Podcasts about ai training

We are revisiting the AI-copyright interplay for the first time in nearly three years. Copyright remains very relevant to our sphere of interest, not least because the EU AI Act specifically points at EU copyright law with regards to training data and transparency requirements for AI models.Malcolm Bain is an English solicitor and Spanish abogado. He has worked as an Information Technology and Intellectual Property lawyer over the last 20 years, with a specialisation in technology licensing, open source software and content, technology transfer and privacy. In 2006, together with his partner Manuel Martínez, he founded his own firm “id-law partners” as a boutique specialized in IP and ICT. In May 2018, both incorporated this firm into Across Legal.In addition to his professional activity advising entrepreneurs, private companies, public administrations and open source projects, Malcolm is a member of the Free Software Foundation Europe and ASTP, associate professor of law at the University of Barcelona, ​​mentor in Tecniospring Industry and other programs for entrepreneurs and frequent speaker at conferences and seminars in the field of ICTs and entrepreneurship in the digital world.References:* Malcolm Bain at Across Legal* Malcolm Bain on LinkedIn* Monkey selfie copyright dispute (Wikipedia)* Directive (EU) 2019/790 of the European Parliament and of the Council of 17 April 2019 on copyright and related rights in the Digital Single Market and amending Directives 96/9/EC and 2001/29/EC* Report on Copyright and Artificial Intelligence (UK Intellectual Property Office)* Stability AI largely wins UK court battle against Getty Images over copyright and trademark (AP News, November 2025)* US Copyright Office: Copyright Registration Guidance: Works Containing Material Generated by Artificial Intelligence (2023)* German Court Rules OpenAI Infringed Song Lyrics in Europe's First Major AI Music Ruling (November 2025)* Jakob Plesner: Copyright Exceptions for Generative AI (Masters of Privacy, October 2023).* (NOTE: The second part of this conversation was recorded in Spanish and is available in our separate Masters of Privacy ES channel.) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

Health data affects artificial intelligence in important ways. Camille Nebeker, Ed.D., M.S., UC San Diego, explains why ethically sourced data is foundational to building trustworthy, AI-ready health data repositories. Nebeker examines how ethical sourcing applies across the full data lifecycle, including consent, governance, transparency, data quality, privacy, stewardship, and community engagement. She also shows how ideas from supply chain management and value sensitive design help teams identify ethical tensions and improve decision-making. This work helps explain why ethics cannot be added at the end of AI development and points toward more accountable data practices that support public trust and stronger downstream performance. Series: "Exploring Ethics" [Science] [Show ID: 41368]

Health data affects artificial intelligence in important ways. Camille Nebeker, Ed.D., M.S., UC San Diego, explains why ethically sourced data is foundational to building trustworthy, AI-ready health data repositories. Nebeker examines how ethical sourcing applies across the full data lifecycle, including consent, governance, transparency, data quality, privacy, stewardship, and community engagement. She also shows how ideas from supply chain management and value sensitive design help teams identify ethical tensions and improve decision-making. This work helps explain why ethics cannot be added at the end of AI development and points toward more accountable data practices that support public trust and stronger downstream performance. Series: "Exploring Ethics" [Science] [Show ID: 41368]

Health data affects artificial intelligence in important ways. Camille Nebeker, Ed.D., M.S., UC San Diego, explains why ethically sourced data is foundational to building trustworthy, AI-ready health data repositories. Nebeker examines how ethical sourcing applies across the full data lifecycle, including consent, governance, transparency, data quality, privacy, stewardship, and community engagement. She also shows how ideas from supply chain management and value sensitive design help teams identify ethical tensions and improve decision-making. This work helps explain why ethics cannot be added at the end of AI development and points toward more accountable data practices that support public trust and stronger downstream performance. Series: "Exploring Ethics" [Science] [Show ID: 41368]

Health data affects artificial intelligence in important ways. Camille Nebeker, Ed.D., M.S., UC San Diego, explains why ethically sourced data is foundational to building trustworthy, AI-ready health data repositories. Nebeker examines how ethical sourcing applies across the full data lifecycle, including consent, governance, transparency, data quality, privacy, stewardship, and community engagement. She also shows how ideas from supply chain management and value sensitive design help teams identify ethical tensions and improve decision-making. This work helps explain why ethics cannot be added at the end of AI development and points toward more accountable data practices that support public trust and stronger downstream performance. Series: "Exploring Ethics" [Science] [Show ID: 41368]

A lot of writers hear the word "training" and picture a conference room full of strangers, a slide deck, and a formal curriculum. That's not what I'm talking about here. The training opportunity most freelancers are sitting on is much smaller, much more personal, and already happening inside your existing client relationships. You're just doing it for free, and you probably haven't recognized it for what it is. In this episode, I break down what AI training actually looks like at the freelancer level: one-on-one coaching with a key contact, a focused small-team engagement, an ongoing embedded arrangement. And I spend real time on the objection that stops most writers before they even get started: "I don't know enough to teach anyone." The knowledge gap between you and your clients is bigger than you think. And the clients who need this help most aren't looking for a guru. They're looking for someone a few steps ahead who already knows them and their business. What You'll Learn Why the training work you're already doing informally is worth real money What a realistic training engagement looks like at the freelancer level, from a simple coaching series to a small team workshop Why you don't need to be an AI expert to deliver real value to your clients right now How to think about pricing when you're selling a transformation, not hours Why training engagements have a natural tendency to open doors to other, deeper work with the same client What to say to a current client to start this conversation without it feeling like a pitch Key Ideas & Takeaways 1. You're already doing this work. If you've ever spent time on a call walking a client through an AI tool, troubleshooting their outputs, or explaining why their results came out generic, that's training. You've been delivering it informally for free. The move is to recognize it, name it, and package it as a real engagement. 2. Training doesn't mean a room full of strangers. At the freelancer level, training usually means one key contact at a client you already know, or a small team of two to four people. It's focused, practical, and built around their specific tools and content types. A coaching series of four to six sessions is a perfectly complete engagement. No slide deck required. 3. You don't need to be an expert. To a third grader, an eighth grader is a really big, smart kid. You don't need to know everything about AI. You need to know more than your client does right now, and for most of your clients, that bar is lower than you think. What makes you specifically valuable isn't generic AI knowledge. It's your understanding of their content, their industry, and what good looks like for them. 4. Price toward the outcome, not the hours. A training engagement isn't worth your hourly rate times the number of sessions. It's worth the value of the transformation you're helping the client achieve: time saved, quality improved, risk reduced. Start by asking what it's worth to your client to have a reliable, on-brand AI workflow in place. Then price toward that number. 5. Training gets you closer to the work. When you're embedded in a client's process, you see things you wouldn't see from the outside: where quality control is breaking down, where the content strategy is unclear, where editorial judgment is missing before content ships. That proximity naturally surfaces new ways to help, without any pushing required. Action Steps Think of one current client who has asked you AI-related questions in the last few months. That's your starting point. Write down what you've already been helping them with informally. That's the foundation of your first training offer. Sketch out what a four to six session coaching series would look like for that client, built around their specific content types and workflows. Think through the outcome: what would it be worth to that client to have a reliable, on-brand AI process in place? Use that to anchor your pricing. Draft one paragraph describing the offer in plain language: what it covers, how long it runs, what the client walks away with. Keep it simple and concrete. Have one conversation. Tell a current client you've noticed they've been asking AI questions and ask if it would be useful to formalize that a bit.

Ed Zitron, Scott Galloway und Gary Marcus warnen vor dem AI-Crash. Wie ernst muss man sie nehmen? ChatGPT knackt die Milliardenmarke an monatlichen Nutzern, OpenAI Codex meldet 5 Millionen Weekly Active Users mit sechsfachem Wachstum gegenüber Februar. WSJ enthüllt: Auf Sam Altmans Vorschlag erwägt die US-Regierung finanzielle Beteiligungen an den großen KI-Firmen. Anthropic erweitert sein Mythos-Programm auf 150 Organisationen weltweit. FT berichtet, dass die NSA Mythos jetzt offensiv für Hacking nutzt. Meta begrenzt sein Mitarbeiter-Überwachungstool nach Belegschafts-Backlash und launcht zeitgleich AI-Agents für WhatsApp Business. Google kauft heimlich Code von Play-Store-Entwicklern fürs AI-Training. Alibaba Qwen 3.7+ kommt multimodal zu einem Bruchteil der westlichen Preise. S&P 500 hält an Profitabilitätsregeln fest, keine Aufweichung für SpaceX. Morningstar bewertet SpaceX bei nur $780 Mrd., der Hälfte des IPO-Ziels. Alphabet erhöht seine Kapitalmaßnahme auf $85 Mrd., das größte Equity-Offering der Geschichte. Anthropic warnt vor Recursive Self-Improvement. Meta hat heimlich Gesichtserkennung in die Smart Glasses eingebaut. Peter Thiels Founders Fund startet ein YouTube-Format mit Tech-CEOs als Mafia-Spielern. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) AI-Bären-Debatte (00:34:54) ChatGPT 1 Mrd. Nutzer & Codex bei 5 Mio. WAU (00:44:16) US-Regierung will Stake an AI-Firmen (00:47:35) Anthropic dehnt Mythos Access aus (00:49:27) NSA nutzt Anthropic Mythos offensiv für Hacking (00:53:50) Meta limitiert Mitarbeiter-Tracking nach Backlash (00:56:16) Google kauft Play-Store-Code für AI-Training (01:00:40) Alibaba Qwen 3.7+ zum Spotpreis (01:02:07) SpaceX-IPO konkret: $135/Aktie, Trade Republic (01:05:56) S&P 500 bleibt hart, kein Frühzugang für SpaceX (01:08:53) Morningstar halbiert SpaceX auf $780 Mrd. (01:12:24) Alphabet raised $85 Mrd. (Rekord-Equity-Offering) (01:19:01) Anthropic Recursive Self-Improvement (01:24:43) Meta Smart Glasses mit heimlicher Gesichtserkennung (01:26:07) Mafia: The Game von Founders Fund Shownotes Ed Zitron Bloomberg Podcast - youtube.com Ed Zitron: Anthropics Profitability Swindle - wheresyoured.at Scott Galloway: 95% der KI-Investments ohne Return, 50-70% Korrektur in 24 Monaten - the-ai-corner.com ChatGPT-App knackt 1 Mrd. monatliche Nutzer in Rekordzeit - reuters.com OpenAI launcht Codex for Knowledge Work - openai.com US-Regierung diskutiert Beteiligungen an AI-Firmen - wsj.com Anthropic to expand Mythos access - ft.com Uber begrenzt Claude-Code-Nutzung, um Kosten zu sparen - bloomberg.com Snowflake-CIO: Layoffs als Druckmittel, damit Mitarbeiter KI nutzen - theinformation.com Metas AI-Agent für WhatsApp Business weltweit verfügbar - techcrunch.com Meta rollt Mitarbeiter-Tracking-Tool nach Belegschafts-Backlash zurück - theinformation.com US National Security Agency using Anthropic's Mythos for cyber attacks - ft.com Google kauft heimlich Code von Play-Store-Entwicklern fürs KI-Training - 404media.co Alibaba Qwen3.7+: Text, Video, Bilder ab $0,40-$1,60 pro Mio. Token - venturebeat.com SpaceX will $75 Mrd. im Rekord-IPO einsammeln - bloomberg.com Morningstar bewertet SpaceX bei $780 Mrd., nur die Hälfte des IPO-Ziels - reuters.com Wild Twist: SpaceX kommt doch nicht früh in den S&P 500 - marketwatch.com Sitecore übernimmt Scrunch für $225 Mio. - bloomberg.com Alphabet raised $85 Mrd. für AI: größtes Equity-Offering aller Zeiten - thenextweb.com GitLab cuttet 14% der Belegschaft für AI-Workload-Skalierung - techcrunch.com CrowdStrike Q1 2027 Earnings - cnbc.com Anthropic Institute: Recursive Self-Improvement - anthropic.com Anthropic fordert globale KI-Entwicklungspause wegen Self-Improvement-Risiko - wsj.com Meta-Smart-Glasses mit Gesichtserkennung und Nametag - wired.com Tech Celebrities Playing Mafia - newcomer.co

In this episode of FP&A Unlocked, Paul Barnhurst sits down with David Dors to explore how artificial intelligence, particularly Claude, is transforming the future of FP&A. David shares his journey from banking and FP&A into finance transformation, where he now helps finance teams implement AI-powered workflows, automate repetitive processes, and rethink how work gets done in the Office of the CFO. David Dors is a finance transformation consultant and AI educator specializing in helping finance teams adopt Claude, AI agents, and workflow automation. After beginning his career in banking and FP&A, David shifted his focus to helping finance professionals use AI to improve reporting, analysis, forecasting, and decision-making. Through workshops, training programs, and content creation, he teaches finance teams how to build AI-powered systems that save time and allow analysts to focus on higher-value strategic work. Expect to Learn:How AI is changing the future of FP&APractical ways to automate reporting and recurring finance tasksThe difference between Claude Chat, Claude Code, and AI agentsWhy finance professionals should think of AI as a digital teammateKey skills FP&A professionals need in an AI-driven worldHere are a few relevant quotes from the episode:"Every forecast, variance analysis, or deck you build should help somebody make a different decision." – David Dors"If nothing changed from the analysis you're providing, there's not much value in what you're doing every day." – David DorsDavid explains how finance teams can use AI to eliminate repetitive work, improve efficiency, and spend more time supporting business decisions. He also shares his perspective on the future of FP&A, where professionals will increasingly manage AI agents that handle routine tasks and reporting. non-traditional organizations. Follow Dave:LinkedIn: https://www.linkedin.com/in/daviddors/Website: https://vantagepointconsulting.com/ Earn Your CPE Credit For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, answer a few questions, and earn your CPE certification. To earn education credits for the FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In Today's Episode[00:00] – Trailer[04:13] – Discovering Claude[10:27] – AI Training for Finance Teams[15:19] – Skills & AI Agents[18:13] – AI Productivity Gains[22:23] – Quick AI Wins in FP&A[25:23] – AI Accuracy & Validation[28:29] – Automating Reporting[32:35] – The Future of FP&A[39:01] – Excel Lessons Learned[42:57] – Final Thoughts

How do you stay in control of AI while still benefiting from everything it can do? As AI becomes more powerful, many leaders are focused on getting AI to do more work. But perhaps the better question is: How do you make AI more effective without letting it influence your thinking, your brand, or your business direction? In this episode of Grounding AI, Donna Peterson explores why leaders must remain the decision-makers while using AI as a tool to strengthen expertise, deepen customer relationships, and improve business outcomes. You'll learn why AI should enhance your knowledge rather than replace it, how to train AI around your company's goals and values, and the questions every leader should ask before using AI-generated recommendations. If you're responsible for marketing, sales, leadership, customer relationships, or business strategy, this episode offers practical guidance for maintaining control while leveraging AI effectively. In This Episode: Why AI naturally influences decisions and direction The difference between getting AI to do more and getting AI to be more effective How leaders can maintain ownership of their expertise Why your brand voice must remain stronger than AI suggestions The importance of building AI libraries and organizational knowledge Questions to ask before every AI prompt How to keep customer relationships at the center of AI adoption A simple test to determine if AI is helping or leading your business Key Takeaway Before every prompt, ask yourself: What am I trying to accomplish? Why does it matter to my audience? What action do I want people to take? Does this align with our company values and goals? The more direction you provide, the more valuable AI becomes. Connect With World Innovators // Website: www.worldinnovators.com Subscribe for weekly conversations on AI, leadership, trust-building, marketing strategy, and practical business growth. *** Reach out to dpeterson@worldinnovators.com if you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

AI Training app looking for homes to clean… Google employee arrested for insider trading… Inmate steals millions while in jail now on the run… Google wants to release mosquitoes in California and Florida… Happy Birthday to Mya and Marilyn… Pride Month and Hurricane Season it is… Email: ChewingTheFat@theblaze.com [http://www.blazetv,com/jeffy]www.blazetv,com/jeffy Save $20 on an annual subscription Trouble in Bunker City South Dakota… Eric suffers from Auto Brewery Syndrome… Who Died Today: Joe Negri 99 / Ronald LaPread 75 / Maria Lucas 80… Heinz Ketchup and The Label of Truth… George Pickering saved sons life right or wrongly… Joke of The Day… Learn more about your ad choices. Visit megaphone.fm/adchoices

A sharp spike up to 6% for the Producer Price Index has podcast host Gene Marks expressing concern over the pending price hikes for goods for the remainder of 2026. He offers some suggestions to help employers and their employees. As the World Cup soccer tournament nears its start in North America, one U.S. host city's restaurant group is proposing a mandatory tip percentage so staff don't get stiffed by visitors from non-tipping cultures. And Anthropic launches Claude for Small Business, which Gene notes is a great way to help implement AI. Listen to the podcast.   Topics: 00:00 – Introduction 00:51 – Producer Price Index Spikes 03:50 – Tipping Proposal for World Cup Events 06:48 – AI Training by Claude for Small Business 09:24 – Episode Wrap-up Additional Resources Meet Paychex: https://bit.ly/3VtM6bs DISCLAIMER: The information presented in this podcast, and that is further provided by the presenter, should not be considered legal or accounting advice, and should not substitute for legal, accounting, or other professional advice in which the facts and circumstances may warrant. We encourage you to consult legal counsel as it pertains to your own unique situation(s) and/or with any specific legal questions you may have.

Segment 1: Tom Gimbel, job expert and founder of LaSalle Network, joins Jon Hansen to talk about why AI should be part of every curriculum in high school and college. Segment 2: Katie Simpson, Central Regional Executive for the U.S. Bank Institutional Client Group, joins Jon Hansen to talk about a recent survey of CFO’s that shows sentiment […]

Kill Negative Thoughts ASAP! What's SHE Up To Now Day 3029? Supersize Challenges, Skool Launch, AI Training... Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersizeannualchallenges #doonethingeverydaytosupersize #supersizemastermind #supersizeyouannualchallemastermind #figureitout #lessonslearned Get more SUPERSIZE wisdom here: https://www.skool.com/supersize-your-business-1654/about

AI is everywhere right now, but most businesses are struggling to actually use it well. Many teams attend a training, feel overwhelmed, and then go right back to old habits. Why is that? And what actually works if you want AI adoption to stick? We asked today's guest, Dana Rozier. She shares all you need to know about effective AI training. Dana Rozier is the founder of Nova Consulting AI, where she helps non-technical leaders and small teams adopt AI with confidence.  With a background in teaching and curriculum development, she specializes in making complex technology simple and practical.  Dana focuses on building AI literacy and helping organizations create the right conditions for AI to truly succeed. Read more: https://strategicsalesqueen.com/ai-training-what-actually-succeeds/Support the showCheck out Strategic Sales Queen for more great interviews, podcasts, and blogs to help you achieve more, faster!https://www.strategicsalesqueen.com/​

Most people jump into AI too quickly. They open ChatGPT, type a question, and expect a perfect answer immediately. But when the response feels too broad or generic, they assume AI simply does not work for them or their industry. In this episode of Grounding AI, Donna Peterson shares why better AI results actually begin before the prompt itself. After presenting and moderating AI roundtables at the Women in Finishing Forum, Donna noticed a common pattern. Whether people were brand new to AI or using it every day, many were still unsure if they were using it effectively. This episode walks through four important questions every leader and team member should ask before using AI tools: Why do I want to use AI? What do I want to use it for? What goals should this support? How will I use AI collaboratively instead of treating it like a search engine? Donna also explains: Why AI works best as a conversation How to get more personalized and industry-specific responses Why relationship-building should still stay at the center of communication How to guide AI without letting it take your work in the wrong direction A simple exercise that can dramatically improve your prompts immediately If AI responses have ever felt too generic, this episode will help you rethink how you approach prompting and collaboration. Action Step: Before your next prompt, write this sentence first: “I want to use AI to help me __ so I can __.” Then continue asking questions until the response truly aligns with your goals. !! Listen and Subscribe!! If this episode helped you think differently about AI, please leave a review, share the episode, and subscribe to Grounding AI for more practical conversations about leadership, AI, and business growth. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

A new Executive Order from the White House aims to expand participation in retirement savings for lower-income workers, which brings supporters and critics. It also looks to connect these IRAs to the Saver's Match for eligible recipients. Gene Marks highlights this in this episode of the Week in Review, along with a possible new course for the Federal Reserve to map out rate hikes that could impact funding options. Plus, national outlets such as the U.S. Chamber of Commerce are sponsoring free AI training sessions to small businesses. Listen to the podcast. Topics: 00:00 – Introduction 01:00 – Executive Order on retirement accounts 04:38 – Federal Reserve maps out rate changes 07:59 – Free AI training being offered 10:15 – Episode Wrap-up Additional Resources Meet Paychex: https://bit.ly/3VtM6bs Free AI training: https://bit.ly/ai-training-for-free DISCLAIMER: The information presented in this podcast, and that is further provided by the presenter, should not be considered legal or accounting advice, and should not substitute for legal, accounting, or other professional advice in which the facts and circumstances may warrant. We encourage you to consult legal counsel as it pertains to your own unique situation(s) and/or with any specific legal questions you may have.

This Day in Legal History: Chinese Exclusion ActOn May 6, 1882, President Chester A. Arthur signed the Chinese Exclusion Act into law. The law imposed a 10-year ban on the immigration of Chinese laborers to the United States. It also made Chinese immigrants already in the country ineligible for naturalized citizenship, marking a major turn toward federal immigration restriction. The National Archives describes it as the first significant U.S. law restricting immigration and notes that it targeted an ethnic working group on the theory that it threatened public order.The law grew out of anti-Chinese racism and labor anxiety, especially in the American West, where Chinese workers were blamed for low wages and job competition. Although the Act formally applied to “Chinese laborers,” its enforcement burdened many Chinese people seeking entry, including those who claimed exempt status. The National Archives notes that the law helped create a broader framework for later race- and class-based exclusionary immigration policy.The Act was not temporary in practice. Congress extended it through the Geary Act of 1892, later made the exclusion regime permanent, and did not repeal the ban until 1943, during World War II, when the United States and China were allies.OpenAI president Greg Brockman testified in federal court that Elon Musk once supported changing OpenAI from a nonprofit into a for-profit company, but wanted full control of the organization as part of that shift. Brockman said Musk believed the nonprofit model could not raise enough money to build advanced AI systems. According to Brockman, Musk also said he needed an $80 billion stake to help fund a self-sustaining city on Mars. Brockman described a tense 2017 meeting where Musk allegedly rejected a proposed equity structure, became angry, took a painting made for him by Ilya Sutskever, and left while threatening to pause funding.Musk's lawsuit claims OpenAI and Sam Altman misled him into donating $38 million to a nonprofit that later abandoned its charitable mission in favor of profit. Musk is seeking $150 billion in damages for the nonprofit and wants Altman and Brockman removed from leadership. OpenAI argues that Musk is upset because he left before the company became highly successful and is now trying to gain control while also advancing his own AI company, xAI. Brockman also faced questions about his own financial interests, including testimony that his OpenAI stake is worth nearly $30 billion and evidence of an old diary entry about reaching $1 billion. OpenAI later created a for-profit unit controlled by the nonprofit, which helped it raise massive sums for computing power, hiring, and expansion.Musk wanted $80 billion to colonize Mars, OpenAI president testifies at trial | ReutersPublishers Elsevier, Cengage, Hachette, Macmillan, and McGraw Hill, along with author Scott Turow, sued Meta in federal court in Manhattan over its AI training practices. The lawsuit claims Meta used millions of copyrighted books and journal articles without permission to train its Llama large language models. The works allegedly included textbooks, scientific publications, and novels, such as books by N.K. Jemisin and Peter Brown. The publishers are seeking class-action status so they can represent a broader group of copyright owners. They are also asking for monetary damages.Meta responded that AI training can qualify as fair use and said it plans to fight the case. The publishers argue that using allegedly pirated copies of creative and scholarly works is not the same as lawful innovation. The case joins a growing wave of lawsuits by authors, news organizations, artists, and other creators against AI companies, including Meta, OpenAI, and Anthropic. These lawsuits largely turn on whether using copyrighted works to train AI models is legally protected because the resulting systems create something new and transformative. Courts have not yet settled the issue, and early rulings have pointed in different directions. Anthropic previously resolved one major author lawsuit for $1.5 billion, showing how financially significant these disputes can become.Major publishers sue Meta for copyright infringement over AI training | ReutersThe U.S. Supreme Court allowed its recent Louisiana voting-rights ruling to take effect earlier than usual, clearing the way for political and legal consequences before the November midterm elections. The Court's April 29 decision had struck down a Louisiana congressional map that created a second Black-majority district. That ruling weakened a major part of the Voting Rights Act by limiting challenges to maps that allegedly dilute minority voting power. Normally, the Supreme Court waits 32 days before issuing its formal judgment, giving the losing side time to seek rehearing. Here, the Court agreed to speed up the process after a request from the voters who had won the case.The move helps Louisiana Republicans pursue a new congressional map and may weaken lawsuits challenging Governor Jeff Landry's decision to delay the state's May 16 congressional primaries. Some challengers had argued that Landry acted too soon because the Supreme Court's ruling had not formally taken effect yet. Justice Ketanji Brown Jackson dissented, saying the Court's accelerated action had created disorder in Louisiana. The case is part of a broader national fight over redistricting, especially as both parties seek advantages in House races. The dispute began after Louisiana drew a second majority-Black district in 2024 to address a prior court ruling that the old map harmed Black voters under the Voting Rights Act. The Supreme Court later held that the replacement map relied too heavily on race, violating equal protection principles.US Supreme Court lets Voting Rights Act ruling take effect ahead of schedule | Reuters This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

Plus: PayPal to cut 20% of staff. And shares of Palantir slide despite record quarterly revenue and profit. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Cover at https://flic.kr/p/2sbcLSo that shows my working notes.Key terms in tomorrow's session: frameworks, PKM as part of digital transformation, the 4P protocol, and the GCAO prompt framework. Context is key.Become a supporter of this podcast: https://www.spreaker.com/podcast/topgold-audio-clips--2663090/support.

Mary Gabrielyan, Chief Strategy Officer at AI Digital, joins Ari Paparo to learn about AI-driven supply path optimization, value-based bidding, media planning, and the future of ad tech. Insights on AI adoption, training gaps, and what skills will remain human. Takeaways AI Digital is an AI-native media consultancy built on machine learning and now evolving with generative AI and LLMs. The company offers managed services, smart supply curation, and AI Labs for client transformation and training. Elevate, their platform, provides end-to-end campaign management, including research, planning, reporting, and MMM insights. True AI-powered supply path optimization should be predictive and real-time, not just based on historical data. The industry is shifting from metric-based optimization (CPM, CTR) to value-based, outcome-driven AI bidding. AI-driven ad curation is evolving toward dynamic, real-time inventory optimization rather than static deal packaging. LLMs improve contextual targeting by understanding semantics, not just categories or keywords. Companies are underinvesting in AI training and tool adoption, limiting their ability to fully benefit from AI. Human skills like intuition, taste, empathy, and authenticity remain irreplaceable in an AI-driven world. Chapters 00:00 Introduction & Guest Overview 00:28 What is AI Digital? 01:21 Core Services: Managed Service, Smart Supply & AI Labs 02:07 Inside Elevate: AI-Powered Media Intelligence Platform 03:00 Target Customers & Market Positioning 03:41 How Elevate Works: Research, Planning & Reporting 05:26 AI in Supply Path Optimization (SPO) 06:40 Reactive vs Predictive AI in Programmatic Supply 08:25 AI Optimization: Metrics vs Outcomes 09:26 Value-Based AI Bidding Explained 10:14 AI in Ad Curation & Programmatic Future 11:20 Dynamic Curation & Real-Time Inventory Optimization 11:58 Contextual AI & Semantic Targeting with LLMs 13:31 Client Reactions to AI: Fear vs Adoption 13:58 AI Training & Talent Gaps in Organizations 14:27 Will AI Replace Jobs? Skills That Still Matter 15:09 Human Advantages: Intuition, Taste & Empathy 16:51 Lightning Round: Competitive Edge & Challenges 17:46 Fun Question: If AI Digital Were an Animal Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Business Brain, it’s FridAI and Shannon Jean and Dave Hamilton are putting Anthropic’s brand-new Claude Cowork through its paces — using it with a Manager to handle real workflow delegation. If you’ve been wondering how AI agents actually fit into your day-to-day operations (instead of just answering chat questions), you’ll get a front-row look at what this tool can do and where it shines for entrepreneurs trying to multiply their output without multiplying their headcount. Then the guys dig into AI training resources from your local Small Business Development Center, including how to get found in the age of AI and lean into AI-driven content creation. Free help from people who actually want you to win? That’s the kind of resource that turns a side hustle into the Charmed Life. Tune in, take notes, and pick one AI play you can run before Monday. 00:00:00 Business Brain – The Entrepreneurs' Podcast #749 for Casual FridAI, May 1, 2026 May 1st: National Executive Coaching Day (and also National Phone In Sick Day) 00:01:12 Claude Cowork with a Manager 00:09:22 SPONSOR: Intuit QuickBooks Payroll is evolving beyond pay runs to support how you hire, onboard, manage, and retain your team. Learn more by visiting https://QuickBooks.com/workforce 00:10:38 Small Business Development Centers Get found in the age of AI from SBDC AI Driven Content Creation 00:15:47 Business Brain 749 Outtro Check out Business Brain Blueprints Tell Your Friends! 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 Training + Claude Cowork – Business Brain 749 appeared first on Business Brain - The Entrepreneurs' Podcast.

In this episode, we discuss Musk's admission about Grok's training on OpenAI. We also analyze the implications of Anthropic's $900 billion fundraising goal. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Dawn Gagye joins Charli on the Pod this week to talk AIMost founders do not need more ideas. They need better structure around the growth already happening in the business. Dawn Gagye is a Fractional CMO, strategic advisor, keynote speaker, and WSI certified AI consultant. Dawn helps CEOs and founders of growing U.S. businesses build stronger marketing systems and adopt AI in practical ways that support the business instead of distracting from it. The companies she works with usually are not starting from scratch. They already have momentum, a team, and real revenue. But as the business grows, things get harder to hold together. Marketing feels disconnected. Reporting is inconsistent. Teams are busy, but not always aligned. And AI keeps showing up as something important, even though no one has time to sort through the noise. That is where Dawn comes in. Dawn helps leaders simplify growth by creating stronger structure behind the scenes: clearer strategy, better marketing systems, improved accountability, and practical AI adoption that saves time and reduces friction. Dawn believes AI should make a business more effective, not more complicated. The goal is not to add another layer of tools. The goal is to help leaders and teams work smarter, make better decisions, and create more leverage across the organization. With 25+ years in strategy, Dawn helps businesses turn complexity into clarity and growth into something more sustainable. Based in Birmingham, Alabama and serving clients coast to coast.Find us @EmpoweringPumps on Facebook, LinkedIn,  Instagram and Twitter and using the hashtag #EmpoweringIndustryPodcast or via email podcast@empoweringpumps.com

Welcome to this week's episode of the PEBCAK Podcast!  We've got four amazing stories this week so sit back, relax, and keep being awesome!  Be sure to stick around for our Dad Joke of the Week. (DJOW) Follow us on Instagram @pebcakpodcast   Please share this podcast with someone you know!  It helps us grow the podcast and we really appreciate it!   Simple 6 signup link https://simple6.co/r/CFUR98   CISA orders immediate patching for Windows Defender Zero Day https://www.bleepingcomputer.com/news/security/cisa-orders-feds-to-patch-microsoft-defender-flaw-exploited-in-zero-day-attacks/ https://x.com/k1rallik/status/2044844102127165912?s=20    Ransomware negotiator pleads guilty to helping ransomware gangs https://www.bleepingcomputer.com/news/security/former-ransomware-negotiator-pleads-guilty-to-blackcat-attacks/   Hairdryer used to win Polymarket bet https://www.engadget.com/big-tech/someone-allegedly-used-a-hairdryer-to-rig-polymarket-weather-bets-155312411.html  https://www.cnbc.com/2026/04/23/doj-soldier-polymarket-bets-venezuela-maduro.html   Apple patches Signal notification bug https://www.bleepingcomputer.com/news/security/apple-fixes-ios-bug-that-retained-deleted-notification-data/   AI is training on data from dead companies https://www.forbes.com/sites/annatong/2026/04/16/ais-new-training-data-your-old-work-slacks-and-emails/   Best NES games https://nekorandom.com/2022/07/04/fun-fact-why-mike-tyson-was-replaced-in-punch-out/   Dad Joke of the Week (DJOW)   Find the hosts on LinkedIn: Chris - https://www.linkedin.com/in/chlouie/ Brian - https://www.linkedin.com/in/briandeitch-sase/ Glenn - https://www.linkedin.com/in/glennmedina/

James Lawless, Minister for Further and Higher Education, Research, Innovation, and Skills, on the launch of the Government's national AI skilling programme.

Jaeden and Conor celebrate the groundbreaking results from a six-month study conducted by Microsoft that demonstrated how training with AI Mindset significantly enhanced employee productivity. Conor shares insights into the study's methodology and reflects on the broader implications for organizations looking to harness the power of AI effectively.Watch on YouTube: https://youtu.be/oUDnAs-RdhcGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustleChapters:00:00 Introduction to AI Mindset and Microsoft Study05:25 Results from the Microsoft Study09:14 Transforming Organizations with AI Mindset12:59 Encouraging AI Adoption in the Workplace See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Spotify is... selling books? Spotify has been in the audiobook business for two years, now operating in 22 markets with 700,000 titles to listen to. They say users want a 'multi-format reading experience' which allows them to go from listening to being able to pick up a real book. Their 'Page Match' feature allows you to take a photo of that page of the book to instantly jump to the audio version, or vice versa. In the US and UK, they'll now offer you the opportunity to buy the physical book right in the app. What's old is new again, I guess? Old business data is turning into a gold mine for AI There are now startups who help a company shut down with all the classic things —payroll, government filings, etc— and then also create assets out of the 'operational exhaust' of these now defunct companies. Old documents, presentations, slack conversations, and email archives can all be used to train new AI models. This way, the data reflects real people, the way they interact, and makes the agents more personable and informed. Additionally, all this data can then be turned into 'reinforcement learning gym' which allows AI companies to test how their latest models would work in a financial services firm, or a SaaS business, etc. LISTEN ABOVE See omnystudio.com/listener for privacy information.

Jay and Seth dive into the "victimization" of the customer experience, using Jay's recent medical procedure as a cautionary tale for law firms that over-promise and under-communicate. Seth breaks down why Jeff Bezos and One Medical are the future of service standards, while Jay reveals his latest breakthrough: AI Training Avatars. This new tool allows intake trainees to practice on 100 unique AI-generated cases before ever touching a live client call. Is your front desk "guessing" their way through client questions? #LawFirmBlueprint #ClientExperience #LegalAI #IntakeTraining #LawFirmManagement #OneMedical #LegalTech #GoodToGreat

What if the expertise that built foundation models could reshape how you think about AI's future? In this episode, Benjamin sits down with Soumya Batra, founder and CEO of WisePort AI and former safety lead on Llama 2 and Llama 3 at Meta, to explore how foundation models evolved from traditional NLP, why post-training holds the highest leverage for safety and controllability, and what natively agentic AI means for the next frontier of AI development. Whether you're curious about the model training lifecycle or wondering what comes after large language models, this conversation unpacks the technical strategies and vision shaping tomorrow's AI systems.

Today I want to give you a peek into the huge topic of “building AI literacy.” We work with hundreds of companies and vendors that offer many types of training so I wanted to give you an overview. This is a fast-changing topic because there's a raging debate about what “skills” AI users need (ie. complex thinking? business acumen?). I do know AI learns from language so if you can't put your needs or wishes into logical statements, you won't get the most out of AI. But, as I explain, there are a range of other issues as well. I also discuss how we teach people about bias, risk, auditability, data quality, tuning, and how “vibe coding” is a bit more complex than you think. If you're really stumped about how to use AI in your work, I urge you to get Galileo, our AI Agent specifically designed for HR, business leaders, and human capital consultants. It includes 400+ reusable workflows to get you started and an entire library of 700+ courses on various AI and HR topics. We have received a spectacular group of AI Pacesetter applications and many explain how a particular company built AI literacy in detail. Come to Irresistible 2026 (June 8-10 in LA) to get the details. (Check out the US Department of Labor's AI-Ready Initiative too.) Chapters (00:00:00) - Advocacy of AI literacy(00:01:26) - Six Rules of AI Training(00:08:53) - Pacesetter: Trust, Security, and Legal Risk

Stephanie Hubka, founder of Protos Learning, who has spent 20 years designing human-centered learning strategies and has trained leaders in 50+ countries, is working with ACT-IAC on the business value of AI training for non-technical leaders. Hubka argues organizations often treat AI as either a magic fix or an existential threat, when it is better understood as a capability amplifier that requires humans in the loop. She emphasizes anchoring AI training to real work and quick wins, using everyday language instead of jargon, and building data literacy without turning everyone into analysts. Successful adoption depends on psychological safety, experimentation, and trust, with learning teams acting as strategic partners who understand the business. She shares how ChatGPT quickly drafted an outline but failed to create a quality, human training experience, reinforcing that transformation is ultimately about people. Stephanie's passion for training is equaled only by her love of exploring the globe; an avid traveler, she has visited all 7 continents, 70 countries, and all 50 US states.AI Training Series: From Turing to ChatGPT: The Evolution of AI | ACT-IACgAp Pulse: Trends. Talks. Takeaways | ACT-IAC Become a Member | ACT-IAC Small Business Alliance | ACT-IACSubscribe on your favorite podcast platform to never miss an episode! For more from ACT-IAC, follow us on LinkedIn or visit http://www.actiac.org.Learn more about membership at https://www.actiac.org/join.Donate to ACT-IAC at https://actiac.org/donate. Intro/Outro Music: See a Brighter Day/Gloria TellsCourtesy of Epidemic Sound(Episodes 1-159: Intro/Outro Music: Focal Point/Young CommunityCourtesy of Epidemic Sound)

Matt Sedwick joins us as a CAT 1 to discuss all sorts of things including AI Training. Get tires are TreadSavvy.com Cast: Matt, Sedwick, Tim Strelecki and Robert Curtis The Road Is Dead Podcast is based on what happens when people visit a bicycle business and get to talking. Topics can range widely from riding, road cycling enthusiasts, cyclocross racing, gravel racing, road racing, professional and amateur racing, grassroots cycling and events, industry discussions and trends. While based in the greater Chicagoland area regular guests are from all over. Main focus is on US domestic cycling. Guests range from Pro cyclists, industry veterans, race promoters and announcers, to just cool people that walked in. Passionate discussion you won't hear in the cycling media - we don't tow company lines and we're not afraid to discuss rumors, tell you when something is bad, or otherwise do something the others would avoid.

The chair of law firm Polsinelli says he doesn't want his attorneys—and especially not his junior attorneys—to use AI legal tools grudgingly. But the firm will not be giving associates billable-hour credit for learning how to use the technology. "They need to be very, very good at utilizing these tools and investing in themselves," Chase Simmons said on Bloomberg Law's podcast, On The Merits. "If you need motivation to learn how to use AI in your career right now, we probably have other things that we should be concerned about with you." "This should just be every day you wake up and have breakfast and think about how to incorporate this into your career," Simmons added. Simmons, who leads one of the fastest growing firms in the country, talked about how Polsinelli is adopting AI across the firm. He also explained Polsinelli's focus on being a "daily and weekly law firm" for its clients and discussed his views on the Trump administration's attacks on the legal industry. Do you have feedback on this episode of On The Merits? Give us a call and leave a voicemail at 703-341-3690.

In episode #293 of the Pool Nation Podcast, we sit down with industry leaders Alicia Stephens and Michael G to break down what innovation really looks like in the pool industry—and why it matters more than ever for pool service pros, retailers, and business owners. From next-generation pool chemicals and faster-dissolving chlorine technology to AI-powered training platforms and the future of education, this conversation goes deep into how the industry is evolving—and how you can stay ahead of it. We're not just talking about products—we're talking about thinking differently, solving real problems, and building a better experience for your customers. You'll hear how innovation is reshaping: Water chemistry and treatment strategies Pool service efficiency and troubleshooting Retail and customer experience Training, certifications, and workforce development Plus… we tease some major upcoming industry disruption you're going to want to keep your eye on

From State Championships to setups and a bit of AI Training. Get tires are TreadSavvy.com Cast: Tim Strelecki and Robert Curtis The Road Is Dead Podcast is based on what happens when people visit a bicycle business and get to talking. Topics can range widely from riding, road cycling enthusiasts, cyclocross racing, gravel racing, road racing, professional and amateur racing, grassroots cycling and events, industry discussions and trends. While based in the greater Chicagoland area regular guests are from all over. Main focus is on US domestic cycling. Guests range from Pro cyclists, industry veterans, race promoters and announcers, to just cool people that walked in. Passionate discussion you won't hear in the cycling media - we don't tow company lines and we're not afraid to discuss rumors, tell you when something is bad, or otherwise do something the others would avoid.

In this episode of The Health and Wellness Coach Journal Podcast, Dr. Jessica Singh speaks with Rebecca Rutschmann, a leading voice at the intersection of Human Intelligence and AI, dedicated to bridging the "GenAI Divide" in professional development. As the co-founder of Viva la Coaching Academy, she has moved beyond simple tool-training to champion AI fluency teaching coaches and leaders how to think with machines, not just through them. A recognized speaker and researcher, Rebecca partners with global organizations to design conversational AI experiences that prioritize ethical grounding, transparency, and the irreplaceable power of human presence. Rebecca shares how her path began with a lifelong fascination with technology. From being the only girl in tech class as a child, to working in website development, CRM systems, and corporate communications, she found herself repeatedly drawn to spaces where technology and communication met. Her journey into coaching began when she noticed that many young technical leaders in the workplace were struggling not with systems, but with people. Coaching gave her a language and a framework for supporting the human side of leadership, and over time it became clear that this was where her passions could converge. In this episode, Rebecca also explores the growing knowledge gap around AI in the coaching profession. Rebecca reflects on how many coaches are still overwhelmed by technology, unsure where to start, and deeply concerned about ethics, confidentiality, and responsible use. Through her work at Viva la Coaching Academy, she is helping fill that gap by creating learning spaces where coaches can explore AI safely, playfully, and in community. Rebecca speaks about one of the most important tensions in the field right now: how to embrace AI without sacrificing the heart of coaching. She explains that technology should not replace human connection, but it can enhance reflection, accountability, access, and professional growth. In many cases, AI is most useful between sessions through nudges, prompts, summaries, follow-up support, and reflective exercises that help clients sustain momentum. The conversation also explores the future of coach education. Rebecca makes the case that AI should not be treated as an optional extra or an advanced topic for later. Instead, it should be integrated into coach training from the beginning in ways that are practical, experiential, and grounded in ethical awareness. Dr. Singh and Rebecca also discuss what responsible AI use actually looks like. This episode serves as an encouraging reminder that AI in the future of coaching is not something happening to us. Rather, it is something we are actively shaping. For detailed show notes, resources, and information to connect with Rebecca, visit: https://www.centerforhealthandwellnesscoaches.com/blog/rebecca-rutschmann-on-ai-in-coaching-from-learning-to-practice To be notified of new episodes, subscribe here: https://www.centerforhealthandwellnesscoaches.com/stay-connected Timestamps: 0:00 - Introduction 1:21 - Rebecca Rutschmann's Journey into Coaching and AI: Curiosity to Leadership 5:01 - AI Training for Coaches: Rebecca Rutschmann on Closing the Knowledge Gap 8:24 - Rebecca Rutschmann on Using AI in Coaching Without Losing Human Connection 12:19 - Evolving Coach Education for AI: Rebecca Rutschmann on Practical AI Integration 17:00 - Vetting AI Responsibly: Rebecca Rutschmann's Guidance for Coaches 20:16 - Rebecca Rutschmann on the Ethical Use of AI in Coaching 30:33 - Takeaways

In this episode, we discuss the class action lawsuit against Meta concerning the privacy practices surrounding its AI-powered Ray-Ban smart glasses. We examine how human contractors review user footage and the implications for consumer trust, data privacy, and future AI development.Chapters00:00 Meta Ray-Ban Smart Glasses Lawsuit01:50 Meta's Response and Safeguards03:54 Lawsuit Accusations and Marketing05:57 AI Training and Data Collection08:30 Critics and Meta's Official Statement10:21 Luxury Surveillance Devices LinksGet the top 40+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

In this episode, we discuss the class action lawsuit against Meta concerning the privacy practices surrounding its AI-powered Ray-Ban smart glasses. We examine how human contractors review user footage and the implications for consumer trust, data privacy, and future AI development.Chapters00:00 Meta Ray-Ban Smart Glasses Lawsuit01:50 Meta's Response and Safeguards03:54 Lawsuit Accusations and Marketing05:57 AI Training and Data Collection08:30 Critics and Meta's Official Statement10:21 Luxury Surveillance Devices LinksGet the top 40+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we discuss the class action lawsuit against Meta concerning the privacy practices surrounding its AI-powered Ray-Ban smart glasses. We examine how human contractors review user footage and the implications for consumer trust, data privacy, and future AI development.Chapters00:00 Meta Ray-Ban Smart Glasses Lawsuit01:50 Meta's Response and Safeguards03:54 Lawsuit Accusations and Marketing05:57 AI Training and Data Collection08:30 Critics and Meta's Official Statement10:21 Luxury Surveillance Devices LinksGet the top 40+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Fabian Alefeld hosts Duann Scott on the Editor Snack podcast to discuss how AI is evolving in additive manufacturing, moving from “AI-washing” and impractical text-to-mesh hype toward more capable tools using language models, visual language models, surrogate models, and emerging foundational models. Scott describes testing tools by trying to make them fail and highlights a recent success with the Raven plugin for Rhino/Grasshopper, which generated a parametric VESA mount and tripod adapter from minimal prompts, then iteratively added fillets and an isogrid structure and produced a printable part within hours. They discuss constraints like missing engineering training data and design intent, the promise of AI for toolpath and process optimization (including transfer of parameter knowledge across materials), and the role of the 3MF format in capturing toolpath and metadata to enable richer, searchable datasets. Scott previews CDFAM events in Barcelona, DC, and Tokyo and emphasizes that progress requires significant data work and investment.  00:00 Welcome and Guest Intro 02:18 AI Hype to Real Progress 04:13 Testing AI Design Tools 04:46 Data Gaps and Design Intent 07:15 Two Paths for AI Design 10:15 Raven Grasshopper Breakthrough 13:17 Pushing Parametric Complexity 20:28 Limits of Black Box Optimization 22:40 Toolpath and Material Transfer 26:18 Alloy Discovery and Qualification 28:05 3MF Role Teaser 28:18 3MF Format Overview 29:17 Smarter Toolpath Extensions 32:31 Metadata for AI Training 35:43 Data Ownership and Synthetic Data 39:59 AI Impact on Additive 44:10 Workforce and Reshoring 47:22 What Is CDFAM 49:49 CDFAM Audience and Format 51:43 DC Event and Government 54:05 Wrap Up and Thanks 

The fundamental rules of creativity and ownership, established in law since the time of the printing press, are now collapsing under the weight of Generative AI. Its rapid-fire creation is built upon billions of human-authored works, leading to the “Original Sin” of the algorithm: the unauthorized copying of protected content for training. This conflict has ignited high-stakes lawsuits—from the New York Times challenging the AI input phase to the music industry battling against the creation of “almost identical” outputs—forcing the legal system to confront the “Authorship Challenge” and the threat of voice cloning. Join us as we explore the legal and ethical price of convenience with our guest, Dr. Andrés Guadamuz, a Reader in Intellectual Property Law at the University of Sussex and Editor-in-Chief of the Journal of World Intellectual Property. Dr. Guadamuz's groundbreaking research illuminates how centuries-old copyright principles must adapt to find a functional middle way that protects human ingenuity while allowing for technological innovation. Hosted by: Alexa Raad and Leslie Daigle. Further reading: A Scanner Darkly: Copyright Liability and Exceptions in Artificial Intelligence Inputs and Outputs Do Androids Dream of Electric Copyright? Comparative Analysis of Originality in Artificial Intelligence-Generated Works Record Companies Bring Landmark Cases for Responsible AI Against Suno and Udio in Boston and New York Federal Courts, Respectively IP/ENTERTAINMENT CASE LAW UPDATES: New York Times v. Microsoft Corp. The views and opinions expressed in this program are our own and may not reflect the views or positions of our employers.

The Small Business Administration had a busy past few weeks in the news and for their communications department. An article reported on the agency's reported record growth in 2025, including nearly $100 billion through the 7(a) and 504 loan programs. U.S. manufacturing gained millions in support from the Working Capital Pilot program. A bill in the U.S. Senate aims at providing free AI training and guidance nationwide, and the agency is implementing a program to provide a workaround for permit delays during federal disaster declarations. Listen to the podcast. Additional Resources Meet Paychex: https://bit.ly/3VtM6bs Funding sources: https://bit.ly/funding-for-businesses DISCLAIMER: The information presented in this podcast, and that is further provided by the presenter, should not be considered legal or accounting advice, and should not substitute for legal, accounting, or other professional advice in which the facts and circumstances may warrant. We encourage you to consult legal counsel as it pertains to your own unique situation(s) and/or with any specific legal questions you may have.

Send a textTackling the messy reality of data fueling artificial intelligence, Andrea Muttoni—President & CPO at Story—joins the show to unpack how Story is building an AI-native infrastructure for intellectual property and training data. We dig into making the $80T IP asset class programmable, traceable, and monetizable, and how Story aims to turn “mysterious training data blobs” into transparent rights and payments for creators and enterprises.01:10 Meet Andrea Muttoni 06:49 Story's Core Mission 13:41 IP Monetization 21:08 Biggest Competitor 22:49 Compute, Models, & Data 27:46 What to IP, Where Not 31:16 Blockchain 34:54 Protecting Your IP 41:36 Reaching StoryAndrea explains how Story is building a blockchain-based IP and data layer so AI systems can train on licensed content while proving usage, enforcing licenses, and automating payments to rights holders. We talk about the practical challenges of cleaning and labeling real-world data, what “IP-safe” datasets look like in practice, and how developers and companies can plug into Story's infrastructure. Andrea also shares where blockchain actually adds value (and where it doesn't), why he thinks “AI can't scale on legal ambiguity,” and concrete steps creators and founders can take today to protect and monetize their IP in the AI era.LinkedIn: linkedin.com/in/muttoni Website: https://www.story.foundation/#AITrainingData, #IntellectualProperty, #IPEconomy, #StoryProtocol, #DataInfrastructure, #AIGovernance, #AILaw, #Web3, #Blockchain, #CreatorEconomy, #DataOwnership, #RightsManagement, #Licensing, #TechPodcast, #Developers, #MachineLearning, #AIEthics, #DataMonetizationWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send a textTackling the messy reality of data fueling artificial intelligence, Andrea Muttoni—President & CPO at Story—joins the show to unpack how Story is building an AI-native infrastructure for intellectual property and training data. We dig into making the $80T IP asset class programmable, traceable, and monetizable, and how Story aims to turn “mysterious training data blobs” into transparent rights and payments for creators and enterprises.01:10 Meet Andrea Muttoni 06:49 Story's Core Mission 13:41 IP Monetization 21:08 Biggest Competitor 22:49 Compute, Models, & Data 27:46 What to IP, Where Not 31:16 Blockchain 34:54 Protecting Your IP 41:36 Reaching StoryAndrea explains how Story is building a blockchain-based IP and data layer so AI systems can train on licensed content while proving usage, enforcing licenses, and automating payments to rights holders. We talk about the practical challenges of cleaning and labeling real-world data, what “IP-safe” datasets look like in practice, and how developers and companies can plug into Story's infrastructure. Andrea also shares where blockchain actually adds value (and where it doesn't), why he thinks “AI can't scale on legal ambiguity,” and concrete steps creators and founders can take today to protect and monetize their IP in the AI era.LinkedIn: linkedin.com/in/muttoni Website: https://www.story.foundation/#AITrainingData, #IntellectualProperty, #IPEconomy, #StoryProtocol, #DataInfrastructure, #AIGovernance, #AILaw, #Web3, #Blockchain, #CreatorEconomy, #DataOwnership, #RightsManagement, #Licensing, #TechPodcast, #Developers, #MachineLearning, #AIEthics, #DataMonetizationWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

How did prompt engineering die so quickly? ☠️And what the heck does context engineering even mean? One of the trickiest things about LLMs is they're changing daily, yet they're the engines that drive business results. But if the engine is constantly changing, then you also have to change how you drive and the roads you take. That's why we're tackling context engineering in this installment of our Start Here Series, the essential beginners guide to understanding AI basics and growing your skills. Context Engineering: How to Get Expert-Level Outputs From AI Chatbots -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Evolution from Prompt to Context EngineeringWhy Prompt Engineering Is Now ObsoleteDefining Context Engineering in AI ChatbotsSix-Part Framework for Context EngineeringFour Layer System for Structuring AI ContextBuilding Reusable Context Vaults and SkillsConnecting Business Data to AI ModelsTechniques to Achieve Expert-Level AI OutputsImportance of Context Windows in Large Language ModelsContext Engineering Best Practices and ScalabilityTimestamps:00:00 "Access AI Community & Tools"03:08 "Mastering Context in AI"07:23 "Smart Models Require Less Precision"12:01 "Context Engineering Beats Prompt Engineering"15:49 "AI Context: Six Key Blocks"16:47 "Building Context for Better Results"19:53 "AI: Training, Not Easy Button"25:17 "Chain of Thought Prompting Decline"29:11 "Show, Don't Tell Techniques"32:13 "Context, Reuse, and Scalable Systems"33:19 "AI Chatbots: Memory and Skills"Keywords: context engineering, AI chatbots, expert level outputs, prompt engineering, large language models, business context, AI models, custom instructions, data access, context window, prime prompt polish, reusable context vaults, context vaults, skills file, memory enabled models, ChatGPT, Claude, Google Gemini, Microsoft Copilot, connectors, apps, searchable index, business data, personalized AI, context clues, reference material, examples, procedures, evaluation rubric, chain of thought prompting, generative AI, nondeterministic behavior, show don't tell technique, few shot examples, rubric first technique, grading criteria, output quality, scalable AI systems,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

AI is transforming the legal landscape, from lawsuits concerning training data to new regulations on model deployment. In this episode of Let's Brief It, host Pauline Wanjiru Irungu, an LL.M. student at American University Washington College of Law specializing in intellectual property and technology law, discusses these developments with two experts from Finnegan: Anna Chauvet, partner and head of Finnegan's copyright practice, who works on front line questions about AI training data, fair use, and authorship, and Lynn Parker Dupree, leader of Finnegan's privacy practice and former Chief Privacy Officer at the U.S. Department of Homeland Security, who brings a governance and data protection lens to AI.Together, they examine the legal landscape of AI training data, evolving copyright and privacy rules, and essential questions regarding consent and accountability. This episode offers a practical guide for law students and early-career attorneys navigating the intersection of AI and law.Please note, the positions and opinions expressed by the speakers are strictly their own, and do not necessarily represent the views of their employers, nor those of the D.C. Bar, its Board of Governors or co-sponsoring Communities and organizations.Want to get ahead of the pack? Joining the D.C. Bar Law Student Community (LSC) can get you there. Your LSC membership will provide resume and skills boosting opportunities and one-on-one access to local practicing attorneys. To learn more, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠click here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

We cornered the market on mozzarella sticks before this awesome episode! The main topic involved our recommendations for electrolyte use in races and hard training. Sweat replacement is one of the strangest, least understood parts of athletic physiology. We give our guidelines from lots of real-world experimentation. And this one was full of incredible topics! Other topics: the happiest place on Earth, Megan's first video filming and the year of vulnerability, David's return to run, a new probiotic study showing the weird connection between the gut and brain, Kristian Blummenfelt measuring with the highest VO2 max ever (or did he?), Airpod 3 heart rate, gambling in running, Truett Hanes' OTQ chase, our updated thoughts on applying AI in training, a Nomio follow-up, the perils of setting Z2 in the wrong place, changing directions on the track, elliptical v. bike training, bike cadence, a deep question on parenting, and lots more!Whenever you're in doubt about our place in the Universe, look up at the night sky, take a deep breath, and give the universal signal: SUCK IT. That will make a bit more sense soon (maybe). We love you all! HUZZAH!-David and MeganClick "Claim Your Sponsorship" for 40% off at The Feed here: thefeed.com/swapBuy Janji's amazing gear: https://janji.com (code "SWAP")The Wahoo KICKR Run is the best treadmill on the market: https://www.wahoofitness.com/devices/running/treadmills/kickr-run-buy (code “SWAP”)For training plans, weekly bonus podcasts, articles, and videos: patreon.com/swap

Fireside Project is a nonprofit that helps reduce the risks of psychedelic experiences through a free support line, coaching, education, and research. In this episode, Joshua White speaks with Psychedelics Today about why real-time support matters, what it takes to run a national hotline, and what Fireside learned after more than 30,000 conversations since launch. White shares how his background as a lawyer and his early hotline volunteering shaped Fireside's model. He also describes how festival harm reduction work, including lessons from Zendo-style support spaces, revealed a major gap: people often need help during an experience and after it ends. A major focus of the conversation is Lucy, Fireside's new voice-to-voice role-play simulator designed to improve psychedelic support skills through low-stakes practice. Early Themes With Fireside Project Joshua White introduces Fireside Project as an accessible safety net for people who are actively having psychedelic experiences or processing past ones. The support line launched on April 14, 2021, and relies on trained community volunteers who commit to a year of service. White explains why anonymity matters. He argues that a phone-based container can make it easier for callers to share vulnerable material without fear of judgment. He also frames service as a key part of integration for volunteers who want to give back or prepare for work in the psychedelic field. Core Insights From Fireside Project White describes the early difficulty of building Fireside from scratch, including legal design, insurance hurdles, training development, and fundraising. He credits seed support from David Bronner and Dr. Bronner's for helping Fireside prove that people would actually use a psychedelic support line. He also explains a key harm reduction point: calling emergency services during a non-medical psychedelic crisis can escalate risk. Fireside aims to help people regulate, re-orient, and stay safer when panic or fear shows up. Key concepts discussed include: The thin line between healing and traumatizing during high-intensity psychedelic states Why callers often need connection, not rescue How volunteer capacity and call volume shape how long conversations run The difference between support during an experience and longer-term coaching support Later Discussion and Takeaways With Fireside Project The conversation then turns to Lucy, a training tool White describes as a "flight simulator" for psychedelic practitioners. Lucy is not part of the live support line. Instead, it offers emotionally responsive role-play scenarios so trainees can practice staying grounded, tracking consent and boundaries, and responding to crisis cues. White also addresses recording and consent. He argues Fireside needs strong training feedback loops to improve safety and quality. He describes an anonymization approach designed to remove phone numbers, strip identifying details, and distort voices while preserving emotional tone. He also explains the post-call option for callers to delete their recorded conversation. Practical takeaways include: Simulation can help trainees stay regulated when intense material emerges Better training can reduce unnecessary diversion to emergency rooms Clear consent language and easy deletion workflows matter for trust Coaching can expand the continuum of psychedelic support beyond therapy  

The marketing teams winning with AI today are not the ones chasing every new model release. They are the ones who found the boring, repetitive tasks their teams hate and automated those first.Nir Pochter, Co-Founder and CMO at Lightricks, joins Stephanie Postles on Marketing Trends to break down what AI actually means for creative workflows and why most teams are still using it wrong.You'll learn:- The "algebra problem" of AI adoption- How to save your design team 80% of their time- Why the gap between marketers who use AI well and those who don't is widening fast.- How to use an LLM scoring system to pre-review documents for you- The dangerous trend of "AI Marketer" job titles- What's really in store for the future of video+AI Key Moments:00:00 — Why AI Hasn't Improved Creative Output Yet02:06 — The Algebra Problem: Tools vs. Knowing How to Use Them07:27 — Nir's Background: AI PhD to Lightricks and FaceTune09:46 — What Used to Take Weeks Now Takes Minutes13:35 — Why Automating Everything Failed Miserably16:38 — Start with What People Hate Doing20:08 — The LLM Scoring System: Nothing Gets Reviewed Without an 8521:43 — Train Your LLM to Be Mean, Not Nice23:32 — Building Custom GPTs with Company Guidelines26:30 — The Pitfall: Using AI to Please Leadership28:47 — From Toys to Tools: Why Text-to-Video Isn't Enough31:05 — Coca-Cola's 70,000 Prompts (Was It Worth It?)34:41 — AI Won't Replace Creatives, But This Will37:04 — The Two Critical Skills: Prompting and Curation37:55 — How AI Multiplies the Skills Gap (7 vs 10 Example)42:47 — What CMOs Should Be Asking Their Teams46:20 — Why "AI Marketer" Is LinkedIn Fluff This episode is brought to you by Lightricks. LTX is the all-in-one creative suite for AI-driven video production; built by Lightricks to take you from idea to final 4K render in one streamlined workspace.Powered by LTX-2, our next-generation creative engine, LTX lets you move faster, collaborate seamlessly, and deliver studio-quality results without compromise. Try it today at ltx.studio Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI investments? Everywhere. AI training? .......