Podcasts about ai research

Lance: https://www.linkedin.com/in/lance-martin-64a33b5/ How Context Fails: https://www.dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html How New Buzzwords Get Created: https://www.dbreunig.com/2025/07/24/why-the-term-context-engineering-matters.html Content Engineering: https://x.com/RLanceMartin/status/1948441848978309358 https://rlancemartin.github.io/2025/06/23/context_engineering/ https://docs.google.com/presentation/d/16aaXLu40GugY-kOpqDU4e-S0hD1FmHcNyF0rRRnb1OU/edit?usp=sharing Manus Post: https://manus.im/blog/Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus Cognition Post: https://cognition.ai/blog/dont-build-multi-agents Multi-Agent Researcher: https://www.anthropic.com/engineering/multi-agent-research-system Human-in-the-loop + Memory: https://github.com/langchain-ai/agents-from-scratch - Bitter Lesson in AI Engineering - Hyung Won Chung on the Bitter Lesson in AI Research: https://www.youtube.com/watch?v=orDKvo8h71o Bitter Lesson w/ Claude Code: https://www.youtube.com/watch?v=Lue8K2jqfKk&t=1s Learning the Bitter Lesson in AI Engineering: https://rlancemartin.github.io/2025/07/30/bitter_lesson/ Open Deep Research: https://github.com/langchain-ai/open_deep_research https://academy.langchain.com/courses/deep-research-with-langgraph Scaling and building things that "don't yet work": https://www.youtube.com/watch?v=p8Jx4qvDoSo - Frameworks - Roast framework at Shopify / standardization of orchestration tools: https://www.youtube.com/watch?v=0NHCyq8bBcM MCP adoption within Anthropic / standardization of protocols: https://www.youtube.com/watch?v=xlEQ6Y3WNNI How to think about frameworks: https://blog.langchain.com/how-to-think-about-agent-frameworks/ RAG benchmarking: https://rlancemartin.github.io/2025/04/03/vibe-code/ Simon's talk with memory-gone-wrong: https://simonwillison.net/2025/Jun/6/six-months-in-llms/

Fill out this short listener survey to help us improve the show: https://forms.gle/bbcRiPTRwKoG2tJx8 Tri Dao, Chief Scientist at Together AI and Princeton professor who created Flash Attention and Mamba, discusses how inference optimization has driven costs down 100x since ChatGPT's launch through memory optimization, sparsity advances, and hardware-software co-design. He predicts the AI hardware landscape will shift from Nvidia's current 90% dominance to a more diversified ecosystem within 2-3 years, as specialized chips emerge for distinct workload categories: low-latency agentic systems, high-throughput batch processing, and interactive chatbots. Dao shares his surprise at AI models becoming genuinely useful for expert-level work, making him 1.5x more productive at GPU kernel optimization through tools like Claude Code and O1. The conversation explores whether current transformer architectures can reach expert-level AI performance or if approaches like mixture of experts and state space models are necessary to achieve AGI at reasonable costs. Looking ahead, Dao sees another 10x cost reduction coming from continued hardware specialization, improved kernels, and architectural advances like ultra-sparse models, while emphasizing that the biggest challenge remains generating expert-level training data for domains lacking extensive internet coverage. (0:00) Intro(1:58) Nvidia's Dominance and Competitors(4:01) Challenges in Chip Design(6:26) Innovations in AI Hardware(9:21) The Role of AI in Chip Optimization(11:38) Future of AI and Hardware Abstractions(16:46) Inference Optimization Techniques(33:10) Specialization in AI Inference(35:18) Deep Work Preferences and Low Latency Workloads(38:19) Fleet Level Optimization and Batch Inference(39:34) Evolving AI Workloads and Open Source Tooling(41:15) Future of AI: Agentic Workloads and Real-Time Video Generation(44:35) Architectural Innovations and AI Expert Level(50:10) Robotics and Multi-Resolution Processing(52:26) Balancing Academia and Industry in AI Research(57:37) Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

 In this transformative conversation, Palveshey Tariq—founder of Alternative Coaching Methods—shares her journey from quantum physics and AI research to guiding others through plant medicine ceremonies. After collecting all the accolades in STEM but feeling empty inside, a suic*de attempt led to a two-year journey of meditating 4-8 hours daily and completely rewiring her relationship with herself. What started as reaching for psilocybin mushrooms as an escape became five hours of taking ownership of her role in her own suffering. The conversation explores how we trade our authentic selves for conditional love starting in childhood, why observing our behavior (internally and externally) changes everything, and how fear drives most of our achievements until we learn to operate from integrity instead. Palveshey reveals her morning routine, why "discipline is the highest form of self-respect," and how asking "How do you know it's true?" can dismantle an entire belief system. Key Topics: From quantum physics to consciousness: the observer effect applied internally Why high achievement doesn't equal high performance (vitality and balance) Trading authenticity for love: "I am who I think you think I am" A psilocybin ceremony that wasn't an escape but a mirror The body screaming what the mind ignores: menstrual pain as communication Morning routine as self-respect: meditation, walking, yoga, reading, then clients   Notable Quotes: "Plant medicines shed light on all the dark areas and assign you homework, but you still have to go home and do the work." "There's a fine line between owning your shit and being full of it." "In order to become a graceful master, we need to look like a foolish beginner." "In order for a spiritual awakening to happen, there has to be a mental breakdown." "Creation and contribution are the antidotes for comparison and criticism". Palveshey's Powerful Question: "How do you know it's true?"—And the crucial follow-up: "What's truer?"   Key Lessons: Our subconscious starts believing love is conditional around age 2-3 The difference between religion and spirituality/devotion Integration is the most important part of plant medicine work Your body whispers before it screams—listen early Four motivators: fear, desire, duty, or love—know which drives you Turn "why me?" into "watch me" Right and wrong are illusions—feel what's right in the moment Resources Mentioned: Alternative Coaching Methods  The Diamond Cutter (and other books mentioned on this season - affiliate links) No Bullshit Spirituality newsletter - one hard truth, one simple turnaround LinkedIn for Palveshey's writings Gravitas - 1:1 accelertaors for biz owners stepping into their founder era The Curiosity Lab - Strategy sessions for leaders by Chedva You're Gonna Want to Sit Down for This - bi-weekly email packed with lessons and free tools Chedva's newsletter - Weekly musings and questions

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao 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: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao 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: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao 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: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao 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: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao 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: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao 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: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

University of Hawaiʻi climate scientist Matthew Widlansky develops a new AI tool to help researchers explore complex data; Kaimuki High School teacher Chu Hong shares what her students are cultivating in WORMS club

Today on the show we have a professor of medicine, a computer scientist and an English professor, all talking about Artificial Intelligence and research. They dive into the role AI can play, its potential, and they seperate help from hype. Guests: Michelle Ploughman, professor at the faculty of medicine at MUN; Xianta Jiang, MUN computer science professor at the department of computer science; Aaron Tucker, English professor and author.

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. In this episode of Eye on AI, we sit down with Leon Song, VP of Research at Together AI, to explore how open-source models and cutting-edge infrastructure are reshaping the AI landscape.    From speculative decoding to FlashAttention and RedPajama, Leon shares how Together AI is building one of the fastest, most cost-efficient AI clouds—helping enterprises fine-tune, deploy, and scale open-source models at the level of GPT-4 and beyond.   We dive into Leon's journey from leading DeepSpeed and AI for Science at Microsoft to driving system-level innovation at Together AI. Topics include: The future of open-source vs. closed-source AI models Breakthroughs in speculative decoding for faster inference How Together AI's cloud platform empowers enterprises with data sovereignty and model ownership Why open-source models like DeepSeek R1 and Llama 4 are now rivaling proprietary systems The role of GPUs vs. ASIC accelerators in scaling AI infrastructure   Whether you're an AI researcher, enterprise leader, or curious about where generative AI is heading, this conversation reveals the technology and strategy behind one of the most important players in the open-source AI movement. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

Good morning from Pharma and Biotech daily: the podcast that gives you only what's important to hear in Pharma e Biotech world. Eli Lilly plans to raise drug prices in Europe in response to Trump's Most Favored Nation policy. RFK Jr. has expressed support for mRNA cancer vaccines after cutting mRNA BARDA contracts. Precigen wins FDA approval for an immunotherapy for recurrent respiratory papillomatosis, while Kennedy revives a childhood vaccine safety group and suggests mRNA vaccines could be effective for cancer. Genscript announces a new era of innovation, Bausch Health closes a California site, and Eli Lilly partners with Superluminal for obesity treatments. Trump delays tariffs, and upcoming webinars focus on AI in research, integrated supply chain strategies, and data lakes. Job opportunities include positions at Utro Biopharma, BioMarin Pharmaceutical, and AbbVie.

ASUG recently collaborated with Intel and Microsoft to examine two of the hottest topics in the SAP ecosystem: cloud migration and AI adoption. As SAP continues spurring its customer base to embrace the cloud, citing next-generation AI solutions as a critical benefit to this shift, this research sheds light into how the cloud environments ASUG members are choosing, and what processes they are using AI solutions to improve. Blake Baltazar, ASUG Senior Project & Research Analyst, and Marissa Gilbert, ASUG Research Director, join ASUG Talks this week to break down this research and its key findings. Key InsightsWhat factors drive cloud adoption The cost ASUG members reported paying for their cloud services What AI solutions respondents are leveragingRelated Resources Read ASUG's SAP S/4HANA focused research and listen to a recent podcast with the ASUG research team on the key findings. Read how Carhartt leveraged SAP Commerce Cloud to modernize its global commerce infrastructure. Join ASUG on Aug. 20 for an Ask Me Anything Community Conversation on SAP Process Integration & Orchestration (PI/PO). 

In this episode of Campus Technology Insider Podcast Shorts, Rhea Kelly highlights the latest in higher education technology. Touro University launches a Faculty Innovation Grant Program to develop AI-enhanced curricula, aiming for a fully AI-enabled institution by 2025. The National Science Foundation announces a $100 million investment in AI research, focusing on mental health, materials discovery, and human-AI collaboration. Additionally, the Tech Tactics in Education conference will address innovation challenges in K-12 and higher education. Register now for the free virtual event on September 25th. 00:00 Introduction to Campus Technology Insider 00:15 Touro University's AI-Enhanced Curricula Initiative 00:47 National Science Foundation's $100 Million AI Investment 01:27 Tech Tactics in Education Conference 2025 01:55 Conclusion and Further Resources Source links: Touro University Launches Faculty Innovation Grant Program to Advance Integration of AI into Teaching and Learning NSF Invests $100 Million in National AI Research Institutes September 2025 Tech Tactics in Education Conference Agenda Announced   Campus Technology Insider Podcast Shorts are curated by humans and narrated by AI.

New AI research into the Documentary Hypothesis and the authorship of the books of Samuel reinforces our theories. Dr. Rutger Vos from the University of Leiden joins Gil to discuss. Read about this research here Join our tribe on Patreon! Check out these cool pages on the podcast's website:Home PageWho wrote the Bible: Timeline and authorsAncient maps: easy to follow maps to see which empire ruled what and whenClick here to see Exodus divided into "sources" according to the Documentary Hypothesis The podcast is written, edited and produced by Gil Kidron

In this episode, we're unpacking powerful ai capabilities from the perspective of Mistral's Deep Research. Discover how this work is shaping the future of deep learning and setting a new standard for innovation in AI. We'll break down the most important insights, explore real-world implications, and share why this matters now more than ever.Try AI Box: ⁠⁠https://aibox.ai/AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

June 24, 2025 - Assemblymember Alex Bores, a Manhattan Democrat, discusses his legislation putting guardrails on cutting-edge artificial intelligence research and explains how the measure was curtailed during the amendment process. He also talks about unfinished business from the legislative session, weighs in on the movie Mountainhead, and considers the status of Empire AI.

A daily Chronicle of AI Innovations in June 2025: June 24thRead Online | Sign Up | Advertise | AI Builder's ToolkitHello AI Unraveled Listeners,In today's AI Daily News,⚖️ OpenAI scrubs 'io' over trademark clash

Happy Friday, everyone! This week I'm back to my usual four updates, and while they may seem disconnected on the surface, you'll see some bigger threads running through them all.All seem to indicate we're outsourcing to AI faster than we can supervise, are layering automation on top of bias without addressing the root issues, and letting convenience override discernment in places that carry life-or-death stakes.With that, let's get into it.⸻Stanford's AI Therapy Study Shows We're Automating HarmNew research from Stanford tested how today's top LLMs are handling crisis counseling, and the results are disturbing. From stigmatizing mental illness to recommending dangerous actions in crisis scenarios, these AI therapists aren't just “not ready”… they are making things worse. I walk through what the study got right, where even its limitations point to deeper risk, and why human experience shouldn't be replaced by synthetic empathy.⸻Microsoft Says You'll Be Training AI Agents Soon, Like It or NotIn Microsoft's new 2025 Work Trend Index, 41% of leaders say they expect their teams to be training AI agents in the next five years. And 36% believe they'll be managing them. If you're hearing “agent boss” and thinking “not my problem,” think again. This isn't a future trend; it's already happening. I break down what AI agents really are, how they'll change daily work, and why organizations can't just bolt them on without first measuring human readiness.⸻Workday's Bias Lawsuit Could Reshape AI HiringWorkday is being sued over claims that its hiring algorithms discriminated against candidates based on race, age, and disability status. But here's the real issue: most companies can't even explain how their AI hiring tools make decisions. I unpack why this lawsuit could set a critical precedent, how leaders should respond now, and why blindly trusting your recruiting tech could expose you to more than just bad hires. Unchecked, it could lead to lawsuits you never saw coming.⸻Military AI Is Here, and We're Not Ready for the Moral TradeoffsFrom autonomous fighter jet simulations to OpenAI defense contracts, military AI is no longer theoretical; it's operational. The U.S. Army is staffing up with Silicon Valley execs. AI drones are already shaping modern warfare. But what happens when decisions of life and death get reduced to “green bars” on output reports? I reflect on why we need more than technical and military experts in the room and what history teaches us about what's lost when we separate force from humanity.⸻If this episode was helpful, would you share it with someone? Also, leave a rating, drop a comment, and follow for future breakdowns that go beyond the headlines and help you lead with clarity in the AI age.—Show Notes:In this Weekly Update, Christopher Lind unpacks four critical developments in AI this week. First, he starts by breaking down Stanford's research on AI therapists and the alarming shortcomings in how large language models handle mental health crises. Then, he explores Microsoft's new workplace forecast, which predicts a sharp rise in agent-based AI tools and the hidden demands this shift will place on employees. Next, he analyzes the legal storm brewing around Workday's recruiting AI and what this could mean for hiring practices industry-wide. Finally, he closes with a timely look at the growing militarization of AI and why ethical oversight is being outpaced by technological ambition.Timestamps:00:00 – Introduction01:05 – Episode Overview02:15 – Stanford's Study on AI Therapists18:23 – Microsoft's Agent Boss Predictions30:55 – Workday's AI Bias Lawsuit43:38 – Military AI and Moral Consequences52:59 – Final Thoughts and Wrap-Up#StanfordAI #AItherapy #AgentBosses #MicrosoftWorkTrend #WorkdayLawsuit #AIbias #MilitaryAI #AIethics #FutureOfWork #AIstrategy #DigitalLeadership

(0:00) Intro (1:49) About the podcast sponsor: The American College of Governance Counsel(2:36) Introduction by Professor Anat Admati, Stanford Graduate School of Business. Read the event coverage from Stanford's CASI.(4:14) Start of Interview(4:45) What inspired Karen to write this book and how she got started with journalism.(8:00) OpenAI's Nonprofit Origin Story(8:45) Sam Altman and Elon Musk's Collaboration(10:39) The Shift to For-Profit(12:12) On the original split between Musk and Altman over control of OpenAI(14:36) The Concept of AI Empires(18:04) About concept of "benefit to humanity" and OpenAI's mission "to ensure that AGI benefits all of humanity"(20:30) On Sam Altman's Ouster and OpenAI's Boardroom Drama (Nov 2023) "Doomers vs Boomers"(26:05) Investor Dynamics Post-Ouster of Sam Altman(28:21) Prominent Departures from OpenAI (ie Elon Musk, Dario Amodei, Ilya Sutskever, Mira Murati, etc)(30:55) The Geopolitics of AI: U.S. vs. China(32:37) The "What about China" Card used by US companies to ward off regulation.(34:26) "Scaling at All Costs is not leading us in a good place"(36:46) Karen's preference on ethical AI development "I really want there to be more participatory AI development. And I think about the full supply chain of AI development when I say that."(39:53) Her biggest hope and fear for the future "the greatest threat of these AI empires is the erosion of democracy."(43:34) The case of Chilean Community Activism and Empowerment(47:20) Recreating human intelligence and the example of Joseph Weizenbaum, MIT (Computer Power and Human Reason, 1976)(51:15) OpenAI's current AI research capabilities: "I think it's asymptotic because they have started tapping out of their scaling paradigm"(53:26) The state (and importance of) open source development of AI. "We need things to be more open"(55:08) The Bill Gates demo on chatGPT acing the AP Biology test.(58:54) Funding academic AI research and the public policy question on the role of Government.(1:01:11) Recommendations for Startups and UniversitiesKaren Hao is the author of Empire of AI (Penguin Press, May 2025) and an award-winning journalist covering the intersections of AI & society. You can follow Evan on social media at:X: @evanepsteinLinkedIn: https://www.linkedin.com/in/epsteinevan/ Substack: https://evanepstein.substack.com/__To support this podcast you can join as a subscriber of the Boardroom Governance Newsletter at https://evanepstein.substack.com/__Music/Soundtrack (found via Free Music Archive): Seeing The Future by Dexter Britain is licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License

Audio note: this article contains 127 uses of latex notation, so the narration may be difficult to follow. There's a link to the original text in the episode description. Confidence: Medium, underlying data is patchy and relies on a good amount of guesswork, data work involved a fair amount of vibecoding. Intro:  Tom Davidson has an excellent post explaining the compute bottleneck objection to the software-only intelligence explosion.[1] The rough idea is that AI research requires two inputs: cognitive labor and research compute. If these two inputs are gross complements, then even if there is recursive self-improvement in the amount of cognitive labor directed towards AI research, this process will fizzle as you get bottlenecked by the amount of research compute. The compute bottleneck objection to the software-only intelligence explosion crucially relies on compute and cognitive labor being gross complements; however, this fact is not [...] ---Outline:(00:35) Intro:(02:16) Model(02:19) Baseline CES in Compute(04:07) Conditions for a Software-Only Intelligence Explosion(07:39) Deriving the Estimation Equation(09:31) Alternative CES Formulation in Frontier Experiments(10:59) Estimation(11:02) Data(15:02) Trends(15:58) Estimation Results(18:52) ResultsThe original text contained 13 footnotes which were omitted from this narration. --- First published: June 1st, 2025 Source: https://forum.effectivealtruism.org/posts/xoX936hEvpxToeuLw/estimating-the-substitutability-between-compute-and --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

In this episode of Catching Up, Nate McClennen and Mason Pashia explore the evolving landscape of education with a focus on AI leadership, applied humanities, and innovative learning spaces. They dive into key topics such as the role of AI in transforming educational practices, the shift towards applied humanities in higher education, and the potential of community spaces in schools to enhance learning experiences. With insights from recent developments and thoughtful discussions, this episode offers valuable perspectives for educators, administrators, and policymakers looking to navigate the future of education. Tune in to discover how these emerging trends are shaping new pathways for learners and educators alike. Outline (00:00) Introduction and Episode Overview (02:40) Educational Innovations and Legislation (04:41) Future of Learning: Digital Wallets and AI (10:16) Applied Humanities in Higher Education (18:20) AI in Schools: Leadership, Crowd, and Lab (28:45) Reimagining Community Spaces in Schools (33:31) AI in Job Screening and Hiring (42:25)  What's That Song? Links Watch the full video Read the full blog here Mason's LER Blog Ministry of Imagination Accreditation MSA Teach For America Should Embrace Apprenticeship Model Amid AmeriCorps Cuts LER digital wallet Michigan experiment  Educational Choice for Children Act H.R 3250 Applied Humanities AI leadership - Ethan Mollick - One Useful Thing Early Childhood and developers

In this episode of Hashtag Trending, host Jim Love discusses NVIDIA CEO Jensen Huang's criticism of US export controls on AI chips that have led to significant financial losses for his company while bolstering Chinese AI competitors like Huawei. NVIDIA faces an $8 billion revenue loss due to restricted H20 chip exports to China. Huang argues that these policies are accelerating Chinese innovation and undermining US global leadership in AI technology. The episode also highlights Getty Images CEO Craig Peters' struggle with the high costs of litigating AI copyright infringement cases. Peters reveals that even a major company like Getty cannot afford to fight every instance of AI firms using copyrighted content without permission, creating a severe economic imbalance. The script ends with an exploration of the high rate of 'hallucinations' by AI in legal research and the resulting professional risks for lawyers, emphasizing the need for more stringent fact-checking. 00:00 Introduction and Headlines 00:26 NVIDIA's Struggles with US Export Controls 03:52 Getty Images' Battle Against AI Copyright Infringement 07:13 Legal Challenges with AI-Generated Fake Case Law 10:53 The Importance of Fact-Checking in AI Research 12:29 Conclusion and Viewer Engagement

Join Pathmonk Presents as we explore Deep Media with Ryan Ofman, Head of AI Research. Deep Media pioneers AI-driven deepfake detection, protecting government, social media, and financial sectors from misinformation. Ryan shares how they engage clients through conferences and viral deepfake detection reports, leveraging their website for education and acquisition. Learn about urgent “earthquake” conversions versus proactive “aftershock” inquiries, the importance of accessible AI explanations, and their work with academics for equitable AI. Discover tips for creating converting websites with engaging demos and compelling content. Tune in for insights on combating digital threats!  

Zihan Wang is an AI researcher at Northwestern University, where he works on vision-language models, robotics, and reinforcement learning. Previously, he interned at DeepSeek, contributing to projects like DeepSeek-V2.Zihan's homepage:  https://zihanwang314.github.io/(00:00) - Introduction (01:13) - Zihan's Background, CS and AI Research in China (11:09) - DeepSeek; Human capital flow from PRC to US (16:07) - DeepSeek, Open Source and AI Research (31:52) - Model Size and Performance Constraints (33:01) - Data Bottleneck in Pre-trained Models (34:12) - Transformer Architecture and Scaling Laws (36:30) - Efficiency in Model Training (47:44) - Chain of Experts Architecture (01:01:06) - Future of AI and Robotics Music used with permission from Blade Runner Blues Livestream improvisation by State Azure.–Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (SuperFocus.ai, SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU. Please send any questions or suggestions to manifold1podcast@gmail.com or Steve on X @hsu_steve.

Yaron Singer, Vice President of AI and Security at Cisco, co-founded a company specializing in artificial intelligence solutions, which was acquired by Cisco in 2024. They developed a firewall for artificial intelligence, a tool designed to protect AI from making critical mistakes. No matter how sophisticated AI is, errors can still happen, and these errors can have far-reaching consequences. The product is designed to detect and fix such mistakes. This technology was developed long before ChatGPT and its competitors burst onto the scene, making it the hottest industry in tech investment. Join Singer as he sits down with UC San Diego professor Mikhail Belkin to discuss his work and the continued effort to make artificial intelligence secure. Series: "Data Science Channel" [Science] [Show ID: 40265]

Yaron Singer, Vice President of AI and Security at Cisco, co-founded a company specializing in artificial intelligence solutions, which was acquired by Cisco in 2024. They developed a firewall for artificial intelligence, a tool designed to protect AI from making critical mistakes. No matter how sophisticated AI is, errors can still happen, and these errors can have far-reaching consequences. The product is designed to detect and fix such mistakes. This technology was developed long before ChatGPT and its competitors burst onto the scene, making it the hottest industry in tech investment. Join Singer as he sits down with UC San Diego professor Mikhail Belkin to discuss his work and the continued effort to make artificial intelligence secure. Series: "Data Science Channel" [Science] [Show ID: 40265]

Yaron Singer, Vice President of AI and Security at Cisco, co-founded a company specializing in artificial intelligence solutions, which was acquired by Cisco in 2024. They developed a firewall for artificial intelligence, a tool designed to protect AI from making critical mistakes. No matter how sophisticated AI is, errors can still happen, and these errors can have far-reaching consequences. The product is designed to detect and fix such mistakes. This technology was developed long before ChatGPT and its competitors burst onto the scene, making it the hottest industry in tech investment. Join Singer as he sits down with UC San Diego professor Mikhail Belkin to discuss his work and the continued effort to make artificial intelligence secure. Series: "Data Science Channel" [Science] [Show ID: 40265]

Yaron Singer, Vice President of AI and Security at Cisco, co-founded a company specializing in artificial intelligence solutions, which was acquired by Cisco in 2024. They developed a firewall for artificial intelligence, a tool designed to protect AI from making critical mistakes. No matter how sophisticated AI is, errors can still happen, and these errors can have far-reaching consequences. The product is designed to detect and fix such mistakes. This technology was developed long before ChatGPT and its competitors burst onto the scene, making it the hottest industry in tech investment. Join Singer as he sits down with UC San Diego professor Mikhail Belkin to discuss his work and the continued effort to make artificial intelligence secure. Series: "Data Science Channel" [Science] [Show ID: 40265]

In this episode of The Persistent Entrepreneur, David Hill sits down with Amarpreet Kalkat, founder and CEO of Humantic AI, to explore how artificial intelligence is revolutionizing the sales process—before the first call even happens. Amarpreet shares how his platform uses AI to generate powerful personality insights and buyer intelligence that help sales professionals personalize outreach, build trust faster, and dramatically improve conversion rates. If you want to learn how to leverage AI to connect smarter and sell more effectively, this is a conversation you don't want to miss. Full Name: Amarpreet Kalkat  Email: kalkat@humantic.ai  Phone Number: +915103299004 Social Media Links: https://www.linkedin.com/in/amarpreetkalkat/ http://x.com/amarpreetkalkat    https://kalkat.substack.com/        Connect with David LINKS: www.davidhill.ai    SOCIALS:  Facebook: https://www.facebook.com/davidihill/  LinkedIn: https://www.linkedin.com/in/davidihill YouTube: https://www.youtube.com/c/DavidHillcoach  TikTok: www.tiktok.com/@davidihill Instagram: https://www.instagram.com/davidihill  X: https://twitter.com/davidihill    RING LEADER AI DEMO CALL- 774-214-2076    PODCAST SUBSCRIBE & REVIEW  https://podcasts.apple.com/us/podcast/the-persistent-entrepreneur/id1081069895  

Top Story: Visa trying to the AI shopping experience credit card AI continues to grow, but hallucinations are getting worse Zuckerberg thinks most of your friends will be AI chat bots Researchers violated ethical standards while investigating AI usage online

This and all episodes at: https://aiandyou.net/ . How to manage the integration of AI at scale into the enterprise is the territory of today's guest, Diane Gutiw, Vice President and leader of the AI research center at the global business consultancy CGI. She holds a PhD in Medical Information Technology Management and has led collaborative strategy design and implementation planning for advanced analytics and AI for large organizations in the energy and utilities, railway, and government healthcare sectors.  In part 2, we talk about synthetic data, digital triplets, agentic AI and continuous autonomous improvement, and best practices for compliance.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.        

AI isn't just about flashy tools—it's about transforming how AEC firms research, analyze, and make decisions. In this episode of KP Unpacked - the number one Podcast in AEC, Jeff Echols and Frank Lazzaro dive deep into the power of AI research tools and how you can use them to work smarter, not harder.Key takeaways from this episode:Why AI research tools are changing the game for AEC firmsFrank's personal formula for finding 12 minutes of efficiency daily using AIReal-world examples of how AI tools outperform traditional research methodsThe top AI tools you should be using: ChatGPT Deep Research, Storm, and PerplexityHow to avoid AI's common pitfalls in data analysis and research workflowsActionable tips to start using AI research tools in your business todayWe want to tell you about something we've been quietly working on—and now it's live. It's called Catalyst. It's a space built for AEC professionals like you who are designing, building, and reimagining the future. Catalyst is where the sharpest minds in our industry connect, share, and lead what's next. If this sparked something, Catalyst is where we keep the conversation going.This uniquely active space is where the top minds in our industry come together and shape what's next in AEC. Ignite innovation. Join the waitlist at kpreddy.co. Hope to see you there!

Learn how to leverage advanced AI strategies that most business owners miss The untapped potential of artificial intelligence for business growth. The conversation explores how most people are barely scratching the surface of AI's capabilities, sharing practical examples of how AI can research prospects, create marketing campaigns, build prototypes, and even write books in a fraction of the time traditional methods require. Mike Koenigs is the author of "The AI Accelerator" and founder of the Superpower Accelerator. As one of Charles' early mentors, Mike has consistently stayed ahead of marketing trends and now helps business owners harness AI to expand their capabilities, create one-person marketing teams, elevate their authority, and scale without adding headcount. His innovative "thousand dollars cup of coffee" campaign demonstrates how AI-powered research can transform client consultations and dramatically increase revenue. KEY TAKEAWAYS: Most businesses only scratch the surface of AI potential, using basic ChatGPT instead of the full AI ecosystem. Quality AI output directly reflects quality input—effective prompt crafting is essential. Successful AI adoption requires understanding possibilities, selecting right tools, and focusing on four key functions. Being "tool agnostic" is crucial—multiple AI models provide better insights than any single tool. AI's greatest advantage comes from unleashing imagination and asking better questions. Create AI style guides to capture brand voice and apply consistently across all content. The "one-person marketing department" is now possible through comprehensive AI tools. Mike's "thousand dollars cup of coffee" model demonstrates how AI research transforms high-ticket sales. Websites: Main Website: https://superpoweraccelerator.com/ AI Accelerator: https://ai.mikekoenigs.com/ Book Website: https://aiaccelerator.mikekoenigs.com/ Social Media: LinkedIn: https://www.linkedin.com/in/mikekoenigs/ Growing your business is hard, but it doesn't have to be. In this podcast, we will be discussing top level strategies for both growing and expanding your business beyond seven figures. The show will feature a mix of pure content and expert interviews to present key concepts and fundamental topics in a variety of different formats. We believe that this format will enable our listeners to learn the most from the show, implement more in their businesses, and get real value out of the podcast. Enjoy the show. Please remember to rate, review and subscribe to the podcast so you don't miss any future episodes. Your support and reviews are important and help us to grow and improve the show. Follow Charles Gaudet and Predictable Profits on Social Media: Facebook: facebook.com/PredictableProfits Instagram: instagram.com/predictableprofits Twitter: twitter.com/charlesgaudet LinkedIn: linkedin.com/in/charlesgaudet Visit Charles Gaudet's Wesbites: www.PredictableProfits.com

Crafting Cannabis Episode #73 - BlueRidgeGrows is back! We got an update on the Helene aftermath, talked about sheep shearing and breeding autoflowers, and dove deep into AI research with cannabis health data, plus a lot more. Don't miss this one!----------------------------------Use code "craftingcannabispodcast" for 7% off at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://grovebags.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://craftingcannabispodcast.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://discord.gg/craftingcannabispodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@craftingcannabispodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@earlybird_autogrows⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@blackwatergrows⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@ruderalister⁠⁠⁠⁠⁠

In this episode, Dr. Linda Chu speaks with Sarah Atzen, Lead Scientific Editor for Radiology, about best practices for writing AI research papers. They explore key tips from the recent article “Top 10 Tips for Writing about AI in Radiology” to help authors improve clarity, accuracy, and impact. Top 10 Tips for Writing about AI in Radiology: A Brief Guide for Authors. Atzen. Radiology 2025; 314(2):e243347.

This and all episodes at: https://aiandyou.net/ . How to manage the integration of AI at scale into the enterprise is the territory of today's guest, Diane Gutiw, Vice President and leader of the AI research center at the global business consultancy CGI. She holds a PhD in Medical Information Technology Management and has led collaborative strategy design and implementation planning for advanced analytics and AI for large organizations in the energy and utilities, railway, and government healthcare sectors.  We talk about how enterprises manage the integration of AI at the dizzying speeds of change today, where AI does and does not impact employment, how the HR department should change in those enterprises, how to deal with hallucinations, and how to manage the risks of deploying generative AI in customer solutions.  All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.        

Are your mental health issues trapped between therapy appointments? When I hit a rough patch, I turned to AI for therapy out of desperation, and was genuinely shocked by the results. The AI asked me introspective questions identical to what my human therapist uses, but went further by offering specific suggestions my therapist couldn't provide. In this episode, we explore the surprising benefits and legitimate concerns of using AI for mental wellness. You'll discover how these tools can organize your scattered thoughts, provide actionable steps for improvement, and serve as a valuable bridge between professional therapy sessions. Listen now to learn how AI might become your unexpected mental health ally – just don't forget the human connection that algorithms can't replace. Topics Discussed: My personal experience using AI as a therapy tool How AI can provide structured introspection and actionable steps for mental health The surprising effectiveness of AI-generated journaling prompts for emotional connection The potential dangers of relying solely on AI for medical or mental health advice Privacy concerns and data collection risks when sharing personal information with AI Research comparing AI vs human doctor diagnostic accuracy (77% vs 67%) How AI lacks human imagination but excels at pattern recognition and memory recall The future integration of AI tools in professional healthcare settings Finding the balance between AI assistance and human connection Using AI to transform traditional journaling practices for deeper emotional connection ---- MORE FROM THE FIT MESS: Connect with us on Threads, Twitter, Instagram, Facebook, and Tiktok Subscribe to The Fit Mess on Youtube Join our community in the Fit Mess Facebook group ---- LINKS TO OUR PARTNERS: Take control of how you'd like to feel with Apollo Neuro Explore the many benefits of cold therapy for your body with Nurecover Muse's Brain Sensing Headbands Improve Your Meditation Practice. Get started as a Certified Professional Life Coach! Get a Free One Year Supply of AG1 Vitamin D3+K2, 5 Travel Packs Revamp your life with Bulletproof Coffee You Need a Budget helps you quickly get out of debt, and save money faster! Start your own podcast!    

In this episode, Dipendra Kumar, Staff Research Scientist, and Alnur Ali, Staff Software Engineer at Databricks, discuss the challenges of applying AI in enterprise environments and the tools being developed to bridge the gap between research and real-world deployment.Highlights include:- The challenges of real-world AI—messy data, security, and scalability.- Why enterprises need high-accuracy, fine-tuned models over generic AI APIs.- How QuickFix learns from user edits to improve AI-driven coding assistance.- The collaboration between research & engineering in building AI-powered tools.- The evolving role of developers in the age of generative AI.

Episode: Balancing AI and Human Connection in B2B MarketingIn this episode of the B2B Marketing Excellence Podcast, I'm diving into a topic that's close to my heart — how we can embrace AI while still preserving the human touch that builds strong, lasting business relationships.At World Innovators, our family-run agency has spent the last 44 years helping B2B companies reach the right audience through strategic marketing rooted in trust, personalization, and genuine care. Today, AI is offering incredible tools to support those efforts — but it's how we use them that matters most.In this episode, I share real stories (including a powerful post-conference message I received) and practical ways to use AI as a supportive partner — not a substitute. Whether it's using AI for note-taking, preparing for outreach, or personalizing communication, I walk through how to make these tools work for your brand while keeping your values front and center.Let's talk about how to build deeper, more meaningful connections — with a little help from technology, and a lot of heart.⏱️ Episode Breakdown:• 00:00 – Introduction: Balancing AI and Human Connection• 00:13 – The Legacy of Building Relationships• 00:53 – Leveraging AI Without Losing the Human Touch• 02:05 – Real-Life Experiences and Insights• 02:57 – The Role of AI in Enhancing Relationships• 05:47 – Practical Applications of AI in Business• 08:40 – The Human Element in AI-Assisted Communication• 12:31 – AI as a Support System, Not a Substitute• 16:25 – Conclusion: Embracing AI for Deeper ConnectionsAt World Innovators, we believe B2B marketing should be about building relationships, not just generating clicks. For 44 years, we've helped industrial and executive education brands find the right people through trusted media sources, curated email lists, and strategic outreach.

In this episode, Josiah Mackenzie shares some top takeaways from his latest research, including how 87% of hospitality professionals participating in the study already use AI to improve efficiency, creativity, and guest experience. Listen now for practical examples, underutilized AI opportunities, and actionable insights you can use in your hotel or hospitality business.Also see:AI 2027 ProjectWhat AI Might Bring Hotels in 2025 - Martin SolerAmerica's Chief AI Officer for Travel Shares Advice for 2025 - Janette Roush, Brand USALess Ringing, More Hospitality: AI-Powered PBX To Give Our Teams More Time for Guests - Steven Marais, Noble House Hotels & ResortsAI & Hotel Tech Bets For Our People-First Approach - Dina Belon, Staypineapple HotelsThe Future of Hotel Management: Automation, AI, and Innovation - Sloan Dean, Remington HospitalityAI's Impact On Our Business - Ernest Lee, citizenMHow AI Helps Me Run More Profitable Hotels - Sean Murphy, The Bower50 Days, 50 Concepts: Rethinking Experiential Hospitality with Generative AI - Dylan Barahona A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

Alejandro and Julia of theluddite.org join us to debunk some terrible AI research, and the bad reporting compounding the problems on top of that. Also, what is AI? Can it ever think for itself? Are you an expert in something and want to be on the show? Apply here! Please support the show on patreon! You get ad free episodes, early episodes, and other bonus content! This content is CAN credentialed, which means you can report instances of harassment, abuse, or other harm on their hotline at (617) 249-4255, or on their website at creatoraccountabilitynetwork.org.

Members of Elon Musk's Department of Government Efficiency now have access to technical systems maintained by United States Citizenship and Immigration Services, according to a recent memorandum viewed by FedScoop. The memo, which was sent from and digitally signed by USCIS Chief Information Officer William McElhaney, states that Kyle Shutt, Edward Coristine, Aram Mogahaddassi and Payton Rehling were granted access to USCIS systems and data repositories, and that a Department of Homeland Security review was required to determine whether that access should continue. Coristine, 19, is one of the more polarizing members of DOGE. He previously provided assistance to a cybercrime ring through a company he operated while he was in high school, according to other news outlets. Coristine worked for a short period at Neuralink, Musk's brain implant company, and was previously stationed by DOGE at the Cybersecurity and Infrastructure Security Agency. The memo, dated March 28, asks DHS Deputy Secretary Troy Edgar to have his office review and provide direction for the four DOGE men regarding their access to the agency's “data lake” — called USCIS Data Business Intelligence Services — as well as two associated enabling technologies, Databricks and Github. The document says DHS CIO Antoine McCord and Michael Weissman, the agency's chief data officer, asked USCIS to enable Shutt and Coristine's access to the USCIS data lake in mid-March, and Mogahaddassi requested similar access days later. A bipartisan bill to fully establish a National Science Foundation-based resource aimed at providing essential tools for AI research to academics, nonprofits, small businesses and others was reintroduced in the House last week. Under the Creating Resources for Every American To Experiment with Artificial Intelligence (CREATE AI) Act of 2025 (H.R. 2385), a full-scale National AI Research Resource would be codified at NSF. While that resource currently exists in pilot form, legislation authorizing the NAIRR is needed to continue that work. Rep. Jay Obernolte, R-Calif., who sponsors the bill, said in a written statement announcing the reintroduction: “By empowering students, universities, startups, and small businesses to participate in the future of AI, we can drive innovation, strengthen our workforce, and ensure that American leadership in this critical field is broad-based and secure.” The NAIRR pilot, as it stands, is a collection of resources from the public and private sectors — such as computing power, storage, AI models, and data — that are made available to those researching AI to make the process of accessing those types of tools easier. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

In today's show: The news of the day; Czech family's plea for bone marrow donor sparks nationwide response; bringing global and space phenomena to life in Žatec; and for our feature, we have Jakub Ferenčík's interview with Lea-Ann Germinder an AI researcher on Czech-US alignment in AI regulation, and more.

Send Everyday AI and Jordan a text messageStartups are changing quickly. That means Venture Capital is changing just as fast.

In this episode of the Security Matters podcast, host David Puner is joined by Lavi Lazarovitz, Vice President of Cyber Research at CyberArk Labs, to explore the transformative impact of AI agents on cybersecurity and automation. They discuss real-world scenarios where AI agents monitor security logs, flag anomalies, and automate responses, highlighting both the opportunities and risks associated with these advanced technologies.Lavi shares insights into the evolution of AI agents, from chatbots to agentic AI, and the challenges of building trust and resilience in AI-driven systems. The conversation delves into the latest research areas, including safety, privacy, and security, and examines how different industries are adopting AI agents to handle vast amounts of data.Tune in to learn about the critical security challenges posed by AI agents, the importance of trust in automation, and the strategies organizations can implement to protect their systems and data. Whether you're a cybersecurity professional or simply curious about the future of AI, this episode offers valuable insights into the rapidly evolving world of AI agents.

AI is changing the way businesses grow, and if you're not using it for research, you're falling behind. Whether it's market trends, audience insights, or competitor analysis, AI tools like ChatGPT and Gemini can give you a massive edge. In this podcast, I'll show you how to use AI research to make smarter business decisions, build a strong brand, and scale faster than ever.Want to see exactly how it works? Watch now and start leveraging AI to boost your business today.

In this episode of “Waking Up With AI,” Katherine Forrest and Anna Gressel examine the integration of end-to-end reasoning and agentic AI capabilities, with new developments from OpenAI, DeepMind and other leading AI labs. Katherine also shares her firsthand experience with OpenAI's new deep research capability, which is transforming academic applications of AI. ## Learn More About Paul, Weiss's Artificial Intelligence Practice: https://www.paulweiss.com/practices/litigation/artificial-intelligence

How can AI revolutionize the way we research and understand complex topics? In this Tech Talks Daily episode, I speak with Mel Morris, founder and CEO of Corpora.AI. This research engine redefines how individuals, businesses, and institutions approach knowledge discovery. With traditional search engines struggling to deliver depth and AI tools often relying on outdated or incomplete data, Corpora.AI takes a different approach. The platform processes millions of documents per second using advanced AI and proprietary language graph technology, delivering research reports with real-time insights and source attribution. Unlike conventional AI models that generate content from limited datasets, Corpora.AI dynamically ingests over 100 petabytes of open-source intelligence, ensuring users can access the most comprehensive, accurate, and up-to-date information. Mel shares his vision for democratizing access to high-level research, making it possible for users across academia, medicine, law, finance, government, and journalism to gain deeper insights faster. We explore how Corpora.AI's real-time data ingestion and multilingual capabilities allow professionals to conduct advanced research in one language and receive results in another.  From patent research and market analysis to education and rapid learning, the applications of this research engine extend far beyond what traditional AI-powered search tools can offer. We also discuss how Corpora.AI is tackling some of the biggest challenges in AI-driven research, including bias, credibility, and transparency. By providing research reports with 400-500 cited sources per query, the platform ensures that every insight is traceable, allowing users to verify information and make informed decisions. With AI reshaping how we access and interpret knowledge, what does the future hold for research, education, and data-driven decision-making? Will AI-driven research engines like Corpora.AI replace traditional search methods? And how can businesses and institutions leverage these tools to stay ahead of the curve? Join me for this fascinating discussion as we explore the future of AI-powered research and how Corpora.AI is setting a new standard for knowledge discovery.