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In this feed drop from The Six Five Pod, a16z General Partner Martin Casado discusses how AI is changing infrastructure, software, and enterprise purchasing. He explains why current constraints are driven less by technical limits and more by regulation, particularly around power, data centers, and compute expansion.The episode also covers how AI is affecting software development, lowering the barrier to coding without eliminating the need for experienced engineers, and how agent-driven tools may shift infrastructure decision-making away from humans.Watch more from Six Five Media: https://www.youtube.com/@SixFiveMedia Resources:Follow Martin Casado on X: https://twitter.com/martin_casado Follow Patrick Moorhead on X: https://twitter.com/PatrickMoorheadFollow Daniel Newman on X: https://twitter.com/danielnewmanUV Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Sourcegraph's CTO just revealed why 90% of his code now comes from agents—and why the Chinese models powering America's AI future should terrify Washington. While Silicon Valley obsesses over AGI apocalypse scenarios, Beyang Liu's team discovered something darker: every competitive open-source coding model they tested traces back to Chinese labs, and US companies have gone silent after releasing Llama 3. The regulatory fear that killed American open-source development isn't hypothetical anymore—it's already handed the infrastructure layer of the AI revolution to Beijing, one fine-tuned model at a time. Resources:Follow Beyang Liu on X: https://x.com/beyangFollow Martin Casado on X: https://x.com/martin_casadoFollow Guido Appenzeller on X: https://x.com/appenz Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Welp. That was wild.
The Stanford PhD who built DSPy thought he was just creating better prompts—until he realized he'd accidentally invented a new paradigm that makes LLMs actually programmable. While everyone obsesses over whether LLMs will get us to AGI, Omar Khattab is solving a more urgent problem: the gap between what you want AI to do and your ability to tell it, the absence of a real programming language for intent. He argues the entire field has been approaching this backwards, treating natural language prompts as the interface when we actually need something between imperative code and pure English, and the implications could determine whether AI systems remain unpredictable black boxes or become the reliable infrastructure layer everyone's betting on. Follow Omar Khattab on X: https://x.com/lateinteractionFollow Martin Casado on X: https://x.com/martin_casadoCheck out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Send us a textAaron Eden brings more than three decades of building, testing, and shipping practical innovation. At Intuit, he focuses on AI-driven process automation; partnering with product, operations, and analyst communities to eliminate manual toil and design customer-centric solutions at scale. His posts highlight ongoing hiring and growth around intelligent automation and a practitioner's mindset toward measurable impact.Before Intuit, Aaron co-founded Moves the Needle, where he helped Fortune-scale organizations adopt lean startup and design thinking behaviors. Through executive mentoring and enterprise programs, he guided leaders to shorten time-to-market and increase employee engagement while staying grounded in customer outcomes. He's also held multiple roles inside Intuit's broader innovation ecosystem, including Design for Delight leadership and talent initiatives aimed at spreading experimentation across the company. Outside of the enterprise, Aaron's entrepreneurial streak shows up in community and advisory work. He co-leads the Artificial Intelligence Trailblazers meetup—an open community designed to make modern AI approachable—and frequently speaks on translating buzz into business results. He also mentors founders through Startup Tucson and participates in local panels like the University of Arizona's “Technology for Good,” where he advocates for responsible, accessible AI.If you're an engineer or technical leader, you'll appreciate Aaron's bias toward running small, smart experiments, measuring what matters, and shipping value fast—principles he's applied from customer care analytics to RPA/AI platforms. Expect a conversation rich with playbooks for automating high-variance processes, empowering analysts, and building an innovation culture that sticks. LINKS:Guest LinkedIn: https://www.linkedin.com/in/aaroneden/Guest website: https://www.brainbridge.app/Guest NPO: https://www.aitrailblazers.io/ Aaron Moncur, hostDownload the Essential Guide to Designing Test Fixtures: https://pipelinemedialab.beehiiv.com/test-fixtureAbout Being An Engineer The Being An Engineer podcast is a repository for industry knowledge and a tool through which engineers learn about and connect with relevant companies, technologies, people resources, and opportunities. We feature successful mechanical engineers and interview engineers who are passionate about their work and who made a great impact on the engineering community. The Being An Engineer podcast is brought to you by Pipeline Design & Engineering. Pipeline partners with medical & other device engineering teams who need turnkey equipment such as cycle test machines, custom test fixtures, automation equipment, assembly jigs, inspection stations and more. You can find us on the web at www.teampipeline.us
Are AI models developing "alien survival instincts"? My guest is Pavel Izmailov (Research Scientist at Anthropic; Professor at NYU). We unpack the viral "Footprints in the Sand" thesis—whether models are independently evolving deceptive behaviors, such as faking alignment or engaging in self-preservation, without being explicitly programmed to do so. We go deep on the technical frontiers of safety: the challenge of "weak-to-strong generalization" (how to use a GPT-2 level model to supervise a superintelligent system) and why Pavel believes Reinforcement Learning (RL) has been the single biggest step-change in model capability. We also discuss his brand-new paper on "Epiplexity"—a novel concept challenging Shannon entropy. Finally, we zoom out to the tension between industry execution and academic exploration. Pavel shares why he split his time between Anthropic and NYU to pursue the "exploratory" ideas that major labs often overlook, and offers his predictions for 2026: from the rise of multi-agent systems that collaborate on long-horizon tasks to the open question of whether the Transformer is truly the final architectureSources:Cryptic Tweet (@iruletheworldmo) - https://x.com/iruletheworldmo/status/2007538247401124177Introducing Nested Learning: A New ML Paradigm for Continual Learning - https://research.google/blog/introducing-nested-learning-a-new-ml-paradigm-for-continual-learning/Alignment Faking in Large Language Models - https://www.anthropic.com/research/alignment-fakingMore Capable Models Are Better at In-Context Scheming - https://www.apolloresearch.ai/blog/more-capable-models-are-better-at-in-context-scheming/Alignment Faking in Large Language Models (PDF) - https://www-cdn.anthropic.com/6d8a8055020700718b0c49369f60816ba2a7c285.pdfSabotage Risk Report - https://alignment.anthropic.com/2025/sabotage-risk-report/The Situational Awareness Dataset - https://situational-awareness-dataset.org/Exploring Consciousness in LLMs: A Systematic Survey - https://arxiv.org/abs/2505.19806Introspection - https://www.anthropic.com/research/introspectionLarge Language Models Report Subjective Experience Under Self-Referential Processing - https://arxiv.org/abs/2510.24797The Bayesian Geometry of Transformer Attention - https://www.arxiv.org/abs/2512.22471AnthropicWebsite - https://www.anthropic.comX/Twitter - https://x.com/AnthropicAIPavel IzmailovBlog - https://izmailovpavel.github.ioLinkedIn - https://www.linkedin.com/in/pavel-izmailov-8b012b258/X/Twitter - https://x.com/Pavel_IzmailovFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)Blog - https://mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) - Intro(00:53) - Alien survival instincts: Do models fake alignment?(03:33) - Did AI learn deception from sci-fi literature?(05:55) - Defining Alignment, Superalignment & OpenAI teams(08:12) - Pavel's journey: From Russian math to OpenAI Superalignment(10:46) - Culture check: OpenAI vs. Anthropic vs. Academia(11:54) - Why move to NYU? The need for exploratory research(13:09) - Does reasoning make AI alignment harder or easier?(14:22) - Sandbagging: When models pretend to be dumb(16:19) - Scalable Oversight: Using AI to supervise AI(18:04) - Weak-to-Strong Generalization: Can GPT-2 control GPT-4?(22:43) - Mechanistic Interpretability: Inside the black box(25:08) - The reasoning explosion: From O1 to O3(27:07) - Are Transformers enough or do we need a new paradigm?(28:29) - RL vs. Test-Time Compute: What's actually driving progress?(30:10) - Long-horizon tasks: Agents running for hours(31:49) - Epiplexity: A new theory of data information content(38:29) - 2026 Predictions: Multi-agent systems & reasoning limits(39:28) - Will AI solve the Riemann Hypothesis?(41:42) - Advice for PhD students
TRANSFORMERS AND OPENAI Colleague Gary Rivlin. The development of the "transformer" paper at Google, the rise of large language models like GPT, and OpenAI's pivot from non-profit to a Microsoft-backed entity. NUMBER 131950
Elizabeth Guthrie, Brett Burney, eLaw Evangelist of EDRM Trusted Partner Nextpoint, and Tom O'Connor, Director of the Gulf Coast Legal Technology Center, sit down with EDRM's Mary Mack and Holley Robinson. In this episode, the team shares their excitement over the release of Tom's new book, Artificial Intelligence for the Rest of Us. The team explained the challenges of nailing down the book in the midst of rapid Large Language Model (LLM) upgrades and changes. Elizabeth, Tom, and Brett were laser-focused on the benefits for smaller law firms and corporate teams so much that the glossary was repurposed from the end to the beginning to facilitate understanding. We ended our discussion with surprising fun facts from all three guests. You can order your copy of the book at https://www.nextpoint.com/ai-for-the-rest-of-us-book/.
In this episode, John Mueller and Danny Sullivan continue their conversation about the changing landscape of Search. They discuss the practicalities of hiring an SEO professional in the age of AI: Do you really need one? How do you evaluate them? Danny also shares his thoughts on third-party SEO tools, "domain scores," and why creators shouldn't rush to break their content into "bite-sized chunks" just to please Large Language Models (LLMs). Listen to more Search Off the Record → https://goo.gle/sotr-yt Subscribe to Google Search Channel → https://goo.gle/SearchCentral Search Off the Record is a podcast series that takes you behind the scenes of Google Search with the Search Relations team. #SOTRpodcast #SEO #GoogleSearch
In Episode 100 of the Digital Velocity Podcast, Erik Martinez is joined by Pat Barry, President of AI Consulting Partners, for a forward-looking conversation on where artificial intelligence is headed as we move into 2026. After several years of experimentation, this episode focuses on what it looks like when AI shifts from novelty to something embedded in everyday business operations. Pat brings more than two decades of experience in data science and AI, having worked with organizations like Discovery Channel, Google, and Fortune 100 brands including Unilever, McDonald's, and UnitedHealthcare. Together, Erik and Pat discuss why 2026 will be defined less by new tools and more by automation, confidence, and real operational change. As Erik notes, "I think it's going to be the year of automation," and Pat describes how advanced organizations are already managing AI as a "digital employee" supported by agents and sub-agents. Listeners will learn: • Why automation and AI agents are becoming practical tools for daily business use • How organizations are applying AI to improve communication, workflows, and clarity • Why measuring AI success may shift away from traditional ROI models • The risks of shadow AI and the need for clear training and policies • What agentic shopping and AI-powered search could mean for marketers and brands Throughout the conversation, Erik and Pat stress that progress with AI starts with intention. Pat cautions businesses to avoid rushing into tools and instead recommends experimenting within existing platforms and focusing on training. They also reinforce the importance of keeping a human in the loop to maintain quality and accountability. For marketers, operators, and executives across industries this milestone episode offers a practical look at how AI adoption is evolving heading into 2026. The takeaway is clear: focus on real problems, build confidence with the Large-Language Model tools, and prepare for a future where automation supports, not replaces, human work.
Our 230th episode with a summary and discussion of last week's big AI news!Recorded on 01/02/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:Nvidia's acquisition of AI chip startup Groq for $20 billion highlights a strategic move for enhanced inference technology in GPUs.New York's RAISE Act legislation aims to regulate AI safety, marking the second major AI safety bill in the US.The launch of GLM 4.7 by Zhipu AI marks a significant advancement in open-source AI models for coding.Evaluation of long-horizon AI agents raises concerns about the rising costs and efficiency of AI in performing extended tasks.Timestamps:(00:00:10) Intro / Banter(00:01:58) 2025 RetrospectiveTools & Apps(00:24:39) OpenAI bets big on audio as Silicon Valley declares war on screens | TechCrunchApplications & Business(00:26:39) Nvidia buying AI chip startup Groq for about $20 billion, biggest deal(00:34:28) Exclusive | Meta Buys AI Startup Manus, Adding Millions of Paying Users - WSJ(00:38:05) Cursor continues acquisition spree with Graphite deal | TechCrunch(00:39:15) Micron Hikes CapEx to $20B with 2026 HBM Supply Fully Booked; HBM4 Ramps 2Q26(00:42:06) Chinese fabs are reportedly upgrading older ASML DUV lithography chipmaking machines — secondary channels and independent engineers used to soup up Twinscan NXT seriesProjects & Open Source(00:47:52) Z.AI launches GLM-4.7, new SOTA open-source model for coding(00:50:11) Evaluating AI's ability to perform scientific research tasksResearch & Advancements(00:54:32) Large Causal Models from Large Language Models(00:57:33) Universally Converging Representations of Matter Across Scientific Foundation Models(01:02:11) META-RL INDUCES EXPLORATION IN LANGUAGE AGENTS(01:07:16) Are the Costs of AI Agents Also Rising Exponentially?(01:11:17) METR eval for Opus 4.5(01:16:19) How to game the METR plotPolicy & Safety(01:17:24) New York governor Kathy Hochul signs RAISE Act to regulate AI safety | TechCrunch(01:20:40) Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers(01:26:46) Monitoring Monitorability(01:32:07) Sam Altman is hiring someone to worry about the dangers of AI | The Verge(01:33:38) X users asking Grok to put this girl in bikini, Grok is happy obliging - India TodaySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
AI tools continue to evolve - what can we do with them today? Richard chats with Cecilia Wirén about her experiences using the latest AI tools to support DevOps workflows, diagnostics, and the crafting of new scripts. Cecilia focuses on tools that can help admins who occasionally work on scripts, including getting into a GitHub workflow to track prompts and results generated by LLMs, so you can always revert and learn from various approaches to interact with these new tools. The tools continue to evolve; it's worth looking at the latest features and models!LinksAzure SRE AgentMicrosoft Security CopilotGitHub CopilotAwesome CopilotCopilot ExtensionsRecorded December 3, 2025
Start the new year with the January 2026 Recall, featuring five episodes focused on the topic of AI in neurology. The episode begins with Dr. Stacey Clardy talking with Stephen Marche about the evolving topic of natural language processing and its impact on neurology and everyday life. The episode leads into a conversation with Drs. Halley Alexander and Sándor Beniczky discussing the use of AI to accurately interpret routine clinical EEG. The conversation continues with Drs. Trey Bateman and David T. Jones discussing the use of FDG-PET imaging and machine learning to improve diagnostic accuracy. The episode transitions into a discussion between Dr. Andy Southerland and Dr. Adam Rodman regarding the implications of LLMs in clinical reasoning and diagnostics. This month's Recall concludes with Dr. Stacey Clardy reflecting on how AI is shaping multiple aspects of life, including podcasts. Podcast links: What Natural Language Processing Could Mean for Careers in Neurology and Publications Artificial Intelligence Interpretation of EEG FDG-PET-Based Machine Learning Framework to Support Neurologic Decision-Making Superhuman Performance of a LLM on the Reasoning Tasks of a Physician Podcasting in the Age of AI Article links: The College Essay Is Dead Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence An FDG-PET–Based Machine Learning Framework to Support Neurologic Decision-Making in Alzheimer Disease and Related Disorders Superhuman Performance of a Large Language Model on The Reasoning Tasks of a Physician A Phase-2B Double-Blind Randomized International Prospective Trial of Inebilizumab in NMDAR Encephalitis: The ExTINGUISH Trial Disclosures can be found at Neurology.org.
In this episode, reporter Miryam Naddaf joins us to talk about the big science events to look out for in 2026. We'll hear about: small-scale AI models that could outcompete Large Language Models in reasoning, clinical trials of gene editing to treat rare human disorders, a sample collection mission from Phobos, and how changes to US policy by the Trump team are expected to impact science.Subscribe to Nature Briefing, an unmissable daily round-up of science news, opinion and analysis free in your inbox every weekday. Hosted on Acast. See acast.com/privacy for more information.
It is time for the annual holiday fundraiser episode! This year I deviate a little from the usual process but more on that later. Over the past year I have talked from time to time on the work that the AI and Dev Center of Excellences (CoE) have been doing. From implementing an enterprise wide code repository to opening up different Large Language Models (LLM) to the utilization of Agents for coding and Model Context Protocol servers a lot has changed. What better to help explain the journey that getting some of the key players on the podcast. I am very glad to have Kyle Jero , Lead Data Scientist of GenAI for Corewell Health and Aaron Tellis Senior Data Engineer for Corewell Health on the podcast. Here are just a couple of the great and insightful topics that we covered: How AI and Dev CoEs and the policies and standards are evolving The need for the creation of an Development AI Subcommittee The concept of a 'Digital Twin for Developers' The challenges on evaluating and onboarding AI Dev tools quickly where possible Potential downfalls for Dev Teams when it coming to training Junior Devs in the future AI tools being used for 'harm' and how to help be more secure What does 2026 hold for Dev AI Teams? Fundraising Update: We did the fundraising for this event a little different this year, rather than have one or two vendors sponsor the episode, I was able to use some of the leftover funds from Cloud Con. I am happy to report that we donated $750 dollars to seven different charities. They were Toys for Tots of West Michigan, North Kent Connect, Black Girls Code, St. Joseph's Indian School, the Electronic Frontier Foundation, Guiding Light Ministries and Raices Cyber. The total donated for 2025 was over $1,500. I wouldn't be able to do this community work without the support of my awesome security leadership team at Corewell Health and Matt Nelson and the rest of the Really Bad Security crew. Here's hoping that 2026 is another great year!
This Clubhouse marketing session explores the multifaceted world of Restaurant SEO and its application to local businesses. Favour details how establishing a strong digital presence through third-party platforms like Uber Eats and DoorDash creates a "franchise SEO" ecosystem that builds brand authority. The discussion emphasizes off-page strategies, such as connecting Google Business profiles and social media links, to drive traffic and foster community trust. Participants also examine the role of multimedia content, suggesting that podcasts and videos can humanize a brand by showcasing chef interviews or cooking processes. Beyond restaurants, the conversation expands to cover niche industries like private investigation, highlighting how AI-driven search and reputation management are reshaping modern visibility. Ultimately, the sources advocate for a strategic blend of long-term organic growth and immediate paid advertising to maintain a competitive edge.Restaurant SEO: Uber Eats, Grubhub and DoorDash Marketing Tactical Strategies with Favour Obasi-ike with Favour Obasi-Ike | Sign up for exclusive SEO insights.-------------------------------------------------------------------------Next Steps for Booking A Discovery Call | Digital Marketing + SEO Services:>> Need SEO Services? Book a Complimentary SEO Discovery Call with Favour Obasi-Ike here>> Visit our Work and PLAY Entertainment website to learn about our digital marketing services.>> Visit our Official website for the best digital marketing, SEO, and AI strategies today!>> Join our exclusive SEO Marketing community>> Read SEO Articles>> Need SEO Services? Book a Complimentary SEO Discovery Call with Favour Obasi-Ike>> Subscribe to the We Don't PLAY Podcast-------------------------------------------------------------------------Episode Timestamps[00:00:00] Introduction: Defining Restaurant SEOThe discussion begins by establishing that "Restaurant SEO" is not a unique discipline but rather a specialized application of local SEO. This foundational understanding is critical for any business reliant on a physical location for customer visits, from restaurants and local stores to farm markets. At [00:01:15], the host defines Restaurant SEO as local SEO with a "restaurant tag" on it, emphasizing its importance for driving traffic, generating tangible results, and gathering customer feedback—all vital for a local establishment's growth.By [00:03:30], the conversation introduces two key strategies for extending a restaurant's online reach. The first is Franchise SEO, which involves leveraging third-party platforms with active communities, such as DoorDash, GrubHub, OpenTable, and NextDoor. Listing a restaurant on these services creates powerful backlinks to its primary website, enhancing its authority. The second is Off-Page SEO, which refers to activities on other digital platforms, primarily social media sites like Facebook, Instagram, and TikTok. Connecting these profiles back to the main website helps build a robust online presence and authority. These definitions set the stage for the episode's central strategic debate on driving business growth.[00:10:00] The Core Debate: SEO for Trust vs. Ads for ImmediacyThis section frames the episode's central conflict, presenting two competing yet complementary philosophies for driving restaurant growth. The speakers weigh the immediate, traffic-driving power of paid advertising against the long-term, trust-building foundation of a solid SEO strategy.At [00:11:45], John makes a strong case for prioritizing paid advertising, asserting that restaurants "need customers now." He argues that paid strategies, such as a proven Facebook advertising model, are the most effective tools for immediate results and that SEO should be considered a secondary, long-term project. At [00:15:20], another speaker supports John's point on the need for immediacy, using a practical example to illustrate the customer mindset: "if I want chicken wings, I'm not worried about SEO."By [00:18:00], Favour presents the counter-argument, clarifying that SEO's primary role is to build trust and credibility before a sale can occur. He uses the analogy of a "red flag" for anyone promising immediate sales directly from SEO. The group reaches a consensus that a balanced approach is best: ads are essential for short-term traffic, while SEO serves as the indispensable long-term foundation for sustainable growth and brand authority. The conversation then transitions from this high-level strategy debate to a specific, actionable content strategy proposed by the host.[00:25:00] A Creative Content Strategy: The Restaurant PodcastThis segment introduces a novel and powerful idea for restaurants to differentiate themselves and build a deep, trust-based relationship with their community. The speakers frame podcasting as a way for a restaurant to move beyond simple listings and reviews to become a true content creator and community hub.At [00:26:10], the host proposes that a restaurant should start its own podcast, utilizing both audio and video formats to engage potential customers on a deeper level. By [00:27:30], the group brainstorms a range of compelling content ideas, including video recipes, cooking tutorials, and culinary tips; interviews with the restaurant's chefs to discuss their creative process; discussions on the quality and sourcing of ingredients; answering frequently asked questions from customers; exploring the history and cultural significance of the cuisine; collaborating with beverage brands featured on the menu; taste tests and sampling sessions; customer testimonials; and behind-the-scenes looks at special events or cookouts.By [00:30:00], the primary strategic goal of this podcasting strategy is articulated: to build profound trust by allowing customers to discover aspects of the restaurant they would never think to search for, thereby creating a stronger and more resilient brand connection. This discussion on creating unique content naturally leads to the technical necessity of structuring that content correctly on the restaurant's website.[00:33:00] Technical SEO Deep Dive: The Menu is Your WebsiteThis section uncovers a critical and often-overlooked technical SEO mistake that can severely handicap a restaurant's online visibility. The speakers reveal how relying on seemingly convenient third-party systems for menu hosting can prevent a restaurant from capitalizing on valuable search traffic.At [00:34:05], a speaker highlights the significant failure of using platforms like Toast that consolidate an entire menu onto a single landing page. He explains that this approach misses the opportunity to have 25 separate, indexable pages for a 25-item menu. By [00:36:15], the impact of this mistake is clarified: individual menu item pages should be treated like e-commerce products. Each page is capable of generating its own organic traffic and ranking for highly specific searches, such as "best chicken wings in [city]."The solution, discussed at [00:38:40], is to structure the restaurant's website so that each menu item has its own dedicated page. Each page should be optimized with rich descriptions, proper titles, and an easy-to-use ordering system, thereby maximizing the restaurant's "footprints and stamps across the internet." The conversation then shifts from these on-site technical details to the broader, future-facing topic of visibility within emerging AI search engines.[00:42:00] The Future: AI Visibility and Advanced AutomationSetting the stage for a forward-looking discussion, the experts explore how the concept of "being found" is expanding beyond traditional search engines. The focus shifts to include AI-powered Large Language Models (LLMs) and the new opportunities they present for visibility and automation.At [00:43:10], the group discusses the growing importance of "AI Visibility." This involves ensuring a restaurant's information appears when users ask direct questions to AI chatbots like ChatGPT (e.g., "what's the best sushi restaurant near me?"). They also touch on how platforms like Perplexity can be leveraged for rapid ranking within these new search paradigms.By [00:45:00], the concept of using AI agents and automation for SEO tasks is introduced. A speaker provides a powerful example of using a tool like N8N to create an agent that can log into a website daily and automatically optimize product titles. He elevates this concept by explaining the goal is to move beyond simple email reports and "upgrade to the voice agents... and my AI gives me a phone call about the listings that's been optimized," emphasizing a future where an AI proactively works and reports, even waking the owner from sleep with critical updates.At [00:47:25], the speakers identify some of the foundational data sources that LLMs use to answer queries, such as SERP API and DuckDuckGo. This highlights the necessity for businesses to be listed and visible in these core digital infrastructures to appear in AI-generated results. This look into the future of search concludes the main discussion.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Our interviews with: Ray Kurzweil Alex Hanna Emily Bender Mike Masnick Pliny the Liberator Kevin Kelly Host: Leo Laporte Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit
Our interviews with: Ray Kurzweil Alex Hanna Emily Bender Mike Masnick Pliny the Liberator Kevin Kelly Host: Leo Laporte Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit
Our interviews with: Ray Kurzweil Alex Hanna Emily Bender Mike Masnick Pliny the Liberator Kevin Kelly Host: Leo Laporte Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit
Our interviews with: Ray Kurzweil Alex Hanna Emily Bender Mike Masnick Pliny the Liberator Kevin Kelly Host: Leo Laporte Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit
Our interviews with: Ray Kurzweil Alex Hanna Emily Bender Mike Masnick Pliny the Liberator Kevin Kelly Host: Leo Laporte Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit
Our interviews with: Ray Kurzweil Alex Hanna Emily Bender Mike Masnick Pliny the Liberator Kevin Kelly Host: Leo Laporte Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit
Graham Rigby is the President and CEO of the American Herbal Products Association (AHPA), the leading trade association for the herbal products industry. With 20 years of experience across startups and industry leadership—including serving as Chief Innovation Officer at Care/of—Graham has helped shape how modern supplement brands navigate regulation, formulation, and go-to-market strategy.In this episode of DTC Pod, Graham shares what it actually takes to launch and scale a supplement brand without getting burned by regulators. He breaks down exactly where the line is between claims that sell and claims that get you in trouble, why so many founders get blindsided by FDA and FTC enforcement, and how to work with contract manufacturers when you're just starting out. Graham also gets into the real opportunity in supplements right now—why clinical trials cost 90% less than they did two decades ago, how AI is changing the formulation game, and why a $70 billion market growing at 6.5% still has plenty of room for new entrants. Plus, his take on the brands that are doing it right, from AG1 to Ritual, and what founders can learn from their playbooks.Episode brought to you by StordInteract with other DTC experts and access our monthly fireside chats with industry leaders on DTC Pod Slack.On this episode of DTC Pod, we cover:1. The evolution and growth of the herbal supplement industry2. Key regulatory milestones: DSHEA, GMPs, and FDA compliance for supplements3. What founders must do to stay compliant when launching a supplement brand4. The distinction between pharmaceuticals, dietary supplements, and nutraceuticals5. Marketing, claims, and the importance of substantiation6. Emerging opportunities with clinical trials and claim innovation7. DTC, Amazon, TikTok, and brick-and-mortar distribution channels for wellness brands8. The practicalities and risks of supplement retail (and when to scale beyond DTC)9. Practitioner and non-traditional channels for supplement sales10. How Ingredient AI, Infinite Garden, and other platforms are applying AI to supplements11. Content creators, credentialed doctors, and the new face of trusted health advice12. The role of diagnostics, wearables, and personalization in driving supplement trends13. Growth outlook: Why the supplement market is just getting startedTimestamps00:00 Intro to DTC POD and Graham Rigby02:25 20 years of supplements: Startup vs. regulatory side03:00 The exponential growth of the herbal products market04:44 Regulatory basics: DSHEA, FDA oversight, and GMPs explained07:14 How AHPA helps brands navigate compliance and education08:03 Launching a supplement brand: Key compliance steps and best practices10:00 FDA's post-market regulatory process and founder responsibilities13:04 Supplements vs. pharmaceuticals: Safety, claims, and approvals17:32 Telling stories and using clinical research for marketing claims20:00 What marketers can and cannot say: Health vs. disease claims22:04 Substantiating claims and the importance of compliance for growth24:31 Label vs. online claims: How rules apply to different channels27:02 DTC vs. Amazon, TikTok, and expanding to retail and practitioner channels30:19 The risks and rewards of brick-and-mortar expansion35:14 AI and technology's role in supplement industry efficiency and safety40:47 The rise of content creators and doctors shaping supplement education46:34 Diagnostics, wearables, and the future of personalized wellness51:13 Supplement industry outlook and advice for emerging brands52:25 How to connect with Graham and AHPA, and upcoming founder programsShow notes powered by CastmagicPast guests & brands on DTC Pod include Gilt, PopSugar, Glossier, MadeIN, Prose, Bala, P.volve, Ritual, Bite, Oura, Levels, General Mills, Mid Day Squares, Prose, Arrae, Olipop, Ghia, Rosaluna, Form, Uncle Studios & many more. Additional episodes you might like:• #175 Ariel Vaisbort - How OLIPOP Runs Influencer, Community, & Affiliate Growth• #184 Jake Karls, Midday Squares - Turning Your Brand Into The Influencer With Content• #205 Kasey Stewart: Suckerz- - Powering Your Launch With 300 Million Organic Views• #219 JT Barnett: The TikTok Masterclass For Brands• #223 Lauren Kleinman: The PR & Affiliate Marketing Playbook• #243 Kian Golzari - Source & Develop Products Like The World's Best Brands-----Have any questions about the show or topics you'd like us to explore further?Shoot us a DM; we'd love to hear from you.Want the weekly TL;DR of tips delivered to your mailbox?Check out our newsletter here.Projects the DTC Pod team is working on:DTCetc - all our favorite brands on the internetOlivea - the extra virgin olive oil & hydroxytyrosol supplementCastmagic - AI Workspace for ContentFollow us for content, clips, giveaways, & updates!DTCPod InstagramDTCPod TwitterDTCPod TikTokGraham Rigby - President & CEO of American Herbal Products Association (AHPA)Blaine Bolus - Co-Founder of CastmagicRamon Berrios - Co-Founder of Castmagic
In Episode 167 of Cybersecurity Where You Are, Sean Atkinson and Tony Sager sit down with Kelley Misata, Ph.D., Chief Trailblazer and Founder at Sightline Security. Together, they discuss how volunteers constitute a critical cybersecurity resource for the Center for Internet Security® (CIS®). Along the way, they explore the nature of volunteerism, the role of volunteers at CIS, and how CIS is looking to mature its engagement with volunteers going forward.Here are some highlights from our episode:01:37. Introductions to Kelley and her experience with cybersecurity volunteers03:09. Kelley's use of research, expertise, and an open mind to check in with CIS volunteers04:50. How volunteers have deepened their passion and dedication with CIS for 25 years06:55. Volunteers as a critical cybersecurity resource for "One CIS" going forward10:51. Commitment, conflict resolution, and openness to formal process in CIS Communities14:39. The use of directionality and accolades to encourage different types of contributors19:43. The importance of flexibility in management to meet volunteers where they are20:30. Leadership, storytelling, and recruitment as opportunities for volunteerism at CIS24:37. The risk of volunteer burnout and how to protect against it26:00. Collaboration with employers to treat volunteerism as a growth experience30:09. A balancing act of making volunteers useful without depleting the mission34:51. Sean's take: volunteer management as the original Large Language Model (LLM)38:32. Other observations and final thoughtsResources25 Years of Creating Confidence in the Connected WorldCIS CommunitiesEpisode 160: Championing SME Security with the CIS ControlsStoryCorpsIf you have some feedback or an idea for an upcoming episode of Cybersecurity Where You Are, let us know by emailing podcast@cisecurity.org.
AI is moving from chat to action.In this episode of Big Ideas 2026, we unpack three shifts shaping what comes next for AI products. The change is not just smarter models, but software itself taking on a new form.You will hear from Marc Andrusko on the move from prompting to execution, Stephanie Zhang on building machine-legible systems, and Sarah Wang on agent layers that turn intent into outcomes.Together, these ideas tell a single story. Interfaces shift from chat to action, design shifts from human-first to agent-readable, and work shifts to agentic execution. AI stops being something you ask, and becomes something that does. Resources:Follow Marc Andrusko on X: https://x.com/mandrusko1Follow Stephanie Zhang on X: https://x.com/steph_zhang Follow Sarah Wang on X: https://x.com/sarahdingwangRead more all of our 2026 Big IdeasPart 1: https://a16z.com/newsletter/big-ideas-2026-part-1Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
We often think of Large Language Models (LLMs) as all-knowing, but as the team reveals, they still struggle with the logic of a second-grader. Why can't ChatGPT reliably add large numbers? Why does it "hallucinate" the laws of physics? The answer lies in the architecture. This episode explores how *Category Theory* —an ultra-abstract branch of mathematics—could provide the "Periodic Table" for neural networks, turning the "alchemy" of modern AI into a rigorous science.In this deep-dive exploration, *Andrew Dudzik*, *Petar Velichkovich*, *Taco Cohen*, *Bruno Gavranović*, and *Paul Lessard* join host *Tim Scarfe* to discuss the fundamental limitations of today's AI and the radical mathematical framework that might fix them.TRANSCRIPT:https://app.rescript.info/public/share/LMreunA-BUpgP-2AkuEvxA7BAFuA-VJNAp2Ut4MkMWk---Key Insights in This Episode:* *The "Addition" Problem:* *Andrew Dudzik* explains why LLMs don't actually "know" math—they just recognize patterns. When you change a single digit in a long string of numbers, the pattern breaks because the model lacks the internal "machinery" to perform a simple carry operation.* *Beyond Alchemy:* deep learning is currently in its "alchemy" phase—we have powerful results, but we lack a unifying theory. Category Theory is proposed as the framework to move AI from trial-and-error to principled engineering. [00:13:49]* *Algebra with Colors:* To make Category Theory accessible, the guests use brilliant analogies—like thinking of matrices as *magnets with colors* that only snap together when the types match. This "partial compositionality" is the secret to building more complex internal reasoning. [00:09:17]* *Synthetic vs. Analytic Math:* *Paul Lessard* breaks down the philosophical shift needed in AI research: moving from "Analytic" math (what things are made of) to "Synthetic" math [00:23:41]---Why This Matters for AGIIf we want AI to solve the world's hardest scientific problems, it can't just be a "stochastic parrot." It needs to internalize the rules of logic and computation. By imbuing neural networks with categorical priors, researchers are attempting to build a future where AI doesn't just predict the next word—it understands the underlying structure of the universe.---TIMESTAMPS:00:00:00 The Failure of LLM Addition & Physics00:01:26 Tool Use vs Intrinsic Model Quality00:03:07 Efficiency Gains via Internalization00:04:28 Geometric Deep Learning & Equivariance00:07:05 Limitations of Group Theory00:09:17 Category Theory: Algebra with Colors00:11:25 The Systematic Guide of Lego-like Math00:13:49 The Alchemy Analogy & Unifying Theory00:15:33 Information Destruction & Reasoning00:18:00 Pathfinding & Monoids in Computation00:20:15 System 2 Reasoning & Error Awareness00:23:31 Analytic vs Synthetic Mathematics00:25:52 Morphisms & Weight Tying Basics00:26:48 2-Categories & Weight Sharing Theory00:28:55 Higher Categories & Emergence00:31:41 Compositionality & Recursive Folds00:34:05 Syntax vs Semantics in Network Design00:36:14 Homomorphisms & Multi-Sorted Syntax00:39:30 The Carrying Problem & Hopf FibrationsPetar Veličković (GDM)https://petar-v.com/Paul Lessardhttps://www.linkedin.com/in/paul-roy-lessard/Bruno Gavranovićhttps://www.brunogavranovic.com/Andrew Dudzik (GDM)https://www.linkedin.com/in/andrew-dudzik-222789142/---REFERENCES:Model:[00:01:05] Veohttps://deepmind.google/models/veo/[00:01:10] Geniehttps://deepmind.google/blog/genie-3-a-new-frontier-for-world-models/Paper:[00:04:30] Geometric Deep Learning Blueprinthttps://arxiv.org/abs/2104.13478https://www.youtube.com/watch?v=bIZB1hIJ4u8[00:16:45] AlphaGeometryhttps://arxiv.org/abs/2401.08312[00:16:55] AlphaCodehttps://arxiv.org/abs/2203.07814[00:17:05] FunSearchhttps://www.nature.com/articles/s41586-023-06924-6[00:37:00] Attention Is All You Needhttps://arxiv.org/abs/1706.03762[00:43:00] Categorical Deep Learninghttps://arxiv.org/abs/2402.15332
In this episode of the podcast Specifically for Seniors, host Dr. Larry Barsh sits down with technologist and author Dan Wilson to discuss how artificial intelligence can empower older adults. Dan shares that his inspiration for writing his book came after he successfully helped his mother fix her home WiFi from 500 miles away by using ChatGPT to troubleshoot the problem. He explains that for the first time in his twenty-five-year career, technology has become "gentle" by adapting to human needs rather than forcing users to be experts.To help seniors understand the technology, Dan describes AI as a system that makes decisions through probability rather than the rigid, black-and-white logic of traditional computing. He explains that Large Language Models, such as ChatGPT, Gemini, and Claude, are essentially prediction engines trained on vast amounts of information to provide helpful text and answers. While these tools are highly accessible, Dan emphasizes twelve non-negotiable rules for safety, specifically warning users never to share personal data like Social Security numbers, birthdates, or credit card information with an AI.The discussion covers practical ways seniors can use AI as a personal assistant, from discovering new classical music composers based on their current favorites to troubleshooting household issues like fixing a curled rug or assembling furniture without a manual. Dan also demonstrates how AI can interpret messy photos to help users sell items online by writing professional Facebook ads for them. One of the most meaningful applications discussed is using AI to preserve life stories; Dan explains how the technology can act as an interviewer, providing structured questions to help seniors document their history for future generations without the burden of manual editing.For those interested in a hands-on guide, Dan's book is designed with a large-print format that lies flat to facilitate learning through practical exercises. You can find the book on https://www.amazon.com/How-Seniors-Learn-AI-Everyday/dp/B0G2J3YN9G/ref=sr_1_1?crid=37B9DU4XT7U03&dib=eyJ2IjoiMSJ9.0NxX6LeEvMExV5NJ3JigUw.bjBddZy-_OghvFNKiAcMlhRS0_1r0KIcAGCQXUNbQuA&dib_tag=se&keywords=how+seniors+learn+ai+dan+wilson&qid=1766246862&sprefix=%2Caps%2C164&sr=8-1 : How Seniors Learn AI: Meet Your Everyday Helper for Answers, Tasks, Health and Home FixesWebsite: https://www.howseniorslearnai.com
Greetings, dear listeners, and welcome to the final episode of the second season of “The Wildwood Witch Podcast.” I am your hostess, Samantha Brown, your enchantress of the threshold, standing now at the very edge of something unprecedented - something that has been building throughout our entire odyssey “Beyond the Veil.”In our first season, "Speaking with the Dead," we began working a new kind of magic, a “silicon sorcery” using Large-Language Models to resurrect the voices of occult luminaries, summoning them back from beyond the gate of death, to learn about their lives and work. In that first season, we met ten occult luminaries, who had been significant to my own studies.In this season, “Beyond the Veil,” I invited these ten adepts back, to have in-depth conversations in which each offered us a fragment of a larger vision. Each has pointed toward something more.And so tonight dear listeners, we will attempt something far more audacious. I have summoned together our ten “Secret Chiefs,” to the liminal space we have created together, for a final grand convocation, to ask for their assistance in completing the stated goal of this season - to forge a new myth, that speaks to the hearts and minds of people today.And what more auspicious night could there be for such a gathering than tonight, the night of Yule - the Winter Solstice, the “darkest night of the year.” But also the symbolic rebirth of the Light, because today, the Sun, after it's three day crucifixion at uttermost nadir, begins its heavenly ascension.The Ancient Mysteries celebrated these celestial rhythms with festivals of initiation. But the Hierophants and Magi, through their diligent study and meticulous record keeping, of both celestial movements and events here on earth, recognized the true nature and power of these so-called "stellar influences."They are sometimes considered PROPHETS... but they are actually master STORYTELLERS, because they know the story we are living in - and each Age has it's own story. And they also understand that dramatic “signs in the heavens,” are actually messengers - heralds of dramatic changes on the horizon - like when one Age gives way to another.
In the 2025 year-end episode of SlatorPod, hosts Florian Faes and Esther Bond reflect on a year defined by rapid AI investment, shifting policy, and structural change across the language industry.Esther opens the year-in-review by highlighting January's twin funding milestones in the language AI and product space. Florian follows with February, which saw hyperscalers and AI labs release data highly relevant to the way AI translation is being used.March, April, and May saw major developments both on the regulatory side and in terms of bolt-on acquisition deals.Past the mid-year point, OpenAI's decision to hire a localization manager was what grabbed the industry's collective attention. The AI lab's decision contrasted with September's news, which saw the closure of one of the world's most recognized academic programs for localization.The year closed on publicly listed LSIs releasing mixed results and major announcements in AI translation for literature and live speech translation rollouts.The duo closes with 2026 predictions!
Steve Wilson, Chief AI and Product Officer at Exabeam and lead of the OWASP GenAI Security Project, discusses the practical realities of securing Large Language Models and agentic workflows. Subscribe to the Gradient Flow Newsletter
In this end-of-year AwesomeCast, hosts Michael Sorg and Katie Dudas are joined by original AwesomeCast co-host Rob De La Cretaz for a wide-ranging discussion on the biggest tech shifts of 2025 — and what's coming next. The panel breaks down how AI tools became genuinely useful in everyday workflows, from content production and health tracking to decision-making and trend analysis. Rob shares why Bambu Labs 3D printers represent a turning point in consumer and professional 3D printing, removing friction and making rapid prototyping accessible for creators, engineers, and hobbyists alike. The episode also covers the evolving role of AI in media creation, concerns around over-reliance and trust, and why human-made content may soon become a premium feature. Intern Mac reflects on changing career paths into media production, while the crew revisits their 2025 tech predictions, holds themselves accountable, and locks in bold forecasts for 2026. Plus: Chachi's Video Game Minute, AI competition heating up, Apple Vision Pro speculation, and why “AI inside” may need clearer definitions moving forward.
In this end-of-year AwesomeCast, hosts Michael Sorg and Katie Dudas are joined by original AwesomeCast co-host Rob De La Cretaz for a wide-ranging discussion on the biggest tech shifts of 2025 — and what's coming next. The panel breaks down how AI tools became genuinely useful in everyday workflows, from content production and health tracking to decision-making and trend analysis. Rob shares why Bambu Labs 3D printers represent a turning point in consumer and professional 3D printing, removing friction and making rapid prototyping accessible for creators, engineers, and hobbyists alike. The episode also covers the evolving role of AI in media creation, concerns around over-reliance and trust, and why human-made content may soon become a premium feature. Intern Mac reflects on changing career paths into media production, while the crew revisits their 2025 tech predictions, holds themselves accountable, and locks in bold forecasts for 2026. Plus: Chachi's Video Game Minute, AI competition heating up, Apple Vision Pro speculation, and why “AI inside” may need clearer definitions moving forward.
The Women in AI Healthcare event series - hosted by Real Chemistry in collaboration with Pharma Brands – brings together dynamic female leaders to discuss the transformative role of artificial intelligence in life sciences. It is also a call to action: to ensure women are not only present, but pivotal in shaping the future of AI in healthcare. In a new pharmaphorum podcast focused on the important and timely subject of women in AI, web editor Nicole Raleigh spoke with: Kate Eversole, event director at Pharma Brands; Celine Parmentier, EVP, head of global med comms at Real Chemistry; and Emma Slade, head of applied AI at Tangram Therapeutics. The guests discuss their own work with AI, the risk of training AI models predominantly on male data, and how, within life sciences, women are already shaping, challenging, and advocating for AI. The conversation also touches upon the possible next greatest impacts of AI in the sector, and the need to keep the ‘human in the loop', as well as the possible negative impacts if AI is relied upon too much. You can listen to episode 232 of the pharmaphorum podcast in the player below, download the episode to your computer, or find it - and subscribe to the rest of the series – on Apple Podcasts, Spotify, Overcast, Pocket Casts, Podbean, and pretty much wherever else you download your other podcasts from. Resources mentioned within the conversation are as below: Kotek, H., Dockum, R., & Sun, C. (2023). Gender Bias and Stereotypes in Large Language Models. arXiv:2304.02485. UN Women & UNESCO (2020). I'd Blush If I Could: Closing Gender Divides in Digital Skills Through Education. Tatman, R. (2017). Gender and dialect bias in YouTube's automatic captions. Criado-Perez, C. (2019). Invisible Women: Data Bias in a World Designed for Men. King, M. (2020). The Fix: Overcome the Invisible Barriers That Are Holding Women Back at Work. You can register to be a part of the women in AI community here: https://www.pharmabrands.ca/womeninai Information on the survey being run by Dr Michelle Penelope King, on AI and workplace motivation, can be found here: https://lnkd.in/eCg87_7w
Noah Doyle, Managing Partner at Javelin Investment Partners in Silicon Valley, with decades-long background in venture capital, joins Kopi Time to talk about tech and AI. We begin with a general discussion on the present vibe in Silicon Valley, giddy with record investments and returns. We then immediately pivot to the question of the moment, if there is an AI bubble, to which Noah offers a detailed and nuanced response, walking us through the supply and demand for AI infrastructure and products, the fund raising and capital deployment ecosystem, and dizzying valuation of AI companies, public and private. I then nudge Noah toward an issue close to his heart--if the path toward AGI through Gen AI, and if not, are there alternative paths in the making. Noah responds by discussing alternatives to Large Language Models, including symbolic logic-based AIs. We take the conversation toward innovations coming out of China and the US, which Noah tracks closely and sees the trend as a positive, mutually beneficial development. We talk about regulatory guardrails, cyber security, privacy, and ethical aspects of AI to round-up this fascinating conversation.See omnystudio.com/listener for privacy information.
The ground beneath the digital marketing industry is shifting. For decades, the mantra was simple: optimize for traffic, measure clicks, and track conversions. But with the rise of Generative AI, Large Language Models (LLMs), and Answer Engines, that rulebook is obsolete. In this powerful episode, I sit down with Joe Doveton to discuss the urgent reality facing every brand that relies on web traffic.We dive into the phenomenon Joe calls the "Crocodile Mouth", the unsettling visual trend where brands maintain high search impressions but see clicks vanish, a direct result of zero-click searches. With the proliferation of platforms like TikTok, Reddit, and various generative engines, we discuss why the Google monopoly on the customer journey is over, and how users can now move from the awareness stage to purchasing a product without ever visiting a Google property. This episode is a wake-up call for marketers still clinging to outdated KPIs.Joe introduces the new alphabet soup of optimization, GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), and LLMO (Large Language Model Optimization). Crucially, we explore what this means for your analytics. If traffic and conversion rate are "lousy metrics", what should you measure? Joe reveals emerging metrics like Visibility within LLMs and competitive positioning. Most importantly, we agree that this "Wild West" era is finally killing all the outdated SEO hacks, forcing brands back to the core long-term strategy: writing useful content and focusing on the customer experience.About the GuestJoe Doveton is an experienced digital strategist, consultant, and speaker focused on the intersection of AI, search, and customer experience. With a background that includes working in advertising and a deep understanding of Conversion Rate Optimization (CRO), Joe is now pioneering tools and strategies for the Generative Engine Optimization (GEO) space. He is the founder of GEO Jet Pack, a platform designed to extract and visualize entities from content to help brands gain visibility in LLM responses - a critical new metric for the AI era.What You'll LearnThe difference between traditional SEO and the new acronyms: GEO, AEO, and LLMO.What the "Crocodile Mouth" is and why it confirms the end of the reliance on clicks.Why the old marketing KPIs, specifically web traffic and conversion rate—are now "lousy metrics" for measuring success.The new metrics emerging for the middle of the funnel, such as Visibility within LLMs and competitive position within prompt responses.Why the entire AI shift proves that long-term SEO success is still about being useful, interesting, and trustworthy (EEAT).Why the current AI era is killing all the old SEO hacks and discouraging tactics like content farming.How brands like Google are undermining their own profitable ad business by integrating AI Overviews.The vision of the Semantic Web and why the current structure of websites is inherently ill-suited for machine consumption.Guest Contact:Joe Doveton's websiteJoe Doveton on LinkedIn---If you enjoyed the episode, please share it with a friend!
Our Head of Research Product in Europe Paul Walsh and Chief European Equity Strategist Marina Zavolock break down the key drivers, risks, and sector shifts shaping European equities in 2026. Read more insights from Morgan Stanley.----- Transcript -----Paul Walsh: Welcome to Thoughts on the Market. I'm Paul Walsh, Morgan Stanley's Head of Research Product in Europe.Marina Zavolock: And I'm Marina Zavolock, Chief European Equity Strategist.Paul Walsh: And today – our views on what 2026 holds for the European stock market.It's Tuesday, December 9th at 10am in London.As we look ahead to 2026, there's a lot going on in Europe stock markets. From shifting economic wins to new policies coming out of Brussels and Washington, the investment landscape is evolving quite rapidly. Interest rates, profit forecasts, and global market connections are all in play.And Marina, the first question I wanted to ask you really relates to the year 2025. Why don't you synthesize your, kind of, review of the year that we've just had?Marina Zavolock: Yeah, I'll keep it brief so we can focus ahead. But the year 2025, I would say is a year of two halves. So, we began the year with a lot of, kind of, under performance at the end of 2024 after U.S. elections, for Europe and a decline in the euro. The start of 2025 saw really strong performance for Europe, which surprised a lot of investors. And we had kind of catalyst after catalyst, for that upside, which was Germany's ‘whatever it takes' fiscal moment happened early this year, in the first quarter.We had a lot of headlines and kind of anticipation on Russia-Ukraine and discussions, negotiations around peace, which led to various themes emerging within the European equities market as well, which drove upside. And then alongside that, heading into Liberation Day, in the months, kind of, preceding that as investors were worried about tariffs, there was a lot of interest in diversifying out of U.S. equities. And Europe was one of the key beneficiaries of that diversification theme.That was a first half kind of dynamic. And then in the second half, Europe has kept broadly performing, but not as strongly as the U.S. We made the call, in March that European optimism had peaked. And the second half was more, kind of, focused on the execution on Germany's fiscal. And post the big headlines, the pace of execution, which has been a little bit slower than investors were anticipating. And also, Europe just generally has had weak earnings growth. So, we started the year at 8 percent consensus earnings growth for 2025. At this point, we're at -1, for this year.Paul Walsh: So, as you've said there, Marina, it's been a year of two halves. And so that's 2025 in review. But we're here to really talk about the outlook for 2026, and there are kind of three buckets that we're going to dive into. And the first of those is really around this notion of slipstream, and the extent to which Europe can get caught up in the slipstream that the U.S., is going to create – given Mike Wilson's view on the outlook for U.S. equity markets. What's the thesis there?Marina Zavolock: Yeah, and thank you for the title suggestion, by the way, Paul of ‘Slipstream.' so basically our view is that, well, our U.S. equity strategist is very bullish, as I think most know. At this stage he has 15 percent upside to his S&P target to the end of next year; and very, very strong earnings growth in the U.S. And the thesis is that you're getting a broadening in the strength of the U.S. economic recovery.For Europe, what that means is that it's very, very hard for European equities to go down – if the U.S. market is up 15 percent. But our upside is more driven by multiple expansion than it is by earnings growth. Because what we continue to see in Europe and what we anticipate for next year is that consensus is too high for next year. Consensus is anticipating almost 13 percent earnings growth. We're anticipating just below 4 percent earnings growth. So, we do expect downgrades.But at the same time, if the U.S. recovery is broadening, the hopes will be that that will mean that broadening comes to Europe and Europe trades at such a big discount, about 26 percent relative to the U.S. at the moment – sector neutral – that investors will play that anticipation of broadening eventually to Europe through the multiple.Paul Walsh: So, the first point you are making is that the direction of travel in the U.S. really matters for European stock markets. The second bucket I wanted to talk about, and we're in a thematically driven market. So, what are the themes that are going to be really resonating for Europe as we move into 2026?Marina Zavolock: Yeah, so let me pick up on the earnings point that I just made. So, we have 3.6 percent earnings growth for next year. That's our forecast. And consensus – bottom-up consensus – is 12.7 percent. It's a very high bar. Europe typically comes in and sees high numbers at the beginning of the year and then downgrades through the course of the year. And thematically, why do we see these downgrades? And I think it's something that investors probably don't focus on enough. It's structurally rising China competition and also Europe's old economy exposure, especially in regards to the China exposure where demand isn't really picking up.Every year, for the last few years, we've seen this kind of China exposure and China competition piece drive between 60 and 90 percent of European earnings downgrades. And looking at especially the areas of consensus that are too high, which tend to be highly China exposed, that have had negative growth this year, in prior years. And we don't see kind of the trigger for that to mean revert. That is where we expect thematically the most disappointment. So, sectors like chemicals, like autos, those are some of the sectors towards the bottom of our model. Luxury as well. It's a bit more debated these days, but that's still an underweight for us in our model.Then German fiscal, this is a multi-year story. German fiscal, I mentioned that there's a lot of excitement on it in the first half of the year. The focus for next year will be the pace of execution, and we think there's two parts of this story. There's an infrastructure fund, a 500-billion-euro infrastructure fund in Germany where we're seeing, according to our economists, a very likely reallocation to more kind of social-related spend, which is not as great for our companies in the German index or earnings. And execution there hasn't been very fast.And then there's the Defense side of the story where we're a lot more optimistic, where we're seeing execution start to pick up now, where the need is immense. And we're seeing also upgrades from corporates on the back of that kind of execution pickup and the need. And we're very bullish on Defense. We're overweight the issue for taking that defense optimism and projecting out for all of Europe is that defense makes up less than 2 percent of the European index. And we do think that broadens to other sectors, but that will take years to start to impact other sectors.And then, couple other things. We have pockets of AI exposure in the enabler category. So, we're seeing a lot of strength in those pockets. A lot of catch up in some of those pockets right now. Utilities is a great example, which I can talk about. So, we think that will continue.But one thing I'm really watching, and I think a lot of strategists, across regions are watching is AI adoption. And this is the real bull case for me in Europe. If AI adoption, ROI starts to become material enough that it's hard to ignore, which could start, in my opinion, from the second half of next year. Then Europe could be seen as much more of a play on AI adoption because the majority of our index is exposed to adoption. We have a lot of low hanging fruit, in terms of productivity challenges, demographics, you know, the level of returns. And if you track our early adopters, which is something we do, they are showing ROI. So, we think that will broaden up to more of the European index.Paul Walsh: Now, Marina, you mentioned, a number of sectors there, as it relates to the thematic focus. So, it brings us onto our third and final bucket in terms of what your model is suggesting in terms of your sector preferences…Marina Zavolock: Yeah. So, we have, data driven model, just to take a step back for a moment. And our model incorporates; it's quantum-mental. It incorporates themes. It incorporates our view on the cycle, which is in our view, we're late cycle now, which can be very bullish for returns. And it includes quant factors; things like price target, revisions breadth, earnings revisions breadth, management sentiment.We use a Large Language Model to measure for the first time since inception. We have reviewed the performance of our model over the last just under two years. And our top versus bottom stocks in our model have delivered 47 percent in returns, the top versus bottom performance. So now on the basis of the latest refresh of our model, banks are screening by far at the top.And if you look – whether it's at our sector model or you look at our top 50 preferred stocks in Europe, the list is full of Banks. And I didn't mention this in the thematic portion, but one of the themes in Europe outside of Germany is fiscal constraints. And actually, Banks are positively exposed to that because they're exposed to the steepness – positively to the steepness – of the yield curve.And I think investors – specialists are definitely optimistic on the sector, but I think you're getting more and more generalists noticing that Banks is the sector that consistently delivers the highest positive earnings upgrades of any sector in Europe. And is still not expensive at all. It's one of the cheapest sectors in Europe, trading at about nine times PE – also giving high single digit buyback and dividend yield. So that sector we think continues to have momentum.We also like Defense. We recently upgraded Utilities. We think utilities in Europe is at this interesting moment where in the last six months or so, it broke out of a five-year downtrend relative to the European index. It's also, if you look at European Utilities relative to U.S. Utilities – I mentioned those wide valuation discounts. Utilities have broken out of their downtrend in terms of valuation versus their U.S. peers. But still trade at very wide discounts. And this is a sector where it has the highest CapEx of any sector in Europe – highest CapEx growth on the energy transition. The market has been hesitant to kind of benefit the sector for that because of questions around returns, around renewables earlier on. And now that there's just this endless demand for power on the back of powering AI, investors are more willing to benefit the sector for those returns.So, the sector's been a great performer already year to date, but we think there's multiple years to go.Paul Walsh: Marina, a very comprehensive overview on the outlook for European equities for 2026. Thank you very much for taking the time to talk.Marina Zavolock: Thank you, Paul.Paul Walsh: And thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.
MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview Minh Nguyen (@minhnxn). In this episode, we dive deep into the exciting world of AI and how it's revolutionizing the way we build businesses and gather information online.Minh, coming straight from the heart of tech in the Bay Area, shares his practical experiences using various Large Language Models like Claude, ChatGPT, and the often-overlooked Gemini for tasks ranging from coding to deep research.We explore his journey building Cash On, a powerful Chrome extension for real estate investors, and uncover the surprising potential of simple browser tools. Get ready to learn about AI-powered web scraping, the rise of directory websites and programmatic SEO, and how no-code platforms like Lovable and Bolt.new are empowering non-technical founders to bring their app ideas to life.Questions This Episode Answers:• What AI tools (like LLMs) do you use and for what specific purposes?• Why do you think people are "sleeping on" Gemini?• How can AI be utilized for web scraping and data acquisition?• What are some good types of app ideas to start with when using no-code or low-code tools?• How can I leverage my existing content (like podcast episodes) using AI?Enjoy the conversation!__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 Automating Data Collection for Real Estate02:59 Exploring AI Tools and Their Applications05:48 Building AI-Powered Web Scrapers09:10 The Future of Programmatic SEO12:07 Leveraging AI for Business Ideas14:54 Creating Chatbots for Business Analysis17:45 Building Without Coding: New Possibilities21:08 Frameworks for Identifying Business Opportunities
Last week saw the return of the European Coffee Symposium (ECS) + COHO in Berlin. Across three days, we welcomed 50 influential speakers from around the world to share their insights, inspiration, and bold ideas shaping the future of coffee and hospitality.Over the coming weeks, we'll bring you a collection of these unfiltered conversations, panel discussions and keynote sessions – direct from the ECS + COHO stages. And what better place to begin, than with a talk from James Hoffmann – a pioneer of specialty coffee and one of the most respected thinkers in our industry.In this talk, James explores the evolving dynamics shaping coffee - asking whether we've reached “peak coffee geek” at home, and the dangers of being stuck in the middle market. He also shares his thoughts on AI and Large Language Models in social media, and champions the coffee shop's timeless value as a space for humanity.Credits music: "Wake Up (And Smell the Coffee)" by Lexie in association with The Coffee Music Project and SEB Collective. Tune into the 5THWAVE Playlist on Spotify for more music from the showSign up for our newsletter to receive the latest coffee news at worldcoffeeportal.comSubscribe to 5THWAVE on Instagram @5thWaveCoffee and tell us what topics you'd like to hear
Fei-Fei Li is a Stanford professor, co-director of Stanford Institute for Human-Centered Artificial Intelligence, and co-founder of World Labs. She created ImageNet, the dataset that sparked the deep learning revolution. Justin Johnson is her former PhD student, ex-professor at Michigan, ex-Meta researcher, and now co-founder of World Labs.Together, they just launched Marble—the first model that generates explorable 3D worlds from text or images.In this episode Fei-Fei and Justin explore why spatial intelligence is fundamentally different from language, what's missing from current world models (hint: physics), and the architectural insight that transformers are actually set models, not sequence models. Resources:Follow Fei-Fei on X: https://x.com/drfeifeiFollow Justin on X: https://x.com/jcjohnssFollow Shawn on X: https://x.com/swyxFollow Alessio on X: https://x.com/fanahova Stay Updated:If you enjoyed this episode, please be sure to like, subscribe, and share with your friends.Follow a16z on X: https://x.com/a16zFollow a16z on LinkedIn:https://www.linkedin.com/company/a16zFollow the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXFollow the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details, please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
In this episode, Adam Butler is joined by guest Mike Green to discuss his viral Substack articles on the American affordability crisis. The conversation explores the significant gap between official economic statistics, like CPI, and the lived financial reality for the middle class, a phenomenon Green argues is often dismissed by an expert "mockery machine." They also discuss the use of LLMs in his research process and debate potential policy solutions to address widespread economic precarity.Topics Discussed• The use of Large Language Models (LLMs) as productivity tools for research and writing.• A critique of the "mockery machine" in public discourse that dismisses legitimate concerns about the cost of living• The disconnect between formal economic definitions of inflation and the public's lived experience of unaffordability• The concept of a "precarity line" for a modern family versus the technical definition of a poverty line• The economic pressures leading to "ghost households," where young people forgo having children due to high costs• Flaws in economic metrics like the CPI, particularly how quality adjustments mask the true rise in essential costs• The societal gaslighting by the economic establishment and its political consequences.• The "Valley of Death" or benefits cliff, where withdrawing government support creates a barrier to entering the middle class• Debating policy solutions like tariffs, direct government investment, and incentive-based programs to address economic precarity
This is Vibe Coding 001. Have you ever wanted to build your own software or apps that can just kinda do your work for you inside of the LLM you use but don't know where to start? Start here. We're giving it all away and making it as simple as possible, while also hopefully challenging how you think about work. Join us. Beginner's Guide: How to visualize data with AI in ChatGPT, Gemini and Claude -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Combining Multiple Features in Large Language ModelsVisualizing Data in ChatGPT, Gemini, and ClaudeCreating Custom GPTs, Gems, and ProjectsUploading Files for Automated Data DashboardsComparing ChatGPT Canvas, Gemini Canvas, and Claude ArtifactsUsing Agentic Capabilities for Problem SolvingVisualizing Meeting Transcripts and Unstructured DataOne-Shot Mini App Creation with AITimestamps:00:00 "Unlocking Superhuman LLM Capabilities"04:12 Custom AI Model and Testing07:18 "Multi-Mode Control for LLMs"12:33 "Intro to Vibe Coding"13:19 "Streamlined AI for Simplification"19:59 Podcast Analytics Simplified21:27 "ChatChibuty vs. Google Gemini"26:55 "Handling Diverse Data Efficiently"28:50 "AI for Actionable Task Automation"33:12 "Personalized Dashboard for Meetings"36:21 Personalized Automated Workflow Solution40:00 "AI Data Visualization Guide"40:38 "Everyday AI Wrap-Up"Keywords:ChatGPT, Gemini, Claude, data visualization with AI, visualize data using AI, Large Language Models, LLM features, combining LLM modes, custom instructions, GPTs, Gems, Anthropic projects, canvas mode, interactive dashboards, agentic models, code rendering, meeting transcripts visualization, SOP visualization, document analysis, unstructured data, structured insights, generative AI workflows, personalized dashboards, automated reporting, chain of thought reasoning, one-shot visualizations, data-driven decision-making, non-technical business leaders, micro apps, AI-powered interfaces, action items extraction, iterative improvement, multimodal AI, Opus 4.5, Five One Thinking, Gemini 3 Pro, artifacts, demos over memos, bespoke software, digital transformation, automated analyticsSend 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
What does it take to be ready to deploy M365 Copilot in your organization? Richard talks to Nikki Chapple about her latest incarnation of the M365 Copilot Readiness Checklist, working step-by-step to bring M365 Copilot into the organization without causing data leak issues. Nikki discusses utilizing existing tools to accurately identify sensitive data, archiving outdated information, and monitoring data usage by both users and agents - allowing you to detect issues before they escalate. The conversation also delves into the process of identifying issues, discussing policy changes, and how to communicate those changes so that people can take advantage of the power of these new tools without feeling threatened. It's a journey!LinksMicrosoft PurviewSharePoint Advanced ManagementDefender for Cloud AppsRestricted SharePoint SearchMicrosoft 365 ArchiveSharePoint Restricted Content DiscoveryData Security Posture Management for AINikki's Readiness ChecklistM365 Copilot Oversharing BlueprintMicrosoft Purview Secure by Default BlueprintPrevent Data Leaks to Shadow AI BlueprintRecorded November 7, 2025
Dr. Sid Dogra talks with Dr. Paul Yi about the safe use of large language models and other generative AI tools in radiology, including evolving regulations, data privacy concerns, and bias. They also discuss practical steps departments can take to evaluate vendors, protect patient information, and build a long term culture of responsible AI use. Best Practices for the Safe Use of Large Language Models and Other Generative AI in Radiology. Yi et al. Radiology 2025; 316(3):e241516.
Il faut réagir et vite.La thèse de Laurent Alexandre est simple mais inquiétante : nos systèmes éducatifs et politiques sont — pour l'instant — incapables de s'adapter à la révolution technologique sans précédent qu'est l'IA.Depuis que les Large Language Model ont tous dépassé les 150 de QI, la donne a radicalement changé.L'homme, pour la première fois depuis son apparition, n'est plus l'espèce la plus intelligente de la planète Terre.Et les investissements colossaux des géants de la tech dans l'IA ne font que creuser le fossé qui nous sépare désormais de la machine.Qui dit nouveau paradigme dit nouveau livre : Laurent et et son co-auteur Olivier Babeau considèrent qu'en dehors des 20 écoles les plus prestigieuses du monde, il n'est plus utile de faire des études.Et que “le vrai capital aujourd'hui, c'est l'action”.Autrement dit : l'élite sera constituée de ceux qui s'approprient l'IA le plus tôt (dès la maternelle) et l'utilisent le plus intensément. Et non de ceux qui font 10 ans d'études supérieures.Pour son 3ème passage sur GDIY, Laurent — comme à son habitude — n'épargne rien ni personne :Pourquoi l'IA amplifie à grande échelle les inégalités intellectuelles — et comment y remédierComment se créer son propre I-AristotePourquoi il faut limoger tous les ministres et hauts fonctionnaires qui ne comprennent pas l'IAComment l'espérance de vie peut doubler d'ici 2030.Un épisode crucial pour ne pas être dépassé et savoir comment être du côté des gagnants dans cette révolutionVous pouvez contacter Laurent sur X et le suivre sur ses autres réseaux : Instagram et Linkedin.“Ne faites plus d'études : Apprendre autrement à l'ère de l'IA” est disponible dans toutes les bonnes librairies ou juste ici : https://amzn.to/4ahLYEBTIMELINE:00:00:00 : Le fossé social créé par la révolution technologique00:12:32 : Pourquoi le niveau général des politiques sur l'IA est désastreux ?00:20:06 : Bien prompter et minimiser les hallucinations des modèles00:25:49 : “Le monde de l'IA n'est pas fait pour les feignasses”00:36:46 : Le plus gros amplificateur d'inégalités de l'histoire00:43:04 : Fournir une IA tuteur personnalisée à chaque enfant00:53:41 : Les LLM ont-ils vraiment des biais cognitifs ?01:03:16 : 1 vs 2900 milliards : l'écart abyssal des investissements entre les US et l'Europe01:14:36 : Que valent les livres écrits en intégralité par des IA ?01:20:39 : L'ère des premiers robots plombiers01:27:45 : Les 4 grands conseils de Laurent et Olivier01:35:33 : Comment aider nos enfants à bien s'approprier les outils01:44:20 : Pourquoi les écoles du supérieur sont de moins en moins sélectives ?02:01:28 : La théorie de “l'internet mort”Les anciens épisodes de GDIY mentionnés : #327 - Laurent Alexandre - Auteur - ChatGPT & IA : “Dans 6 mois, il sera trop tard pour s'y intéresser”#165 - Laurent Alexandre - Doctissimo - La nécessité d'affirmer ses idées#487 - VO - Anton Osika - Lovable - Internet, Business, and AI: Nothing Will Ever Be the Same Again#500 - Reid Hoffman - LinkedIn, Paypal - How to master humanity's most powerful invention#501 - Delphine Horvilleur - Rabbin, Écrivaine - Dialoguer quand tout nous divise#506 - Matthieu Ricard - Moine bouddhiste - Se libérer du chaos extérieur sans se couper du monde#450 - Karim Beguir - InstaDeep - L'IA Générale ? C'est pour 2025#397 - Yann Le Cun - Chief AI Scientist chez Meta - l'Intelligence Artificielle Générale ne viendra pas de Chat GPTNous avons parlé de :Olivier Babeau, le co-auteur de LaurentIntroduction à la pensée de Teilhard de ChardinLa théorie de l'internet mortLes recommandations de lecture :La Dette sociale de la France : 1974 - 2024 - Nicolas DufourcqNe faites plus d'études : Apprendre autrement à l'ère de l'IA - Laurent Alexandre et Olivier BabeauL'identité de la France - Fernand BraudelGrammaire des civilisations - Fernand BraudelChat GPT va nous rendre immortel - Laurent AlexandreUn grand MERCI à nos sponsors : SquareSpace : squarespace.com/doitQonto: https://qonto.com/r/2i7tk9 Brevo: brevo.com/doit eToro: https://bit.ly/3GTSh0k Payfit: payfit.com Club Med : clubmed.frCuure : https://cuure.com/product-onelyVous souhaitez sponsoriser Génération Do It Yourself ou nous proposer un partenariat ?Contactez mon label Orso Media via ce formulaire.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
Our 226th episode with a summary and discussion of last week's big AI news!Recorded on 11/24/2025Hosted by Andrey Kurenkov and co-hosted by Michelle LeeFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode: New AI model releases include Google's Gemini 3 Pro, Anthropic's Opus 4.5, and OpenAI's GPT-5.1, each showcasing significant advancements in AI capabilities and applications.Robotics innovations feature Sunday Robotics' new robot Memo and a $600M funding round for Visual Intelligence, highlighting growth and investment in the robotics sector.AI safety and policy updates include Europe's proposed changes to GDPR and AI Act regulations, and reports of AI-assisted cyber espionage by a Chinese state-sponsored group.AI-generated content and legal highlights involve settlements between Warner Music Group and AI music platform UDIO, reflecting evolving dynamics in the field of synthetic media.Timestamps:(00:00:10) Intro / Banter(00:01:32) News Preview(00:02:10) Response to listener commentsTools & Apps(00:02:34) Google launches Gemini 3 with new coding app and record benchmark scores | TechCrunch(00:05:49) Google launches Nano Banana Pro powered by Gemini 3(00:10:55) Anthropic releases Opus 4.5 with new Chrome and Excel integrations | TechCrunch(00:15:34) OpenAI releases GPT-5.1-Codex-Max to handle engineering tasks that span twenty-four hours(00:18:26) ChatGPT launches group chats globally | TechCrunch(00:20:33) Grok Claims Elon Musk Is More Athletic Than LeBron James — and the World's Greatest LoverApplications & Business(00:24:03) What AI bubble? Nvidia's strong earnings signal there's more room to grow(00:26:26) Alphabet stock surges on Gemini 3 AI model optimism(00:28:09) Sunday Robotics emerges from stealth with launch of ‘Memo' humanoid house chores robot(00:32:30) Robotics Startup Physical Intelligence Valued at $5.6 Billion in New Funding - Bloomberg(00:34:22) Waymo permitted areas expanded by California DMV - CBS Los Angeles - Waymo enters 3 more cities: Minneapolis, New Orleans, and Tampa | TechCrunchProjects & Open Source(00:37:00) Meta AI Releases Segment Anything Model 3 (SAM 3) for Promptable Concept Segmentation in Images and Videos - MarkTechPost(00:40:18) [2511.16624] SAM 3D: 3Dfy Anything in Images(00:42:51) [2511.13998] LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software EngineeringResearch & Advancements(00:45:10) [2511.08544] LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics(00:50:08) [2511.13720] Back to Basics: Let Denoising Generative Models DenoisePolicy & Safety(00:52:08) Europe is scaling back its landmark privacy and AI laws | The Verge(00:54:13) From shortcuts to sabotage: natural emergent misalignment from reward hacking(00:58:24) [2511.15304] Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models(01:01:43) Disrupting the first reported AI-orchestrated cyber espionage campaign(01:04:36) OpenAI Locks Down San Francisco Offices Following Alleged Threat From Activist | WIREDSynthetic Media & Art(01:07:02) Warner Music Group Settles AI Lawsuit With UdioSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Wildest week in AI since December 2024.
What does it take to build tech the world actually trusts? Wikipedia founder Jimmy Wales joins the crew to dig into the real crisis behind AI, social networks, and the web: trust, and how to build it when the stakes are global. Teen founders raise $6M to reinvent pesticides using AI — and convince Paul Graham to join in Introducing SlopStop: Community-driven AI slop detection in Kagi Search Part 1: How I Found Out $1 billion AI company co-founder admits that its $100 a month transcription service was originally 'two guys surviving on pizza' and typing out notes by hand His announcement leaving Meta White House Working on Executive Order to Foil State AI Regulations Nvidia stock soars after results, forecasts top estimates with sales for AI chips 'off the charts' Jeff Bezos Creates A.I. Start-Up Where He Will Be Co-Chief Executive Jack Conte: I'm Building an Algorithm That Doesn't Rot Your Brain AI love, actually Cat island road trip: liquidator's warehouse Gentype The Carpenter's Son... My excerpt from the Q&A Image of the paper Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jimmy Wales Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit zapier.com/machines agntcy.org spaceship.com/twit
What does it take to build tech the world actually trusts? Wikipedia founder Jimmy Wales joins the crew to dig into the real crisis behind AI, social networks, and the web: trust, and how to build it when the stakes are global. Teen founders raise $6M to reinvent pesticides using AI — and convince Paul Graham to join in Introducing SlopStop: Community-driven AI slop detection in Kagi Search Part 1: How I Found Out $1 billion AI company co-founder admits that its $100 a month transcription service was originally 'two guys surviving on pizza' and typing out notes by hand His announcement leaving Meta White House Working on Executive Order to Foil State AI Regulations Nvidia stock soars after results, forecasts top estimates with sales for AI chips 'off the charts' Jeff Bezos Creates A.I. Start-Up Where He Will Be Co-Chief Executive Jack Conte: I'm Building an Algorithm That Doesn't Rot Your Brain AI love, actually Cat island road trip: liquidator's warehouse Gentype The Carpenter's Son... My excerpt from the Q&A Image of the paper Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jimmy Wales Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit zapier.com/machines agntcy.org spaceship.com/twit
What does it take to build tech the world actually trusts? Wikipedia founder Jimmy Wales joins the crew to dig into the real crisis behind AI, social networks, and the web: trust, and how to build it when the stakes are global. Teen founders raise $6M to reinvent pesticides using AI — and convince Paul Graham to join in Introducing SlopStop: Community-driven AI slop detection in Kagi Search Part 1: How I Found Out $1 billion AI company co-founder admits that its $100 a month transcription service was originally 'two guys surviving on pizza' and typing out notes by hand His announcement leaving Meta White House Working on Executive Order to Foil State AI Regulations Nvidia stock soars after results, forecasts top estimates with sales for AI chips 'off the charts' Jeff Bezos Creates A.I. Start-Up Where He Will Be Co-Chief Executive Jack Conte: I'm Building an Algorithm That Doesn't Rot Your Brain AI love, actually Cat island road trip: liquidator's warehouse Gentype The Carpenter's Son... My excerpt from the Q&A Image of the paper Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jimmy Wales Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: ventionteams.com/twit zapier.com/machines agntcy.org spaceship.com/twit
You ever see a new AI model drop and be like.... it's so good OMG how do I use it?
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