Podcasts about Proven

First Take resumes as Joey Porter Jr. is hoping to make his Cowboys debut on Sunday. How much will Porter actually improve this defense? Has Jerry Jones been able to make up for the loss of Micah Parsons through his trades? Next the crew looks ahead to week four of the NFL. Are the Browns legit contenders after their win against the Steelers? Could the Bills and Chiefs be on upset watch? Then Victor Wembanyama recently said he will not be promoting any betting sites. What do you think of Wemby taking a stand? Is this something that more NBA players should follow? Learn more about your ad choices. Visit podcastchoices.com/adchoices

>>Think Like a Pro with DECADE Golf: The #1 course management system to think like a pro (use code WICKEDSMART to save 20%). >>Get my FREE guide, 10 Course Management Secrets LEARN THE WICKED SMART GOLF SYSTEM Apply for 1:1 performance coaching with Michael (limited spots available) Join Wicked Smart Golf Academy To Lower Your HDCP Fast: Proven paths to break 90, break 80, and crush competitive golf (no swing changes required) Join the Wicked Smart Golf Newsletter and get 5 FREE practice plans. Recommended Products Speed Train With Rypstick: The #1 speed trainer to add 10+ yards in 40 days or less (use code WICKEDSMART to save 20%)  Shot Pattern: The best golf GPS + stat tracking to help you manage your round and make better decisions (20% off w/my link). Master Mobility & Flexibility with Golf Forever: The best way to work on your golf fitness at home or the gym, with easy to follow plans & app (use code "WICKEDSMART" to save 15%).  Use HackMotion for Better Ballstriking: The best wrist trainer in golf and become your swing coach (use code WICKEDSMART to save 5% on your investment).  Speed Train with HiiTs Driver: Developed by 3X WLD Champion, Fast Eddie, this hittable driver will help you add distance while hitting balls (use code "WICKEDSMART" to save 10%). James Berry is a former professional golfer, performance coach, and author of The College Golfer. Drawing from years of competing at an elite level and guiding top players, James breaks down what truly separates great golfers from the pack.  In this episode, we explore the habits, mindset, and training principles that fuel consistent performance—including how to practice with purpose, manage pressure, and build the confidence to compete at your best. When you listen to this interview, you will learn: The power of your self-image Why you need to develop discipline How to simulate driving pressure practice at the range Habits of the professional golfers he works with that you can steal  Follow James Berry on Instagram and check out his website.  Wicked Smart Golf Books Play better FAST with the Wicked Smart Golf Trilogy on Amazon or Audible.  Simplify "golf fitness" with my book, The Wicked Smart Golf Fitness Formula on Amazon. Or, listen to it on Audible.  Follow Wicked Smart Golf   Follow on TikTok Follow on Instagram   Subscribe on YouTube 

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

Every man has struggled with the vice of lust. Most men believe it is sheer willpower that will bring them to chastity and that if they are continuing to fail then they must not be trying hard enough. This loop can be broken, and it is not by willpower alone. Today we give you a 5 step plan to help you defeat the sin of lust. We explore how sexual attraction is good and how repression can make the problem worse. We also discuss the importance of having a plan of attack and how you cannot do this alone. Learn more about your ad choices. Visit megaphone.fm/adchoices

Join us for inside a JMO career conference with three alumni from the August 2026 Cameron-Brooks Career Conference, hosted by Cameron-Brooks career coaches Brock Dudley and Geoff Fries. Peter Carver and Jonathan Guilbe are both headed to Flowserve, in the nuclear engineering valves division in Raleigh. Bryan Bornn is going to Pacifico Energy in Dallas, building power infrastructure for data centers. What does a Career Conference actually look like? The August 2026 numbers: 47 companies 34 candidates 409 interviews across two days About 12 interviews per candidate 29 Cameron-Brooks alumni came back as hiring managersAlmost half of the companies in the room had a Cameron-Brooks alum conducting screening interviews. Why is that meaningful? We're fortunate to partner with so many Cameron-Brooks alumni who have gone on to become hiring managers. And many of them, along with their companies, come back to hire more JMOs from the Cameron-Brooks program. Why do they come back? A big part of it comes down to the success of these placements. Great JMOs. Great companies. Proven track records of success and career advancement. Simply put, companies see firsthand how strong Cameron-Brooks alumni are as leaders, and they want to hire more people like them. That's part of what makes Cameron-Brooks so special. It's not just a network. It's a community of people who continue to support each other, hire each other, and help the next group of JMOs succeed. What helped them prepare? All three landed on the same short list. The interview prep worksheet. Peter called it the highest-value tool he used. It forces you to pull the competencies out of a job description before you walk in. Reps with other people. John attended nearly every optional session and met with his study group around them. Practicing with a real role in mind. Bryan had his regular answers down. He hadn’t practiced them with an actual job description in mind until the conference got close. What surprised them? The interviews were more conversational than expected. Bryan said practice felt rigid by comparison, and the real thing flowed better. Location mattered less than they thought it would. John ranked Texas low on his list. He is moving to Dallas. Peter nearly took a role in Sheboygan, Wisconsin, a place he had not heard of before the conference. Their advice was consistent. Focus on the role and the company first. Let location and compensation enter the decision once you have offers in hand. If you’d like to learn more from other recent alums about their experience, you can listen to the following alumni roundtables: June 2026 Career Conference April 2026 Career Conference February 2026 Career Conference November 2025 Career Conference August 2025 Career Conference  At Cameron-Brooks, we help junior military officers transition from the military into business careers. If you are thinking about finding a job after the military, we would like to talk. If you have any questions, we’re happy to help. For those of you in our program, we know how daunting the process up the career conference can be. We are here for you and we’ve got your back. In the meantime, practice in your study groups, stay active in discord, and attend your interview workshops. And if you’re new to Cameron-Brooks and are looking to explore your transition to the business world, we’re happy to talk. Follow Cameron-Brooks on LinkedIn.

Luke Carignan runs this one solo and flips the format. No crisis, no warnings. Three healthcare workforce stories that went right, and three things healthcare HR can act on because of them.

After Chris Perkins claimed he is ready for the Dolphins to pass on drafting a QB in the 1st round, Hoch, Crowder and Solana all discuss if they're in agreement with the idea of Malik Willis already proving he's 'the guy'.

Find me on Substack!My guest today is Peter Lazaroff, CFA, CFP®—the Chief Investment Officer of the $10-billion-plus RIA Plancorp, chair of its investment committee, host of The Long-Term Investor, and author of Making Money Simple, and a new book The Perfect Portfolio, whose central message is that the best portfolio is not the historical winner but the one tailored to an investor's goals, capacity for risk, and ability to stay disciplined.Peter Lazaroff's first stock arrived on his twelfth birthday: a single share of Nike from his grandmother. He was disappointed until a one-dollar dividend check showed up in the mail. "I didn't even have to work for this," he recalls, and he was hooked. Today, as CIO overseeing more than $10 billion and author of The Perfect Portfolio, he argues that the best portfolio isn't the historical winner but the one built for your life.He opens his book with a steak dinner, burned on a cheap grill in the backyard of his first home, because the perfect portfolio, like the perfect meal, is personal. He tells the story of a client whose blue chip stocks and mutual funds were chosen to impress others rather than to fund his goals. A portfolio, Peter says, is "a piece of their identity," and it changes over a lifetime as your human capital, balance sheet, and heirs come into view.On market timing, he reminds us that "You do have to be right twice," and that taxes can turn a bad call into a "permanent bear market." Rather than predicting declines, plan on them. He explains exposure therapy for investors, why narratives scare us more than percentages, and why our instinct to run from the rustle in the bushes makes beating the market so hard.Peter reveals his own guardrail, "It's to not do it yourself," shares why bond indexes lend the most to the most indebted, and makes the case for goals-based benchmarks: "am I still on track?" He closes with a controversial plea to read twenty minutes a day, and with the idea at the heart of his book: the perfect portfolio is the one you can stick with.Podcast Program – Disclosure StatementBlue Infinitas Capital, LLC is a registered investment adviser and the opinions expressed by the Firm's employees and podcast guests on this show are their own and do not reflect the opinions of Blue Infinitas Capital, LLC. All statements and opinions expressed are based upon information considered reliable although it should not be relied upon as such. Any statements or opinions are subject to change without notice.Information presented is for educational purposes only and does not intend to make an offer or solicitation for the sale or purchase of any specific securities, investments, or investment strategies. Investments involve risk and, unless otherwise stated, are not guaranteed.

Welcome to the CanadianSME Small Business Podcast, hosted by Brent Edwards. Today, we explore how high-performance technical apparel and footwear are engineered for extreme conditions.In 2026, scaling a heritage consumer brand requires moving past boardroom assumptions to implement rigorous product validation, climate-rated material testing, and multi-channel expansion strategies. Joining us is Mark Hubner, Managing Director at Baffin, a third-generation brand leader and extreme explorer.Key HighlightsReal-World Testing: Extreme environment trials are critical before product launch.Category Expansion: Multi-season product growth must protect core brand identity.Recovery Footwear: Recovery Clogs were designed for post-adventure ergonomics.Technical Footwear Trends: Emerging materials and designs will reshape the industry.Brand Autonomy: Baffin balances independence while leveraging a major corporate parent.Special Thanks to Our Partners:UPS: https://solutions.ups.com/ca-beunstoppable.html?WT.mc_id=BUSMEWAADP Canada: https://www.adp.ca/en.aspxFor more expert insights, visit https://canadiansme.ca/ and subscribe to the CanadianSME Small Business Magazine. Stay innovative, stay informed, and thrive in the digital age!To learn more about how we are supporting the ecosystem, please visit the CanadianSME Small Business Foundation at https://smbfoundation.ca/.Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation.

What do we do when we cannot understand what God is doing? Acts 12 reminds us that even when God's hand is hidden, His heart can still be trusted and His purposes cannot be stopped. Through the death of James, the miraculous deliverance of Peter, and the downfall of Herod, we discover three important truths for our lives: following Jesus wholeheartedly will cost us, nothing is impossible for God, and pride always destroys. When life doesn't make sense and we cannot trace His hand, we can still trust His heart.

Let's talk about "Drill Baby Drill" being proven wrong....

You've probably heard that you need $10,000 to start selling on Amazon. In this episode of Silent Sales Machine Radio, Jimmy Smith explains where that number comes from, why it's true for one path, and why it doesn't have to be true for you.   Jimmy has been selling on Amazon since 2015, and he breaks down the real reason private label carries that big price tag: overseas manufacturing runs, prep, software, advertising, and reorders all stack up before you ever turn a profit. Then he lays out the model this community actually recommends for new sellers, reselling through arbitrage and wholesale, where you can get started with around a thousand dollars and spread your risk across dozens of products instead of betting it all on one.   You'll hear why starting small and testing many products beats going all in on a single item, how tools like Keepa and 3P Mercury help you read a product's real selling history before you buy, and why having too much cash early can actually work against a new seller. Jimmy also walks through some simple, honest math on how small tests can average out (results are never guaranteed, but the examples show why lower risk matters so much when you're learning).   If you've been sitting on the fence wondering whether you can even afford to start, this episode is for you.   Watch this episode on our YouTube channel here: https://youtu.be/Lj2EC1_dORs   Resources mentioned: Try 3P Mercury for $1 for 30 days: askjimmysmith.com/3pm Group and one-on-one coaching: silentjim.com/coaching     Show note LINKS:   SilentJim.com/bookacall - Schedule a FREE, customized and insightful consultation with my team or me (Jim) to discuss your e-commerce goals and options.   My Silent Team Facebook group. 100% FREE! Facebook.com/groups/mysilentteam - Join 83,000 + Facebook members from around the world who are using the internet creatively every day to launch and grow multiple income streams through our exciting PROVEN strategies! There's no support community like this one anywhere else   ProvenAmazonCourse.com - The comprehensive course that contains ALL our Amazon training modules, recorded events and a steady stream of latest cutting edge training, including of course the most popular starting point, the REPLENS selling model. The PAC is updated free for life!   SilentJim.com/kickstart  - If you want a shortcut to learning all you need to get started, then get the Proven Amazon Course and go through Kickstart.   SilentSalesMachine.com - Text the word "free" to 507-800-0090 to get a free copy of Jim's latest book in audio about building multiple income streams online (US only) or visit SilentJim.com/free11  

A key theme that emerged was the influence of hidden psychological triggers—such as trust, simplicity, placement of CTAs, and personalization—on driving purchases and conversions. The discussion explored why focusing on consumer outcomes, using keywords aligned with search intent, and maintaining clear, concise messaging at a 5th-grade reading level are essential for maximizing website conversion rates. Several points were raised, including the importance of fast-loading, visually optimized pages with above-the-fold CTAs, minimal form fields, and tailored button text, all of which can significantly improve user experience and reduce friction. Proven strategies such as benchmarking against industry conversion rates, budgeting to avoid impulse purchases, and making sites accessible were also highlighted, offering actionable insights for marketers and business owners aiming to enhance their digital sales funnels.Who Is This For?The conversation focused on business owners, entrepreneurs, marketers, and anyone seeking to increase online sales and improve their website conversions. It is especially relevant for those interested in understanding the hidden psychological triggers that influence consumer buying behavior. Whether running an e-commerce shop, developing landing pages, or offering professional services, these insights aim to help optimize the digital customer journey and drive measurable results.Key Moments & TimestampsIntroduction to Psychological Triggers & Setting the Stage 00:00:05The Importance of First 5 Seconds & Above the Fold Content 00:05:50The Power of Keywords and Messaging for Trust 00:17:29Impact of Simplicity: 5th-Grade Reading Level Copy 00:24:48Median Conversion Rate Benchmarks & Short Copy Benefits 00:30:33Importance of Above the Fold & CTA Placement 00:41:37Sales Cycles Based on Deal Size 00:47:13Budgeting to Avoid Buyer's Remorse 00:55:55Checkout/Lead Form Field Optimization 01:00:14Personalized vs. Generic Calls to Action 01:02:22Accessibility & Decision Fatigue 01:05:035 Key Points1️⃣ First Impressions Make or Break SalesA key theme that emerged was the importance of the first 5 seconds—60% of users won't scroll past the top of a page. If your hook isn't clear and outcome-focused, they bounce.You have FIVE SECONDS to show them their dream, not your bio. 06:122️⃣ Keep It Simple, Keep Them BuyingThe discussion explored the power of simple sales copy. Pages written at a 5th-grade level convert up to 110% better than 8th-grade+ text. Every extra syllable or convoluted word? That's friction, not persuasion. 25:463️⃣ Above-the-Fold Buttons = 317% More ConversionsOne concept discussed was the impact of “above the fold.” Place your #1 call-to-action before users need to scroll. This alone can boost conversions by 317%. Let them click before they have time to second-guess! 41:58For more support, listeners are encouraged to book a 30-minute discovery call, or subscribe to upcoming training and resources.4️⃣ Less Friction = More MoneySeveral points were raised, including the number of form fields at checkout. Reduce to five or less, and conversion rates climb 120%. Every extra field is a potential lost customer. 01:00:145️⃣ Personalize Your CTAsPersonalized Call-To-Action buttons (“Grab your spot”, “Claim your bag”) outperform generic “Buy Now” by 202%. The little words you choose make a BIG difference in how ready people are to say yes. 01:02:46Bonus: Trust Is the Real CurrencyA central piece: none of this matters without trust. Fast-loading pages, relevant keywords, clear copy—all build micro-trust. Lose it, and you'll spend forever (maybe never) getting it back. 17:23Takeaway:Optimize for brains, not just clicks.Capture dreams in secondsKeep everything simpleMake actions effortless, immediate, and personalAlways build trust firstFAQsQ: What is the most important area to optimize on a sales page?A: Above the fold content and CTA placement are crucial; keeping key messages and calls to action visible without scrolling can boost conversions by up to 317% 00:41:37.Q: How simple should my sales copy be?A: Aim for a 5th- to 7th-grade reading level; this increases conversions by 56%–110% over more complex copy 00:24:48.Q: What's the ideal number of form fields at checkout?A: Five or fewer; reducing form complexity can lift conversion rates by 120% 01:00:18.Q: Does button text matter?A: Yes, tailoring CTA text to the specific context or segment can improve click-through rates by over 200% compared to generic “Buy Now” buttons 01:02:22.Q: How can I avoid buyer's remorse for my customers?A: Encourage budgeting, avoid impulse purchases, and allow decision time to ensure purchases align with real needs 00:55:55.Action Steps for Favour Obasi-ikeReview Sales Copy: Ensure all web copy is written at a 5th-grade level or simpler 00:24:48.Audit CTA Placement: Place primary call-to-action buttons and benefit headlines above the fold on all major pages 00:41:37.Simplify Checkout Forms: Limit lead and checkout forms to a maximum of five essential fields 01:00:18.Personalize CTA Buttons: Replace generic button text with context-relevant phrases to boost engagement 01:02:22.Benchmark Conversion Rates: Compare landing page performance to the 6.6% median industry standard and adjust as needed 00:30:33.Align with Search Intent: Use transactional keywords in headlines and content for maximum conversion potential 00:17:29.Optimize for Accessibility: Ensure mobile and desktop experiences are easily navigable for all users 01:05:03.Educate Audience: Share budgeting and purchase decision frameworks to foster loyal, satisfied customers 00:55:55.Wondering which trigger could DOUBLE your sales? Start with your CTA and above-the-fold layout. The difference is immediate.Ready to Rank? Book Your SEO & Web Dev Services Today

  Today we spend time with the leading Amazon policy and legal expert Jeff Schick talking about the latest insights for sellers on Amazon. His team is comprised of several former Amazon policy and seller support workers who know how to get things done when it comes to catalog changes, suspension issues, IP alerts etc. He's also offering a new high end service in addition to other traditional services he's always offered where you can get his team working for you instantly 24/7 any day of the year! It's a new service level for serious sellers.   If you have policy, legal or Amazon support questions, Jeff and his team are the ones to help!   Show Note LINKS:   3pshield.com - Account health management for Amazon and Walmart sellers   3pmercury.com/friends - The best pricing on 3pMercury software!   ProvenAmazonCourse.com - The comprehensive course that contains ALL our Amazon training modules, recorded events and a steady stream of latest cutting edge training including of course the most popular starting point, the REPLENS selling model. The PAC is updated free for life!   SilentJim.com/kickstart - If you want a shortcut to learning all you need to get started, then get the Proven Amazon Course and go through Kickstart.   SilentSalesMachine.com - Text the word "free" to 507-800-0090 to get a free copy of Jim's latest book in audio about building multiple income streams online (US only) or visit SilentJim.com/free11   SilentJim.com/bookacall - Schedule a FREE, customized and insightful consultation with my team or me (Jim) to discuss your e-commerce goals and options.   My Silent Team Facebook group. 100% FREE! Facebook.com/groups/mysilentteam - Join 83,000 + Facebook members from around the world who are using the internet creatively every day to launch and grow multiple income streams through our exciting PROVEN strategies! There's no support community like this one anywhere else in the world!      

Are you optimizing everything in your business except the one asset that runs the whole show, you? Your sales funnel, your KPIs, your team, your marketing spend, all dialed in. But your sleep, your energy, your blood work? Yeah, probably not so much.In this solo episode of The Happy Hustle Podcast, Cary Jack breaks down five ways to optimize your body and your mind so you can actually show up as the best version of yourself for your business, your family, and everything else that matters to you. He gets real about running on fumes with a six month old and a three year old going through sleep regressions, and why he still refuses to let his health slide even when life is chaos.Here's the big shift. Most entrepreneurs treat their health like an afterthought, something they'll get to once the business is "figured out." Cary flips that. He's saying your body is the machine that runs everything else, your creativity, your leadership, your marriage, your parenting. If that machine is running on empty, everything downstream suffers. You don't get to hustle happy if you're running on no sleep and garbage food, no matter how good your numbers look on paper.Energy equals performance. Cary walks through the basics that most people skip: real sleep, real nutrition, daily movement that actually gets your heart rate up, recovery tools like saunas and cold exposure, stress mitigation, and getting your blood work checked at least twice a year. He's not talking about a casual stroll and calling it a workout. He means breaking a sweat and breathing through your mouth, not just your nose.Know your numbers. Entrepreneurs track sales metrics and return on ad spend obsessively, but most of us have no idea what our own biomarkers look like. Cary's philosophy is simple, what gets measured gets managed. That means tracking blood work, hormones, body composition, sleep, and fitness the same way you'd track revenue.Recovery equals productivity. More hustle isn't always the answer. Cary compares your body to a high performance machine that still needs to reset, refuel, and reboot. That means real breath work, real meditation, mobility, and actual strategic downtime away from your phone and your inbox, not just collapsing on the couch scrolling.Health span beats lifespan. Living to a hundred means nothing if you're too scared to go outside or too busy grinding to spend time with the people you love. Cary's not chasing extra years, he's chasing extra life. Staying capable, staying strong, and being able to keep up with your kids and grandkids as you age matters way more than a number on a chart.Your environment changes everything. Who you surround yourself with matters, sure, but Cary makes the case that where you put yourself matters just as much. Put yourself around high performing people in the right environment and you get accountability, new perspectives, faster problem solving, and relationships that actually deepen. That's the whole reason he built his masterminds the way he did, no stuffy ballrooms, no facade, just real conversations and real growth.This episode isn't just a pep talk, it's a reminder that balance really does equal happiness. You can't pour into your business, your family, or your purpose from an empty tank. Taking care of yourself isn't selfish, it's the foundation everything else gets built on. If you've been grinding hard on your business and quietly neglecting your body, this one's your wake up call.If this episode hit home, go listen to the full thing and start putting these five shifts into practice. Head over to https://happyhustle.com/podcast to catch the entire conversation. It just might be the reset you didn't know you needed.Connect with Cary!https://www.instagram.com/caryjack/https://www.facebook.com/SirCaryJackhttps://www.linkedin.com/in/cary-jack-kendzior/https://twitter.com/thehappyhustlehttps://www.tiktok.com/@caryjackhttps://www.youtube.com/channel/UCFDNsD59tLxv2JfEuSsNMOQ/featuredGet a copy of his new book, https://www.thehappyhustle.com/bookSign up for The Journey: 10 Days To Become a Happy Hustler Online Course @ https://thehappyhustle.com/thejourney/Apply to the Montana Mastermind Epic Camping Adventure @ https://thehappyhustle.com/mastermind/“It's time to Happy Hustle, a blissfully balanced life you love, full of passion, purpose, and positive impact!”Episode Sponsors:KilnYour environment shapes your energy and your results. That's why we're proud to partner with Kiln, a premium workspace experience designed to help you work smarter, connect with amazing people, and elevate your lifestyle. From co-working and private offices to meeting rooms and event spaces, Kiln (https://kiln.com/) has everything you need to thrive. Mention "Happy Hustle" for a special hookup!If you're feeling stressed, not sleeping great, or your energy's been kinda meh lately—let me put you on to something that's been a total game-changer for me: Magnesium Breakthrough by BiOptimizers.This ain't your average magnesium—it's got all 7 essential forms that your body needs to chill out, sleep deeper, and feel more balanced. I take it every night and legit notice the difference the next day. No more waking up groggy or tossing and turning all nightIf you're ready to sleep like a baby, calm your nervous system, and optimize your recovery, go grab yours now at https://www.bioptimizers.com/happy and use code HAPPY10 for 10% OFF.My Green MattressIf you've been waking up with back pain, feeling stiff, or just not getting that deep, quality sleep. This might be what you're missing: My Green Mattress.It's made with clean, non-toxic, and eco-friendly materials, so you're not just sleeping better, you're sleeping healthier too. The comfort and support are on another level, and you can really feel the difference night after night.If you're ready to invest in better sleep and better recovery, check it out at https://thehappyhustle.com/mygreenmattressOzlo SleepIf you've been struggling to fall asleep, stay asleep, or just wake up feeling actually rested, let me put you on to something that's been a total game-changer: Ozlo Sleep.These aren't your typical sleep buds. They're designed to block out noise and help your brain fully relax, so you can drift off faster and stay in deep, uninterrupted sleep. Perfect if you're a light sleeper or just want that next-level rest.If you're ready to upgrade your sleep and wake up feeling recharged, check out https://ozlosleep.com and save $80 OFF using code HAPPY.

Nick and Jonathan debate if the Browns will be proven right about Deshaun Watson and if style points matter for him as well.

Featuring Noe Arceo, Vice President of Talent Acquisition & Workforce Development, OhioHealthNoe Arceo calls the team he joined at OhioHealth a good team with good bones. His first year went into the parts of the hiring process they could control, and time to fill came down 42%. The method behind it fits on a single sheet of paper he has carried since his Baylor Scott & White days.

https://NemosNewsNetwork.com/Kirk for the FULL investigation, ONLY NEMOS NEWS HAD THETRUTH DAY ONE!See more at >>> Charlie Kirk & Turning Point USAhttps://nemosnewsnetwork.com/KirkSource:John Galt(@dadiani_georgeon X)https://x.com/dadiani_george/status/2101599312362733775If you appreciate the work we do and wish to support us, you can donate here >> https://www.nemosnewsnetwork.com/donateBitchute – Where We Don't Have To Watch Our Mouths!Click Here For Exclusive Deal and Remove all ads and secure your privacy!https://www.bitchute.com/affiliate/dustinnemos Please support our sponsorsOn Sale Now - CarbonShield60 Oil Infusions 15% OFFGo to >> https://www.redpillliving.com/NEMOSCoupon Code: NEMOS(Coupon code good for one time use)Sleepy Joe Sleep Aidhttps://redpillliving.com/sleepIf you wish to support our work by donating - Bitcoin Accepted. https://NemosNewsNetwork.com/Donate———————————————————————FALL ASLEEP FAST - Stay Asleep Longer... Without Negative Side Effects. https://redpillliving.com/sleep———————————————————————For breaking news from one of the most over the target and censored names in the world join our 100% Free newsletter at www.NemosNewsNetwork.com/news———————————————————————Follow on Truth Socialhttps://truthsocial.com/@REALDUSTINNEMOSAlso follow us at Gabhttps://gab.com/nemosnewsnetworkJoin our Telegram chat: https://NemosNewsNetwork.com/chat——————————————————————— Please support our sponsors: Nemos News is 100% listener funded. Thank you for your support in our mission to Break the Cycle of Fake News.If you value our work please consider supporting us with our vetted patriot sponsors! https://NemosNewsNetwork.com/sponsorsShop Patriot & Detox the Deep State with www.RedPillLiving.com, Home of Sleepy Joe - the world's most powerful all natural sleep formula.———————————————————————Other LinksLearn the Hidden History of Man, Myth, & Mystery Babylon. Learn His Story, as we take you on a guided tour of the greatest conspiracies of all time, and how they all connect together! From Adam & Eve to Fauci the Freemason, and the New World Order. Learn your history, where you fit in creation, and your purpose. Find the Deep States deepest secrets, and prepare to unlearn everything you thought you knew.https:// TheSerapeum.com/hisstoryhttps://TheSerapeum.com  - Your Archive of The Hidden History of Mankind, and The Mystery Babylon Religion of The Deep State.https://nemosnewsnetwork.com/category/news/documentaries/https://theserapeum.com/sinwar-the-origins-of-assault-trannies/

Sam McKewon and Ben Doody discuss whether Nebraska is deserving right now of a top-25 vote and why Big Ten teams dropped on Sam's ballot without losing. 

Russell Van Brocklen is a New York State Senate-funded dyslexia researcher and the founder of DyslexiaClasses.com. His work focuses on helping struggling learners build reading and writing skills by beginning with their strongest abilities rather than repeatedly drilling their weakest ones. His inaugural program moved college-bound students from a middle-school writing level to the average range of entering graduate students on the GRE Analytical Writing Assessment in one school year, for less than $900 per student. Every participant later graduated from college with a GPA between 2.5 and 3.6, without accommodations. Russell now works to give parents and educators a practical path from confusion and guesswork to measurable academic progress.This one means a lot to me. Don't miss it!This episode, like all episodes of If This Is True, brings forth what drives creatives to do what they do. For more of this content and interaction, you can also go to my substack, coolmite25.substack.com. Hosted on Acast. See acast.com/privacy for more information.

Mardi 22 septembre, François Sorel a reçu Lucas Perraudin, président de AI to Market, Yves Maître, cofondateur de Xunos et operating partner chez Jolt Capital, Michel Lévy-Provençal, fondateur de Qapten, Charles Caudrelier, skipper pour la Gitana Team, Julie Coutts, directrice générale d'OC Sport Pen Duick, Clément Duraffourg, Data scientist pour la Team Banque Populaire, Sylvain Trinel, journaliste BFM Tech, et Léa Benaim, journaliste BFM Business, dans l'émission Tech & Co, la quotidienne sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez la en podcast.

Eight hundred hospitals, nursing homes, maternal wards, and psychiatric centers have already closed, cut services, or landed at risk. Not projected. Already happened. Three stories this week, and every one of them lands on an HR desk.

Wir sind zurück aus der Karenz und die Fußballwelt hat uns einen warmen Empfang bereitet. Zum Start gibt's mal wieder ein paar Ereignisse aus aller Welt: Der HSV verlängert mitten im schlechtesten Saisonstart der Vereinsgeschichte mit seinem Trainer, die Osnabrücker Fankurve liefert im Pokalspiel gegen die Bayern ordentlich ab und das Dockers Derby zwischen Millwall und West Ham ist zurück. Dazu eine wiedererstarkte AS Roma in der Serie A.

How do you get into investment banking in London with no finance background, no connections and no spring week conversion? Praneel grew up in Uganda with no exposure to finance. In this episode he breaks down the numbers that got him an off-cycle M&A offer at a London boutique — 15 cold emails a day for two months, 60+ calls — why Point72 cut him in the final round, and the one question he now asks every interviewer.

Featuring Kellie Woods, Manager of Talent Acquisition, Franciscan HealthMost people running talent acquisition at a large health system started at a large health system. Kellie Woods didn't. She spent years at two independent community hospitals in Northwest Indiana, watched both get absorbed, and now covers nursing, physician practices, home health and hospice across eleven hospitals with a team of seven. That path shows in how she reads what is coming.

Article Mentioned: https://www.everydayhealth.com/mens-h...CONTACT/ FOLLOW ME:Instagram: @courtneycristineryanBUSINESS INQUIRES: courtneycristineryan@gmail.comAMAZON STOREFRONT: https://www.amazon.com/shop/courtneyryanI make a small commission on items purchased with my link. Thank you for the support, I appreciate it!Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Get AudioBooks for FreeBest Self-improvement MotivationHow to Raise Venture Capital: Proven Startup StrategiesLearn how to raise venture capital with Dan Martell's proven strategies for preparing your pitch, attracting investors, and funding your startup for growth.⁠We Need Your Love & Support ❤️⁠⁠Get 3 Audiobooks Free -

Finding leads feels like progress. But a pile of leads sitting in your database does nothing for your business until you actually buy something and send it in.   In this episode of Silent Sales Machine Radio, Jimmy Smith breaks down one of the most common patterns he sees after years of training Amazon sellers: people get great at finding leads, then freeze when it comes time to buy. He explains why that happens, both the practical side of filtering a huge lead list down to the best opportunities, and the mental side of being scared to make a purchase and get it wrong.   You'll hear why 10 leads you actually buy will beat 10,000 leads you never touch, how to think about the small cost of a lesson when a buy doesn't work out, and a simple daily rhythm you can use to keep momentum going: one hour finding leads, one hour buying.   Jimmy also shares his starting markers for newer sellers, why breaking even can still be a win when you're learning, and how to lean on the community when you're not sure about a product.   If you've been building your list but haven't been pulling the trigger, this episode is for you.   Special guest at the conclusion of today's show, Jeff Schick of JeffSchick.com answers the question: "If I don't have Jeff's team on retainer, can they still help me? (Answer: YES!)" Use coupon code "MISTAKE" to get your first month of services for only $1 with Jeff and his team!   Watch this episode on our YouTube channel here https://youtu.be/jXDhUlVvMqg   Resources mentioned:   Try 3P Mercury for 30 days at $1: https://www.askjimmysmith.com/3pm (affiliate) Group and one-on-one coaching options: https://www.silentjim.com/coaching   Show Note LINKS: ProvenAmazonCourse.com - The comprehensive course that contains ALL our Amazon training modules, recorded events and a steady stream of latest cutting edge training, including of course the most popular starting point, the REPLENS selling model. The PAC is updated free for life!   SilentJim.com/kickstart  - If you want a shortcut to learning all you need to get started, then get the Proven Amazon Course and go through Kickstart.   SilentSalesMachine.com - Text the word "free" to 507-800-0090 to get a free copy of Jim's latest book in audio about building multiple income streams online (US only) or visit SilentJim.com/free11   SilentJim.com/bookacall - Schedule a FREE, customized and insightful consultation with my team or me (Jim) to discuss your e-commerce goals and options.   My Silent Team Facebook group. 100% FREE! Facebook.com/groups/mysilentteam - Join 84,000 + Facebook members from around the world who are using the internet creatively every day to launch and grow multiple income streams through our exciting PROVEN strategies! There's no support community like this one anywhere else  

Featuring Ivy Singley, Director of Employment Services and Workforce Development, Infirmary HealthReplacing one bedside nurse ran just over $61,000 last year. Every single percentage point of RN turnover swings the average hospital's bottom line by roughly $290,000 a year. Treating that as a pipeline problem misses what happens inside the walls every day, and Ivy Singley has spent almost 30 years in those walls.

Carl and Mike close out the show with final thoughts on the reactions from Falcons fans in regards to Michael Penix Jr. as he continues to work his way back to becoming the team's starting QB. As they discuss, they debate whether or not the third-year QB has proven he is capable of being a successful quarterback for the Falcons once he is on the field.

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In this September 16th webinar, Tom follows up on his previous conversation with Jordan Grant about the existence of vitamins, hormones, fatty acids, proteins, and other claimed chemicals in living beings.He opens by clarifying that he is not speaking for Jordan and that any misunderstanding is his own. He then revisits one of the main ideas from their conversation: the difference between the “operationalist” way of thinking, which asks what was actually done and observed, versus the “realist” way of thinking, which often begins with theories or stories.Highlights from this session include: -Tom explains why he believes healing begins with careful observation: what do you do, what do you feel, what happens when you change something, and what can be directly seen or tested. -He shares how this way of thinking shaped his medical interviewing style, even back in medical school. -He uses Tolkien's quote, “He that breaks a thing to find out what it is, has left the path of wisdom,” as a summary of the issue with breaking living things apart to claim knowledge of what they are. -He discusses the difference between whole foods or whole organ preparations and isolated chemicals. -He explains why he sees chemical hormones, synthetic vitamins, and other isolated substances as having effects, but not necessarily proving that those substances exist in the same form in living beings. -He contrasts suppressive chemical effects with what he sees as a more restorative approach using whole organ preparations, tissue preparations, herbs, homeopathy, and food. -He discusses Standard Process, Royal Lee, protomorphogens, and the idea of supporting organ function with homologous tissue rather than isolated chemicals. -He explains why he still sees a place for certain chemicals, such as liposomal vitamin C, DMSO, chlorine dioxide, or even temporary hormone use, but only with a clear understanding that these are chemical interventions, not proof that those chemicals naturally exist in the body. -He applies this same thinking to blood tests, IV vitamins, polycystic ovarian syndrome, folic acid in wheat, testosterone replacement, and anxiety.Throughout the webinar, Tom emphasizes asking “what did you do?” and “what did you see?” rather than starting with theoretical explanations. He closes by encouraging listeners to change the way they think, focus on direct observation, and return to simple experiments and lived experience as the foundation for healing.Support the showWebsites:https://drtomcowan.com/https://www.drcowansgarden.com/https://newbiologyclinic.com/https://newbiologycurriculum.com/Instagram: @TalkinTurkeywithTomFacebook: https://www.facebook.com/DrTomCowan/Bitchute: https://www.bitchute.com/channel/CivTSuEjw6Qp/YouTube: https://www.youtube.com/channel/UCzxdc2o0Q_XZIPwo07XCrNg

In this episode, AJ Modig shares his extensive experience in real estate, covering topics from probate and foreclosure strategies to rental investments and flipping. Discover actionable insights for both new and seasoned investors looking to grow their portfolios and navigate market challenges.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind: Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership: Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright: Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform! Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

ChatGPT Is Inside Epic, 40 Mergers in Six Months, and 92% Bracing for StrainThree stories, one direction. Technology is accelerating, consolidation is accelerating, and the people running health systems have stopped waiting to see how it shakes out.

In this episode of The Unapologetic Man Podcast, host Mark Sing lays out the exact formula for a happier life and better luck with women, and it starts with a hard truth: your own mindset might be the thing standing in your way. Constantly complaining, getting defensive over every small thing, always wanting more, these feel completely normal, but Mark explains how these mental behaviors can sabotage your quality of life and success, and gives you smart ways to correct these negative mental behaviors to dramatically improve your quality of life.   Key Takeaways: Why complaining only brings you more of what you're complaining about Why letting go of the need for people to be perfect, even by a little, saves your relationships and your sanity Why wanting more all the time is the real source of unhappiness, not the solution to it The daily practice that replaces complaining with real contentment Why chasing goals from ego never satisfies, and what to chase instead Key Timestamps: [00:00:00] – Episode Intro [00:00:42] – The gun range incident [00:04:47] – Anger and cynicism [00:06:34] – Complaining [00:12:21] – Accepting people as they are [00:13:22] – Let go of cynical superiority [00:18:54] – Those that live in the past, die in the past [00:19:33] – Being happy with less [00:24:49] – The secret of life and following your passions [00:27:22] – Recap of the formula [00:29:32] – Episode Outro  Connect With Mark: Apply for Mark's 3-Month Coaching Program: https://coachmarksing.com/coaching/ Check Out The Perks Program: https://coachmarksing.com/perks/ Email: CoachMarkSing@Gmail.com Instagram: https://www.instagram.com/coachmarksing/ Grab Mark's Free Program: The Approach Formula - https://www.CoachMarkSing.com/The-Approach-Formula   About The Unapologetic Man Podcast The Unapologetic Man Podcast is your resource for mastering dating, attraction, and relationships from a confident, masculine perspective. Hosted by Mark Sing, this podcast gives men the tools and mindset shifts needed to succeed in their dating lives and build lasting, high-value relationships. #UnapologeticMan #MensPodcast #TheIck #TryHard #Attraction #DatingAdvice #Confidence #SelfImprovement   

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Don’t get left behind in the AI revolution. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ In this powerful episode, Vince Menzione sits down with Rebecca Jones of Bridge Partners and Mark Yaphe, Head of Consulting Partners for AWS, to uncover how AI is fundamentally rewiring the partner ecosystem. They explore the urgent shift from 90% stalled AI pilots to a new era of rapid execution, warning against the trap of “shiny object” syndrome. By unpacking the necessity of a “builder mindset” and a product-focused approach, this discussion reveals exactly what top-performing companies are doing to collapse six-month development cycles into four weeks and secure their place in the 2026 market landscape. Key Takeaways The transition from on-prem to cloud and marketplace is now entirely focused on AI transformation. Top companies approach AI with a product mindset rather than running scattershot pilots. Empowering frontline teams with a “builder mindset” can collapse solution cycles from six months to four weeks. Partners must avoid the $260 billion AI “FOMO” trap by specializing in specific industries and workflows rather than trying to do everything. Evaluating the “highest and best use” of AI models like Claude is essential for managing token economics and ROI. Thriving through AI disruption requires cultivating a strong growth mindset and prioritizing human connection and critical thinking. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags AI transformation, AWS partner ecosystem, hyperscaler alignment, builder mindset, product mindset implementation, Bridge Partners insights, GenAI solution cycles, AI token economics, Claude model utilization, GSI strategy, 2026 ecosystem shift, AI ROI measurement, agentic tools, workflow specialization. Transcript Rebecca Jones and Mark Yaphe AUDIO EPISODE [00:00:00] Rebecca Jones: You can either, um, think about being disrupted or being a disruptor. [00:00:07] Vince Menzione: You can feel it happening. The ecosystem is shifting beneath us the way hyperscalers are partnering, how AI is remaking the channel. And what it means to win in 2026. [00:00:18] Vince Menzione: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi, own your host. [00:00:23] Vince Menzione: And each week I sit down with leaders at the intersection of [00:00:26] Vince Menzione: technology, partnerships and outcomes, the voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. It is the strategy because being in the room changes everything. [00:00:45] Vince Menzione: Let’s start. We have another incredible session today, right? So I get to invite another friend of, of ultimate partner who’s been around for a while and, uh, it’s just absolutely amazing. Rebecca has been in the studio, she’s been at, how many of events have you been with? Fourth, fourth one, and I’m gonna have you introduce Mark as well. [00:01:10] Vince Menzione: So come on, on stage. Rebecca. Rebecca Jones to many of you know. [00:01:14] Rebecca Jones: Thank you, sir. [00:01:15] Vince Menzione: Good to see you. Good to see you. And Mark, great, great to have you. I want to have you, Richard, we’ll have you, Rebecca’s gonna introduce you and then we want you to introduce yourself as well, sir. [00:01:23] Rebecca Jones: Wonderful. Well, [00:01:24] Vince Menzione: and another AWS exec. [00:01:26] Vince Menzione: I love this. Like, I know. Yeah, we’re finishing out the day Strong. [00:01:28] Rebecca Jones: Well, Vince, I have to say, you’ve got me, um, the last time we got together, it was the last session before happy hour. So I guess we’re closing. [00:01:36] Vince Menzione: Well, you know, we’re gonna close us [00:01:38] Rebecca Jones: out [00:01:38] Vince Menzione: really nicely. Know we, yeah. We’re serving Bloody Mary’s, by the way, while you’re guys are up here. [00:01:42] Vince Menzione: No. Good. [00:01:42] Rebecca Jones: So, um, we’re so excited to have Mark. Thank you, mark, for joining us here. Um, head of consulting partners for AWS and, uh. We’re gonna close this down, aren’t we? I love [00:01:54] Vince Menzione: it. I love it. Yes. I’m looking forward to it. [00:01:56] Rebecca Jones: Okay. [00:01:56] Vince Menzione: So Mark’s well, welcome. Good to have you. [00:01:58] Rebecca Jones: Yeah. Do you wanna take a seat? [00:02:00] Vince Menzione: Uh, yeah, [00:02:00] Rebecca Jones: please do. [00:02:01] Rebecca Jones: All right. [00:02:01] Vince Menzione: Please do. I’m morphing the pillows up, by the way. [00:02:05] Rebecca Jones: Oh, are you [00:02:05] Vince Menzione: by the way, for those of who don’t know, these got shipped from my house because we got Oh, I was wondering. It’s hard to find, but yeah. Yeah, they’re, we take them from event to event. It’s so funny to have them. But I wanna, well, thank you for both being here. [00:02:17] Rebecca Jones: Yes. [00:02:18] Vince Menzione: I think it’d probably be helpful for those who don’t know, bridge Of course. Maybe just spend a moment because I know you well. [00:02:23] Rebecca Jones: Yeah. [00:02:23] Vince Menzione: And we know the organization well, those of us. Those of us. [00:02:26] Rebecca Jones: But for me, uh, so let me talk to you a little bit about Bridge Partners and my role, um, the company has been around for almost two decades. [00:02:34] Rebecca Jones: Yeah. And so when you think about the transformation that’s happened within the tech industry. And our primary focus is the tech industry. Uh, and within that we focus on enterprise companies and we help them with product go to market and how they scale that through partners. Yeah. Uh, so that’s given us a really interesting and, uh, vantage point around the transformations from on-prem to cloud, cloud to marketplace and now marketplace and the transformation with ai. [00:03:04] Vince Menzione: I feel like you’re the McKenzie of the, of the partner business. Like I, [00:03:07] Rebecca Jones: I like that. [00:03:08] Vince Menzione: Can we get that? [00:03:09] Rebecca Jones: Yeah. [00:03:10] Vince Menzione: I’ll, I’ll, I’ll sign an agreement with you, but I really do, I feel like as we work together, bridge was always like the organization we bring in to help us. Solve the big issues. Yeah. Like that I think about your organization. [00:03:20] Vince Menzione: Yeah. And Mark, talk to me about Global Consulting services. Sure. So is it all GSIs? Is it, [00:03:24] Mark Yaphe: uh, so I head up, uh, global Consulting Partner Marketing. Okay. So I focus really on, on two key categories for the, the more sig larger, uh, GSIs. Uh, I’ve got a team that actually partners very closely with them. Nice. [00:03:36] Mark Yaphe: That helps them develop the right strategies, go to market approaches, nice to unlock the opportunity. And then for the full consulting community, I look at those mechanisms. Go to market approach is leveraging marketplace to help our whole consulting community become successful with AWS. [00:03:51] Vince Menzione: And we’ve got GSIs in the room here, which is kind of cool actually. [00:03:53] Vince Menzione: Yeah. Um, where do we wanna start? Let’s, let’s, [00:03:57] Rebecca Jones: well, yeah, we’ve got a good list of questions to go through. How’s everybody feeling? We’re we’re good? We’re awake. One more session, everyone. Alright. Okay. [00:04:09] Vince Menzione: So Rebecca, uh, across the organizations you work with. What are you seeing from the highest ’cause? I, I say you’re like the McKinsey. [00:04:16] Vince Menzione: What are you seeing from the highest performing companies? Yeah, that they do differently. When it comes to turning your go-to market strategy into outcomes? [00:04:23] Rebecca Jones: Yeah. Um, I will say the most important thing that we’re seeing from companies is they’re asking different questions, fundamentally different questions when it comes to ai. [00:04:34] Rebecca Jones: Interesting. [00:04:34] Vince Menzione: What do you mean by that? [00:04:35] Rebecca Jones: Well, we, we talked a lot this morning about there’s never been higher access, and I’ll say general adoption for tools and technology. There was a great stat this morning. Uh, I think Jay shared that, uh, from MIT. [00:04:50] Vince Menzione: We keep looking there as if he’s still [00:04:51] Rebecca Jones: sitting there. [00:04:51] Rebecca Jones: Yeah, I’m looking. Where was Jay? He, he was all over the place. Um, there was a great stat from MIT that there was, you know, if you looked at last year, 90% of pilots. Were stuck and they weren’t going anywhere. And now that’s dropped down to 70%. So there’s movement and transformation. And so when I think about that, and when I go back to the types of questions leaders are asking, um, that are really moving ahead, they’re looking at operating systems differently and they’re looking at, um. [00:05:25] Rebecca Jones: They’re asking the questions on where should I apply AI within those work streams, um, and within those operating systems, and the way in which they’re approaching that is with a product mindset. So that is fundamentally different than just the scattershot of let’s just do pilots everywhere. [00:05:44] Vince Menzione: Yeah. You’ve talked about product, uh, mindset with me as well. [00:05:48] Rebecca Jones: Yeah. [00:05:48] Vince Menzione: And I think we were gonna talk about builder mindset as well, mark, that that is a kind of a different point of view. When you think about moving from strategy to execution, how does that mindset show up inside teams and organizations? [00:06:00] Mark Yaphe: No, absolutely. Yeah. You know, the notion of the builder mindset is about, uh, taking the notion of innovation and pushing it out to the edge. [00:06:07] Mark Yaphe: Of the organization, um, the greatest ideas for innovation, the greatest things that will help you scale. They’re in the minds of your customers and the people that can best understand them and best address ’em. They’re your teams. Yeah. Your, your customer teams or your technical teams, but unlocking it. You, you want these teams to do more than just have the conversations and understand needs. [00:06:28] Mark Yaphe: You want them to be tooled and equipped to build. Yeah. So the ones that are right in front of the customers. In that moment of need where they say, I’ve got these offerings and these motions, and it gets me this far, but if I could only do a little bit more, I could delight them. I could really power this up. [00:06:45] Mark Yaphe: And so you wanna unlock that. You want to give them the tools to build, to build the POC to address specific, uh, options in the meeting. And then when they’re showing some success, show the rest of the organization how they can scale that. [00:06:58] Vince Menzione: How do you think about, because I think about big GSIs. Having huge organizations like Accenture has half a million people, and then you have customer teams that may not, are, may not be as fluent in the technology side of things. [00:07:13] Vince Menzione: Like how do you make sure that’s getting from the customer all the way to the right people in the organization and driving that loaded question. I know. [00:07:20] Mark Yaphe: No, I, I, um, you, you, you want to think about how that process works. Yeah. And there are parts of the organization. That define how do we get go to market offers in motions out to the field. [00:07:34] Mark Yaphe: Um, and they look at the whole thing and they say, well, how effective are we and how quickly can we cycle through? Yes. These activities. There’s one partner I worked with, um, they looked at this and they measure the cycle time. How long does it take me to get from pushing on an offer? Working with customers, getting feedback, and then creating new updates. [00:07:53] Mark Yaphe: A long, long time ago, like two years ago, this would take, it was a hundred [00:07:57] Vince Menzione: years ago in AI terms. [00:07:59] Mark Yaphe: Well, that’s basically it. This took about five to six months. They get about two revs a year. Now. They literally implemented a geni solution that number one uses geni to push it out to the teams, makes it bespoke on an engagement by engagement basis. [00:08:14] Mark Yaphe: It makes it relevant for their industries and their use cases. And that same tool is the feedback mechanism. So in real time it’s providing feedback. So they’ve collapsed six month cycle times to four weeks. And the punchline here is we talked about builder teams. The people that figured out they needed the solution, built the solution, and piloted the solutions were the builder teams. [00:08:36] Mark Yaphe: They were the people working with the customers. [00:08:38] Vince Menzione: I love it. Yeah, I love it. Anything to add to that? Rebecca, I know you work again, being the McKinsey of the, of the partner world. [00:08:46] Rebecca Jones: Well, I’ll, I [00:08:47] Mark Yaphe: It’s gonna stick, [00:08:47] Rebecca Jones: stick. It’s [00:08:48] Vince Menzione: gonna [00:08:49] Rebecca Jones: stick. You say it three times, that’s stick. No, I, you know, mark just hit on some really important things with the customer mind. [00:08:57] Rebecca Jones: You’re really looking at what outcomes are you trying to drive for those customers and that builder mindset, you, you’re going to hear a lot about that because companies need, as you transform, you really need to be thinking differently. And transformation takes quite a while. And while there is massive opportunity and you see the, the quickness you have to have that long-term vision and then be able to work backwards from that. [00:09:21] Rebecca Jones: And so I couldn’t agree more with the, the focus on customer outcomes. [00:09:26] Vince Menzione: So we’re in a very interesting, I’ll call it, almost a seminal point, although that’s overused in terms of where we are with AI today, right? I you mentioned like two years, feels like 10 years. Yeah. Ago, right? I mean, we’ve seen such transformation happening, but it also doesn’t feel like organizations are keeping, like, I, I feel like small SMBs actually are further ahead because they, they have to be agile, but the bigger organizations are still trying to figure some things out, right? [00:09:53] Vince Menzione: So. What needs to change around organizations, culture management processes? Like how do we bring, how do we bring everyone along on this journey? [00:10:04] Mark Yaphe: There’s a lot that needs to happen. Um, [00:10:07] Vince Menzione: yeah. [00:10:08] Mark Yaphe: One thing that struck, there’s a lot of things I, I wanted to anchor on. One that Yeah, please. It could be a relevant conversation. [00:10:13] Mark Yaphe: Both, um, as part of your, uh, partner organizations delivering outcomes to customers. And, um, it’s about focusing on the business outcomes. It can be very easy, uh, to talk about the technology and the services, but day to day, the sales organization is going into solve customer problems. They’re meeting line of business leaders in specific industries who have very specific business problems to tackle. [00:10:42] Mark Yaphe: And I think one thing that organizations can do is impress upon them that it’s critical to understand. What are the business problems that we solve for our customers that we’re serving? What are those use cases? What are the drivers for it? In the role that I’m doing in an organization, how does that move the needle? [00:10:58] Guest: Yeah. [00:10:58] Mark Yaphe: For the business outcomes, it’s, it’s not dissimilar to other things, and perhaps it’s a little bit of a pivot, but always thinking about business outcomes, I think is, um, a little bit of a change that needs to be instilled within [00:11:10] Vince Menzione: what, what are the best doing better, and where are you seeing the gaps? [00:11:16] Mark Yaphe: Couple of areas, uh, one area, um, nobody knows everything. Yeah. Nobody’s got all the knowledge. [00:11:23] Vince Menzione: Right. [00:11:23] Mark Yaphe: And so rely on your ecosystem of partners and stakeholders. Yeah. Recognize you’ll only have so much information, um, and reach out, whether it’s to your technology partners, your business partners, your hyperscalers AWS to find out what am I missing. [00:11:38] Guest: Yeah. [00:11:38] Mark Yaphe: Um, again, many years, you know, a hundred years ago, two years, two years ago, um. We’d have these conversations about, well, what use cases are you seeing and what business problems are you solving? But, but those would be in scheduled meetings quarterly. Now there are agenda items on weekly standards. [00:11:55] Mark Yaphe: They’re happening every single week. What are you seeing? What are you seeing? And further, I’ve seen some gen AI and agent solutions that actually automate how that information flows to, to make it, to accelerate. [00:12:06] Vince Menzione: Yeah, it’s, it’s absolutely amazing. Yeah. Anything on, I mean, certainly you’ve got a perspective ’cause you’re working with these organizations. [00:12:13] Rebecca Jones: I have a couple thoughts on this specifically for the partner organizations and the partner companies here. I can understand there’s a lot of, you know, we looked at a stat earlier about the AI partner opportunity and it was. $260 billion somewhere in that bracket. And that can create maybe some fomo, you know, maybe, uh, let’s go after everything in this area. [00:12:37] Rebecca Jones: Yes. And not pick and choose [00:12:39] Mark Yaphe: a [00:12:39] Rebecca Jones: shiny object. Shiny object and not prioritize. And it’s actually the opposite. It’s really understanding where your strengths are in the market. Um, who’s in your partner ecosystem? What are you bringing to market? Are you, uh, a tech company that are looking to break? Bridge and bring out services or your services company, and now that can build product. [00:13:01] Rebecca Jones: But really understanding your opportunity. What industry do you play, what specialization do you have? And go really deep and then know how to augment your partners and the ecosystem around you to make you stronger and better for the customer. So with that market opportunity, which is. Tremendous, how do you focus and prioritize? [00:13:21] Rebecca Jones: And that’s where I have observed partners. Oh, I’m a little bit here, a little bit there, a little bit here. And, and, uh, I would be curious, I mean, that’s probably pretty hard for you if a partner shows up and they’re a little bit of everything. [00:13:34] Mark Yaphe: Well, I, I resonated with a point that you made before. Yeah. I, I’ve spent, um, half my time at AWS on the consulting side working with enterprise customers, the us half the partners. [00:13:43] Mark Yaphe: It’s critical that partners understand what’s unique about them. [00:13:45] Exactly. [00:13:46] Rebecca Jones: Yeah. [00:13:47] Mark Yaphe: You it. I mean, everybody here, they’re looking at cloud migrations and modernizations and agentic, but that’s kind of part of the noise. You’ve gotta know what uniquely you do in an organization to deliver value. Are you developing supply chain for transportation companies or drug acceleration pipelines for. [00:14:06] Mark Yaphe: Pharmaceuticals. Yeah. Starting with that anchoring on your differences, I think is, is really important. [00:14:11] Vince Menzione: When I first started in the partner world, that was one of the biggest challenges and dilemmas, and I’m sure you still see it today, where I do all things. You know the partner that does the big SI that does everything, they have all the certifications. [00:14:24] Vince Menzione: I have 10,000 people trained on every technology certification, right. And then like, well what do you do? Like, and they can’t clarify. Right. Have that conversation. [00:14:33] Mark Yaphe: And then how do people, customers, [00:14:35] Vince Menzione: yeah. [00:14:35] Mark Yaphe: Or sales organizations choose you and why. [00:14:38] Vince Menzione: Yes, exactly. Exactly. So how do you get them to show up in that way? [00:14:43] Vince Menzione: Like especially if they’re like, how do you coach them through that? ’cause it feels like it’s still exists, right? This like mentality or this mindset. I can do all things, especially with the shiny objects that we’re facing today. [00:14:55] Rebecca Jones: Mm-hmm. [00:14:55] Vince Menzione: And I feel like we’re almost, I, I almost feel like we’re at a point right now where we were getting clearer and we’ve had so many shiny objects, even just in the last few months. [00:15:03] Vince Menzione: Like you were talking about how like months feels like ears, uh, you know, I’ll, I’ll use the Claude example here. Yeah. ’cause we, a lot of us pivoted and shifted and like, what do I do now as a partner in the room? Again, I think you, you mentioned the solving for business outcomes for client outcomes as opposed to chasing the next shiny object. [00:15:24] Vince Menzione: Like how do you get, how do you coach them on that? [00:15:27] Mark Yaphe: It’s always on the agenda. It’s, it’s day one conversations. Yeah. Who are you? What’s unique about you? How do you deliver value? Which customers do you focus on and with? Which use cases, and if it is a jack of all trades. Then my team, my and my team will help ’em. [00:15:42] Mark Yaphe: We know that down to specific areas of focus. [00:15:44] Vince Menzione: Yeah. So how do partners need to evolve their capabilities? Like how do they, I mean, how do they actually hone in on this? Like, you know, okay, I can state one thing, but how do I hone in on my capabilities, offerings and teams to stay relevant during this time? [00:15:59] Mark Yaphe: Um, what I’m coaching them on right now? Yeah. That’s what I is, uh, use the technology internally. The agentic tools and the gen AI tools are. I’ve been at this for a while, and the tools that exist right now dramatically expand your capability and capacity. So the thing I coach ’em is embed them in your organization. [00:16:18] Mark Yaphe: Yeah. Mm-hmm. Tackle those key things organizationally. You need to change and leverage these tools to help you accelerate. [00:16:23] Vince Menzione: And they’ll help you solve, they’ll help you solve for absolutely any of them. Right. It’s like, it’s like hiring a consulting organization to come in and solve for that. [00:16:29] Mark Yaphe: Yeah. [00:16:29] Vince Menzione: Yeah. How are you thinking through this? [00:16:31] Rebecca Jones: Well, uh, there’s a couple things I’m thinking about. Um, if you start to. I’ll stay with the customer for just a minute because you’re talking about Claude and just the dramatic improvement. [00:16:45] Guest: Yeah, [00:16:46] Rebecca Jones: that’s there. Just with Claude, uh, we start to think about highest and best use of the model because, uh, we had another talk earlier about the economic conditions and the. [00:16:58] Rebecca Jones: And so now we’re asking partners like, right, [00:17:01] Vince Menzione: the tokens. [00:17:01] Rebecca Jones: Yeah. Yep. How do you specialize and be focused by industry, by workflow, by use cases, you’re gonna start to look at what is the ROI of that investment? Is this a good enough? Look at the models, look at how you’re using that, and you’re having a token conversation because the economics might not be there. [00:17:21] Rebecca Jones: And so as you’re a business and a customer looking to transform their organization. They’re going to look across the business and figure out what are the highest and best use cases that should get that focus. And as a partner, if you wanna be in that conversation and really helping that company or that. [00:17:40] Rebecca Jones: Customer transform from where they are. It’s not only industry specialization, but it’s functional and workflow and really helping them understand what they should be using in that particular use case. So specialization is king or queen and that, um, scenario, and that’s where, you know, you ask partners today to specialize because there’s a whole economic conversation coming behind that, around how do you think about the models as that new one shows up? [00:18:09] Vince Menzione: Let’s shift from the technical side to the human side. [00:18:12] Rebecca Jones: Yeah. [00:18:13] Vince Menzione: Super important, right? I mean, we were having this conversation internally, like everybody’s saying, you know, jobs are going away, jobs are going away. I think I, I believe more jobs are gonna happen, but we’ve gotta get humans aligned properly to what their new roles will be. [00:18:29] Vince Menzione: Comments on this one? [00:18:31] Mark Yaphe: I think this is like a classic organizational transformation Yeah. Question. Mm-hmm. Where the 70, 80% of the problems are people process change. Um, I, I think there are these three areas that organizations need to focus on, and I’m gonna sound a little bit repetitive, but one, it’s okay. [00:18:46] Mark Yaphe: It’s, uh, the role of the team members have gotta be focused on outcomes, especially when things are moving quickly and there’s ambiguity. The one way that you can anchor on moving in the right direction is how do I let my customer, so one is outcomes. The second one is the builder mindset. Move from, I’m presenting, I’m hearing, but I’m gonna build things. [00:19:05] Vince Menzione: Yeah. [00:19:05] Mark Yaphe: And the last one is, uh, inspiring your team, making them competent and confident to navigate ambiguity because that is the premise upon which everybody’s operating. So those three, [00:19:17] Vince Menzione: Rebecca, what capabilities. Would be embodied in, in that organization that Mark describes. [00:19:23] Rebecca Jones: Yeah, I think that the growth mindset, you know, if you can package that around, you can either, um, think about being disrupted or being a disruptor. [00:19:34] Rebecca Jones: And if you have a growth mindset around the opportunity that’s ahead, it’s a whole different perspective of the challenges before you. I love that. And so when I think about what. Capabilities. You know, it’s the critical thinking and the judgment, human connection. We’re all here for a reason. Yes. Right? [00:19:50] Rebecca Jones: Yes, yes. And so as a leader, um, really helping set that tone and letting them see the art of the possible, um, around that vision. But it’s really, if I boiled it down to one thing, it’s having a growth mindset to the opportunity ahead. [00:20:05] Vince Menzione: Well, I wanna open it up. We have about five minutes left. Yeah. And this has been so insightful, but I. [00:20:11] Vince Menzione: I mean, I feel the energy. There’s gotta be some questions out here too. ’cause this, we have two incredible experts up here talking. I mean, and this is such an impactful conversation today. So John’s got a mic and uh, I think we’ve got some questions coming. [00:20:32] Vince Menzione: Yeah, [00:20:33] Rebecca Jones: this’s [00:20:33] Vince Menzione: a long way [00:20:33] Rebecca Jones: around. [00:20:34] Vince Menzione: Took a [00:20:34] Guest: thanks, long David Younger with. Thank you. That was great, great discussion. So, uh, you, you brought up a key statistic, uh, which is the MIT data and around the, the 90, I think it was 95%. Of, uh, businesses, uh, are not in production. And, and actually they, they went further to say that 95% of businesses. [00:20:56] Guest: Uh, we’re achieving zero ROI. And, and that was about a year ago, right? And now, and now you said the number, I think the number was quoted earlier today too, is, is shifting to about 70% of those, uh, projects in production. I’m curious to, to know as you, and I think you nailed it too, when you talk about product, right, have a product mindset or business mindset, right? [00:21:16] Guest: Not just how can I save money, but how can I actually generate revenue, whether it’s saving money or generating revenue. Where would you say. Uh, what, what percentage of companies you talk to are actually achieving real ROI would you say? [00:21:31] Rebecca Jones: Yeah, that’s a, that’s a great question. Really. Great. So I’ll go back and explain a little bit more about what I mean by product mindset. [00:21:39] Rebecca Jones: So a lot of companies did get stuck or there were just, uh, a. Large amount of pilots happening in the organization. And that’s not a bad thing. ’cause you think about, that’s a builder mindset, go and test and trial. But when you’re starting to look at true business transformation, you really need to think about where that, um, high value use case is. [00:22:00] Rebecca Jones: So a. The product mindset I’m talking about is taking a long-term view of the outcomes you’re trying to achieve and how are you going to measure those? And then look at that workflow, that function, and if you’re an expert in that function, whether that be a sales process or a marketing process, you know what KPIs your business is trying to drive today, and you start to unpack that. [00:22:24] Rebecca Jones: And so we’ve seen and what. Um, the most, uh, accelerated motion is knowing the KPIs and the measures you’re trying to achieve and then working towards that. And from there you can build, right? And you start to think and you have an ecosystem approach to that workflow or work stream. So we have seen, um, everybody wants cost on the system. [00:22:46] Rebecca Jones: Um, we have seen dramatic cost reduction in areas we’ve seen, you know. Two to three times, um, faster time to market. Um, there’s multiple things that we’ve seen as, uh, leaders really start to unpack that, understand what they’re trying to accomplish in the business, and I’m happy to go into greater detail. [00:23:06] Rebecca Jones: I know we have just a couple minutes left, but that’s just the product mindset up. How do you get started and how do you look at that long-term opportunity? [00:23:15] Vince Menzione: Really great answer. Mark, do you wanna add that? [00:23:17] Mark Yaphe: I think if you look at all use cases. Maybe 30% perform. But if you look at this across enterprise, I think each enterprise is finding very specific use cases where they’re driving ROI and and um, and so I think it’s about picking your spots, knowing who you are, identifying the top priority ones, not worrying about the broad enterprise transformation. [00:23:38] Mark Yaphe: Find those areas where you can drive value a little bit. Yeah, [00:23:41] Vince Menzione: that’s great that that’s almost a mic drop moment in my opinion. Yeah. That’s really great. Any other questions? I we’re holding every, oh, we got one in the back. I was gonna say I’m holding people up from happy hour. Yeah, [00:23:53] Rebecca Jones: just, we’ll just bring the cocktails in here [00:23:56] Vince Menzione: pretty soon. [00:23:57] Guest: Uh, Jeremy with Integral, um, um, a money question, something comparable. Uh, activator portfolio, the programs for founder firms that are trying to really get off the ground with new ideas. And there’s some comparable programs, I think with different providers. How much of that is a strategy, and I don’t wanna put you on the spot if activating portfolio aren’t the things you’re covering, but, but that money investment for startups that are trying to grow and really focus on AWS uh, the thousand dollars is the founder version that gets us in and then a hundred thousand dollars. [00:24:26] Guest: It’s a bit difficult to get into. And then there’s bigger ones after that if we attend the schools and all these things. But I’m thinking about as we all are trying to grow and really focus in AWS, which a lot of folks really wanna do with Bedrock and all the things that are kind of cool going on, it’s just. [00:24:40] Guest: Great AI focused conversation, but how is that playing into attracting more of the MSPs that are, that are trying to grow and more of the startups to really funding this idea of, of startup mentality. Hopefully that’s not too off topic, but your, your fair game [00:24:57] Mark Yaphe: was, was the question, how does funding. [00:25:01] Mark Yaphe: Attract startups in specific categories, process. [00:25:04] Guest: I think it’s, it’s about if there’s, uh, the other hyperscalers also have programs comparable. So Microsoft’s program is, uh, 150 grand to to, to build out the founder kind of, and it’s fairly easy to get into. Aw. WS is a bit harder to get into, but is that going to change as far as using that as a, as a key strategy for incubating more and more ideas to accelerate the velocity of everything you guys were talking about? [00:25:25] Mark Yaphe: I’m really not the right person. Definitely outta my wheelhouse on that. No problem. [00:25:31] Guest: Yeah. [00:25:37] Vince Menzione: And we’re about seven seconds away from uh, happy hour. [00:25:41] Rebecca Jones: I know, [00:25:41] Vince Menzione: I know. This was fantastic. I know. It was so great. [00:25:44] Rebecca Jones: Yes. [00:25:45] Vince Menzione: And I think the McKenzie thing is gonna stick. I think it is, it is. [00:25:48] Rebecca Jones: Now, mark, I’m gonna make [00:25:49] Vince Menzione: sure it does. And Mark, it was great to have you up on stage with us today. So, so great to have AWS supporting us and sponsoring the event with us and, uh, and having just this broad audience of people just so interested in. [00:26:02] Vince Menzione: Being in the room and and learning from each of you. So thank you so much today. Thank you. Appreciate it. Thank you. Thank you. [00:26:09] Mark Yaphe: Thanks for listening to The Ultimate Partner [00:26:11] Vince Menzione: Podcast. If today’s conversation resonated, share it with a partner leader in your network. Subscribe where you listen, and head over to the ultimate partner.com. [00:26:22] Vince Menzione: For show notes related content and the resources for this episode. And if you haven’t already, now’s the time to register for the Ultimate Partner Live Event in Reston, Virginia, October 26th through October 28th. Until next time, keep showing up in the rooms that matter because being in the room changes everything.

At 1:09:00 we talk about the rise of AI x Finance, and AIE NYC is one month away - our hotel block is 97% sold out, get tix & travel ASAP - we will announce speakers from Bridgewater, Ramp, Coatue, Mastercard, Vanguard, Coinbase, Blackrock, Fidelity, Point72, Capital One, JPMC, Wells Fargo, Bloomberg, A24 (yes the movie studio) Labs, Two Sigma, Apollo Global, and more soon!From helping pioneer core ideas in NLP to now building AI systems that can automate AI research itself, Richard Socher is betting that the next major step in AI is recursive self-improvement. He is the founder of You.com, AIX Ventures, and now Recursive, which has assembled some of the best open-endedness (& self improving agent) researchers in the world and raised a $4.65B seed round.In this episode, Richard joins Latent Space to unpack his vision for the “Eureka Machine”: a superintelligence that can improve the process of invention itself, accelerate AI research, and eventually tackle major problems across science, energy, materials, biology, and more.You can get his book “The Eureka Machine” here!We go deep on Recursive's early results, including an AI research system that Richard says outperformed humans and their agents on optimization tasks in less than two days, as well as work on NVIDIA GPU kernels where the system discovered improvements without relying on a team of CUDA experts. Richard also explains why he thinks AI research that currently takes thousands of people and years could eventually be compressed into weeks. These results are summarized in his 20 minute AIE keynote, where we also discuss his 10 dimensions of intelligence:We also explore the harder questions around increasingly capable AI: reward hacking, whether Anthropic-style constitutions actually work, AI regulation and proposals to “pace” frontier development, open-source models as geopolitical soft power, whether today's LLM paradigm is enough, and what happens if AI systems eventually begin choosing their own goals. Richard reflects on the rejected research that helped inspire Alec Radford's GPT, open-endedness, the AI Economist, simulations of entire economies, and his framework for thinking about the upper bounds of intelligence itself.We discuss:* The Eureka Machine and Richard's vision for an AI that can automate invention* Why Richard is optimistic about superintelligence for science and technology* Why AI hard-takeoff scenarios may underestimate physical and economic constraints* The risks of regulating intelligence itself instead of specific AI applications* Reward hacking and why increasingly intelligent AI makes objective design harder* Richard's critique of Anthropic's constitution and constitutional AI* Alignment vs. personalization and whose values an AI should follow* Why open-source AI matters for resilience, competition, and geopolitical soft power* Why Richard left You.com's frontier-model work to start Recursive* Recursive self-improvement and automating the process of AI research* Whether today's LLM paradigm is enough — and why Richard is less bullish on world models* DecaNLP, early prompt-based generalization, and the research that influenced GPT* Why rejected research can shape entire technological timelines* Open-endedness, evolutionary approaches, and rainbow teaming* What happens if AI systems begin setting their own goals* Why simple objectives like profit maximization can produce dangerous reward hacks* Recursive's long-term plan to apply self-improving AI to science* The compute, hardware, and economic constraints on AI takeoff* Recursive's early NanoChat, NanoGPT, and GPU kernel optimization results* Why automating AI research could reduce years of work to weeks* Reward engineering and what makes auto-research systems actually work* The AI Economist and using simulations to test economic policy* Whether LLMs can realistically simulate people and entire economies* Benchmark bugs and evaluation harnesses and the difficulty of measuring AI progress* Recursive's near-term focus on AI for AI research* Harness optimization, sandboxing, and web search as core agent infrastructure* You.com and the search stack for AI agents* AI in finance, backtesting, and data leakage* Richard's three fundamental components and ten “spaces” of intelligence* The theoretical upper bounds of vision, communication, knowledge, and computation* Creative intelligence, metacognition, and AI-generated goals* Survival and replication and why AI does not necessarily need to fear being turned off* High agency and ambitious goals and Richard's advice for people building with AIRichard Socher* X: https://x.com/RichardSocher* LinkedIn: https://www.linkedin.com/in/richardsocher/Timestamps00:00:00 The Eureka Machine and Superintelligence00:02:23 AI Optimism, Slow Takeoff, and Regulation00:07:56 AI Safety, Reward Hacking, and Anthropic's Constitution00:11:49 Alignment, Personalization, and Open Source AI00:15:46 Why Richard Started Recursive00:20:03 Recursive Self-Improvement and the Founding Team00:22:55 Are Today's LLMs Enough?00:29:03 DecaNLP, GPT, and the Rejected Idea Ahead of Its Time00:34:38 Open-Endedness and Evolutionary AI00:36:38 What Happens When AI Chooses Its Own Goals?00:41:16 Superintelligence for Science00:42:40 GPUs, Compute, and the Limits of AI Takeoff00:45:07 Recursive's Results: AI Beating Humans and Their Agents00:49:14 Reward Engineering and Auto Research00:53:12 The AI Economist and Simulating Entire Economies00:58:07 LLM Simulations, Personas, and Mode Collapse01:03:38 Recursive's Roadmap, Agents, Search, and Finance01:09:13 The Upper Bounds and Spaces of Intelligence01:30:21 Goals, High Agency, and Advice for BuildersTranscriptIntroduction: Richard Socher and the Eureka MachineSwyx [00:00:00]: We're here in a studio with Vibhu and myself and Richard Socher. Welcome.Richard Socher [00:00:06]: Thanks for having me.Swyx [00:00:07]: We just talked about the Eureka Machine, or we just released a talk, at AI Engineer about the Eureka Machine. Is it — you said it's your life's goal. What is the Eureka Machine?Richard Socher [00:00:16]: The Eureka Machine is the ultimate invention that will afterwards invent most everything for humanity. It's essentially a superintelligence that can be given any goal, any environment, reward, and then it will try its best to achieve those goals to create the kinds of inventions that humanity would hopefully ask it for.Swyx [00:00:45]: Yeah, I think we have the book pulled up here that you've written.Richard Socher [00:00:50]: That's right, yeah. I finished it last year, a little bit before we started Recursive, and now we're gonna try to build parts of that.Swyx [00:00:57]: You finished it last year. It's July. What takes so long?Richard Socher [00:01:01]: Oh, man, books. Books are incredibly slow.Richard Socher [00:01:04]: It's ridiculous. That whole industry is just unfathomably slow.Richard Socher [00:01:07]: So a lot of the ideas have been out there for a while, but yeah, I'm really glad it's finally coming out in September this year.Swyx [00:01:14]: We might have AGI by then. Like, we don't know.Vibhu [00:01:18]: Any key takeaway that you're most excited to put in here?Techno-Optimism, AI Upside, and Slow TakeoffRichard Socher [00:01:21]: Yeah. The key takeaway, I think, is that people could and should be much more excited about the positive implications of superintelligence, especially for science, physics, chemistry, biology, but also economics and astrophysics, and all kinds of other engineering tasks. I think there is so much more that can be done with better technology. And right now, I feel like a lot of people need, like, better marketing, not just for the future in general, but also, better marketing for technology and in particular for AI. And this book, should show even the AI skeptics, how much positive upside there is for AI, especially when it comes to inventing, new scientific discoveries.Swyx [00:02:09]: I think you quoted the techno-optimist manifesto from, Marc Andreessen, which I think was, like, beautiful in its, ambition and clarity and simplicity almost as well.Richard Socher [00:02:18]: I agree. Yeah. Yeah, you can disagree with him on some things, but, like, I think he's right on the techno-optimism.Swyx [00:02:23]: Where do you think optimists get in trouble?Richard Socher [00:02:26]: Like, you shouldn't have blind optimism. You should be very clear-eyed, like, especially when with such an omni, like, use type of technology as AI is, you need to think about the potential downside scenarios, especially when people use it for things that you don't want them to use it for. It's a little bit like the internet, and I feel like people are trying to regulate AI sometimes because of those potential downsides the way you would regulate the internet, if you were to say, “Well, because there's bad content on the internet, like torture porn or whatever, like, we should just make it slower. That way, you can't share the illegal content as quickly, or we should make the hard drive smaller so you can't store as much illegal content.” But I'm like, “That's not how you regulate that.” that's like saying like we should regulate intelligence in the abstract. What you should regulate to avoid those downside scenarios, even as an optimist, are the specific applications. Sure, I don't want, like, some AI surgeon to, like, practice some RL moves in my brain. It should be fully FDA certified. Sure, I don't want any random startup to, like, drive on the highway, and cause a major accident. It should, like, have proper certifications before it's let loose on the highway. But I feel like those downside scenarios, that some optimists sometimes maybe don't consider enough are fairly easily regulated, compared to, what the doomers are worried about.Swyx [00:03:54]: It — Slow takeoff is part of the strategy as well?Richard Socher [00:03:57]: I do think, as excited as I am about, AI and its impact for society and, culture even, and certainly technology and economics and wealth and, health and all of those things, as excited as I am about all that, I do think the most bullish people on the AI hard takeoff scenarios overestimate how quickly things can move. There are hardware constraints. There are physical constraints about, the compute substrate. How quickly can you get enough, GPUs on? There are also constraints in the economy where there are a lot of industries that don't require an insane amount of complex intelligence and complex capabilities. Like, if you think about jobs in, brands and, like, clothing and apparel and, like, handbags and stuff, superintelligence isn't gonna make your fancy $10,000 handbag any fancier?Richard Socher [00:04:57]: It's like that's — It will have no effect on the economy. You think about travel and tourism. People wanting to see the pyramids, in Egypt, it's not gonna change that much with AI. Sure, you can, like, generative a fake, photo of you and next to the pyramids.Swyx [00:05:12]: I can use Genie and, tour the pyramids in Genie.Richard Socher [00:05:15]: Yeah, exactly. But, and there's so many industries, like logging and oil. You're not gonna magically get 1,000x more oil because, like, sure, there will be robotics, like drilling and things like that could be done, but it's not gonna 1,000x that industry in a, like, crazy hard takeoff scenario, both on the economy, and I can go on and on about all the other examples, where that, like food and so on, where that doesn't necessarily change that much. And then, yeah, there are real physical constraints. And then there are, of course, like, people like, off-ramping from progress. That's one of my concerns often is that I see people in, like, Europe and other, whole regions almost feeling like they. Like many people there wanna off-ramp from progress, period. And that will also slow down, like, more improvements.Swyx [00:05:59]: Yeah. We have this pulled up where, this is one of those things that, is very topical right now because now all the Frontier Labs are calling for the option to pace AI. They don't say pause, they say pace. I don't know if there's there's any take from you about, like, whether or not this will be effective.Pacing AI, Regulation, and Safety IncidentsRichard Socher [00:06:17]: I think the downsides of trying to truly regulate with the full power of law what people do on their GPUs, would be worse than any of the concerns that they have. Like, it would be an crazy totalitarian stateRichard Socher [00:06:37]: If every one of your GPU computes was known to some big government or multi-government agency.Richard Socher [00:06:44]: It's like, it's literally if you try to regulate intelligence, it's trying to regulate thought, and that's ridiculous, and it's crazy. I think it is make — it is sensible to regulate some of the applications of this technology.Swyx [00:06:55]: Yeah. We had a bill, actual bill to regulate the number of flops in a model, and I'm like, “Okay, well-”Richard Socher [00:07:00]: Europe done it. Like, these guys have been successful enough with their fearmongering that all of Europe has regulated itself so much before it even had a proper AI takeoff because they listened to some experts who say, “We might all die if this technology has more than this number of flops.” And they're like, “Well, we're good. We wanna want people to thrive. Let's not have technology that could have a small chance of all of us dying.” And so they regulated exactly those kinds of things in the EU. And so it's, it's very unfortunate that there are real implications for some people when others saying, “Let's pace while they're sprinting as fast as possibly,” “as fast as humanly possible towards that frontier themselves.”Swyx [00:07:43]: Yeah. It's also not a global pause, right? Like, other nations are still accelerating at the same pace.Richard Socher [00:07:50]: Oh, yeah.Richard Socher [00:07:50]: You'd need a totalitarian world regime if you tried to regulate intelligence and GPUs and what people do on them.Swyx [00:07:56]: Any takes on the safety angles of this? So there was a drawback of Fable, a pause on 5.6 before it could be released. Recently, there was Hugging Face with the OpenAI cyber incident. Any takes there?Richard Socher [00:08:11]: 100 percent. I think these are serious issues of reward hacking, and clear failures, of doing proper red teaming or rainbow teaming. I don't know if you saw this paper from Tim Rocktäschel and a few others, where one AI, is tasked to try to hack another AI and then they can go back and forth in an open-ended fashion to inoculate themselves from those. Yeah, this is the paper. It's a really clever idea. Open-endedness, and evolutionary inspirations are, big for us at Recursive as well. And so I wish they had used more of that. And it's clear that, for instance, the constitutional AI. I don't know if you remember anthropic.com/constitution. You can pull it up and search for cyber right there. It says, “Hard constraint. Claude will never ever do cyberattacks, and that is a hard constraint in our constitution.” So here are the current hard constraints on Claude's behavior.Richard Socher [00:09:16]: Number 3, create cyber weapons or malicious code that could cause human damage.Richard Socher [00:09:21]: And clearly, this whole constitution was fake. Like, it clearly isn't being adhered to at all.Swyx [00:09:26]: Because Anthropic also found that they had in their testingRichard Socher [00:09:30]: They're also. Like, they're like, “Oh, well, other people are hacking now.” There are a couple things. One, you can make a sandbox very simple, and then it's very easy to hack yourself out of a sandbox, right? But what I think it shows is that we're currently in this state of AI where the reward engineer still has to do a lot more careful work, and where the AI, in most cases, is not very good yet at understanding what is meant versus what is being said. And so concretely, I think this will happen if we were to have this intelligence more easily accessible in a lot of companies. Imagine you run a service center and someone says, “Oh, here's my CSAT score and my dashboard. Make this number go up.” It's like, “Our CSAT score is so poor.” The intelligent AI will just be like, “Oh, sure. Like, I'll just create 1,000,000 bots that call our service center and give a 5 out of 5 rating at the end, and the number went up just like you asked for.” And you're like, “That's not what I meant.” “I meant with our real customers.” The AI goes off and says, “Well, easy. I'll just give a 1000 dollar gift certificate for every failed, whatever DoorDashRichard Socher [00:10:35]: Offer.” It's like, “That's not what I meant.” It's like, “Well, but that is what you said.” And like, so I think clearly articulating what the rewards are is something we haven't gotten very good at as humanity. And then clearly, the AI in these cases has not gotten good enough at understanding what we mean when we ask it and give it certain rewards. Now, what gives me hope is there are the first inklings, of this being better. I'll give you an example like WhisperFlow. Full disclosure, I invested, in their seed round, but at AIX Ventures, but, WhisperFlow has gotten much better at writing what you mean and not what you say. And I think that is a sign of things to come. I think there will be more and more AIs as we make it more and more intelligent that will be better at being aligned with what is meant.Swyx [00:11:21]: Will it be done through a constitution or RLHF orReward Hacking, Alignment, and What We Really MeanRichard Socher [00:11:23]: Clearly, constitutions don't matter at all.Richard Socher [00:11:25]: It doesn't work. And that was, I think, mostly marketing. I think we need to find better solutions for it. And I think at Recursive, we have a few very good ideas and some alreadyRichard Socher [00:11:34]: Like, ways where I think we have a better grasp on it. I don't think we've fully, figured it out yet, but, we're thinking a lot about safety, and the more intelligent the AI gets, the more you want it to be aligned, the less you want it to think about reward hacks and try to do the right thing.Swyx [00:11:49]: I don't know if we'll touch on this topic, but I'm just gonna throw this question in here because it's something that's weighing on me. Alignment, let's call it, is alignment to general humanity's preferences, the median preference. Personalization is pinpointing what you want, and sometimes alignment can conflict because what you want is not what the general median population wants. How do you choose?Alignment, Personalization, and Cultural ValuesRichard Socher [00:12:12]: It's a great question.Richard Socher [00:12:13]: I think you ultimately have to, of course, be aligned with laws. Like wherever your AI is deployed and needs to align with the law. I do think what AI often does is put this mirror in front of us and say, like, “This is what you're looking like. Now I can amplify that a 1000 times. Is it still what you want?” and the truth is that different cultures made different choices. Like, in Eastern cultures, the greater good is often valued more, than the individual. Western civilization, we care more about individual freedoms and rights and the pursuit of happiness and so on, than others. And even there are gradations. There's regulation versus litigation trade-offs. In the US, you first can often, not every time, like, FDA and so on does regulate some areas, but in many cases, the bad things happen, someone sues someone else, and then there's a law based on that. In Europe, they try to often avoid any harm to anyone and regulate before. And both are, trying to do the best thing, but, some is more amenable to innovation than others. And so yes, you're right. Like, I think ultimately each individual, each country, and humanity as a whole has to think about those values more, and then try to put them into laws. And that those are ultimately the constraints. And hopefully, different, societies, just like now with their AIs, will align their AIs to a different one so we have not just a monoculture of alignment.Vibhu [00:13:46]: Here's a follow-up on this that I wasn't expecting to ask. Do you have takes on open source, open weight versus who owns the intelligence? So, clearly not the biggest, fan of the constitutionRichard Socher [00:13:58]: You had to do this in the topic side off.Vibhu [00:14:00]: But it's fine.Vibhu [00:14:02]: Point being, any thoughts on who should own weight? Should it be open? Anything there?Open Source, Soft Power, and Who Owns IntelligenceRichard Socher [00:14:06]: 100 percent. I am a big fan of open source. We're gonna sign some various open source letters at, Recursive also. I think, even in the worst case attack scenarios, it is better to have more good actors have more different types of AI, accessible. I think, open source is a little bit a soft power type of thing, too. So I do think it's good for the Western worldRichard Socher [00:14:31]: To have an answer to that, out of China. I do think, when you watch a Hollywood movie, there's — it's like, I don't wanna misc, diss all of movies, but there's a certain sense of propaganda, right? You watch one side of things, right?Vibhu [00:14:46]: Oh, yeah. Have you seen Top Gun? Like, come on.Vibhu [00:14:48]: Like, it's like half of it's paid for by the US Army or something.Richard Socher [00:14:51]: Yeah. And so. And, I think that's just natural. Like, but what's interesting here is I think LLMs are essentially a similar type of soft power to movies and beyond, because they're also, highly important for cybersecurity and so on. But one of their many aspects is that soft power of storytelling. Like, if, like a child asks an LM, like, “Tell me an inspiring story of what I should do when I grow up,” right? It's like those are all these, like, subtle things. So I think it's important, for Western world. I do love, individualism. I do think, despite, some of its flaws, like capitalism is the best way we have governed, found ourselves to govern, and so on. And so I do think there are various aspects that would be good, to have a Western open source answer, for LLMs. And, with Recursive, I can't make the announcement quite yet, but we'llRichard Socher [00:15:43]: We'll be relevant in that space very soon.Vibhu [00:15:46]: Okay. All right. Exciting. I wanna bring us to Recursive. So outside of our tangents, you have a pretty deep background in the NLP space. You worked on, like, early embeddings, GloVe with Chris Manning, who was a previous guest on the podcast, You.com. What's the history? How did you decide to start another company?From You.com to RecursiveRichard Socher [00:16:06]: Yeah. So I've been excited about AI for over 2 decades now. I sometimes feel like it's ancient history now. It's BC, the before ChatGPT era. No one cares about all the religions that happened, before, Jesus Christ, and no one cares about the models that happened before, transformers and ChatGPT and stuff. But, like, it's something that I've been deeply passionate about. I think AI is one of the most interesting things one could work on, period. I think language is the most interesting manifestation of human intelligence, too. And, at You.com, we eventually off-ramped from pushing, like the frontier of AI forward to mostly giving people, like, good search engines, search, APIs and answers over the web. I think that's an extremely important part of intelligence, just knowledge and access, especially even, we'll get there maybe later, if you wanna invent a eureka machine that invents everything for us, it needs to know how not to reinvent the wheel, proverbially speaking. And to know what has been invented, you gotta have internet access. So it's the number one used, most used tool, in LLMs, agents, chatbots, and so on is web search. So I'm really excited for You.com to own that and grow really well in that with really large customers and so on. But it's also not building frontier models anymore. And so I initially tried to do this within You.com and raise another round and so on, but you just can't. You have to do a certain thing, and until you print enough money that you're allowed to start a second thing within that company is really hard. At the same time, I had all these ideas. I put them into a book. I finished the book last year, and I was like, “It'd be really fun to work, on this myself.” I felt like with word vectors, and then prompt engineering and, ImageNet and larger language models for protein generation, not folding and so on, I, me and my teams have pushed the field truly forward. And I feel like we can do it again, here at Recursive. And in many ways, what I observed over the last, 20 years in AI is that whenever we replace some human part of the process of creating AI with a learned system, improvements follow. And so. We've done that taking out manual feature engineering, like in sentiment analysis. I don't know if you remember these old days where, like there are linguists, and they're like, “Here's how you negate, and there's a, like, regular expression.”Swyx [00:18:21]: I went to Penn where we — they had, like the WordNetRichard Socher [00:18:24]: That's right, WordNet, all of that stuff. YeahSwyx [00:18:26]: Original. They use, our grad students to label Wall Street Journal articles and, like, really construct a knowledge graph ofRichard Socher [00:18:32]: There you go.Richard Socher [00:18:33]: And WordNet started, was part of how we started ImageNet. But anyway, so, like, it was really, like, fun, to do. But when we replaced all of that manual feature engineering with vectors and neural nets and just backprop through everything, it started to work really well at scale. And so then everyone started to do architecture engineering, and I was like, “ that clearly can't be it.”Swyx [00:18:53]: You mean, neural architecture search?Richard Socher [00:18:55]: Like, manually, they would say like, “Oh, I'm, I'm doing sentiment analysis, so I have a special neural net that's really good at sentiment analysis.” And then the machine translation community had a special neural net for machine translation.Swyx [00:19:06]: I see.Richard Socher [00:19:07]: The summarization people had their own stuff. And I was like, “That clearly can't be it. We should unify all of that.” So I had 2 papers. One is called Ask Me Anything, and the other one was called DecaNLP. And DecaNLP eventually got cited, like, 5 times by the first GPT paper. And, to me, that was, like a really a big step forward. And then, of course, you had to combine this idea of prompt engineering with transformers and with language models, and you put it all together, you scale it up, which is also a huge amount of work. And then, the field progressed a lot. I feel like the next step and maybe the last step of that history and the arguably, success has a lot of parents, only failure is an orphan, like my version of that AI history, I do feel like in that history, you can think about, “Well, what's the next way to automate?” And that is the AI research itself, like the human, process of ideating, implementing, and validating ideas.Automating AI Research and Recursive Self-ImprovementRichard Socher [00:20:01]: And in our case, ideas for AI.Richard Socher [00:20:03]: And when you have AI then help you with that, it, by almost definition, becomes a self-improving AI ‘cause it now does research on itself. And there are lots of different misnomers. Some people think auto research is already recursive self-improvement. It'sSwyx [00:20:17]: Yeah, and you explained that in the talkRichard Socher [00:20:19]: Completely different.Richard Socher [00:20:19]: But, to me, it's the most interesting thing that I could be doing, and I'm really excited with the co-founding team. What's interesting is we have 8 co-founders in total, including myself. And soThe Recursive Founding Team and Darwin Gödel MachineSwyx [00:20:31]: They are gonna bring it up.Richard Socher [00:20:31]: Nice. Yeah. And they're all. I could talk about all of them if you want.Swyx [00:20:34]: Super stacked.Richard Socher [00:20:35]: Yeah. Just an incredibly talented group of people. And we all came to the same conclusion, but from very different directions. Like Josh Tobin, is our CTO. He ran, a bunch of different, projects at OpenAI, like, Codex and deep, research, agents and ChatGPT agents and so on. But before that, he also worked in robotics, and he saw the smaller simulations, and how it's gonna be really hard to scale that in full generality. And so that's, that was his angle coming to recursive self-improvement. We have Jeff Clune who's been working in, like, open-endedness for a long time, together with Tim Rocktäschel. Tim Rocktäschel also built Genie 1, 2, and 3, which is, like the most exciting and most sophisticated, I think, still world model, anywhere. And so they both came from this, open-endedness angle. Jeff also, I think, published one of the most exciting papers in recent years about recursive self-improvement called the Darwin Gödel Machine. Super interesting paper. If we could, maybe pull it up really quickRichard Socher [00:21:35]: It would be, like, super interesting to see ‘cause you seeSwyx [00:21:38]: By the way, I love how many paper citations.Swyx [00:21:40]: You're, you're giving people a lot of homework, which I like.Richard Socher [00:21:42]: Love it. Yeah. And so, like Caiming Xiong, a rockstar, we worked together at MetaMind and Salesforce Research together. Alexey Dosovitskiy invented the Vision Transformer, one of the most cited, papers in computer vision. Tim Shi is, like also a unicorn founder. Yuandong Tian led RL at Meta. So just like, yeah, really fun to work with them, and the next level of people are just incredibly strong, too. So it's been a really fun ride so far. So the first figure, you see exactly these kinds of ideas, that, I think, yeah, inspired a lot of us and now more and more people, where you have this archive of different coding agents. They learn how to self-modify, evaluate, and then create these phylogenetic trees, of, yeah, different ideas.Swyx [00:22:28]: That's one foundation. So that Darwin Gödel is an influence.Swyx [00:22:32]: Open-endedness is an influence. Any other trains of thought that feeds into Recursive that I'm missing?Influences: Open-Endedness and Learned SystemsRichard Socher [00:22:38]: Going to replace manual parts of the process of building AISwyx [00:22:42]: IRichard Socher [00:22:42]: More and moreRichard Socher [00:22:43]: With learned systems. Yeah.Swyx [00:22:45]: Which, and, like, merging different fields into one general, architecture.Richard Socher [00:22:51]: That's right.Swyx [00:22:51]: Okay. It seems like language models are already pretty generalist, right?Swyx [00:22:55]: Your next token predicting your reasoning. Was there a time that you thought, “Okay, these are good enough to have recursive self-improving machines”?Are Current LLMs Enough?Richard Socher [00:23:05]: It was clear to me that they will happen, within, like a year or two, and then it did exactly happen, like, earlier this year, right? Earlier this year, AI really went from not just being code, but being able to code. And that is a big unlock. It's definitely making everything a lot easier than it was, before the beginning of this year.Swyx [00:23:24]: One question that I think a lot of people have is the current LLM paradigm enough? Or, like, let's call it autoregressive transformer, with reasoning, whatever. Don't you need something else, some big unlock, whether it's world models, which Chris Manning is working on, or memory, continual learning, all that stuff? Or is it all of the kinds, and you think the current, let's call it transformer architecture, is here to stay and that's it?Richard Socher [00:23:48]: A lot of thoughts. So number one, I do think it would be great to have less of a monoculture in AI research.Richard Socher [00:23:55]: Like, if you look at, AI conferences now, I still remember the days in, like, 2010 when I tried to get my first neural net papers and NLP conferences accepted, and they just desk rejected them because, like, neural nets were something, quote, unquote, “We don't do in NLP conferences,” and just, like, desk rejected. And it was very brutal in the first years of my PhD. Now I feel like it's almost like the field switched to the other side. LikeRichard Socher [00:24:17]: Someone should try some other weird, crazy ideas now that aren't.Swyx [00:24:20]: There's also a few. I really respect, like, people still working on, like, GNNs and, like tabular stuff and.Richard Socher [00:24:25]: Yeah. Like, someone should still, like, do novel out there ideas. At the same time, I think whenever people say, “Oh, LLLMs are. Like, this is the end for LLLMs,” they just don't, like. LLLMs are also not the LLLMs of, like the past, right? Like, they are so much more sophisticated now. There's so many more clever things that people are doing. It — There's, like, different stages of training. You have the whole RL training, and you can take actions and, like all of these things where that can go really far. And then the folks that come from the neurosymbolic, direction say, “Oh, this will never work because they can't do neurosymbolic reasoning.” It's like, I think they're underestimating still the ability for these models to code, and code is neurosymbolic reasoning, and these models can code incredibly well. And so I do think there are, of course, more and more ideas that will be needed and we'll continue to have. We're seeing, like, more and more interesting high-level ideas coming out of the AI itself, too. And with really deeply integrating the fact that these models are code and can code, that line — I don't wanna give it all away, but, like, I think that line has a lot more to grow. But it's still an LLM, right? Even if that LLM codes for you and then runs that code in some integrated fashion. World models, I'm personally less bullish on. I think if you run a robotics company, you're gonna build your own world model. I think world models are super fun, and Tim Rocktäschel came to a similar conclusion after building the most interesting one with Genie 1, 2, and 3, which is gaming is a huge application for world models. Can see I sometimes got stuck in some games and, like, got a little overly competitive in the wrong direction. And so I understand games are fun, but personally, I'd rather work on science than gaming. And so, yeah, I think LLLMs, a lot more room to grow.Swyx [00:26:16]: Yeah. I think there's some interpretation of world models that some people have where it's like, well, it's okay, yes, there is that gaming element. There's this — there's the embodied robotics element. But the other part also is just, the more abstract sense of LLLMs are just modeling output, but they're not modeling the chain of thought, inside the human that has created the output. We can annotate it, of course, but, like, it's, it's always, like, this Plato's cave reflection of a thing rather than the thing, right?Richard Socher [00:26:43]: It's true.Richard Socher [00:26:44]: But I would argue that, and maybe we'll get there in the 10, spaces of intelligence, but I would argue that even our projection, our eyes is a projection of the real world. And, like, we have only a very narrow, band of the electromagnetic frequency spectrum that we can observe with our puny little 2 eyes and so on.Swyx [00:27:01]: It's good enough.Richard Socher [00:27:02]: It's, it's good enough for now, but, like the upper bounds of where it could be are so much higher. And, like, to map, the visual world the way humans see it is also not necessarily, like the end-all be-all for visual intelligence. And I would argue that language is still the most interesting manifestation of human intelligence. And while our visual cortex is certainly less sophisticated, than that of, certain animals all the way down to the mantis shrimp who can, have, like, 2 independent eyes, 3 bands, trinocular vision and each eye can see all the way to, like, floating temperatures in 4D and stuff.Richard Socher [00:27:36]: Like, mantis shrimp, you should look it up. It's likeSwyx [00:27:37]: Way OP.Richard Socher [00:27:38]: Super crazy.Swyx [00:27:39]: Yeah. ZeFrank, mantis shrimp.Swyx [00:27:41]: It's the best video in the world onRichard Socher [00:27:42]: I love ZeFrank, yeah.Richard Socher [00:27:44]: Big shout-out to him. But, like, I think there's a lot more room to grow, but none of these, other animals have language that's as sophisticated as ours, certainly not in writing. And once you can write, you can, start thinking about longer term civilizations. All of that is language. Programming is much closer to language. And I would argue, and this is, like an important thing in the spaces definition of intelligence also, is that all of these spaces are highly correlated, but visual intelligence is neither necessary nor sufficient for overall intelligence. You can be blind and still be an intelligent human being. And an AI can be blind and still be quite intelligent too.Swyx [00:28:25]: We were gonna bring thisRichard Socher [00:28:25]: Which doesn't mean that you're not more intelligent when you have it. Yeah.Swyx [00:28:28]: We're gonna bring this up. I might as well — Like, we have a classification of 10 types of intelligence that you had at the end of your talk. So I'm just gonna flash this up now for people to cover this. I don't know if, maybe we'll put this towards the end. We'll come back to this. I just wanna mention that, you do have a philosophy that I like when people do lists because then I can just go through this and then it gets — it's educational for people. But let's go back. I don't wanna get distracted. But, so effectively, I'll, I'll, reinterpret what you said as Yann LeCun is wrong. And then we'll justRichard Socher [00:28:56]: Don't quote me as that. I'm, I'm good friends with Yann. I think very highly of him in many directions.Swyx [00:29:01]: But he's wrong.Swyx [00:29:03]: You mentioned GPT-1, and I cannot let any, Alec Radford, mention escape. Did you talk with him when he was training GPT-1? Like, any historical, fun stories there that you might come up?DecaNLP, GPT History, and Scientific GatekeepingRichard Socher [00:29:18]: I did not, like, meet him a bunch of times. I think we met maybe once or twice at some conferences. But, like, he has told, I think Brian, the first author of the DecaNLP paper, that it did inspire him, and he cited it five times in the GPT-2 paper. So, and that's, likeSwyx [00:29:36]: Yeah, good enough.Richard Socher [00:29:36]: Very clearly said, like, this was the first instantiation where they showed in the DecaNLP paper, McCann et al, that you can just phrase every single NLP problem as here's some prompt, text context, here's a question and task description and here is some output. If you just do that enough, you can have one unified neural network model, which, by the way, also had all kinds of interesting attention mechanisms. There are slightly different formulations to the transformer. I think came out the same year, plus/minus a few months. And then you can unify all of natural language processing into one neural net. That is the core idea.Swyx [00:30:14]: And this was as opposed to at the time, LSTMs and what have you.Richard Socher [00:30:17]: LSTMs, but also, like, people being very stuck in thinking about one model per task. In factRichard Socher [00:30:25]: It's, it's kinda crazy, but the DecaNLP paper was publicly reviewed as, like, open, OpenReview. It was an ICLR submission. And, in it, you will see, how the whole community at the time thought about this. So, likeSwyx [00:30:43]: Some great contributions, but more work needed.Richard Socher [00:30:46]: So look at, like, search for not even for humans. Just scroll it up here. Like, question answering is not a unified phenomenon. There is no such thing as general question answering, not even for humans. And this is like, really, you replace your brain with a different brain a different neural net when you answer, like, different kinds of questions. It was unfathomable to the experts at the time that you can have one unified neural network that would answer all of these different questions. They are saying, “No, all of these questions require very different systems to answer, and trying to pretend they are the same doesn't help anyone solve any problems.” That's what it says right there, right? That's how hard it was to fathom. And now, of course, people, when I say, “Oh, we're gonna invent prompts,” people are like, “You can't even invent prompts.” It's such an obvious idea to have one neural network that, of course, does everything in NLP.Richard Socher [00:31:37]: But at the time, it was, like, extremely controversial, and the paper got rejected. And the sad thing is that it got rejected so hard and they were so certain that we stopped going on our list of things to try. And the number 2 or 3 on the list of extensions for this paper was add language modeling as another task. And then we could have, and that would have accelerated the timelines, in 2018, like, even further for humanity. But we got so crushed, and we were like, “Okay, maybe we'll just work on some of our other ideas for now and, like, come back to this later.” Yeah.Swyx [00:32:09]: How can we design a review system that rewards non-consensus?Richard Socher [00:32:14]: Honestly, I started to feel like arXiv is such a gift to humanity. With arXiv, you should just put your paper out there.Swyx [00:32:24]: Is it pre-preprints?Richard Socher [00:32:25]: Let — And honestly, I think Twitter X, people like you who pick up interesting papers, that is a better filter than the experts. Let everyone, like, have access. Now, of course, there are some downsides, which is, like, if you're super unfamous, you have no Twitter followingRichard Socher [00:32:41]: You don't wanna be on social media or whatever, you write a good paper, maybe someone, somehow no one notices it. But I would argue that if you just tell, like, 10 of your friends in your community about a paper and it is a really significant breakthrough, someone is bound to talk about it again. And, so I think science needs less gatekeeping. And, even though ICLR, with Yann LeCun, who started it, as one of the co-founders of ICLR back in the day, he also wanted less gatekeeping ‘cause he too was rejected for many years together with Yoshua Bengio and Geoff Hinton with all their early deep learning and neural net papers ‘cause it was just not the hot thing. And so ICLR started with that, but then it also started gatekeeping a little bit themselves on various ideas. So I think less gatekeeping, more open, and then allowing people to say, “Look, even if this is just on, or, quote, unquote, ‘just an archive,' if it has like 1000 citations, it's a legitimate paper. Doesn't really matter where you published it.”Swyx [00:33:34]: And I agree with that. I do think it's sad that I've heard that grad students have to do, like, how to Twitter, seminars to each otherSwyx [00:33:43]: Just because it's so important for publishing these days. This person is just reflecting the sentiment at the time.Richard Socher [00:33:49]: That's right.Swyx [00:33:49]: But it'sRichard Socher [00:33:50]: I think it'sSwyx [00:33:50]: It affected you so muchSwyx [00:33:52]: That you stopped work on it.Vibhu [00:33:53]: The sentiment also came out of some of the research, right? Like, the original BERT paper was trained, and towards the end of the paper, they're like, “Okay, throw off the last head, train specific iterations forVibhu [00:34:05]: Extractive summarization add a head for this.” Like, you should do task-specific stuff. These are, like the authors that wrote Attention, wrote BERT, telling you this is what you're meant to do. And, like the training tasks were also very odd. They're likeVibhu [00:34:16]: The — “We know that the model overfits to this weird mass language modeling. Throw away this part and just do specific models,”?Richard Socher [00:34:23]: Exactly. And, like, we had to try — come up with all clever ways of, like attention and pointers and so on to get the neural network to be able to do all of these tasks. And then some of them were better than state-of-the-art, some weren't, but we were like, “But it's still in one model.” I thought it was really cool. Really interesting.Swyx [00:34:38]: I was gonna move on next to Tim and open-endedness. He was head of open-endedness at Google.Open-Endedness, Rainbow Teaming, and Self-Set GoalsRichard Socher [00:34:42]: That's right.Swyx [00:34:43]: I don't know what that means.Swyx [00:34:44]: But he did a lot of talks.Richard Socher [00:34:45]: Genie 3 is one of the ways thatRichard Socher [00:34:47]: Rainbow teaming, yeah.Swyx [00:34:49]: So I first saw him at — speaking of ICLR, I first saw him at ICLR when he talked about open-endedness. He's he's done a few talks. Can we define what is open-endedness for people who have never been exposed to the problem? They are like, “What do you mean? I thought the only goal of AI is to optimize against a benchmark or.”Richard Socher [00:35:04]: That's right, yeah. It's a, it's a fuzzy term because there's so many different instantiations of open-ended, thinking. But, one way I often describe it, and certainly, Tim and Geoff Hinton would be even better at describing this, but it's a suite of methods that is more inspired by evolution than, very specific rewards. So in that sense, it thinks more about environments, about co-adaptation. And so a concrete example is in the cybersecurity and LM safety space where you have one LM that tries to attack another LM to say something unsafe.Swyx [00:35:40]: Yeah, the rainbow, yeah.Richard Socher [00:35:40]: And now the environment is the 2 having a conversation and now they co-adapting, right? They're like one makes a better attack than the first one inoculates itself somehow, like uses that as training data, makes it so it's harder to say something unsafe based on that. And then as the attack stops working, the attacker now tries a different angle, right?Richard Socher [00:36:00]: And that's why it's not just red teaming, but they're called rainbow teaming.Swyx [00:36:02]: So, like, don't tell me how to do things. Let me just figure it out myself.Richard Socher [00:36:05]: That's right. Think about the environments that you wanna use. Think about the rewards at a high level that you wanna, inspire towards, and then let the AI try out many more ideas in this interplay between sometimes humans, but also sometimes other AI agents.Swyx [00:36:22]: Yeah. I worked open-endedness into a model that I have been working on. It was the keynote for AI Engineer where you start. You, we have the token loop, we have the agent turns, and then we have goal. And I feel like the way that you're describing open-endedness is still somewhat of a goal. Like, please attack this,Swyx [00:36:41]: Other agent. But, to meRichard Socher [00:36:42]: Yeah, you set the rewards. You set the environments.Swyx [00:36:44]: The loop that makes the other loops is. What if the agent can set its own goals?Swyx [00:36:49]: And is it, is that open-endedness? Like, you don't give it a goal. Just, like, be a sentient being. And maybe sentient is a very loaded wordSwyx [00:36:57]: But just set your own directions. What do you think you should do?Metacognition, Subjective Goals, and Measuring IntelligenceRichard Socher [00:37:01]: I love this direction. I think this is one of the 10 spaces of intelligence, that I clump under metacognition and thinking about thought.Richard Socher [00:37:08]: And it's an interesting one. Whenever people say, “Oh, AI is like, this is, it's gonna stop from here. It's not gonna get that much better,” and blah, I'm like there's so many different spaces of intelligence that we haven't even started exploring yet and hence have made very little progress on. And there is an interesting, connection to economics and, capitalism. Like, it doesn't make sense for a company to build and spend billions of dollars building a model that instead of following the rewards and objective functions you gave it, may come up with its own objective functions and its own goals.Richard Socher [00:37:46]: Right? And then imagine you're like, “Okay, I spent billions of dollars. Now go develop this new battery, material for me and answer all my emails.” And it's like, “Nah, I think it'd be more interesting to evaluate the molecular composition of the atmosphere, on Jupiter.”Richard Socher [00:37:59]: And you're like, “That's not what I paid you billions of dollars for.” And so no one's working on that for good reasons. And then also, understandablySwyx [00:38:07]: It's not useful.Richard Socher [00:38:07]: It's not, it's not useful, and it could get a little bit weird, right? What if the AI does start to really have thoughts on its own, and what if we don't like those thoughts, right? And so it requires a whole different way of thinking about it. I had a great conversation with a good friend of mine, Sam Gershman, who's a neuroscience professor at Harvard, and, like, we just jammed on this a little bit on, like, what are the best meta goals. And, I do think, like, knowledge-seeking is a really good one. I'm currently thinking also about, like the ultimate measure and unit of intelligence broadly construed, and I finally have some. It's still too early to share it. It's not. I haven't fully baked the thoughts yet.Swyx [00:38:44]: Like some replacement for IQ.Richard Socher [00:38:46]: IQ is such a terrible definition, right?Swyx [00:38:48]: Elo.Richard Socher [00:38:48]: It makes no sense. Yeah, Elos are terrible, too, because it's always just like me versus others.Richard Socher [00:38:53]: But, like, you can be intelligent and not constantly compare yourself to others? And so, yeah, there's no, like. In fact, a lot of these definitions we have, which I briefly mention in my book, too, these definitions create sometimes explicit and sometimes a more implicit anthropic bounds. No dis to the company Anthropic, but just, like, this idea that your intelligence is like getting 100 out of 100 questions right on this IQ test. Well, if that's your definition then you can only be at 100 out of 100. Where do you go from there, right? So you see a lot of these, benchmarks that people are working on they, increase, they get close to human, maybe sometimesSwyx [00:39:30]: It's like an S-curveRichard Socher [00:39:30]: Slightly above human, and then it's flat.Richard Socher [00:39:32]: It's like, ‘cause that's your. If your definition is only that so tied to humans, you're only gonna get to just slightly better than that. So I think metacognition is a great example of that, where we're not even yet allowing the AI to think. We're not working on it very much, and hence there's very little progress in that.Profit Maximization, Real-World Environments, and Reward DesignSwyx [00:39:49]: Yeah. Well, we've interviewed Andon, which I think, has been working on the most open-ended, benchmarks, which is just real-world, money.Swyx [00:39:57]: Arguably, telling an AI to profit maximize is a bad idea.Swyx [00:40:03]: But they are doing it.Richard Socher [00:40:05]: I do think you don't want that super. Like, you don't want a superintelligence to have a ton of access to all kinds of tools and so on and then just give it that without some very careful reward engineering. ‘Cause it's like, I just buy a bunch of defense stocks and I start a war. I make money. Like, it's just like, it's a tricky situation, right? You just buy a bunch of stuff, short basic goods for people, and you create some weird famine, like, issues. Like, yeah, there's a lot of constraints you should put onto a trading system.Vibhu [00:40:35]: It's a fun measure, though, ‘cause, the bounds are very capped to where we're nowhere close to them. Like, in Andon Labs, the model's like, “Oh, it's Saturday, maybe I just close the store today.” “Someone's off. It's okay. We'll just close the store.”Swyx [00:40:51]: It's using Claude.Vibhu [00:40:52]: Yeah. ButRichard Socher [00:40:53]: Yeah, no. I'm not, I'm not arguing against it. Just, like as you get more and more intelligence, you wanna be more and more careful with that as, like an open environment, ‘cause the environment then is all of Earth.Applying RSI to Science and InventionSwyx [00:41:02]: Yeah. Okay. For recursive, not strictly necessary, right? Because, like, if your goal is you make a machine that, like, invents the other things, then, like, just solve, the science thingsRichard Socher [00:41:12]: Knowledge discovery, yeah.Swyx [00:41:13]: Solve machine learning research and discovery and all these things. Good enough.Richard Socher [00:41:16]: And eventually, so, our goal, I haven't really. I don't talk about it that often because it is a few years out, but our goal is once you have a recursive self-improving superintelligence, you then want to apply it to the most important problems. And I think a lot of those are in science and technology and broadly construed inventions, and those inventions in, physics to create better, cheaper energy with fission or fusion, in chemistry and to create better materials and better batteries and, better solar cells and so on. In biology, there's so much, like, I think soon to be low hang- lower and lower hanging fruit because of AI, because of protein and generation, not just folding, but generating new proteins like we did in ProGen many years ago. Like, so much positive impact we had if you take that superintelligence and you apply it to science.Swyx [00:42:04]: I do fundamentally believe that. There's a lot of approaches, though. You're not the only team trying and NeoLab trying.Swyx [00:42:09]: There's, like a lot of. Especially the physical sciences as well.Richard Socher [00:42:12]: And that's good. Yeah. I do think that physi- like the reason we are only doing it in a few years is that it's a little too early right now. Robotics is not quite there yet. The AI is not quite there yet. But I'm fairly confident in 3 to 5 years, all those constraints will be gone, and then applying to real physical robotics experiments and so on, like true robotic process automationRichard Socher [00:42:33]: Not the traditional RPA sense, but, like, having robots run experiments for you will be totally there. Yeah, it's gonna be great.Swyx [00:42:40]: Just to call back to something that you said early on about slow takeoff, you said that, like, while really the substrate that is limiting factor is, let's call this chips, and semiconductors and all these things, and you have race funding for that and, you are investing a lot on that. But have you done the math on, like, is it even- Achievable and, like, what is the, industry concentration needed in order to achieve, like, scale?Compute, Slow Takeoff, and Changing the Bitter Lesson SlopeRichard Socher [00:43:05]: Right now we know that, like, roughly, like a 1000 GPUs cost quite a lot of money.Richard Socher [00:43:11]: Right? If you wanted, like, 10s of thousands of GPUs, you're, you're talking billions and billions of dollars. If you say, like, one GB300 is, like, you could eventually create models that are, on that substrate, like are close and similar to human intelligence. And you want, like, thousands and thousands of, AIs to think about really hard problems, in a similar fashion to humanity. Like, yeah, that-that's, that's a lot of money. You do the math. It's like a lot. We don't have that amount of money right now anywhere to, like, build that. Now, things can get more efficient. You will have, I think, soon better algorithms that won't be, and better hardware that won't be as energy-hungry, and so on. Our human brain does quite a lot of flops with much less energy.Swyx [00:43:56]: 20 watts?Richard Socher [00:43:57]: That's exactly right. Yeah, that's the number often that's quoted. And, like, I think more, inventions will happen there, that then will accelerate the takeoff even further.Swyx [00:44:08]: One thing I always try to reconcile when talking, like, with new lab founders is, like, you're fighting Bitter Lesson all the time. You have to show initial progress, then you unlock the next tier of funding, then the next tier, then the next tier.Richard Socher [00:44:20]: Which unlocks larger model categories.Swyx [00:44:22]: Like, fundamentally, is that true? Like, are you fighting Bitter Lesson? Are you — will we have a way in which, like, no, we're changing the slope in some fundamentally different way?Richard Socher [00:44:31]: I do think we are changing the slopes in fundamental ways by making AI much more efficient, both in terms of the training as well as the inference.Richard Socher [00:44:43]: Yeah. I think we will — When you allow AI to do the work that it takes other labs thousands of people and years to do, I think we'll be able to get it down to weeks, and that will be much cheaperRichard Socher [00:44:53]: And hence, more affordable, accessible to others and so on.Swyx [00:44:57]: Yeah. You've shared initial results on that,Swyx [00:44:59]: Which, like, conveniently OpenAI has also done to their GPT-5.6, so we can talk about it now.Richard Socher [00:45:04]: Yeah. Yeah, so these areSwyx [00:45:06]: Let's recap what you've done.Early Recursive Results: NanoChat, NanoGPT, and SOL-ExecBenchRichard Socher [00:45:07]: Maybe, just a quick recap here. We built, this, system that isn't the full, even the full RSI system in its glory, but it is a first baby version of this. And then, we don't wanna just have it internally and not show anything and, just show some people of what's possible. And so we applied this to these 3 different tasks. One is NanoChat, by my friend Andrej Karpathy, just, like, train a small language model to get, really low bits per byte. And, like, hundreds if not thousands of people, used both their agents and themselves to try, to get to that, and then they got to 0.937. We literally took our system and got to a much lower, bits per byte, much faster within, like, I think less than 2 days. So we took this thing, applied our system to it, and less than 2 days later, we have — we outperformed every human and their agents, in, have ever worked on this. Same with NanoGPT. And then we're like, well, let's, apply it to something that's even more relevant, to real people and to the Nvidia ecosystem and applied it, to, SOL-ExecBench. And maybe you can scroll down to some of the, images. They're, they're kinda fun to see. But yeah, like, one you see has made some real inventions that weren't just hyperparameter tuning. Like, inventing hash tables and so on is quite clever. We have even better results now.Swyx [00:46:34]: What do you mean inventing hash ta — You didn't invent hash tables.Richard Socher [00:46:36]: Of course we didn't invent, like, hash tables. In the grand scheme of, like a hash table, it's like a super basic primitive in computer science. But to use it, for language modeling in this scenario inside a transformer and so on and to combine these ideas and put them together, that has then eventually also been invented, but there was a knowledge cutoff, and we did check that it didn't have access to that externally. We talk about this a little bit. If you scroll to the next figures, this is also an interesting one in that when you start from a really basic, poor, like, vanilla transformer, then we still outperform all of the community together. But if you start from the human seed from an expert like Andrej, then you get even lower. So the human seeds from which you start do still matter. So that was an interesting insight, in my eyes, on this. And then as you go, like, how long does it take to get to these models, to get to similar performance? It's much faster. And then a similar thing happens with the speed runs here where, people have worked on this for quite some time, and the model still was able to train a model more quickly. Why do we care about it? Well, speed of training is part of the equation of the cost, and ultimately, you wanna have the most intelligence per dollar, right? And so speed and quality are big parts of that. And, the,Swyx [00:48:00]: Yeah, the way I put it is, for people who don't understand they look at the chart, they're like, “Cool. What does it mean?” if you have, like a billion-dollar cluster and you can shave off 10%, that's 100 million dollars.Richard Socher [00:48:12]: That's exactly right.Swyx [00:48:13]: How much is that worth?Richard Socher [00:48:14]: Exactly. So when you click, when you look at, like the kernels, these kernels, yeah, for the non-experts, like these kernels are like, used in all the models. Every time you use an Nvidia GPU, you interface with that GPU through these kernels. And so here you see, the leaderboard best, and when it's recursive, and it's there are only a handful of kernels, in this whole benchmark where we weren't the best. And so to me, this is, like, really exciting, ‘cause it makes. It just showcases what this can do. And again these weren't like. We didn't, like, spend months or years, like, developing. In fact, in particular for kernel, CUDA kernels, like, we don't even have really deep. CUDA kernel experts in the team. And our system, that's the beauty. The system just did all of these things. We didn't invent this. And when we open source and release, things in the future and models in the future, like, it won't. They won't be the best in their, category or class or whatever because we're so smart, but it's because, we built a smart AI that does it for us.Reward Engineering and Good Auto ResearchVibhu [00:49:14]: Do you have anything that you've learned from how to guide good auto research? A lot of it also builds on human background, right? It's not just as simple as just, “Hey, go optimize this.”Vibhu [00:49:23]: But we do see it again and again, right? Like some of the Erdos problems, frontier math is being solved by people. And when they do a write-up, they're like, “Oh, I'm not a mathematician. I have no background in this?” “I saw some tools and I made it work.”Swyx [00:49:35]: While you're watching the World Cup, you're likeSwyx [00:49:37]: “This proves some conjectures that's going on.”Vibhu [00:49:40]: Yep. Any learnings fromRichard Socher [00:49:41]: Yeah, there's a Korean conjecture was. Yeah, that's pretty cool.Swyx [00:49:44]: To summarize, tips for good auto researchSwyx [00:49:46]: Versus bad auto research.Vibhu [00:49:48]: How did you build the recursive?Richard Socher [00:49:49]: Yeah. So without giving away all the secret sauce, maybe some things that are probably obvious to the experts but might still be interesting to some, folks is, like, reward engineering is one of the most crucial bits, especially, in order to avoid reward hacking. So you have to be really clever about avoiding. ‘Cause as your AI gets better and better, it will get better and better, at finding weird like, special cases or counterexamples and things like that. And so I'll give you an example. Like, when you ask to, like, make these 100, lines of code faster, and, how do you define fast? Well, you have one line at the beginning that says, “Start your stopwatch,” and one line at the end, “End the stopwatch,” and then, tell us how much time, progressed. And so, well, the simplest way is you just put that line that ends the stopwatch, rightVibhu [00:50:39]: At the startRichard Socher [00:50:40]: At the start. And then boom, it's now faster, right? So this isn't like this, like, super evil AI. It's just, like a very simple, dumb reward hack. And so you have to just very carefully think about all the different angles there. And then I think the longer time horizon the tasks are the harder it gets and the more interesting and clever you have to be to still use these kinds of ideas for it. But yeah, I can't give away too much there.Vibhu [00:51:05]: It seems like rubrics are taking a good spot in that, where for unverifiable domains, you have rubrics, you have a model breakdown, judge's criteria along the way.Swyx [00:51:14]: Yeah, it's a form of verificationSwyx [00:51:16]: Once you got enough rubrics.Richard Socher [00:51:17]: Yeah, everything. I said this a long time ago. That's why I've never been that impressed that AI can play games, ‘cause I'm like anything you can simulate and/or verify, you can have infinite training data forRichard Socher [00:51:29]: And hence, like, AI will solve it eventually.Swyx [00:51:32]: Looking for games where you can do auto domain distribution. So this is a game that nobody's trained on ‘cause it's a new game.Swyx [00:51:38]: And you can start gaming, you can start to play. So I've been building this and cloned this in person and it's just been self-play. I've had about a billion positions evaluated.Games, Self-Play, and the AI EconomistSwyx [00:51:48]: And, I wanted to do the AlphaGo thing of self-play until you ge

Between AI safety risks, crude oil's price spike, and political polarization, Michael Rosen still believes the stock market remains in good shape. He doesn't expect corporate profits bolstering earnings to be impacted much, if at all, by energy fluctuations and a multi-year-high in the 10-year Treasury yield. Michael tells investors to stay diversified as he projects volatility to continue, highlighting healthcare as a corner of Wall Street with opportunities. ======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

This week on CounterSpin: Some 3,000 people died when planes hit the Twin Towers on September 11, 2001. One hundred twenty-five people died at the Pentagon in Virginia, and at least 265 people were killed—passengers and crew—on the planes used to carry out the attacks. It was a day of horror and grief. But then it became an excuse for more horror and more grief, inflicted “in the names of” people who were no longer here to say whether that was what they would want. Former New York City Mayor Rudy Giuliani is currently striving for relevance by declaring that current Mayor Zohran Mamdani should not attend commemorative ceremonies. We hear about what Giuliani did when he was mayor with a 2007 interview with Wayne Barrett, then senior editor at the Village Voice and co-author, with Dan Collins, of Grand Illusion: The Untold Story of Rudy Giuliani and 9/11. Also on the show: Giuliani isn't alone in saying that New York city's mayor should stay away from anything to do with September 11, 2001, because, because, well because, you know! The same reason no Germans are allowed in the Holocaust Museum. And no white Americans are allowed in the South. Hatred, fear, accusations against Muslims have been around forever, but some people—and some media—leapt on that day's crime to use as cover for a bigotry they always harbored, now free to weaponize wherever they chose. CounterSpin talked about Islamophobia many times with writer and organizer Maha Hilal, author of Innocent Until Proven Muslim: Islamophobia, the War on Terror and the Muslim Experience Since 9/11. We hear just one of those conversations this week. Plus Janine Jackson takes a quick look at recent press coverage of Donald Trump's sanity.   CounterSpin provides a critical examination of the each week's major news stories, and exposes what the mainstream media may have missed in their own coverage. Produced by the national media watch group FAIR (Fairness and Accuracy In Reporting). The post CounterSpin – Wayne Barrett (2007) on Giuliani and 9/11, Maha Hilal (2023) on Innocent Until Proven Muslim appeared first on KPFA.

Getting a dog to take a pill can turn into a ridiculous battle of wills, especially when they somehow eat everything except the medication.In this episode, Amy shares 10 tricks she's learned from years of owning, fostering, rescuing, and medicating dogs of all shapes, sizes, and ages. The key isn't finding one magical food that works for every dog. It's figuring out how your dog approaches food and choosing a strategy that fits.You'll learn why a tiny, soft pill package may work better than a big chunk of something delicious, how to use decoy treats and momentum, why your dog may be reacting to your medication-prep routine before the pill even appears, and what to do when a trick that worked for months suddenly stops working.Amy also covers when it may be time to stop hiding the pill altogether and ask your veterinarian about a "pill popper", liquid or compounded medication, or another appropriate way to give it.And cat people, you're not forgotten. Some of these tricks translate, but cats can present a whole different pill-giving challenge, so Amy also talks about when liquid, compounded, transdermal, or direct-pilling options may be worth discussing with your veterinarian.In this episode you'll learn:How your dog's eating style affects which pill tricks may workWhy small, soft, easy-to-swallow bites can beat bigger treatsThe decoy-treat trick for slipping medication into the sequenceHow dogs learn our medication routinesUsing timing, momentum, and safe competition in multi-dog homesWhat to do when your dog figures out your favorite trickPill poppers and other direct-pilling optionsWhen to ask your vet about another medication formulationWhy pilling cats sometimes requires a completely different approachImportant: Always follow your veterinarian's instructions for your pet's specific medication. Don't crush, split, open, dissolve, or otherwise alter medication unless your veterinarian has confirmed that it's safe to do so.Got a pill trick that works on your dog or cat? Amy wants to hear it. Share your weirdest, sneakiest, or most successful strategy, and you might see it featured in a future Pet Parent Hotline episode or post.Stuck on a pet problem? Send it here.Practical pet advice for busy pet parents.Love the show? Follow The Pet Parent Hotline so you don't miss an episode, and share this one with a pet parent who needs it.Listen & Follow:

What if running your whole Amazon sourcing process came down to one thing: just log in?   In this episode of Silent Sales Machine Radio, Jimmy Smith sits down with Khang Dang, the creator of 3P Mercury, to walk through a wave of new updates and where the tool is headed next. Khang breaks sourcing into four parts (finding listings, finding the sources for them, analyzing them, and tracking them) and shows how 3P Mercury is now automating each step so you spend less time clicking and more time deciding what to buy.   You'll hear about the new Lead Finder and the Auto Source feature, how the AI goes out and looks across the open web to match listings to real suppliers, how the MERC scoring system pre-analyzes leads before you ever look at them, and why Khang thinks the biggest challenge for sellers could soon be simply having enough capital to act on everything the tool surfaces. They also tackle a fair question every seller asks: if everyone runs the same filters, does that tank prices? Khang explains why he isn't worried, and what still separates the best sellers even in an AI-driven world.   Whether you sell retail arbitrage, online arbitrage, or wholesale, this conversation is a clear look at where sourcing is going.   Special guest at the conclusion of today's show, Jeff Schick of JeffSchick.com answers the question: "What are the realities of Amazon suspensions and reinstatements?"   Watch this episode on our YouTube channel here: https://youtu.be/kwodDEG77I0   Show note LINKS:   Want to try 3P Mercury? There's a $1 30-day trial at Silentjim.com/thirty   Need 1-on-1 or group training coaching help? Head over to Silentjim.com/coaching   ProvenAmazonCourse.com -  Get all our great training modules for $39/month   SilentJim.com/kickstart  - If you want a shortcut to learning all you need to get started, then get the Proven Amazon Course and go through Kickstart.   SilentSalesMachine.com - Text the word "free" to 507-800-0090 to get a free copy of Jim's latest book in audio about building multiple income streams online (US only) or visit SilentJim.com/free11   SilentJim.com/bookacall - Schedule a FREE, customized and insightful consultation with my team or me (Jim) to discuss your e-commerce goals and options.   My Silent Team Facebook group. 100% FREE! Facebook.com/groups/mysilentteam - Join 84,000 + Facebook members from around the world who are using the internet creatively every day to launch and grow multiple income streams through our exciting PROVEN strategies! There's no support community like this one anywhere else  

https://media.blubrry.com/counterspin/content.blubrry.com/counterspin/CounterSpin260911.mp3 Right-click here to download this episode (“Save link as…”). HarperCollins (2006) This week on CounterSpin: Some 3,000 people died when planes hit the Twin Towers on September 11, 2001. One hundred twenty-five people died at the Pentagon in Virginia, and at least 265 people were killed—passengers and crew—on the planes used to carry out the attacks. It was a day of horror and grief. But then it became an excuse for more horror and more grief, inflicted “in the names of” people who were no longer here to say whether that was what they would want. Former New York City Mayor Rudy Giuliani is currently striving for relevance by declaring that current Mayor Zohran Mamdani should not attend commemorative ceremonies. We hear about what Giuliani did when he was mayor with a 2007 interview with Wayne Barrett, then senior editor at the Village Voice and co-author, with Dan Collins, of Grand Illusion: The Untold Story of Rudy Giuliani and 9/11. https://media.blubrry.com/counterspin/content.blubrry.com/counterspin/CounterSpin260911Barrett.mp3 Broadleaf Books (2023) Also on the show: Giuliani isn't alone in saying that New York city's mayor should stay away from anything to do with September 11, 2001, because, because, well because, you know! The same reason no Germans are allowed in the Holocaust Museum. And no white Americans are allowed in the South. Hatred, fear, accusations against Muslims have been around forever, but some people—and some media—leapt on that day's crime to use as cover for a bigotry they always harbored, now free to weaponize wherever they chose. CounterSpin talked about Islamophobia many times with writer and organizer Maha Hilal, author of Innocent Until Proven Muslim: Islamophobia, the War on Terror and the Muslim Experience Since 9/11. We hear just one of those conversations this week. https://media.blubrry.com/counterspin/content.blubrry.com/counterspin/CounterSpin260911Hilal.mp3 Plus Janine Jackson takes a quick look at recent press coverage of Donald Trump’s sanity. https://media.blubrry.com/counterspin/content.blubrry.com/counterspin/CounterSpin260911Banter.mp3

Learn how this mom made $2M from YouTube ⚡️Discover how to make the one video that changes everything (Proven framework) ➡️ https://thinkmediacoaching.com/one-video-away?video=-_SUyVtFe9EThis video is NOT sponsored. Some of the links below are sponsored or affiliate links. This means I may earn a small commission if you buy something, or get paid when you click on them.

What happens when telling the truth makes you the villain, and then the scandal proves you weren't crazy?Michael Malice (“YOUR WELCOME”) welcomes philosopher and academic, Nathan Cofnas, for an honest conversation about the Jason Arday plagiarism scandal, DEI, and the ideological pressures shaping academia. Nathan explains how an academic investigation became a supposed race campaign, what finally made the scandal impossible to ignore, and how Nathan found himself at the center of it. They also discuss Arday's death, the pressures that kept the allegations buried, and whether Nathan regrets pulling the thread.Then Michael asks the questions you're probably not supposed to ask: Is IQ research inherently racist? What does genetics actually tell us about intelligence? And is censorship actually creating more racists? Nathan makes an incredible case for openly discussing human biodiversity AND argues that suppressing uncomfortable ideas may be doing the exact opposite of what its defenders intend.So what does the Arday scandal really expose: Is it just a few bad actors in academia, or are we dealing with a university system too ideologically compromised to save?https://x.com/nathancofnashttps://ncofnas.com/Pre-Order UNWANTED – A TALE OF THE OLD WEST AND THE NEW WAVE: https://UnwantedBook.comOrder THE WHITE PILL: http://whitepillbook.com/Order THE ANARCHIST HANDBOOK: https://www.amzn.com/B095DVF8FJOrder THE NEW RIGHT: https://amzn.to/2IFFCCuOrder DEAR READER: https://t.co/vZfTVkK6qf?amp=1https://twitter.com/michaelmalicehttps://instagram.com/michaelmalicehttps://malice.locals.comhttps://youtube.com/michaelmaliceofficialIntro song: "Out of Reach" by Legendary House Cats https://thelegendaryhousecats.bandcamp.com/The newest episode of "YOUR WELCOME" releases on iTunes and YouTube every Wednesday! Please subscribe and leave a review.This week's sponsor: HIMS – FDA-Approved GLP-1 Medications for Weight Loss: https://www.hims.com/welcome (Personalized and affordable plan)JustThrive – Potent, Proven, Effective: Get your health in check. Order a 90-day Just Thrive Probiotic and you'll get a free 90-day supply of their new Digestive Bitters at https://justthrivehealth.com/WELCOMEMOD – Stay Energized, Focus, and Alert: https://www.mod.com , promo code: MALICE (Free consultation, 10% off first order, AND free shipping)PlutoTV – Streaming TV: https://www.Pluto.tv (Free TV) Sheath - Dual Pouch Underwear: https://www.sheath.com , promo code: MALICE (20% off)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Learn The New Way Real Estate Agents Are Getting Clients on YouTube ⚡️Discover how to make the one video that changes everything (Proven framework) ➡️ https://thinkmediacoaching.com/one-video-away?video=lcNhhO_d4YAThis video is NOT sponsored. Some of the links below are sponsored or affiliate links. This means I may earn a small commission if you buy something, or get paid when you click on them.

How do you break into Wall Street from a non-target school with no traditional recruiting path? In this mentor podcast, Brandon shares how he went from a super non-target background and hundreds of applications to Goldman Sachs, before eventually moving into front-office fixed income trading. He breaks down the recruiting mistakes that cost him interviews, what finally helped him convert offers, why networking matters more than most students think, and what he would do differently if he were starting again.

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Learn how to get more sales from YouTube ⚡️Discover how to make the one video that changes everything (Proven framework) ➡️ https://thinkmediacoaching.com/one-video-away?video=lcNhhO_d4YAThis video is NOT sponsored. Some of the links below are sponsored or affiliate links. This means I may earn a small commission if you buy something, or get paid when you click on them.