Podcasts about benchmarks

The 80/20 Principle of Running a Cash-Based PT Clinic In this episode of the PT Entrepreneur Podcast, Dr. Danny Matta breaks down the 80/20 principle for cash-based clinic owners and simplifies what you should track if you want to grow past yourself. Instead of obsessing over dozens of metrics, Danny argues there are three "dollar productive" KPIs that drive almost all clinic growth. He also explains why provider schedules either snowball fast or stall for a year and how to shorten that ramp from 12+ months to around six months with the right focus. In This Episode, You'll Learn: How Claire can save staff clinicians hours each week and translate that time into meaningful revenue What the 80/20 principle means inside a cash-based clinic The concept of "dollar productive activities" and why it matters The three KPIs Danny thinks drive the majority of clinic growth Why the owner should usually handle discovery calls during growth phases Benchmarks for conversion rates at different stages of scale Why recurring services are the "sneaky" variable that stabilizes schedules How to get a new provider productive faster so clinic growth compounds Claire: Turn Saved Time Into Revenue Without Burning Out Your Team Danny opens with a simple math breakdown clinic owners can understand quickly. Time is valuable, for you and for your staff clinicians. PT Biz has found that Claire, their AI scribe, saves staff clinicians about six hours per week on average. Even if you only reclaim half of that time and convert it into patient care, that is roughly three additional one-hour visits per week per clinician. Example Danny gives: 3 extra visits per week $200 average visit rate $600 more per week per clinician Roughly $30,000 per year in additional revenue per clinician The point is not to overload your team. The point is to use technology to remove the documentation burden so you can increase capacity without increasing burnout. Try Claire free for 7 days: https://meetclaire.ai The 80/20 Principle in a Cash Practice The 80/20 principle is the idea that 20% of your actions lead to 80% of your results. Danny applies this directly to clinic growth. When your clinic is small, it is easy to get busy doing "everything" and tracking a long list of numbers. The problem is most of those activities do not move the business. Instead, Danny recommends narrowing your focus to the most "dollar productive" activities. In other words, the actions and metrics that actually drive revenue and schedule utilization. The Goal: Get a Provider Productive Fast Danny frames the big objective clearly. You want to get your own schedule full enough to hire someone. Then you want any provider you hire to get productive as fast as possible. In PT Biz's world, once a provider reaches roughly 80 to 90 visits per month, it tends to snowball into 100+ pretty quickly. But getting to that point can take some clinics over a year. If you can shorten that ramp to six months, your growth compounds. In a year, you might be able to hire two people instead of one, because each provider becomes profitable faster. The Three Dollar-Productive KPIs Danny says there are three key metrics that drive the majority of growth in a cash-based clinic. Each one represents a drop-off point that can either accelerate growth or quietly crush it. 1) New Patient Volume and Discovery Call Conversion Many owners only track "how many evals we have." Danny says you need to go one step back and track conversion from lead to evaluation. There is often a major drop-off between someone becoming a lead and actually booking an evaluation. This is usually happening on discovery calls. Benchmarks Danny shares: During growth, aim for 8 to 10 new patients per provider per month Once stable, new patient volume can drop closer to 5 per month Discovery call to eval conversion should be 70%+ He also makes a strong recommendation: during growth phases, the owner should handle discovery calls. Why? In many clinics, admins convert around 45% to 50%. Owners often convert 80% to 90% because they carry authority and can handle objections better. Danny gives an example: 20 discovery calls at 50% conversion = 10 evals 20 discovery calls at 80% conversion = 16 evals That gap can be the difference between a provider staying empty and a provider getting busy quickly. He also points out that owners sometimes resist this because it feels like a step backward, but the time requirement is smaller than most people assume. If you have 20 calls at 20 minutes each, that is under 10 hours per month and it can dramatically impact growth. 2) Evaluation to Plan of Care Conversion The second KPI is how many evaluations convert into a plan of care. When people do not commit to a plan of care, Danny says many still come back a few times, often around three visits, until symptoms improve and then they disappear. That creates unpredictable revenue and inconsistent schedules. Plan-of-care conversion makes volume and revenue more predictable. Benchmarks Danny shares: Owner: 70% conversion from eval to plan of care Staff providers: 60% conversion is a strong benchmark at scale He emphasizes that this requires quality control and training. Staff clinicians need to be comfortable with diagnosis, prognosis, and presenting a clear plan. Otherwise close rates drift and schedules stall. 3) Recurring Services After Plan of Care Danny calls this the sneaky variable that people forget, but it can make the biggest difference in schedule stability. Hiring a clinician is usually a net negative for the business at first. You are paying salary, taxes, and benefits while they are still ramping up. What stabilizes and compounds a provider schedule is recurring volume. The goal is that roughly 40% of plan-of-care patients transition into some type of recurring service after discharge. Why this matters: Recurring visits fill a predictable chunk of the schedule New patient volume no longer has to carry the whole load Providers get to work with people they enjoy long term It is mentally easier than constant evaluations Danny also explains why this is often hard for staff clinicians. They may feel uncomfortable "selling" ongoing support because they never did it in insurance clinics They may not know what to do clinically once a plan of care ends So this requires two things: education on the clinical delivery of recurring services and training on how to present it confidently. Put It Together: How to Grow Faster Without Tracking Everything Danny's bigger point is that clinic owners often get lost in too many tasks and too many numbers. If you simplify down to these three KPIs and train your team around them, your odds of building provider schedules faster go up dramatically: Discovery call conversion (lead to eval) Eval to plan-of-care conversion Plan-of-care to recurring conversion When those are strong, growth compounds. You hire faster, providers get productive faster, and you get to choose what you want the clinic to become instead of being stuck trying to "just get busy." Resources Mentioned Try Claire free for 7 days: https://meetclaire.ai Talk with a PT Biz advisor: https://vip.physicaltherapybiz.com/discovery-call Join the free Part Time to Full Time 5-Day Challenge: https://physicaltherapybiz.com/challenge

On this episode of the Dentist Money Show, Ryan, Matt, and Cody reflect on 2025's biggest themes in dentistry and analyze the results from a recent survey sent out to Dentist Advisors' clients. They unpack the results of the qualitative benchmark data and what it reveals about dentists' burnout, work schedules, vacations, and financial satisfaction. They discuss how dentists are defining their workload beyond clinical days, why leadership days can feel just as draining, and why burnout often persists even when dentists work fewer clinical days. Tune in to hear key takeaways about how dentists are feeling about their careers, work-life balance, vacations, savings, and more. And stay tuned for part two (coming soon!) which includes quantitative data like dentists' average savings rate, investment balance, net worth, and more! Book a free consultation with a CFP® advisor who only works with dentists. Get an objective financial assessment and learn how Dentist Advisors can help you live your rich life.

In this episode of Eye on AI, Craig Smith speaks with Jonathan Wall, founder and CEO of Runloop AI, about why AI agents require an entirely new approach to compute infrastructure.   Jonathan explains why agents behave very differently from traditional servers, why giving agents their own isolated computers unlocks new capabilities, and how agent-native infrastructure is emerging as a critical layer of the AI stack. The conversation also covers scaling agents in production, building trust through benchmarking and human-in-the-loop workflows, and what agent-driven systems mean for the future of enterprise work.   Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI   (00:00) Why AI Agents Require a New Infrastructure Paradigm (01:38) Jonathan Wall's Journey: From Google Infrastructure to AI Agents (04:54) Why Agents Break Traditional Cloud and Server Models (07:36) Giving AI Agents Their Own Computers (Devboxes Explained) (12:39) How Agent Infrastructure Fits into the AI Stack (14:16) What It Takes to Run Thousands of AI Agents at Scale (17:45) Solving the Trust and Accuracy Problem with Benchmarks (22:28) Human-in-the-Loop vs Autonomous Agents in the Enterprise (27:24) A Practical Walkthrough: How an AI Agent Runs on Runloop (30:28) How Agents Change the Shape of Compute (34:02) Fine-Tuning, Reinforcement Learning, and Faster Iteration (38:08) Who This Infrastructure Is Built For: Startups to Enterprises (41:17) AI Agents as Coworkers and the Future of Work (46:37) The Road Ahead for Enterprise-Grade Agent Systems

The CPG Guys are joined in this episode by Sarah Marzano, Principal Analyst for Retail and Commerce Media at EMarketer, the go-to forecasts, data, and insights provider for marketing, advertising, andcommerce professionals.Follow Sarah on LinkedIn at: https://www.linkedin.com/in/sarahzmarzano/Follow EMarketer on LinkedIn at: https://www.linkedin.com/company/emarketer-inc/Follow EMarketer online at: http://emarketer.comLearn more about Sarah's research report “Retail Media Networks: Trends, Benchmarks, and Leadership in 2025” here: https://www.emarketer.com/content/retail-media-networks-trends-benchmarks-leadership-2025Sarah answers these questions:What led you to develop this new report on retail media networks. What were you hearing in the industry that made you believe this might resonate in terms of thought leadership?Your report highlights *strong strategic conviction but uneven operational maturity* across RMNs. Where do you see the biggest disconnect between ambition and enablement today—and what's driving that gap?Any thoughts on how organizations can choose a model that will drive success?Fewer than half of surveyed RMNs have cross-functional KPIs, and fewer than one-third tie incentives to merchandising teams. What's preventing incentive alignment, and what does “good” look like?Measurement and reporting ranked as *the most pressing challenge* for RMNs—especially proving incrementality. What innovations or methodological shifts do you expect will actually move the industry forward?Survey respondents anticipate future growth from a mix of in-store, onsite, and offsite channels. What formats or surfaces do you see emerging as the *next big accelerators* of RMN revenue?Respondents believe zero-click search and agentic AI will be *the most disruptive forces* shaping retail media over the next three years. How should brands and RMNs prepare for this shift?RMNs say that next year, their top priorities will shift toward *tech modernization, data infrastructure, and off-site media acceleration.* What will separate the networks that actually deliver from those that simply aspire?How do interested professionals learn more about this research report?CPG Guys Website: http://CPGguys.comFMCG Guys Website: http://FMCGguys.comSheCOMMERCE Website: https://shecommercepodcast.com/Rhea Raj's Website: http://rhearaj.comLara Raj in Katseye: https://www.katseye.world/DISCLAIMER: The content in this podcast episode is provided for general informational purposes only. By listening to our episode, you understand that no information contained in this episode should be construed as advice from CPGGUYS, LLC or the individual author, hosts, or guests, nor is it intended to be a substitute for research on any subject matter. Reference to any specific product or entity does not constitute an endorsement or recommendation by CPGGUYS, LLC. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represent.CPGGUYS LLC expressly disclaims any and all liability or responsibility for any direct, indirect, incidental, special, consequential or other damages arising out of any individual's use of, reference to, or inability to use this podcast or the information we presented in this podcast.

Episode Notes AI has become one of the biggest conversations in HR — but what's actually happening inside organizations today? In this session, we unpack Phenom's State of AI & Automation for HR: 2026 Benchmarks Report, sharing how organizations are using AI to automate hiring workflows, scale personalization, and augment human capability. We'll explore maturity patterns across industries, highlight the real-world impact already being achieved — even at early adoption stages — and map the journey toward intelligent agents that operate responsibly and measurably. This is a data-driven conversation about the future of work and the pivotal role HR leaders play in guiding their organizations toward scalable AI productivity.

US President Trump announced on Saturday that the US successfully carried out a large-scale strike against Venezuela, while he added that President Maduro and his wife were captured and flown out of Venezuela.US President Trump said they are ready to stage a second strike if necessary and had assumed a second wave was needed, but now probably not.US President Trump signalled the US could widen its focus in the region to Cuba, and he will be meeting with House Republicans in a closed-door meeting on Tuesday. Further, Trump said it “sounds good” to him regarding whether there will be an operation in Colombia.European bourses are broadly in the green; US equity futures are mixed, with outperformance in the NQ. ASML +3% named top pick at Bernstein.DXY firmer on haven appeal, G10s subdued across the board to various degrees; Global fixed income slightly firmer with non-geopolitical updates somewhat light, ISM ahead.Choppy price action in the crude complex as geopolitics remain in focus; XAU gain on safe-haven demand; Copper raises following strength in the semiconductor sector.Looking ahead, highlights include US ISM Manufacturing PMI (Dec).Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

From creating SWE-bench in a Princeton basement to shipping CodeClash, SWE-bench Multimodal, and SWE-bench Multilingual, John Yang has spent the last year and a half watching his benchmark become the de facto standard for evaluating AI coding agents—trusted by Cognition (Devin), OpenAI, Anthropic, and every major lab racing to solve software engineering at scale. We caught up with John live at NeurIPS 2025 to dig into the state of code evals heading into 2026: why SWE-bench went from ignored (October 2023) to the industry standard after Devin's launch (and how Walden emailed him two weeks before the big reveal), how the benchmark evolved from Django-heavy to nine languages across 40 repos (JavaScript, Rust, Java, C, Ruby), why unit tests as verification are limiting and long-running agent tournaments might be the future (CodeClash: agents maintain codebases, compete in arenas, and iterate over multiple rounds), the proliferation of SWE-bench variants (SWE-bench Pro, SWE-bench Live, SWE-Efficiency, AlgoTune, SciCode) and how benchmark authors are now justifying their splits with curation techniques instead of just "more repos," why Tau-bench's "impossible tasks" controversy is actually a feature not a bug (intentionally including impossible tasks flags cheating), the tension between long autonomy (5-hour runs) vs. interactivity (Cognition's emphasis on fast back-and-forth), how Terminal-bench unlocked creativity by letting PhD students and non-coders design environments beyond GitHub issues and PRs, the academic data problem (companies like Cognition and Cursor have rich user interaction data, academics need user simulators or compelling products like LMArena to get similar signal), and his vision for CodeClash as a testbed for human-AI collaboration—freeze model capability, vary the collaboration setup (solo agent, multi-agent, human+agent), and measure how interaction patterns change as models climb the ladder from code completion to full codebase reasoning. We discuss: John's path: Princeton → SWE-bench (October 2023) → Stanford PhD with Diyi Yang and the Iris Group, focusing on code evals, human-AI collaboration, and long-running agent benchmarks The SWE-bench origin story: released October 2023, mostly ignored until Cognition's Devin launch kicked off the arms race (Walden emailed John two weeks before: "we have a good number") SWE-bench Verified: the curated, high-quality split that became the standard for serious evals SWE-bench Multimodal and Multilingual: nine languages (JavaScript, Rust, Java, C, Ruby) across 40 repos, moving beyond the Django-heavy original distribution The SWE-bench Pro controversy: independent authors used the "SWE-bench" name without John's blessing, but he's okay with it ("congrats to them, it's a great benchmark") CodeClash: John's new benchmark for long-horizon development—agents maintain their own codebases, edit and improve them each round, then compete in arenas (programming games like Halite, economic tasks like GDP optimization) SWE-Efficiency (Jeffrey Maugh, John's high school classmate): optimize code for speed without changing behavior (parallelization, SIMD operations) AlgoTune, SciCode, Terminal-bench, Tau-bench, SecBench, SRE-bench: the Cambrian explosion of code evals, each diving into different domains (security, SRE, science, user simulation) The Tau-bench "impossible tasks" debate: some tasks are underspecified or impossible, but John thinks that's actually a feature (flags cheating if you score above 75%) Cognition's research focus: codebase understanding (retrieval++), helping humans understand their own codebases, and automatic context engineering for LLMs (research sub-agents) The vision: CodeClash as a testbed for human-AI collaboration—vary the setup (solo agent, multi-agent, human+agent), freeze model capability, and measure how interaction changes as models improve — John Yang SWE-bench: https://www.swebench.com X: https://x.com/jyangballin Chapters 00:00:00 Introduction: John Yang on SWE-bench and Code Evaluations 00:00:31 SWE-bench Origins and Devon's Impact on the Coding Agent Arms Race 00:01:09 SWE-bench Ecosystem: Verified, Pro, Multimodal, and Multilingual Variants 00:02:17 Moving Beyond Django: Diversifying Code Evaluation Repositories 00:03:08 Code Clash: Long-Horizon Development Through Programming Tournaments 00:04:41 From Halite to Economic Value: Designing Competitive Coding Arenas 00:06:04 Ofir's Lab: SWE-ficiency, AlgoTune, and SciCode for Scientific Computing 00:07:52 The Benchmark Landscape: TAU-bench, Terminal-bench, and User Simulation 00:09:20 The Impossible Task Debate: Refusals, Ambiguity, and Benchmark Integrity 00:12:32 The Future of Code Evals: Long Autonomy vs Human-AI Collaboration 00:14:37 Call to Action: User Interaction Data and Codebase Understanding Research

Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Matthew Fitzpatrick is the CEO at Invisible Technologies Learn about Invisible Salim Ismail is the founder of OpenExO Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding      Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   Grab dinner with MOONSHOT listeners: https://moonshots.dnnr.io/ _ Connect with Peter: X Instagram Connect with Matthew Linkedin  Connect with Dave: X LinkedIn Connect with Salim: X Join Salim's Workshop to build your ExO  Connect with Alex Website LinkedIn X Email Listen to MOONSHOTS: Apple YouTube – *Recorded on December 16th, 2025 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Is a car that wins a Formula 1 race the best choice for your morning commute? Probably not. In this sponsored deep dive with Prolific, we explore why the same logic applies to Artificial Intelligence. While models are currently shattering records on technical exams, they often fail the most important test of all: **the human experience.**Why High Benchmark Scores Don't Mean Better AIJoining us are **Andrew Gordon** (Staff Researcher in Behavioral Science) and **Nora Petrova** (AI Researcher) from **Prolific**. They reveal the hidden flaws in how we currently rank AI and introduce a more rigorous, "humane" way to measure whether these models are actually helpful, safe, and relatable for real people.---Key Insights in This Episode:* *The F1 Car Analogy:* Andrew explains why a model that excels at the "Humanities Last Exam" might be a nightmare for daily use. Technical benchmarks often ignore the nuances of human communication and adaptability.* *The "Wild West" of AI Safety:* As users turn to AI for sensitive topics like mental health, Nora highlights the alarming lack of oversight and the "thin veneer" of safety training—citing recent controversial incidents like Grok-3's "Mecha Hitler."* *Fixing the "Leaderboard Illusion":* The team critiques current popular rankings like Chatbot Arena, discussing how anonymous, unstratified voting can lead to biased results and how companies can "game" the system.* *The Xbox Secret to AI Ranking:* Discover how Prolific uses *TrueSkill*—the same algorithm Microsoft developed for Xbox Live matchmaking—to create a fairer, more statistically sound leaderboard for LLMs.* *The Personality Gap:* Early data from the **Humane Leaderboard** suggests that while AI is getting smarter, it is actually performing *worse* on metrics like personality, culture, and "sycophancy" (the tendency for models to become annoying "people-pleasers").---About the HUMAINE LeaderboardMoving beyond simple "A vs. B" testing, the researchers discuss their new framework that samples participants based on *census data* (Age, Ethnicity, Political Alignment). By using a representative sample of the general public rather than just tech enthusiasts, they are building a standard that reflects the values of the real world.*Are we building models for benchmarks, or are we building them for humans? It's time to change the scoreboard.*Rescript link:https://app.rescript.info/public/share/IDqwjY9Q43S22qSgL5EkWGFymJwZ3SVxvrfpgHZLXQc---TIMESTAMPS:00:00:00 Introduction & The Benchmarking Problem00:01:58 The Fractured State of AI Evaluation00:03:54 AI Safety & Interpretability00:05:45 Bias in Chatbot Arena00:06:45 Prolific's Three Pillars Approach00:09:01 TrueSkill Ranking & Efficient Sampling00:12:04 Census-Based Representative Sampling00:13:00 Key Findings: Culture, Personality & Sycophancy---REFERENCES:Paper:[00:00:15] MMLUhttps://arxiv.org/abs/2009.03300[00:05:10] Constitutional AIhttps://arxiv.org/abs/2212.08073[00:06:45] The Leaderboard Illusionhttps://arxiv.org/abs/2504.20879[00:09:41] HUMAINE Framework Paperhttps://huggingface.co/blog/ProlificAI/humaine-frameworkCompany:[00:00:30] Prolifichttps://www.prolific.com[00:01:45] Chatbot Arenahttps://lmarena.ai/Person:[00:00:35] Andrew Gordonhttps://www.linkedin.com/in/andrew-gordon-03879919a/[00:00:45] Nora Petrovahttps://www.linkedin.com/in/nora-petrova/Event:Algorithm:[00:09:01] Microsoft TrueSkillhttps://www.microsoft.com/en-us/research/project/trueskill-ranking-system/Leaderboard:[00:09:21] Prolific HUMAINE Leaderboardhttps://www.prolific.com/humaine[00:09:31] HUMAINE HuggingFace Spacehttps://huggingface.co/spaces/ProlificAI/humaine-leaderboard[00:10:21] Prolific AI Leaderboard Portalhttps://www.prolific.com/leaderboardDataset:[00:09:51] Prolific Social Reasoning RLHF Datasethttps://huggingface.co/datasets/ProlificAI/social-reasoning-rlhfOrganization:[00:10:31] MLCommonshttps://mlcommons.org/

So much for OpenAI's triumphant return Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode of The Metrics Brothers, hosts Ray “Growth” Rike and Dave “CAC” Kellogg provide a critical deep dive into the 2025 SaaS Benchmark Report published by High Alpha. Known for their analytical, and sometimes "crusty" approach, the metrics brothers dissect the data behind 800+ SaaS companies to separate real market trends from report commentary.Key Highlights & BenchmarksThe brothers break down the report's most significant findings with their signature skepticism regarding "correlation vs. causation."The AI Growth Premium: Companies with AI at their core are growing significantly faster than those using AI as a supporting feature. For instance, in the $1–5M ARR band, AI-core companies achieved a median growth of 110%, compared to 40% for their peersThe "Lean Team" Era: Efficiency is surging as headcount falls. Median revenue per employee has jumped to $129K–$173K, with top-tier public companies hitting over $283K. The hosts note that engineering and support have seen the largest headcount reductions due to AI automationVenture Rebound (with a Caveat): While quarterly VC deal value has returned to near 2021 levels (~$80B), the capital is highly concentrated. Over half of all VC funding is currently flowing into AI startups, often in massive "mega-rounds."In-Office vs. Remote: For the second consecutive year, the data suggests that in-office or hybrid teams are growing faster (42% median) than fully remote teams (31% median).As always, Ray and Dave offer practical advice for founders and GTM leaders:"Read the data, but watch out for the commentary." While the data is good, some commentary and conclusions in the report imply causation where there is at best some level of correlation, such as why companies stay private longer or how AI "drives" growth.Retention is King: The strongest growth outcomes are found where high Net Revenue Retention (NRR) meets short CAC payback periods.Outcome-Based Pricing: The brothers highlight the shift toward outcome-based and hybrid pricing models as a primary driver for best-in-class NRR in 2025.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

US President Trump is to give an address to the nation on Wednesday night, live from the White House at 21:00EST (02:00GMT Thursday). White House Press Secretary said that Trump's address will be about accomplishments, while he will talk about what's to come and maybe tease new year policies.European bourses are mostly stronger this morning, with US equity futures also posting modest upside.DXY is firmer, the GBP has been hit after the UK's cooler-than-expected inflation report, which near-enough cements a BoE cut this week.Gilts outperform on the UK's data whilst USTs hold a downward bias.Crude benchmarks reverse Tuesday's losses following the blockade of Venezuelan oil tankers and reports of new Russian energy sanctions if Russia rejects the peace deal; XAU and Copper trading with slight gains.Looking ahead, highlights include Fed's Waller, Williams & Bostic, Supply from US, Earnings from Micron, New Zealand GDP (Q3).Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

Every week brings a new AI benchmark. Higher scores. Bigger claims. Louder voices insisting this changes everything. And yet, when you put AI in front of a real business problem, none of that noise seems to help. In this episode, Rob and Justin dig into why AI benchmarks often feel strangely meaningless in practice and why that disconnect is the point. Benchmarks aren't useless. They're just answering a different question than the one most businesses are asking. This isn't just random conjecture either. Rob walks through what he's learned building actual AI workflows and why a twenty percent improvement on a leaderboard rarely translates into anything you can feel on the job. They talk about why model choice usually isn't the bottleneck, why swapping models should be easy if you've built things the right way, and why the most successful AI work rarely shows up as a flashy demo. Most of the value is happening quietly, off-screen, inside systems that look a lot more like normal software than artificial intelligence. Rob and Justin also talk about why explaining AI is often harder than building it. The first demo people see tends to stick, even when it's the wrong one. Consumer AI feels magical. Business AI face plants unless it's built with intent, structure, and real context. This episode gives leaders better language for that gap, without hype or panic. If you're done chasing benchmarks and just want a way to think about AI that survives contact with reality, this episode's for you.

This week on The Geek in Review, we sit down with Jennifer McIver, Legal Ops and Industry Insights at Wolters Kluwer ELM Solutions. We open with Jennifer's career detour from aspiring forensic pathologist to practicing attorney to legal tech and legal ops leader, sparked by a classic moment of lawyer frustration, a slammed office door, and a Google search for “what else can I do with my law degree.” From implementing Legal Tracker at scale, to customer success with major clients, to product and strategy work, her path lands in a role built for pattern spotting, benchmarking, and translating what legal teams are dealing with into actionable insights.Marlene pulls the thread on what the sharpest legal ops teams are doing with their data right now. Jennifer's answer is refreshingly practical. Visibility wins. Dashboards tied to business strategy and KPIs beat “everything everywhere all at once” reporting. She talks through why the shift to tools like Power BI matters, and why comfort with seeing the numbers is as important as the numbers themselves. You cannot become a strategic partner if the data stays trapped inside the tool, or inside the legal ops team, or inside someone's head.Then we get into the messy part, which is data quality and data discipline. Jennifer points out the trap legal teams fall into when they demand 87 fields on intake forms and then wonder why nobody enters anything, or why every category becomes “Other,” also known as the graveyard of analytics. Her suggestion is simple. Pick the handful of fields that tell a strong story, clean them up, and get serious about where the data lives. She also stresses the role of external benchmarks, since internal trends mean little without context from market data.Greg asks the question on everyone's bingo card, what is real in AI today versus what still smells like conference-stage smoke. Jennifer lands on something concrete, agentic workflows for the kind of repeatable work legal ops teams do every week. She shares how she uses an agent to turn event notes into usable internal takeaways, with human review still in the loop, and frames the near-term benefit as time back and faster cycles. She also calls out what slows adoption down inside many companies, internal security and privacy reviews, plus AI committees that sometimes lag behind the teams trying to move work forward.Marlene shifts to pricing, panels, AFAs, and what frustrates GCs and legal ops leaders about panel performance. Jennifer describes two extremes, rigid rate programs with little conversation, and “RFP everything” process overload. Her best advice sits in the middle, talk early, staff smart, and match complexity to the right team, so cost and risk make sense. She also challenges the assumption that consolidation always produces value. Benchmarking data often shows you where you are overpaying for certain work types, even when volume discounts look good on paper.We close with what makes a real partnership between corporate legal teams and firms, and Jennifer keeps returning to two themes, communication and transparency, with examples. Jennifer's crystal ball for 2026 is blunt and useful, data first, start the hard conversations now, and take a serious look at roles and skills inside legal ops, because the job is changing fast.Links:Jennifer McIver's LinkedIn pageWolters Kluwer ELM Solutions homepageLegalVIEW Insights reports homepageLegalVIEW DynamicInsights pageTyMetrix 360° pageListen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠[Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.]⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.comMusic: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

[325] In 2024, Qnity's research arm, the Qnity Institute, conducted a study. At the heart of it was one core question: ‘What does a financially successful salon look like?' In this episode, Tom Kuhn, CEO of Qnity—an organisation offering education and tools for economic empowerment in the beauty industry—shares findings and insights from the subsequent 50-page report, published in June 2025. The ‘2024 Salon P&L Benchmark Study' set out to paint a clearer picture of the industry, establish reliable benchmarks, and deliver actionable insights that could help improve profitability, and this conversation aims to do the same, equipping salon owners with prompts for reflection or conversation starters about the financial health of their own business going into 2026. Find out more about Qnity, and the Qnity Institute. To participate in the 2025 version of the study, click here. Follow Tom Kuhn on Instagram: @tomhkuhn Learn more about the Salon Owners Summit: https://www.salonownersummit.com/ Enjoyed the episode? Leave a rating and review on Apple Podcasts! Click here to subscribe to the PhorestFM email newsletter or here to learn more about Phorest Salon Software. This episode was edited and mixed by Audio Z: Montreal's cutting-edge post-production studio for creative minds looking to have their vision professionally produced and mixed. Great music makes great moments.  

Karl-Moritz Hermann, Gründer von reliant.ai, spricht über den Weg von DeepMind zum eigenen KI-Startup. Er teilt, warum sie bewusst B2B statt B2C wählten, wie sie durch Benchmarks echte Probleme identifizierten und warum manchmal 85% Genauigkeit hervorragend und manchmal katastrophal sein können. Was du lernst: Die richtige KI-Produktstrategie finden Wie man echte Probleme identifiziert Warum Benchmarks entscheidend sind Den richtigen Mix aus Forschung und Anwendung ALLES ZU UNICORN BAKERY: https://stan.store/fabiantausch   Mehr zu Karl-Moritz: LinkedIn: https://www.linkedin.com/in/karlmoritz/  Reliant AI: https://www.reliant.ai/  Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/ 

Justin Nielsen and David Saito-Chung walk through Monday's market action and discuss key stocks to watch in Stock Market Today. Learn more about your ad choices. Visit megaphone.fm/adchoices

Exploring Tech Jeopardy, the Evolution of AI, and Disney's Collaboration with OpenAI In this episode of Hashtag Trending, the hosts engage in a game of Tech Jeopardy, covering topics such as ransomware, zero trust, and social engineering attacks. They discuss the release of ChatGPT 5.2 and its capabilities, including its impact on various industries and potential security implications. The episode also explores Disney's $1 billion partnership with OpenAI for the use of Disney characters in Sora, touching on the ethical and practical implications of such advancements. The hosts express concerns about the fast-paced development and potential risks associated with AI, emphasizing the need for balancing innovation with safety. Hashtag Trending would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt 00:00 Introduction and Sponsor Message 00:21 Tech Jeopardy Begins 02:16 Daily Double and Programming Trivia 04:11 ChatGPT 5.2 Release Discussion 05:54 Reddit and Social Media Insights 08:34 AI Advancements and Benchmarks 24:16 Security Concerns and AI Impact 32:36 The Rise of Automated Warfare 33:19 AI in Cybersecurity: A Double-Edged Sword 38:04 The Tipping Point of AI Adoption 46:32 Disney and OpenAI: A Billion-Dollar Partnership 49:53 The Future of AI-Driven Entertainment 55:25 AI-Powered Tools Transforming Workflows 01:00:42 The Race for AI Dominance 01:08:48 Concluding Thoughts on AI's Impact

Das Time Magazine kürt die "Architects of AI" zur Person of the Year 2025. OpenAI kontert Googles Gemini-Erfolg mit GPT 5.2 und übertrifft in vielen Benchmarks wieder die Konkurrenz. Disney investiert eine Milliarde Dollar in OpenAI und bringt 200 Charaktere auf Sora. OpenAI holt sich eine Salesforce-Veteranin als Chief Revenue Officer. SpaceX peilt beim IPO jetzt 1,5 Billionen Dollar an. Meta gibt Open Source auf und baut ein geschlossenes Modell namens "Avocado". DeepSeek nutzt trotz Sanktionen Nvidia Blackwell Chips. Das Pentagon stattet Mitarbeiter mit Google Gemini aus. Die USA fordern bei Einreise künftig fünf Jahre Social Media History. Berliner Zahnärzte verzocken eine Milliarde Euro Rentengelder in Venture Deals. Palantir-Gründer fordert öffentliches Erhängen von Straftätern. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Intro (00:01:23) Time Person of the Year: The Architects of AI (00:09:34) OpenAI GPT 5.2: Neues Flagship-Modell schlägt Benchmarks (00:15:58) OpenAI wird zum Attention-Grabber wie Social Media (00:20:00) OpenAI holt Slack-CEO als Chief Revenue Officer (00:23:19) Disney investiert $1 Mrd. in OpenAI für Sora-Charaktere (00:32:21) OpenAI plant Adult Content für 2026 (00:38:23) SpaceX IPO: Bewertung jetzt bei $1,5 Billionen (00:41:31) Margin Debt verdoppelt: Bubble-Indikator? (00:48:11) Pentagon nutzt Google Gemini (genai.mil) (00:55:04) Venture Capital Fundraising kollabiert auf $60 Mrd. (00:56:04) Meta gibt Open Source auf: Neues Modell "Avocado" (00:56:55) DeepSeek nutzt Nvidia Blackwell Chips trotz Sanktionen (00:58:30) Oracle Earnings (01:02:04) USA fordern 5 Jahre Social Media History bei Einreise (01:05:39) Berliner Zahnärzte verzocken 1 Mrd. Euro Rentengelder (01:08:56) Palantir Gründer fordert Erhängen (01:14:36) El Salvador kauft Grok für Schulbildung (01:15:30) KI-Hacker besser als 9 von 10 Menschen (01:17:00) Russische Schiffe und Drohnen über Deutschland Shownotes KI-Architekten: Personen des Jahres 2025 - time.com GPT5.2- wired Einführung von GPT-5.2 - openai.com Denise Dresser: Von Slack-CEO zur Chief Revenue Officer bei OpenAI - wired.com Disney und Sora einigen sich - openai.com Disney Google - variety ChatGPTs Erwachsenenmodus kommt 2026 - gizmodo.com SpaceX plant Börsengang 2026 mit über 30 Milliarden Dollar Bewertung - bloomberg.com Zeitpunkt der platzenden Aktienmarktblase bestimmen - linkedin.com Pentagon wählt Google AI-Plattform für Millionen von Mitarbeitern - bloomberg.com Pip Tweet VC- x.com Metas Wandel: Vom Open-Source-Projekt zum profitablen KI-Modell - bloomberg.com DeepSeek verwendet verbotene Nvidia-Chips für nächstes Modell. - theinformation.com Oracle Q2-Gewinnbericht 2026 - wsj.com Grenzkontrollen: Einfluss von Social Media auf Touristenvisa - nytimes.com Zahnärzte - tagesspiegel US Marine enthüllt "ShipOS" mit Palantir zur Beschleunigung des Schiffbaus - axios.com Joe Lonsdale von Palantir äußert sich zu öffentlichen Hinrichtungen - independent.co.uk Elon Musk: Grok-Initiative in El Salvador - theguardian.com KI-Hacker kommen gefährlich nah daran, Menschen zu übertreffen - wsj.com Iron Man - instagram.com Drohnen - digitaldigging.org Google Deepmind - ft.com

MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview Peter Lohmann (https://x.com/pslohmann). In this episode, we dive into the unsexy but incredibly lucrative world of property management with Peter Lohmann, the founder of RL Property Management in Columbus, Ohio.Peter reveals how he scaled his business from zero to nearly 700 units and $3 million in revenue after leaving his job as an engineer. Peter also shares his controversial advice on why you should start, not buy, a management company if you are new to business, and details the "operational nightmare" you must navigate to reach success.We even discuss the massive opportunity for exits, where Private Equity firms are paying 1.5x to 2x top-line revenue for established companies.Questions This Episode Answers:1. What are the target benchmarks for revenue per door and profit margins in a successful property management business?2. Why does Peter recommend building a company from scratch rather than acquiring an existing one?3. What specific marketing strategies—from Google Business Profiles to meetups—would Peter use to get 100 doors in just six months?4. At what unit count does a property management company typically become self-sustaining enough to hire full-time staff?5. How are Private Equity groups valuing these businesses, and what multiples can you expect if you sell?Enjoy the conversation!__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 Highlights00:27 Introduction to Property Management00:54 Revenue and Profit Margins02:29 Understanding Clients and Tenants03:06 Key Responsibilities of Property Managers03:37 Profiles of Property Owners04:29 Why Hire a Property Management Company?05:41 Payment Structures and Fees06:34 Company History and Growth10:50 Remote and Local Operations16:16 Starting a Property Management Business19:02 Finding Your First Clients19:29 Early Challenges and Strategies20:47 Benchmarks in Property Management21:50 The Importance of Community23:27 Scaling Your Business30:57 Operational Complexities32:21 Opportunities in Property Management35:38 Conclusion and Final Thoughts

In this episode, I get into all these viral “every man should be able to…” fitness challenges you see on Instagram and YouTube—the ones with the deep-voice narrator rattling off random benchmarks that aren’t age-graded, aren’t grounded in any science, and somehow declare you “top 10% of health.” I talk about why the subject is relevant, what these lists get wrong, and how to think more clearly about real fitness benchmarks—especially as we age. I share the simple 6%-per-decade decline metric from masters track, my own goals in the 400 meters and high jump, and the example my dad set as he gracefully slowed down from walking entire golf courses in his eighties to looping the backyard in his nineties. The big point: we all slow down, but we don’t have to fall apart. From there, I take you through the real markers that matter for longevity and everyday vitality: walking as the centerpiece of aerobic conditioning, maintaining functional muscle strength to stave off sarcopenia and “opia,” and why explosive power—being able to save yourself from a misstep—is literally a one-rep-max that can determine your fate. We get into the dangers of falling, the massive brain-health benefits seen in active seniors, why VO₂ max is just one slice of the picture, and why the best longevity challenge of all is simply doing something you love enough to keep doing it for life. I also make the case for the 400 meters as the ultimate full-body benchmark—an event that forces you to tap every major energy system and says way more about real-world fitness than shuffling through a half marathon or throwing around big weights. If you want a clearer blueprint for staying strong, powerful, mobile, and fully alive deep into your later decades, this one pulls all the pieces together. TIMESTAMPS: Brad questions the validity of some fitness challenges on the internet. They should be age graded. [01:02] The best longevity fitness challenge is doing something you personally enjoy doing and would like to continue doing for the rest of your life. [07:44] There are important benchmarks in the areas of mobility and flexibility as well as strength, power, explosive power, as you age. [12:32] In one study of seniors, it was found that the group who walked at least 4000 steps per day had bigger brains because of their walking habits. [16:47] You have to preserve that functional muscle strength throughout life to avoid the single most prominent marker of accelerated aging, which is sarcopenia, age-related muscle loss. [18:49] Running the 400 meter says volumes about your overall physical fitness and vitality. [21:49] Jogging 2.0 on the YouTube channel shows a typical morning session for Brad. where he shows a variety of fitness drills. [30:24] What is your mile time? Brad talks about a study that predicted longevity more accurately than blood work. [34:20] There are many other benchmarks to measure your fitness. [36:29] “Lift heavy things” means to engage in regular bouts of brief, explosive, high-intensity strength training. [38:22] LINKS: Brad Kearns.com BradNutrition.com B.rad Superdrink – Hydrates 28% Faster than Water—Creatine-Charged Hydration for Next-Level Power, Focus, and Recovery B.rad Whey Protein Superfuel - The Best Protein on The Planet! Brad’s Shopping Page BornToWalkBook.com B.rad Podcast – All Episodes Peluva Five-Toe Minimalist Shoes Outlive, by Peter Attia Jogging 2.0 video We appreciate all feedback, and questions for Q&A shows, emailed to podcast@bradventures.com. If you have a moment, please share an episode you like with a quick text message, or leave a review on your podcast app. Thank you! Check out each of these companies because they are absolutely awesome or they wouldn’t occupy this revered space. Seriously, I won’t promote anything that I don't absolutely love and use in daily life: B.rad Nutrition: Premium quality, all-natural supplements for peak performance, recovery, and longevity; including the world's highest quality whey protein! Peluva: Comfortable, functional, stylish five-toe minimalist shoe to reawaken optimal foot function. Use code BRADPODCAST for 15% off! Ketone-IQ Save 30% off your first subscription order & receive a free six-pack of Ketone-IQ! Get Stride: Advanced DNA, methylation profile, microbiome & blood at-home testing. Hit your stride the right way, with cutting-edge technology and customized programming. Save 10% with the code BRAD. Mito Red Light: Photobiomodulation light panels to enhance cellular energy production, improve recovery, and optimize circadian rhythm. Use code BRAD for 5% discount! Online educational courses: Numerous great offerings for an immersive home-study educational experience Primal Fitness Expert Certification: The most comprehensive online course on all aspects of traditional fitness programming and a total immersion fitness lifestyle. Save 25% on tuition with code BRAD! See omnystudio.com/listener for privacy information.

The USMNT isn't alone in feeling good about Group D. Jimmy Conrad, Charlie Davies and Tony Meola discuss how Australia and Paraguay reacted to the World Cup draw and Mike Grella's disparaging comments, and whether Team USA fared better than fellow co-hosts Mexico and Canada. Mauricio Pochettino has to whittle down his player pool, and Tyler Adams sets a lofty benchmark for the Stars and Stripes. A flu-stricken Christian Pulisic saves the day for AC Milan, but can he parlay his club form into an iconic World Cup performance? The Athletic's Paul Tenorio joins to talk about FIFA's water breaks as well as Inter Miami clinching the MLS Cup. What are the next steps for the Herons and the rest of the league? And Lionel Messi follows in Tony's footsteps by scooping the MLS MVP Award! Call It What You Want is available for free on the Audacy app as well as Apple Podcasts, Spotify and wherever else you listen to podcasts.  Follow the Call It What You Want team on X:⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@JimmyConrad⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠ @CharlieDavies9⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠@TMeola1⁠⁠⁠⁠⁠⁠⁠ Visit the ⁠betting arena on CBSSports.com⁠ for all the latest in ⁠sportsbook reviews⁠ and ⁠sportsbook promos⁠ for ⁠betting on soccer⁠ For more soccer coverage from CBS Sports, visit ⁠https://www.cbssports.com/soccer/⁠ To hear more from the CBS Sports Podcast Network, visit ⁠https://www.cbssports.com/podcasts/⁠ Watch UEFA Champions League, UEFA Europa League, UEFA Europa Conference League, UEFA Women's Champions League, EFL Championship, EFL League Cup, Carabao Cup, Serie A, Coppa Italia, CONCACAF Nations League, CONCACAF World Cup Qualifiers, Lamar Hunt U.S. Open Cup, NWSL, Scottish Premiership, AFC Champion League by subscribing to ⁠⁠⁠⁠⁠⁠⁠⁠Paramount+⁠⁠⁠⁠⁠⁠⁠⁠ Visit the betting arena on CBS Sports.com: ⁠https://www.cbssports.com/betting/⁠ For all the latest in sportsbook reviews: ⁠https://www.cbssports.com/betting/news/sportsbook-promos/⁠ And sportsbook promos: ⁠https://www.cbssports.com/betting/news/sportsbook-promos/ To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Fresh out of the studio, Karen Hao, investigative journalist and author of "Empire of AI" joined us in a conversation to unravel how companies like OpenAI, Anthropic, and xAI have become modern empires reshaping society, labor, and democracy itself. Karen traces her journey from mechanical engineering at MIT to becoming one of the tech industry's most critical voices, sharing how Silicon Valley's innovation ecosystem has distorted toward self-interest rather than the public good. She unpacks the four characteristics that make AI companies mirror colonial empires: resource extraction through data scraping, labor exploitation of annotation workers, knowledge monopolies where most AI researchers are industry-funded, and quasi-religious quests to build an "AI God." Throughout the conversation, Karen reveals OpenAI's governance dysfunction stemming from its contradictory non-profit-for-profit structure and shares the inspiring story of Chilean water activists who successfully blocked Google's data center from draining their community's freshwater resources. She explains how Sam Altman's plans for 250 gigawatts of data center capacity—equivalent to four dozen New York Cities—would be environmentally catastrophic, while demonstrating how China's export restrictions paradoxically spurred more efficient AI innovation. Last but not least, she argues that empathy-driven journalism remains irreplaceable and calls for global citizens to hold these companies accountable to the broader public interest."These empires are amassing extraordinary amounts of resources by dispossessing a majority of the world. That includes like the data that they're extracting from people by just scraping it from online or intellectual property that they're taking from artists and creators. Most AI researchers now work for the AI industry and/or are funded in part by the AI industry. Even academics that have stayed within universities are often funded by the AI industry, and the effect that that has had on knowledge production is akin to the effect we would imagine if most climate scientists were bankrolled by the fossil fuel industry. I cannot stress enough how much they genuinely believe that they are on the path to creating something akin to an AI god, and that this is going to have cataclysmic shifts on civilization." - Karen Hao, Author of Empire of AIEpisode Highlights:[00:00] Quote of the Day by Karen Hao[00:47] Introduction: Karen Hao, Author of "Empire of AI"[01:44] From MIT engineering to investigating AI journalism[02:51] Silicon Valley distorts innovation toward self-benefit[04:12] AI companies as modern empires of power[06:00] Four traits of Empire: extraction, exploitation, monopolies, ideology[09:01] Quasi-religious movements driving Silicon Valley AI development[10:04] AGI believers speak specialized fanatical vocabulary[11:16] OpenAI founding: nonprofit facade, profit ambitions[13:53] Sam Altman firing: board's failed governance attempt[17:13] Fragmentation: every billionaire building their own AI[19:06] China's export controls sparked efficient AI innovation[21:57] Silicon Valley lacks American democratic values entirely[25:06] Chilean activists successfully blocked Google's water extraction[28:51] Sam Altman's 250 gigawatts: four dozen New York cities[31:21] Scaling continues despite base model asymptote reached[32:53] Benchmarks faulty: training data unknown, results unreliable[39:11] Success: sparking conversation about AI's human costs[39:40] ClosingProfile: Karen Hao, Author of Empire of AI and Investigative Journalist LinkedIn: https://www.linkedin.com/in/karendhao/Personal Site: https://karendhao.com/Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format.

This special ChinaTalk cross-post features Zixuan Li of Z.ai (Zhipu AI), exploring the culture, incentives, and constraints shaping Chinese AI development. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. The discussion covers Z.ai's powerful GLM 4.6 model, their open weights strategy as a marketing tactic, and unique Chinese AI use cases like "role-play." Gain insights into the rapid pace of innovation, the talent market, and how Chinese companies view their position relative to global AI leaders. Sponsors: Google AI Studio: Google AI Studio features a revamped coding experience to turn your ideas into reality faster than ever. Describe your app and Gemini will automatically wire up the right models and APIs for you at https://ai.studio/build Agents of Scale: Agents of Scale is a podcast from Zapier CEO Wade Foster, featuring conversations with C-suite leaders who are leading AI transformation. Subscribe to the show wherever you get your podcasts Framer: Framer is the all-in-one platform that unifies design, content management, and publishing on a single canvas, now enhanced with powerful AI features. Start creating for free and get a free month of Framer Pro with code COGNITIVE at https://framer.com/design Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) Sponsor: Google AI Studio (00:31) About the Episode (03:44) Introducing Z.AI (07:07) Drupu AI's Backstory (09:38) Achieving Global Recognition (Part 1) (12:53) Sponsors: Agents of Scale | Framer (15:15) Achieving Global Recognition (Part 2) (15:15) Z.AI's Internal Culture (19:17) China's AI Talent Market (24:39) Open vs. Closed Source (Part 1) (24:46) Sponsors: Tasklet | Shopify (27:54) Open vs. Closed Source (Part 2) (35:16) Enterprise Sales in China (40:38) AI for Role-Playing (45:56) Optimism vs. Fear of AI (51:36) Translating Internet Culture (57:11) Navigating Compute Constraints (01:03:59) Future Model Directions (01:15:02) Release Velocity & Work Culture (01:25:04) Outro

Welcome to this mid-week RealAg Radio show! For today's show, host Shaun Haney is joined by: Amanda Richardson of the Centre for Agrifood Benchmarking on the four pillars of sustainability; Drew Spoelstra of the Ontario Federation of Agriculture on last year and the upcoming year; and, Dr. Trey Malone of Purdue University on embracing uncertainty... Read More

Welcome to this mid-week RealAg Radio show! For today's show, host Shaun Haney is joined by: Amanda Richardson of the Centre for Agrifood Benchmarking on the four pillars of sustainability; Drew Spoelstra of the Ontario Federation of Agriculture on last year and the upcoming year; and, Dr. Trey Malone of Purdue University on embracing uncertainty... Read More

Can the growing use of first-party data in mobile app advertising result in more effective, privacy-preserving ads? Are app store policies (around fingerprinting and the use of deterministic IDs) more relevant than specific data protection laws and enforcement actions? Can AI take contextual information to the next level? Will LLMs result in collecting less data in order to anticipate customer journeys?Zino Rost van Tonningen is the CEO of TyrAds, a cutting-edge adtech company revolutionizing mobile app marketing with privacy-first programmatic solutions. With over a decade of experience in growth and product strategy for fast-moving brands, Zino combines creative agility with strategic rigor to help startups and established app publishers scale effectively in today's cookieless ecosystem.References:* Zino Rost van Tonningen on LinkedIn* TyrAds: Mobile App Growth Simplified* Spotify: How We Automated Content Marketing to Acquire Users at Scale* Apple Developers: User privacy and data use* ATT opt-in rates in 2025: Benchmarks, insights and how to increase yours (Purchasely)* Overview of the SDK Runtime on Android This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

First, we break down “the market” by exploring the major indices investors follow every day. From the S&P 500 and Dow Jones Industrial Average to the Nasdaq Composite, we explain what these benchmarks measure, how they're built, and why your portfolio may not always mirror their movements. You'll learn the differences between price-weighted, equal-weighted, and market-cap-weighted indices, plus get insight into the Dow's historic milestones as it inches closer to 50,000.Then, we shift to Black Friday. With the holiday shopping season kicking off, we dig into the latest projections—how many Americans will shop, where they'll spend, and what trends are shaping this year's deals. Whether you love doorbusters or prefer digital carts, we'll connect the stats to what they could mean for consumers and the broader economy.Finally, as the year wraps up, we turn to your retirement strategy. We walk through the essentials of year-end IRA planning—from maximizing contributions to handling required minimum distributions and reviewing beneficiaries. We highlight key deadlines, common pitfalls to avoid, and tactics that can help strengthen your long-term savings.Three conversations, one goal: giving you the clarity and confidence to make informed financial decisions. Tune in!Join hosts Nick Antonucci, CVA, CEPA, Director of Research, and Managing Associates K.C. Smith, CFP®, CEPA, and D.J. Barker, CWS®, and Kelly-Lynne Scalice, a seasoned communicator and host, on Henssler Money Talks as they explore key financial strategies to help investors navigate market uncertainty. Henssler Money Talks — November 29, 2025  |  Season 39, Episode 48Timestamps and Chapters6:46: Benchmarks and Big Numbers28:50: Black Friday Unwrapped41:54: Finish Strong: Your Year-End IRA PlaybookFollow Henssler:  Facebook: https://www.facebook.com/HensslerFinancial/ YouTube:  https://www.youtube.com/c/HensslerFinancial LinkedIn: https://www.linkedin.com/company/henssler-financial/ Instagram: https://www.instagram.com/hensslerfinancial/ TikTok: https://www.tiktok.com/@hensslerfinancial?lang=en X: https://www.x.com/hensslergroup “Henssler Money Talks” is brought to you by Henssler Financial. Sign up for the Money Talks Newsletter: https://www.henssler.com/newsletters/ 

In this episode of Disruption/Interruption, host KJ interviews Matt Seefeld, CEO at MedEvolve, about the chaos and inefficiencies in the US healthcare revenue cycle. Matt shares how generative AI and a focus on human accountability can help providers achieve "zero touch" claims, reduce waste, and improve access to care, especially for small and rural hospitals. Four Key Takeaways: The Real Cost of Healthcare is Obscured (3:00)The US healthcare system lacks alignment between consumers, providers, and payers, making it nearly impossible to know the true cost of care. Administrative Waste is a Billion-Dollar Problem (04:01)Most providers touch claims multiple times, with 63% of those touches being wasted effort due to system inefficiencies and payer games. AI is a Tool, Not a Cure-All (31:50)While AI can automate and improve processes, more than half of claim errors still require human intervention, and technology alone won't solve systemic issues. Access to Care is Shrinking for Many Americans (24:00, 27:00)As costs rise and reimbursements fall, small and rural hospitals are closing, and more Americans are forced to seek care through emergency services or go without. Quote of the Show (31:50):"More than half—53%—of the errors that we see that humans have to get involved with come from AI solutions, so they're not smart enough yet." - Matt Seefeld Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Matt Seefeld: LinkedIn: https://www.linkedin.com/in/matt-seefeld-521319/ Company Website: https://medevolve.com How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

OMR feiert 10 Jahre Podcast-Party. OpenAI verliert Nutzer an Google. Google Gemini 3 Pro setzt neue Benchmarks und wird komplett auf TPUs trainiert, was intern bei OpenAI für Alarm sorgt. Meta prüft ebenfalls Google-TPUs, wodurch Google Anteile am Nvidia-Markt gewinnen könnte. YouTubes AI-Dubbing floppt. Anthropic senkt Preise deutlich, der Preiskampf eskaliert. Adobe kauft SEMrush, um AI-SEO auszubauen. Philipp nennt Gründe gegen einen eigenen Investmentfonds. Die Trump-“Genesis Mission” plant massive KI-Investitionen, Amazon baut dafür Gigawatt-Infrastruktur. Meta sichert langfristigen Strom und gerät wegen vernichteter Child-Safety-Beweise unter Druck. X zeigt fragwürdige Account-Standorte politischer Profile. Trump erwägt Chip-Exporte Richtung China. Doge ist verschwunden. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Intro & 10 Jahre OMR Podcast Party (00:07:17) OpenAI Churn & 3 Monate gratis Retention-Trick (00:09:03) Google Gemini 3 Pro setzt neue Standards (00:17:11) Sam Altman Memo: Rough Times durch Google (00:22:05) Meta will Google TPUs nutzen für Training (00:26:33) YouTube AI-Dubbing (00:30:37) Anthropic Opus 4.5 & Preiswettkampf (00:33:19) Adobe übernimmt SEMrush (00:36:30) Warum Philipp keinen Investmentfonds startet (00:40:27) Trump Genesis Mission & Amazon $50B Government (00:48:07) Meta Stromhandel & systematische Beweisvernichtung (01:04:58) X zeigt Account-Locations: Maga aus Nigeria (01:12:54) Trump erwägt H200-Chips nach China (01:14:46) Doge existiert nicht mehr Shownotes Altman-Memo prognostiziert 'schwierige Zeiten' wegen Google-Renaissance – theinformation.com Alphabet profitiert von Meta-Plänen für AI-Chips; Nvidia fällt – bloomberg.com Google muss KI-Kapazität alle 6 Monate verdoppeln – cnbc.com Claude Opus 4.5 und die Herausforderungen bei der Bewertung neuer LLMs – simonwillison.net Adobe stärkt KI-Marketing-Tools durch Semrush-Kauf für 1,9 Milliarden Dollar – reuters.com Trump kündigt KI-"Genesis-Mission" an: Auswirkungen auf Energiekosten – axios.com AWS kündigt KI-Investition für US-Regierung an – foxbusiness.com Meta plant Energiehandel zur Unterstützung von KI-Rechenzentren – bloomberg.com ChatGPTs neues Shopping-Tool: schnell, unterhaltsam, kostenlos - besser als ich? – zdnet.com Google testet Werbung im AI Mode – linkedin.com Nvidia: Kein Enron, AI-Buchhaltung verteidigt – barrons.com KI-Super-PAC startet $10-Millionen-Kampagne für einheitliche nationale Politik – cnbc.com Meta vergrub Beweise für Schäden durch soziale Medien, so US-Gerichtsdokumente – reuters.com Mark Zuckerberg: Kindersicherheit weniger wichtig als "Metaverse" – futurism.com Top MAGA-Influencer als ausländische Akteure enttarnt – thedailybeast.com Mike Bird X – x.com AFD X – x.com Trumps Team erwägt Verkauf von Nvidia H200 Chips nach China – bloomberg.com Elon Musk: KI macht Arbeit optional, Geld irrelevant – apnews.com DOGE 'existiert nicht' mit acht Monaten verbleibender Laufzeit – reuters.com

Wildest week in AI since December 2024.

Nasdaq bleibt trotz starker Nvidia-Zahlen volatil. Google bringt Gemini 3 Pro als neues Spitzenmodell auf eigenen TPUs und führt mehrere Benchmarks an. Anthropic verdoppelt seine Bewertung binnen drei Monaten; Microsoft und Nvidia investieren Milliarden. Perplexity startet ein kostenloses Shopping-Tool, bleibt aber ohne klares Geschäftsmodell. Nvidia meldet erneut starkes Wachstum und optimistische Guidance. Baidu kämpft trotz KI-Trend mit rückläufigem Umsatz. Klarnas erste Zahlen seit dem IPO enttäuschen. PDD warnt vor Abschwächung, Temu unter Druck durch neue Importregeln. Larry Summers verlässt das OpenAI-Board. Bei Deel taucht ein Bestechungsskandal auf. Grok lobt Elon Musk überschwänglich. Lutnicks Familie profitiert von KI-Deals. Android Quick Share wird mit iOS AirDrop kompatibel. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Intro & Nasdaq Volatilität nach Nvidia Earnings (00:03:19) Google Gemini 3 Pro Launch ohne Nvidia-Chips (00:06:32) Anthropic $350B Deal (00:20:34) Perplexity (00:30:08) Nvidia Earnings (00:38:30) Baidu Earnings (00:40:06) Klarna Earnings (00:47:20) PDD Earnings (00:53:53) Larry Summers tritt nach Epstein-Files zurück (00:57:35) Deel Bestechungsskandal gegen Rippling (01:01:34) Grok (01:06:19) Familie Lutnick (01:09:10) Android Quick Share mit iOS AirDrop kompatibel Shownotes US-Tech-Aktien fallen bei Volatilitätsschub an der Wall Street – ft.com Google bringt Gemini 3 heraus, sein bisher 'intelligentestes' KI-Modell – theverge.com Anthropic kooperiert mit NVIDIA und Microsoft, expandiert auf Azure – linkedin.com Anthropic auf $350 Milliarden geschätzt nach Investition von Microsoft, Nvidia – cnbc.com Perplexity kündigt kostenloses Produkt zur Vereinfachung des Online-Shoppings an – cnbc.com Nvidia-Aktien steigen aufgrund unerwartet starker Umsätze und Prognose – cnbc.com Baidu verzeichnet trotz KI-Boom den größten Umsatzrückgang – bloomberg.com Anmelden bei Similarweb Plattform – pro.similarweb.com Klarna übertrifft Umsatzschätzungen im ersten Quartalsbericht seit IPO – cnbc.com Temu-Eigentümer PDD warnt vor Abschwächung in Chinas Konsumsektor – bloomberg.com Musk's xAI baut 500 Megawatt Rechenzentrum in Saudi-Arabien – bloomberg.com Larry Summers tritt aus OpenAI-Vorstand zurück – axios.com Charles Rollet über X: Deel verbuchte angebliches $6k Bestechungsgeld als Geschäftsausgabe – x.com Groks Verehrung von Elon Musk wird seltsam – theverge.com Familienangelegenheit: Söhne des Handelsministers profitieren vom KI-Boom – nytimes.com Android Quick Share jetzt kompatibel mit iOS AirDrop – blog.google

Gemini 3 is out and it may change the landscape in artificial intelligence. Benchmarks have it performing better than GPT-5 and Google is leaning into its competitive advantages in AI tech. Plus, we talk about the drop in Bitcoin and how Target lost its mojo. Travis Hoium, Rachel Warren, and Jon Quast discuss: - Gemini 3 is out - Anthropic's capital raise - Bitcoin is down, but is it out? - Why Target is falling behind in retail Companies discussed: Alphabet (GOOG, GOOGL), NVIDIA (NVDA), Target (TGT), Bitcoin (BTC), Coinbase (COIN), Circle (CRCL). Host: Travis Hoium Guests: Rachel Warren, Jon Quast Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Tom Rogers, Liz Webb and Lucy Trimnell discuss how the DfE is introducing enrichment benchmarks to push schools to deliver more extracurricular clubs – but research shows that teachers are already working unpaid and out of hours to deliver such activities.

Timestamps: 0:00 i have no idea what i just said 0:20 Windows 11 new Start menu, influencer marketing 1:53 Ryzen 7 9700X3D fake, Ryzen 5 7500X3D real 3:14 YouTube TV, Disney battle 4:07 Odoo!! 5:02 QUICK BITS INTRO! 5:12 SanDisk NAND prices hike 50% 5:48 over 500 legal misuses of AI 6:32 UK investigates possible bus remote shutoff 7:16 Death Stranding exoskeleton NEWS SOURCES: https://lmg.gg/S9CBd Learn more about your ad choices. Visit megaphone.fm/adchoices

Kurzzusammenfassung: In dieser Folge sprechen Michi, Joey und Technikexperte Matthias Krauß ausführlich über Apples neuen M5-Chip. Fünf Jahre nach dem ersten Apple Silicon werfen sie einen Blick zurück auf die Entwicklung seit dem M1 und analysieren, was die neuesten Generationen wie der M5 wirklich leisten. Es geht um Leistungssteigerungen, Optimierungspotenziale, Technik-Philosophie und Apples Strategie. Dabei wird klar: Der M5 ist ein evolutionärer, nicht revolutionärer Schritt – aber einer mit Wirkung. Besonders spannend wird's, wenn es um Benchmarks, Unified Memory, KI-Funktionen und Energieeffizienz geht. Zudem fragen sie sich: Muss überhaupt noch geupgradet werden, oder ist Apple Silicon heute schon „zu gut“?

Those “3x by 40, 6x by 50, 10x by 67” charts feel official—until your life doesn't match the average. In this episode, James shows why age-based savings benchmarks miss the mark and replaces them with a simple, four-step method that fits you.First, get clear on spending in retirement (inflation-adjusted, lifestyle-aware). Then credit guaranteed income, like Social Security, pensions, annuities, part-time work, help to size the real gap. Applying a conservative withdrawal rate to turn that gap into a target portfolio, and back-solve to today with reasonable returns and annual contributions can help you find security. No fluff. Just a plan you can update every year.Real-life cases make it concrete: an early retiree whose “confident” multiple falls short, two teachers whose pensions shrink the target, and a late-career saver who unlocks home equity to close the gap.What you'll learn:Why age-based benchmarks exist—and where they can misleadHow timing (early retirement vs. later) changes the numberThe role of Social Security and pensions in lowering your targetWhen home equity or windfalls can bridge shortfallsThe four-step method: expenses → income → gap → portfolio mathUsing a withdrawal rate (e.g., 4%) to set a clear targetHow to back-solve to today's balance and savings planStress-testing returns, inflation, and timing choicesIf generic multiples leave you anxious or overconfident, this conversation trades guesswork for clarity. Translate goals into numbers, see which levers actually move the needle, and build a plan that funds a life you enjoy.-Advisory services are offered through Root Financial Partners, LLC, an SEC-registered investment adviser. This content is intended for informational and educational purposes only and should not be considered personalized investment, tax, or legal advice. Viewing this content does not create an advisory relationship. We do not provide tax preparation or legal services. Always consult an investment, tax or legal professional regarding your specific situation.The strategies, case studies, and examples discussed may not be suitable for everyone. They are hypothetical and for illustrative and educational purposes only. They do not reflect actual client results and are not guarantees of future performance. All investments involve risk, including the potential loss of principal.Comments reflect the views of individual users and do not necessarily represent the views of Root Financial. They are not verified, may not be accurate, and should not be considered testimonials or endorsementsParticipation in the Retirement Planning Academy or Early Retirement Academy does not create an advisory relationship with Root Financial. These programs are educational in nature and are not a substitute for personalized financial advice. Advisory services are offered only under a written agreement with Root Financial.Create Your Custom Strategy ⬇️ Get Started Here.Join the new Root Collective HERE!

WWP NIGHT w/ the DETROIT RED WINGS (Nov. 15th vs. BUF) TICKETS:  https://www.gofevo.com/event/WingedWheelPodcast11-15 WWP NIGHT w/ the GRAND RAPIDS GRIFFINS TICKETS ON SALE NOW: https://griffinshockey.com/wwp Are the Detroit Red Wings actually "NHL divisonal playoff seed" good, or is this just an early season mirage? Tune in as we start by discussing the wild shootout win for the Red Wings over Todd McLellan and Cam Talbot's former team, the Los Angeles Kings: Marco Kasper's 2 goals (including an almost high-stick off of Sandin-Pellikka's shot), Alex DeBrincat scoring again, the late collapse and called off overtime winner due to Fiala's interference, Cam Talbot's massive stops, and Lucas Raymond's shootout winner (4:15). Also, Patrick Kane's injury, Austin Watson being called up over Nate Danielson, what this means for the Grand Rapids Griffins, and when Steve Yzerman and Todd McLellan may choose to bring Danielson into the fold (19:40). Next, Detroit's loss to McTavish and the Anaheim Ducks as John Gibson revisits his former team: more DeBrincat goal-scoring, Raymond, DeBrincat, and Dylan Larkin syncing up, Moritz Seider's phantom "kicking motion", controversial reviews, & more (23:55). After that, we discuss whether the Detroit Red Wings are truly a good team worthy of an NHL playoff seed, what's different this year as Emmitt Finnie and Patrick Kane continue to solve big problems in their top 6, how they might continue through tougher months, and how insanely close the Atlantic Division and Eastern Conference are (36:10). Finally, NHL news & notes (including the Necas contract & Makar's next deal) (51:15) before we take your questions and comments in our Overtime segment (59:15) - enjoy! Head over to wingedwheelpodcast.com to find all the ways to listen, how to support the show, and so much more! This episode is brought to you by Green Light Lending: gogreenlightlending.com #ad This episode is brought to you by Hims. Visit hims.com/wingedwheel for your personalized hair loss treatment options. #ad Support the Jamie Daniels Foundation through Wings Money on the Board: https://www.wingedwheelpodcast.com/wingsmotb

Oisin O'Connor is the CEO and co-founder of Recharge, the leading subscription management platform powering 75% of all Shopify subscriptions. Under his leadership, Recharge has become a critical infrastructure partner for over 30,000 brands, reaching 100 million subscribers and $100 million ARR.In this episode of DTC Pod, Oisin pulls back the curtain on what it really takes to win with subscriptions in today's DTC landscape. He shares insider strategies for subscriber growth, optimizing retention, and leveraging Recharge's newest AI-powered tools to minimize churn. Oisin also shares specific benchmarks every brand should measure, real-world examples of subscription funnels that convert, and actionable experiments operators can run to unlock long-term profitability and scale.Episode brought to you by StordInteract with other DTC experts and access our monthly fireside chats with industry leaders on DTC Pod Slack.On this episode of DTC Pod, we cover:1. Evolution of subscriptions in physical product e-commerce2. How to spot and create product-market fit 3. Differentiators that set Recharge apart from early competitors4. The compounding power of subscriptions for long-term growth5. Unit economics, LTV vs CAC, and why retention is king6. What best-in-class subscription brands do differently7. Optimizing conversion funnels for subscriber growth8. Subscription benchmarks: churn rates, retention, and second order metrics9. Reducing churn with data, cancellation flows, loyalty, and rewards10. Automations and integrating Recharge with supply chain and 3PL operations11. Leveraging AI Concierge for customer retention and support12. Evolving customer experience and the need for seamless subscription management13. How Recharge guides merchants with data, support, and innovation14. Experiments and mistakes founders make launching subscription brandsTimestamps00:00 Oisin's background, founding story, and early agency experiments04:06 The rise of Shopify and the breakthrough with Recharge05:19 The subscription model: initial skepticism and quirky early adopters06:47 Technical challenges in enabling subscriptions on Shopify09:00 First major subscription brand success story10:15 Compounding growth through subscriptions11:36 Legacy brands and decades-long customer retention13:06 Building DTC businesses with sustainable unit economics14:37 Lessons from TV advertising history and the narrowing of scalable models16:29 Key traits of successful subscription businesses17:09 Product, recurring need, and conversion strategy18:27 Understanding subscriber value and optimizing acquisition19:26 Retention: keeping customers post-acquisition  19:52 High-performing brands and funnel design20:05 Subscription by default, offers, upsells, and cross-sells21:39 Conversion tactics from PDP to post-checkout22:38 Benchmarks for healthy churn and retention23:06 How top brands reduce churn and track performance24:58 Recharge tools: analytics, cancellation flows, Klaviyo integration26:41 Rewards and automations to boost retention27:33 Automate flows for backend fulfillment and logistics28:20 Launching AI SMS concierge for subscriber experience29:40 Reducing customer service friction and delighting shoppers32:15 Customer experience as a core differentiator34:04 The competitive subscription landscape: Recharge's position35:41 Product innovation, support, and actionable guidance37:16 Data-driven product innovation and merchant success38:04 The future of subscription, retention, and platform innovation40:38 Biggest mistakes founders make with subscriptions41:58 Experiments founders should run with Recharge42:58 Where to connect with Oisin for advice and mentorshipShow notes powered by CastmagicPast guests & brands on DTC Pod include Gilt, PopSugar, Glossier, MadeIN, Prose, Bala, P.volve, Ritual, Bite, Oura, Levels, General Mills, Mid Day Squares, Prose, Arrae, Olipop, Ghia, Rosaluna, Form, Uncle Studios & many more.  Additional episodes you might like:• #175 Ariel Vaisbort - How OLIPOP Runs Influencer, Community, & Affiliate Growth• #184 Jake Karls, Midday Squares - Turning Your Brand Into The Influencer With Content• #205 Kasey Stewart: Suckerz- - Powering Your Launch With 300 Million Organic Views• #219 JT Barnett: The TikTok Masterclass For Brands• #223 Lauren Kleinman: The PR & Affiliate Marketing Playbook• ​​​​#243 Kian Golzari - Source & Develop Products Like The World's Best Brands-----Have any questions about the show or topics you'd like us to explore further?Shoot us a DM; we'd love to hear from you.Want the weekly TL;DR of tips delivered to your mailbox?Check out our newsletter here.Projects the DTC Pod team is working on:DTCetc - all our favorite brands on the internetOlivea - the extra virgin olive oil & hydroxytyrosol supplementCastmagic - AI Workspace for ContentFollow us for content, clips, giveaways, & updates!DTCPod InstagramDTCPod TwitterDTCPod TikTokOisin O'Connor - Co-Founder and CEO of RechargeBlaine Bolus - Co-Founder of CastmagicRamon Berrios - Co-Founder of Castmagic

Thanks to our Partner, NAPA Autotech Training and Pico TechnologyWatch Full Video EpisodeMatt riffs on a surprisingly quiet moment from Rocky—the late-night scene where Rocky admits he can't beat Apollo and Adrian simply asks, “What do we do?” From that question, Matt draws a blueprint for technicians and shop owners: set realistic, self-assigned wins and stack them. Instead of living and dying by big, binary outcomes (“fixed/not fixed,” “hit benchmark/missed benchmark”), build momentum with attainable goals that compound into competence, confidence, and better shop results.Big Ideas“What do we do?” beats “You can do it!” Swapping empty hype for practical next steps creates traction.Redefine winning: Rocky doesn't win the fight; he wins by “going the distance.” Translate that to your day: hit achievable targets that move you forward.Stack small, durable improvements: The path to 40+ billed hours or top-quartile shop productivity runs through many smaller, consistent wins.Perfection limits joy: Ambition is good; impossible standards starve you of pride and progress.Benchmarks aren't commandments: Continuous improvement may matter more than someone else's KPI.Practical Takeaways for TechsScope reps, not scope heroics: Use the oscilloscope on easy cars and routine checks—pair voltage with time until it's second nature, then add a second channel and a low-amp probe where it makes sense.Thermal imager habits: Pull it out on brake inspections, wheel-bearing complaints, and on known-good vehicles to calibrate your eye for “normal.”Micro-goals to build hours: If you're billing ~20 hrs/week, aim for 25 (≈+1 hr/day). Then 30. Ask: Where can I reclaim two hours? (economy of motion, fewer tool trips, better setup).Practical Takeaways for Shop Owners/LeadsAim for +10–15% improvements first: If techs are ~60% productive, target 70%, not 100% overnight. Design the system to enable the next step.Design wins into the week: Encourage daily scope/thermal reps, short debriefs, and “wins boards” that recognize process improvements—not just hero fixes.Coach with the Adrian question: When someone says, “I can't hit that,” respond with: “What do we do?” Identify the next two concrete actions.Memorable Lines“We can define our own successes—it doesn't have to be everyone else's.”“Set wins somewhere earlier in the process, not only at the final repair.”“I hope you're proud of yourself—and that you let yourself feel it.”Chapter Guide Cold open & sponsors — NAPA Auto Tech Training, Pico TechnologyWhy Rocky still hits — the “What do we do?” sceneDefining ‘going the distance' at workTech micro-wins — scope reps, thermal habits, pairing voltage & currentShop micro-wins — stepwise productivity goals, system design > pep talksPerfection vs. pride — making room to feel accomplishedThanks to our Partner, NAPA Autotech TrainingNAPA Autotech's team of ASE Master Certified Instructors are conducting over 1,200 classes covering 28 automotive topics. To see a selection, go to

I'm showing you the exact framework I used to go from zero sales to consistent momentum—ultimately passing $550,000 in Etsy revenue. You'll learn the psychological journey every seller goes through, how to pick a tight niche the algorithm actually understands, the cadence for shipping listings without burning out, and the metrics that prove you're on track (including the 1% conversion benchmark). I'll also cover when to layer in marketing (and when not to), which channels compound over time, and the weekly system that keeps growth predictable.   What you'll learn • Mindset map: uninformed optimism → informed pessimism → valley of despair → informed optimism → success • Niche strategy: why focus beats “sell everything” and how the algorithm rewards depth • Listing cadence: a simple weekly target to feed the algo and gather data fast • Momentum signals: traffic → favorites → sales (and how to mine listing stats/keywords) • Benchmarks: the 1% conversion rule and how to interpret it at low volumes • Go deeper: multiplying winners, avoiding shiny-object detours • Marketing timing: when to use coupons, sales, and (later) Etsy Ads without wasting budget • Traffic that compounds: Pinterest, YouTube, and blog vs. short-life social posts • The weekly flywheel: research → create → analyze → refine → expand   #EtsySelling #EtsySEO #EcommerceTips #SideHustle #PrintOnDemand #SmallBusiness #HandmadeBusiness   Grow faster than 99% of Etsy shops

In this episode of Friday Fiduciary Five, Eric Dyson talks about how custom benchmarks in target date funds can potentially create a false sense of success. He cautions that using a custom benchmark as the only benchmark to measure performance does not necessarily reflect strong performance if, for example, the underlying strategy is weak. Citing the CFA Institute and the Department of Labor, he stresses the importance of using independent and multiple benchmarks for accurate evaluation. He encourages plan sponsors and advisors to apply a balanced, transparent approach to investment performance reviews.Connect with Eric Dyson: Website: https://90northllc.com/Phone: 940-248-4800Email: contact@90northllc.com LinkedIn: https://www.linkedin.com/in/401kguy/ The information contained herein is general in nature and is provided solely for educational and informational purposes.It is not intended to provide a specific recommendation of any type of product or service discussed in this presentation or to provide any warranties, financial advice, or legal advice.The specific facts and circumstances of all qualified plans can vary, and the information contained in this podcast may or may not apply to your individual circumstances or to your plan or client plan specific circumstances.

In this special live episode of The Data Minute, recorded in San Francisco, Peter is joined by Janelle Teng from Bessemer Venture Partners for a data-driven look at the state of AI fundraising.Peter and Janelle walk through the data on everything from the AI valuation premium to the new benchmarks for growth, breaking down Bessemer's "Supernovas" and "Shooting Stars" framework. They discuss why fundraising timelines have gotten longer, how dilution remains steady despite soaring valuations, and why San Francisco is still the undisputed center of the AI boom. Plus, they take questions from an audience of AI founders on everything from calculating TAM to navigating a potential AI bubble.This is your front-row seat to the conversation every AI founder needs to hear.The State of AI 2025 - Bessemer Venture Partners:https://www.bvp.com/atlas/the-state-of-ai-2025Subscribe to Carta's weekly Data Minute newsletter: https://carta.com/subscribe/data-newsletter-sign-up/Explore interactive startup and VC data, with Carta's Data Desk: https://carta.com/data-desk/01:03 – A look back: Venture funding since 202102:35 – Pre-ChatGPT vs. Post-ChatGPT funding waves04:18 – How long should your runway be today?04:54 – "Nail it before you scale it": The philosophy of efficient growth06:15 – The new reality of Seed-to-Series-A graduation rates07:31 – Is every software company now an AI company?09:27 – The AI valuation premium at the Seed stage11:14 – AI infrastructure vs. application layer companies13:06 – Bessemer's benchmarks: "Supernovas" vs. "Shooting Stars"14:36 – Why top-line growth can be misleading17:10 – Why retention is table stakes, but gross margins can wait21:12 – The new benchmark: Revenue per employee22:48 – Advice for founders who aren't a "Supernova"26:45 – Why dilution has remained steady at ~20%30:39 – Valuation is not a badge of honor—it's a hurdle33:20 – Why the Bay Area is still the center of the AI universe35:56 – The hiring slowdown and the rise of lean teams38:51 – The soaring cost of AI/ML engineering talent40:00 – Bessemer's key takeaways on the future of AI43:13 – Audience Q&A starts43:33 – Q1: How should founders think about calculating TAM?46:44 – Q2: As a frontier tech company, how do we compete with app-layer startups?48:48 – Q3: How do we compete against incumbents who are adding native AI features?51:31 – Q4: Should VCs back fewer "good" companies to chase the "Supernovas"?55:03 – Q5: Are we in an AI bubble, and when will it pop?This presentation contains general information only and eShares, Inc. dba Carta, Inc. (“Carta”) is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services, and is for informational purposes only.  This presentation is not a substitute for such professional advice or services nor should it be used as a basis for any decision or action that may affect your business or interests. © 2025 eShares, Inc., dba Carta, Inc. All rights reserved.

Are we failing to understand the exponential, again?My guest is Julian Schrittwieser (top AI researcher at Anthropic; previously Google DeepMind on AlphaGo Zero & MuZero). We unpack his viral post (“Failing to Understand the Exponential, again”) and what it looks like when task length doubles every 3–4 months—pointing to AI agents that can work a full day autonomously by 2026 and expert-level breadth by 2027. We talk about the original Move 37 moment and whether today's AI models can spark alien insights in code, math, and science—including Julian's timeline for when AI could produce Nobel-level breakthroughs.We go deep on the recipe of the moment—pre-training + RL—why it took time to combine them, what “RL from scratch” gets right and wrong, and how implicit world models show up in LLM agents. Julian explains the current rewards frontier (human prefs, rubrics, RLVR, process rewards), what we know about compute & scaling for RL, and why most builders should start with tools + prompts before considering RL-as-a-service. We also cover evals & Goodhart's law (e.g., GDP-Val vs real usage), the latest in mechanistic interpretability (think “Golden Gate Claude”), and how safety & alignment actually surface in Anthropic's launch process.Finally, we zoom out: what 10× knowledge-work productivity could unlock across medicine, energy, and materials, how jobs adapt (complementarity over 1-for-1 replacement), and why the near term is likely a smooth ramp—fast, but not a discontinuity.Julian SchrittwieserBlog - https://www.julian.acX/Twitter - https://x.com/mononofuViral post: Failing to understand the exponential, again (9/27/2025)AnthropicWebsite - https://www.anthropic.comX/Twitter - https://x.com/anthropicaiMatt Turck (Managing Director)Blog - https://www.mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturckFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCap(00:00) Cold open — “We're not seeing any slowdown.”(00:32) Intro — who Julian is & what we cover(01:09) The “exponential” from inside frontier labs(04:46) 2026–2027: agents that work a full day; expert-level breadth(08:58) Benchmarks vs reality: long-horizon work, GDP-Val, user value(10:26) Move 37 — what actually happened and why it mattered(13:55) Novel science: AlphaCode/AlphaTensor → when does AI earn a Nobel?(16:25) Discontinuity vs smooth progress (and warning signs)(19:08) Does pre-training + RL get us there? (AGI debates aside)(20:55) Sutton's “RL from scratch”? Julian's take(23:03) Julian's path: Google → DeepMind → Anthropic(26:45) AlphaGo (learn + search) in plain English(30:16) AlphaGo Zero (no human data)(31:00) AlphaZero (one algorithm: Go, chess, shogi)(31:46) MuZero (planning with a learned world model)(33:23) Lessons for today's agents: search + learning at scale(34:57) Do LLMs already have implicit world models?(39:02) Why RL on LLMs took time (stability, feedback loops)(41:43) Compute & scaling for RL — what we see so far(42:35) Rewards frontier: human prefs, rubrics, RLVR, process rewards(44:36) RL training data & the “flywheel” (and why quality matters)(48:02) RL & Agents 101 — why RL unlocks robustness(50:51) Should builders use RL-as-a-service? Or just tools + prompts?(52:18) What's missing for dependable agents (capability vs engineering)(53:51) Evals & Goodhart — internal vs external benchmarks(57:35) Mechanistic interpretability & “Golden Gate Claude”(1:00:03) Safety & alignment at Anthropic — how it shows up in practice(1:03:48) Jobs: human–AI complementarity (comparative advantage)(1:06:33) Inequality, policy, and the case for 10× productivity → abundance(1:09:24) Closing thoughts

This is part three, the final episode, in my three-part salon marketing series, and today it's all about solutions.If you've listened to the first two episodes, you'll know that the biggest problem in most salons isn't attracting new clients, it's keeping them. So in this episode, I'll show you how to identify where your business is leaking clients, how to use your data to pinpoint what (and who) needs improvement, and how to start fixing it.You'll learn the key retention metrics to track, how to interpret them, and how to turn those numbers into action, through training, coaching, and better systems. Because the key to sustainable growth isn't through endless promotions and constantly chasing new clients, it comes from keeping the ones you already have.IN THIS EPISODE:[00:00] Welcome to part three of the salon marketing series[01:00] Recap: what marketing really is and why most salons lose clients[02:00] The Starbucks lesson, “one client at a time”[03:00] Why data is your most powerful marketing tool[03:39] Understanding new vs. existing client retention[05:01] Benchmarks: what your retention rates should look like[06:33] Why individual stylist data matters more than salon averages[07:39] Using data to identify what (and who) needs improvement[08:53] Recap of the three-part marketing framework[12:00] Final message: growth happens one client at a timeWant MORE to help you GROW?Online Salon Marketing course enrolment opening 27th October - Join the waitlist for all the info

Benchmarks, guests and more!

The new Appsflyer 2025 App Marketing Benchmarks report is out — and it's packed with insights every UA manager needs.In this video, Steve P. Young breaks down the key data so you can see exactly how your app compares across CPI, retention, ad-spend trends, and more.You'll learn

In today's episode, we have the pleasure to interview Mike Goldman, author of The Strength of Talent: How to Grow Your People to Grow Your Profit.Mike is a leadership team coach, bestselling author, TEDx speaker, and host of The Better Leadership Team Show. Over his 30+ year career, he's worked with companies like Disney, Verizon, CHANEL, and Polo Ralph Lauren, and his insights have been featured in Forbes, Fast Company, and Chief Executive Magazine. Widely regarded by CEOs as the expert on building great leadership teams, Mike helps leaders grow their business by first growing their people.In this episode, you'll learn why traditional performance management is broken and what to do instead, how to retain and develop your highest performers while avoiding “polished mediocrity,” and how to make people growth your #1 priority in measurable, practical ways.We hope you enjoy this incredible conversation with Mike Goldman.To Learn More about Mike and buy his book visit: The Book: https://a.co/d/51WmuVzWebsite/Socials:https://www.mike-goldman.com/http://instagram.com/mikegoldmancoachhttps://www.facebook.com/mikegoldmancoachhttps://twitter.com/mgoldman10http://www.linkedin.com/in/mgoldman10Chapters: 0:00 Intro1:30 No.1 driver of profit growth is people growth4:44 The problem of unclear expectations8:08 Clear KPIs vs Micro-Management9:02 Examples from big companies13:55 How to retain high performers18:12 Doubling down on high performance21:35 Raising the minimum standards24:00 Everyone can be a superstar somewhere26:59 Benchmarks for people growth30:09 How to get started 32:47 The talent density launchpad34:23 Entrepreneurial Operating System (EOS)36:00 9-Box grid talent management37:45 A movement for people growth41:02 AI, tech & people growth43:58 Where to connect with Mike, his work & his book45:10 A message for leaders________________________________________________Join the world's largest non-fiction Book community!https://www.instagram.com/bookthinkers/The purpose of this podcast is to connect you, the listener, with new books, new mentors, and new resources that will help you achieve more and live better. Each and every episode will feature one of the world's top authors so that you know each and every time you tune-in, there is something valuable to learn. If you have any recommendations for guests, please DM them to us on Instagram. (www.instagram.com/bookthinkers)If you enjoyed this show, please consider leaving a review. It takes less than 60-seconds of your time, and really makes a difference when I am trying to land new guests. For more BookThinkers content, check out our Instagram or our website. Thank you for your time!

Running a successful dental practice in 2025 takes more than production numbers. In this episode of the Thriving Dentist Show, Gary Takacs and Naren Arulrajah share the five essential metrics every dentist should track to build a profitable, patient-focused, and stress-free practice. Learn how to shift from production to profitability, reduce PPO dependence, boost patient loyalty, and keep a high-performing dental team you truly enjoy working with. We'll also cover practical strategies to protect your work-life balance so you can thrive in and out of the office. If you're ready to grow your dental practice, strengthen patient relationships, and achieve lasting financial freedom, this episode is for you.  

We all have slumps but in our lives and in our businesses and Jordan and I are no different. At least once a quarter I am in tears wanting to burn it all down. But, what I keep going back to during hard times is today's topic: facts. Data is what we as business owners should always go back to rather than relying on our feelings. DM me for the tracker I mention in today's episode and I promise the hard times pass.   Time Stamps:   (1:05) Real Time Coaching (6:20) Data Constraints Tracker (12:00) The Benchmarks (16:15) The Decision Tree ----------