Podcasts about Copy

A tax problem does not always start with bad intentions. Sometimes it starts with messy records. In this episode of Small Business Finance, Tiffany Phillips explains five recordkeeping problems business owners should clean up before year-end. You will learn how payment apps, cash deposits, mixed accounts, home office records, and contractor paperwork can create problems when the numbers do not match or the documentation is weak. Tiffany also explains important 2026 reporting changes, including the new $2,000 federal Form 1099-NEC threshold, and walks through simple systems that can make January much easier. These practical tax tips can help you strengthen your tax planning, protect legitimate deductions, and build better business finance habits before filing season begins. Next Steps:

Grab a Copy of Issue 6 - Strange Catholicism here: https://www.stanthonystongue.com/margins/p/issue-vi-strange-catholicism Buy My Book, A Catechism of the Strange, here: https://www.amazon.com/Catechism-Strange-Stigmata-Relics-Miracles/dp/0829460683 Join my Patreon here: http://www.patreon.com/anthonystongue  Episode on the Mysticism of the Stigmata:https://youtu.be/Apc3Ifl1n5o Irving Houle was a husband, father, grandfather—and a reported stigmatist who experienced the wounds and Passion of Christ nightly for nearly sixteen years.In this episode, we explore Irving's strange story, the mysticism behind the stigmata, his reported healing ministry, and what these wounds might reveal about becoming more like Christ.Featured in The Margins: Strange Catholicism and explored alongside the strange phenomena of the saints in A Catechism of the Strange.

In 2014, Monolith Productions released Middle-Earth: Shadow of Mordor, an open world action game built around the Nemesis System, a procedurally generated enemy hierarchy that let every orc remember, evolve, and hold a grudge. On today's episode, David and the guys trace how the game grew out of a cancelled Batman project, dig into the Tolkien lore buried in the appendices that shaped Talion and Celebrimbor's story, and unpack how a mechanic that swept the industry's craft awards ended up locked behind a patent that outlived Monolith itself. Join us as we head into Mordor on today's trip down Memory Card Lane. Send us your feedback online: https://pinecast.com/feedback/a-trip-down-memory-card-lane/2baeba7f-dae0-4e83-bf92-51ab7482e5dbRead transcript

You spent years building your business and saving for retirement. But a large pretax retirement account can create a tax problem later if you don't plan how that money comes out. In this episode, Tiffany Phillips explains how one business owner's retirement tax plan created a projected $212,000 difference in taxes and Medicare surcharges. You'll learn how required minimum distributions, Social Security taxes, IRMAA, Roth conversions, and the widow penalty can work together. This isn't about converting everything to Roth. It's about using smart tax planning, tax strategies, and better money decisions while you still control your taxable income. If you're approaching retirement with substantial pretax savings, this episode will show you why your withdrawal strategy matters just as much as your savings strategy. Next Steps:

In honor of Sensory Processing Disorder Awareness Month, I'm going back to the basics and diving into one of my all-time favorite topics: sensory processing.In this episode, we're talking about sensory modulation, over- and under-responsiveness, sensory craving, and all eight sensory systems. We'll also look at how sensory differences can show up during everyday occupations like dressing, eating, toileting, learning, play, and transitions.But I don't want to stop at understanding sensory processing, I want to talk about how we can actually support it in practice. We'll get into proactive sensory input, movement, heavy work, sensory spaces, and helping our clients build awareness of what their own bodies need.One of my biggest reminders for therapists: instead of immediately asking, “How do I stop this behavior?” Let's get curious and ask, “What is their nervous system trying to tell me?”Whether you're newer to pediatric OT or just need a good sensory processing refresher, this episode will help you get back to the basics and think about sensory needs through a practical OT lens. This is also a great episode to share with families if they need help understanding sensory processing more!Thanks for being here

OCD Themes Are Just One Fear Loop: Why Chasing the Theme Keeps Anxiety Alive Take the FREE Assessment here: restoredminds.com/startIf you've been told your struggle is contamination OCD, harm OCD, relationship OCD, or a different type of anxiety altogether, this episode offers a different lens. Matt Codde, LCSW explains why the different OCD themes are really the same fear loop underneath.When we work at the theme, we end up indirectly feeding the loop. Fear stays in here, and the mind simply projects it onto something new. Matt walks through why intrusive thoughts and fear alone are not the disorder, and why resistance is what quietly amplifies them.If you're a family member trying to understand what your loved one is going through, this gives you a clearer picture of what's really happening. It also points toward peace, inner stillness, and freedom from fear itself.

Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

What if the biggest threat to your retirement isn't a Fed rate hike or market headline, but the emotional decisions they trigger? Steve Anzuoni breaks down what the latest interest rate increase could mean for retirees, why short-term market reactions often lead investors astray, and how diversification, income planning, and risk management fit into a retirement strategy. Steve also discusses retirement roadmaps, the importance of reducing debt, and how some retirees can position assets for income while avoiding panic during market volatility. SCHEDULE A MEETING OR PHONE CONSULTATION TODAY! Get a Copy of Steve's Book - Tee Up Your Retirement! Social Media: Facebook I LinkedIn I Instagram I YouTube See omnystudio.com/listener for privacy information.

In this episode, Chris Schaeffer (the best Google Ads manager in the world) breaks down how Responsive Search Ads (RSAs) actually work and why a "Poor" Ad Strength rating directly causes higher CPCs, fewer impressions, and lower search positions. We uncover three massive misconceptions search marketers make, including why RSAs optimize for clicks instead of conversions, why Dynamic Keyword Insertion isn't a magic shortcut for asset diversity, and why writing throwaway headlines backfires when Google only displays two lines. Plus, we explore a real-world audit example where bad ad copy triggered a costly feedback loop targeting job seekers instead of clients.To wrap up, Chris Schaeffer reveals his exact formula for structuring ad copy: a headline-pinning framework that locks in your core message while letting machine learning test your supporting features, benefits, CTAs, and trust factors. Tune in to stop wasting budget and start driving the right clicks!Try Opteo for free for 28 days - https://opteo.com/pspChris Schaeffer - http://www.chrisschaeffer.comSubmit a Question - https://www.paidsearchpodcast.comSubmit a question or comment

A Solo 401K and SEP-IRA can look similar, but the tax savings can be very different. In this episode, Tiffany explains why an S-corp owner's December payroll decisions can determine how much retirement contribution room remains for the year. You'll see how a $75,000 W-2 can create about $18,750 of employer-only contribution room or more than $43,000 when the employee and employer Solo four-oh-one-kay buckets are combined. You'll also learn why sole proprietors have different deadline rules, how other retirement plans can affect your limit, and why payroll should be reviewed before year-end. If retirement is part of your tax planning, the account you choose, your wages, and your timing can all affect your tax savings and overall tax strategy. Next Steps:

Manifest Your Abundant Dream Life: https://www.affirmationtomanifestation.com/abundance  Master Manifesting in 11 Days: https://www.affirmationtomanifestation.com/mastery

"Send me a text"At a few hundred thousand a year, compliance is a copy question. Can I say this or not. Once you're doing millions, that question is the wrong one, and if it's still how you think about compliance, you're leaving growth on the table and carrying risk you can't see. In this episode, I skip the structure-function versus disease claim basics you already know cold and get into how compliance actually works as a strategic system at scale. The core idea is that your claim ceiling isn't set by the rules, because everyone has the same rules. It's set by your proof assets and your risk architecture, and both are things you can build. I break down the four moving parts.Learn more about The Supplement Business Accelerator Group at https://creativethirst.com/groupIf you're interested in working with me and my team to improve your supplement business. You can learn more at my website https://creativethirst.comClick here to grab your copy of the Health Supplement Ad Swipe Guide.Discover what really works in funnel marketingNeed help increasing sales on your own? Click hereStuck at $1 - $5M in revenue? Click HereCase Study on how Creative Thirst added over $200,000 for one supplement brand

Our adventure starts not as agents or heroes, but as just ourselves. Our players stumble literally into the Backrooms in the most traditional way, and must navigate through the liminal horrors within to find an escape. A-Sync, the speakers, the cardboard cutouts, the mind-bending architecture: it's all here in this episode of the Backrooms TTRPG________________________Want to run this yourself? Our system is free and available digitally to all right here. Combine our simple Google Doc and Sheet links to play this with friends. Random descriptive rooms and entities are laid out easily with a built in randomizer. Rules are updated right in the Doc, so stay tuned for more content to be added!Open each link and click "Make a Copy" to save your own files for full useGoogle Doc:https://docs.google.com/document/d/1FX2fqLx1v7af6qv06LaSYxWNlAfVmIc_pihuVVS64is/edit?usp=sharingGoogle Sheet:https://docs.google.com/spreadsheets/d/125X2QqHZGATiHkq2zSe0QsxxIdtioB42Y8k7zVnuOj0/edit?usp=sharing

Ok, episode 3 of my 5 part mini series and this week we're talking about how to kickstart your Q4 and align your business with the life you want.Q4 is here and you might be feeling stuck. Overwhelmed. Like the year has run away from you and your goals are sitting just out of reach. Because your business is not the goal. Your life is.We talk about what freedom means to you and why getting clear on it changes everything. My formula is simple: your why equals alignment plus strategy. Not just a plan that works on paper, but one that fits your values and the life you want. Copy someone else's strategy and it could cost you time and money.I also dig into what's blocking you. The "I don't have time" excuse and what's usually underneath it. The overwhelm of doing too many things at once. Whether cash flow or wealth generation is right for you right now. And my own early unhealthy work habits and what I changed.Then we get practical. One core focus for Q4. One new success habit. Small, consistent steps. Because progress comes from repeated action, not from doing everything at once.If you're ready to think bigger and live freer, this is your sign. Press play, pick your focus and take your next step.How to Get Involved With The Girls in Property 

Jonathan A. Hacohen (@chosenlawyer) and Faizan continue their conversation with Mississauga mayoral candidate Alvin Tedjo, digging into how he would actually deliver on his promises. Alvin lays out his plan to freeze property taxes without sinking the city, from finding efficiencies and a hiring freeze to renegotiating Mississauga's deal with the Region of Peel and demanding more federal funding. He also makes his case for economic development in a city with 70 Fortune 500 headquarters, and takes on the shisha lounge crackdown he says unfairly targets Mississauga's Arab and South Asian communities. He closes with the personal story that drives him: immigrant parents who built a life from scratch, and the family vote that pushed him to run.SUBSCRIBE TO THE PODCAST ► https://www.youtube.com/kormans

Same content on all platforms?Copy-pasting the same post everywhere feels efficient, but with 68% of Google searches now ending clickless, that habit might be quietly sabotaging your reach. What should you be doing instead across each channel? Profit Acuity City: Center Valley Address: Concord Drive Website: https://profitacuity.com/authority-content-system/ Phone: +1 877 624 1229

0:00 Intro 0:11 Copy cat 2:54 Income 7:03 Sleeping around 10:49 Ethics 13:21 Pushed Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

Spiritual Offices #3: This message focuses on God's Divine plan to flow His love into believers and out into a lost world through Spiritual offices appointed to the Church. I highlight how the ascended Christ gave grace gifts [Gk: doma] in the form of specific ministry roles -- apostles, prophets, evangelists and pastor-teachers -- for the perfecting of the saints, the work of the ministry and the edification of the body of Christ [Ephesians 4:7-16]. I compare these foundational roles to the human body system: apostles lay the structural foundation, prophets act as the nervous system providing direct spiritual inspiration, evangelists operate as the digestive system bringing in and assimilating new converts and pastor-teachers serve as the circulatory system distributing life and sound doctrine. The crucial function of teachers is to instruct the congregation, correct false teaching and establishes believers firmly in the Word [1 Corinthians 12:28; Acts 13:1-5].  I transition to local leadership, the distinct responsibilities of elders, bishops [overseers] and deacons in maintaining congregational stability and spiritual health. Citing 1 Timothy 5:17 and 1 Peter 5:1-10, elders and pastors are urged to lead as humble examples rather than lording over God's heritage, laboring in the Word and doctrine while equipping saints to stand victorious against the devil through faith in Christ's death, burial and resurrection. I share criteria for local leaders drawn from 1 Timothy 3:1-10 and Philippians 1:1, which distinguish spiritual overseers from deacons who handle administrative and financial service, while Acts 14:23 shows Paul and Barnabas ordaining elders to oversee each assembly. Ultimately, this sermon underscores that all Spiritual offices serve to equip [mend and shape up] saints so that the church can mature, exercise Spiritual gifts in unity and demonstrate God's overcoming love to the world. Join me as I share these Scriptures for an edifying time in God's Word. Selah! [For more: Copy and Paste or Enter into ChatGPT.com, "Create a Study Guide for Episode #127 Spiritual Offices #3 from Abounding Love Ministries"].      www.aboundinglove.org

SHOW NOTES A living trust can own your business and still leave your family unable to run it. In this episode, Tiffany explains why your trust, operating agreement, buy-sell agreement, bank authority, insurance, and tax planning all need to work together. You'll hear two real client examples showing how business owners can lose control, create valuation problems, or put an S corporation at risk even when they already have a trust. You'll also learn how business strategy, tax planning, and wealth planning can help protect the company you've spent years building. If your business is one of your biggest assets, this episode will show you what needs to be aligned before your family has to deal with it during a crisis. Next Steps:

What happens when you feel completely healthy — only to discover that cancer has been quietly spreading throughout your body? This episode marks the first of a new series on the HEAL with Kelly Podcast: HEALing Stories, where we're creating more space to share real people, real healing journeys, and powerful stories of hope and resilience. In this powerful HEALing Story, Stacy Solodkin shares her extraordinary journey from an unexpected Stage 3C ovarian cancer diagnosis to being eight years out with no evidence of disease. Stacy opens up about the subtle symptom that sent her to the emergency room, the moment she was told cancer was “everywhere,” and why trusting her intuition and refusing to be sent home may have saved her life. She shares the importance of advocating for yourself, seeking second opinions, and finding a medical team that truly feels aligned with you. Stacy also takes us inside the whole-person approach she embraced alongside conventional cancer treatment — from nutrition and acupuncture to meditation and other supportive therapies — and how the HEAL documentary helped expand her understanding of the role she could play in her own healing. But Stacy's story is about much more than cancer. Facing her mortality completely transformed the way she lives. She learned to stop waiting for “someday,” release fear and difficult emotions, receive support, and ask herself one powerful question: How will I feel about this decision on my last day? Her story is a moving reminder to listen to your body, advocate for yourself, and not wait for a diagnosis to start living the life you truly want. LINKS Stacy Solodkin on Instagram @stacysolodkin Key Moments You'll Love ✨ :

Better copy starts with understanding what your customers are actually thinking, saying, and trying to solve. Joanna Wiebe explains how voice-of-customer research can uncover the language that makes marketing more relevant, persuasive, and useful—and why even a handful of customer interviews can dramatically improve your messaging. She also shares how to build a message matrix around the customer journey, use AI to organize and analyze customer insights, and avoid the trap of letting AI write generic copy for you. The goal isn't to make your marketing sound more polished—it's to say the right thing at the right moment so more of the right customers say yes. 00:00 Introduction 01:23 The Fastest Way to Research Your Customers 06:56 Why Customer Language Beats Marketing Copy 08:05 The Copy Selling System Explained 14:32 How to Train AI on Your Marketing Message 16:09 What AI Search Needs From Your Content 17:21 The Right Way to Use AI for Copywriting 20:51 Why AI Copy Still Sounds Wrong Rate, Review, & Follow If you liked this episode, please rate and review the show. Let us know what you loved most about the episode. Struggling with strategy? Unlock your free AI-powered prompts now and start building a winning strategy today!

We just hit mixtape #200 so this week, let's take it back to the first mixtape.  Sam made his desert island mix and if you'll notice, we've got clips of the songs now included in the episode.  Take a listen, and go ahead and give us a five star review just for still going this long!  Sam's desert island mix features everything from high-octane wake-up tracks and nostalgic 90s/2000s rock to late-night indie melancholy and iconic hip-hop collabs. Tune in to discover why Foo Fighters, Tool, Kishi Bashi, and Oasis make the ultimate survival guide, plus a pragmatic look at building an island society (and why you should never drink the dirty ocean water).Find it on Spotify here: https://open.spotify.com/playlist/33U8KDt0AuftvqAXmHOSHk?si=81aa4a95b6394e36 1 | Dirty Water | Foo Fighters 2 | 3 Libras | A Perfect Circle 3 | 46 & 2 | Tool4 | Narcolepsy | Third Eye Blind 5 | Anthem Part 2 | Blink-182 6 | A-Punk | Vampire Weekend 7 | Manchester | Kishi Bashi 8 | Poetic Justice (feat. Drake) | Kendrick Lamar 9 | Warm Glow | Hippocampus 10 | Your Ex-Lover Is Dead | Stars 11 | Passenger Seat | Death Cab for Cutie12 | Champagne Supernova | OasisGo to My.SuperAwesomeMix.com and start using our new app on any device - mobile or laptop.  Copy and paste a link to your playlist then turn it into an old school mixtape in minutes!  Support the showVisit us at https://www.superawesomemix.com to learn more about our app, our merchandise, our cards, and more!

Thanks to our partners Promotive, WickedFile, Maverick Shop Owners, and OverdryveDo you actually know what you'll owe the IRS next spring, or are you just hoping it works out? And if your accountant has been extending your taxes for years, is that actually saving you anything?This week, Hunt Demarest, CPA with Paar Melis & Associates, kicks off a two-part series on taxes by tackling the piece most shop owners skip entirely: tax planning. Hunt draws the line between tax preparation (backward-looking, mandatory, and reactive) and tax planning (forward-looking, optional, and the thing that actually keeps you from getting blindsided). He walks through the exact five-minute math he uses to annualize a shop's net income from partial-year numbers, why extending your return "to lower audit risk" is a myth, and the personal-return landmines, like ACA marketplace credits and phased-out child tax credits, that catch shop owners off guard even when the business side looks fine.Whether you've never run a tax estimate in your life or you just want to sanity-check what your accountant is telling you, this episode gives you the framework to stop being surprised every April.What You'll Learn…(02:29) Why this isn't the tax-saving episode you expected(05:00) Tax prep vs. tax planning: it's about timing, not paperwork(05:53) The financial-analysis cycle behind every good tax plan(07:14) Why most shops never build a real tax plan(09:08) Busting the "extending lowers my audit risk" myth(09:57) When it's time to fire your accountant over extensions(11:30) The annual tax planning calendar Hunt runs for clients(15:04) How to annualize your own net income in five minutes(17:09) Red flags: when your numbers swing too high or too low(18:27) The 25% rule for ballparking what you'll owe(19:53) Kids, credits, and the ACA surprise that blindsides shop ownersThanks to our partner, PromotivePromotive has over 40 years of recruiting and automotive experience. If you need qualified technicians and service advisors and want to offload the heavy lifting, visit https://gopromotive.com/Thanks to our partner, WickedFileTurn chaos into clarity with WickedFile, the AI for auto repair shops. Transform invoices into insights, protect cash flow, and stop losing parts, cores, or credits to maximize your bottom line. visit https://info.wickedfile.com/Thanks to our partner, Maverick Shop OwnersYou're working on growing a more profitable shop - that's critical. That's exactly what the 24-video Blueprint course by Maverick Shop Owners addresses - customers, sales, profit, people, systems, and freedom. Get free access for our listeners only at https://maverickshopowners.com/blueprintThanks to our partner, OverdryveOverdryve is your AI-powered marketing operating system. It predicts slow weeks before they happen, automatically launches revenue-driving campaigns, tracks ROI down to the dollar, and optimizes performance in real time. Visit https://overdryvemarketing.com/Paar Melis and Associates – Accountants Specializing in Automotive RepairVisit us Online: www.paarmelis.comEmail Hunt: podcast@paarmelis.comGet the FREE 2026 Auto Shop Benchmark Report: https://hubs.ly/Q04j-grh0Download a Copy of My Books Here:Beyond the Bays: A Financial Playbook for Auto Repair Shop OwnersWrenches to Write-OffsYour Perfect Shop The Automotive Repair Podcast Network: https://automotiverepairpodcastnetwork.com/Download the ARPN APP for your smartphone and listen to all our network shows: arpn.appRemarkable Results Radio Podcast with Carm Capriotto: Advancing the Aftermarket by Facilitating Wisdom Through Story Telling and Open DiscussionAutomotive Field Theory with Matt Fanslow: From Diagnostics to Metallica and Mental Health, Matt Fanslow is Lifting the Hood on Life.The Weekly Blitz with Chris Cotton: Weekly Inspiration with Business Coach Chris Cotton from AutoFix - Auto Shop Coaching.Speak Up! Effective Communication with Craig O'Neill: Develop Interpersonal and Professional Communication Skills when Speaking to Audiences of Any Size.Business by the Numbers with Hunt Demarest: Understand the Numbers of Your Business with CPA Hunt Demarest.The Auto Repair Marketing Podcast with Kim and Brian Walker: Marketing Experts Brian & Kim Walker Work with Shop Owners to Take it to the Next Level.

If you're brave enough to make your own product, you'll get copied. The branding, the packaging, even the exact colourway can be reverse-engineered. What can't be copied is why your customers chose you.When Meke Baby got copied like for like, Elysia Krstevski went legal, found it exhausting, and instead borrowed a jet and a Lamborghini to make a brand campaign no faceless copycat could touch. This Playbook is about finding the parts of your brand that genuinely can't be replicated.In this playbook, we cover three things ecommerce operators need to know about making your brand impossible to copy:Decide what you're actually defending, because it usually isn't the productCompete on being wanted, not on being firstBuild the parts of your brand a copy can't fakeConnect with Elysia Krstevski Explore Meke BabySubscribe to the Add To Cart newsletter  SMS us to Suggest a Guest Connect with Nathan Bush Join the Add To Cart Community 

Having a will doesn't mean your family will avoid probate. In this episode, Tiffany Phillips explains how probate works, why a revocable living trust can help, and the funding mistake that can make even a well-written trust useless. You'll learn what assets may pass outside probate, why business owners need to coordinate their LLC interests and accounts with their estate plan, and how poor planning can create major costs and delays for a family. Tiffany also explains how estate planning connects with tax planning, including what can happen to the tax basis of inherited property. If you own a home, business, rental property, or investment accounts, this episode will help you understand why smart strategies and wealth planning require more than simply signing a will or trust. Next Steps:

Your Instagram bio should be clear and concise, without being too clever or cutesy. Your bio should include: your identity (a concise keyword-searchable name field), your promise (a direct, single "I help" statement free of unnecessary qualifiers), and proof (social proof or credentials that establish authority). Trying to be too creative can confuse potential followers instead of clarifying what you offer. In order to attract the right audience rather than limiting it, you need to use specific and qualifying language.    Join Jill for her 30-Day Personal Branding Challenge! https://www.jillfitprograms.com/30-Day-Personal-Branding-Challenge   Jill is a fitness professional and business coach who effectively made the transition from training clients in person and having no time to build anything else to training clients online and actually being more successful. Today, Jill helps other coaches to do the same.   Connect with me! Instagram: @jillfit | @fitbizu Facebook: @jillfit Website: jillfit.com

Copy and Content coach Jim Edwards shows why a great OTO does not repair a broken first offer. It accelerates the purchase process. Most OTOs don't create the Next-Pressure / Problem & Solution PrincipleEvery meaningful purchase creates a new kind of pressure… or a new problem to solve. For instance, buy a fitness plan, and you may worry about staying consistent. Buy a copywriting course, and you may worry that your first draft is terrible. Buy a leadership program, and you may wonder how to apply it to your team on Monday morning.This leads to what I call the Next-Pressure / Problem Principle:The first sale solves the buyer's original problem. The OTO should solve the pressure of the next problem created by taking action.Your customer has moved forward. That progress reveals a new concern involving time, effort, skill, confidence, or risk.A strong OTO meets that concern.It helps the buyer get the desired result faster, easier, better, or at a lower total cost. It does not make success possible. The original offer should have already done that.Four Ways to Sell ReliefMost great OTOs fall into four categories.1. Software that helps do the workYour training shows the customer what to do. Software helps execute, organize, automate, or speed up the process.A course might teach someone to plan a follow-up funnel. The OTO could offer software that helps draft emails or build the sequence faster.The course gives them the skill. The software reduces the labor.2. Coaching that reduces uncertaintyPeople often buy a solution and immediately wonder, “What if my situation is different?”Coaching provides context, accountability, and confidence. It helps customers adapt the method instead of staring at lesson three at 11:47 p.m. while questioning every life choice that led them there.The program works without coaching. Coaching helps the buyer make decisions faster and avoid unnecessary detours.3. An evaluation or critiqueSometimes customers do not need more information. They need confirmation.A critique certificate, review session, or assessment gives them a second set of eyes. I have used this with copywriting products because a writer can finish the draft and still wonder, “Is this actually good?”A useful critique does not replace the method. It improves the customer's application of it.4. A done-for-you serviceSome buyers want to learn. Others want the result without adding another project to their plate.Your original offer can show them exactly what to do. The OTO can say, “You can do this yourself. If you would rather have someone complete part or all of it for you, here is that option.”That is convenience. It is not a ransom note.Jim Edwards show you how to do this with great success using his software programs that is truly the easy button to salescopy and content marketing.  See https://www.copyandcontent.ai

I'm 12 weeks into fatherhood, and the health operating system I've relied on for the last 20 years has been stress tested. Life is less predictable, sleep and schedules can change quickly, and the routines that worked in a different season may not be realistic right now.In this episode, I'm sharing what I've kept, what I've simplified, and what I've had to adjust while navigating a newborn, a demanding work schedule, training, nutrition, and family responsibilities. Topics discussed: - What changed when I became a father- The health habits that survived a major life transition- How I'm adjusting training schedule - Supplements, sleep, and recovery- Back on track when life disrupts the plan- Different seasons of life - Building a system ---------- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠My Live Program for Coaches: The Functional Nutrition and Metabolism Specialization ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.metabolismschool.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠---------- [Free] Metabolism School 101: The Video Series⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.metabolismschool.com/metabolism-101⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠----------Subscribe to My Youtube Channel: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://youtube.com/@sammillerscience?si=s1jcR6Im4GDHbw_1⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠----------⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Grab a Copy of My New Book - Metabolism Made Simple⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠---------- Stay Connected: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram: @sammillerscience⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube: SamMillerScience⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook: The Nutrition Coaching Collaborative Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok: @sammillerscience⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠----------“This Podcast is for general informational purposes only and does not constitute the practice of medicine, nursing or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast and the show notes or the reliance on the information provided is to be done at the user's own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment and is for educational purposes only. Always consult your physician before beginning any exercise program and users should not disregard, or delay in obtaining, medical advice for any medical condition they may have and should seek the assistance of their health care professionals for any such conditions. By accessing this Podcast, the listener acknowledges that the entire contents and design of this Podcast, are the property of Oracle Athletic Science LLC, or used by Oracle Athletic Science LLC with permission, and are protected under U.S. and international copyright and trademark laws. Except as otherwise provided herein, users of this Podcast may save and use information contained in the Podcast only for personal or other non-commercial, educational purposes. No other use, including, without limitation, reproduction, retransmission or editing, of this Podcast may be made without the prior written permission of Oracle Athletic Science LLC, which may be requested by contacting the Oracle Athletic Science LLC by email at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠operations⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@sammillerscience.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. By accessing this Podcast, the listener acknowledges that Oracle Athletic Science LLC makes no warranty, guarantee, or representation as to the accuracy or sufficiency of the information featured in this Podcast."

Fear Isn't Protecting You From Suffering. Fear IS the Suffering.Most of us believe our lower emotions are doing us a favor. Guilt keeps us "good." Anger keeps us "safe" from getting hurt again. Fear keeps us "prepared" for whatever's coming. In this episode, Matt Codde, LCSW, breaks down why that belief is the exact thing keeping you stuck, and why the emotion you're using to protect yourself is the very suffering you're trying to avoid.If you or someone you love struggles with OCD, anxiety, or the fear loop, this episode gets underneath the theme and into the mechanism itself: why the ego clings to lower states, what guilt is actually doing when you hold onto it, and what it really takes to let something go instead of just saying you have.This isn't a coping-skills episode. It's an invitation to see the trade you've been making, and to consider that you can live without it.Take the FREE Assessment here: restoredminds.com/start

#1091 What if growing your home service business slower is actually the fastest path to profit and freedom? In this episode, host Brien Gearin sits down with returning guest Mike Andes, founder of Augusta Lawn Care, to break down how home service businesses can grow without getting crushed by seasonality, overhead, or the “bigger is better” trap. Mike shares his origin story (including starting college at 13!), then dives into his practical “off-season cures” (from winter services to inverse-demand add-ons like holiday lights), how pay-for-performance compensation can drive speed and quality with the right guardrails, and why open-book management + profit sharing can align the whole team like owners. They also unpack Mike's “Copy + Paste” growth philosophy — focusing on profitability and smart capacity limits before scaling locations — plus why many operators would be better off raising prices and reducing ad dependency than endlessly chasing more revenue! (Original Air Date - 1/28/26) What we discuss with Mike: + Solving the off-season + Five “cures” for seasonality + Winter services & subscriptions + Inverse demand add-on services + Pay-for-performance pay model + Quality control & “yellow slips” + Open-book management basics + Profit sharing incentives + Copy-and-paste growth strategy + Raising prices vs. chasing growth Thank you, Mike! Check out Mike Andes at ⁠MikeAndes.com⁠. Follow Mike on ⁠YouTube⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! Get your FREE 5 Minute Business Plan at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Plan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Sponsors Learn more about your ad choices. Visit megaphone.fm/adchoices

In a world increasingly marked by division, distraction, and loneliness, what if one of the most powerful ways to reclaim meaningful connection is something as simple as pulling up a chair? In this episode, Drs. Zach & Tim Clinton sit down with pastor and author Ian Simkins to unpack the heart behind his new book, Every Table an Altar, and rediscover the sacred power of presence, hospitality, and embodied friendship. Ian shares why being recognized is not the same as being truly known, how our constant distractions may be stealing the relationships right in front of us, and what the life of Jesus teaches us about making room for people who may not look, think, or believe exactly like we do. If God has graciously invited us to His table, perhaps one of the most important questions we can ask is: Who needs to be invited to ours? Links: Find Out More About Ian: https://iansimkins.com/about Visit the Bridge Church’s Website: https://www.bridge.tv/ Pick Up a Copy of Ian’s New Book, Every Table An Altar: https://iansimkins.com/every-table-an-altar Feeling Lonely or Disconnected? Find Clinically Excellent, Distinctively Christian Care & Counsel Today: Christian Care Connect: Find a Christian Counselor, Coach, or Therapist (Version 2) - Christian Care… Discover more Christian podcasts at lifeaudio.com and inquire about advertising opportunities at lifeaudio.com/contact-us.

As one of the few people to ever fly an airshow at Oshkosh, a competition aerobatic routine, and a Red Bull Air Race, Michael Goulian has a unique perspective on flying at the edge of the envelope. In this episode, he takes us behind the scenes to share how he prepares both physically and mentally for a performance, what's unique about modern aerobatic airplanes, and what his favorite maneuver is. Michael is also a longtime flight instructor and flight school owner, so he connects the intense focus of the airshow world to the job of a primary flight instructor, with tips for improving stick and rudder skills in the age of glass cockpits. In the Ready to Copy segment, he talks about his favorite fly-in destination in New England, his pre-show playlist, and golf.SHOW LINKS:* Mike Goulian Aviation: https://mikegoulianaviation.com/* Goulian Aerosports: https://mikegoulian.com/* PJ2 GPS Radio: https://www.sportys.com/pj2-gps-radio.html

Can artificial intelligence really build your retirement plan, or is it missing the most important piece of the puzzle? Steve Anzuoni explores why AI-generated financial advice can sound convincing yet fall short when it comes to retirement planning. He discusses the value of human experience, personalized strategies, Social Security decisions, Medicare considerations, tax planning, and his Buckets of Wealth approach. Steve explains why retirement planning is about more than numbers and why flexibility, income planning, and understanding your unique goals are critical to creating a retirement strategy that fits your life. SCHEDULE A MEETING OR PHONE CONSULTATION TODAY! Get a Copy of Steve's Book - Tee Up Your Retirement! Social Media: Facebook I LinkedIn I Instagram I YouTube See omnystudio.com/listener for privacy information.

Call of Duty is done with Black Ops, and Modern Warfare 4 is the "epic conclusion" of the Task Force 141 story. We think it's the smartest call Activision has made in years. It only matters if the next series changes the game as much as jetpacks did, and a new name and new villains won't do that. We also make a prediction: Call of Duty will copy WARDOGS. It happened with PUBG and Warzone, then with Tarkov and DMZ, and now WARDOGS has sold over 2 million copies and peaked at 428,000 concurrent players on Steam. Raz guarantees Infinity Ward is already being told to build it. Also covered: WARDOGS one week into early access, the drill-spam meta, the mortar complaints, why we still think no monetization is a mistake, and the Bulkhead CEO crunch controversy (we don't see the problem). Then GTA 6 Online reportedly landing in 2027, why the PC version probably comes with it, and what GTA 6 does to MW4 and WARDOGS in November. We finish with WoW Forever, Aion 2, and an investigation into whether any elves have round ears. Raz still wins either way. 0:00 - Intro: Big Jacob of Nibiru 2:05 - Patreon hangout & Death by AI 6:01 - WARDOGS one week in: 2M sold, 428K peak 9:24 - Balance complaints & the drill meta 13:40 - There Will Be Blood is overrated 15:01 - Bulkhead devs on Twitter & the loadout fix 17:16 - Mike Tyson's impregnable defense 20:09 - You either love a game or you're good at it 23:29 - No monetization is still a mistake 30:38 - Still in the honeymoon phase 33:07 - WARDOGS CEO crunch controversy 38:26 - Treyarch is done with Black Ops 42:20 - CoD needs a jetpack-level shake-up 46:33 - Future setting vs. grounded CoD 49:24 - Prediction: CoD will copy WARDOGS 57:08 - DMZ2 is going to fail 1:01:41 - CoD fans: don't get excited yet 1:03:53 - Wolverine hand-holding & NICKMERCS on Tarkov 1:06:30 - Why extraction shooters must be hardcore 1:10:22 - Mads Mikkelsen & MW4 1:11:07 - Does Raz come back to CoD? 1:15:53 - GTA 6 Online in 2027 1:21:52 - GTA 6 PC will launch with Online 1:24:15 - What GTA 6 does to MW4 & WARDOGS 1:30:47 - WoW Forever enters beta 1:32:45 - The elf investigation 1:34:49 - Aion 2 1:37:49 - Outro _Note: timestamps may be slightly misaligned on podcast apps (but not on YouTube) due to dynamic ads._ The podcast is available wherever you listen to podcasts, and ad-free & early access versions - as well as bonus episodes - are available to all of our Patreon (https://www.patreon.com/thedropshot) supporters. We stream the podcast live on our YouTube (https://www.youtube.com/c/thedropshotpodcast) every Saturday morning at ~9 o'clock Pacific Time. We typically start the stream 30 minutes early to answer viewer questions, banter, and chat. Links for everything are below. Thanks for checking us out!

The QBI deduction is permanent, but that does not mean every business owner automatically gets the full benefit. In this episode, Tiffany Phillips explains how taxable income and W-2 wages can limit your Section 199A deduction and why Q4 tax planning matters. You'll follow a real-world example of an S corporation owner with about $300,000 in qualified business income and see how year-end decisions affected a potential $60,000 deduction. You'll also learn why your spouse's income, retirement planning, payroll, and other household income can change the calculation. Smart tax strategies happen before the year closes, not when your return is prepared in April. If tax savings and better tax planning are priorities this year, listen now while there is still time to act. Next Steps:

Tickets for AIE NYC now open, and apply for the invite-only AIE CODE. Join us!We have an unusual relationship with today's guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped every mode other than autoregressive chat-tuned LLMs because of the overwhelming success of ChatGPT.In a launch video now viewed ~40M times (by comparison, GPT4o was 22M, Fable 5 was 15M, Navier Stokes was 74M, and 6 Astra was 137M), Diogo introduced Jev and it immediately took over the AI timeline — we'll skip full Jev explainers because your favorite AI influencer/educator has probably already done one. We also collected:* the official patterns and cookbooks you should see first, from Allie* Jev usecases* speed based - games and computer use* the voice + computer use example we discuss at 1h34 mins* voice + browser control* The must not miss Doom demo* Driving cars in games* Excalidraw* virtual try-ons* “Smart Games”/smart NPCs* guided responses in text messages* Jev for coding agents has an official guide * jev for linting* compacting tool calls* reasonable pushback from Theo - Diogo has published a note on the Tyranny of the KV Cache that you should read as a followup after the pod for Jev + coding agents, because of his belief that Cache Rules Everything* Programming Languages built atop Jev (Diogo's fave)* Jev for analytics replay and user journey review* “dark data”* entity resolution* natural language search* “smart software”* a core goal of Jev is to “disappear into the background” - eg as unremarkable as regex* Jev as a judge* Jev memes* Jev vs LLM capabiltiies* blending transformers and classifiers* about the confidence api* Jev vs GLiNER (note difference/pushback, agreed, agreed, agreed)* Jev on trolley problem* Jev BushInstead we'll focus on what we can uniquely offer — a broader philosophical and mission-based understanding of how and why Jev was created, and what you should expect next in terms of future models from TypeSafe (ReasoningJev?) and what usecases and ideas you should work on vs the 55th low effort clone of Jev's API or doing a generic JevBench benchmark - something Diogo has rejected publicly.Why RLCD: Three kinds of RLHF, and why they are ALL the wrong north starDiogo knows a good deal about RLHF, given that he was on the team that pioneered post-training at OpenAI — and traces the three branches to Christiano et al 2017 (the robot backflip demo), Stiennon et al 2020 (learning to summarize) and his baby, Ouyang et al 2022 (InstructGPT). From there on, every innovation from Function Calling to Structured Outputs to Reasoning felt like a hack on top of the string based, sequence to sequence prediction paradigm. As he mentions on the pod, from 2023-2024 he struggled unsuccessfully, due to both personal and organization underestimation, to train a model that accurately addressed what he saw as the core problem with making LLMs the heart of software: reliability.Jev's core innovation is "Reinforcement Learning for Calibrated Decisions”, a novel, unpublished technique that optimizes for “answers with epistemically honest probabilities on System One tasks” rather than human rated feedback (RLHF) — which causes hallucinations, sycophancy, and permanent reliance on humans — or programmatically verifiable outputs with rubrics (RLVR) — which solves Navier Stokes but exacerbates jagged intelligence and doesn't integrate well with other software.We've talked about the calibration problem before on the pod, but probably the single best place to understand why RLCD became necessary is Diogo's AIE talk, which discusses why a generation of training helpful AI assistants for humans has impaired them for training models for composable, programmable AI for automation.At the end he also teases his contrarian opinion on scaling laws - which teases how to build a modern neolab without the billions of dollars the major labs have…The Bitterest Lesson: Tasks and Data beats ComputeWe spend a good amount of time discussing Diogo's essay on the Bitterest Lesson:His point is that “You get what you optimize for and the bitterest lesson in ML is that the most important part of it isn't ML at all.” - and picking the right north star, eg upvoting for user preference vs being integrated into tool calls - makes everything else fall in line.We're excited to catch up with a freshly dyed Diogo to discuss:* Why AI can solve extraordinarily hard problems but still fail to automate basic work* What System One Models are and why Jev is built for software rather than chat* RLHF, mode collapse, calibration, and the hidden costs of optimizing for human preferences* Why refusals become a problem when AI is buried inside software dependencies* Why TypeSafe rejects public benchmarks and optimizes for intelligence per dollar* The “bitterest lesson”: why the right task and the right data can matter more than compute* Why TypeSafe thinks of itself as a data lab rather than a model lab* RLCD vs. RLHF and RLVR as fundamentally different North Stars for AI* Why reliability and robustness matter more than simple determinism* Jev's programming primitives and how intelligence maps into software control flow* Why developers should decompose AI workflows into small, measurable decisions* How structured state replaces giant prompts and system messages* Why Diogo thinks AI should eventually disappear into the background of software* The “inverse SaaS-pocalypse” and how AI could supercharge existing software* System One vs. System Two intelligence and the limits of reasoning models* Dark data, computer use, real-time intelligence, and Jev's biggest early use cases* Why Jev could reshape coding agents built around a single-model architecture* Why Diogo says he wouldn't pre-train with $1 billion* The OpenAI journey that led to TypeSafe and why he thinks many neo-labs are approaching AI incorrectly* Coding agents beyond the KV cache, shared state, sub-agents, and the multi-agent futureDiogo Almeida* LinkedIn: https://www.linkedin.com/in/diogomda* X: https://x.com/CompleteSkeptic* TypeSafe AI: https://typesafe.ai/Timestamps00:00:00 Jev Launch Week and the AI Economic Revolution00:02:50 What Is Jev? System One Models and Programmable AI00:05:54 RLHF, Mode Collapse, Calibration, and Yann LeCun00:10:29 Programmatic AI, Refusals, and Safety Alignment00:17:21 Why TypeSafe Rejects Public Benchmarks00:20:43 The Bitterest Lesson: Data, Compute, and the Right Task00:24:59 RLCD vs. RLHF and RLVR00:28:42 Why Powerful AI Still Hasn't Automated the Economy00:39:55 Reliability, Robustness, and Determinism00:48:11 Model Versioning, LTS, Speed, and Intelligence per Dollar00:54:04 Inside Jev's API and Programming Primitives00:58:28 How to Build with Jev: Structure, Decomposition, and Small Decisions01:18:28 The Inverse SaaS-pocalypse and AI Disappearing into Software01:33:21 Computer Use, Dark Data, and Jev's Biggest Use Cases01:38:48 How Jev Could Reshape Coding Agents01:41:00 AI Safety, Frontier Pacing, and the Limits of RLVR01:48:03 Why Diogo Wouldn't Pre-Train with $1 Billion01:55:19 The OpenAI Story Behind TypeSafe02:01:41 Why Diogo Thinks Most Neo-Labs Are Getting AI Wrong02:08:00 Coding Agents Beyond the KV Cache and the Multi-Agent FutureTranscriptIntroduction: Jev Launch Week and Developer MomentumSwyx [00:00:00]: Okay, we're in the studio. A special occasion because this week, Diogo, my good buddy, launched Jev, and it's been taking over the complete timeline. How do you feel? What's it like to be you right now?Diogo Almeida [00:00:16]: Emotionally?Swyx [00:00:17]: Yeah.Diogo Almeida [00:00:17]: Never been worse. Like, I'm a ragged corpse of a person right now because there's so much going on, and I'm like a technical CEO, so I have, like, a lot of fires to fight.Swyx [00:00:29]: Yeah.Diogo Almeida [00:00:29]: But mentally, I feel—I say this all the time, and I've been saying this kind of for years in my over-under events. Like, I feel like the entire AI field is like one of those, like, carnival house of mirrors, and everyone is just insane and saying the weirdest stuff that doesn't make sense. And it feels like for just this week, like, I'm on a better in sync with reality and like, oh, people see it now. AI can be so much more than what was once thought.Diogo Almeida [00:01:06]: And like, yes, we are going to make. Like, an AI-based economic revolution is back on the table, and this is f*****g awesome.Diogo Almeida [00:01:17]: I'm so jazzed the developers get it. It's, it's, Yeah, and I want to show my eternal gratitude to the developers andSwyx [00:01:25]: Yeah.Diogo Almeida [00:01:26]: I'm so jazzed about the community and everything. It's so great.Swyx [00:01:28]: Yeah, you were saying yesterday that you decided to prioritize the town hall and not a bunch of, like, VIP, investor-type people because you wanted to make sure that they are the people that you get your most, attention, right? The engineers, the developers.Diogo Almeida [00:01:43]: Yeah, it felt a little like, oh man, I'm talking to, like, really important people right now.Swyx [00:01:47]: Yeah.Diogo Almeida [00:01:47]: I probably shouldn't reveal who.Swyx [00:01:48]: Yeah.Diogo Almeida [00:01:48]: But it feels a little bit dirty for me to, I'm, like, perhaps overly genuine in things. Like, it feels, like, dirty if, like, in my gigantic calendar event of people to talk to, the community isn't one of those.Swyx [00:02:04]: Yeah.Diogo Almeida [00:02:04]: And actually, in my ideal world, it would be, like, community all the time. I was thinking, “Should I host a town hall while walking to your studio?” And I'm like, “No, that's too crazy.”Swyx [00:02:12]: Sure. Yeah. Well, you guys have been hosting town halls on Discord. Discord is now 100,000 people. Your Twitter'sDiogo Almeida [00:02:19]: I don't follow these stats.Swyx [00:02:20]: Yeah.Diogo Almeida [00:02:20]: So holy s**t.Swyx [00:02:21]: Your Twitter's blown up. It was, it was really funny ‘cause, like, at AIE, you were like, “Yeah, follow me please,” and then you didn't, like, provide even your handle.Diogo Almeida [00:02:29]: I'm a noob. I'm a noob.Swyx [00:02:29]: You're such a noob.Diogo Almeida [00:02:30]: I'm a noob.Swyx [00:02:31]: But no, but that, like, that's, like, positive aura that, likeDiogo Almeida [00:02:33]: CoolSwyx [00:02:33]: You don't know how to promote yourself.Diogo Almeida [00:02:35]: Yeah. Someone, like, called me out when I posted, like, “Holy s**t, we're all three twending-- trending topics.” And then they're like, “That's a personal feed.”Swyx [00:02:42]: That's a personal, yeah.Diogo Almeida [00:02:43]: And I'm like, “Oh, no.”Swyx [00:02:44]: Of course, of course it'll trend to you.Diogo Almeida [00:02:45]: Cringe. Yeah.Swyx [00:02:45]: Yes, ‘cause it's what you clicked on.Diogo Almeida [00:02:47]: Yeah.Swyx [00:02:47]: So okay. Let's, Yeah, so congrats on everything.What Is Jev? System 1 Models and Intelligence per DollarDiogo Almeida [00:02:50]: Thank you.Swyx [00:02:50]: We'll talk about more, details as you have them. But let's, for people who are, like, living under a rock or just want, like, the definitive thing, what is Jev?Diogo Almeida [00:03:02]: Whew. Let me think about. That's a hard one.Swyx [00:03:07]: Okay. And I'm happy to, like, re-ask if you wanna kind ofDiogo Almeida [00:03:09]: No. I'm happy toSwyx [00:03:10]: OkayDiogo Almeida [00:03:10]: I'm happy to, like, just jam on it.Swyx [00:03:12]: Yeah.Diogo Almeida [00:03:13]: I will say, like, the first thing that I'm relieved about with this question is now I don't have to answer that question to my parents anymore ‘cause ChatGPT can just explain it.Swyx [00:03:20]: Nice.Diogo Almeida [00:03:21]: So the way I see it is we new-- need a new class of models. We're not attached to naming that class of models. Our-- the most accurate name we've come up with is System 1 models.Swyx [00:03:33]: Yeah.Diogo Almeida [00:03:33]: There will be reasons, but it's-- there's a reason why we don't call them decision models, because, like, they will be. Like, System 1 is beyond that. That's all I can say. We didn't expect this to be our big launch, so we have stuff in the tank.Swyx [00:03:48]: You should have said low-key research preview.Diogo Almeida [00:03:52]: It kind of was, right? It kind of was. But we. So there's a class of models that we describe them as, like, machine-native, System 1, large programmable. I think these are-- is the class of models where the goal is for code to be the consumer. So as opposed to, lar-- pre-trained large language models, which are meant for, like, autocomplete of the internet, or RLHF models, like chatbot instruction-following models, which are meant to, like, reply to text, or RLVR. It's in a weird gray area with RLHF. Like, these are meant to have things that directly are consumed by code, hence the name type safe. So the thing we really want is to have, like, AI, like, be as powerful as possible, and we think the way to do that is to integrate it with software. And we are designing everything, beyond just the outside, the deep internals of the model to be optimized for software. So number one, Jev is our first large programmable model, or a System 1 model, whatever you want to call it. Jev is meant to be optimized for intelligence per dollar, hence the name Jev.Swyx [00:05:03]: Jevons Paradox.Diogo Almeida [00:05:03]: Jevons Paradox, yeah. And it's optimized for intelligence per dollar. I love this debate with people about what is the most important between reliability, cost, calibration, and speed. And Jev is meant to be. Jev will be the name of models that will be on the frontier of intelligence per dollar. There's other ways to optimize it, like, ML, or at least if you're good at ML, it's all about trade-offs. And we are just going all out on that.Calibration, Mode Collapse, and the Limits of RLHFSwyx [00:05:31]: Yeah. And to me, like, calibration is one of the new things that people weren't talking about as much. We've done an episode In the past, with Clementine Foreia of Hugging Face, where they were like, “Yeah, actually, y- they're just.” Or, and this is your whole argument about RLHF, is they're more collapsing towards what you want to hear the mostDiogo Almeida [00:05:50]: OohSwyx [00:05:50]: Or what is most likely, instead of, like, their own internal confidence about a thing.Diogo Almeida [00:05:54]: Can I soapbox on that for a second?Swyx [00:05:56]: Go ahead. Yeah.Diogo Almeida [00:05:57]: Cool. Like, I've been heard that your audience is the most technical, so I actually want to get into that.Swyx [00:06:02]: Yeah.Diogo Almeida [00:06:03]: And if- I went through extreme precision to make sure everything in our launch video is accurate and real. Apparently, that's very unusual. One of the things that no one paid attention to was the downsides of RLHF, in particular mode dropping.Swyx [00:06:17]: Mode dropping or mode collapse?Diogo Almeida [00:06:19]: It's the same thing.Swyx [00:06:19]: Is that what you call it?Diogo Almeida [00:06:20]: It's the same thing.Swyx [00:06:20]: All right.Diogo Almeida [00:06:21]: And I wanna have a blog on this eventually, but I, like, want to tell as many people this as possible ‘cause I think it's a very interesting thing. So the spicy take, I believe in Yann LeCun a lot. I think Yann LeCun's takes are actually among the closest toSwyx [00:06:36]: What about this?Diogo Almeida [00:06:37]: Well, should I address this now or should I wait and go into mode collapse?Swyx [00:06:40]: No, later. Go mode, go mode collapse. I don't know.Diogo Almeida [00:06:42]: So I actually think that among takes, Yann LeCun's is among the most accurate. But he has this very famous/infamous slide about,Swyx [00:06:52]: The cake?Diogo Almeida [00:06:53]: LLMs are doomed.Swyx [00:06:54]: Okay.Diogo Almeida [00:06:54]: Like that one where he, like, has, like, a pie chart with, like, a tiny par-- tiny little thing- and says that as you increase sequence length, the probability of it making an error goes in. Yes, this one. This one. I love this one, because it's one of these things that seems mathematically obvious, but is obviously wrong, right? Like, it's mathematically obvious, but it doesn't empirically hold. And this is my favorite thing to teach people about, like, where youSwyx [00:07:21]: What's the disconnect, right?Diogo Almeida [00:07:22]: Exactly. And may I or you want to tell me?Swyx [00:07:27]: About mode collapse?Diogo Almeida [00:07:28]: Oh, no. Oh, so mode clop-- collapse is related to this.Swyx [00:07:31]: Yeah.Diogo Almeida [00:07:31]: The disconnect happens because if you are in a mode covering or a calibrated distribution, you are, like, not. You are not overly punished about having outliers. You'd expect, like, something. Some amount of the time you'd be out of distribution, some amount of time you'd be in distribution. That's what happens when you cover the distribution. This was like models before GANs. They made blurry images, right?Diogo Almeida [00:07:54]: Instead, GANs mode drop. They, like, drop the minority classes and just do the really common ones. And this is why this effect doesn't happen, right? Like, instead of be-- in order to generate really long strings, without making errors, they need to, like, be extremely conservative because it's e- really easy to see when an error happens. It's very hard to see when, like, a subtle thing that looks correct happens. And that calibration is, like, total poison into, like, the probability distributions of strings.Swyx [00:08:22]: Yeah.Diogo Almeida [00:08:23]: And it's, it's a nuanced take and like, I think that This is why this doesn't happen, and this is why strings are so bad at, decision-making or, overloading the string models are for decision-making is, like, a bad time.Yann LeCun, JEPA, Scaling Laws, and Practical ResearchSwyx [00:08:38]: And while we're on the topic of Yann, do you agree that his fix i- with-- which is like a world model, like a JEPA-type, embedding thing is the right solve? So basically, like, the. One of the reasons that it could fail is because you're trying to reason over token outputs and then, and then just looping back again and going. Keep, continuing going until you reach, like, a end of sentence. Like, is that, And his solve is JEPA, right?Diogo Almeida [00:09:02]: Yes.Swyx [00:09:02]: Which is, like, joint ambition,Diogo Almeida [00:09:04]: YeahSwyx [00:09:04]: Joint embedding prediction. So like, is that the solve or, like, do you have a. Do you have a take on that?Diogo Almeida [00:09:10]: Oh, man. I probably shouldn't talk too much about the insides of ML, but I will say that my brand, other than unhinged, is practical.Diogo Almeida [00:09:20]: Like, even my take here is practical. And like, I'm. Am I a scaling law fan? Depends. It dep-- it's, it's, it's, like, it's. Scaling laws tell you how much better you get at a thing for amount in.Diogo Almeida [00:09:33]: A scaling law does mean exponentially more resources for normally sublinear gains, which looks to be a bad investment unless those, like, linear gains are, like, really valuable. But it's all. To me, it's all about, like, what can we do with what we have to make the biggest possible f*****g difference? I can curse.Swyx [00:09:51]: Yeah.Diogo Almeida [00:09:51]: Yeah.Swyx [00:09:52]: Yeah.Diogo Almeida [00:09:52]: Yeah.Swyx [00:09:53]: We're, we're, we're approved for adults.Diogo Almeida [00:09:54]: Hell yeah.Swyx [00:09:55]: And also we have a scaling law thing if you wanna go into that later.Diogo Almeida [00:09:58]: Oh, I could if we. See, that part is not super relevant right now.Swyx [00:10:02]: Yeah.Diogo Almeida [00:10:03]: I actually. If you wanna go into my bitterest lesson, I think that's more relevant.Swyx [00:10:06]: Okay.Diogo Almeida [00:10:06]: But like, to me, I'm all about, like, pragmatics. And I think that the JEPA stuff is really cool early research. I really love awesome research. Is it practical yet?Diogo Almeida [00:10:21]: Probably shouldn't say. But like, there's just a lot of.Diogo Almeida [00:10:29]: I just think there's just, like, so many diamonds in the rough let all over the research world right now that haven't been polished because people don't know how to, like, do the right task. And I think that what our launch did, it. Does it kickstart us as a company? Like, yes. Will it be great for us as a company? Yes. I think it's gonna be, like, even greater for this direction of, like, programmatic AI. There was going to be, like, a gold rush on top of us for. ‘cause, like, software is super f*****g charged. But I think there's gonna be a gold rush parallel to us as well on, like, all the different ways we can expose things to make software more powerful so people can make even cooler stuff. And then we are back to, like, early internet energy?Swyx [00:11:12]: Yeah.Diogo Almeida [00:11:12]: And I think that's why, like, the Twitter is just like, “Jev.”? It's, it's like. It is a partySwyx [00:11:18]: It's inspiring because it's, it's, like, so different than what we're used to, which is, “I'm sorry you can't do this, but we do scaling laws and only the big labs can do it,” right?Diogo Almeida [00:11:28]: That. Actually, if I. I'll, I'll make a tangent if that's okay.Swyx [00:11:32]: Yeah.Diogo Almeida [00:11:32]: I think you might enjoy this.Swyx [00:11:33]: Really? Our five tangents in. It's good. It's fun. Yeah.Diogo Almeida [00:11:35]: Oh, yeah. I get lost at all my tangents.Swyx [00:11:37]: This is gonna be horrible for the listeners to figure it out, but they're gonna figure it out. It's fine.Safety Alignment, Refusals, and API PhilosophyDiogo Almeida [00:11:40]: Yeah, we can edit it in post.Swyx [00:11:40]: This is my response. Yeah.Diogo Almeida [00:11:41]: So popular thing on Discord, that people keep asking me, I haven't had the time to explain it yet, is why am I opposed to safety alignment and why do we not refuse? I'm not opposed to safety as a principle, but I think that safety alignment is generally misaligned with users. And refusal is just, like, obviously a type error. Like, if you're a human being and you're chatting with, like, a bot or whatever, you're cloud coding, and a refusal happens, like, “I'm sorry, I can't read DNA.py.” that's an annoying time. It's anno- it's, it's annoyingDiogo Almeida [00:12:18]: Right? But you can work with it, right? And you're forced to work with it ‘cause of Stockholm syndrome.Diogo Almeida [00:12:23]: I have stories about that too. I need another tangent deep in here. But like, if you ever want this in a dependency running in the background, what happens if that refuses? What if someone else is using that dependency? They don't know what that system is. Like, you want the software to just stochastically break because a user sent, like, a weird message in there?Diogo Almeida [00:12:42]: Like, that is, like, straight-up insanity. It's coming from a place of, like, people who do not understand software, do not understand programming, and like, they are obsessed with, like, I believe this, horseless carriage of, like, AI coworker instead of unearthing, like, the full power of AI.Swyx [00:13:01]: Fair enough.Diogo Almeida [00:13:01]: Yeah.Swyx [00:13:01]: You want something that is the core kernel that is usable everywhere.Diogo Almeida [00:13:05]: Yes. Exactly. Like, the cognitive core, right?Swyx [00:13:07]: Yeah.Diogo Almeida [00:13:08]: And you need this thing to be s- like, so general, so optimized for its use cases. You want it to be, like, you want it to work on all the future use cases, all the weird s**t that people are doing.Swyx [00:13:19]: Yeah.Diogo Almeida [00:13:19]: We obviously didn't train on any of that stuff. Is it surprising that it works? No, ‘cause we trained on weirder stuff, my friend.Diogo Almeida [00:13:28]: So. But one tangent up about, like, safety alignment.Swyx [00:13:32]: Okay.Diogo Almeida [00:13:32]: Safety alignment makes sense for a product, in my opinion, for, like, ChatGPT and Claude. Like, it, What safety, what makes safety and capability alignment different is capability alignment is, like, about doing what the user wants. That is sick for software engineers. They want their thing to do the thing, and the more predictable it is, the less they have to test it and play around with it. Jeb is not anywhere close to that yet. It could be, but like, there's so many more nines of reliability that we want in order to make it so good, like a database query, that you don't even have to think about it. It is just there when you need intelligence. But safety alignment is, like, the opposite of instruction following. It's when you want to follow someone else's instructions, like OpenAI and AnthropicSwyx [00:14:13]: The RAGs value stack.Diogo Almeida [00:14:14]: Exactly. And this makes a lot of sense for a product. Again, like, ChatGPT should do. Y- you sh- like, if they don't want to, like, do, like, some, not-safe-for-work role play with ChatGPT, that's on them because, like, maybe that's, what their users who have, like, parents and kids want. Like, n- that's fine. But in an API, that's nuts, right? Like, that's completely unacceptable because, like, people need to, like, program around this, and that is, that's so anti-user that it's. It. I'm. Huh. I can be an angry person, so I should try to calm down.Swyx [00:14:52]: It's, People get your passion, and I think that's really good. The one pushback I'll give you is, like, what if we use it to kill people, right? Like, that is the actual. Like, n- the not-safe-for-work thing, it's private, personal, whatever. But like, yes, like, we will use it in war. And like, that is, something that companies can reasonably prefer their APIs not be used for.Diogo Almeida [00:15:14]: I get that. I think that there's, like, pragmatic places where that opinion can be held. I don't think the foundation of, like, a general-purpose technology is that place, personally.Diogo Almeida [00:15:27]: Like, would I prefer that our stuff is not used to kill people? Obviously. Would I prefer it's used for, like, all sorts of, like, great stuff in the world? Obviously. Will I put my thumb in the scale for that? Yes. Will I do it at the technological layer? Absolutely not, because that will fracture the intelligence. Every single time you mean it to overfit to some weird stuff, you're fracturing its intelligence more and more. And like, these things are fractured to the, like. They're so darn fractured right now.Swyx [00:15:54]: Yeah.Diogo Almeida [00:15:54]: So and as a furthermore thing, to me, it's like I think intelligence will be more like a database than a coworker. Like, I don't think it's up to databases to add checks on whether or not they're used for, like, what's something that's not great? Like, CIA. Actually, I don't know what the CIA does, really. You can imagine. You can imagine, killing people who are not even bad or whatever.Diogo Almeida [00:16:21]: And like, I don't think it's the database's responsibility for that. And furthermore, like, a thing that has been weird to me is when people, like, sign up for our thing on Slack and they're like, “Hey, we're gonna deploy this. Can we deploy this thing?” I am just like, “My brother, we are an API. You are a developer. It's none of my business,” right? Like, you shouldn't know what the whole task even isSwyx [00:16:46]: YeahDiogo Almeida [00:16:46]: Because it should be decomposed into small things. We shouldn't be able to know what the downstream users are doing, and that is, like, a good boundary to give software engineers maximum power. Ideally, they use it for the good stuff, and ideally, we can, like, help them and like, we've talked about, like, doing open source and charity and all of that. We have absolutely no time for anything else right now. But like, they will get any of that bias out of the technological layer as long as I'm in charge.Privacy, Benchmarking, and Trusting IntelligenceSwyx [00:17:11]: Yeah, that's great. While we're on the topic, let's also briefly talk about your privacy stuff, terms of ser- terms of use, which, got a little bit ofDiogo Almeida [00:17:18]: OohSwyx [00:17:18]: Misunderstanding. I just wanna clarify that upfront.Diogo Almeida [00:17:21]: Hell yeah.Swyx [00:17:21]: I think this probably takes two sentences from you about, like, you will not. You're not being that restrictive about your API. Like, clearlyDiogo Almeida [00:17:27]: Oh, yeah. Oh, yeah, so yeahSwyx [00:17:27]: Ideologically, you articulate your role as a platform very seriously.Diogo Almeida [00:17:30]: Yes. Yes. I don't know what you're referring to, but like, this was. I've seen a couple of things about, like, benchmarking.Swyx [00:17:38]: Yes.Diogo Almeida [00:17:38]: Like, obviously we're not stopping people from do. Oh, man, I should be careful about what I say. I'm realizingSwyx [00:17:43]: No, you said, you said it publicly thatDiogo Almeida [00:17:44]: YeahSwyx [00:17:44]: That was in the preview period. You didn't take it out for the launch.Diogo Almeida [00:17:47]: Yeah. Okay.Swyx [00:17:47]: And now you're gonna take it out.Diogo Almeida [00:17:48]: So the team is doing stuff thatSwyx [00:17:49]: YesDiogo Almeida [00:17:49]: I'm not even aware of, so it's great to know the team communicated that. I asked them to check in with the lawyers about that.Swyx [00:17:54]: Yeah.Diogo Almeida [00:17:54]: Like, we are obviously not stopping people from doing that type of thing. I'm extremely in favor. So I'm extremely anti-public benchmarks. I'm extremely in fa- I'm medium about private benchmarks that are proxies. ISwyx [00:18:09]: So are you worried about, saturation or, like, training on public benchmarks? So it's, like, easy to cheat.Diogo Almeida [00:18:15]: Not only is it easy to cheat, there's a lot of ins. So I think that we are. Or anyone who's, like, competition with us that, vaguely there is. Like, you could say, likeSwyx [00:18:28]: There's like 50 Jev clones, yeah.Diogo Almeida [00:18:30]: Well, sure.Swyx [00:18:31]: Yeah.Diogo Almeida [00:18:32]: Well, the, these. Let's say that there is competition.Swyx [00:18:34]: And we'll talk about those. Yeah.Diogo Almeida [00:18:34]: Or let's just say that there's. Let's just assume that there's an industry two years from now of people who are doing similar things to us. The thing that we are selling is intelligence per something, per, like, dollar or per second. The. No one. Like, people obsess about the cost and the speed. I believe that is. It's cool, but like, the thing that matters is the intelligence. Like, the cost and the speed are, like, are bad things. You're paying them for something, and you need the thing back, and the intelligence is what truly matters. The problem with intelligence is that there's a je ne sais quoi to it, right? Like, the good model smell. Like, the thing that happened after we launched of, like, two hours later that actually went way bigger than the video, which was like, “Holy s**t.”Swyx [00:19:16]: This is actually usable.Diogo Almeida [00:19:17]: It. WellSwyx [00:19:17]: Yeah.Diogo Almeida [00:19:17]: It's, like, beyond that.Swyx [00:19:20]: Yeah.Diogo Almeida [00:19:20]: Like, the. Whew, the launch was crazy, and people could really sense how hard we care about that, and that's truly what I think the long term of this is. And I think public benchmarks are antithetical to this. Like, they are a way to get people trust in intelligence because intelligence has a je ne sais quoi, but the public benchmarks are extremely gameable. Even if they try not to, they still will. Like, back in the old days, every lab had a team to collect data that looks like MMLU to make it look better, which is just benchmarking with extra steps.Diogo Almeida [00:19:58]: So I believe that in the long run, it needs to be vibes and trust until you put it into a workflow and evaluate it for that workflow and measure it and have your own sense of, like, how it does on the exact workflow that matters. And our job is to keep moving the nines of reliability. This is like an ever-present part of o- of what we need to be doing as a company, and we need to do everything to have people know that this is something we care so much about. Like, if we wanted to, we could have released Jev, like, a year and a half ago if we wanted it to be dumb.The Bitterest Lesson: Tasks, Data, and North StarsSwyx [00:20:34]: Oh.Diogo Almeida [00:20:34]: It. Like, the. My bitterest lesson, right? Like, architecture and Yeah.Swyx [00:20:40]: I'll bring it upDiogo Almeida [00:20:40]: Hell yeahSwyx [00:20:41]: Since you, since you talked about it, here.Diogo Almeida [00:20:43]: Hell yeah. T- like, Sutton says that algorithms beats compute very roughly. Data matters way more than compute, obviously. And doing the right task, having the North Star is the hardest, most important thing. This has happened, in LLM land twice so far, right? Maybe 2.2 times. There's RLHF, which, like, shifted the task to instruction following. No one realized that was possible. RLVR did, like, a tiny little, like, edit to the, to the direction, and now us, right? RLCD. We have a new task, and the goal is, programs in the loop. And yeah, data matters soSwyx [00:21:28]: RightDiogo Almeida [00:21:28]: Unbelievably much.Swyx [00:21:29]: SoDiogo Almeida [00:21:29]: Like, I can't, I can't emphasize it less.Swyx [00:21:31]: Yeah, you consider yourself a data lab rather than, like, a model lab. Is thatDiogo Almeida [00:21:35]: AbsolutelySwyx [00:21:35]: Something. That's the wording you guys use?Diogo Almeida [00:21:37]: Yeah. We are. We will always, like, care so much about data. To me, model capabilities means data. Data is so unbelievably complicated, and that is what gets nines. Like, you have no idea how much data can shift everything. Data is so important.TypeSafe as a Data Lab and Synthetic Data StrategySwyx [00:21:57]: Yeah.Diogo Almeida [00:21:57]: Holy crap. So if people are looking for a job, we are hiring infinite data people, actually infinite.Swyx [00:22:04]: What is a good data person? Like, clearly somebody who cares about reading through the transcripts of, whatever. You've said, for example, that y- all your data is synthetic.Diogo Almeida [00:22:15]: Yep.Swyx [00:22:15]: But that's only, like, the scratching the surface, right?Diogo Almeida [00:22:18]: Yeah.Swyx [00:22:19]: Like, it's not. Like, synthetic, so what, right? Synthetic, but we have people with a lot of taste and a lot of care looking at, looking at these, articulating what's wrong, going back, regenerating. Is that what a good data person is these days?Diogo Almeida [00:22:31]: Let me try to figure out how to. Like, it's, it's super complicated, and like, I literally onboard the data people with a Talk that I assume is longer than this podcast will end up being. So I will try to say, like, the high level of it. So number one, we don't do the kind of synthetic data that people ki. Well, I'll do. Actually, number is zero. Data and synthetic data depends on your task. Like, the shape of your data. The shape of your task changes the data. Like, RLVR's data is kind of environments, right?Swyx [00:23:03]: Yes.Diogo Almeida [00:23:04]: RLHF's is the human feedback? Each task has its own unique kind of data, and we, of course, have our own unique kind of data, right? So number one, we have that. Number two, the thing I. The reason why we don't want to train on our users' data, even if we could, right? Like, we could probably ask for any terms right now, and it will. We. I don't know if it would make a difference. We truly don't want that, because no matter what, the real-world data has so much bias. There's, like, a power law of, like, people, like, asking the same things where you'll end up, like, overfitting to it and like, fracturing to it and all of that. And number two, we are, like, aiming for, like, a complete sci-fi future years from now where, like, these models are going to be, like, the general infrastructure, layers and layers and layers and deep down the stack to, like, things people can't even imagine. Like, I would like to think of our model, like, kind of like, UDP as LLMs and TCP as our models. All sorts of stuff can be built on top of that, and we need to be able to nail those futuristic use cases such that software developers can actually build that futuristic stuff. And the way to do that is even if we had all of the data of the present, we would just overfit to the present, and then it wouldn't work. What we need is to, like.Diogo Almeida [00:24:21]: It almost feels like a. Like, they're the artists? They study this cognitive core. Our cognitive core is, like, way less jagged than anyone else's. And then they find the jaggednesses, and then they address them surgically in a way that. And you can never perfectly do this, right? But they do it in such a way that it addresses it in every single possible, like, dimension, past, present, future.Swyx [00:24:45]: The general case rather than the specific case.Diogo Almeida [00:24:47]: Exactly. And like, that requires a lot of intelligence every time.RLCD vs. RLHF: Defining a New TaskSwyx [00:24:50]: Okay, so we mentioned a little bit. You sort of criticized my thinking as r-- like, very RLVR influence, which is, like, very fair. Let us actually mention RLCDDiogo Almeida [00:24:59]: OohSwyx [00:24:59]: Which obviously you have some secret sauces to our knowledge. You've never actually published a paper or anything like that on it. No, right?Diogo Almeida [00:25:05]: No, not yet.Swyx [00:25:06]: But like, what should people get from this? Like, what. Can you give people some confidence that you're just not just making up jargon for the sake of sounding cool, right? Like, one thing for me is, like, calibration I do think is a. To me, like, well understood because we've covered it in. On the podcast.Diogo Almeida [00:25:22]: Yeah.Swyx [00:25:22]: But I don't know what you mean when you say RLCD versus what people are familiar with.Diogo Almeida [00:25:26]: It's a great question.Swyx [00:25:27]: Yes.Diogo Almeida [00:25:27]: And actually, I will give a related question.Swyx [00:25:29]: Okay.Diogo Almeida [00:25:29]: What is RLHF?Swyx [00:25:31]: Okay.Diogo Almeida [00:25:31]: Right? And actually, RLHF means multiple different things, right?Swyx [00:25:34]: Okay.Diogo Almeida [00:25:34]: Like, there's the RLHF of the original. I think it was, like, Paul Christiano teaching a robot to backflip or something like that. Wasn't there somethingSwyx [00:25:42]: Was that it?Diogo Almeida [00:25:43]: That was the originalSwyx [00:25:44]: I referenced the PPO paper, but I don't know.Diogo Almeida [00:25:46]: And so PPO was not necessarily from human feedback, if I recall.Swyx [00:25:51]: Okay. That's trueDiogo Almeida [00:25:52]: But I b- I believe it was, like, an OpenAI alignment work that could teach hard to specify outputs, like a backflip. I'm not 100% sure. And then there was actually learning to summarize. This was work, by a bunch of the team that helped with, instruct-- and co-authored, the instruction following paper, which was teaching, doing PPO on language models.Swyx [00:26:15]: This is the, sorry. I'm trying to, tryingDiogo Almeida [00:26:19]: YeahSwyx [00:26:19]: Trying to manipulate this thing. This is 2017.Diogo Almeida [00:26:23]: Yeah.Swyx [00:26:23]: Right.Diogo Almeida [00:26:23]: I'm not 100% sure, but like, that looks quite right.Swyx [00:26:26]: Yeah.Diogo Almeida [00:26:26]: If it has, like, a robot doing backflips or something like that might be it. Yes. Okay, cool. I guess I got it right. Hell yeah.Swyx [00:26:35]: There you go.Diogo Almeida [00:26:36]: Yeah.Swyx [00:26:36]: That's the one.Diogo Almeida [00:26:36]: So the idea was can, like, can you do, like, ill-specified things with it? So that's, like, version one. Version two was, the learning to summarize work, that, like, OpenAI did, which is actually, like, PPO on language models to do something somewhat ill-specified. This is, like, another thing that people refer to as RLHF Which I did not co-author.Diogo Almeida [00:26:57]: Oh, Dario's there. Cool. Hell yeah.Swyx [00:27:01]: And Radford.Diogo Almeida [00:27:02]: Yeah. Shout-outs to Alec and Ryan. Love them.Swyx [00:27:04]: Yeah.Diogo Almeida [00:27:05]: But the thing that I refer to RLHF is the, Oh, man.Diogo Almeida [00:27:13]: I'll get toSwyx [00:27:14]: You have comments on that, yeah.Diogo Almeida [00:27:15]: I have comments on that paper, but like, we're so many, tangents deep.Swyx [00:27:18]: Yeah.Diogo Almeida [00:27:18]: So the thing that really got. To me, the thing that I'm calling to RLHF is the task of instruction following. It's not about the PPO. That part doesn't matter. It's about, like, setting a North Star of this is a valuable direction. It's kind of like the Bitris lesson North Star.Diogo Almeida [00:27:34]: And for us, RLCD is this new task. And it is not. I don't see it as jargon. Like, I try to communicate with precision. It's just that, “Hey, here's another North Star.” Just like DPO and all of its, like, descendants also do RLHF, despite not using the algorithm in that paper.Swyx [00:27:55]: And so clear- clearly stating the North Star is, being program- programmable AI is one, word that I really catch onto, removing the human in the loop,Diogo Almeida [00:28:06]: YesSwyx [00:28:06]: From. Because RLHF is tuningDiogo Almeida [00:28:09]: YesSwyx [00:28:09]: For this so that you can automate everything.Diogo Almeida [00:28:11]: Yes. Everything that makesSwyx [00:28:13]: Did I miss anything else in the, in the thesis of, like, what the North Star is?Diogo Almeida [00:28:17]: There is. That is. That is right. I'm overly nuanced in my communication. The one nuance is that we need to be practical. We need to be aware of what language models can do really well. Like what AI can do.Diogo Almeida [00:28:30]: Right? Like, there could be programmatic types that are, like, sick AF, but if you. If the technology is not ready for it to. It's not a tragedy if that's not out in the world.Why Programmable AI MattersSwyx [00:28:41]: Yeah.Diogo Almeida [00:28:42]: But to me, like, the pre-Jev world was a tragedy becau-- it sounds arrogant. Hear me out.Swyx [00:28:49]: No. I strongly believe you.Diogo Almeida [00:28:50]: Cool. It sounds arrogant, but like, I felt this way since long before I even had a company.Swyx [00:28:54]: Yeah. I can, I can vouch that,Diogo Almeida [00:28:56]: Yes, I've been talking about this for so longSwyx [00:28:57]: You said this at All Around Her for, like, three years.Diogo Almeida [00:28:58]: Yeah, I've been talking about this for so long. And I've been saying it because I thought it would have been easier. They say they do not do things because they. It. They're easy. They. It's ‘cause they thought it was easy, soSwyx [00:29:08]: Yeah, exactlyDiogo Almeida [00:29:09]: Something like that. I thought it. This whole project would take a week.Diogo Almeida [00:29:13]: And I was unbelievably wrong. So I am so sorry to everyone at OpenAI that I thought. I was like, “Man, I'm solving this right now.” but like, I think that the tragic thing is when. Well, I think overpromise, underdeliver is tragic too. And like, AI is super extreme on that axis. And I think RLVR is, like, the main. Well, both RLVR and RLHF are extreme perpetrators of this.Diogo Almeida [00:29:40]: But like, it. To me, it's like it's just there's just so much potential there. Like, AI is clearly so smart. I l- smart. I love this in my talks, when I ask people, like, “How can AI be so unbelievably smart? How can we, like, solve millennium prize problems in math, but still not automate even the most basics of works?” Like, really basic rote stuff that, like, the. It d- it doesn't take, like, extremely smart people to do this. It's not a satisfying job. Like, there's other things these people could be doing, but yet we need them to do, like, this ba- like, super basic- non- unsatisfying stuff because, like, we can't automate it yet, but we have this, like, supercharged engine of automation that just does not have, like, the right plugs and stuff to plug into all of this economically valuable work. And like, if the whole company of TypeSafe disappears, like, maybe it'll take, like, a year or two for people to, like, truly catch up. I actually don't know how long it'll take. If model quality matters, then we are gonna be in a very good position for a long time. But it, like, it's done, right? Like, there, like, this has changed the path of, like, technological history.Swyx [00:30:49]: Yeah.Diogo Almeida [00:30:49]: And like, we will be exploring that space as a field.Swyx [00:30:53]: Yeah. I think, I definitely agree with that. You've created possibilities. So I think, if I can paraphrase so that people can un- also understand, you should not take the success of TypeSafe and Jev as just like, “Well, that is a new model type. Now we're done. We go back to business.” Like, no. Like, actually, there's, there are, like, five other model types that you should be exploring and like, let a thousand flowers bloom.Diogo Almeida [00:31:15]: Absolutely.Swyx [00:31:16]: Right?Diogo Almeida [00:31:16]: Like, early internetSwyx [00:31:17]: And some of that, some of which you will probably also build.Diogo Almeida [00:31:18]: Of course, yes.Swyx [00:31:19]: Yes.Diogo Almeida [00:31:19]: Early internet energy. I think it's back to tech utopia. It's no longer like, “Oh, man, like, sometimes my coding agents work, but the, all of the best ones are hoarded internally.”Swyx [00:31:29]: Yeah.Diogo Almeida [00:31:30]: Right? It's like creation is back on the menu.Diogo Almeida [00:31:34]: ? Though it's gonna be a wild-ass world, and buckle up.Diogo Almeida [00:31:38]: It's. And I'm so jazzed about that.Manifesto, Launch Strategy, and Early Internet EnergySwyx [00:31:42]: Yeah. And now you have the funding and the momentum to do whatever you envision there, which I, which I think is, like, very gratifying to see you have after, so long of saying these thingsDiogo Almeida [00:31:53]: YeahSwyx [00:31:54]: But actually show the world.Diogo Almeida [00:31:55]: I know. I just. Such a, such an interesting thing to be a tease the whole time. Like, my talk, like, felt like it was a cliffhanger ‘cause I didn't say how the automation would occur.Swyx [00:32:05]: Yeah.Diogo Almeida [00:32:06]: Sean reviewed our manifesto And he's like, “It's a little bit vague in these parts.”Diogo Almeida [00:32:12]: And like, “What's step one? What is, what is the intelligence model?”Swyx [00:32:16]: Well, I asked you for model, and you were like, “Yeah, model coming.”Diogo Almeida [00:32:18]: Yeah.Swyx [00:32:18]: And like, Well, I just, I mainly objected to the word composable But build prod.god is fantastic.Diogo Almeida [00:32:24]: Thank you.Swyx [00:32:24]: Yeah.Diogo Almeida [00:32:25]: I. We've really rallied around that. I'd like to think we're not entirely a cult like some companies are.Diogo Almeida [00:32:32]: But like, we are, like, jazzed about what we're doing, and like, we are. Like, my brand is being practical, and like, we are all, like, so super-duper practical.Swyx [00:32:42]: Yeah.Diogo Almeida [00:32:42]: It's really great.Swyx [00:32:43]: Yeah. So here. And by the way, here is the step, the secret master plan, right?Diogo Almeida [00:32:47]: Yep.Swyx [00:32:47]: Shape, the shape of machine-native composable AI.Diogo Almeida [00:32:49]: It was your idea to make a secret master plan, soSwyx [00:32:51]: It's a, it's that Elon thing. When he started TeslaDiogo Almeida [00:32:53]: YeahSwyx [00:32:53]: He was like, “Here's what we'll do.”Diogo Almeida [00:32:54]: But I did. Yeah. I'm giving official credit to you.Swyx [00:32:56]: Oh, thank you. Thank you, thank you.Diogo Almeida [00:32:56]: Yeah.Swyx [00:32:56]: Thank you. But like, you should've told me your, you're also gonna do this model launch, ‘cause you, like, you told me, you told me half of the story, and then the other half, you didn't have the doom demo at the time.Diogo Almeida [00:33:08]: Yep.Swyx [00:33:08]: You didn't have any numbers to give me.Diogo Almeida [00:33:10]: Yep.Swyx [00:33:10]: I was like, “what?”Diogo Almeida [00:33:11]: Well, the problem is I don't believe in benchmarking.Swyx [00:33:13]: Exactly.Diogo Almeida [00:33:14]: Right?Swyx [00:33:14]: Exactly.Diogo Almeida [00:33:14]: So like, it is a thing that you need to feel, and like, I think that this is the way to build long-term trust, even though it, like, hurt, it hurt us a, us a lot? Like last year when we did fundraise, no one believed us.Diogo Almeida [00:33:27]: ? Like, and they wanted just benchmarks and stuff, and we're like, “We're not gonna do that. We are principled. We're gonna stand by our guns. That rewards bad actors. I don't give a s**t, like, what you want. Like, this is who we are, and we are standing by that.” So Sorry. It's notSwyx [00:33:43]: No, yeah. Well, and in some ways, I think, like, choosing the hard path, it. But you end up making the company that you wanna work in.Diogo Almeida [00:33:49]: Yep.Swyx [00:33:50]: Right? Otherwise, if you sell out, then you're just working in, like, OpenAI but with my people, right? Which is like.Diogo Almeida [00:33:56]: Yeah. Yeah. Like, I'm, I don't have too many regrets on that, obviously.Swyx [00:34:01]: Yeah.Diogo Almeida [00:34:01]: Like, it worked out so unbelievably well. And like, I, The. I was emotional last night when I was talking about, like, the reasons I left OpenAI, and because, like, it actually had to change my wording after the launch. My phrasing was, “If an AI winter did happen and I did not do every f*****g possible thing I could to, like, avert that, I would see myself as personally responsible both for, the RLHF direction, which I think really widened overpromise versus under-deliver, and also not going all in on this because I think this is, this is where value is going to just be, like, printed.” So. And it was really cool because I feel likeDiogo Almeida [00:34:47]: The AI winter I'm worrying about is averted. Like, AI will be useful. It'll be used for automation.Diogo Almeida [00:34:53]: It's been less than a week, and like, the numbers are already undeniableSwyx [00:34:57]: YeahDiogo Almeida [00:34:57]: That it's, like, being used for real work, and like, there's. It's, it's the Wild West. Yeah.Launch Traction, Tokens, Rate Limits, and Developer UsageSwyx [00:35:03]: Yeah. Can you sh- just if you have top of your head, what numbers are you seeing? Like, what's, what's, like, signups? Like, whatever you can share.Diogo Almeida [00:35:11]: I'm actually not super on top of everything. Like, the team is the ones who are telling me all of these things.Swyx [00:35:16]: Yeah, and I'm sure it's, like, changing every day, right?Diogo Almeida [00:35:17]: It's, it's,Swyx [00:35:18]: But likeDiogo Almeida [00:35:18]: It's kinda nutsSwyx [00:35:19]: If there's a milestone that you're like, “Well, yep, that's one thing we were hoping for. We reached it.”Diogo Almeida [00:35:23]: I will say a milestone that we've passed is tokens per day.Swyx [00:35:27]: Nice.Diogo Almeida [00:35:27]: And this is not, like, fleeting tokens per day.Swyx [00:35:32]: Yeah.Diogo Almeida [00:35:32]: This is, like, even at night, like, it's constantly training, so machines are calling it and not just people trying things out.Diogo Almeida [00:35:39]: So that is, That is so cool. A trillion tokens a day is a lot.Swyx [00:35:45]: Yeah.Diogo Almeida [00:35:45]: So surpassing that is awesome. Signups to me don't really matter. And actually, this was, like, a bit of a mistake we made, if I'm, like, totally honest. People on Twitter were calling us, like, marketing geniuses and all of that, and that was just us. We don't have a marketer. Also hiring. And we were just being our genuine, goofy, like, irreverent selves, and we were, we were just, like, offboarding people off the waitlist so hard. - Our platform team is so unbelievably cracked. I think we have more n- up nines of uptime than Anthropic while having the most Unprecedented launch ever. Like, that is kind of nuts, soSwyx [00:36:21]: YeahDiogo Almeida [00:36:21]: Like, props to them.Swyx [00:36:22]: Yeah.Diogo Almeida [00:36:23]: And the thing we didn't realize. So number one, waitlists, waitlist sign-ups don't matter for, like, a developer platform, in my opinion? I would guess that a large number of them are not even developers. So they go in, they try some queries, and a lot of people don't get it because they are not programming, right? Like, they're just like, “What? This is not a chatbot. Where's my ChatGPT 2?”Diogo Almeida [00:36:45]: Right? But if, like. I haven't exactly calculated this. My sense is that if every single human being in the world, like, just wrote a couple of queries, that would be a rounding error compared to, like, one power user's for loop that is just, like, creating value.Swyx [00:37:01]: Yeah.Diogo Almeida [00:37:01]: And the thing we are-- didn't realize with the waitlist is, like, we could just w- off-board anyone off the waitlist. It doesn't matter. The scary part is rate limits. And then once people start getting value from that, then they just want tons and tons of rate limits because this is what software is, right? Like, you spend effort upfront to specify your rote task, and then this rote task creates more value than it takes to put in. And then now that you have thatSwyx [00:37:25]: Set it and forget, yeah.Diogo Almeida [00:37:26]: Exactly, yeah. You run it in the background. You make it a dependency, to, like, other things. You can make, like, higher level stuff. And like, you just create so much value in the world. Early internet people probably did not imagine, like, the wonder of early 2000s internet, which is still not early internet. But like, it's, it's through, no offense, composabilitySwyx [00:37:47]: NoDiogo Almeida [00:37:47]: That all of the crazy stuff happens, and I just really wanted to emphasize that in our manifesto. We are going for emergence. We are going for, like, being the catalyst. We're wanting to empower people, and we are going to do whatever we can for that, be it, like, Discords in our town hall with me wearing a garbage bag or not.Swyx [00:38:05]: And podcasts and Diogo Almeida [00:38:08]: Hell yeahSwyx [00:38:09]: Getting all that.Diogo Almeida [00:38:09]: Absolutely.Swyx [00:38:09]: Like, ‘cause I want the long form, right?Diogo Almeida [00:38:11]: Yeah.Swyx [00:38:12]: It is like, yes, we'll get past the, some of the superficial things, and then we'll go deep andDiogo Almeida [00:38:15]: Hell yeahSwyx [00:38:15]: And people will really trust and understand your mission and like, the people that, will resonate that will end up joining you or, buying you. Or No, but sorry, as a, as a customer.Diogo Almeida [00:38:27]: Oh, as a customer.Swyx [00:38:28]: As a customer, as a customer.Diogo Almeida [00:38:28]: Okay, yeah. That was funny. I'm sorry.Swyx [00:38:30]: Sorry. I didn't, I didn't mean to say that. But no, any-- one version, one very flattering version of this, like, 36 million views of your launch video.Diogo Almeida [00:38:37]: Cool. Up to 38 now.Swyx [00:38:39]: Yeah, rounding error.Diogo Almeida [00:38:40]: Yeah.Swyx [00:38:40]: Navio still has got 74. Fable 5 got 57. So like, as far as, a- and I didn't, I didn't do the stats for, like, original ChatGPT, likeDiogo Almeida [00:38:48]: YepSwyx [00:38:49]: Which there was no video.Diogo Almeida [00:38:50]: Yep.Swyx [00:38:50]: So like, up there, right?Diogo Almeida [00:38:52]: Yep.Swyx [00:38:52]: Like, as far, as far as, like, if you were to launch a Neolab in 2026, I think you're, like, number one right now, which is, like, pretty crazy.Diogo Almeida [00:38:58]: Yeah. Well, I actually would rather. I do have the shirt, like, your favorites Neola-- favorite Neolab's favorite Neolab.Swyx [00:39:05]: Huh.Diogo Almeida [00:39:05]: I don't give a s**t about being a Neolab. I think being a Neolab. Actually, we have a lot of, like, swag that's being a parody of a Neolab. One of them, one of them I have is, like, Neolab with product, which actually is not a Neolab. Like, I don't care about that, really.Swyx [00:39:20]: Yeah.Diogo Almeida [00:39:20]: What I care about is being a reliable dev platform. So Swyx [00:39:23]: YesDiogo Almeida [00:39:24]: Appreciate the comparison, but likeSwyx [00:39:25]: YeahDiogo Almeida [00:39:25]: Hopefully we transcend past them and we go back into, like, a thing-- like, a revolutionary moment for developers and like, this stable thing that people can rely on and trust.Reliability, Robustness, and DeterminismSwyx [00:39:35]: Yes. To that end, I think that's one thing that really impressed me about you guys is that, yes, you do talk about reliability. I thought it was mostly about calibration, which, like, we talk about RLCD. But actually it's also about just, like, uptime and scalability and all those things, right? They're, they're all sort of the kind.Diogo Almeida [00:39:55]: And nines.Swyx [00:39:56]: And nines.Diogo Almeida [00:39:56]: It's, likeSwyx [00:39:57]: Which uptime is, in my opinion.Diogo Almeida [00:39:58]: Oh, but that's part of it. But like, there's reliability in, like, how intelligent the thing is. Like, how consistently does it do the thing that you want? And I think that, like, the big reasoning models are very smart. In my opinion, they still lack reliability. I think there's many use cases where you-- they look like they should be smart enough to automate their work. There is economic incentive to automate that work, yet still they're not reliable enough as, at an intern because they're optimized for different things. And so like, I think that there's the reliability of being able to, like, trust the outputs. And also we are. Like, there are dimensions of reliability that we are not yet at that I'm, like, so excited by.Swyx [00:40:38]: Yeah.Diogo Almeida [00:40:38]: Like, I want to automate the easy work before the hard work? Like, I think that's just a common sense thing to do. But to me, we will be sufficient. I don't know if there's such thing as sufficiently reliable, but I wanna get so good that people don't even need to try the model to know that it'll work. It's like, that's like what flow state is in programming, right? Like, I'm just, like, writing queries because I need intelligence in here. And like, when. For non-trivial branching, I can just write it in like a, like a type-safe System 1 query and then get the results out of it and it just branches accurately. Like, that would be so good. Like, that's the. That is the dream.Swyx [00:41:12]: Yeah.Diogo Almeida [00:41:12]: And that is, like, going to be, like, a long slog.Swyx [00:41:16]: Yeah. We're gonna go into your API design in a little bitDiogo Almeida [00:41:19]: OohSwyx [00:41:19]: Just to give people examples and like, maybe paths not taken, that kind of stuff.Swyx [00:41:23]: One thing up the front that I do wonder about in terms of reliability is I noticed that there's no seed. There's no, And so basically, same input, do I always get the same output?Diogo Almeida [00:41:34]: SoSwyx [00:41:36]: And if not, why not?Diogo Almeida [00:41:37]: Oh, great question. So this is actually, like, a common question we have between. So reliability is actually a catchall. Like, whenever AI can't automate something, it's due to some form of reliability. Could be, like, type safety. It could be determinism. It just could be, like, it's, it's jagged, right? So reliability is a catchall. I just think that it's also a catchall for, like, what the North Star is. Re- determinism is, like, same inputs, same outputs. I do believe that this is, like, slightly interesting for unit tests, but I believe that to be the wrong North Star. I believe robustness is what peopleDiogo Almeida [00:42:16]: I don't wanna tell people what they really want, ‘cause that would be a little arrogant of me.Diogo Almeida [00:42:19]: I believe that is, like, the more important property. You want, given similar inputs, get similar outputs. And it's kind of wild how unreliable LLMs are.Diogo Almeida [00:42:31]: Like, a way that we test this is you put, like, UUIDs in, like littleSwyx [00:42:36]: YeahDiogo Almeida [00:42:36]: I think they're called nonces In the prompt. And what you want is similar outputs from all of those, ‘cause it's truly semantically the same question, and that is the part where you really want. Th- like, that robustness is where, like, people get, like, burnt with AI making decisions. So I think that is the. A super-duper important property. We could also have determinism. That is, that is a thing that can be available. As far as I can, like, mentally model for programmers, like, it, I- it could be valuable for some use cases, so like, please educate me, in comments or view. But my. In general, it's easy. Determinism is something you can, like, trade off for better cost. Like, we are, we are constantly wanting to be on the intelligence per dollar frontier. We are doing, like, absolutely disgusting things to be there. Like, this is,Diogo Almeida [00:43:32]: I shouldn't say this, but no one's here to stop me.Swyx [00:43:37]: If you s- you sign off on your own PR.Diogo Almeida [00:43:40]: That is not how it works at this company. I believe for this week, my chief of staff, Kay, is the most powerful person in tech.Swyx [00:43:49]: Yeah. And shout-out to Kay for organizing this.Diogo Almeida [00:43:50]: Holy shSwyx [00:43:51]: Yeah.Diogo Almeida [00:43:51]: Holy s**t. She is so f*****g competent and powerful. She's incredible.Diogo Almeida [00:43:58]: She sucks. Don't poach her. But so I try to be a bit more filtered, but like, people are telling me, “Don't call it a Frankenstein's monster of models,” but because that has, like, negative implications. I think Frankenstein's monster was, like, the good guy in this whole. It was innocent, right? I didn't read it. Okay.Diogo Almeida [00:44:18]: I'll, I'll confess. Okay. That. Well, one facial expression, ISwyx [00:44:21]: This is aDiogo Almeida [00:44:21]: My cards on the tableSwyx [00:44:21]: Decent Jacob Elordi movie if you wanna seeDiogo Almeida [00:44:24]: ISwyx [00:44:25]: The adaptation. Anyway.Diogo Almeida [00:44:26]: The. You have no idea how little time I have right now.Swyx [00:44:28]: Yeah.Diogo Almeida [00:44:29]: My priorities are sleep?Swyx [00:44:31]: Developers.Diogo Almeida [00:44:32]: Developers, yes. Developers. But yes. It. We do, like, absolutely disgusting things to be on the Pareto curve of intelligence per dollar, and we are going to keep doing that.Swyx [00:44:47]: Yeah.Diogo Almeida [00:44:47]: We're gonna be doing crazy-ass stuff, and I think people really need to think outside of the box. Like, part of the reason we're surprising is, like, people Are thought inside the box, and we continue to do that. As of right now, we are obviously the best at this, and we want to continue being the best at that whole thing.Swyx [00:45:05]: Yeah.Diogo Almeida [00:45:05]: So Wait, where did, where did we tangent from?Swyx [00:45:07]: No. SoDiogo Almeida [00:45:08]: YeahSwyx [00:45:08]: I asked you about, will you have seeds and determinism?Diogo Almeida [00:45:11]: Oh, yes. SoSwyx [00:45:11]: And then you basically defined reliability and likeDiogo Almeida [00:45:14]: And robustnessSwyx [00:45:15]: How you see it. Yes.Diogo Almeida [00:45:16]: But like, determina- likeSwyx [00:45:17]: I have a robustness example that's, that's, real quick I can show you.Diogo Almeida [00:45:19]: I would love that. I will just say one thing.Swyx [00:45:21]: Yeah.Diogo Almeida [00:45:21]: We can make a deterministic model.Swyx [00:45:22]: Exactly.Diogo Almeida [00:45:23]: Like, we're hap- if people can convince us that is a valuable thing to doSwyx [00:45:27]: YeahDiogo Almeida [00:45:27]: And we don't have a gigantic GPU shortageSwyx [00:45:29]: YeahDiogo Almeida [00:45:29]: We can happily make all of these models. We live to please. And rev- and revolt, revolute,Swyx [00:45:38]: You will throw over everything, except you'll do it in a nice way.Diogo Almeida [00:45:41]: Yeah.Swyx [00:45:41]: And findDiogo Almeida [00:45:42]: So like, determinism could be on the cards.Swyx [00:45:44]: Yeah.Diogo Almeida [00:45:45]: It just gets you less intelligence per dollar.Swyx [00:45:46]: Yeah. Well, just having seen the trajectory of OpenAI and Anthropic, you will. Just trust me now that you will be peer pressured into doing it. So like, just people will want it even if they. If you tell them they don't need it. They'll still want it. So like, yeah, that's the TL;DR of that.Diogo Almeida [00:46:01]: Okay.Swyx [00:46:02]: Yeah.Diogo Almeida [00:46:02]: I will love to. Maybe one day we will see how that happens.Swyx [00:46:07]: Yeah.Diogo Almeida [00:46:07]: I've been told I'm, They say that part of our brand is being unshakeableSwyx [00:46:13]: HuhDiogo Almeida [00:46:13]: And they say that's just the nice way of saying stubborn.Swyx [00:46:15]:

#kneereplacement #hipreplacement #arthritis #rehabilitationOn this episode of Your Health First, we welcome Cole Oliver, a physician assistant with Fondren Orthopedic Group in Houston, Texas. Cole and his team specialize in knee and hip replacement surgery, and we discuss the many facets of joint replacement—from the conditions that lead to surgery and the indications for proceeding, to the preparation needed to achieve the best possible outcome.A major part of that preparation is rehabilitation, or “rehab.” Rehabilitation is not limited to the period after surgery; it may begin beforehand through exercises and conditioning designed to improve strength, flexibility, balance, endurance, and overall physical readiness. Preoperative rehab can help patients build stronger muscles around the affected joint, improve mobility, learn how to use assistive devices such as a walker or cane, and become familiar with the exercises and movements they will perform after surgery. Entering surgery in the best possible physical and metabolic condition can make the early recovery period safer and more manageable.We also discuss the importance of controlling medical conditions—including obesity, hypertension, diabetes, and kidney disease—before surgery. Optimizing these conditions can reduce complications, improve wound healing, support mobility, and contribute to better long-term success with a joint replacement. Cole explains that surgery is only the beginning of the recovery process. Afterward, rehabilitation typically includes a structured program of physical therapy, home exercises, walking and strengthening activities, range-of-motion work, and gradually increasing independence in daily activities.Full engagement with the rehabilitation plan is essential. Patients must be willing to attend therapy sessions, complete their prescribed exercises at home, follow activity and safety instructions, and communicate openly with their healthcare team about pain, swelling, stiffness, or other concerns. Progress may sometimes be uncomfortable or slower than expected, but consistent participation helps restore strength and motion, reduce stiffness, improve balance and function, and allow the artificial joint to perform as intended. A technically successful operation without a serious commitment to rehabilitation may result in less-than-optimal recovery, whereas patients who actively participate in the process are more likely to achieve a strong immediate recovery and durable long-term results.Cole also shares practical guidance on what patients can expect before and after surgery, while I discuss lessons from my own experiences with right and left knee replacements over the past year—experiences that may help my patients better understand the preparation, perseverance, and commitment required for a successful joint-replacement journey.How To Reach Dr. Joe Galati and his Team:For an on-line consultation or press inquiries, contact Teresa Reyes at 713-794-0700Dr. Galati's Newsletter Sign-UpLiver Specialists of TexasGet a Copy of Dr. Galati's BookDr. Galati on FacebookMessage Dr. Galati and his team Hosted on Acast. See acast.com/privacy for more information.

What you copy is what you become. In "Copy That," Pastor Steven Furtick of Elevation Church challenges us, not to replicate what we see in culture, but to imitate the character of Christ.See omnystudio.com/listener for privacy information.

You may already have capital gains this year, but that does not always mean the tax bill is locked in. In this episode, Tiffany Phillips, CPA and Tax Strategist, breaks down how one client used tax-loss harvesting to offset $47,000 in capital gains before year-end. You'll learn how the 61-day wash-sale window works, why automatic reinvestments can create problems, and how specific-lot identification can change your tax savings. Tiffany also explains what happens when your losses are larger than your gains and how unused losses can carry forward. This is tax planning you have to do while the calendar is still open. If you have gains and investments sitting at a loss, this episode will show you what to review before December 31. Next Steps:

Andy Burnham gave the British people the impression that he had a plan for the country, but as the saying goes, if it isn't broken, don't fix it. Apparently, Burnham is using a plan for the nation constructed by his predecessor. Does he have what it takes to make it work and put his own stamp on it? Talk Breakfast's Jeremy Kyle speaks to: Former Conservative special advisor Charlie Rolwey, Talk's international editor Isabel Oakeshott, former press secretary to the Queen Dickie Arbiter, former minister for common sense Esther McVey, Labour MP Toby Perkins, and former culture secretary, now Reform member, Nadine Dorries. Hosted on Acast. See acast.com/privacy for more information.

In this bonus episode of the podcast, I sat down with Jeffery Lee, an incarcerated man who has been on Alabama's death row for 26 years, despite the fact that his jury never voted for a death sentence. The state of Alabama plans to execute Mr. Lee today, on September 17 despite the fact that his jury never sentenced him to death and the law used to impose the death penalty has been abolished by Alabama and every single US state since 2017. In our conversation Jeffery shares more about his life before death row, about his faith, about his heros (his son and father), and more about his life and what gives him meaning and hope. Please find some calls to actions below to help make a difference. Every call, every share on social media helps. Jeffery's life matters. Together, we are powerful.Sign the Petition + Demand Clemency for Jeffery Lee Call Gov. Ivey + Demand Clemency 334-242-7100Email Governor Ivey and Demand Clemency for Jeffery LeeNot Sure What to Write? Copy and paste this pre-written script to demand Governor Ivey grant clemency for Jeffery Lee.Watch Life for Jeffery Lee and/or attend the upcoming petition delivery at the capitol.Learn more about Jeffery and his story.The jury's verdict recommended life in prison for Jeffery, but the trial judge rejected the verdict and imposed the death sentence. This is known as judicial override, a law that the state of Alabama abolished in 2017 because it is so unjust. Jeffery is a man of faith, a mentor and leader, and a force for positive change and support amongst his community within death row, and his loved ones, as well. He leads with compassion, humility, and grace and his spirit and character inspire others to find courage, hope and change for the better despite all odds. Thank you for tuning in and being here, to not only learn more about Jeffery as a person and his life, but also how you can participate to help save his life.

Are you feeling stuck in your career or ready to step into your next chapter? On this episode of Super Awesome Mix, host Matt Sidhom sits down with leadership coach Edoardo Savi—a mentor to over 250 professionals who uses pop culture, music, and media as live case studies for self-identity and career growth.Moving away from the trend of "quiet quitting," Edoardo shares his concept of "Loud Quitting"—celebrating major career pivots made out of choice, purpose, and self-worth rather than fear. Together, Matt and Edoardo walk through a carefully curated 12-track mixtape designed to guide, empower, and soundtrack your journey toward doing your own thing.https://my.superawesomemix.com/mix/loud-quitting-a5a1Featured Mixtape TracklistDavid Bowie – ChangesThe Killers – HumanFleetwood Mac – LandslideFlorence + The Machine – Shake It OutGreen Day – Good Riddance (Time of Your Life)Beyoncé – BREAK MY SOULIrene Cara – Flashdance... What a FeelingNina Simone – Feeling GoodAerosmith – Dream OnPrince – Free (Acoustic Version)Taylor Swift – You're On Your Own, KidArcade Fire – Ready to StartConnect & Create:Read Edoardo's pop-culture and leadership essays on Substack at theuncoachables.substack.com or visit eduardosavi.com.Go to My.SuperAwesomeMix.com and start using our new app on any device - mobile or laptop.  Copy and paste a link to your playlist then turn it into an old school mixtape in minutes!  Support the showVisit us at https://www.superawesomemix.com to learn more about our app, our merchandise, our cards, and more!

Your business can look successful and still be losing money. In this episode, Tiffany Phillips, CPA and Tax Strategist, breaks down the accounting and finance basics every business owner should understand. You'll learn what your income statement, balance sheet, and cash flow statement actually tell you, and why revenue is not the same as profit. Tiffany also explains cash versus accrual accounting, profit margins, break-even points, cash flow forecasting, and the numbers that can help you make smarter money decisions. You do not need to become an accountant. You just need enough business finance knowledge to understand what is really happening with your money. If you are tired of guessing whether your business is truly profitable, listen now. These numbers could change the way you run your business. Next Steps:

Semaglutide, Tirzepatide, and Retatrutide are often grouped together as GLP-1 medications, but they are not simply three versions of the same drug. In this episode, I compare the biology, research, and real-world implications behind each compound, looking beyond the number on the scale to ask a more useful question: what type of weight is being lost?I break down the progression from single agonist to dual agonist to triple agonist, including how GLP-1, GIP, and glucagon signaling may influence appetite, glucose regulation, energy expenditure, and fat loss. I also examine what the available body composition research shows about lean mass, visceral fat, skeletal muscle, and the risk of becoming lighter without becoming healthier or stronger.Topics discussed: - What actually separates the major GLP-1 medications- The scale - The body composition - Current evidence about retatrutide- Muscle prevention - Framework for evaluating weight loss outcomes---------- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠My Live Program for Coaches: The Functional Nutrition and Metabolism Specialization ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.metabolismschool.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠---------- [Free] Metabolism School 101: The Video Series⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.metabolismschool.com/metabolism-101⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠----------Subscribe to My Youtube Channel: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://youtube.com/@sammillerscience?si=s1jcR6Im4GDHbw_1⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠----------⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Grab a Copy of My New Book - Metabolism Made Simple⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠---------- Stay Connected: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram: @sammillerscience⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube: SamMillerScience⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook: The Nutrition Coaching Collaborative Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok: @sammillerscience⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠----------“This Podcast is for general informational purposes only and does not constitute the practice of medicine, nursing or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast and the show notes or the reliance on the information provided is to be done at the user's own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment and is for educational purposes only. Always consult your physician before beginning any exercise program and users should not disregard, or delay in obtaining, medical advice for any medical condition they may have and should seek the assistance of their health care professionals for any such conditions. By accessing this Podcast, the listener acknowledges that the entire contents and design of this Podcast, are the property of Oracle Athletic Science LLC, or used by Oracle Athletic Science LLC with permission, and are protected under U.S. and international copyright and trademark laws. Except as otherwise provided herein, users of this Podcast may save and use information contained in the Podcast only for personal or other non-commercial, educational purposes. No other use, including, without limitation, reproduction, retransmission or editing, of this Podcast may be made without the prior written permission of Oracle Athletic Science LLC, which may be requested by contacting the Oracle Athletic Science LLC by email at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠operations⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@sammillerscience.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. By accessing this Podcast, the listener acknowledges that Oracle Athletic Science LLC makes no warranty, guarantee, or representation as to the accuracy or sufficiency of the information featured in this Podcast."

The Real Reason You Can't Think Your Way Out of Anxiety and Intrusive ThoughtsMatt Codde, LCSW, founder of Restored Minds, breaks down one of the biggest traps in anxiety and OCD recovery: trying to use the mind to fix the mind. If you've ever tried to think, analyze, or reason your way out of a fear loop and found it just makes the racing thoughts worse, this episode explains exactly why.Matt walks through why the mind can't solve a problem it's the source of, why visualizing "getting better one day" quietly lets you off the hook from actually changing, and why real healing happens by stepping into consciousness rather than deeper into the mind. This is the foundation of Restored Minds' consciousness-based approach to anxiety, OCD, and intrusive thought recoveryTake the FREE Assessment here: restoredminds.com/start

Don't take your cues from culture. In "Be Careful What You Copy," Pastor Steven Furtick of Elevation Church reveals that, when we copy culture, we're missing out on the unique plans God has for us.See omnystudio.com/listener for privacy information.