Podcasts about usage

In this episode of On The Bench, Chris Nee, Kolby Crawford, and John Evans break down Florida State's season-opening win over New Mexico State. The Seminoles defeated the Aggies, 34-17, on Saturday night at Doak Campbell Stadium. Some of FSU's strengths were validated, while some question marks became more concerning.Our trio of analysts provide breakdowns of the offense and defense, one big question moving forward, and a recruiting update from week zero.You can subscribe to On The Bench, X's and Noles, and Beyond The Bench on Apple Podcasts, Google Podcasts and Spotify. As always, five-star reviews and comments on Apple Podcasts are appreciated!Also, you can watch the show on YouTube now. We'll do live streams as well, and you can get notifications on when we're live by subscribing to our YouTube channel.(0:00) - FSU Beats New Mexico State 34-17(1:10) - Initial Takeaways From Florida State's Win(12:56) - Ashton Daniels & FSU's Offense(20:19) - Running Backs Shine & Duce Robinson's Usage(22:45) - Breaking Down the Tight Ends(31:43) - Florida State's Offensive Line(37:30) - What's the Path Forward for the Offense?(39:38) - FSU's Secondary Struggles(45:38) - Defensive Line & Pass Rush Concerns(52:01) - Linebackers Provide a Bright Spot(56:43) - Special Teams Breakdown(57:52) - Biggest Concerns Moving Forward(59:48) - Football Recruiting Update(1:03:03) - Basketball Recruiting Update

In this episode of Business Brain, we open with a management tip that could be costing you right now: tell your staff to use as much AI as they need. You’ll hear why employees quietly ration their own usage out of misplaced budget-consciousness, why a-la-carte tokens still beat leveling up plans you don’t need, and how a quick conversation about limits can surface whether someone’s underusing a tool that could transform their work. Teach your team never to assume a tool is too expensive without asking you first. Then we tackle the AI watermarking debate, sparked by an EU mandate and the first company to publicly embrace it. You’ll learn how text watermarking actually works through word choice rather than hidden characters, why it isn’t deterministic, and what happens when you run watermarked output through another model. We spar over regulatory capture, the AI triopoly, and whether “doing it right” is the brand or the reality, then point you to the tools people are already building to strip marks out. It’s a lively, skeptical look at where this is all heading, all in the spirit of the charmed life. 00:00:00 Business Brain – The Entrepreneurs' Podcast #783 for Casual FridAI, August 28th, 2026 August 28th: National Bow Tie Day 00:01:37 Tell your staff to use as much AI as they need Loop Engineering 101 00:07:54 SPONSOR: Hims. With Wegovy® at Hims, lose up to 20% of your body weight when combined with diet and exercise. Visit https://hims.com/businessbrain to get a personalized, affordable plan that gets you. 00:09:29 SPONSOR: SomniPods 3 sleep earbuds from Fitnexa: Flat enough to sleep on, and the app is the real prize: https://go.fitnexa.com/brain automatically applies $10 off (or use code BRAIN). 00:11:02 Watermarking on other models 00:17:59 How Watermarking Works 00:20:55 Watermarks-Remover Script 00:23:41 Business Brain 783 Outtro This Episode's Big Takeway: Teach your staff not to assume that any tool is too expensive Check out Business Brain Blueprints Tell Your Friends! Business Blueprints Review Business Brain Subscribe to the show feedback@businessbrain.show Call/Text: (567) 274-6977 X/Twitter: @ShannonJean & @DaveHamilton, & @BizBrainShow LinkedIn: Shannon Jean, Dave Hamilton, & Business Brain Facebook: Dave Hamilton, Shannon Jean, & Business Brain The post FridAI – AI Usage and Watermarking – Business Brain 783 appeared first on Business Brain - The Entrepreneurs' Podcast.

durée : 00:51:41 - Répliques - par : Alain Finkielkraut - Révolution technologique majeure, progrès décisif ou menace pour l'humanité ? Entre bouleversement du travail, transformations de l'éducation et inquiétudes écologiques et sociales, l'intelligence artificielle ouvre un débat vertigineux : peut-on en faire un bon usage ? - équipe : Roxanne Natta, François Caunac Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

Amazon limiting written reviews for customers to read, Helium 10 MCP hackathon contest with big prizes, and new Helium 10 ChatGPT plugin. We're back with another episode of the Weekly Buzz with Helium 10's Manager of Education and Strategy, Carrie Miller. Every week, we cover the latest breaking news in the Amazon, TikTok Shop, Walmart, and E-commerce space, talk about Helium 10's newest features, and provide a training tip for the week for serious sellers of any level.   Amazon Limits How Many Reviews Shoppers Can Read https://www.ecommercebytes.com/2026/08/16/amazon-limits-how-many-reviews-shoppers-can-read/ Helium 10 Hackathon Helium 10 is launching an MCP and Prompt Hackathon where sellers can submit their best Claude skill, prompt, or both for a chance to win prizes worth up to $4,500. Submissions should demonstrate creative ways to use Helium 10 data to save time or money, improve efficiency, increase sales, or accomplish things that weren't possible before MCP. Finalists may present their creations during a live webinar on September 3 at 8 a.m. Pacific, giving sellers a chance to learn from each other and discover new ways to use MCP. Prizes include up to a full year of Helium 10 Diamond plus Amazon gift cards. **Submit your skill or prompt by the September 1 deadline at http://h10.me/hackathon.** Trade Court Upholds the End of De Minimis: What the “Detroit Axle” Ruling Means for Ecommerce https://www.ecomm-alliance.org/blog/trade-court-upholds-the-end-of-de-minimis/ New Helium 10 ChatGPT Plugin Helium 10 has launched its new ChatGPT plugin, giving Diamond plan members and above direct access to the full Helium 10 MCP experience inside ChatGPT. Once installed and connected, users can tap into 70 different tools covering keyword and product research, competitor analysis, listing optimization, historical rank, search volume, pricing, sales velocity, P&L, advertising, inventory, and more—without downloading and uploading reports. By pulling directly from actual Helium 10 and Amazon data, the integration also helps reduce AI hallucinations and makes analyzing seller data faster and easier. Usage counts toward the same combined 1,000 MCP call limit per billing cycle. Amazon Solution Provider Services: New Seller Central Authorisation Process Starting 8/10/2026 https://ecomranker.com/amazon-seller-central-authorisation-process-2026/ Harvest SQP Keywords with AI Bradley introduces the new Search Query Performance Outperformer Skill for the Helium 10 MCP, designed to uncover high-opportunity keywords by analyzing a full year of SQP data and identifying terms where your product converts better than the market. The skill cross-checks Keyword Tracker, Cerebro, and Helium 10 Ads to find outperforming keywords you aren't tracking, keywords with weak organic or sponsored visibility, and advertising opportunities where you should add a target or increase your bid. What could take an hour of manually downloading and comparing reports can be completed in about a minute, and with the new Helium 10 Ads write capabilities available to Elite members and coming soon to Diamond, the MCP can even implement keyword and bid changes for you. To get the skill, comment “I need the SQP Outperformer Skill” below and we'll send you the download link. New AI Agent For Amazon Keyword Research Helium 10 has launched Helium, its new built-in AI agent, in beta for Diamond members and above. Think of it as having an AI assistant like ChatGPT or Claude directly inside Helium 10, without needing an outside subscription or using external AI tokens. Because Helium connects directly to Helium 10 data, it can quickly run analyses across tools like Cerebro, Search Query Performance, Keyword Tracker, and Helium 10 Ads, helping identify keyword gaps, analyze sales and conversion performance, compare listings with competitors, audit advertising, and more. Helium is also being built with Helium 10-specific knowledge, allowing it to proactively surface insights and opportunities beyond what you explicitly ask. Future capabilities are expected to include custom dashboards, scheduled tasks, and more advanced workflows. Diamond and Elite members can find “Ask Helium” inside Helium 10 and start testing the beta now. Amazon Prime Air drone delivery is expanding to nearly 500 US cities and towns this year https://www.aboutamazon.com/news/transportation/amazon-prime-air-drone-delivery-expansion That's a wrap for this week's Weekly Buzz! We hope you found these updates helpful and are ready to put them into action. Be sure to check back next week for the latest Amazon, e-commerce, and Helium 10 news. Until then, we'll see you next week to find out what's buzzing! In episode 547 of the AM/PM Podcast and Weekly Buzz, Carrie talks about: 00:00 - Introduction 00:44 - Amazon Limiting Reviews? 02:31 - Helium 10 Hackathon 05:45 - Trade Court Upholds De Minimis Ruling 07:31 - New ChatGPT Amazon Plugin 09:54 - New Authorization Process for Service Providers 10:58 - Harvest SQP Keywords with AI 14:56 - New AI Agent For Amazon Keyword Research 20:27 - Amazon's Prime Air Drone Delivery

Chad and Jordan react to week 1 of the preseason, the usage of Oronde Gadsden, and Jordyn Tyson's injury.Plus dynasty trades involving Tyson and Jonathon Brooks.Plus hours of premium content this month!  You can get all the DTT Patreon content for $10 a month at patreon.com/DynastyThinkTank.Follow Chad on Twitter: @chadparsonsNFLFollow Jordan on Twitter: @mcnamaradynasty

With the Titans taking a brief break from training camp, the Buck Reising and Greg Cosell look ahead to their upcoming joint practices with the Seattle Seahawks. Greg pulls back the curtain on how coaches use these intense, inter-squad sessions to evaluate talent and breaks down the early preseason film on some highly anticipated rookies and young standouts.See omnystudio.com/listener for privacy information.

Adam Levitan and Evan Silva return to break down all the information gained from an eventual and revealing NFL Preseason Week One, assessing usage notes, injuries and depth chart changes.Links mentioned in the episode:⁠⁠⁠⁠⁠⁠Subscribe to Draft Kit Pro for all our articles, tiers and rankings this draft season⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Evan Silva's Top 150 Rankings for 2026 Fantasy Football⁠⁠⁠⁠⁠⁠⁠⁠⁠Evan Silva's Top-150 Change Log for 2026⁠⁠⁠⁠⁠⁠⁠Subscribe to the Establish The Run YouTube Channel⁠Timestamps:0:00 - Introduction2:51 - #1 Saints WR Jordan Tyson Re-Injures Hamstring7:20 - #2 Cardinals RB Jeremiyah Love Hurts Ankle11:50 - #3 Bears WR Luther Burden Seen Running Before Game14:50 - #4 Panthers RB Chuba Hubbard Injures Hamstring, Is Week-To-Week18:02 - #5 Bucs WR Emeka Egbuka Has Toe Injury, Optimistic For Week One21:59 - #6 Jets RB Breece Hall Leaves Practice With Non-Contract Groin Injury23:58 - #7 Giants Work Out RB Najee Harris, Cam Skattebo's Usage Concerns28:04 - #8 Jags WR Brian Thomas Jr. Expected To Play X30:29 - #9 Falcons QB Tua Tagovailoa Leads Atlanta QB Competition32:50 - #10 Vikings WR Jauan Jennings Could Lose WR3 Spot To Tai Felton34:56 - #11 Packers WR Preseason Game One Usage Notes 39:39 - #12 Giants TE Isaiah Likely Only Sees 6/14 Reps With Jaxson Dart41:45 - #13 Bills TE Dalton Kincaid Plays 12p Reps, Splits 11p Reps44:31 - #14 Bengals RB Preseason Game One Usage Notes46:33 - #15 49ers WR De'Zhaun Stribling Goes Off In Opening Preseason Game49:06 - #16 Cowboys RB Jaydon Blue Sees Vast Majority Of First Half Snaps50:45 - #17 Chargers TE Oronde Gadsden Plays With Backups, Kolar, Njoku Rested52:08 - #18 Titans RB Preseason Game One Usage Notes53:36 - #19 Jets WR Omar Cooper Jr. Losing Slot WR Battle?55:21 - #20 Dolphins Skill Position Preseason Game One Usage Notes58:29 - #21 Commanders RB Jacory Croskey-Merritt Moves Up Silva's Rankings59:40 - #22 Cowboys TE Jake Ferguson Drops From Silva's Top 150Want ETR on your team this season? Our 2026 NFL Draft Kit Pro has you covered with:Draft Rankings & TiersResearch & Analysis ArticlesDraft Strategy ContentIn-Season Roster ManagementTrade CalculatorsDiscord CommunitySubscribe now at ⁠⁠⁠⁠https://subscribe.establishtherun.com/nfldraftkitpro/⁠⁠⁠⁠DraftKings Best Ball: Draft One, Get OneEnter DraftKings' $20M Best Ball contest for $25 and you'll receive a bonus ticket to play a second Best Ball draft for free. Available to all DraftKings customers.⁠⁠⁠⁠Sign Up Now⁠⁠⁠⁠! ⁠⁠⁠⁠https://dkng.co/ETRBestBall⁠⁠⁠⁠Gambling Problem? Call 1-800-GAMBLER or 877-8-HOPENY/text HOPENY (467369) (NY). Help is available for problem gambling. Call (888) 789-7777 or visit [⁠⁠⁠⁠ccpg.org⁠⁠⁠⁠](⁠⁠⁠⁠http://ccpg.org⁠⁠⁠⁠) (CT).18+ in most eligible states, but age varies by jurisdiction. Eligibility restrictions apply. Void where prohibited. 1 per customer. Must enter a lineup into the NFL Best Ball $20M Headliner Contest. $25 entry fee. Bonus issued as 1 ticket to NFL Best Ball $20M Headliner Contest. Ticket reward is site credit valid for use only on NFL Best Ball $20M Headliner Contest. Ticket reward is single-use and expires at contest lock on 9/9/26. See terms at⁠⁠⁠⁠ https://www.draftkings.com/promotions⁠⁠⁠⁠. Ends 9/9/26 at contest lock. Sponsored by DraftKings.FREE NEWSLETTER: Tired of attention-seeking hot takes? Get the highest-quality fantasy football analysis in your inbox, FREE: https://establishtherun.kit.com/emailDFS OPTIMIZER: Sign up for THE SOLVER for access to the software we think fantasy players need to win: ⁠⁠⁠⁠https://thesolver.com/?ref=etr⁠⁠⁠⁠SPORTSBOOK OFFERS: We've partnered with several major sportsbook outlets to help supply you with the best offers in the industry and ensure you're maximizing your bankroll from the start: ⁠⁠⁠⁠https://establishtherun.com/offers/⁠⁠⁠⁠FOLLOW US: Check out our social media channels for FREE fantasy football & DFS videos, analysis, and more: ⁠⁠⁠⁠https://linktr.ee/establishtherun

Margin pressure driven by AI adoption and automation is fundamentally altering the economic model for IT service delivery and software. Trend Micro's disclosure that operating margins fell from 19% to 15% while cloud and AI token costs nearly doubled, despite strong AI security product sales, highlights how AI-related expenses grow in step with usage. This shift breaks from the historical software margin structure, where scaling incurred negligible incremental costs, and signals a new landscape in which AI service operation continuously consumes resources. A significant development underscoring this trend is the $2 billion capital raise by Thrive Holdings at a $12 billion valuation, backed by SoftBank and OpenAI. Thrive's business model centers on acquiring professional service firms—across IT and accounting—then reorganizing their operations around AI to reduce labor costs while maintaining service levels. According to Dave Sobel, this is not speculative, but reflects direct, substantial financial bets on the ability to remove a portion of service labor without customer disruption, with over 70 acquired service companies already undergoing this transition. Additional evidence comes from channel segment data and shifts in partner economics. The Techaisle Global Channel Partner Survey found service providers under $10 million in revenue project 8.4% growth, while those above $500 million expect 16.8%. AI-related cloud spending continues to climb, with Gartner projecting $42 billion primarily moving from training to ongoing inference operations. The resulting cost structure affects everyone, from increased hardware component prices—such as memory for GPUs—and service desk automation tool adoption, to the fact that most organizations now monitor AI spend as a named line item but struggle to forecast it reliably. Only 11% of organizations can predict their AI bills, down from 15% the prior year. For MSPs and IT leaders, these developments indicate rising operational complexity and increasing pricing competition. Automation drives down service delivery costs, but savings will quickly pass to clients as competitors implement similar solutions. Providers must quantify and communicate their impact on client outcomes, translating delivered value into client financial terms rather than relying solely on traditional metrics like licenses or labor hours. Failing to do so exposes providers to rapid commoditization and margin erosion, as clients grow more able to audit, benchmark, and bid out both cost savings and revenue enablement. 00:00 Two Billion Against Your Labor  04:10 Software Got a Cost of Goods 06:56 Get On Their Income Statement 10:29 Why Do We Care?  Supported by:  ScalePad  Proofpoint

Join Dennis Voznesenski, CBA's Agricultural and Sustainability Economist, for this week's Agri Commodity Update - where escalating Black Sea export disruption, stronger oil-markets and improving Australian rainfall collide with farmgate prices. This week, Dennis unpacks why Australian APW1 prices fell as northern hemisphere harvest supply pressure and favourable local weather weighed on prices, before examining why Russia's wheat story is increasingly about how much grain it can get out, rather than simply how much it can produce. He also breaks down canola's rally from oil-markets, Black Sea logistics and North American biofuel demand, before turning to cattle markets where favourable rain and tight US beef supply remain supportive, but temporarily weaker export demand is limiting local price upside.   Disclaimer:    Important Information   This podcast is approved and distributed by Global Economic & Markets Research (“GEMR”), a business division of the Commonwealth Bank of Australia ABN 48 123 123 124 AFSL 234945 (“the Bank”).  Before listening to this podcast, you are advised to read the full GEMR disclaimers, which can be found at www.commbankresearch.com.au.   No Reliance  This podcast is not investment research and nor does it purport to make any recommendations. Rather, this podcast is for informational purposes only and is not to be relied upon for any investment purposes.  This podcast does not take into account your objectives, financial situation or needs. It is not to be construed as a solicitation or an offer to buy or sell any securities or other financial products, or as a recommendation, and/or investment advice. You should not act on the information in this podcast.   The Bank believes that the information in this podcast is correct and any opinions, conclusions or recommendations made are reasonably held at the time given, and are based on the information available at the time of its compilation. No representation or warranty, either expressed or implied, is made or provided as to accuracy, reliability or completeness of any statement made.  Liability Disclaimer  The Bank does not accept any liability for any loss or damage arising out of any error or omission in or from the information provided or arising out of the use of all or part of the podcast.   Usage of Artificial Intelligence  To enhance efficiency, GEMR may use the Bank approved artificial intelligence (AI) tools to assist in preparing content for this podcast. These tools are used solely for drafting and structuring purposes and do not replace human judgment or oversight. All final content is reviewed and approved by GEMR analysts for accuracy and independence.       

August 12, 2026: I look at Stanford's updated Canaries in the Coal Mine research, which finds young workers in highly AI-exposed jobs are falling behind while experienced workers are holding up. Then I get into Fortune's report on companies capping AI usage as token costs blow past budgets. Finally, I unpack Anthropic's plan to watermark Claude-generated output and why it raises a much bigger question about authorship: how much AI help can a document get before people stop seeing it as yours?

Solana network activity is surging, onchain trading continues to grow, and major infrastructure players are building for the next generation of crypto markets. So why hasn't the price of SOL reflected that growth? In this episode of The Milk Road Show, John Gillen sits down with Rebecca Rettig, Chief Legal Officer and Chief Operating Officer at Jito Labs, to break down what's really happening across the Solana ecosystem, why network fundamentals and SOL price action may be disconnected, and how Jito is positioning itself for the future of onchain finance.~~~~~⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

China’s exports are booming while its property market and consumers remain under pressure, so what’s really happening in the world’s second-largest economy? Host Mandy Drury speaks with CommBank Economist & Currency Strategist Carol Kong about China’s increasingly two-speed economy and why Beijing is moving away from the stimulus-led growth model of the past. They discuss the property downturn, weak household confidence and the shift towards advanced manufacturing, technology and greater economic self-reliance. Carol also explains why China is willing to accept slower growth in pursuit of its long-term priorities, the risks that strategy creates for consumers and global trade, and what China’s changing economy could mean for Australian businesses and investors. Plus, CommBank Economist Harry Ottley shares the key focuses for markets in the week ahead. Important Information This podcast is approved and distributed by Global Economic & Markets Research (“GEMR”), a business division of the Commonwealth Bank of Australia ABN 48 123 123 124 AFSL 234945 (“the Bank”). Before listening to this podcast, you are advised to read the full GEMR disclaimers, which can be found at www.commbankresearch.com.au. No Reliance This podcast is not investment research and nor does it purport to make any recommendations. Rather, this podcast is for informational purposes only and is not to be relied upon for any investment purposes. This podcast does not take into account your objectives, financial situation or needs. It is not to be construed as a solicitation or an offer to buy or sell any securities or other financial products, or as a recommendation, and/or investment advice. You should not act on the information in this podcast. The Bank believes that the information in this podcast is correct and any opinions, conclusions or recommendations made are reasonably held at the time given, and are based on the information available at the time of its compilation. No representation or warranty, either expressed or implied, is made or provided as to accuracy, reliability or completeness of any statement made. Liability Disclaimer The Bank does not accept any liability for any loss or damage arising out of any error or omission in or from the information provided or arising out of the use of all or part of the podcast. Usage of Artificial Intelligence To enhance efficiency, GEMR may use the Bank approved artificial intelligence (AI) tools to assist in preparing content for this podcast. These tools are used solely for drafting and structuring purposes and do not replace human judgment or oversight. All final content is reviewed and approved by GEMR analysts for accuracy and independence.See omnystudio.com/listener for privacy information.

After a short summer break, Pilot's Portfolio is back with a refreshed format and a new Season (4)!This next run of episodes is built around real questions Timothy P. Pope, CFP® receives from professional pilots and their families in planning conversations.This is a two-part deep-dive on one of the biggest questions professional pilots bring to the planning table: “How can we pay less in taxes?”Whether the number is six figures or simply higher than expected, the starting point is understanding what that number actually represents.In Part 1, Tim starts with the first step: understanding what the tax number actually means.Is it total tax liability, withholding, a large April payment, or income that changed unexpectedly?Tim discusses how W-2 income, spouse income, upgrades, premium flying, capital gains, property sales, inherited IRAs, and deductions can shape the tax picture, while explaining why a write-off should support a sound financial decision rather than drive one.Follow Pilot's Portfolio for Part 2, where the conversation moves into tax-efficient investing, tax-loss harvesting, and planning beyond one tax year.If you're enjoying Pilot's Portfolio and finding these conversations helpful, we'd really appreciate a 5-star review on your podcast platform of choice. It helps more professional pilots and their families discover the show:- Apple Podcasts: https://podcasts.apple.com/us/podcast/pilots-portfolio/id1718915375- Spotify: https://open.spotify.com/show/5p2Tkf16Q9lV693lHV4Zo9Have a question you'd like Tim to address, or want to explore how 360 Aviation Advisors helps professional pilots plan around taxes, retirement, investments, and life transitions? Schedule An AppointmentOur Practice's WebsiteContact Us: info@pilotsportfolio.comThis episode is sponsored by: Beacon RelocationBeacon Relocation is a real estate firm helping pilots and air traffic controllers save money on their real estate transactions. By tapping into their network of over 1500 real estate agents across the country, pilots can save 20% of the real estate agent's commission towards your closing cost on the sale or purchase of your home. Visit https://www.beaconrelocation.com/ to learn more. Timothy P. Pope is a Certified Financial Planner™and principal owner of 360 Aviation Advisors, LLC (“360 Aviation Advisors”), a registered investment advisory firm. Investment advisory services are provided through 360 Aviation Advisors, in its separate and individual capacity as a registered investment adviser. Podcast episodes are provided through Pilot's Portfolio, in its separate and individual capacity.We try to provide content that is true and accurate as of the date of publishing; however, we give no assurance or warranty regarding the accuracy, timeliness, or applicability of any of the contents. We assume no responsibility for information contained on this website and disclaim all liability in respect of such information, including but not limited to any liability for errors, inaccuracies, omissions, or misleading or defamatory statements.Links to external websites are provided solely for your convenience. We accept no liability for any linked sites or their content and remind you that we have no control over their content. When visiting external web sites, users should review those websites' privacy policies and other terms of use to learn more about, what, why and how they collect and use any personally identifiable information.Usage of this content constitutes an explicit understanding and acceptance of the terms of this disclaimer. 

In today's edition of The Six, Connor Nute and Parker Kelley break down the latest around Titans training camp, including injuries to Elic Ayomanor and John Franklin-Myers, Connor's thoughts on Will Levis and if its only a matter of time until he's no longer in Tennessee, and if the Titans could rely more heavily on the TE room.  Also, the guys play the game that's sweeping the station and one day that nation: Where Are They Now!

Right-wing authoritarian and extremist movements are on the march worldwide. This podcast will host some of the globe's leading experts on the radical right to help us understand the development of these extremists. Each episode, hosts and guests bring their specialist insights to break down the critical people, places, organizations, actions, and ideas of the radical right. Produced by the Centre for Analysis of the Radical RightSpecial Guest: Sophie Schmalenberger .

Today we are talking about Maintaining NodeJS, Patternlab, Writing Books, and Open Source with guest Brian Muenzenmeyer. We'll also cover AI Webform Generator as our module of the week. For show notes visit: https://www.talkingDrupal.com/564 Topics Brian Open Source Origins Pattern Lab Node Journey Maintaining and Moving On Writing Approachable Open Source Who the Book Is For Beyond Code Contributions All Things Open Book Signing Choosing Conferences to Attend Pitching Open Source at Work Misconceptions and Starting Small Avoiding Maintainer Burnout Handling AI Noise and Low Effort PRs DCO and Licensing Basics Better Communication and Reviews Node and Drupal Lessons Optimism for Open Source Future Resources Brian Muenzenmeyer https://brianmuenzenmeyer.com https://approachableopensource.com/ https://bsky.app/profile/brianmuenzenmeyer.com https://www.linkedin.com/in/brian-muenzenmeyer-91a77554/ https://www.renderatl.com/schedule upcoming https://nodeconf.eu/program upcoming spectrum of engagement https://approachableopensource.com/blog/2025-open-source-pace-layers/ change in contention https://brianmuenzenmeyer.com/posts/2018-i-maintainer/ burnout https://approachableopensource.com/read/the_spectrum_of_engagement/ https://approachableopensource.com/read/the_four_files_of_any_open_source_project/ LICENSE Hodag Cryptid https://en.wikipedia.org/wiki/Hodag https://www.rhinelanderchamber.com/about-the-hodag/ You should write a book All contributors spec Talk at all things apart DCO Developer Certificate of Origin Open source law policy and practice Sustain OSS Guests Brian Muenzenmeyer - brianmuenzenmeyer.com Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Bernardo Martinez - bernardm28 JD Flynn - dorficus MOTW Correspondent Jacob Rockowitz - jrockowitz.com jrockowitz Brief description: AI Webform Generator enables site builders to create a Drupal Webform, or update an existing one, from plain-English instructions. It sends the request through the site's configured Drupal AI provider, validates the returned Webform definition, and saves the resulting form. Review the generated change before using the form. Module name/project name: AI Webform Generator (ai_webform_generator) Brief history Created on 2 July 2026 by chaitanyadessai (Chaitanya R Dessai). The current stable release is 1.0.2, released on 3 July 2026, and supports Drupal ^10 || ^11. Maintainership Appears actively maintained: Drupal.org lists an update on 24 July 2026. Maintainers: zeeshan_khan and chaitanyadessai. (Specbee) Security coverage: Yes. Stable releases are covered by Drupal's security advisory policy. Test coverage: Yes. Version 1.0.2 includes unit, kernel, and functional tests for prompt building, JSON validation, settings, route access, Webform building, and optional CAPTCHA elements. Documentation: Yes. The project page and module README cover requirements, configuration, usage, security considerations, and supported field types. Issues: 1 open issue, with 0 open bug reports (7 issues total). Usage stats: 1 site reports using this module. Module features and usage Creates complete Webforms and updates existing Webforms in place from natural-language prompts. Supports common Webform elements, including text, email, telephone, number, date, select, checkbox, radio, range, password, hidden, and managed-file elements. Validates the AI response before applying the Webform definition. Uses the existing Drupal AI provider configuration; API keys are not stored in this module's configuration. Provides configurable model, temperature, output-token, and per-user request limits to balance output quality and provider spend. Requires trusted users with both the generator permission and ordinary Webform edit access when changing an existing form. AI-Generate Notes, Review, and Recipe (used for testing) https://github.com/jrockowitz/drupal_playground/tree/main/recipes/drupal_playground_webform_ai AI-Generated Assessment Technical: The module separates AI generation, prompt building, JSON validation, and Webform construction into Drupal services. It uses the site's configured Drupal AI provider, validates a limited allowlist of Webform element types before saving, and exposes model, temperature, output-token, and per-user request-limit settings. Access and error handling: Generation requires its own permission, and updating an existing Webform also requires normal Webform update access. A per-user flood limit constrains provider spend; failures are logged, with detailed upstream errors shown only to generator administrators. Code quality: Version 1.0.2 uses strict types and separates form, service, validation, and persistence responsibilities. It includes unit, kernel, and functional coverage for core behavior. This assessment is a code review of the released module, not a security audit. Implementation: The module creates new Webforms and updates supported fields of existing Webforms in place, but saves the generated definition immediately without a preview, diff, or approval screen. Usefulness: The module is useful for quickly drafting straightforward Webforms and iterating on common field changes when a site builder reviews the result. Complex, highly customized, or regulated forms need especially careful manual review before publication. How to use it: Configure a chat-capable provider, select an existing Webform or choose to create one, describe the fields and validation in plain English, submit the request, and then review the saved Webform. For example, create a disposable contact Webform and ask the generator to add a required telephone field while preserving the existing fields. AI-generated source code: The module's runtime use of AI and its code style cannot establish whether its source was AI-generated or AI-assisted. Its public project metadata does not make an authorship claim, so this is unknown. Possible improvements: Add a preview/diff and explicit approval before saving; broaden support for advanced Webform structures and handlers; add optional, privacy-conscious prompt and response audit logs; and expand regression coverage for complex Webform updates. Next steps for adopters: Restrict generation to trusted roles, begin with a low request limit, test representative prompts outside production, and review every generated field, validation rule, confirmation message, and permission before publishing.

Zinc deficiency is dire, yet direly difficult to actually determine. You may be muddling through life with a subclinical, undiagnosed Zinc deficiency - even if you take a multivitamin with Zinc in it! But here's the bad news: standard blood tests for zinc are almost completely useless, but blindly megadosing it can trigger a neurological nightmare. Here I break down the recent science and how a smart Biohacker optimizes Zinc for human high performance.4:33 A player of ubiquitous biological roles5:58 Scientific research9:53 Empowering neuroplasticity16:00 Cognitive enhancer19:33 For immunity22:14 Zinc deficiency25:40 Zinc testing28:50 Empirical optimization protocol32:00 Vs stress33:15 Sources40:34 Zinc forms44:15 Food sources44:54 Vs ADHD45:42 Testosterone promoter46:57 Antioxidant47:33 Cofactors48:37 Usage and dosage53:01 Side effects55:58 ConclusionRead Meta-Analysis

NVIDIA joins the LVFS, bringing easy firmware updates to Linux! Blick launches their video editor built entirely in Odin, Linux desktop usage reaches an all-time high of 10%, and what happens when you stick CUDA and ARM on something the size of a credit card?Video version of the show is available to Patrons, along with the Extended Chaos podcast featuring over an extra hour of LWDW content every week.⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTubeTimestamps:00:00 Intro06:05 Linux driver for MOTU Microbook! 09:06 Linux desktop usage tops 10%19:46 Blick video editor announces Linux support 27:30 NVIDIA joins the LVFS firmware service 34:13 Learning about NVIDIA single board computers Topics:Linux at 10%! https://gs.statcounter.com/os-market-share/desktop/north-america#monthly-202506-202607New NLE for Linux https://blickeditor.com/NVIDIA joins LVFS!https://9to5linux.com/nvidia-joins-dell-and-hp-in-supporting-the-linux-vendor-firmware-service-lvfsSlice of PiTeam Green SBCshttps://interfacinglinux.com/2026/08/04/recomputer-super-j4012-setup-and-quickstart/

Australia is attracting billions of dollars in data centre investment, but can the country deliver the infrastructure needed to support the AI boom? Host Mandy Drury speaks with CommBank Economist Lucinda Jerogin about Australia's rapidly expanding data centre pipeline, what is driving demand and why the sector is set to become the biggest contributor to business investment growth over the next two years. They discuss the scale of the proposed build-out, why the economic boost is smaller than the investment headline suggests, and the evidence that projects are already moving beyond announcements. They also explore the challenges facing the sector, from electricity, water and skills shortages to community opposition, and whether Australia's data centre boom should ultimately be viewed as an AI opportunity or an infrastructure challenge. Plus, CommBank International & Sustainable Economist John Oh shares the key focuses for markets in the week ahead. Important Information This podcast is approved and distributed by Global Economic & Markets Research (“GEMR”), a business division of the Commonwealth Bank of Australia ABN 48 123 123 124 AFSL 234945 (“the Bank”). Before listening to this podcast, you are advised to read the full GEMR disclaimers, which can be found at www.commbankresearch.com.au. No Reliance This podcast is not investment research and nor does it purport to make any recommendations. Rather, this podcast is for informational purposes only and is not to be relied upon for any investment purposes. This podcast does not take into account your objectives, financial situation or needs. It is not to be construed as a solicitation or an offer to buy or sell any securities or other financial products, or as a recommendation, and/or investment advice. You should not act on the information in this podcast. The Bank believes that the information in this podcast is correct and any opinions, conclusions or recommendations made are reasonably held at the time given, and are based on the information available at the time of its compilation. No representation or warranty, either expressed or implied, is made or provided as to accuracy, reliability or completeness of any statement made. Liability Disclaimer The Bank does not accept any liability for any loss or damage arising out of any error or omission in or from the information provided or arising out of the use of all or part of the podcast. Usage of Artificial Intelligence To enhance efficiency, GEMR may use the Bank approved artificial intelligence (AI) tools to assist in preparing content for this podcast. These tools are used solely for drafting and structuring purposes and do not replace human judgment or oversight. All final content is reviewed and approved by GEMR analysts for accuracy and independence.See omnystudio.com/listener for privacy information.

Join Dennis Voznesenski, Agriculture and Sustainability Economist at Commonwealth Bank, for this week's Agri Commodity Update - where Black Sea disruption, improving northern hemisphere supply and softer global demand collide with Australian farmgate prices. This week, Dennis unpacks why wheat prices fell as harvest supply outweighed repeated attacks on Black Sea export infrastructure, why Australian APW1 prices followed offshore futures lower and how forecast southern rainfall is improving local crop prospects. He also breaks down canola's decline from improved Canadian crop conditions, weaker soybeans, softer oil-markets and a firmer Australian dollar. He then turns to cattle markets where tight US supply remains supportive, but limited inland rainfall, rising yardings and weaker Chinese and US beef-market signals are putting downward pressure on prices.   Disclaimer:    Important Information   This podcast is approved and distributed by Global Economic & Markets Research (“GEMR”), a business division of the Commonwealth Bank of Australia ABN 48 123 123 124 AFSL 234945 (“the Bank”).  Before listening to this podcast, you are advised to read the full GEMR disclaimers, which can be found at www.commbankresearch.com.au.   No Reliance  This podcast is not investment research and nor does it purport to make any recommendations. Rather, this podcast is for informational purposes only and is not to be relied upon for any investment purposes.  This podcast does not take into account your objectives, financial situation or needs. It is not to be construed as a solicitation or an offer to buy or sell any securities or other financial products, or as a recommendation, and/or investment advice. You should not act on the information in this podcast.   The Bank believes that the information in this podcast is correct and any opinions, conclusions or recommendations made are reasonably held at the time given, and are based on the information available at the time of its compilation. No representation or warranty, either expressed or implied, is made or provided as to accuracy, reliability or completeness of any statement made.  Liability Disclaimer  The Bank does not accept any liability for any loss or damage arising out of any error or omission in or from the information provided or arising out of the use of all or part of the podcast.   Usage of Artificial Intelligence  To enhance efficiency, GEMR may use the Bank approved artificial intelligence (AI) tools to assist in preparing content for this podcast. These tools are used solely for drafting and structuring purposes and do not replace human judgment or oversight. All final content is reviewed and approved by GEMR analysts for accuracy and independence. 

OpenAI's CEO seemed excited to share a "cool use case" for parents. Also, Green offered a remarkable apology, saying that "the level of dopamine that I've been getting from interacting with LLMs ... is not healthy for me or good for the world." Learn more about your ad choices. Visit podcastchoices.com/adchoices

The central structural shift addressed is the fracture of the longstanding per-user, per-month MSP pricing model due to AI-enabled consumption-based (tokenized) billing, which introduces variable costs previously absent from MSP contracts. This shift is being reinforced by vendor strategies from firms such as Microsoft, Atera, ConnectWise, N-able, and Pax8, each proposing different mechanisms for channel partners to integrate and manage AI costs and capabilities. Recent research from Omnia, highlighted by Jessica Davis, underscores the pace and fragmentation of this evolution, creating new exposure for MSPs to vendor-driven pricing and value capture. Data from an Omnia poll of 255 MSPs found 40% are maintaining traditional per-user pricing, while 60% are reevaluating or transitioning toward hybrid, outcome-based, or true consumption models. Business of Tech research shows that two-thirds of MSPs have not referenced AI at all in their customer-facing positioning, and those that do overwhelmingly reference Microsoft as their AI provider. According to Jessica Davis, much of the 40% maintaining legacy pricing may not be doing so out of clear strategy or discipline, but because they have yet to encounter the practical or financial impacts of AI usage patterns. Secondary developments discussed include vendor-driven channel consolidation in the form of proprietary control planes: Kaseya, ConnectWise, N-able, and Pax8 are all positioning their platforms as the central operational layer for AI services, but with divergent models—ranging from bundled internal use to open orchestration. Dave Sobel and Jessica Davis note that this fragmentation and experimentation by vendors creates substantial complexity for MSPs, who face real risk of shifting from managed service models to a lower-margin reseller role, particularly as vendors seek to capture value through consumption pricing. Additionally, the rapid pace of AI tool development is enabling some MSPs, particularly advanced or less-regulated firms, to bypass vendors and build custom integrations or internal automations. For operators, the practical implications are increased operational risk and pricing uncertainty, coupled with the challenge of balancing internal efficiency gains against eventual client demand for AI-driven services. Vendor dependency is deepening as MSPs must choose whether to commit to a control plane and cede elements of value and data custody, or attempt to differentiate through custom service layers. The most immediate risk is margin compression from ill-managed or misaligned pricing models—a threat compounded if MSPs fail to map their AI cost and value flows. According to Jessica Davis, MSPs who closely monitor their actual AI-related costs and value delivered, rather than reacting prematurely or simply holding the line, will be better positioned to adapt to ongoing changes in both technology and vendor strategy.   Supported by: Pax8Guardz

Today we are talking about Drupito, its Business model, and Marketplaces with guest Ashraf Abed. We'll also cover Generate (Social Media) Image as our module of the week. For show notes visit: https://www.talkingDrupal.com/563 Topics Meet Drupalito and the Mission Platform Layers and Roadmap Pricing and New Markets Marketplace Success Stories Exportability and Vendor Lock In Growing the Drupal Ecosystem Derivatives and Recurring Revenue Rebuilding on Drupedo Funding Drupal Association Global Community Check In Migrating Sites to Drupedo Marketplace Vision Shift Maintenance and Incentives Safe Updates Blue Green Testing Mindset for Templates Official Marketplace Collaboration Agency Revenue and Partnerships Niche Derivatives and Pricing Launch Plans and Vetting Resources Code that ships Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Ashraf Abed - drupito.com ashrafabed Avi Schwab - froboy.org froboy MOTW Correspondent Avi Schwab - froboy.org froboy Brief description: Have you ever wanted Drupal to generate dynamic social media images using tokenized node data, similar to the share images on GitHub repos or Reddit threads? There's a module for that Module name/project name: Generate (Social Media) Image Brief history How old: Created by tfranz of Germany on 22 April 2022 Versions available: 1.x-dev, 2.0.0-beta2, published a few weeks ago by our own Martin Anderson-Clutz Maintainership Minimally (although now slightly more actively) maintained No Security coverage (yet) Passing GitLab CI tests Well fleshed out README for docs Number of open issues: 8 open issues, 0 of which are bugs against the current branch, but there are lots of feature requests Usage stats: 1 site reports using this module Module features and usage GSMI requires an image style that uses a "Text Overlay" effect — this comes from the Image Effects module and lets you burn tokenized (or static) text onto an image. Normally, when Drupal generates an image style derivative, there's no entity in scope — it's just processing a file — so a token like [node:title] would resolve to nothing. GSMI's real contribution is the glue: when it builds a derivative for a specific node, it swaps in the node-resolved text before generating the image. That's what makes entity-aware tokens work inside an effect that otherwise only sees global tokens. Once the image style exists, GSMI's settings form lets you pick a source image field on the node — an image field or a media-reference field — plus a fallback image for when that's empty. From there it generates the styled derivative from that source image, for any node of any content type that has the field. Finally, GSMI exposes its own token — [node:generate-style], with optional style/field overrides — so you're not locked into the one global style/field pair configured in the settings form. I used that to drop the generated image into Metatag's og_image field for the Session content type on the MidCamp site, getting us dynamically generated session images.. A couple of gotchas we hit setting this up: Text Overlay's layout options have some bugs, and not filling out all of the options will result in an image library error. The bigger one: GSMI names the generated derivative file after the source image's filename — extension included — not after whatever format the image style actually outputs. If you try to convert an image to WebP you might get a WebP image with a JPG extension. BUUUUT - LinkedIn still doesn't support WebP (at least as per their documentation, so it's still in 2026 not safe to use WebP for a universal og:image. https://www.linkedin.com/help/linkedin/answer/a521928

Hour 1: Chris and Donny are live at Casino Pittsburgh today! Why was Carmen Mlodzinski used in the Pirates' loss yesterday? Chris reveals he is the president of his HOA. And Jason Mackey joins the show to preview the Pirates' next moves before the deadline.

The Middle East conflict has entered a new phase, but where could it go from here and what would it mean for the global economy? Host Mandy Drury speaks with CommBank Senior Geo-Economics Analyst Dr Madison Cartwright about why the Memorandum of Understanding collapsed, the three most likely paths for the conflict and why a diplomatic solution may become more likely over the coming months. Mandy also speaks with CommBank Head of Commodities and Sustainable Economics Vivek Dhar about how markets are assessing the conflict, the outlook for oil prices and what higher energy costs could mean for Australian households, businesses and inflation. Plus, CommBank Senior Associate, Market Strategy and Rates Research Michael Tang shares the key focuses for markets in the week ahead. Important Information This podcast is approved and distributed by Global Economic & Markets Research (“GEMR”), a business division of the Commonwealth Bank of Australia ABN 48 123 123 124 AFSL 234945 (“the Bank”). Before listening to this podcast, you are advised to read the full GEMR disclaimers, which can be found at www.commbankresearch.com.au. No Reliance This podcast is not investment research and nor does it purport to make any recommendations. Rather, this podcast is for informational purposes only and is not to be relied upon for any investment purposes. This podcast does not take into account your objectives, financial situation or needs. It is not to be construed as a solicitation or an offer to buy or sell any securities or other financial products, or as a recommendation, and/or investment advice. You should not act on the information in this podcast. The Bank believes that the information in this podcast is correct and any opinions, conclusions or recommendations made are reasonably held at the time given, and are based on the information available at the time of its compilation. No representation or warranty, either expressed or implied, is made or provided as to accuracy, reliability or completeness of any statement made. Liability Disclaimer The Bank does not accept any liability for any loss or damage arising out of any error or omission in or from the information provided or arising out of the use of all or part of the podcast. Usage of Artificial Intelligence To enhance efficiency, GEMR may use the Bank approved artificial intelligence (AI) tools to assist in preparing content for this podcast. These tools are used solely for drafting and structuring purposes and do not replace human judgment or oversight. All final content is reviewed and approved by GEMR analysts for accuracy and independence.See omnystudio.com/listener for privacy information.

Join Dennis Voznesenski, Director, Sustainable and Agricultural Economist at Commonwealth Bank, for this week's Agri Commodity Update — where Black Sea disruption, oil-markets and global beef trade collide with Australian farmgate prices. This week, Dennis unpacks why wheat prices swung sharply as Russia-Ukraine attacks disrupted Black Sea export logistics, why Australian APW1 prices rose despite offshore futures finishing lower, and how patchy rainfall is changing local crop prospects. He also breaks down canola's pull between weaker oilseed and crude markets, Canadian crop risk and expanded crushing capacity, before turning to cattle markets where US beef demand and continued market access remain supportive, but limited inland rain, higher feedgrain costs, rising yardings and South Korea's safeguard tariff are limiting upside.   Disclaimer:    Important Information   This podcast is approved and distributed by Global Economic & Markets Research (“GEMR”), a business division of the Commonwealth Bank of Australia ABN 48 123 123 124 AFSL 234945 (“the Bank”).  Before listening to this podcast, you are advised to read the full GEMR disclaimers, which can be found at www.commbankresearch.com.au.   No Reliance  This podcast is not investment research and nor does it purport to make any recommendations. Rather, this podcast is for informational purposes only and is not to be relied upon for any investment purposes.  This podcast does not take into account your objectives, financial situation or needs. It is not to be construed as a solicitation or an offer to buy or sell any securities or other financial products, or as a recommendation, and/or investment advice. You should not act on the information in this podcast.   The Bank believes that the information in this podcast is correct and any opinions, conclusions or recommendations made are reasonably held at the time given, and are based on the information available at the time of its compilation. No representation or warranty, either expressed or implied, is made or provided as to accuracy, reliability or completeness of any statement made.  Liability Disclaimer  The Bank does not accept any liability for any loss or damage arising out of any error or omission in or from the information provided or arising out of the use of all or part of the podcast.   Usage of Artificial Intelligence  To enhance efficiency, GEMR may use the Bank approved artificial intelligence (AI) tools to assist in preparing content for this podcast. These tools are used solely for drafting and structuring purposes and do not replace human judgment or oversight. All final content is reviewed and approved by GEMR analysts for accuracy and independence. 

The Detroit Lions must phase out three-linebacker defense and scrap the 3-3 in 2026. They played 657 of 1,050 defensive snaps in 4-3 last season, 62.57 percent, and used the 3-3 front 243 times, far more than any other team. The defense improves when Detroit lives in nickel and dime with more speed on the field. Should the Detroit Lions ditch three-linebacker packages in 2026? Yes. They leaned on three linebackers far more than the rest of the NFL, and it invited speed mismatches against modern offenses in 11 personnel. As Jeff Risdon noted, the Lions were in 4-3 on 657 of 1,050 defensive snaps, 62.57 percent, with only one other team above 50 percent at 52.88. Playing bigger and slower on passing downs made the second level late to space and created exploitable coverage targets. Risdon also said the quarterback rating allowed was almost the same whether Detroit had three linebackers on the field or not, which must change with a truer nickel and dime identity. What fronts should replace the 4-3 and 3-3 for Detroit? Detroit needs a heavier dose of 4-2 nickel, selective 5-1, and DB-heavy 3-2-6. Last year's baselines set the bar for improvement, not repetition. Usage facts that demand a shift As read by Risdon from Ryan Paganetti's study: the Lions used a 4-2 front only 111 times, last in the league. They used 5-1 zero times. They led the NFL in 3-3 with 243 snaps, while the next team was at 131, another at 31, and 17 teams did not use it once. Those numbers underline how far Detroit drifted from the league's nickel norms. Moving to 4-2 and sprinkling in 5-1 and 3-2-6 puts more speed and coverage on the field and better matches today's route distributions. Why did Detroit lean so hard into three linebackers last year? Injuries in the secondary and strong linebacker play pushed them there. Detroit Lions linebacker Jack Campbell, Detroit Lions linebacker Alex Anzalone, and Detroit Lions linebacker Derrick Barnes tackled well, and as Risdon emphasized, Detroit had the best missed tackle rate in football based on the data he cited. But even with quality play, a third off-ball linebacker versus spread looks concedes quickness. Think of how Detroit Lions quarterback Jared Goff shreds heavy linebacker looks with routes that stress the hook-curl and seams. Opponents did the same to Detroit when the Lions stayed big. Better health for Detroit Lions safety Kirby Joseph and Detroit Lions safety Brian Branch, plus a deeper secondary, should free the defense to keep an extra defensive back on the field. Will coaching changes accelerate the shift? Yes. Dan Campbell can reallocate more time to the defense because the offensive room is stronger, and that helps Detroit Lions defensive coordinator Kelvin Sheppard refine personnel usage. As Jeff Risdon said, Sheppard must earn it by choosing fronts that keep speed on the field and by reserving three-linebacker looks for true run situations, not as a default. Expect to see more four- and five-man fronts paired with nickel in camp. Watch how often Detroit keeps two off-ball linebackers on the field, how Detroit Lions edge rusher Aidan Hutchinson is deployed, and how Detroit Lions linebacker Malcolm Rodriguez or rookie depth are used situationally. Against division quarterbacks such as Chicago Bears quarterback Caleb Williams, forcing the mundane snap after snap with nickel bodies is the point. #detroitlions #lions #detroitlionspodcast #jackcampbell #alexanzalone #derrickbarnes #kirbyjoseph #brianbranch #jaredgoff #aidanhutchinson #malcolmrodriguez #calebwilliams #chicagobears #greenbaypackers #arizonacardinals #kansascitychiefs #dancampbell #kelvinsheppard Learn more about your ad choices. Visit megaphone.fm/adchoices

Today we are talking about Supporting Open Source, Acquia, and The Acquia Fair Trade Initiative with guest James Sims. We'll also cover Image Effects as our module of the week. For show notes visit: https://www.talkingDrupal.com/562 Topics Fair Trade Initiative Explained How the Program Started Why Fair Trade Matters Adoption and Open Framework Agency and Freelancer Benefits Partner Funded Giving Who Can Be Makers Tracking Participation Tax Deduction Questions Community Shaped Program Money Counts Too Early Challenges Timeline And Launch Sustainability Built In How To Get Involved Defining Success Origins Of Fair Trade Resources Acquia Fair Trade Initiative Taste of chicago Giordanos Lou's pizza Five For The Future Image Convolution Playground Guests James Sims - rcjmselp85 Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Avi Schwab - froboy.org froboy MOTW Correspondent Avi Schwab - froboy.org froboy Brief description: Have you ever gone to edit an image style in Drupal, looked at the list of filters, and said "give me more! I want more!". Have you said "I'd like to mirror, filter, and convolute an image in Drupal - all at the same time". If so, you're in luck. Let me introduce you to our module of the week: Module name/project name: Image Effects Brief history How old: Created by Drupal user mondrake of Italy on 17 September 2015. It's also the successor to the ImageCache Actions module, which was created all the way back in 2008. Versions available: It has a 4.0.0 version available with Drupal 10 and 11 support, and a 5.0.0 version for Drupal 11.3 and above. Maintainership Actively maintained Security coverage Test coverage Documentation It has a full README with details about the available image styles and whether they are supported by the GD or ImageMagick PHP libraries. Number of open issues: 35 open issues, 3 of which are bugs against the current branch. (The current branch has only been out a few months, and many of the open issues against prior branches seem to still be relevant.) Usage stats: 35,196 sites report using this module, with most still on the 3.x or 4.x branches. (its predecessor, ImageCache Actions, still has over 25,000 active installs) Module features and usage The module is pulled in just like any other, with composer require and then enable via drush or the UI. Once it's installed there is a very basic settings page, but most folks won't use much on there. The power of Image Effects comes when you go to Config > Media > Image Styles and then edit an Image Style. Once Image Effects is enabled, you'll see over two dozen additional effects in the list. These effects range from simple to complex. Interestingly, many of the effects that were so amazing 15 years ago are now doable with CSS. Still, there are some incredibly powerful filters. Side note: I'd strongly recommend Aubrey Sambor's recent talk from Drupal Camp Asheville, "You Don't Need JS for That", and her prior talk "Color in CSS" to learn a ton of things you didn't know about CSS effects. The basics like Color Shift, Contrast, Mirror, Rotate, and more are there if you'd like to do these natively. More advanced filters like Sharpen, Blur, and Convolute let you make more complex modifications to images. "Convolution" is the process of applying n-dimensional matrixes to images to create effects such as blurring, sharpening, and edge detection. Try it out on https://anna.engineering/Image-Convolution-Playground/src/ Lastly, you can create advanced image styles with ImageMagick arguments, create Text overlays using the power of Drupal tokens, or even develop your own Image Effects guided by the incredibly detailed DEVELOPING.md file included with the module.

Analysis of Dalton Kincaid's ranking as a top NFL tight end leads to a discussion on his recurring injury history and offensive usage. They also examine the coaching relationship between Joe Brady and Josh Allen while reflecting on Brandin Cooks' recent comments about the team's direction. 01:01 - Brandin Cooks on Joe Brady 01:49 - Dalton Kincaid's PFF Ranking 07:12 - Kincaid's Recurring Injury Concerns 13:42 - Allen and Brady's Relationship

What does it really take for an independent insurance agency to survive the next 24 months?In this episode of Transcend with M, I sit down with Jason Cass, founder of Agency Intelligence, CEO of Virtual Intelligence, and the force behind IndieTech, to talk about the shift that is quietly rewriting how agencies operate.Jason breaks down the number one stress inside every agency: work getting routed to the wrong person. We get into his new routing engine, why he believes margins can move from 25% to 70%, and how licensed staff, unlicensed VEs, and agentic bots are about to work side by side.We also get into:→ Why AI will not eliminate agents, but agents who use AI will eliminate those who do not→ The real reason legacy agencies struggle to adopt new tools→ What the labor shortage means for the next decade of insurance→ Why the biggest AMS companies should be the most nervous→ Usage based pricing and the end of per seat costs→ What is coming at IndieTech and why he built it as neutral ground for agentsThis one is honest, fast, and full of ideas you can act on. If you lead an agency, work inside one, or build the technology that powers them, this conversation is for you.Connect with Jason Cass: https://www.linkedin.com/in/jasondcass/Learn more about IndieTech: https://www.linkedin.com/company/indietech-showcase-experience/Follow Transcend with M for more conversations with the people shaping the future of insurance and leadership.Listen on Spotify:Watch more episodes: https://www.youtube.com/watch?v=FBXyfVCDV8c&list=PLVLexvMhvFH-X1LnYN5F-fGWbwW5e5TDI#TranscendWithM #Season3 #Insurance #InsurTech #AI #WomenInInsurance #WomenLeaders #PersonalBrand #Leadership #Podcast #AgencyGrowth #IndieTech

Isabel is back around the Pink Desk!

Craig and Zach talk with Bobby Valentine about the New York Mets' reliance on AI for pitch calling and the team's current organizational struggles. Bobby reflects on the profound emotional impact of Mike Piazza's iconic 2001 home run and evaluates the possibility of Alex Rodriguez becoming a big-league manager. They also celebrate producer Pete Hoffman's 44th birthday with cupcakes and take listener calls about the Yankees' playoff outlook. 01:20 - Bobby Valentine Joins 04:53 - AI Pitch Calling Discussion 08:45 - Managing Large Player Egos 13:45 - Mets Managerial Search 16:45 - Piazza's Emotional Home Run 22:00 - Bobby Valentine's Career Update 27:20 - A-Rod Manager Potential 31:24 - Birthday Cupcake Celebration 35:18 - Yankees Without Aaron Judge 40:36 - Tiger Woods Interaction

I had a request from a customer recently who asked if we could give them a report of their database server instances and include CPU usage. This request was filtered through an account executive, so something was lost in translation, but I was confused and asked for clarification, as asking for CPU usage is kind of like asking how fast you were traveling in your car. There needs to be more context. If someone asked you for a report of CPU usage for a database, what would you expect? How would you report this? I'm sure the person asking might make a difference. A fellow DBA, your DBA manager, or maybe an executive could all view this differently. I want to know how things are performing, if there is a trend, or maybe if we are getting value for the hardware we've provisioned, depending on my role. Read the rest of What is CPU Usage?

Jacob takes a deep dive into remaining bell-cow RBs.

Lin Qiao is the Co-Founder and CEO of Fireworks AI, the leading specialized intelligence and AI inference platform that last week raised $1.5BN at a whopping $17BN valuation. With just 200 people, the company has hit $1BN in ARR and expects to hit $2BN before the end of the year. Prior to Fireworks, Lin spent several years at Meta including on the founding team of PyTorch.  AGENDA: 00:07 — Why Did Fireworks Bet on Inference When Everyone Else Was Chasing Training? 00:13 — Can Open-Source Models Turn AI Infrastructure into a Commodity? 00:19 — Should Enterprises Trust Chinese Open Models With Their Most Sensitive Data? 00:25 — Will Model Progress Keep Moving This Fast—or Are We Nearing a Plateau? 00:28 — Will the Multi-Model World Create a $100BN Routing Layer? 00:37 — How Much Will AI Token Usage Explode Over the Next Two Years? 00:43 — Will Token Costs Fall 10x—and Unleash 100x More Demand? 00:49 — Does Fireworks Eventually Have to Build Its Own Data Centres? 01:02 — What Is the Real Bottleneck Holding Back the AI Economy?  

The 94 WIP Morning Show analyze the impact of Trevor Zegras' extension on the Flyers' future salary cap and team building. They also engage in a spirited debate about LeBron James potentially joining the Sixers, questioning his willingness to take a secondary role alongside Joel Embiid. The conversation also explores the World Cup and listener votes for the best non-human fictional characters and a look ahead to the Phillies' second half of the season. 01:51 - World Cup Final Debate 05:48 - Trevor Zegras Extension Analysis 11:18 - LeBron Sixers Fit Discussion 14:51 - LeBron's Usage and Impact 27:52 - Sixers Defensive Flexibility 33:52 - Best Fictional Characters Poll 43:50 - Phillies Second Half Preview

Zachary Smith discusses all things Pittsburgh Steelers. On today's episode, Nick Farabaugh of Penn Live joins the show. We discuss what a year 2 breakout would look like for Derrick Harmon, the best way for the team to utilize Jalen Ramsey, who the 6th DB on the field in dime looks will be, the ideal 5 on the offensive line and what defensive player is poised for a breakout under new DC Patrick Graham. Let's go for another Steelers Afternoon Drive and discuss all this! Learn more about your ad choices. Visit megaphone.fm/adchoices

Links: Why Amazon Has Dropped its Internal AI Usage Leaderboard   Be sure to follow us on our social media accounts on: LinkedIn: https://www.linkedin.com/company/the-audit-podcast Instagram: https://www.instagram.com/theauditpodcast TikTok: https://www.tiktok.com/@theauditpodcast?lang=en   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.

As so many large firms went all-in on AI over the past few years, policies to maximize employee AI adoption ranged from incentives to threats. Now, the Financial Times reports many companies are instead emphasizing quality over quantity, faced with both employee backlash and the rising costs of AI tokens. Calling AI leaderboards and policies tying performance reviews to AI usage "a really stupid way to do anything," a legal AI firm's CTO says staff should be rewarded "for being effective and efficient ... not for necessarily using AI.”

Send us Fan MailPricing AI is the hardest pricing problem in software right now, and most SaaS leaders are getting it wrong on the first try. In this episode of Navigating the Customer Experience, host Yanique Grant sits down with Dan Balcauski, founder of Product Tranquility, to unpack why the first AI price a company sets is always wrong, how to set usage caps when you have no historical data, and what smart B2B SaaS leaders do differently to turn pricing from a liability into a strategic advantage.Dan has spent more than 20 years in software, starting as an engineer before moving into product management and discovering that how a company captures value matters far more than how it builds the product. Today he advises B2B SaaS CEOs on the AI pricing and packaging decisions that keep them up at night, and in this conversation he shares the frameworks, the mistakes to avoid, and the practical playbook he uses with real companies.WHAT YOU WILL LEARN IN THIS EPISODEWhy the first AI price is always wrong, and why that has nothing to do with how smart your team or your consultants are. Dan explains the fundamental economic shift underway in software, where both sides of the pricing equation are moving at once. On the cost side, he points to a benchmark showing the cost per task for a top model dropping by roughly 390 times in a single year, a change no normal business ever absorbs in its cost of goods sold. On the value side, models keep getting more capable, handling this month what they could not handle last month. His research shows that every application layer software company he studied that released AI capabilities revised its pricing and packaging within 18 months. The lesson is not to price perfectly on day one. It is to build for change.How to set usage caps and pricing tiers with zero historical data. Dan frames the real problem plainly. You know what a token costs, but you have no idea what customers will actually do with a new AI feature. Products are full of features that barely got adopted, and AI features do not get to skip that step of the innovation cycle. On top of that, a small group of power users, often around 5 to 10 percent, can drive the overwhelming majority of usage and cost. That makes the tempting shortcuts unreliable. Using dashboard views as a proxy breaks down because good AI gets used far more than the dashboards it replaces, and a beta group rarely matches the usage profile of the full market.The early access playbook that sits between beta and general availability. Dan recommends a stage where companies announce their limits, put a price on the feature, and communicate it clearly, but do not enforce or meter it yet for a defined window that can run anywhere from six weeks to 18 months. This eases customer anxiety about surprise bills, encourages real adoption, and lets the company gather genuine usage patterns instead of guessing from proxies that break down.Why you should separate ordinary plan limits from fair use limits. Even when you are not metering usage, Dan explains, you can reserve the right to throttle or downgrade the rare customer using a capability a hundred or a thousand times more than the average, much like companies already do with API request limits. Those levers let teams keep experimenting during early access without the finance team panicking when the bill arrives.Why communication is where pricing changes succeed or fail. As Dan puts it, most pricing blowups come not from the change itself but from the fact that it was communicated poorly or not at all. Agility beats certainty, and reviewing pricing on a quarterly cadence beats the old annual or five year rhythm.This episode is essential listening for SaaS founders, product leaders, pricing strategists, and customer experience professionals who want to understand how AI is reshaping the economics of software and what to do about it before the market forces the decision for them.ABOUT DAN BALCAUSKIDan Balcauski is the founder of Product Tranquility, where he helps B2B SaaS CEOs turn pricing from a confusing liability into a strategic advantage. With more than 20 years in software, Dan began his career as an engineer before moving into product management and discovering that how companies capture value matters far more than how they build it. His work now centers on one of the most pressing questions in software today: how to price AI. Before founding Product Tranquility, Dan was a principal product strategist at SolarWinds and head of product at LawnStarter. He holds a BSc in computer engineering from Iowa State University and an MBA from the Kellogg School of Management at Northwestern, where he also helps teach executive education courses on product strategy. He is the host of the SaaS Scaling Secrets podcast.QUESTIONS YANIQUE ASKEDCould you share a little about your journey and how you got from where you were to where you are today? You have said the first AI price is always wrong. Why is that, and what should a SaaS company do differently knowing they are going to get it wrong the first time? So many companies are trying to set usage caps and pricing tiers for AI with zero historical data. How would you advise a CEO to make that decision when they are essentially flying blind? What is the one online resource, tool, website, or application that you absolutely cannot live without in your business? Can you share one or two books that have had a positive impact on you, professionally or personally? What is one thing going on in your life right now that you are really excited about? Do you have a quote or saying that keeps you on track during times of adversity? Where can listeners find and connect with you online?KEY TAKEAWAYSThe first AI price is always wrong, and that is not a failure of intelligence. It reflects a fundamental economic shift where both cost and value are moving fast. Every application layer company Dan studied revised its AI pricing and packaging within 18 months. Plan for revision, not perfection. Agility beats certainty. Review pricing on a quarterly cadence rather than annually or every five years. Communication is where pricing changes succeed or fail. Most blowups come from poor communication, not the change itself. Usage proxies break down. Dashboard views and beta groups rarely predict how customers will actually use an AI feature. A small group of power users can drive the majority of usage and cost, so average user assumptions are dangerous. Early access is the smart middle stage. Announce and price the limits, communicate them, but do not meter yet while you gather real data. Separate plan limits from fair use limits. Reserve the right to throttle extreme usage even when you are not metering everyone. Do not borrow problems from the future. Anxiety about what has not happened yet only adds problems to the present. AI is making custom, personal business software economically viable for the first time, opening the door to tools built exactly the way you work.CHAPTERS 00:00 Introduction and Guest Bio 01:51 Dan's Journey: From Engineer to Pricing Strategist 04:03 Learning That Pricing Is Different in Every Industry 04:49 Why the First AI Price Is Always Wrong 05:36 The 390x Cost Shift and the Moving Value Equation 06:49 Agility, Faster Pricing Reviews, and Communication 09:28 Setting Usage Caps With No Historical Data 11:32 Why Dashboard Proxies and Beta Groups Break Down 12:59 The Early Access Playbook Between Beta and GA 13:20 Plan Limits vs. Fair Use Limits 17:04 The One Tool Dan Cannot Live Without: Claude Code 17:38 Book Recommendation: Monetizing Innovation 18:31 Building Custom Business Software With AI 19:55 How to Connect With Dan Online 20:27 Dan's Guiding Quote: Don't Borrow Problems From the FutureFEATURED RESOURCESBook mentioned: Monetizing Innovation by Madhavan Ramanujam and Georg TackeTool mentioned: Claude Code, Dan's work surface and the engine behind his custom business softwareCONNECT WITH DANLinkedIn: Search Dan Balcauski on LinkedIn, and mention that you heard him on the podcast so he can separate you from the spamWebsite: producttranquility.comPodcast: SaaS Scaling Secrets, wherever podcasts are foundDAN'S GUIDING QUOTE"Don't borrow problems from the future." Dan BalcauskiDan explains that most of our anxiety is about things that have not happened yet. Worrying about a future scenario pulls that problem into the present before it ever arrives, giving you more to carry now for no reason. Like debt, it is borrowing against your future self. His practice is to stay focused on what is real and in front of him, which keeps him grounded when challenges or uncertainty threaten to pull him off track.ABOUT N

Laurence & Carmen explain how Ben Johnson's tight end usage is a key aspect to his unpredictability as a play-caller.

A structural shift is occurring as employees and customers increasingly bypass sanctioned IT systems in favor of faster, unsanctioned "shadow" tools that offer comparable or "good enough" functionality with less friction. This shift is highlighted through evidence from Gartner, SparkToro, Microsoft, and reports from Altran Digital Business, which collectively show sanctioned internal and customer-facing systems losing relevance as users opt for alternative solutions that optimize convenience and efficiency over formal governance. The most consequential development referenced is Microsoft's move to replace premium OpenAI and Anthropic models in core applications like Excel and Outlook with lower-cost in-house models, as reported by Bloomberg and Channel Insider. Microsoft claims these new models offer similar accuracy with increased efficiency, reflecting a broader market trend toward solutions that meet minimal functional thresholds at drastically reduced costs. This mirrors broader enterprise behavior, where cost and sufficiency now outweigh premium features, driving a reconsideration of value in AI provisioning. Supporting developments include a Gartner survey showing consumers are about three times more likely to use general AI tools like ChatGPT than corporate chatbots, and a report from Altran Digital Business revealing that over half of employees rely on personal devices or unauthorized tools for work, with nearly a third ceasing to report IT problems entirely. Clickstream data shows that more than two-thirds of Google searches end without a click as users accept AI summary answers, bypassing source links altogether. Vendors such as N-Able and Okta are responding with new products aimed at identifying and gating shadow tool usage, but these approaches often add operational friction without actually closing governance gaps, as Kaseya data indicates most SaaS accounts remain unmanaged despite existing controls. For MSPs and IT leaders, the key implication is that additional controls and "lockdown" measures are likely to increase friction without effectively steering users back to sanctioned processes. Current market tools that focus on visibility and gating of shadow IT may exacerbate the problem by making official workflows less attractive. The practical recommendation is to map where users have already abandoned sanctioned paths and focus on improving those official workflows until they are easily usable and competitive with shadow alternatives. The effectiveness of service delivery should be measured not by control metrics, but by whether users actively choose sanctioned systems for their work.   00:00 The quiet walkout  03:49 Even Microsoft picked good-enough 06:22 Why more control backfires 09:00 Why Do We Care?  Supported by:  Pax8   

Kevin and Cory analyze Jake Ferguson's target rate and read progression within the Cowboys' offense. They debate whether George Pickens, CeeDee Lamb, or Javonte Williams will lead the team in touchdowns while identifying training camp stock risers like Ryan Flournoy. The conversation also features a critical look at Jonathan Mingo's production and an injury update on Pirates rookie Konnor Griffin.

Mike & Tommy tackle the surprisingly tricky problem of tracking Power BI app usage at scale, exploring why app-level telemetry is harder to surface than report-level metrics and how teams can map usage back to districts using Entra ID, Admin APIs, and audit logs.They break down which telemetry sources are actually viable, how to avoid common pitfalls like audience filters hiding true reach and shared devices skewing counts, and lay out a scalable architecture for ~9,000 users across 70 districts built around a centralized semantic model with incremental refresh.Resources mentioned: Chicagoland Power BI Meetup, Fabric Runtime Release Channels, Deep Dive into Tooltip Options in Power BI VisualsGet in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

KJ Carson & Jon Lyons, filling in on a holiday Friday | July 3, 2026

KJ Carson & Jon Lyons, filling in on a holiday Friday | July 3, 2026

Let me walk you through a scenario. A voice actor gets an offer. Major food delivery brand. Session fee is $500. Buyout is $10,000. Usage is worldwide, all media, in perpetuity. Broadcast TV, streaming, social media, paid and organic, radio, in stores, stadium, cinema, email marketing, every platform, every country, forever. Is that a good deal? Not even close. Today I'm going to give you the math, the framework, and the language you need to have the buyout conversation without feeling like you're making up numbers or asking too much or too little. Session Fee vs Usage Fee These two things are important to distinguish because a lot of voice actors, especially newer ones, bundle them incorrectly. The session fee is what you get paid for your time in the booth. It compensates you for the recording session itself, your preparation, your studio, your performance. For a typical commercial session, session fees range from a couple hundred dollars to a couple thousand depending on the scope. For a major national brand, being at the low end of that range is usually a red flag. The usage fee, the buyout in a flat fee situation, is something completely different. This is not paying for your time. It's paying for access to your voice, your identity, your performance across platforms and time. It's the price of a license. And the value of that license scales with how broadly and for how long the client intends to use it. When a client asks for perpetual worldwide all media rights, they are not just buying the recording. They are locking your voice into their brand identity indefinitely. You can't relicense that usage. You can't adjust the price if they want to run it on the Super Bowl. You cannot renegotiate when the campaign runs for three years instead of six months. So the buyout price has to account for all that upside they're capturing. $10,000 for a Fortune 500 brand running a perpetual worldwide all media campaign is not accounting for it. How to Actually Value Usage Here is a framework that will give you a defensible starting point. It's not a substitute for a rate sheet or scale calculator, but it will get you in the right conversation. Step one is identify the scope. What media, what geography, what duration. Each of those variables multiplies the value. Local, three months, one platform is very different from global, perpetual, all platforms. Step two is consider the brand scale. A Fortune 500 company running a perpetual campaign is not the same as a small regional business running something for six months on local radio. The larger the brand and the broader the reach, the higher the floor. Step three is use the session fee as your anchor and multiply for usage. For local, limited use, maybe one to two times the session fee. For regional, one year, limited platforms, three to five times. For national, multi-platform, one year, eight to fifteen times. For global, all media, perpetual, you are in the twenty to sixty times range minimum for a major brand. So in the scenario I opened with, a $500 session fee for worldwide perpetual all media rights for a major brand, the usage fee should be somewhere in the $50,000 to $85,000 range. Not $10,000. They'll Just Go Hire Someone Else I know that's what's happening in your head right now. And yeah, sometimes they will. But when a major brand is running a perpetual worldwide campaign, they have a budget. They have an agency. The agency has rate cards. The $10,000 buyout they offered you is almost certainly not their max. It is their opening number. It's what they offer when they think they can get away with it. When you counter calmly and professionally with a number that reflects actual market value, one of a few things happens. They come up. Or they negotiate to limit the scope, maybe it's two years instead of perpetual. Or yes, in some cases they walk. And if they walk because you asked to be paid appropriately for a perpetual worldwide all media license, they were never a client you could build a sustainable business on. The voice actors who have long healthy careers are the ones who train themselves early to understand what their work is worth and how to ask for it. Not aggressive, not apologetic. Matter of fact, the way any other professional would quote a rate. The Language to Use Knowing the number is only half the battle. Here is what to say when you get an offer that doesn't match the scope of usage. Not "that's way too low." Not "whatever works for you." Something like: thank you so much for sending this over. I want to make sure we're aligned on the usage scope. For worldwide all media in perpetuity rights, my rate is X. If the scope is more limited I'm happy to adjust the quote accordingly. What flexibility is there on either the budget or the usage terms? That does three things. It treats the rate as a natural consequence of the scope, not a personal ask. It opens the door to negotiating the scope if the budget is fixed. And it invites a conversation instead of creating a standoff. You can also offer tiered options. For a two-year term with an option to renew I can come down to Y. For perpetual rights it's X. Giving them choices makes it easier to say yes to something. And if they say this is our standard rate, that is a negotiating position, not a fact. Standard rates are what gets offered. They're not what gets paid when the talent knows the market. The Bottom Line The buyout conversation is not confrontation. It's calibration. You're not asking for more than you deserve. You're asking for what a license of this scope is actually worth based on the market. Perpetuity. Worldwide. All media. Those are not boilerplate. Those are the most expensive words in the industry. Price them accordingly. You worked really hard to build a voice people want to use. Make sure you're getting paid for how much they want to use it. Want to Keep the Conversation Going? If you have questions about rates, contracts, negotiation, or your marketing strategy, reach out at mandy@actingbusinessbootcamp.com. I can't wait to hear what you're working on.

Predictable revenue creates predictable freedom. In this episode of The Level Up Podcast, Paul Alex breaks down why recurring revenue is one of the strongest business models for building stability, valuation, and long-term wealth. Let's be real… If every month starts at zero… And you have to chase every dollar all over again… You are not building peace of mind. You are building pressure. In this episode, you'll learn: Why one-time sales can create unstable cash flow How recurring revenue turns clients into long-term value Why subscriptions, retainers, and residual systems increase business stability How predictable income can raise your company's valuation and reduce financial anxiety The truth is simple: The goal is not just to make a sale. The goal is to build continuity. Monthly retainers. Subscription access. Usage-based billing. Maintenance packages. Residual income streams. Systems that create value every month and get paid every month. High-level operators do not want to restart from zero every thirty days. They engineer recurring revenue. They build retention. They automate billing. They make their service so valuable that clients cannot afford to cancel. Because when the baseline is secure… The business breathes easier. The founder thinks clearer. And the company becomes more valuable. Stop starting over every month. Build the recurring model. Lock in the clients. Secure the baseline. And keep leveling up. Your Network is your NETWORTH! Make sure to add me on all SOCIAL MEDIA PLATFORMS: Instagram: https://jo.my/paulalex2024Facebook: https://jo.my/fbpaulalex2024YouTube: https://www.youtube.com/channel/UCGhDAD1JyGGzSQUPD9lc9HQLinkedIn: https://jo.my/inpaulalex2024 Looking for a secondary source of income or want to become an entrepreneur? Check out one of my companies below to see if we can help you: www.CashSwipe.com FREE Copy of my book “Blue to Digital Gold - The New American Dream”www.officialPaulAlex.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Pitts sets the market Detroit must face The Atlanta Falcons just changed the tight end economy. They signed Kyle Pitts to a three-year, $54 million extension with $36 million guaranteed. It is the richest three-year deal ever for an NFL tight end. That number immediately matters to the Detroit Lions and Sam LaPorta. Recent comps drive negotiations. The Detroit Lions Podcast digs into what this means. By annual average value, George Kittle and McBride sit at the top tier. Pitts now lands at $16 million per year. The next band is where Detroit will hunt comps for LaPorta: Isaiah Likely at three years and $40 million with $26 million guaranteed, Mark Andrews at roughly $13.9 million per year, Dalton Schultz at $12.6 million, and Cole Kmet at $12.5 million. As much as Detroit likes LaPorta, he has been roughly in that neighborhood with Kmet. Will he take that number to stay in Detroit? Expect him to aim higher after the Pitts deal. Usage and value in Detroit's offense Context matters. McBride earned heavy usage in Drew Petzing's system in Arizona. That led many to assume a similar spike for LaPorta under Petzing in Detroit. It could happen, but the situations are different. McBride was the best player on that offense. In Detroit, LaPorta is not even the third-best offensive piece. Jahmyr Gibbs and Penei Sewell are central pillars. Jameson Williams offers higher peak plays even if the week-to-week is still building. That distribution of talent can cap volume and, in turn, price. LaPorta brings real value beyond catches. His blocking stacks up well, better than Pitts in this discussion. Pitts also aligns outside as a receiver often, while LaPorta plays a more traditional tight end role. Those distinctions will surface in negotiations as both sides frame what they are paying for. Numbers, guarantees, and timing A practical floor sits around Likely's deal: three years, $40 million, $26 million guaranteed. A target from the player side could be three years, $50 million with $35 million guaranteed. A logical counter from the team lands near three years, $48 million at $16 million per year. With the Lions, guarantees are the meat. Expect creative structure with void years to spread cap hits. That is how Detroit handles these mid-length veteran deals. Health will guide the calendar. LaPorta is working back from the back injury that ended last season. He was on the field last week but not yet full go. The staff also wants Brian Branch healthy and contributing. If that holds, do not expect an immediate extension. Training camp will be the first checkpoint. A more natural window sits near the bye or toward the end of summer. September 21 feels like a soft boundary. By then, Detroit should know LaPorta's role and output in Petzing's offense. The hard choice no one wants One prevailing viewpoint around the league is that if Detroit must let someone walk among pending extension candidates, tight end is the easiest to replace. That argument has merit on roster-building grounds. Even so, the intent is to keep LaPorta. Pitts' new deal just sharpened the pencil. Now the Lions must decide how far they will go to match it. #detroitlions #lions #detroitlionspodcast #samlaportacontract #kylepittsextension #tightendmarket #lionscontracts #overthecap #treymcbride Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week’s edition of Inside the (Rob) Parker, Rob discusses the streaking Chicago White Sox, Byron Buxton's All-Star starter candidacy, and the greatest father-son duos in MLB history. Plus, World Series champion Barry Larkin swings by, and MLB Network's Brian Kenny and Ron Darling debate Shohei Ohtani's usage rate with Professor Parker. Finally, we drop Rob's latest appearance on MLB Network, and reveal the eleventh installment of Rob’s Memory Lane series. Subscribe and download all of the latest Inside the Parker podcasts and follow Rob on Twitter!! #OddCoupleSee omnystudio.com/listener for privacy information.