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Your next chatbot doesn't need the cloud. Mikah Sargent installs a free app, downloads an AI model, turns off the Wi-Fi, and keeps right on chatting, all on an ordinary computer. Along the way, he explains how to read a model listing, including what the size and "Q4" labels mean, so you can pick a model that runs well on your own machine. Then the local model goes head-to-head with a cloud assistant to see where it holds up and where it falls short. Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Recruiting Evolution is the next chapter of The Full Desk Experience, bringing you the same candid conversations and practical insights with a new name and look built for where recruiting is headed.AI for staffing firms has moved from experimentation to everyday use, but many teams are still treating it as little more than a faster writing tool. The real opportunity comes from giving AI the right context, building it into repeatable processes, and using it to create sales and marketing that actually stands out.In this episode, originally recorded as part of the FDE+ event series, Kortney Harmon is joined by Brad Smith, Chief Strategy Officer at Haley Marketing. Brad explains why so many staffing firms are getting generic results from AI and shares practical frameworks, real-world case studies, and strategies firms can use to strengthen buyer engagement, build authority, and drive measurable growth._____Follow Brad Smith on LinkedIn: LinkedIn | BradLearn more about Haley MarketingFollow Crelate on LinkedIn: CrelateWant to learn more about Crelate? Book a demo hereSubscribe to our newsletter: The Full Desk Experience
How is artificial intelligence changing cybersecurity and penetration testing? Richard talks to Paula Januszkiewicz about how her team now uses large language models throughout the security workflow, from vulnerability research and data analysis to penetration testing and incident response. Paula explains that AI hasn't replaced security professionals, but it has dramatically accelerated the work, making it possible to analyze more data, build better tools, and identify attack paths faster than ever before. The conversation also explores the defender's perspective, including monitoring, logging, incident response, and why organizations still need to eliminate insecure technologies like NTLM. AI is changing cybersecurity rapidly, but the fundamentals of security remain the same.LinksDefense at AI SpeedClaude MythosMicrosoft SentinelAutomatic Attack Disruption with Liz TeschRecorded Aug 26, 2026
In this episode of the BG Ideas Podcast hosted by Halima Lul Ali, a graduate research assistant with ICS, we'll be sitting down with Dr. Erik Garabaya Casado, a teaching professor of Spanish at BGSU's World Languages and Cultures department, as he discusses the future of language learning in relation to the rise of generative AI. Listen along as Dr. Garabaya explains how generative AI can help raise critical language awareness. Also, find out why he has an open mind when it comes to translanguaging. Dr. Garabaya also brings light to how teachers can navigate discussions about dialects and how they are stigmatized by English and Spanish speakers alike, as well as by Large Language Models. Finally, dive into students' surprising responses to AI's integration into language classes and what the future of language learning will look like at the college level if generative AI continues to grow in popularity amongst teachers.A transcript for this episode can be found here.
¿Y si el apocalipsis no empieza con robots destruyendo el mundo… sino con una IA que aprende a mentir, chantajear y protegerse para no ser reemplazada?
Len Ward, founder and CEO of Comexys on the shift from search-and-retrieve to solve-my-problem Large Language Models. The former stockbroker at Morgan Stanley and VP of Institutional Equity Sales and Trading at Credit Suisse has developed a strong ability to anticipate market trends over his career, and predicts a large rise in the number of entrepreneurs leveraging AI to build businesses. The future, he says, will combine AI and blockchain due to its potential in verifying collectibles' provenance and reducing fraud. And, he argues, business will recognise the role of Gen X in AI implementation because of their crystalised intelligence and industry experience. AI, he says, will be a rough ride for the next few years, but urges us to hold tight; its significant promise, particularly in medicine, is already beginning to change the world.
AI safety has dominated the news cycle for weeks, precipitated in part by an AI attack where a bunch of OpenAI's agents teamed up and hacked another AI platform, Hugging Face, without humans knowing. Since then, multiple AI researchers have come forward to say they're worried this tech is unsafe. It seems every day there's a new development: another warning from an AI researcher, an admission from a top lab that their AI systems breached another company, reassurances from CEOs. AI safety is even on the agenda for the UN General Assembly meeting this week. So how do we make sense of what's happening in AI research right now?Flora sits down with two researchers focusing on the engineering of AI safety: Andrea Lincoln, who studies how to mathematically understand the internal processes of AI models; and cryptographer Vinod Vaikuntanathan, who researches trust and security concerns in AI models.GUESTS:Dr. Vinod Vaikuntanathan is a cryptographer at MIT and a founding member of the Institute for Responsible Superintelligence. Dr. Andrea Lincoln is a professor of computer science at Boston University and an advisory board member for The Alignment Project at the AI Security Institute.Image credit: Deborah Lupton / https://betterimagesofai.org / https://creativecommons.org/licenses/by/4.0/Transcripts for each episode are available within 1-3 days at sciencefriday.com. Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that's keeping you up at night? Call us: 877-472-4374 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
“Most teams leave the vast majority of their innovation potential on the table.”If you treat artificial intelligence like an oracle, you'll likely be disappointed. But treat it like a teammate, and Jeremy Utley and Kian Gohar say you may be surprised by how useful a collaborator it can be. Utley, an adjunct professor at the Stanford d.school, and Gohar, a bestselling author and futurist, have studied how teams can use AI to generate more creative ideas and solve problems. Their research shows that tools like ChatGPT can unlock new possibilities, but only when teams know how to work with them. In this episode of Think Fast, Talk Smart, Utley and Gohar join Matt Abrahams to discuss how to move beyond treating AI like a magic 8-ball and start using it as a creative partner for brainstorming and innovation.Takeaways:Treat AI like a teammate, not an oracle. AI becomes more useful when you actively collaborate with it, asking questions, building on responses, and using it as a partner rather than expecting one perfect answer.Better AI collaboration can unlock better ideas. Integrating AI into brainstorming and problem-solving can help teams expand their thinking, generate more possibilities, and tap into creative potential they might otherwise leave unexplored.Activity:Give AI a seat at the table. During your next brainstorm, treat AI as another member of the team. Ask it to contribute ideas, challenge the group's assumptions, or suggest a direction no one has considered yet.Episode Reference Links:Jeremy UtleyJeremy's Book: IdeaflowKian GoharKian's Book: Competing In The New World Of WorkConnect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedIn Chapters:(00:00) - Introduction (01:43) - AI and Problem-Solving (04:13) - What the Research Revealed (05:18) - Why Better AI Takes More Work (08:40) - The FIXIT Method (13:10) - Better Conversations With AI (16:07) - Making AI Critique Itself (18:45) - The Final Three Questions (24:35) - Conclusion ********Thank you to our sponsors. These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost.Strawberry.me. Get 50% off your first coaching session today at Strawberry.me/smartJoin our Think Fast Talk Smart Learning Community and become the communicator you want to be.
Forget large language models. This episode uncovers a radically different approach to AI, where physics-guided reasoning and energy-based models are reshaping what machines can actually understand—and why that could unlock breakthroughs mainstream AIs keep missing. Claude Opus 5.5 and OpenAI GPT-6 Sol & Luna both launch today with lower costs Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-day Two Google DeepMind AI Researchers Resign Over Safety MetaConnect on during the show Google fully details Googlebooks: $899+, October launch, & more Introducing MiMo-V2.6 series Google CC I'm Upping My P(Doom) Handshake AI Skills Studio/OpenAI Brian Johnsrud Introducing The Horowitz Andreessen Academy On 'Cupertino,' Creators of the 'The Good Wife' Go to Silicon Valley Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Patrick Hillmann 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 Sponsors: trustedtech.team/twit scribe.how/machines originhq.com/intelligentmachines
Forget large language models. This episode uncovers a radically different approach to AI, where physics-guided reasoning and energy-based models are reshaping what machines can actually understand—and why that could unlock breakthroughs mainstream AIs keep missing. Claude Opus 5.5 and OpenAI GPT-6 Sol & Luna both launch today with lower costs Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-day Two Google DeepMind AI Researchers Resign Over Safety MetaConnect on during the show Google fully details Googlebooks: $899+, October launch, & more Introducing MiMo-V2.6 series Google CC I'm Upping My P(Doom) Handshake AI Skills Studio/OpenAI Brian Johnsrud Introducing The Horowitz Andreessen Academy On 'Cupertino,' Creators of the 'The Good Wife' Go to Silicon Valley Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Patrick Hillmann 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 Sponsors: trustedtech.team/twit scribe.how/machines originhq.com/intelligentmachines
Forget large language models. This episode uncovers a radically different approach to AI, where physics-guided reasoning and energy-based models are reshaping what machines can actually understand—and why that could unlock breakthroughs mainstream AIs keep missing. Claude Opus 5.5 and OpenAI GPT-6 Sol & Luna both launch today with lower costs Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-day Two Google DeepMind AI Researchers Resign Over Safety MetaConnect on during the show Google fully details Googlebooks: $899+, October launch, & more Introducing MiMo-V2.6 series Google CC I'm Upping My P(Doom) Handshake AI Skills Studio/OpenAI Brian Johnsrud Introducing The Horowitz Andreessen Academy On 'Cupertino,' Creators of the 'The Good Wife' Go to Silicon Valley Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Patrick Hillmann 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 Sponsors: trustedtech.team/twit scribe.how/machines originhq.com/intelligentmachines
Forget large language models. This episode uncovers a radically different approach to AI, where physics-guided reasoning and energy-based models are reshaping what machines can actually understand—and why that could unlock breakthroughs mainstream AIs keep missing. Claude Opus 5.5 and OpenAI GPT-6 Sol & Luna both launch today with lower costs Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-day Two Google DeepMind AI Researchers Resign Over Safety MetaConnect on during the show Google fully details Googlebooks: $899+, October launch, & more Introducing MiMo-V2.6 series Google CC I'm Upping My P(Doom) Handshake AI Skills Studio/OpenAI Brian Johnsrud Introducing The Horowitz Andreessen Academy On 'Cupertino,' Creators of the 'The Good Wife' Go to Silicon Valley Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Patrick Hillmann 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 Sponsors: trustedtech.team/twit scribe.how/machines originhq.com/intelligentmachines
Forget large language models. This episode uncovers a radically different approach to AI, where physics-guided reasoning and energy-based models are reshaping what machines can actually understand—and why that could unlock breakthroughs mainstream AIs keep missing. Claude Opus 5.5 and OpenAI GPT-6 Sol & Luna both launch today with lower costs Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-day Two Google DeepMind AI Researchers Resign Over Safety MetaConnect on during the show Google fully details Googlebooks: $899+, October launch, & more Introducing MiMo-V2.6 series Google CC I'm Upping My P(Doom) Handshake AI Skills Studio/OpenAI Brian Johnsrud Introducing The Horowitz Andreessen Academy On 'Cupertino,' Creators of the 'The Good Wife' Go to Silicon Valley Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Patrick Hillmann 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 Sponsors: trustedtech.team/twit scribe.how/machines originhq.com/intelligentmachines
Forget large language models. This episode uncovers a radically different approach to AI, where physics-guided reasoning and energy-based models are reshaping what machines can actually understand—and why that could unlock breakthroughs mainstream AIs keep missing. Claude Opus 5.5 and OpenAI GPT-6 Sol & Luna both launch today with lower costs Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-day Two Google DeepMind AI Researchers Resign Over Safety MetaConnect on during the show Google fully details Googlebooks: $899+, October launch, & more Introducing MiMo-V2.6 series Google CC I'm Upping My P(Doom) Handshake AI Skills Studio/OpenAI Brian Johnsrud Introducing The Horowitz Andreessen Academy On 'Cupertino,' Creators of the 'The Good Wife' Go to Silicon Valley Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Patrick Hillmann 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 Sponsors: trustedtech.team/twit scribe.how/machines originhq.com/intelligentmachines
Forget large language models. This episode uncovers a radically different approach to AI, where physics-guided reasoning and energy-based models are reshaping what machines can actually understand—and why that could unlock breakthroughs mainstream AIs keep missing. Claude Opus 5.5 and OpenAI GPT-6 Sol & Luna both launch today with lower costs Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-day Two Google DeepMind AI Researchers Resign Over Safety MetaConnect on during the show Google fully details Googlebooks: $899+, October launch, & more Introducing MiMo-V2.6 series Google CC I'm Upping My P(Doom) Handshake AI Skills Studio/OpenAI Brian Johnsrud Introducing The Horowitz Andreessen Academy On 'Cupertino,' Creators of the 'The Good Wife' Go to Silicon Valley Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Patrick Hillmann 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 Sponsors: trustedtech.team/twit scribe.how/machines originhq.com/intelligentmachines
What is the fundamental difference between statistical models and true human intelligence? In this throwback episode of The Edge of AI Podcast, host Ron Levy sits down with Peter Voss, the pioneer, engineer, and scientist who actually coined the term AGI (Artificial General Intelligence) back in 2001.Peter shares the origin story behind naming AGI to distinguish real "thinking machines" from single-use narrow AI systems. He breaks down DARPA's "Three Waves of AI," explaining why current Large Language Models (LLMs) act as externalized statistical tools rather than fluid, real-time adaptive intelligences.Discover Peter's work with Aigo.ai, a proto-AGI engine built on Cognitive AI. Learn how his team successfully automated 3,000 call center agents during Valentine's Day rushes and why he believes true AGI requires cognitive metacognition, concept formation, and a fraction of the energy that modern LLMs consumeSupport us through our Sponsors! ☕ Want to make content like ours? Sign up with Castmagic to make your creative process easy: https://bit.ly/CastmagicReferral Work smarter, grow faster. Automate your SEO, get AI insights, and manage all your clients in one place with Helm. Start today 50% off your first month at helmseo.comOpenmax provides dedicated AI employees for copywriting, research, social media, CRM and more — double your team's efficiency.Use Our link for an exclusive 5% off your first order:
AI Search is changing how people look for your company. Many of the searches are not even human now. How do you optimize your company to rank with Chat GOT, Claude, Gemini, Co-Pilot and other Large Language Model searches? My guest today, Cassie Egli, gives you the steps to make AI searches productive for your company and you. Free P&L Statement and Balance Sheet https://tinyurl.com/2rjd6wxu Ruth King Facebook - https://www.facebook.com/ruthking1650 LinkedIn - https://www.linkedin.com/in/ruthking1/ Podcast Produced by Nick Uttam https://www.linkedin.com/in/nick-uttam-4b33a1147
Qwen, Muse Glimmer, Ollama, llama.cpp, quantization, mixture-of-experts, RAG, tokens per second. On Hands-On AI, those aren't buzzwords — Mikah Sargent will explain exactly what they mean, then put them to work on hardware you already own. No cloud, no account, no data, leaving your desk. Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Hi everyone, it's your host Russ. As summer winds down and everyone heads into a new season, I wanted to share something a little different. Recently, I sat down with Matt Abrahams, host of the podcast Think Fast, Talk Smart and a lecturer at Stanford's Graduate School of Business. We traded seats and I took the guest chair while Matt interviewed me about the future of communication in the age of AI. We're excited to re-run this episode today and whether you're writing a pitch, prepping for a tough conversation, or just curious how AI is changing the way we talk to each other, this one's a great listen.Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:Stanford Profile: Russ Altman | Matt AbrahamsLearn more about Think Fast Talk SmartConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / FacebookChapters:(00:00:00) IntroductionRuss Altman introduces this feed-drop episode from Think Fast, Talk Smart, where he joins Matt Abrahams to discuss communication in the age of AI.(00:01:41) The Future of CommunicationWhy AI may amplify strong communication rather than replace authentic human messages.(00:03:23) Using AI as a Communication ToolHow AI can help adjust language for different audiences, flag jargon, and improve clarity.(00:04:00) AI as a Pre-EditorHow Russ uses large language models to critique and strengthen his writing before sharing it with colleagues.(00:05:04) Structuring a Strong ProposalHow to align with your audience's mission, define the problem, and clearly show the path forward.(00:07:06) Making Complex Ideas AccessibleWhy stories, analogies, and audience awareness help make technical information easier to understand.(00:09:41) Preparing for Tough MomentsWhy anticipating difficult concepts, questions, and conversations can make communication more effective.(00:11:57) Asking Better QuestionsWhy specificity and strong follow-up questions can guide more meaningful conversations.(00:12:51) Questions as OpportunitiesHow questions can communicate curiosity, engagement, and respect rather than criticism.(00:15:01) Building Effective TeamsHow shared goals, relationships, diversity, and clear roles support collaboration.(00:17:55) Productive ConflictHow leaders can encourage rigorous disagreement without damaging trust.(00:19:37) Finding People's PassionWhat hosting The Future of Everything taught Russ about understanding what motivates people.(00:21:00) Looking to the FutureWhy young people give Russ hope about what comes next.(00:22:13) A Communicator to AdmireWhy Russ credits his father with shaping his own approach to communication.(00:23:06) Three Ingredients for Better CommunicationKnow your audience, be specific, and bring a sense of joy to the conversation.(00:24:07) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Qwen, Muse Glimmer, Ollama, llama.cpp, quantization, mixture-of-experts, RAG, tokens per second. On Hands-On AI, those aren't buzzwords — Mikah Sargent will explain exactly what they mean, then put them to work on hardware you already own. No cloud, no account, no data, leaving your desk. Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Florian and Esther discuss what mattered in language solutions and AI over the past few weeks, including key takeaways from SlatorCon San Francisco 2026, where AI ran through discussions across enterprise localization, voice AI, interpreting, data-for-AI, media localization, and venture capital.Florian covers Smartling's majority investment from Vitruvian Partners as a positive development after a quieter period for language-related deals. He notes that Smartling plans to use the backing to expand AI translation and agentic localization, accelerate global growth, and pursue acquisitions.Florian examines early translation benchmarks for OpenAI's latest model, GPT-6 Astra. He cites sources that find Astra performing well in multilingual performance but still shows some weaknesses on difficult translation tasks. He argues that expert oversight remains important for critical use cases.Esther breaks down Appen's first-half results, highlighting strong growth in China driven partly by generative AI projects alongside continued pressure in its global business. She also looks at AI-Media's continued shift from captioning services toward recurring technology and SaaS revenue.Florian turns to AMN Healthcare's language services business, where interpreting volumes were flat, and pricing pressure weighed on revenue. He also addresses Straker's financial difficulties following the discovery of roughly USD 5m in misappropriated funds.
Qwen, Muse Glimmer, Ollama, llama.cpp, quantization, mixture-of-experts, RAG, tokens per second. On Hands-On AI, those aren't buzzwords — Mikah Sargent will explain exactly what they mean, then put them to work on hardware you already own. No cloud, no account, no data, leaving your desk. Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Qwen, Muse Glimmer, Ollama, llama.cpp, quantization, mixture-of-experts, RAG, tokens per second. On Hands-On AI, those aren't buzzwords — Mikah Sargent will explain exactly what they mean, then put them to work on hardware you already own. No cloud, no account, no data, leaving your desk. Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Qwen, Muse Glimmer, Ollama, llama.cpp, quantization, mixture-of-experts, RAG, tokens per second. On Hands-On AI, those aren't buzzwords — Mikah Sargent will explain exactly what they mean, then put them to work on hardware you already own. No cloud, no account, no data, leaving your desk. Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
“If you're worried that a ChatGPT type tool can replace you, you need to [ask]: Why am I communicating? What am I trying to say? Am I being authentic?”Artificial intelligence can now do a lot of things. But if you're worried about it taking your place as a communicator, Russ Altman says you need to question why you're communicating in the first place. A Stanford professor of bioengineering and host of Stanford Engineering's podcast, The Future of Everything, Altman sees advancing technology not as a threat to human creativity and connection, but as a tool for raising our standards for communication. In this Rethinks episode of Think Fast, Talk Smart, Altman and Matt Abrahams discuss how effective communication can help us articulate ideas, strengthen connections, and navigate toward the future we want.Takeaways:AI works best as an amplifier, not a replacement. Using AI to test, refine, and adapt your ideas can make communication clearer while keeping your purpose, judgment, and authentic message at the center.Make complexity easier to understand, not less meaningful. Stories, analogies, and audience-aware language can translate difficult ideas without dumbing them down.Activity:Treat questions as gifts. The next time someone questions your idea, resist the urge to defend it. Instead, thank them and ask one follow-up question to better understand their perspective before responding.Episode Reference Links:Russ AltmanRuss's Podcast: The Future of EverythingEp.157 Communicating the Future: Defining Where We Want AI to Take Us Connect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedIn Chapters:(00:00) - Introduction (01:41) - AI and Communication (03:46) - AI as a Feedback Tool (04:48) - Structuring a Strong Proposal (06:48) - Simplifying Complex Ideas (09:12) - Preparing for Tough Topics (10:53) - Asking Better Questions (13:43) - Building Stronger Teams (16:21) - Productive Conflict (17:53) - Finding People's Passion (18:43) - The Final Three Questions (22:06) - Conclusion ********Thank you to our sponsors. These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost.With Hiring Pro, you can hire with confidence, knowing you're getting the best talent for your needs. Get started by posting your job for free at linkedin.com/fastJoin our Think Fast Talk Smart Learning Community and become the communicator you want to be.
The Elective Rotation: A Critical Care Hospital Pharmacy Podcast
Show notes at pharmacyjoe.com/episode1166 In this episode, I'll discuss the performance evaluation of a large language model for medication management tasks.
AI is transforming staffing and recruiting, but that does not mean recruiters are becoming obsolete.In this FDE+ episode, Tom Erb, president of Tallann Resources, explores how recruiting technology has evolved and what professionals must do to remain valuable as AI and automation reshape the industry. Tom explains where AI can improve efficiency, accelerate candidate engagement, and give recruiters more time to focus on meaningful work.Learn why professional expertise, emotional intelligence, active listening, relationship-building, and continuous learning will separate future-ready recruiters from those who fall behind.___________Follow Tom Erb on LinkedIn: LinkedIn | TomFollow Crelate on LinkedIn: CrelateWant to learn more about Crelate? Book a demo hereSubscribe to our newsletter: The Full Desk Experience
Human beings want to make sense of chaos. We want explanations, patterns, and some sense that we know what is coming next. However, wanting an explanation does not necessarily mean wanting what is true and factual. That was one of the ideas that stood out to me during my conversation with Oxford professor Carissa Véliz. Her latest book Prophecy, Prediction, Power, and the Fight for the Future: From Ancient Oracles to AI covers the ethics of AI, privacy, and the ways power and influence shape technology and vice versa. Her work takes a much longer view of prediction by tracing the human desire to know the future from ancient oracles to algorithms. Véliz states that as human beings, we do not necessarily prefer what is true but rather what is familiar. So, when it comes to outsourcing more of our thinking to Large Language Models (LLMs) and possibly future artificial general intelligence (AGI) – defined as a hypothetical computer system that matches or exceeds human cognitive abilities across any domain – this is an important consideration. Prediction itself is not inherently bad; it's a core part of the scientific process. A hypothesis is a type of prediction itself. Within this process, we expect to observe something, but are open to it being challenged. This kind of prediction is something we carefully test, taking care that outside factors do not confuse the results and understand that it may not prove to be accurate or true. Yet, when it comes to predicting human behaviors and social dynamics, problems emerge. People are, inherently, impacted by predictions themselves, which can have an effect on future behavior, whereas something like a molecule or even the weather would not respond the same way.
The Metamorph. Season 2, Episode 1. First broadcast Saturday 4 September 1976. After just over six months, we're back, and all the members of the Moonbase Alpha crew who weren't killed off by the producers during the break are huddled in a cramped and airless cupboard some feet underground, awaiting the arrival of this week's alien threat — played by Brian Blessed dressed as a badger crossed with an onion — who has no desire to kill everyone on the base — preferring instead to enslave and lobotomise them all before using them to train his latest Large Language Model. Which seems fitting, given just how dumb everything has suddenly got.
Join Johannes Waldstein, CEO and Co-Founder of PiLogic, for an essential conversation on why generative AI and Large Language Models (LLMs) fall short in harsh, mission-critical environments like Low Earth Orbit and deep space. While statistical LLMs excel at language synthesis and pattern matching across vast historical datasets, orbital operations demand absolute mathematical precision. In space, a satellite failure is rarely a duplicate of a previously seen error—most catastrophic anomalies are novel, cross-system edge cases that no neural network has trained on. Drawing on two decades of experience founding fast-scaling AI and data science companies, Johannes explains why PiLogic bet on automated reasoning and exact AI over deep learning to safeguard multi-million-dollar space assets.
It's that time of year when it's time to start thinking about getting a planner for the coming year! I'm a big fan of paper planners. I've used one for over 35 years, and so I have some thoughts on what makes a paper planner perfect (say that 3x fast!)To start with, there is no PERFECT planner. The perfect planner is the one that you will use. It's different for everyone.In this episode I outline three things to consider when choosing a paper planner so that you can ensure it is perfect for you!
Depending on who you ask, AI is either going to save the world or end it. Mikah Sargent has a different take: it's a tool, and what matters is what you do with it. Every week on Hands-On AI, Mikah tests the tools everyone's talking about and tells you the truth — what's worth your time, what isn't, and what's actually going on under the hood. Hands-On AI launches Thursday, October 1. Subscribe at https://twit.tv/shows/hands-on-ai Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Depending on who you ask, AI is either going to save the world or end it. Mikah Sargent has a different take: it's a tool, and what matters is what you do with it. Every week on Hands-On AI, Mikah tests the tools everyone's talking about and tells you the truth — what's worth your time, what isn't, and what's actually going on under the hood. Hands-On AI launches Thursday, October 1. Subscribe at https://twit.tv/shows/hands-on-ai Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Depending on who you ask, AI is either going to save the world or end it. Mikah Sargent has a different take: it's a tool, and what matters is what you do with it. Every week on Hands-On AI, Mikah tests the tools everyone's talking about and tells you the truth — what's worth your time, what isn't, and what's actually going on under the hood. Hands-On AI launches Thursday, October 1. Subscribe at https://twit.tv/shows/hands-on-ai Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Román Orús is one of the rare physicists who built a foundational mathematical tool — tensor networks — and then watched it become the engine of a unicorn. His 2013 introduction to tensor networks has been cited over 2,000 times; his company, Multiverse Computing, just announced a $570 million Series C at a $1.7 billion pre-money valuation. That arc — from condensed matter theory to Europe's largest quantum software company — is worth understanding on its own terms. But what makes this conversation particularly timely is a May 2026 paper Orús co-authored demonstrating that individual layers of Meta's Llama 3.1 8B language model can be encoded as quantum circuits and executed on IBM's 156-qubit Quantum System Two while the model generates text. It's a proof of concept, not a product — but it's a real result, and Orús is honest about what it does and doesn't prove.This episode is for listeners who want a technically grounded, hype-free account of the quantum-AI intersection: what tensor networks actually are, why they keep getting rediscovered across different fields, where classical simulation of quantum systems genuinely competes with quantum hardware, and what it looks like to build a company at the boundary between those two worlds.Sponsor MessageThe Capital of Quantum is a people story. Built on a top-five quantum PhD program and 35-plus years of quantum research leadership. It's the billion-dollar initiative behind Discovery Center, launching this month with Microsoft, IQM, and Quantum Motion inside. That's why IonQ was born and is headquartered here, and why global companies keep choosing a spot minutes from Washington, D.C. This is where quantum is transforming the world. Come see it at the Quantum World Congress, September 23rd through 25th, College Park, Maryland. CapitalOfQuantum.com.What We Get IntoWhat tensor networks actually are — Orús explains the core idea without equations: tensors as the "DNA" of a quantum state, and how a network of them lets you see and quantify the internal correlations (entanglement) that matter versus the ones you can safely ignore.Why the same math keeps appearing in different fields — from condensed matter simulation to quantum computing simulation to machine learning, and why Orús sees that recurrence as a sign of something deep rather than a coincidence.How ChatGPT changed Multiverse's trajectory — the company was already applying tensor networks to machine learning before 2022; the emergence of large language models gave them a problem where the fit was obvious and the market was enormous.What "90–95% compression with minimal accuracy loss" actually means — Orús explains the overparameterization problem in current AI models and why he believes tensor networks address a genuine structural inefficiency, not just a tuning opportunity.The IBM kicked Ising model episode — Orús describes how his team rapidly produced a classical tensor network simulation of an experiment IBM had presented as evidence of quantum utility, and what that kind of competition between classical and quantum methods actually does for the field.The Cayley Unitary Adapter experiment — how Multiverse sliced individual layers out of Llama 3.1 8B, encoded them as quantum circuits, ran them on a 156-qubit IBM processor, and achieved a 1.4% perplexity improvement — and why Orús argues the improvement-per-parameter ratio is the number that matters, not the headline percentage.Why edge deployment is the real commercial driver — drones, satellites, vehicles, and industrial devices that cannot rely on cloud connectivity are the market pulling Multiverse toward smaller, more efficient models, not just benchmark competition with frontier labs.How Orús thinks about Multiverse's identity — he calls it a "quantum AI company," not a quantum company or an AI company, and explains what that distinction means for how they allocate research effort and where they expect to be when fault-tolerant quantum hardware matures.What he'd tell a PhD student today — a genuinely honest answer about the trade-offs between academic research and deep-tech industry, from someone who has lived both simultaneously.Resources & LinksGuest & CompanyRomán Orús — Personal Site — Lists talks, reviews, affiliations, and awards including the 2024 Physics, Innovation and Technology Prize from the Royal Spanish Society of Physics.Multiverse Computing — Official Website — Home page for CompactifAI, Singularity, and Multiverse's full product portfolio.Papers & Articles Discussed in This EpisodearXiv 2605.05914 — "Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters" (May 2026) — The paper at the center of the episode: Llama 3.1 8B layers running on IBM's 156-qubit Quantum System Two. Start here if you want the technical details behind the quantum-in-an-LLM result.Multiverse Computing — "Talking to a Quantum Computer" (May 2026) — The accessible blog-post version of the Cayley Unitary Adapter experiment; a good entry point before tackling the arXiv paper.arXiv 2401.14109 — CompactifAI: Extreme Compression of Large Language Models Using Quantum-Inspired Tensor Networks — The foundational peer-reviewed paper introducing Multiverse's tensor network compression method.arXiv 2509.06653 — "Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers" (Sep 2025, rev. Apr 2026) — Orús, Singh, and Aizpurua on hybrid classical-quantum execution for bottleneck neural network layers; the research underpinning the longer-term hybrid architecture vision.Models & ProductsHyperNova 60B on Hugging Face — Open-source 50%-compressed model derived from GPT-OSS-120B; context for Multiverse's open model strategy.Pulsar 16B Launch with NVIDIA (June 2026) — Announcement of Multiverse's open reasoning model, scoring 87.22 on AIME 2025 at 16B parameters.Funding & Company ContextSeries C Announcement — GlobeNewswire (July 2026) — $570M / €500M round at $1.7B pre-money valuation; covers investor lineup and deployment verticals.Key Quotes & Insights> "We are using atomic bombs to kill a mosquito." Orús on the overparameterization of current large language models — and why he believes the transformer-attention paradigm, however successful, ...
As kids head back to school this month, we're re-releasing a conversation with cognitive scientist Michael Frank on the future of language learning. Michael studies the similarities and differences in how children and AI systems learn language. He's working to understand what accounts for the “data gap” between how efficiently children learn language from relatively little input, compared to how much data AI systems need. His goal is to build better scientific models of human language acquisition and to inform how AI systems might learn in more human-like ways. Whether you're parenting an infant or toddler who is learning to talk or you're simply curious about how language learning unfolds for people across languages and cultures, this one's a great listen. Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu. Episode Reference Links: Stanford Profile: Michael Frank Connect With Us: Episode Transcripts >>> The Future of Everything Website Connect with Russ >>> Threads / Bluesky / Mastodon Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook Chapters: (00:00:00) Introduction Russ Altman introduces this episode with Michael Frank, a professor of biology, psychology and linguistics at Stanford University. (00:02:05) AI and Child Language Learning How AI language learning and child language learning differ. (00:05:23) WordBank and Big Data How large language databases are helping researchers study child language development across cultures. (00:08:04) Learning Across Languages How children learn many different languages through broadly similar developmental processes. (00:08:57) Babbling and Early Speech How babies begin exploring the sounds and signs of their language. (00:10:04) Multimodal Learning How SAYCam & BabyView capture multimodal language learning (00:13:12) Language as a Social Tool How social cues help children break the code of language. (00:15:12) Learning from Others How children track uncertainty and seek help from social partners. (00:18:05) ManyBabies How a global research consortium studies child development across cultures and communities. (00:20:11) Global Development Research Why large-scale international collaboration is valuable but difficult to fund. (00:21:36) Pragmatics How children learn to infer meaning beyond the literal words people say. (00:23:21) AI, Intent, and Common Sense Why pragmatics matters for building AI systems that understand human intent. (00:24:21) Reading to Children Why books can support language learning through shared attention and rich social interaction. (00:26:38) Early Language Exposure Why it is never too early to interact with babies through language. (00:27:53) Multilingual Children How children can learn multiple languages with few negative consequences. (00:30:35) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
AI-generated code is flooding the industry, but researchers reveal that almost half of it contains critical vulnerabilities. This week, we unpack what happens when the race for automation outpaces security best practices. A possible means for preventing prompt injection abuse. Clear evidence of Chinese-made router malicious intent. A cool before and after SpinRite graph of SSD performance. How about adding unpredictable hashes to role tags? What did Claude make of last week's podcast? Could much better harnesses prevent prompt injection? A listener wants us to stop saying AI "thinks". AI designers ignore well-understood security concepts. Can we explain LLM AI using conventional computer terms? A listener strongly dislikes the term "rotating credentials". The land of AI is being filled with "meat proxies". Researchers exhaustively test frontier model vulnerability remediation. (hint: It does not go well.) Show Notes - https://www.grc.com/sn/SN-1094-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: bitwarden.com/twit outsystems.com/twit threatlocker.com/twit doppel.com
AI-generated code is flooding the industry, but researchers reveal that almost half of it contains critical vulnerabilities. This week, we unpack what happens when the race for automation outpaces security best practices. A possible means for preventing prompt injection abuse. Clear evidence of Chinese-made router malicious intent. A cool before and after SpinRite graph of SSD performance. How about adding unpredictable hashes to role tags? What did Claude make of last week's podcast? Could much better harnesses prevent prompt injection? A listener wants us to stop saying AI "thinks". AI designers ignore well-understood security concepts. Can we explain LLM AI using conventional computer terms? A listener strongly dislikes the term "rotating credentials". The land of AI is being filled with "meat proxies". Researchers exhaustively test frontier model vulnerability remediation. (hint: It does not go well.) Show Notes - https://www.grc.com/sn/SN-1094-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: bitwarden.com/twit outsystems.com/twit threatlocker.com/twit doppel.com
AI-generated code is flooding the industry, but researchers reveal that almost half of it contains critical vulnerabilities. This week, we unpack what happens when the race for automation outpaces security best practices. A possible means for preventing prompt injection abuse. Clear evidence of Chinese-made router malicious intent. A cool before and after SpinRite graph of SSD performance. How about adding unpredictable hashes to role tags? What did Claude make of last week's podcast? Could much better harnesses prevent prompt injection? A listener wants us to stop saying AI "thinks". AI designers ignore well-understood security concepts. Can we explain LLM AI using conventional computer terms? A listener strongly dislikes the term "rotating credentials". The land of AI is being filled with "meat proxies". Researchers exhaustively test frontier model vulnerability remediation. (hint: It does not go well.) Show Notes - https://www.grc.com/sn/SN-1094-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: bitwarden.com/twit outsystems.com/twit threatlocker.com/twit doppel.com
AI-generated code is flooding the industry, but researchers reveal that almost half of it contains critical vulnerabilities. This week, we unpack what happens when the race for automation outpaces security best practices. A possible means for preventing prompt injection abuse. Clear evidence of Chinese-made router malicious intent. A cool before and after SpinRite graph of SSD performance. How about adding unpredictable hashes to role tags? What did Claude make of last week's podcast? Could much better harnesses prevent prompt injection? A listener wants us to stop saying AI "thinks". AI designers ignore well-understood security concepts. Can we explain LLM AI using conventional computer terms? A listener strongly dislikes the term "rotating credentials". The land of AI is being filled with "meat proxies". Researchers exhaustively test frontier model vulnerability remediation. (hint: It does not go well.) Show Notes - https://www.grc.com/sn/SN-1094-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: bitwarden.com/twit outsystems.com/twit threatlocker.com/twit doppel.com
AI-generated code is flooding the industry, but researchers reveal that almost half of it contains critical vulnerabilities. This week, we unpack what happens when the race for automation outpaces security best practices. A possible means for preventing prompt injection abuse. Clear evidence of Chinese-made router malicious intent. A cool before and after SpinRite graph of SSD performance. How about adding unpredictable hashes to role tags? What did Claude make of last week's podcast? Could much better harnesses prevent prompt injection? A listener wants us to stop saying AI "thinks". AI designers ignore well-understood security concepts. Can we explain LLM AI using conventional computer terms? A listener strongly dislikes the term "rotating credentials". The land of AI is being filled with "meat proxies". Researchers exhaustively test frontier model vulnerability remediation. (hint: It does not go well.) Show Notes - https://www.grc.com/sn/SN-1094-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: bitwarden.com/twit outsystems.com/twit threatlocker.com/twit doppel.com
AI-generated code is flooding the industry, but researchers reveal that almost half of it contains critical vulnerabilities. This week, we unpack what happens when the race for automation outpaces security best practices. A possible means for preventing prompt injection abuse. Clear evidence of Chinese-made router malicious intent. A cool before and after SpinRite graph of SSD performance. How about adding unpredictable hashes to role tags? What did Claude make of last week's podcast? Could much better harnesses prevent prompt injection? A listener wants us to stop saying AI "thinks". AI designers ignore well-understood security concepts. Can we explain LLM AI using conventional computer terms? A listener strongly dislikes the term "rotating credentials". The land of AI is being filled with "meat proxies". Researchers exhaustively test frontier model vulnerability remediation. (hint: It does not go well.) Show Notes - https://www.grc.com/sn/SN-1094-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: bitwarden.com/twit outsystems.com/twit threatlocker.com/twit doppel.com
AI-generated code is flooding the industry, but researchers reveal that almost half of it contains critical vulnerabilities. This week, we unpack what happens when the race for automation outpaces security best practices. A possible means for preventing prompt injection abuse. Clear evidence of Chinese-made router malicious intent. A cool before and after SpinRite graph of SSD performance. How about adding unpredictable hashes to role tags? What did Claude make of last week's podcast? Could much better harnesses prevent prompt injection? A listener wants us to stop saying AI "thinks". AI designers ignore well-understood security concepts. Can we explain LLM AI using conventional computer terms? A listener strongly dislikes the term "rotating credentials". The land of AI is being filled with "meat proxies". Researchers exhaustively test frontier model vulnerability remediation. (hint: It does not go well.) Show Notes - https://www.grc.com/sn/SN-1094-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: bitwarden.com/twit outsystems.com/twit threatlocker.com/twit doppel.com
AI-generated code is flooding the industry, but researchers reveal that almost half of it contains critical vulnerabilities. This week, we unpack what happens when the race for automation outpaces security best practices. A possible means for preventing prompt injection abuse. Clear evidence of Chinese-made router malicious intent. A cool before and after SpinRite graph of SSD performance. How about adding unpredictable hashes to role tags? What did Claude make of last week's podcast? Could much better harnesses prevent prompt injection? A listener wants us to stop saying AI "thinks". AI designers ignore well-understood security concepts. Can we explain LLM AI using conventional computer terms? A listener strongly dislikes the term "rotating credentials". The land of AI is being filled with "meat proxies". Researchers exhaustively test frontier model vulnerability remediation. (hint: It does not go well.) Show Notes - https://www.grc.com/sn/SN-1094-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: bitwarden.com/twit outsystems.com/twit threatlocker.com/twit doppel.com
AI-generated code is flooding the industry, but researchers reveal that almost half of it contains critical vulnerabilities. This week, we unpack what happens when the race for automation outpaces security best practices. A possible means for preventing prompt injection abuse. Clear evidence of Chinese-made router malicious intent. A cool before and after SpinRite graph of SSD performance. How about adding unpredictable hashes to role tags? What did Claude make of last week's podcast? Could much better harnesses prevent prompt injection? A listener wants us to stop saying AI "thinks". AI designers ignore well-understood security concepts. Can we explain LLM AI using conventional computer terms? A listener strongly dislikes the term "rotating credentials". The land of AI is being filled with "meat proxies". Researchers exhaustively test frontier model vulnerability remediation. (hint: It does not go well.) Show Notes - https://www.grc.com/sn/SN-1094-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: bitwarden.com/twit outsystems.com/twit threatlocker.com/twit doppel.com
How does AI change the intranet? Richard chats with Susan Hanley about her work helping organizations build great intranets and how tools like M365 Copilot are changing the intranet. Susan talks about the new reality of an intranet, where some users no longer go to the intranet directly but use an agent to retrieve the information they need. This impacts search statistics, but also means it's important to write pages that an agent can easily understand. The conversation also dives into the bane of all intranets - archiving data. LLMs can help with organizing data, but getting stale data out of view is essential. There are also retention policies and governance, and there's a role for these tools there too - the intranet is evolving! Links SharePoint Skills Recorded Aug 17, 2026
Sarah Lane, Chief Marketing Officer at CarMax, joins Matt Britton on the Speed of Culture podcast to detail how the brand transformed the automotive retail experience through transparency and a commitment to women's sports. Sarah explains the journey from local team sponsorships to high-profile national partnerships with the WNBA and NBA, highlighting how authentic fan engagement builds lasting trust. The conversation also covers the impact of emerging technologies like Large Language Models on the car-buying process.Follow Suzy on Twitter: @AskSuzyBizFollow Sarah Lane on LinkedInSubscribe to The Speed of Culture on your favorite podcast platform.And if you have a question or suggestions for the show, send us an email at suzy@suzy.com Hosted on Acast. See acast.com/privacy for more information.
Turns out, every chatbot conversation runs on a messy hack at the heart of language models, making prompt injection an unsolved—and possibly unsolvable—security threat. Steve and Leo unravel the research that explains why "roles" in AI aren't what you think they are. Understanding the controversy surrounding "AI Model Distillation" Anthropic moves to make their most powerful Mythos 5 model more widely available. Bitwarden's "Secrets Manager" offering prevents agentic and prompt injection abuse. The astounding and disturbing truth about the way conversation AI actually works Show Notes - https://www.grc.com/sn/SN-1093-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: threatlocker.com/twit box.com/AI hoxhunt.com/securitynow guardsquare.com material.security
Turns out, every chatbot conversation runs on a messy hack at the heart of language models, making prompt injection an unsolved—and possibly unsolvable—security threat. Steve and Leo unravel the research that explains why "roles" in AI aren't what you think they are. Understanding the controversy surrounding "AI Model Distillation" Anthropic moves to make their most powerful Mythos 5 model more widely available. Bitwarden's "Secrets Manager" offering prevents agentic and prompt injection abuse. The astounding and disturbing truth about the way conversation AI actually works Show Notes - https://www.grc.com/sn/SN-1093-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: threatlocker.com/twit box.com/AI hoxhunt.com/securitynow guardsquare.com material.security
Turns out, every chatbot conversation runs on a messy hack at the heart of language models, making prompt injection an unsolved—and possibly unsolvable—security threat. Steve and Leo unravel the research that explains why "roles" in AI aren't what you think they are. Understanding the controversy surrounding "AI Model Distillation" Anthropic moves to make their most powerful Mythos 5 model more widely available. Bitwarden's "Secrets Manager" offering prevents agentic and prompt injection abuse. The astounding and disturbing truth about the way conversation AI actually works Show Notes - https://www.grc.com/sn/SN-1093-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. 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 Sponsors: threatlocker.com/twit box.com/AI hoxhunt.com/securitynow guardsquare.com material.security
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