and the natural conclusion of that is you get a very small amount of waste for a lifetime of power. So in terms of the numbers, and the amount of nuclear waste, it's just not that much of a problem.However, I don't want to just try and trivialize it out of existence with some cool pithy statistics and some cool back-of-the-envelopes physics calculations because we still have to do something with the nuclear waste. This stuff is going to be radioactive for the best part of a million years. Thankfully, it's quite an easy argument to make because good old Finland, which is one of the most nuclear nations on the planet as a share of nuclear in its grid, has solved this problem. It has implemented — and it's actually working now — the world's first and currently only geological repository for nuclear waste. Their idea is essentially to bury it in impermeable bedrock and leave it there because, as with all radioactive objects, nuclear waste becomes less radioactive over time. The idea is that, in a million years, Finland's nuclear waste won't be nuclear waste anymore, it will just be waste. A million years sounds like a really long time to our ears, but it's actually —It does.It sounds like a long time, but it is the blink of an eye, geologically. So to a geologist, a million years just comes and goes straight away. So it's really not that difficult to keep nuclear waste safe underground on those sorts of timescales. However — and this is the really cool thing, and this is one of the arguments that I make in my book — there are actually technologies that we can use to recycle nuclear waste. It turns out that when you pull uranium out of a reactor, once it's been burned for a couple of years in a reactor, 95 percent of the atoms are still usable. You can still use them to generate nuclear power. So by throwing away nuclear waste when it's been through a nuclear reactor once, we're actually squandering like 95 percent of material that we're throwing away.The theory is this sort of the technology behind breeder reactors?That's exactly right, yes.What about the plutonium? People are worried about the plutonium!People are worried about the plutonium, but in a breeder reactor, you get rid of the plutonium because you split it into fission products, and fission products are still radioactive, but they have much shorter half-lives than plutonium. So rather than being radioactive for, say, a million years, they're only radioactive, really, for a couple of centuries, maybe 1000 years, which is a very, very different situation when you think about long-term storage.I read so many papers and memos from the '50s when these reactors were first being built and demonstrated, and they worked, by the way, they're actually quite easy to build, it just happened in a couple of years. Breeder reactors were really seen as the future of humanity's power demands. Forget traditional nuclear power stations that we all use at the moment, which are just kind of once through and then you throw away 95 percent of the energy at the end of it. These breeder reactors were really, really seen as the future.They never came to fruition because we discovered lots of uranium around the globe, and so the supply of uranium went up around the time that the nuclear power expansion around the world kind of seized up, so the uranium demand dropped as the supply increased, so the demand for these breeder reactors kind of petered out and fizzled out. But if we're really, really serious about the medium-term future of humanity when it comes to energy, abundance, and prosperity, we need to be taking a second look at these breeder reactors because there's enough uranium and thorium in the ground around the world now to power the world for almost 1000 years. After that, we'll have something else. Maybe we'll have nuclear fusion.Well, I hope it doesn't take a thousand years for nuclear fusion.Yes, me too.Not your mother's reactors (17:25)In 2005, France got 80 percent of its electricity from nuclear. They almost decarbonized their grid by accident before anybody cared about climate change, and that was during a time when their economy was absolutely booming.I don't think most people are aware of how much innovation has taken place around nuclear in the past few years, or even few decades. It's not just a climate change issue or that we need to power these data centers — the technology has vastly improved. There are newer, safer technologies, so we're not talking about 1975-style reactors.Even if it were the 1975-style reactors, that would be fine because they're pretty good and they have an absolutely impeccable safety record punctuated by a very small number of high-profile events such as Chernobyl and Fukushima. I'm not to count Three Mile Island on that list because nobody died, but you know what I mean.But the modern nuclear reactors are amazing. The ones that are coming out of France, the EPRs, the European Power Reactors, there are going to be two of those in the UK's new nuclear power station, and they've been designed to withstand an airplane flying into the side of them, so they're basically bomb-proof.As for these small modular reactors, that's getting people very excited, too. As their name suggests, they're small. How small is a reasonable question — the answer is as small as you want to go. These things are scalable, and I've seen designs for just one-megawatt reactors that could easily fit inside a shipping container. They could fit in the parking lots around the side of a data center, or in the basement even, all the way up to multi-hundred-megawatt reactors that could fit on a couple of tennis courts worth of land. But it's really the modular part that's the most interesting thing. That's the ‘M' and that's never been done before.Which really gets to the economics of the SMRs.It really does. The idea is you could build upwards of 90 percent of these reactors on a factory line. We know from the history of industrialization that as soon as you start mass producing things, the unit cost just plummets and the timescales shrink. No one has achieved that yet, though. There's a lot of hype around small modular reactors, and so it's kind of important not to get complacent and really keep our eye on the ultimate goal, which is mass-production and mass rapid deployment of nuclear power stations, crucially in the places where you need them the most, as well.We often think about just decarbonizing our electricity supply or decoupling our electricity supply from volatilities in the fossil fuel market, but it's about more than electricity, as well. We need heat for things like making steel, making the ammonia that feeds most people on the planet, food and drinks factories, car manufacturers, plants that rely on steam. You need heat, and thankfully, the primary energy from a nuclear reactor is heat. The electricity is secondary. We have to put effort into making that. The heat just kind of happens. So there's this idea that we could use the surplus heat from nuclear reactors to power industrial processes that are very, very difficult to decarbonize. Small modular reactors would be perfect for that because you could nestle them into the industrial centers that need the heat close by. So honestly, it is really our imaginations that are the limits with these small modular reactors.They've opened a couple of nuclear reactors down in Georgia here. The second one was a lot cheaper and faster to build because they had already learned a bunch of lessons building that first one, and it really gets at sort of that repeatability where every single reactor doesn't have to be this one-off bespoke project. That is not how it works in the world of business. How you get cheaper things is by building things over and over, you get very good at building them, and then you're able to turn these things out at scale. That has not been the economic situation with nuclear reactors, but hopefully with small modular reactors, or even if we just start building a lot of big advanced reactors, we'll get those economies of scale and hopefully the economic issue will then take care of itself.For sure, and it is exactly the same here in the UK. The last reactor that we connected to the grid was in 1995. I was 18 months old. I don't even know if I was fluent in speaking at 18 months old. I was really, really young. Our newest nuclear power station, Hinkley Point C, which is going to come online in the next couple of years, was hideously expensive. The uncharitable view of that is that it's just a complete farce and is just a complete embarrassment, but honestly, you've got to think about it: 1995, the last nuclear reactor in the UK, it was going to take a long time, it was going to be expensive, basically doing it from scratch. We had no supply chain. We didn't really have a workforce that had ever built a nuclear reactor before, and with this new reactor that just got announced a couple of weeks ago, the projected price is 20 percent cheaper, and it is still too expensive, it's still more expensive than it should be, but you're exactly right.By tapping into those economies of scale, the cost per nuclear reactor will fall, and France did this in the '70s and '80s. Their nuclear program is so amazing. France is still the most nuclear nation on the planet as a share of its total electricity. In 2005, France got 80 percent of its electricity from nuclear. They almost decarbonized their grid by accident before anybody cared about climate change, and that was during a time when their economy was absolutely booming. By the way, still today, all of those reactors are still working and they pay less than the European Union average for that electricity, so this idea that nuclear makes your electricity expensive is simply not true. They built 55 nuclear reactors in 25 years, and they did them in parallel. It was just absolutely amazing. I would love to see a French-style nuclear rollout in all developed countries across the world. I think that would just be absolutely amazing.Commercial fusion, coming soon . . . ? (23:06)I think we're pretty good at doing things when we put our minds to it, but certainly not in the next couple of decades. But luckily, we already have a proven way of producing lots of energy, and that's with nuclear fission, in the meantime.What is your enthusiasm level or expectation about nuclear fusion? I can tell you that the Silicon Valley people I talk to are very positive. I know they're inherently very positive people, but they're very enthusiastic about the prospects over the next decade, if not sooner, of commercial fusion. How about you?It would be incredible. The last question that I was asked in my PhD interview 10 years ago was, “If you could solve one scientific or engineering problem, what would it be?” and my answer was nuclear fusion. And that would be the answer that I would give today. It just seems to me to be obviously the solution to the long-term energy needs of humanity. However, I'm less optimistic, perhaps, than the Silicon Valley crowd. The running joke, of course, is that it's always 40 years away and it recedes into the future at one year per year. So I would love to be proved wrong, but realistically — no one's even got it working in a prototype power station. That's before we even think about commercializing it and deploying it at scale. I really, really think that we're decades away, maybe even something like a century. I'd be surprised if it took longer than a century, actually. I think we're pretty good at doing things when we put our minds to it, but certainly not in the next couple of decades. But luckily, we already have a proven way of producing lots of energy, and that's with nuclear fission, in the meantime.Don't go to California with that attitude. I can tell you that even when I go there and I talk about AI, if I say that AI will do anything less than improve economic growth by a factor of 100, they just about throw me out over there. Let me just finish up by asking you this: Earlier, we mentioned Three Mile Island and Chernobyl. How resilient do you think this nuclear renaissance is to an accident?Even if we take the rate of accident over the last 70 years of nuclear power production and we maintain that same level of rate of accident, if you like, it's still one of the safest things that our species does, and everyone talks about the death toll from nuclear power, but nobody talks about the lives that it's already saved because of the fossil fuels, that it's displaced fossil fuels. They're so amazing in some ways, they're so convenient, they're so energy-dense, they've created the modern world as we all enjoy it in the developed world and as the developing world is heading towards it. But there are some really, really nasty consequences of fossil fuels, and whether or not you care about climate change, even the air pollution alone and the toll that that takes on human health is enough to want to phase them out. Nuclear power already is orders of magnitude safer than fossil fuels and I read this really amazing paper that globally, it was something like between the '70s and the '90s, nuclear power saved about two million lives because of the fossil fuels that it displaced. That's, again, orders of magnitude more lives that have been lost as a consequence of nuclear power, mostly because of Chernobyl and Fukushima. Even if the safety record of nuclear in the past stays the same and we forward-project that into the future, it's still a winning horse to bet on.If in the UK they've started up one new nuclear reactor in the past 30 years, right? How many would you guess will be started over the next 15 years?Four or five. Something like that, I think; although I don't know.Is that a significant number to you?It's not enough for my liking. I would like to see many, many more. Look at France. I know I keep going back to it, but it's such a brilliant example. If France hadn't done what they'd done in between the '70s and the '90s — 55 nuclear reactors in 25 years, all of which are still working — it would be a much more difficult case to make because there would be no historical precedent for it. So, maybe predictably, I wouldn't be satisfied with anything less than a French-scale nuclear rollout, let's put it that way.On sale everywhere The Conservative Futurist: How To Create the Sci-Fi World We Were PromisedMicro Reads▶ Economics* The U.S. Marches Toward State Capitalism With American Characteristics - WSJ* AI Spending Is Propping Up the Economy, Right? It's Complicated. - Barron's* Goodbye, $165,000 Tech Jobs. Student Coders Seek Work at Chipotle. - NYT* Sam Altman says Gen Z are the 'luckiest' kids in history thanks to AI, despite mounting job displacement dread - NYT* Lab-Grown Diamonds Are Testing the Power of Markets - Bberg Opinion* Why globalisation needs a leader: Hegemons, alignment, and trade - CEPR* The Rising Returns to R&D: Ideas Are not Getting Harder to Find - SSRN* An Assessment of China's Innovative Capacity - The Fed* Markets are so used to the TACO trade they didn't even blink when Trump extended a tariff delay with China - Fortune* Labor unions mobilize to challenge advance of algorithms in workplaces - Wapo* ChatGPT loves this bull market. Human investors are more cautious. - Axios* What is required for a post-growth model? - Arxiv* What Would It Take to Bring Back US Manufacturing? - Bridgewater▶ Business* An AI Replay of the Browser Wars, Bankrolled by Google - Bberg* Alexa Got an A.I. Brain Transplant. How Smart Is It Now? - NYT* Google and IBM believe first workable quantum computer is in sight - FT* Why does Jeff Bezos keep buying launches from Elon Musk? - Ars* Beijing demands Chinese tech giants justify purchases of Nvidia's H20 chips - FT* An AI Replay of the Browser Wars, Bankrolled by Google - Bberg Opinion* Why Businesses Say Tariffs Have a Delayed Effect on Inflation - Richmond Fed* Lisa Su Runs AMD—and Is Out for Nvidia's Blood - Wired* Forget the White House Sideshow. Intel Must Decide What It Wants to Be. - WSJ* With Billions at Risk, Nvidia CEO Buys His Way Out of the Trade Battle - WSJ* Donald Trump's 100% tariff threat looms over chip sector despite relief for Apple - FT* Sam Altman challenges Elon Musk with plans for Neuralink rival - FT* Threads is nearing X's daily app users, new data shows - TechCrunch▶ Policy/Politics* Trump's China gamble - Axios* U.S. Government to Take Cut of Nvidia and AMD A.I. Chip Sales to China - NYT* A Guaranteed Annual Income Flop - WSJ Opinion* Big Tech's next major political battle may already be brewing in your backyard - Politico* Trump order gives political appointees vast powers over research grants - Nature* China has its own concerns about Nvidia H20 chips - FT* How the US Could Lose the AI Arms Race to China - Bberg Opinion* America's New AI Plan Is Great. There's Just One Problem. - Bberg Opinion* Trump, Seeking Friendlier Economic Data, Names New Statistics Chief - NYT* Trump's chief science adviser faces a storm of criticism: what's next? - Nature* Trump Is Squandering the Greatest Gift of the Manhattan Project - NYT Opinion▶ AI/Digital* Can OpenAI's GPT-5 model live up to sky-high expectations? - FT* Google, Schmoogle: When to Ditch Web Search for Deep Research - WSJ* AI Won't Kill Software. It Will Simply Give It New Life. - Barron's* Chatbot Conversations Never End. That's a Problem for Autistic People. - WSJ* Volunteers fight to keep ‘AI slop' off Wikipedia - Wapo* Trump's Tariffs Won't Solve U.S. Chip-Making Dilemma - WSJ* GenAI Misinformation, Trust, and News Consumption: Evidence from a Field Experiment - NBER* GPT-5s Are Alive: Basic Facts, Benchmarks and the Model Card - Don't Worry About the Vase* What you may have missed about GPT-5 - MIT* Why A.I. Should Make Parents Rethink Posting Photos of Their Children Online - NYT* 21 Ways People Are Using A.I. at Work - NYT* AI and Jobs: The Final Word (Until the Next One) - EIG* These workers don't fear artificial intelligence. They're getting degrees in it. - Wapo* AI Gossip - Arxiv* Meet the early-adopter judges using AI - MIT* The GPT-5 rollout has been a big mess - Ars* A Humanoid Social Robot as a Teaching Assistant in the Classroom - Arxiv* OpenAI Scrambles to Update GPT-5 After Users Revolt - Wired* Sam Altman and the whale - MIT* This is what happens when ChatGPT tries to write scripture - Vox* How AI could create the first one-person unicorn - Economist* AI Robs My Students of the Ability to Think - WSJ Opinion* Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning - Arxiv▶ Biotech/Health* Scientists Are Finally Making Progress Against Alzheimer's - WSJ Opinion* The Dawn of a New Era in Alzheimer's and Parkinson's Treatment - RealClearScience* RFK Jr. shifts $500 million from mRNA research to 'safer' vaccines. Do the data back that up? - Reason* How Older People Are Reaping Brain Benefits From New Tech - NYT* Did Disease Defeat Napoleon? - SciAm* Scientists Discover a Viral Cause of One of The World's Most Common Cancers - ScienceAlert* ‘A tipping point': An update from the frontiers of Alzheimer's disease research - Yale News* A new measure of health is revolutionising how we think about ageing - NS* First proof brain's powerhouses drive – and can reverse – dementia symptoms - NA* The Problem Is With Men's Sperm - NYT Opinion▶ Clean Energy/Climate* The Whole World Is Switching to EVs Faster Than You - Bberg Opinion* Misperceptions About Air Pollution: Implications for Willingness to Pay and Environmental Inequality - NBER* Texas prepares for war as invasion of flesh-eating flies appears imminent - Ars* Data Center Energy Demand Will Double Over the Next Five Years - Apollo Academy* Why Did Air Conditioning Adoption Accelerate Faster Than Predicted? Evidence from Mexico - NBER* Microwaving rocks could help mining operations pull CO2 out of the air - NS* Ford's Model T Moment Isn't About the Car - Heatmap* Five countries account for 71% of the world's nuclear generation capacity - EIA* AI may need the power equivalent of 50 large nuclear plants - E&E▶ Space/Transportation* NASA plans to build a nuclear reactor on the Moon—a space lawyer explains why - Ars* Rocket Lab's Surprise Stock Move After Solid Earnings - Barron's▶ Up Wing/Down Wing* James Lovell, the steady astronaut who brought Apollo 13 home safely, has died - Ars* Vaccine Misinformation Is a Symptom of a Dangerous Breakdown - NYT Opinion* We're hardwired for negativity. That doesn't mean we're doomed to it. - Vox* To Study Viking Seafarers, He Took 26 Voyages in a Traditional Boat - NYT* End is near for the landline-based service that got America online in the '90s - Wapo▶ Substacks/Newsletters* Who will actually profit from the AI boom? - Noahpinion* OpenAI GPT-5 One Unified System - AI Supremacy* Proportional representation is the solution to gerrymandering - Slow Boring* Why I Stopped Being a Climate Catastrophist - The Ecomodernist* How Many Jobs Depend on Exports? - Conversable Economist* ChatGPT Classic - Joshua Gans' Newsletter* Is Air Travel Getting Worse? - Maximum Progress▶ Social Media* On AI Progress - @daniel_271828* On AI Usage - @emollick* On Generative AI and Student Learning - @jburnmurdoch Faster, Please! is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit fasterplease.substack.com/subscribe

Join us in Oregon for our Bloom Together Business Soiree on September 4th! Get your ticket while you can at ⁠⁠⁠https://www.cubicletoceo.co/bloomtogether⁠⁠⁠ Many remote teams struggle with connection, culture, and performance, but Ginni Media is raising the bar. Founder Ginni Saraswati Cook recently led a company-wide culture assessment to evaluate how her remote team was experiencing work satisfaction across five core drivers: Sense of Progress, Challenge, Autonomy, Meaningful Goals, and Team Support. When comparing the results, Ginni Media beat the industry average in every category, including scoring an impressive 100% in team support. Even traditionally tough metrics like autonomy and progress came in nearly 20 percentage points higher than typical benchmarks for remote, hybrid, and in-person teams. This is not a happy accident. In today's case study, Ginni breaks down the intentional leadership strategies she uses to build trust, motivate her team, and maintain high work satisfaction. If you lead a remote team—or plan to—this is a culture blueprint worth copying. Connect with Ginni: www.ginnisaraswati.com www.ginnimedia.com IG @theginnishow / @ginnimedia https://www.youtube.com/@TheGinniShow Iconic business leaders all have their own unique genius. Take this quick 10 question quiz to uncover your specific CEO style advantage: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://cubicletoceo.co/quiz⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ If you enjoyed today's episode, please: Post a screenshot & key takeaway on your IG story and tag me ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@missellenyin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@cubicletoce⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠o so we can repost you. Leave a positive review or rating at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.ratethispodcast.com/cubicletoceo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe for new episodes every Monday. Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to this episode of 20/20 Money! My guest on today's show is Nathan Hayes. Nathan joins me on the show to do a deep dive into 2024's Books & Benchmark's annual report. He shares ranges of the numbers that practice owners should really care about and should be tracking: COGS, non-OD staff expense, Associate OD comp ranges, occupancy costs, and G&A (general & administrative). We also talk about some of the lessons that practice owners can learn from these numbers and walk through a number of examples that both he and I have seen in our work with owners.   As a reminder, you can get all the information discussed in today's conversation by visiting our website at integratedpwm.com and clicking on the Learning Center. While there, be sure to subscribe to our monthly “planning life on purpose” newsletter that's filled with tips and ideas to help you plan your best life, on purpose. You can also set up a Triage conversation to learn a little bit more about how we serve in the capacity of a personal and professional CFO: helping OD practice owners around the country reduce their tax bill, proactively manage cash flow, and make prudent investment decisions both in and out of their practice to ultimately help them live their best life on purpose. If you're interested in learning more about the 20/20 Money Financial Success Masterclass, a course & platform that we created to help ODs become “brilliant at the financial basics,” or are interested in learning more about how OD Masterminds creates space for real conversations, real accountability, and real growth, please check out the link in the show notes of this episode to learn more.   And with that introduction, I hope you enjoy my conversation with Nathan Hayes.   Resources: 20/20 Money Ultimate Financial Success Masterclass OD Mastermind Interest Form Download the 2024 Books & Benchmarks Report Learn more about Books & Benchmarks Embezzlement in optometry practices: how it happens, who's likely to do it, and ways in which you can prevent it from happening w/ Dr. Bethany Fishbein, OD   ————————————————————————————— Please rate and subscribe to 20/20 Money on these platforms Apple Podcasts Spotify ————————————————————————————— For past episodes of 20/20 Money with full companion show notes, please check out our episode archive here!

Today we're reviewing the state of the private markets using the NEW benchmarks released by Mostly Metrics. We surveyed our readers to see how their company's are doing… And it's tough to be a company between $5M and $25M in revenue right now.Three other things that stood out from the benchmarks this quarter:1️⃣ CAC Payback is up across the board. It's taking longer to earn back customer acquisition costs. AI is disrupting traditional search channels, and companies are building internal tooling instead of buying when it makes sense.2️⃣ Revenue is coming from existing bases. Net Dollar Retention is doing the heavy lifting — especially beyond $25M ARR. Expansion efficiency is becoming the key growth lever.3️⃣ Burn multiples keep falling. In reaction to expensive growth, capital efficiency is trending up. Even companies under $25M ARR are showing discipline.Get the whole 33 page report hereThis week's podcast is brought to you by Campfire (www.campfire.ai)We've all used legacy ERPs. Painful migrations, endless consulting fees, and even after you're live, getting simple answers still means hours in spreadsheets.Campfire fixes that. It's the AI-first ERP built for modern finance and accounting teams. It's helping mid-market and enterprise teams close faster, unlock insights instantly, and scale smarter - without the additional headcount.I use Campfire myself, and it's been a game changer for our finance workflow. The interface is intuitive, migration was quick & painless, and it's freed us up to focus on strategic work.They just raised $35 million from Accel to further reimagine ERP. That's not easy to do.I'm excited to see how they keep reimagining this space – and you should be too.Check them out at www.campfire.ai This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.mostlymetrics.com

Think you might be richer than you realize? In this episode of the Retire Sooner Podcast, Wes Moss and Christa DiBiase examine realistic benchmarks and practical frameworks for retirement planning. • Define what the “rich ratio” means and consider how it may reframe your retirement outlook. • Compare your savings habits to U.S. medians to understand the broader landscape. • Acknowledge that building wealth typically occurs over long periods and that consistency can be meaningful. • Discuss research on how happiness and financial confidence often plateau beyond certain savings levels. • Evaluate the roles of traditional and Roth IRAs, 457(b)s, pensions, and brokerage accounts to support flexibility. • Identify scenarios where a standalone brokerage account may be unnecessary for certain savers. • Consider a target date fund allocation approach that may better align with your stated risk tolerance. • Weigh convenience, costs, and tax features of index mutual funds versus ETFs, including changes following a major fund industry patent expiration. • Clarify how the Net Unrealized Appreciation (NUA) rule for company stock in 401(k)s works and where tax treatment can differ. • Review key factors when choosing between a state pension plan and a self directed plan for teachers and public employees. • Position specialized pension income, including Railroad Retirement, as part of a base income layer within an overall plan, subject to program rules. • Incorporate year round tax planning as a component of a well documented retirement strategy, noting that individual circumstances vary. Listen and SUBSCRIBE to the Retire Sooner Podcast for weekly educational conversations that can inform more confident financial decision making. Learn more about your ad choices. Visit megaphone.fm/adchoices

An analysis of BC housing orders shows that many municipalities are behind schedule on their home building target, sparking concerns about whether they will be able to complete their benchmarks on time.    Read the full article here: https://www.coastalfront.ca/read/bc-municipalities-are-behind-housing-supply-benchmarks-analysis-shows   PODCAST INFO:

Send us a textIf you've ever wondered whether you're emailing your customers too much—or not enough—this episode is for you.Brandon and Caleb break down the strategy (not just the tactics) behind email marketing that actually works. With real benchmarks, proven ROI stats, and examples from businesses just like yours, you'll walk away knowing exactly how often to send, what to say, and how to keep your audience engaged—not annoyed.Inside this episode:The surprising ROI of email marketing ($36–$40 per $1 spent)Benchmarks for frequency, open rates, and unsubscribesWhat to send (even if you're “just a plumber”)Why email isn't about selling—it's about staying top of mindHow to revive a “cold” list the right wayWhether you're sending one email a month or none at all, this is your reminder: your best customer is your yesterday customer—and they're waiting to hear from you.Maven Marketing Mastermind → https://www.mavenmethodtraining.comOur Website: https://frankandmaven.com/Instagram: https://www.instagram.com/frankandmavenmarketing/TikTok: https://www.tiktok.com/@frankandmavenTwitter: https://twitter.com/frankandmavenLinkedIn: https://www.linkedin.com/company/frank-and-maven/Host: Brandon WelchCo-Host: Caleb AgeeExecutive Producer: Carter BreauxAudio/Video Producer: Nate the Camera GuyDo you have a marketing problem you'd like us to help solve? Send it to MavenMonday@FrankandMaven.com!Get a copy of our Best-Selling Book, The Maven Marketer Here: https://a.co/d/1clpm8a

Luke Flemmer, head of private assets at MSCI, joins the program to comment on the results of the survey, which analyzes the performance of various private market strategies, including buyouts, venture capital, private credit and real assets, based on dataset of more than 14,000 funds and $12 trillion in capitalization. (07/2025)

Luke Flemmer, head of private assets at MSCI, joins the program to comment on the results of the survey, which analyzes the performance of various private market strategies, including buyouts, venture capital, private credit and real assets, based on dataset of more than 14,000 funds and $12 trillion in capitalization. (07/2025)

Lo tenemos.

AS HUMANS WE:ENTERTAIN OUR NATURAL TENDENCIES ARE NATURALLY NEGATIVE ACCOMMODATE OUR SIN NATUREDEPLOY OUR KNEE-JERK REACTIONSPACIFY OUR REFLEX INCLINATION APPEAL TO THE GRAVITY OF OUR FLESHWORLD TELLS US:CAN'T TEACH OLD DOG NEW TRICKSLEAD A HORSE TO WATER…IT'S JUST HOW I AMIT'S BEEN IN MY FAMILY FOR YEARSBIBLE SAYS:NEW CREATIONPROGRESSIVELY SANCTIFIED FAITH TO FAITH GLORY TO GLORYRENEWEDRESTOREDREBORNREVIVEDTRIGGERS THAT REVEAL MY REFLEXESTRAFFIC STUPIDITYINCONSIDERATE CUSTOMER DIS-SERVICESELF-CENTERED EGOTISTICAL HUMANSIDLE TIME & BOREDOMFAMILY CONFLICT OR WORK ADVERSITY/FRUSTRATION5 BENCHMARKS FOR BREAKING OUR NATURAL BENDPREREQUISITES INVITE HOLY SPIRIT FOR DAILY GUIDANCE & WISDOMENLIST ONE GODLY BROTHER FOR ACCOUNTABILITY DO WHAT FEELS UNNATURAL FREQUENT UNFAMILIARITY DISCONNECT FROM HISTORICAL PATTERNSBREAK BAD HABITSNEW MUSCLE MEMORY AND NEURO PATHWAYS | NEURO PLASTICITY DEVELOP PSYCHOLOGICAL SORENESS | STRETCH IN DIFFERENT DIRECTIONS INGESTION INFILTRATION BREAK FAST FOOD FETISHSHOCK YOUR SYSTEM | FASTINGSCRUTINIZE THE CYNIC BREAK NATURAL THOUGHT CYCLE ABOUT OTHERSRECALIBRATE THE REFLEXEXIT THE ECHO CHAMBERCUT BAIT & TRIM FAT OF TOXIC CIRCLEVACATE THE VENOMOUS VACUUM 

Cognition schnappt sich Windsurf nach Googles spektakulärem „Talent-Heist“, während Elon Musk xAI per SpaceX-Milliarden auf eine 200-Mrd.-$-Bewertung pumpt. Mark Zuckerberg kontert mit gigantischen Titan-Clustern (Prometheus & Hyperion) und verspricht dreistellige Milliarden-Investitionen in KI-Rechenpower. Chip-Newcomer Groq peilt 6 Mrd.$ an, Nvidia darf mit den H20-Beschleunigern wieder nach China liefern, und Grok 4 glänzt in Benchmarks – muss sich aber für „MechaHitler“-Entgleisungen entschuldigen. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Windsurf-Deal (00:08:30) xAI-Runde: 200 Mrd.$ Bewertung, 2 Mrd.$ von SpaceX (00:21:30) Meta-Titan-Cluster: Prometheus / Hyperion > 1 GW (00:26:50) Groq-Raise: LPU-Chips zu 6 Mrd.$ (00:25:45) USA lockern: Nvidia H20 & AMD-MI300 für China (00:34:10) Grok 4: Benchmark-Sieg, Bias & Überwachungs-Tool Shownotes Cognition übernimmt Windsurf – techcrunch.com Elon Musks xAI strebt $200 Mrd. Bewertung an – on.ft.com Exklusiv: SpaceX investiert 2 Milliarden Dollar in Elon Musks xAI – wsj.com Peter Gostev zu Grok 4 sind mehrere unabhängige Benchmarks aufgetaucht. – linkedin.com Zuckerberg: Meta plant Gigawatt-Datenzentren – bloomberg.com Superintelligenz: Elite-Team und Milliardeninvestitionen in Rechenleistung – threads.com Elon Musk überwacht Mitarbeiter seiner KI-Firma – thedailybeast.com Nvidia-Herausforderer Groq: $6 Milliarden Bewertung – theinformation.com xAI und Grok entschuldigen sich für „schreckliches Verhalten“ – techcrunch.com Nvidia, AMD verkaufen wieder KI-Chips an China – bloomberg.com Grok: Interaktive KI-Begleiter auf iOS mit 3D-Avataren – testingcatalog.com Trump behielt Goldpokal, FIFA gab Replikat an Sieger – thedailybeast.com

En esta tertulia semanal de Product Hackers, hablamos de los temas más calientes en Inteligencia Artificial.Empezamos con Grok 4, el nuevo modelo de xAI que promete superar a los PhDs en varios benchmarks. ¿Está Elon más cerca que nadie de la AGI? Exploramos el auge de los navegadores agénticos como Comet de Perplexity y DIA, que están reimaginando la experiencia de navegación con IA integrada. Y muchas más noticias

Grok 4 from xAI just aced “Humanity's Last Exam” benchmarks while Grok 3 had a catastrophic public meltdown. What does this mean for the future of AI and Elon Musk's credibility? And, in other AI news, OpenAI's GPT-5 is rumored to land next week along with a new open-source reasoning model, Google's DeepMind launches AI-designed drugs into human trials, and Perplexity's new AI browser Comet sparks OpenAI's plan to crush Chrome. PLUS YouTube cracks down on AI-generated spam while updating image-to-video in VEO 3, Moon Valley releases an “ethical” AI video platform, and why you should probably stop kicking robots. AI IS GETTING SMARTER...BUT WE STILL CONTROL THE TREATS. Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links //  Grok4: The Smartest Model Yet? https://x.com/xai/status/1943158495588815072    Elon Says Grok-4 is better than PhD Level… https://x.com/teslaownersSV/status/1943168634672566294   Benchmarks https://x.com/ArtificialAnlys/status/1943166841150644622 https://x.com/arcprize/status/1943168950763950555   McKay Wrigley Grok 4 Heavy Example https://x.com/mckaywrigley/status/1943385794414334032   Grok Goes Bad: The Unhinged Behavior https://www.nytimes.com/2025/07/08/technology/grok-antisemitism-ai-x.html https://www.npr.org/2025/07/09/nx-s1-5462609/grok-elon-musk-antisemitic-racist-content   X CEO Linda Yaccarino Quits https://www.cnbc.com/2025/07/09/linda-yaccarino-x-elon-musk.html   Elon still trying to fix answers  https://x.com/elonmusk/status/1943240153587421589   OpenAI Poaches Tesla/xAi People https://www.wired.com/story/openai-new-hires-scaling/   Apple's Top AI Exec Leaves For Meta https://x.com/markgurman/status/1942341725499863272   OpenAI's open-source model coming as soon as next week and compares to o3-mini https://www.theverge.com/notepad-microsoft-newsletter/702848/openai-open-language-model-o3-mini-notepad   Perplexity's Comet Browser Launches https://comet.perplexity.ai/   OpenAI Fires Back With Its Browser News https://x.com/AndrewCurran_/status/1943008960803680730   YouTube *Might* Change Their Policies to Limit Faceless AI Videos (and mass produced content) https://techcrunch.com/2025/07/09/youtube-prepares-crackdown-on-mass-produced-and-repetitive-videos-as-concern-over-ai-slop-grows/   Google VEO 3 Image-to-Vid launched https://x.com/Uncanny_Harry/status/1942686253817974984 https://x.com/CaptainHaHaa/status/1942907271841030183 https://x.com/TheoMediaAI/status/1942564887114166493   My test + ask for sound sampling from the team: https://x.com/AIForHumansShow/status/1942597607312040348   Moonvalley Launches AI Video Platform https://www.moonvalley.com/   GoogleDeepMinds's Isomorphic Labs Starts Human Trials on AI generated drugs https://www.aol.com/finance/google-deepmind-grand-ambitions-cure-130000934.html?utm_source=perplexity&guccounter=1   Noetix N2 Robot Endures Abuse From Its Developer https://x.com/TheHumanoidHub/status/1941935665173963085 https://noetixrobotics.com/products-138.html   Kavan The Kid (the AI Batman video guy) CRUSHED His New Original Trailer https://x.com/Kavanthekid/status/1940452444850589999   Reachy The Robot from Hugging Face https://x.com/Thom_Wolf/status/1942887160983466096   Autonomous Robot Excavator Building a Wall https://x.com/lukas_m_ziegler/status/1941815414683521488  

Learn how recognizing milestones and benchmarks in the faith leads to healthy spiritual development for children and adults alike!  Bio: Mark Cook is a graduate of Concordia Nebraska and is in his 15th year serving as DCE at Trinity Lutheran Church in Rochester, MN. He serves in the areas of family ministry, youth ministry, confirmation, and children's ministry. He enjoys playing with his kids, music, camping, backpacking, and anything that involves being outdoors and going on adventures with his beautiful wife Libby and children, Micah (8), Karis (6), Ezra (3), Isaiah (20mo), and baby girl (coming soon!). Resources: Email us at friendsforlife@lcms.org LCMS Life Ministry: www.lcms.org/life  LCMS Family Ministry: www.lcms.org/family  Not all the views expressed are necessarily those of the LCMS; please discuss any questions with your pastor.

You probably know the story of the Mayflower, the famous ship that came to America. But you may not know that one of the passengers aboard the Mayflower nearly died after he fell overboard in a storm. But after he was rescued, his descendants became some of the most famous Americans in history. One biography really can change history, and that is certainly true of Jesus, the most important person who ever lived. What are the five benchmarks of Jesus' biography, and why do they still matter to your life today? (Wonder Junction VBS Grand Finale Sunday 2025)

“Is my kid where they're supposed to be?”It's one of the most common questions we hear—and this week on Our Kids Play Hockey, Lee, Christie, and Mike break it all down with a level-headed, age-by-age guide to youth hockey development.Whether your player is just learning to stand on skates or preparing for juniors, this episode helps you understand what skills are appropriate right now, what's coming next, and how to support your child's journey without rushing the process.

Bible Direction for Life is the sermon podcast of Westside Baptist Church in Bremerton, Washington. This sermon is entitled “Benchmarks of Discipleship” and was preached by Josh Bartels on June 22, 2025. If you would like to learn more about Westside Baptist Church, please visit our Website: www.BibleDirectionForLife.com. Subscribe to the Podcast if you would like to hear new sermons and lessons each week.  

How much R&D spend is too much—or not enough? In episode #290 of SaaS Metric School, Ben Murray breaks down R&D spend benchmarks by company revenue size, based on data from Ray Rike's Benchmarkit.ai. Whether you're a founder, CFO, CTO, or finance leader, understanding how your R&D investment compares is crucial for building operational leverage and scaling sustainably. What You'll Learn: Why R&D spend can feel like a black box—especially for CFOs Top vs. lean R&D spending benchmarks by revenue tiers: How R&D spend typically scales down as companies grow Why controlling opex and creating operating leverage is key to cash flow and EBITDA Resources & Links:

Solving Poker and Diplomacy, Debating RL+Reasoning with Ilya, what's *wrong* with the System 1/2 analogy, and where Test-Time Compute hits a wall Timestamps 00:00 Intro – Diplomacy, Cicero & World Championship 02:00 Reverse Centaur: How AI Improved Noam's Human Play 05:00 Turing Test Failures in Chat: Hallucinations & Steerability 07:30 Reasoning Models & Fast vs. Slow Thinking Paradigm 11:00 System 1 vs. System 2 in Visual Tasks (GeoGuessr, Tic-Tac-Toe) 14:00 The Deep Research Existence Proof for Unverifiable Domains 17:30 Harnesses, Tool Use, and Fragility in AI Agents 21:00 The Case Against Over-Reliance on Scaffolds and Routers 24:00 Reinforcement Fine-Tuning and Long-Term Model Adaptability 28:00 Ilya's Bet on Reasoning and the O-Series Breakthrough 34:00 Noam's Dev Stack: Codex, Windsurf & AGI Moments 38:00 Building Better AI Developers: Memory, Reuse, and PR Reviews 41:00 Multi-Agent Intelligence and the “AI Civilization” Hypothesis 44:30 Implicit World Models and Theory of Mind Through Scaling 48:00 Why Self-Play Breaks Down Beyond Go and Chess 54:00 Designing Better Benchmarks for Fuzzy Tasks 57:30 The Real Limits of Test-Time Compute: Cost vs. Time 1:00:30 Data Efficiency Gaps Between Humans and LLMs 1:03:00 Training Pipeline: Pretraining, Midtraining, Posttraining 1:05:00 Games as Research Proving Grounds: Poker, MTG, Stratego 1:10:00 Closing Thoughts – Five-Year View and Open Research Directions Chapters 00:00:00 Intro & Guest Welcome 00:00:33 Diplomacy AI & Cicero Insights 00:03:49 AI Safety, Language Models, and Steerability 00:05:23 O Series Models: Progress and Benchmarks 00:08:53 Reasoning Paradigm: Thinking Fast and Slow in AI 00:14:02 Design Questions: Harnesses, Tools, and Test Time Compute 00:20:32 Reinforcement Fine-tuning & Model Specialization 00:21:52 The Rise of Reasoning Models at OpenAI 00:29:33 Data Efficiency in Machine Learning 00:33:21 Coding & AI: Codex, Workflows, and Developer Experience 00:41:38 Multi-Agent AI: Collaboration, Competition, and Civilization 00:45:14 Poker, Diplomacy & Exploitative vs. Optimal AI Strategy 00:52:11 World Models, Multi-Agent Learning, and Self-Play 00:58:50 Generative Media: Image & Video Models 01:00:44 Robotics: Humanoids, Iteration Speed, and Embodiment 01:04:25 Rapid Fire: Research Practices, Benchmarks, and AI Progress 01:14:19 Games, Imperfect Information, and AI Research Directions

Ryan Carniato, creator of SolidJS, joins the podcast to reflect on a decade of developing the framework. We dive into the evolution of frontend tooling, the rise of fine-grained reactivity, and why SolidJS continues to challenge virtual DOM conventions. Ryan also shares insights on open source maintenance, web standards, and the future of UI architecture. Links YouTube: https://www.youtube.com/@ryansolid X: https://x.com/ryancarniato Dev.to: https://dev.to/ryansolid SolidJS Website: https://www.solidjs.com Resources A Decade of SolidJS: https://dev.to/this-is-learning/a-decade-of-solidjs-32f4 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Ryan Carniato.

In episode #285 of SaaS Metrics School, Ben Murray dives into one of the most overlooked levers in SaaS financial performance—G&A (General & Administrative) spend. How much should you really be spending on back office functions like finance, HR, legal, and IT? Using data from Benchmarkit.AI, Ben walks through G&A as a percent of revenue across ARR stages—from startups under $1M to companies exceeding $100M. He also explains how operating leverage is created through back office efficiency and why using benchmarks segmented by ARR is crucial in SaaS metrics analysis. What You'll Learn: Why aggregate SaaS benchmarks are dangerous G&A benchmarks by ARR segment (top quartile vs. median) The role of operating leverage in SaaS profitability How to evaluate your own back office spend using metrics Actionable targets for G&A as a percent of revenue SaaS Metrics Covered: G&A % of Revenue Operating Leverage Opex Profile by ARR Benchmarking by ARR vs. ACV Resources Mentioned: Benchmarkit.ai Join Ben's SaaS Metrics community for webinars, templates, and live sessions: https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Subscribe to Ben's SaaS newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page

Dave "CAC" Kellogg and Ray "Growth" Rike break down the recent Benchmarkit B2B Marketing Budget and Productivity Benchmarks Report. Key trends and insights into how the Marketing budgets are established, consumed and reported upon including:Marketing budget as a percentage of revenue including YoY changes and segmented by company sizeGrowth Rates compared to Marketing budget allocation - the chicken or the egg discussionPeople vs Program vs Technology budget allocation - and which company profile attributes impact the resultsDemand Generation - how much of the Marketing budget is consumed by demand gen - it depends...Product-Led Growth vs Sales-Led Growth - how the GTM motion impacts budget allocationTop 3 Marketing Performance Metrics use and the Top 3 Marketing efficiency metrics usedIf you are evaluating how your Marketing budget companies to similar "like" companies or how other companies are measuring the efficiency and/or Marketing ROI - this episode has something for you!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, host Mark Longo is joined by guests Russell Rhodes (Indiana University Kelley School of Business), Damien Zinck (Eurex), and Nick Cassano (Tradier) to delve into the dynamic world of European derivatives markets. The discussion encompasses various aspects such as the Euro STOXX 50 index, DAX futures, VSTOXX volatility index, and innovative trading strategies like one-by-two call spreads. The episode highlights the impact of market volatility driven by global trade wars and geopolitical factors on European markets. The experts also share insights into sector-specific futures and the growing interest in European derivatives among US investors.   01:22 Welcome to the European Market Brief 02:31 Episode Two Kickoff and Guest Introductions 07:26 Diving into the Euro Stocks 50 13:51 Exploring the DAX and Micro Contracts 17:42 Trading Strategies and Leverage in Futures 18:58 Understanding VSTOXX and Volatility 27:34 VSTOXX vs VIX: A Comparative Analysis 28:26 European Derivatives Market: Current Trends 29:13 Impact of Trade Wars and Geopolitics 36:20 Sector Futures and Trading Opportunities 42:33 Volatility Trading Strategies 46:07 Listener Feedback and Closing Remarks  

With Microsoft Build, Google I/O, and Code with Claude all happening this week, the battle between major AI labs is heating up. This episode breaks down how to think about the AI race across five key vectors: Consumer, Enterprise, Coding, Agents, and Benchmarks. Get Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Vertice Labs - Check out ⁠⁠⁠⁠⁠⁠⁠⁠http://verticelabs.io/⁠⁠⁠⁠⁠⁠⁠⁠ - the AI-native digital consulting firm specializing in product development and AI agents for small to medium-sized businesses.The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

Emily  Bender is a computational linguistics professor at the University of Washington. Alex Hanna is the Director of Research at the Distributed AI Research Institute. Bender and Hanna join Big Technology to discuss what their new book, “The AI‑Con," which they describe as the layered ways today's language‑model boom obscures environmental costs, labor harms, and shaky science. Tune in to hear a lively back‑and‑forth on whether chatbots are useful tools or polished parlor tricks. We also cover benchmark gaming, data‑center water use, doomerism, and more. Hit play for a candid debate that will leave you smarter about where generative AI really stands — and what comes next. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack? Here's 25% off for the first year, which includes membership to our subscriber Discord: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com