Podcasts about Benchmark

If you've ever struggled with making construction schedules truly reliable, this episode is a must-listen. Jason continues his series on the Last Planner System with a deep dive into the 2020 Benchmark, breaking down what's working, what's missing, and where the industry needs to head next. From field engineering as the backbone of quality and safety, to the real meaning of reliable promises, Jason unpacks how detailed task breakdowns, constraint removal, and full-kit readiness set the stage for project success. He also shares insights on: Why lookahead planning is more than just a meeting, it's a commitment to roadblock-free work. How Percent Plan Complete (PPC) can mislead you, and the better metric you should be tracking. Why integration with Takt planning and flow-based work packaging is essential for the next generation of Last Planner. The Benchmark's push for target value delivery, adaptability, and continuous learning. This isn't theory, it's practical, battle-tested insight designed for builders who want to lead with clarity, reliability, and flow. If you're ready to level up your planning game and see how Last Planner ties directly to Takt and real project delivery, hit play now.   If you like the Elevate Construction podcast, please subscribe for free and you'll never miss an episode.  And if you really like the Elevate Construction podcast, I'd appreciate you telling a friend (Maybe even two

When tennis legend Serena Williams announced her 30+ pound weight loss using GLP-1 medication, the internet exploded with opinions. Some celebrated her transparency, others questioned the decision, but most people missed the real conversation entirely. Using a world-class athlete as your litmus test for whether this medication makes sense for your life is honestly fucking crazy—and here's why your context matters more than her endorsement. In this episode we dive into:• Why comparing your health decisions to elite athletes is setting you up for failure• The difference between using expert guidance versus outsourcing your entire decision-making process• How to evaluate ANY tool (GLP-1 included) based on your actual reality, not someone else's highlight reel• The identity shift that makes any approach sustainable long-termThe Context You're Actually Operating In• The trap of thinking "if she needs it, I definitely need it" without considering lifestyle differences• Why Serena's family history of diabetes and joint pain created a legitimate medical case• How her lifetime of peak performance discipline differs from your Tuesday afternoon motivation• The marketing reality behind celebrity endorsements that you can't ignoreWhat Actually Makes Tools Work• Why medication becomes a band-aid without habit and identity changes underneath• The research process that separates thoughtful decisions from social media influence• How to adopt elite-level consistency in your actual daily reality• The questions about long-term sustainability that most people skip entirelyYour Real Benchmark for Success• Why your work schedule, stress levels, and family obligations shape what's realistic for you• The difference between shortcuts and strategic tools in your specific context• How to think critically about any health decision instead of following someone else's blueprint• Why your results have to be yours to actually stickThis conversation reminds us that context is everything when it comes to sustainable change. Whether you're considering GLP-1 medication or any other tool in your health journey, this episode offers the framework to make decisions that actually align with your life instead of someone else's highlight reel.Looking for more on making decisions that fit your reality? Check out Episode 215: "Why You Keep Saying You'll Start Monday (And How to Actually Stop)" where we dive deeper into breaking cycles and building sustainable habits.APPLY FOR 1:1 COACHING WITH THE FITNESS FYX⁠Instagram:⁠@thekrystahuber⁠⁠@thefyx.officialpod⁠⁠@thefitnessfyx⁠

"Die stärkste Liga der Welt." Die Handball-Bundesliga (HBL) gilt international als Benchmark - nicht nur in der Organisation, sondern auch in ihrer Vermarktung. In den vergangenen Jahrzehnten hat sich viel verändert, vor allem seit Corona. Das große Ziel bleibt jedoch gleich: Die klare Nummer 1 hinter dem Fußball werden. Doch ist Dyn dafür der richtige Partner?  Ein Blick auf die Erlösstruktur zeigt: Medienrechte spielen zwar eine wichtige Rolle, entscheidend bleibt aber das Sponsoring (60 Prozent Anteil am Gesamtumsatz). Während sich diese Verteilung kaum verschiebt, wachsen die Dimensionen deutlich: Der Gesamtumsatz betrug zuletzt 250 Millionen Euro (Plus von fast 11 Prozent). Wie konnte die HBL in den letzten Jahren ihren Umsatz nahezu verdreifachen? Wann ist die Umsatzmilliarde realistisch in Reichweite? Und welche Rolle wird KI im Ligabetrieb künftig spielen? Unser Gast Frank Bohmann, HBL-Geschäftsführer Unsere Themen Entwicklung der HBL seit 2003 Draufzahlen beim TV-Vertrag? Damalige Herausforderungen mit DSF Learnings bei der Rechteausschreibung Dyn als Medienpartner Die größten Erlösquellen: Sponsoring, Medienrechte, Merch Archivierungsprobleme: 20.000h auf Videokassetten München bald in der HBL? Ausblick: Umsatzmilliarde Zum Blogartikel: https://sportsmaniac.de/episode509 Unsere Empfehlungen Abonniert unser Weekly Update: https://sportsmaniac.de/wu Unsere Partner (Anzeige) PACE: "Reinventing the Game." Die Spielregeln im Sport werden neu geschrieben. Was Fans von morgen bewegt, warum Frauensport boomt und wie Sport global neu gedacht wird, zeigt das neue Whitepaper The Next Billion Fans von unserem Partner PACE. Jetzt kostenlos downloaden: https://sportsmaniac.de/pace   IST: Als ganzheitlicher Karrierebegleiter veranstaltet die IST-Hochschule am 1. Dezember 2025 ein Talent Recruiting im Rahmen des Kongresses Sport Marke Medien. Im Speed-Dating Format können Talente direkt mit bekannten Unternehmen aus dem Sportbusiness matchen. Alle Infos gibt's hier: https://sportsmaniac.de/talents oder bei Marcel Schumacher: mschumacher@ist.de Unser Kontakt Folge Sports Maniac auf LinkedIn, Twitter und Facebook Folge Daniel Sprügel auf LinkedIn, Twitter und Instagram E-Mail: daniel@sportsmaniac.de Wenn dir gefällt, was du hörst, abonniere uns gerne und empfehle uns weiter. Der Sports Maniac Podcast ist eine Produktion unserer Podcast-Agentur Maniac Studios.

Was verändert sich in einem Depot nach drei Jahren? In meiner neuen Podcastfolge spreche ich mit Hörer Markus über seine Investmentreise: Von Dividendenwachstum bis Value Investing, warum er zweimal zur Berkshire Hathaway-Hauptversammlung gereist ist, welche Fehler im Depot passieren – und wie er sie reflektiert und daraus lernt.Vor drei Jahren war Markus schon einmal bei mir im Podcast – jetzt haben wir uns erneut zusammengesetzt und über seinen Weg als Privatanleger gesprochen.Seit 2022 hat sich sein Portfolio stark verändert: von 22 auf 42 Einzelaktien. Dabei verfolgt er weiterhin eine klare Dividendenstrategie, kombiniert mit dem Anspruch, nachhaltig wachsende Unternehmen auszuwählen. Der Besuch der Berkshire Hathaway Hauptversammlung in Omaha hat seinen Blick auf Value Investing geschärft – Benchmark ist für ihn nicht mehr nur die Marktrendite, sondern auch ein stabiles, risikoärmeres Depot.Wir sprechen in der Folge auch über typische Anlegerfehler: Käufe zum falschen Zeitpunkt, zu geringe Tech-Gewichtung, Depot-Leichen oder die schwere Frage, wann der richtige Zeitpunkt zum Verkaufen ist. Besonders spannend ist Markus' Blick auf aktuelle Themen wie die Pharmabranche, Zölle in den USA, Inflation und die Rolle von Managemententscheidungen in Unternehmen.Sein Ziel ist klar: Ein stetig wachsender Dividendenstrom für die private Altersvorsorge – ohne dabei die langfristige Performance aus den Augen zu verlieren. Viel Spaß beim Hören!ShownotesZum ersten Interview mit MarkusZum Instagram-Profil „Dividendenstrom“ von MarkusZur Buchrezension "Warren Buffett - Der JahrhundertkapitalistTim Schäfer: Manchmal lasse ich auch Luxus zu"Präsentiert von SailyWenn bei Euch in den Sommerferien ein Urlaub ansteht und ihr unterwegs mobiles Internet braucht, schaut unbedingt beim eSIM-Anbieter Saily vorbei. Mit dem Code „finanzrocker“ bekommt ihr sogar 15% Rabatt auf euren ersten Kauf. Der Rabatt wird über den Link schon gleich abgezogen. Hier geht es direkt zum Angebot von Saily Hosted on Acast. See acast.com/privacy for more information.

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Digital Commerce Global recently came out with their 3rd annual deep-dive benchmark study on how brands are managing their retail media strategy (or, not.) The study's author, Gregor Murray, VP of Strategy, Digital Commerce Global, returns to the podcast with all the key results that point towards the urgent opportunities for instituting organizational, financial, and measurement rigor in this critical but complex part of your digital commerce success strategy.

Kia ora,Welcome to Monday's Economy Watch where we follow the economic events and trends that affect Aotearoa/New Zealand.I'm David Chaston and this is the international edition from Interest.co.nz.And today we lead with news Fed boss Powell gave a hint at Jackson Hole that weaker American labour market conditions may trump inflation risks when they next meet in three weeks - and a rate cut is a live possibility.Before that, Thursday NZT, the market darling Nvidia is set to report its results, and any variation from what is expected to be a stellar result, or any slackening of their outlook indications, could very well have ripple impacts on how investors judge their overall current sky-high valuations across the whole equities landscape. It's a huge immediate risk-point.But this coming week, we will be focusing on the New Zealand employment indicators for July to be released later in the week. And later today, the RBNZ will updated it Dashboard to June, so we can see the market winners (and losers) in the banking sector.Across the ditch, all eyes will be on July's monthly CPI data to be released on Wednesday.China will be releasing its August PMIs this week. India will updated its Q2-GDP, and its July industrial production data. And Canada will also have a Q2-GDP update too.But we shouldn't forget that the northern hemisphere has been getting in the last of its summer vacations recently. This is the final week before the US Labor Day national holiday on September 1, 2025, the traditional end of their summer holiday period and when their financial markets build back up to full strength.They will be coming back after digesting the Fed's latest indicators from Powell's Jackson Hole speech. He noted the core US economy has weathered the "sweeping changes in [US] economic policy" well, but now says "the balance of risks appears to be shifting" - to the negative side. Markets have taken this as a hint a rate cut could come as early as their mid September meeting.The US equity markets roared back to post a record high in Friday. The USD fell. Benchmark bond yields retreated.However, in the euphoria of the possibility of a rate cut markets seem to be ignoring this part: "inflation expectations could move up, dragging actual inflation with them. Inflation has been above our target for more than four years and remains a prominent concern for households and businesses". But they are betting on the 'transitory' inflation story again. Inflation embedded for four years, and juiced by tariffs, will be ignored at their peril.Across the border, Canadian retail sales in June were +6.5% higher than a year ago, the best rise since the pandemic recovery period in 2022. But some of this is just higher prices flowing through from their tariff dispute with the US, and a small correction dip is expected in the July data. And the Canadians are not ignoring the inflation risks of tariffs. To keep a lid on these inflationary effects of that dispute, Canada said it will roll back some of its retaliatory tariffs on the US. The US isn't doing the same, so their consumers will still pay the extra on imports.Across the Pacific, China reported more ugly foreign direct investment data over the weekend. While it didn't actually shrink like it did in April and June, it is running -13.4% below year ago levels, and it is still less than half the July ytd levels of 2022 or 2023, and down -7.3% from last year. The June to July gain this year, while welcome, isn't anything more than a statistical blip in the context of the fall away over the last four years.So it is no surprise that Beijing is reorienting to a focus on internal consumption - something they have a chance of still controlling. The international trade environment isn't moving in their favour and even where they do still get gains, they are not enough to move their needle.There was a surprising dip in Japanese inflation in July. It eased to 3.1% from 3.3% in the previous month, the lowest reading since November 2024. Helping was that electricity prices fell for the first time since April 2024. But food prices jumped +7.6%, the most since February. Again, rice was the big culprit.New data out from the Australian statistics bureau shows their R&D investment grew by +18% to AU$24 bln in 2023-24. The strongest growth was in IT including spending on Artificial Intelligence, which grew by +142% since 2021-2022.The UST 10yr yield is now at 4.26%, essentially unchanged from Saturday at this time, down -6 bps for the week.Wall Street roared back in Friday trade with the S&P500 up +1.5% after the Powell hint of a rate cut next month. That means it is able to claim a +0.4% advance for the week which pushed it to a new record high.The price of gold will start today at US$3,370/oz, down -US$1 from Saturday, up +US$36 for the week.American oil prices have held at just under US$64/bbl with the international Brent price now just under US$68/bbl. These levels are more than +US$1 higher than a week agoThe Kiwi dollar is at just on 58.7 USc and unchanged from Saturday at this time. Against the Aussie we also holding at 90.4 AUc. Against the euro we are unchanged too at 50.1 euro cents. That all means our TWI-5 starts today at just under 66.3, little-changed from Saturday but down -60 bps for the week.The bitcoin price starts today at US$114,366 and down -2.2% from this time Saturday. Volatility over the past 24 hours has been very low at just under +/- 0.6%.And finally, in Australia, AML regulator Austrac has directed Binance to appoint an external auditor after identifying serious concerns with the crypto exchange's anti-money laundering and counter terrorism financing controls.You can get more news affecting the economy in New Zealand from interest.co.nz.Kia ora. I'm David Chaston. And we will do this again tomorrow.

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Send us a textAI Pathology & Genomics: A New Benchmark for Predicting Gene MutationsIf you still think visual quantification is “good enough” in pathology, think again. In this 27th episode of DigiPath Digest, I break down four transformative abstracts that show how AI is shifting our diagnostic landscape—from breast cancer segmentation to fibrosis assessment, and all the way to spatial immunology and the evolving immunoscore.If you're still relying on manual scoring, static staging systems, or single-marker immunohistochemistry, this episode will challenge you to look deeper—literally and algorithmically.

In this episode, Travis Maus and Brad Eaton pull back the curtain on one of Wall Street's favorite illusions: the idea that you can—or should—try to beat the market. They dive into why benchmarks like the S&P 500, aren't always what they seem and how the financial industry uses them to sell you a story that might not serve your goals.You'll hear why active management isn't the villain it's made out to be, and how understanding your personal investment objectives is the real key to success. Travis and Brad also tackle the psychological traps investors fall into and why clarity—not complexity—is your best friend when it comes to building wealth.If you've ever wondered whether your portfolio is truly working for you, or if you're just chasing numbers that don't matter, this episode is your wake-up call.

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STWA60N028T, the first STMESH superjunction MOSFET to use a deep trench approach and to be manufactured on a 12-inch wafer. It features a low RDS(on) of 28 mΩ and supports a drain-source voltage (VDS of 600 V).

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Max Junestrand is the Co-Founder and CEO @ Legora, the collaborative AI powering the next generation of lawyers. Now this is an insane story for many reasons; first, Max turned down a multi-million dollar career in gaming to build Legora. Second, he has raised from the best of the best including Benchmark and IVP. Third, he has scaled the firm with 1/6th of the capital of his closest competitor, Harvey have raised a reported $800M while Legora have raised just $120M.  Agenda: 00:03 – From Pro Gamer to AI Founder: How World of Warcraft Shaped Max's Mindset 04:58 – The $5–10M Gaming Career He Walked Away From 07:55 – Are AI Models Plateauing… or Just Getting Started? 10:02 – Swarms of LLMs: The 100x Cost Bet That Could Change Legal Forever 12:00 – Partnering With the Lawyers You're “Killing” 15:00 – How He Cracked Sweden's Hardest-to-Enter Law Firm 21:45 – The $500K Coffee That Saved the Company at YC 30:00 – Closing 15 Term Sheets in 7 Days – Why Benchmark Won 36:00 – Beating a $5BN Rival With a Fraction of the Funding 53:50 – Building a Cult Culture: The 9-9-6 Mentality in Europe  

Tampa Bay Business Journal Real Estate Editor Ashley Kritzer discusses the renaming of Amalie Arena to Benchmark International Arena and shares insights on key commercial real estate and business developments shaping the region.

Benchmark equity indices in the US, Italy, Spain, and the UK have surged to new highs, fuelled by a benign US inflation report and Germany's inflation data confirming a sub-2% reading. US Treasury Secretary Scott Bessent says US interest rates could be 150 to 175 basis points lower. Bitcoin has hit a new all-time high, with Ether also close to its record high. Japanese shares are down on a stronger yen, after previously reaching a record high. Norbert Rücker, Head of Economics and Next Generation Research, weighs in on the energy market outlook: from oil to gas and Friday's US-Russia summit.(00:00) - Introduction: Helen Freer, Product & Investment Content (00:45) - Markets wrap-up: Mike Rauber, Product & Investment Content (07:14) - Update on oil and gas: Norbert Rücker, Head of Economics & Next Generation Research (13:34) - Closing remarks: Helen Freer, Product & Investment Content Would you like to support this show? Please leave us a review and star rating on Apple Podcasts, Spotify or wherever you get your podcasts.

Pat and Aaron take calls and texts on the newly announced Lightning Arena sponsor Benchmark International.

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Benchmark Capital, known for its small team investment model, has experienced the departure of three key general partners since March 2024, including Miles Grimshaw, Sarah Tavel, and Victor Lazarte. The firm has traditionally maintained a partnership of five or six general partners and invested around $500 million per fund, focusing on selectivity over scale. As the venture capital industry shifts with larger funds and new entrants, Benchmark's position as a leading Series A investor faces challenges from both established competitors and emerging firms.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

By David Stephen An indicator of superintelligence, for AI, would be the solution to a major scientific problem. To achieve this, what may be necessary would be scientific data, a new memory architecture, and extensive math models. Already, large language models [LLMs] can answer several scientific questions. But they remain limited in theorizing fundamentals answers. How does AI get there? This can become a trajectory for general intelligence from niche, transcendent intelligence. Take the brain as an example, to explain a mental state, say of an emotion or a feeling, how would AI be able to say something absolutely original and quite accurate? Also, arriving at this capability, how will alignment be maximized to ensure safety against misuse? How close are we to AI Superintelligence? Storage Layering The first step towards a mini-superintelligence, for science, or specifically brain science, is storage. Data will not be stored with the current memory architecture. There will be an absolutely new model for data storage that collects patterns at the store. In mechanistic interpretability, concepts [with relationships] are often adjacent. It will be necessary to have a similar model for memory. This would be like having a hard drive partition for just neurons. Though, the form of storage would be much different because of [say] specifications [with data] solely for neurons. So, everything [established in empirical brain science] about neurons will be a store. Then electrical signals as a store as well, then chemical signals as a store. Another store would be neurons in clusters - nuclei and ganglia. Then electrical and chemical signals as a collection. While there would be different architectural explorations for these storages, the target would be to store data like the human brain. The human brain, it is conceptualized, has thick sets [of electrical and chemical signals]. A thick set collects whatever is common between two or more thin sets. So, door is a thick set representing all doors, so is fence and so forth. There are unique elements that may remain thin sets, but most interpretations use thick sets. It is what makes it easier for the brain to store much more for less space [and energy] than computers. There are rarely repetitions, so access is faster, learning requires new fewer examples and so forth. Therefore, the partitioning or specificity of storage would provide an opportunity to directly mimic human memory. The next step will be to layer those storages. Such that, instead of say sectors on a disk, they are like layers, for patterns to match what is common in the binary data. The objective is to ensure that storage is prepared for intelligence. Not just to have intelligence use repetitive memory, like what is obtainable at present. For example, the text 'door' is stored differently from the image or the video. Also, there are all kinds of videos, image types and so forth. Then there are several information about doors, as well. In the brain, door is a thick set, containing the text, images, videos, physical structure and so forth. In this new memory architecture for computing, whatever is common in the binary segments of door would be collected. So, instead of storing it alone, it is stored together and accessed in that collective form, as layers, so that creativity meshes are probable. For this new memory for superintelligence, after storing specific data and collecting binary commonalities, then layers would be added, so that more binary segments would be collected. The technical details and likelihood of these can be explicated and estimated. However, to really have superintelligence that can be original enough beyond prediction, or basic reasoning, it may not begin with deep learning but with a new storage architecture. Mathematical Models Existing math models in deep learning would accelerate progress further, given new storage layers. Since patterns would already be available from the source, there can be...

Agents in Production [Podcast Limited Series] Episode Nine – Training LLMs, Picking the Right Models, and GPU HeadachesPaul van der Boor and Zulkuf Genc from Prosus join Demetrios to talk about what it really takes to get AI agents running in production. From building solid eval sets to juggling GPU logistics and figuring out which models are worth using (and when), they share hard-won lessons from the front lines. If you're working with LLMs at scale—or thinking about it—this one's for you.Guest speakers:Paul van der Boor - VP AI at Prosus GroupZulkuf Genc - Director of AI at Prosus GroupHost:Demetrios Brinkmann - Founder of MLOps Community~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]

Obvious: ChatGPT's GPT-5 is here and it's really good.Not so obvious: the gap between novice and experts just shrunk 90%. In a short few hours, OpenAI gave even free users access to now the world's most powerful model. As the most used AI chatbot in the world by a wide margin, the quality work we all produce has also just gotten a huge bump. But there's a lot beneath the surface. Join us as we dissect what's new in GPT-5 and 7 big trends you probably don't know but should pay attention to. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GPT-5 Official Release OverviewGPT-5 User Rollout to 700 MillionGPT-5 Unified Hybrid Model ArchitectureAuto Model Switching and User ControlMajor Upgrade for Free ChatGPT UsersGPT-5 Benchmark and Accuracy ImprovementsGPT-5 Vibe Coding and Canvas FeaturesAdvanced Voice Mode in Custom GPTsReduced Hallucinations and SycophancyMicrosoft Copilot Instant GPT-5 UpgradeImpact on Enterprise Software and APIsGPT-5 Disruptive API Pricing StructureTrends in Corporate AI AdoptionTimestamps:00:00 "Everyday AI Insights"05:54 "Adaptive Model Response Modes"08:14 GPT4O Model Critique11:17 GPT4O Nano Upgrade Impact17:26 GPT Model Selection Simplified20:53 Canvas Code Rendering and Quick Answer Feature24:09 "GPT5 Model Routing Overview"26:44 "GPT-5: Your New Daily Driver"30:08 AI Model Advances: Game-Changing Improvements33:43 Advanced Voice Mode in GPTs37:45 Massive Microsoft Copilot Upgrade38:49 Software Access and Licensing Challenges43:09 AI Implementation Challenges in Top Companies46:37 "GPT-5 Testing and Trends"Keywords:GPT-5, GPT5, OpenAI, AI model update, Large Language Model, flagship model, hybrid model, AI technology, model auto-switching, deep thinking mode, fast response mode, model router, free AI access, paid ChatGPT users, ChatGPT free users, model selection, GPT-4O, GPT-4 Turbo, model reasoning, hallucination rate, sycophancy reduction, advanced voice mode, GPTs custom models, Canvas mode, Vibe coding, API pricing, API tokens, Microsoft Copilot, Microsoft 365 Copilot, GitHub Copilot, enterprise AI upgrade, LM arena, ELO score, Anthropic, Claude 4.1, Claude Sonnet, Gemini 2.5 Pro, personalized AI assistant, software innovation, coding capabilities, Inc 5000 companies, enterprise adoption, custom instructions, Pro plan, Plus plan, thinking mode, human preference, automated rSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

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Agenda: 00:00 – The Worst IPO Mis-Pricing Ever: What Really Happened at Figma 02:30 – Fidelity vs Founders: How Important is Fidelity When Going Public 07:00 – Why Founders Secretly Want a Pop, Even If It Makes Them Look Stupid 10:15 – The Truth Behind the $3B Figma "Left on the Table"  14:00 – Direct Listings vs IPOs: Should Figma Have Gone Direct  23:00 – CEO Compensation is Broken, Brian Halligan Doesn't Hold Back 29:00 – The New Normal: Growth Rounds with Elon-Style Moonshot Packages 33:00 – Is Canva Next? Why Founders Should "Run, Forrest, Run" to the NASDAQ 36:00 – The Case for Going Public: VCs Are a Bigger Pain Than Public Markets 44:00 – Can AI Even Work for SMBs? Why No One's Cracked the Code (Yet) 51:00 – Meta's Monster Quarter: Growth, Cash Burn, and the Real AI Strategy 56:00 – CEO of the Year? Why Jensen Huang Leaves Zuck & Satya in the Dust 1:00:00 – Cognition's $15B Deal & Mass Layoffs: The Most Savage M&A Move of 2025 1:07:00 – Ramp's $22B Raise: Genius Move or Suicide Round? 1:09:00 – CRV Shrinks, Benchmark's Bet, and the Future of Venture Strategy

Escucha martes y viernes la opinión de Jorge A. Meléndez.

Escucha martes y viernes la opinión de Jorge A. Meléndez.

Benchmark Financial Group answers ten essential questions that every Federal employee should ask as they prepare for retirement. Learn how to choose the best retirement date, understand your federal pension, optimize annual and sick leave, and navigate the complexities of survivor benefits, TSP withdrawals, Social Security, and federal health insurance options.————Since 1987, Benchmark Financial Group, LLC has been committed to helping clients realize their financial independence, especially at retirement. Benchmark works with federal employees to provide a customized analysis of their federal benefits at a time convenient for the employee. This customized analysis of federal benefits is prepared by Benchmark professionals who hold a ChFEBC designation. This means we are financial professionals who have completed extensive training to learn and understand federal benefits. As a result, Benchmark helps provide many optional answers to the questions that concern federal employees.Follow Benchmark Financial Group:Website: https://bfgkc.com/LinkedIn at / benchmark-financial-group-llc orFacebook at / benchmarkfinancialgroupllc Benchmark is located at 10975 Benson Dr., Suite 500, Overland Park, KS 66210, Corporate Woods Building 12. You can contact Benchmark Financial Group by visiting the website at https://bfgkc.com, calling 913.227.4224, or emailing David at david.raetz@bfgkc.com.Securities and Advisory Services are offered through CreativeOne Securities, LLC. Member FINRA/SIPC and an Investment Advisor. Benchmark Financial Group, LLC, and CreativeOne Securities are not affiliated companies.#benchmarkfinancialgroup #planyourfederalretirement

Agenda: 00:00 - Why Benchmark Is Bleeding Partners (and Why That's the New Normal) 04:57 - “I Wouldn't Leave Benchmark… Unless I Had THIS” — Jason on Brand vs Autonomy 09:01 - The Rise of the Solo GP & The Death of LP Conventional Wisdom 13:50 - The Unstoppable Force of Elad Gil & The Myth of LP Discipline 18:45 - Is Vibe Coding the New SaaS? Jason's $10K/Month Spend Reveal 26:57 - Cursor's Growth Is Insane—But Is It Sustainable? 31:44 - Will Microsoft, Google, or Amazon Win the AI Infra War? 37:42 - Is GitHub Copilot the Biggest Miss in Microsoft's History? 44:15 - Are Big Tech Incumbents Now Too Powerful to Fail? 48:00 - Apple's AI Problem: Is It Time for a Management Overhaul? 52:30 - Figma's IPO: $30B Return, Zero Hype. What Happened? 1:06:00 - Final Bets: Cursor to $4B ARR, Lovable to $400M ARR, OpenAI to $800BN?      

You've added new ARR—but are you spending too much to get it? In episode #302, Ben Murray walks through two practical ways to align your ARR growth with your sales and marketing spend. If you're unsure whether you're underinvesting, overspending, or just inefficient, this episode will help you benchmark your GTM motion using real data and operator-friendly metrics. What You'll Learn Two ways to triangulate S&M spend relative to ARR OpEx profile: Sales & Marketing spend as a % of revenue Cost of ARR: Spend required to acquire $1 of net new ARR Why relying on benchmarks without context (like ACV or price point) can mislead your analysis The difference between investment level and go-to-market efficiency Where to find benchmarks by ACV stage using Benchmarkit.ai (Ray Rike's dataset) Why It Matters Your sales & marketing efficiency plays a critical role in sustainable SaaS growth Proper benchmarks help you avoid overspending—or underinvesting—in growth Helps investors and operators answer: “Is our GTM engine working?” Resources Mentioned Cost of ARR Blog Post + Template: https://www.thesaascfo.com/saas-cac-ratio/ Benchmark data: Benchmarkit.ai Quote from Ben “I love the Cost of ARR—because whether your ACV is $500 or $50,000, it normalizes efficiency across go-to-market models.”

Neste episódio do Canary Cast, Izabel Gallera, sócia do Canary, conversa com Felipe Abramovay, cofundador e CEO da Pilar, empresa que está construindo uma nova infraestrutura para o mercado imobiliário brasileiro com os corretores no centro da estratégia. A Pilar nasceu com uma tese diferente: em vez de competir com os corretores por demanda, decidiu colocá-los no centro da estratégia, oferecendo tecnologia, curadoria e suporte para que eles operem de forma mais eficiente e colaborativa. No episódio, Felipe compartilha sua trajetória de analista de investimentos no Canary até a decisão de fundar sua própria empresa, os aprendizados na transição de investidor para empreendedor e os desafios de escalar um modelo complexo que combina tecnologia, operação e comunidade em um setor tradicional como o imobiliário. Durante a conversa, Bel e Felipe exploram: O papel da confiança, curadoria e cultura para ativar e expandir rede de corretores de alto padrão em São Paulo; O lançamento do Pilar Homes, marketplace B2C da empresa, e os novos desafios desse modelo; A expansão geográfica para outras cidades e os aprendizados ao replicar a operação; Os principais erros e acertos da jornada empreendedora e a importância de construir um modelo próprio de gestão; A visão de futuro para o setor imobiliário, mais distribuído, mais tecnológico e centrado nos profissionais. Ouça agora e descubra como Felipe e todo o time da Pilar estão transformando o mercado imobiliário a partir de uma tese que valoriza o corretor como peça-chave para um ecossistema mais eficiente, tecnológico e que gera valor para todos os atores da cadeia. Convidado:Felipe Abramovay é cofundador e CEO da Pilar, uma startup que está redesenhando o setor imobiliário brasileiro com foco em corretores autônomos, tecnologia e comunidade. Antes de empreender, foi analista de investimentos no Canary. É formado em Administração pela FGV e em Direito pela PUC-SP. Apresentação:Izabel Gallera é sócia do Canary, fundo de venture capital early-stage que investe nos principais empreendedores de tecnologia da América Latina. Desde 2017 no time, Bel acompanha de perto founders desde os primeiros passos da construção de suas empresas até o momento de alta escala. Destaques do episódio:00:01:00 – Introdução e trajetória profissional antes da Pilar00:06:20 – Da ideação à formação da tese: o começo da Pilar00:11:50 – Construção da rede de corretores e evolução do produto com o Pilar Homes00:17:30 – Conquistando a confiança e a demanda dos corretores e os desafios novos na construção do Marketplace B2C00:18:30 – Os corretores como peça central para o modelo de negócio e o desenvolvimento de uma cultura centrada nessa comunidade00:20:00 – Por que a Pilar optou por iniciar as operações no segmento de imóveis de alto padrão00:21:45 – Desafios da expansão do tíquete médio00:22:50 – Sobre tamanho de mercado e diferentes avenidas de expansão. 00:23:50 – Aprendizados da expansão geográfica em Curitiba00:27:10 – Outras possibilidades para Pilar seguir escalando00:29:20 – O mercado competitivo que a Pilar está inserida00:32:00 – Visão de futuro: expansão, novos produtos e impacto no ecossistema00:34:00 – Métricas e a tração da Pilar até aqui00:36:10 – Os maiores erros e acertos da jornada empreendedora00:39:30 – Recomendações de conteúdo e conselhos para quem quer empreenderConteúdos indicados no episódio:Livros "The Secrets of Sand Hill Road" de Scott Kupor Livro essencial para entender como funciona o venture capital no Vale do Silício. Foi o primeiro livro que ele leu ao entrar no Canary e o ajudou a entender o que é uma empresa “venture-backable”. "A República Tecnológica" de Alex Karp (CEO da Palantir) Livro provocativo que aborda o propósito de empreender, o papel da tecnologia na sociedade e reflexões filosóficas sobre o papel das empresas na geopolítica e inovação. Felipe destaca que não é um livro “receita de bolo”, mas sim provocador e valioso. Podcasts Acquired com Ben Gilbert and David Rosenthal Podcast sobre a história de grandes empresas, modelos de negócios e decisões estratégicas. Invest Like the Best com Patrick O’Shaughnessy Episódios com investidores e empreendedores que exploram temas como estratégia, construção de produto e capital allocation. 20VC (The Twenty Minute VC) com Harry Stebbings Podcast clássico no mundo de venture capital, trazendo conversas rápidas com fundadores, investidores e operadores. Newsletters / Outros Term Sheet – da Fortune Newsletter que compila rodadas de investimento e negócios no ecossistema global. Felipe menciona que assina há anos e gosta de acompanhar para ver o que está acontecendo no mundo. Glossário de termos em inglês citados no episódio: Marketplace – Plataforma digital que conecta diferentes agentes (como corretores e compradores) para facilitar transações comerciais. B2B (Business to Business) – Modelo de negócio em que uma empresa vende produtos ou serviços para outra empresa. No contexto da Pilar, refere-se ao marketplace operado entre corretores. B2C (Business to Consumer) – Modelo de negócio em que uma empresa vende diretamente para o consumidor final. Pilar Homes é o braço B2C da Pilar. Supply – Oferta ou fornecimento. No episódio, refere-se aos imóveis ou corretores disponíveis na plataforma. Demand – Demanda. Refere-se à busca de compradores por imóveis na plataforma. Go-to-market – Estratégia de entrada ou expansão de produto em um mercado, incluindo definição de canais, público-alvo e comunicação. MVP (Minimum Viable Product) – Produto mínimo viável. Versão inicial de um produto com funcionalidades básicas para validar sua proposta com usuários reais. Pipeline – Fluxo ou funil de oportunidades. No episódio, usado no contexto de análise de investimentos no Canary. Track record – Histórico de desempenho. No caso da Pilar, usado para avaliar a reputação e experiência dos corretores que entram na rede. Bypass – Prática de desintermediação, quando um corretor tenta fechar uma transação diretamente, burlando a rede. Asset-light – Modelo de negócios com baixa dependência de ativos físicos. Break-even – Ponto de equilíbrio financeiro de uma operação. Benchmark – Referência de mercado ou padrão de comparação. Search fund – Veículo de investimento criado por empreendedores para buscar, adquirir e operar uma empresa já existente. Cold reach (Cold InMail) – Abordagem fria a contatos no LinkedIn ou e-mail, sem relação prévia. Founder – Fundador de uma startup ou empresa. Funding – Captação de investimento. Venture-backable – Termo usado para descrever empresas com perfil atrativo para receber investimentos de venture capital. Playbook – Conjunto de boas práticas, estratégias e processos operacionais documentados. Roadmap – Plano de execução e evolução do produto ou da empresa ao longo do tempo. See omnystudio.com/listener for privacy information.

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My guest today is Ramtin Naimi. Ramtin is the founder of Abstract Ventures, one of the most talked-about seed funds in Silicon Valley. What makes Ramtin's story so compelling isn't just his firm's remarkable track record—including early investments in Rippling, Solana, and dozens of unicorns—but also the unconventional path he took to get there. From running a hedge fund straight out of high school to filing for bankruptcy at 24, then bootstrapping his way to building a $2 billion AUM venture firm using AngelList and relentless hustle. Our conversation begins in an unexpected place—the art world—where Ramtin has become a sophisticated collector, learning from mentors like Michael Ovitz about market dynamics that surprisingly mirror venture capital. We dive deep into how the art world actually works, and Ramtin explains how these lessons about "masterpieces" apply directly to identifying power-law companies in venture. We go deep on his approach to early-stage investing and how he built Abstract as a co-investment vehicle alongside firms like Sequoia, Benchmark, and Andreessen Horowitz. We explore his portfolio construction model, his philosophy on dilution-sensitive founders, and why he takes upwards of 30 pitch meetings per week to build his "frame of reference." We discuss why Abstract has the highest graduation rate from seed to Series A among all seed funds, and how this competitive advantage compounds over time. This is his first time telling his story, and we discuss the power of pattern recognition, relentless work ethic, and the unique opportunities available to those willing to start from scratch in Silicon Valley. Please enjoy this great conversation with Ramtin Naimi. Colossus Review Profile: Ramtin Naimi For the full show notes, transcript, and links to mentioned content, check out the episode page⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠here⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp.com/invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to sign up for free and get a $250 welcome bonus. – This episode is brought to you by⁠⁠⁠⁠⁠⁠ AlphaSense⁠⁠⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ridgelineapps.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about the platform. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:40) Learning from Mentors and Starting to Collect (00:08:50) Parallels Between Art and Venture Capital (00:12:57) Challenges in Art Collecting (00:20:45) The Role of Status in the Art World (00:25:00) Who Makes the Most Money in the Art World? (00:28:19) Abstract Ventures: Early Stage Investing (00:42:34) Starting a Venture Capital Firm from Scratch (00:43:12) Overcoming Bankruptcy and Early Struggles (00:50:34) Evaluating Technical Capabilities and Momentum (01:02:53) Competing for Deals and Building Relationships (01:15:25) The Role of Brand in Venture Capital (01:22:39) Early Life and Entrepreneurial Beginnings (01:28:40) Starting a Hedge Fund and Learning Hard Lessons (01:31:26) Transition to Venture Capital (01:37:19) Building Abstract and Family Life (01:52:03) The Kindest Thing Anyone Has Done For Ramtin

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Escucha martes y viernes la opinión de Jorge Meléndez Ruiz.

Connect with Datarails CRO Aviv Canaani on LinkedIn THE PREPARED SELLING COURSE | A free 29-minute course that shows Account Executives how top performers prepare for demos, discovery, and referrals — and win more deals, faster. GET FREE ACCESS The Elite Sales Professional Assessment: Answer 15 Questions to Benchmark your ability to sell vs elite sales professionals. GET YOUR SALES BENCHMARK HERE Summary In this conversation, Aviv Canaani, the CRO of DataRails, shares insights on building a successful go-to-market strategy focused on driving inbound leads, optimizing sales processes, and fostering a high-performing sales team. He emphasizes the importance of metrics, conversion rates, and a structured sales methodology to ensure predictable revenue. Aviv also discusses the significance of team motivation, effective hiring practices, and the role of preparation in achieving sales success. Takeaways Creating a go-to-market machine is essential for driving inbound leads. Metrics like meeting to close one are crucial for evaluating sales performance. A structured sales methodology helps in scaling the sales process effectively. Speed to lead is critical in converting prospects into customers. Trust and collaboration within the sales team enhance overall performance. Promoting from within and recognizing top performers fosters a motivated sales team. Evaluating sales talent through simulations can reveal true capabilities. Forecasting sales requires a mix of historical data and current pipeline insights. Preparation for sales calls is vital for success and should be prioritized. CROs must focus on building a predictable revenue model to satisfy stakeholders.

At Training Camp on Tuesday, Pete Carroll made a bold proclamation that fired up his team. Join #LasVegasRaiders Beat Writer @HondoCarpenter for all this and more on the latest edition of Ridin' w/the Carpenters on PFI, Pro Football Insiders. #Raiders #RaidersNation #NFL Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to the Water Quality Association Podcast. WQA is the leading voice of the residential, commercial and industrial water treatment industry. Find us at https://wqa.org. This episode is sponsored by Corro-Protec powered anode rods for water heaters. With a 20-year warranty, Corro-Protec eliminates sulfur smell in hot water within 24 hours and prevents tank corrosion without any maintenance. A must-have for homes with softened water. Enjoy hassle-free hot water with Corro-Protec! Visit https://corroprotec.com/wqa/ to learn more. In this episode, we'll dive into the world of business insights with the WQA Business Operations Report. This powerful tool is transforming how water quality dealers understand and enhance their business performance. We'll talk with Ryan Shanahan from Sharpwater Culligan and WQA's Bryanna Poczatek, who manages the program. Compare your business with others for things like revenue and expenses, operations and sales as well as employee beneifts. Whether you're a seasoned dealer or new to the industry, this episode is packed with valuable information. Plus, we'll have our WQA Tip. You can watch the full episode on YouTube here: https://youtu.be/pWoEVenOyRs

Sherwood Callaway, tech lead at 11X, joins us to talk about building digital workers—specifically Alice (an AI sales rep) and Julian (a voice agent)—that are shaking up sales outreach by automating complex, messy tasks.He looks back on his YC days at OpKit, where he first got his hands dirty with voice AI, and compares the wild ride of building voice vs. text agents. We get into the use of Langgraph Cloud, integrating observability tools like Langsmith and Arize, and keeping hallucinations in check with regular Evals.Sherwood and Demetrios wrap up with a look ahead: will today's sprawling AI agent stacks eventually simplify? // BioSherwood Callaway is an emerging leader in the world of AI startups and AI product development. He currently serves as the first engineering manager at 11x, a series B AI startup backed by Benchmark and Andreessen Horowitz, where he oversees technical work on "Alice", an AI sales rep that outperforms top human SDRs.Alice is an advanced agentic AI working in production and at scale. Under Sherwood's leadership, the system grew from initial prototype to handling over 1 million prospect interactions per month across 300+ customers, leveraging partnerships with OpenAI, Anthropic, and LangChain while maintaining consistent performance and reliability. Alice is now generating eight figures in ARR.Sherwood joined 11x in 2024 through the acquisition of his YC-backed startup, Opkit, where he built and commercialized one of the first-ever AI phone calling solutions for a specific industry vertical (healthcare). Prior to Opkit, he was the second infrastructure engineer at Brex, where he designed, built, and scaled the production infrastructure that supported Brex's application and engineering org through hypergrowth. He currently lives in San Francisco, CA.// Related Links~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Sherwood on LinkedIn: /sherwoodcallaway/ #aiengineering Timestamps:[00:00] AI Takes Over Health Calls[05:05] What Can Agents Really Do?[08:25] Who's in Charge—User or Agent?[11:20] Why Graphs Matter in Agents[15:03] How Complex Should Agents Be?[18:33] The Hidden Cost of Model Upgrades[21:57] Inside the LLM Agent Loop[25:08] Turning Agents into APIs[29:06] Scaling Agents Without Meltdowns[30:04] The Monorepo Tangle, Explained[34:01] Building Agents the Open Source Way[38:49] What Production-Ready Agents Look Like[41:23] AI That Fixes Code on Its Own[43:26] Tracking Agent Behavior with OpenTelemetry[46:43] Running Agents Locally with Phoenix[52:55] LangGraph Meets Arise for Agent Control[53:29] Hunting Hallucinations in Agent Traces[56:45] Off-Script Insights Worth Hearing

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Steven Forth is the Co-founder and Chief Value Officer at Ibbaka, a leading value and pricing consulting firm. With deep expertise in AI applications for pricing and value modeling, Steven is at the forefront of developing intelligent agents that help businesses understand and communicate value more effectively. His work focuses on the intersection of artificial intelligence, pricing strategy, and value creation, making him a pioneer in applying AI to solve complex pricing challenges. In this episode, Steven shares his insights on how benchmarking is revolutionizing both AI development and pricing strategy. Drawing parallels between how AI models are improved through benchmarking and how pricing models should be evaluated, he introduces a framework for measuring pricing effectiveness that could transform how we approach pricing decisions. Together with Mark, they explore the challenges of establishing "truth" in pricing, the role of synthetic data, and the future of AI-powered pricing tools.   Why you have to check out today's podcast: Discover how AI benchmarking principles can revolutionize pricing model evaluation. Understand how to evaluate pricing models from both buyer and seller perspectives. Explore the future of AI-powered pricing tools and what it means for pricing professionals.   "We don't start with the truth. We have to work our way towards truth through multiple iterations and applications." – Steven Forth   Topics Covered: 02:15 – How Intercom's FinAI agent uses daily benchmarking to improve ticket resolution performance 05:30 – Why AI's success is built on benchmarking and how it emerged from the ImageNet competition 08:45 – The critical problem: pricing lacks standardized benchmarking like AI models have 11:20 – Michael Mansard's 12-factor pricing model assessment and its potential as an industry standard 14:10 – Why pricing models must be evaluated from both buyer and seller perspectives 17:25 – How market segmentation and use cases complicate pricing model benchmarking 20:40 – The role of synthetic data in pricing research and model validation 24:15 – Why "vibe coding" could disrupt traditional pricing consulting within 3 years 27:30 – The search for truth in pricing: hedonic pricing models and market assumptions 31:45 – Introduction to ValueIQ: Ibbaka's new AI agent for value-based selling   Key Takeaways: "Anyone who says that they're data centric or data driven is actually before that they have to be model driven because they're using some form of model to organize the data." – Steven Forth "We should have done this 20 years ago. What were we thinking? Well, we weren't thinking. And we didn't have ways to do this for us anyway." – Steven Forth (on developing pricing benchmarks) "Benchmarking every day, I think, is going to be critical to the success of agents that do important business things." – Steven Forth "You can always improve your measurement, but at some point the return of improving the measurement is lower than the cost of increasing the validity of the measurement." – Steven Forth   Resources and People Mentioned: Douglas Hubbard's How to Measure Anything (book): https://www.amazon.com/How-Measure-Anything-Intangibles-Business/dp/1118539273  ImageNet: https://image-net.org/  Michael Mansard's 12-Factor Pricing Model: https://www.insead.edu/bio/michael-mansard-0  Intercom's FinAI: https://www.intercom.com/help/en/articles/8205718-fin-ai-agent-resolutions  Lovable, Replit, Bolt: https://linkblink.medium.com/bolt-vs-cursor-vs-replit-vs-lovable-ai-coders-comparison-guide-3b9d41e75810  ValueIQ: https://www.ibbaka.com/ibbaka-market-blog/get-ready-for-valueiq-sign-up-now-for-beta-access    Connect with Steven Forth: LinkedIn: https://www.linkedin.com/in/stevenforth/  Email: steven@ibbaka.com   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com  

Escucha martes y viernes la opinión de Jorge A. Meléndez.

Bob and Brad step into a glass case of emotion for this week's review of Anchorman: The Legend of Ron Burgundy, the 2004 absurdist comedy that made Will Ferrell a household name. Does it hold up 20 years later? Then, the guys shift gears from Baxter and jazz flute to the whiskey of the week: Benchmark Old No. 8, a bottom-shelf bourbon that surprises in more ways than one. Can a budget bottle deliver real flavor, or is it destined for mixing duty only?It's a week full of polyester suits, ego-fueled newscasts, and a bourbon that costs less than your movie ticket.Stay classy, listeners.(0:00) Intro(06:37) Brad Explains(10:30) Performances, Themes(25:58) Benchmark bourbon review(37:53) Two Facts and a Falsehood(43:02) Final Analysis(52:16) Let's Make it a Double and Final ScoresFilm & Whiskey ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Film & Whiskey ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Film & Whiskey ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email us⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our Discord server!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠For more episodes and engaging content, visit Film & Whiskey's website at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.filmwhiskey.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Escucha martes y viernes la opinión de Jorge A. Meléndez.

Our 216th episode with a summary and discussion of last week's big AI news! Recorded on 07/11/2025 Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. In this episode: xAI launches Grok 4 with breakthrough performance across benchmarks, becoming the first true frontier model outside established labs, alongside a $300/month subscription tier Grok's alignment challenges emerge with antisemitic responses, highlighting the difficulty of steering models toward "truth-seeking" without harmful biases Perplexity and OpenAI launch AI-powered browsers to compete with Google Chrome, signaling a major shift in how users interact with AI systems Meta study reveals AI tools actually slow down experienced developers by 20% on complex tasks, contradicting expectations and anecdotal reports of productivity gains Timestamps + Links: (00:00:10) Intro / Banter (00:01:02) News Preview       Tools & Apps (00:01:59) Elon Musk's xAI launches Grok 4 alongside a $300 monthly subscription | TechCrunch (00:15:28) Elon Musk's AI chatbot is suddenly posting antisemitic tropes (00:29:52) Perplexity launches Comet, an AI-powered web browser | TechCrunch (00:32:54) OpenAI is reportedly releasing an AI browser in the coming weeks | TechCrunch (00:33:27) Replit Launches New Feature for its Agent, CEO Calls it ‘Deep Research for Coding' (00:34:40) Cursor launches a web app to manage AI coding agents (00:36:07) Cursor apologizes for unclear pricing changes that upset users | TechCrunch       Applications & Business (00:39:10) Lovable on track to raise $150M at $2B valuation (00:41:11) Amazon built a massive AI supercluster for Anthropic called Project Rainier – here's what we know so far (00:46:35) Elon Musk confirms xAI is buying an overseas power plant and shipping the whole thing to the U.S. to power its new data center — 1 million AI GPUs and up to 2 Gigawatts of power under one roof, equivalent to powering 1.9 million homes (00:48:16) Microsoft's own AI chip delayed six months in major setback — in-house chip now reportedly expected in 2026, but won't hold a candle to Nvidia Blackwell (00:49:54) Ilya Sutskever becomes CEO of Safe Superintelligence after Meta poached Daniel Gross (00:52:46) OpenAI's Stock Compensation Reflect Steep Costs of Talent Wars       Projects & Open Source (00:58:04) Hugging Face Releases SmolLM3: A 3B Long-Context, Multilingual Reasoning Model - MarkTechPost (00:58:33) Kimi K2: Open Agentic Intelligence (00:58:59) Kyutai Releases 2B Parameter Streaming Text-to-Speech TTS with 220ms Latency and 2.5M Hours of Training       Research & Advancements (01:02:14) Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning (01:07:58) Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity (01:13:03) Mitigating Goal Misgeneralization with Minimax Regret (01:17:01) Correlated Errors in Large Language Models (01:20:31) What skills does SWE-bench Verified evaluate?       Policy & Safety (01:22:53) Evaluating Frontier Models for Stealth and Situational Awareness (01:25:49) When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors (01:30:09) Why Do Some Language Models Fake Alignment While Others Don't? (01:34:35) Positive review only': Researchers hide AI prompts in papers (01:35:40) Google faces EU antitrust complaint over AI Overviews (01:36:41) The transfer of user data by DeepSeek to China is unlawful': Germany calls for Google and Apple to remove the AI app from their stores (01:37:30) Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark

In this episode of the Roofing Technology Think Tank (RT3) podcast, Karen Edwards welcomes Ben Fiedler from Benchmark to explore the intriguing intersection of Agile methodology and the roofing industry. Discover how Agile principles, traditionally used in software development, are being adapted to enhance efficiency and innovation in roofing projects. Ben shares his unique journey from broadcast television engineering to roofing consultancy, and how Agile practices like Scrum are transforming project management. Tune in to learn how contractors can adopt an Agile mindset to stay ahead in a rapidly changing market. Learn more at: https://rt3thinktank.com/

全球最聰明的 AI 誕生了，而且它不是 GPT。xAI 推出的 Grok 4，在最新的 AI 大魔王考試裡，不只全場最高分，甚至學會了怎麼自己叫工具、自己算數學、還自己訂貨賣東西，靠經營虛擬販賣機賺了 4694 美金，撐了 324 天不崩潰。它的祕密武器叫做——巨量強化學習。這集我們就來聊聊：

This podcast explores the pluses and minuses of benchmark reading testing, including considerations of test frequency, time of day the tests are administered and who proctors the tests.

You think you know Fireball? Think again. In this episode, Rob and Mark crack open a bottle of Fireball Blazin' Apple, a cinnamon-apple flavor bomb not even released to the public yet, and explore its sugary punch, the genius of its marketing, and why this might be the tailgate hit of the season. But first, they take a deep dive into the real story of Johnny Appleseed, frontier philosopher, land hustler, and the unexpected grandfather of American booze culture. Throw in a prank cricket, some Benchmark whiskey for courage, and a few questionable flavor pairings, and you've got one wild episode of Whiskey@Work. Hosted on Acast. See acast.com/privacy for more information.

 In 2024 the Lithium market saw huge price drops related to oversupply, a slowing EV adoption rate globally, as well as macroeconomic headwinds. Is this a pause or a more structural challenge? What is the long-term demand picture? How does geopolitics fit within that? Does technological change threaten the outlook? And in such a volatile market, why is risk management essential? Our guest is Caspar Rawles, Chief Operating Officer at Benchmark, the Independent Price Reporting Agency for Critical Minerals, including Lithium,  which will soon be launching three Lithium futures contracts with the Intercontinental Exchange, ICE. What are those contracts and what do they mean for the sector?