Podcasts about reasoning

"McElroy & Cubelic In The Morning" airs 7am-10am weekdays on WJOX-94.5!See omnystudio.com/listener for privacy information.

Who are we to say what is right and wrong? We once burned witches; now we have openly practicing Wiccans. Clearly, morals are relative. Or are they? You'll want to take a listen and think about where morals come from.-Feel free to email us with any questions at info@servingbb.org or for more information check out our website at https://servingbeyondborders.org-Follow us on:Instagram - @servingbeyondbordersYouTube - Serving Beyond BordersFacebook - Serving Beyond Borders-"For even the Son of Man did not come to be served but to serve. . ." Mark 10:45-TUNE IN: https://podcasts.apple.com/us/podcast/the-radical-christian-life-with-doug-and-paula/id1562355832

Pedro Domingos, author of the bestselling book "The Master Algorithm," introduces his latest work: Tensor Logic - a new programming language he believes could become the fundamental language for artificial intelligence.Think of it like this: Physics found its language in calculus. Circuit design found its language in Boolean logic. Pedro argues that AI has been missing its language - until now.**SPONSOR MESSAGES START**—Build your ideas with AI Studio from Google - http://ai.studio/build—Prolific - Quality data. From real people. For faster breakthroughs.https://www.prolific.com/?utm_source=mlst—cyber•Fund https://cyber.fund/?utm_source=mlst is a founder-led investment firm accelerating the cybernetic economyHiring a SF VC Principal: https://talent.cyber.fund/companies/cyber-fund-2/jobs/57674170-ai-investment-principal#content?utm_source=mlstSubmit investment deck: https://cyber.fund/contact?utm_source=mlst—**END**Current AI is split between two worlds that don't play well together:Deep Learning (neural networks, transformers, ChatGPT) - great at learning from data, terrible at logical reasoningSymbolic AI (logic programming, expert systems) - great at logical reasoning, terrible at learning from messy real-world dataTensor Logic unifies both. It's a single language where you can:Write logical rules that the system can actually learn and modifyDo transparent, verifiable reasoning (no hallucinations)Mix "fuzzy" analogical thinking with rock-solid deductionINTERACTIVE TRANSCRIPT:https://app.rescript.info/public/share/NP4vZQ-GTETeN_roB2vg64vbEcN7isjJtz4C86WSOhw TOC:00:00:00 - Introduction00:04:41 - What is Tensor Logic?00:09:59 - Tensor Logic vs PyTorch & Einsum00:17:50 - The Master Algorithm Connection00:20:41 - Predicate Invention & Learning New Concepts00:31:22 - Symmetries in AI & Physics00:35:30 - Computational Reducibility & The Universe00:43:34 - Technical Details: RNN Implementation00:45:35 - Turing Completeness Debate00:56:45 - Transformers vs Turing Machines01:02:32 - Reasoning in Embedding Space01:11:46 - Solving Hallucination with Deductive Modes01:16:17 - Adoption Strategy & Migration Path01:21:50 - AI Education & Abstraction01:24:50 - The Trillion-Dollar WasteREFSTensor Logic: The Language of AI [Pedro Domingos]https://arxiv.org/abs/2510.12269The Master Algorithm [Pedro Domingos]https://www.amazon.co.uk/Master-Algorithm-Ultimate-Learning-Machine/dp/0241004543 Einsum is All you Need (TIM ROCKTÄSCHEL)https://rockt.ai/2018/04/30/einsum https://www.youtube.com/watch?v=6DrCq8Ry2cw Autoregressive Large Language Models are Computationally Universal (Dale Schuurmans et al - GDM)https://arxiv.org/abs/2410.03170 Memory Augmented Large Language Models are Computationally Universal [Dale Schuurmans]https://arxiv.org/pdf/2301.04589 On the computational power of NNs [95/Siegelmann]https://binds.cs.umass.edu/papers/1995_Siegelmann_JComSysSci.pdf Sebastian Bubeckhttps://www.reddit.com/r/OpenAI/comments/1oacp38/openai_researcher_sebastian_bubeck_falsely_claims/ I am a strange loop - Hofstadterhttps://www.amazon.co.uk/Am-Strange-Loop-Douglas-Hofstadter/dp/0465030793 Stephen Wolframhttps://www.youtube.com/watch?v=dkpDjd2nHgo The Complex World: An Introduction to the Foundations of Complexity Science [David C. Krakauer]https://www.amazon.co.uk/Complex-World-Introduction-Foundations-Complexity/dp/1947864629 Geometric Deep Learninghttps://www.youtube.com/watch?v=bIZB1hIJ4u8Andrew Wilson (NYU)https://www.youtube.com/watch?v=M-jTeBCEGHcYi Mahttps://www.patreon.com/posts/yi-ma-scientific-141953348 Roger Penrose - road to realityhttps://www.amazon.co.uk/Road-Reality-Complete-Guide-Universe/dp/0099440687 Artificial Intelligence: A Modern Approach [Russel and Norvig]https://www.amazon.co.uk/Artificial-Intelligence-Modern-Approach-Global/dp/1292153962

Question about what tools of reasoning help us determine whether something is true or false, right or wrong, good or bad before bringing Scripture into it.   How do you determine whether something is true or false, whether an action is right or wrong, or whether something is good or bad? Before you bring in Scripture, what tools of reasoning help you recognize these categories in daily life?

Thinking of building your own AI security tool? In this episode, Santiago Castiñeira, CTO of Maze, breaks down the realities of the "Build vs. Buy" debate for AI-first vulnerability management.While building a prototype script is easy, scaling it into a maintainable, audit-proof system is a massive undertaking requiring specialized skills often missing in security teams. The "RAG drug" relies too heavily on Retrieval-Augmented Generation for precise technical data like version numbers, which often fails .The conversation gets into the architecture required for a true AI-first system, moving beyond simple chatbots to complex multi-agent workflows that can reason about context and risk . We also cover the critical importance of rigorous "evals" over "vibe checks" to ensure AI reliability, the hidden costs of LLM inference at scale, and why well-crafted agents might soon be indistinguishable from super-intelligence .Guest Socials -⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Santiago's LinkedinPodcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions asked:(00:00) Introduction(02:00) Who is Santiago Castiñeira?(02:40) What is "AI-First" Vulnerability Management? (Rules vs. Reasoning)(04:55) The "Build vs. Buy" Debate: Can I Just Use ChatGPT?(07:30) The "Bus Factor" Risk of Internal Tools(08:30) Why MCP (Model Context Protocol) Struggles at Scale(10:15) The Architecture of an AI-First Security System(13:45) The Problem with "Vibe Checks": Why You Need Proper Evals(17:20) Where to Start if You Must Build Internally(19:00) The Hidden Need for Data & Software Engineers in Security Teams(21:50) Managing Prompt Drift and Consistency(27:30) The Challenge of Changing LLM Models (Claude vs. Gemini)(30:20) Rethinking Vulnerability Management Metrics in the AI Era(33:30) Surprises in AI Agent Behavior: "Let's Get Back on Topic"(35:30) The Hidden Cost of AI: Token Usage at Scale(37:15) Multi-Agent Governance: Preventing Rogue Agents(41:15) The Future: Semi-Autonomous Security Fleets(45:30) Why RAG Fails for Precise Technical Data (The "RAG Drug")(47:30) How to Evaluate AI Vendors: Is it AI-First or AI-Sprinkled?(50:20) Common Architectural Mistakes: Vibe Evals & Cost Ignorance(56:00) Unpopular Opinion: Well-Crafted Agents vs. Super Intelligence(58:15) Final Questions: Kids, Argentine Steak, and Closing

Adam Crowley and Dorin Dickerson react to the response from Steelers' QB Aaron Rodgers regarding why TE Pat Freiermuth hasn't been getting many of the passes in games this season.

Carl and Mike get into why his wife is distraught in regards to them going on vacation and leaving their dogs in care while they are away. They then share thoughts on Lane Kiffin and how he handled his decision to leave Ole Miss for LSU and why they believe he may not have been 100 percent honest with some of the statements he made such as not knowing what his contract is with LSU.

Itential has announced FlowAI, a new offering that brings agentic AI to Itential’s network automation platform. On today’s Tech Bytes podcast Ethan Banks talks with Peter Sprygada, Chief Architect at Itential, about how FlowAI works, its components, and how Itential uses the Model Context Protocol (MCP). They also dig into how FlowAI supports AI-driven orchestration... Read more »

Ever met a smug evolutionist? They're the worst! Here the Kingdom strikes back with Doug & Paula showing that going from the goo to you via the zoo is absurd! Don't want to miss this!-Feel free to email us with any questions at info@servingbb.org or for more information check out our website at https://servingbeyondborders.org-Follow us on:Instagram - @servingbeyondbordersYouTube - Serving Beyond BordersFacebook - Serving Beyond Borders-"For even the Son of Man did not come to be served but to serve. . ." Mark 10:45-TUNE IN: https://podcasts.apple.com/us/podcast/the-radical-christian-life-with-doug-and-paula/id1562355832

Co-hosts Mark Thompson and Steve Little examine Google's groundbreaking Gemini 3 release, which delivers state-of-the-art multimodal reasoning and sets a new benchmark for AI capabilities. They also explore ChatGPT's upgrade to version 5.1 with improved instruction following and better handling of longer conversation.The hosts discuss Canva's new Creative Operating System, which now generates AI-powered designs directly within the platform.This week's Tip of the Week demonstrates how Gemini 3 can use the context you provide it to greatly improve the accuracy of your hand written transcription.In RapidFire, they cover NotebookLM's new deep research mode, Nano Banana's integration into Photoshop, Anthropic's privacy policy changes regarding training data, and how Claude's new usage monitoring feature can reduce your stress level.Timestamps:In the News:04:17 Google Gemini 3's Multimodal AI Reaches New Heights13:47 ChatGPT 5.1 upgrade is now better at following your Instructions22:39 Canva Creative Operating System: AI-Powered Design GenerationTip of the Week:26:21 Adding Reasoning to Your Transcriptions Improves AccuracyRapidFire:36:40 NotebookLM Becomes a Fully Featured Research Tool43:40 Nano Banana is Now Available in Photoshop47:20 Anthropic Announces Claude Chats Will Be Used for Training Data54:13 View Your Claude Usage in SettingsResource Links:Intro to Family History AI by the Family History AI Show Academyhttps://tixoom.app/fhaishowGoogle Gemini 3Introducing Gemini 3: A New Era of Intelligencehttps://blog.google/products/gemini/gemini-3/ChatGPT 5.1A smarter, more conversationalhttps://openai.com/index/gpt-5-1/GPT-5.1 New Features Explainedhttps://scalevise.com/resources/gpt-5-1-new-features/Canva Creative Operating SystemIntroducing Canva's Creative Operating Systemhttps://www.canva.com/newsroom/news/creative-operating-system/NotebookLM Deep ResearchNotebookLM adds Deep Research and support for more source typeshttps://blog.google/technology/google-labs/notebooklm-deep-research-file-types/Nano Banana in PhotoshopCreate with unlimited generations using Google Gemini 3 (Nano Banana Pro) in Adobe Fireflyhttps://blog.adobe.com/en/publish/2025/11/20/google-gemini-3-nano-banana-pro-firefly-photoshopAnthropic Privacy Policy UpdateAnthropic Will Use Claude Chats for Training Data: How to Opt Outhttps://www.wired.com/story/anthropic-using-claude-chats-for-training-how-to-opt-out/Updates to Consumer Terms and Privacy Policyhttps://www.anthropic.com/news/updates-to-our-consumer-termsClaude Usage MonitoringUsage Limit Best Practiceshttps://support.claude.com/en/articles/9797557-usage-limit-best-practicesTags:Artificial Intelligence, Genealogy, Family History, Google Gemini, ChatGPT, Canva, NotebookLM, Nano Banana, Anthropic Claude, Photo Restoration

Itential has announced FlowAI, a new offering that brings agentic AI to Itential’s network automation platform. On today’s Tech Bytes podcast Ethan Banks talks with Peter Sprygada, Chief Architect at Itential, about how FlowAI works, its components, and how Itential uses the Model Context Protocol (MCP). They also dig into how FlowAI supports AI-driven orchestration... Read more »

The Portage church of Christ is a group of pre-denominational Christians that are striving to serve the Lord together. Our goal is to please God, and we believe that the best way to do that is to follow the pattern that was established by the churches in the first century and revealed in the New Testament. We have no creed or doctrine except the Bible and we follow the Bible only. We strive for unity in the teaching of New Testament doctrine. Our congregation is not part of, or subject to, any larger man-made religious organization. We are a completely autonomous congregation. We are locally governed, just as the church in the first century was. How does one becomes a member of this church congregation? The exact same way as seen in the Biblical accounts. On the day of Pentecost following Jesus' resurrection, people who repented and were baptized were saved (Acts 2:38) and the saved were added to the church (Acts 2:47). These saved people were members of the body, or church (Colossians 1:18). To become a Christian, the Bible teaches: Hear the gospel (Rom. 10:17) Believe that Jesus Christ is the son of God (John 8:24, 58, Heb. 11:6) Repent of past sins (Luke 13:3, 5) Confess Jesus as Lord (Matt. 10:32-33, Rom. 10:9-10) Be baptized for the remission of sins (Acts 2:38, Mark 16:16) Remain Faithful to Christ (Rev. 2:10, 2 Tim 4:7-8)

In this video, I discuss John 3:1-8 and 1st Peter 1:23-25 to uncover (1) why being born again is necessary to be with God, and (2) how we are born again through the living and abiding word of God (the Gospel).#Bible #apologetics #Christianity #calvinism #sciencefaithandreasoning --------------------------------LINKS---------------------------------Science Faith & Reasoning podcast link: https://podcasters.spotify.com/pod/show/science-faith-reasoning Coffee with John Calvin Podcast link (An SFR+ Production hosted by Daniel Faucett) https://open.spotify.com/show/5UWb8SavK17HO8ERorHPYN Learning the Fundaments (An SFR+ Production hosted by Shepard Merritt): https://creators.spotify.com/pod/profile/shep304/ -----------------------------CONNECT------------------------------https://www.scifr.com Instagram: https://www.instagram.com/sciencefaithandreasoning X: https://twitter.com/SFRdaily

Madeline Miller, communication expert and Coach for Gen Z and Millennials, joined 3AW Breakfast.See omnystudio.com/listener for privacy information.

We're told that AI progress is slowing down, that pre-training has hit a wall, that scaling laws are running out of road. Yet we're releasing this episode in the middle of a wild couple of weeks that saw GPT-5.1, GPT-5.1 Codex Max, fresh reasoning modes and long-running agents ship from OpenAI — on top of a flood of new frontier models elsewhere. To make sense of what's actually happening at the edge of the field, I sat down with someone who has literally helped define both of the major AI paradigms of our time.Łukasz Kaiser is one of the co-authors of “Attention Is All You Need,” the paper that introduced the Transformer architecture behind modern LLMs, and is now a leading research scientist at OpenAI working on reasoning models like those behind GPT-5.1. In this conversation, he explains why AI progress still looks like a smooth exponential curve from inside the labs, why pre-training is very much alive even as reinforcement-learning-based reasoning models take over the spotlight, how chain-of-thought actually works under the hood, and what it really means to “train the thinking process” with RL on verifiable domains like math, code and science. We talk about the messy reality of low-hanging fruit in engineering and data, the economics of GPUs and distillation, interpretability work on circuits and sparsity, and why the best frontier models can still be stumped by a logic puzzle from his five-year-old's math book.We also go deep into Łukasz's personal journey — from logic and games in Poland and France, to Ray Kurzweil's team, Google Brain and the inside story of the Transformer, to joining OpenAI and helping drive the shift from chatbots to genuine reasoning engines. Along the way we cover GPT-4 → GPT-5 → GPT-5.1, post-training and tone, GPT-5.1 Codex Max and long-running coding agents with compaction, alternative architectures beyond Transformers, whether foundation models will “eat” most agents and applications, what the translation industry can teach us about trust and human-in-the-loop, and why he thinks generalization, multimodal reasoning and robots in the home are where some of the most interesting challenges still lie.OpenAIWebsite - https://openai.comX/Twitter - https://x.com/OpenAIŁukasz KaiserLinkedIn - https://www.linkedin.com/in/lukaszkaiser/X/Twitter - https://x.com/lukaszkaiserFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)Blog - https://mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) – Cold open and intro(01:29) – “AI slowdown” vs a wild week of new frontier models(08:03) – Low-hanging fruit: infra, RL training and better data(11:39) – What is a reasoning model, in plain language?(17:02) – Chain-of-thought and training the thinking process with RL(21:39) – Łukasz's path: from logic and France to Google and Kurzweil(24:20) – Inside the Transformer story and what “attention” really means(28:42) – From Google Brain to OpenAI: culture, scale and GPUs(32:49) – What's next for pre-training, GPUs and distillation(37:29) – Can we still understand these models? Circuits, sparsity and black boxes(39:42) – GPT-4 → GPT-5 → GPT-5.1: what actually changed(42:40) – Post-training, safety and teaching GPT-5.1 different tones(46:16) – How long should GPT-5.1 think? Reasoning tokens and jagged abilities(47:43) – The five-year-old's dot puzzle that still breaks frontier models(52:22) – Generalization, child-like learning and whether reasoning is enough(53:48) – Beyond Transformers: ARC, LeCun's ideas and multimodal bottlenecks(56:10) – GPT-5.1 Codex Max, long-running agents and compaction(1:00:06) – Will foundation models eat most apps? The translation analogy and trust(1:02:34) – What still needs to be solved, and where AI might go next

In this episode of Room to Grow, Curtis and Joanie reconsider the balance of conceptual understanding and procedural fluency in math instruction. Although this topic has been discussed before, our hosts acknowledge that there is great nuance and many considerations in considering these two ideas in the teaching and learning of mathematics.Curtis and Joanie discuss how inquiry-based, discovery-style learning opportunities are more open ended, are student centered, and are less teacher directed. They support these types of lessons in math instruction while recognizing that there are times when an explicit approach where teachers are sharing important information also has a place. Additionally, our hosts consider that teaching procedures and algorithms also provides and opportunity to cultivate conceptual understanding. When teachers help student find the  conceptual understanding within the procedures, they engage in mathematical reasoning. This type of reasoning through concepts and procedures contributes to a broader and more robust understanding of meaningful mathematics. Additional referenced content includes:·       NCTM article From Rules That Expire to Deeper Mathematical Thinking. Mathematics Teacher: Learning & Teaching PK-12 Volume 118 Issue 4. April 2025. (Membership required).·       NCTM article Teaching Is a Journey: From Rules That Expire to a Journey Aspired. Mathematics Teacher: Learning & Teaching PK-12 Volume 118 Issue 4. April 2025. (Membership required).·       Robert Kaplinski's website and Open Middle websiteDid you enjoy this episode of Room to Grow? Please leave a review and share the episode with others. Share your feedback, comments, and suggestions for future episode topics by emailing roomtogrowmath@gmail.com . Be sure to connect with your hosts on X and Instagram: @JoanieFun and @cbmathguy. 

The startup is working on AI that understands long, multi-screen processes. Funding accelerates reasoning models. We unpack the technical hurdles.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We take a look at critical thinking in science and healthcare, examining how we often fall prey to cognitive biases, emotional reasoning, and flawed thinking. Drawing from six different experts in their respective fields, the episode explores why we sometimes believe we are being rational when in fact our conclusions aren't truly evidence-based. The discussion spans what genuine evidence-based practice means, how domain expertise matters, and how factors like identity, beliefs, and emotions can derail objective reasoning. Timestamps [02:56] Dr. David Nunan on evidence-based medicine [15:30] Dr. John Kiely on translating research into practice [26:10] Dr. Gil Carvallo on emotion and decision making [30:10] Dr. David Robert Grimes on webs of belief [37:18] Dr. Matthew Facciani identity and belief formation [42:31] Dr. Alan Flanagan on domain-specific expertise in nutrition science Related Resources Go to episode page Join the Sigma email newsletter for free Subscribe to Sigma Nutrition Premium Enroll in the next cohort of our Applied Nutrition Literacy course Alan Flanagan's Alinea Nutrition Education Hub

Last week Doug & Paula discussed how the Kalam Cosmological Argument shows the reasonableness to believe God is there. Today they go further with another strong argument for the existence of God. Do you agree?-Feel free to email us with any questions at info@servingbb.org or for more information check out our website at https://servingbeyondborders.org-Follow us on:Instagram - @servingbeyondbordersYouTube - Serving Beyond BordersFacebook - Serving Beyond Borders-"For even the Son of Man did not come to be served but to serve. . ." Mark 10:45-TUNE IN: https://podcasts.apple.com/us/podcast/the-radical-christian-life-with-doug-and-paula/id1562355832

Discover how AWS leverages automated reasoning to enhance AI safety, trustworthiness, and decision-making. Byron Cook (Vice President and Distinguished Scientist) explains the evolution of reasoning tools from limited, PhD-driven solutions to scalable, user-friendly systems embedded in everyday business operations. He highlights real-world examples such as mortgage approvals, security policies, and how formal logic and theorem proving are used to verify answers and reduce hallucinations in large language models. This episode delves into the exciting potential of neurosymbolic AI to bridge the gap between complex mathematical logic and practical, accessible AI solutions. Join us for a deep dive into how these innovations are shaping the next era of trustworthy AI, with insights into tackling intractable problems, verifying correctness, and translating complex proofs into natural language for broader use. https://aws.amazon.com/what-is/automated-reasoning/

In this episode, I review the Biblical basis for encouraging church attendance and the beauty of what can be found in the local assemblage of the saints. If you miss church, the reality is that you are missing out.#apologetics #Christianity #church #scienceandfaith #christianpodcast #christianpodcasters #christianpodcasts #christianpodcaster #christianpodcasting #sciencefaithandreasoning #sfr-------------------------------LINKS--------------------------------Science Faith & Reasoning podcast link: https://podcasters.spotify.com/pod/sh... Coffee with John Calvin Podcast link (An SFR+ Production hosted by Daniel Faucett) https://open.spotify.com/show/5UWb8Sa... Learning the Fundaments (An SFR+ Production hosted by Shepard Merritt): https://creators.spotify.com/pod/prof... ----------------------------CONNECT-----------------------------https://www.scifr.com Instagram:   / sciencefaithandreasoning   X:   / sfrdaily  

This episode covers some of the basic things everyone should know when engaging in argument or debate, including an overview of some of the most common logical fallacies.

Does Gemini 3 live up to the hype? This week on Mixture of Experts, we analyze the release of Google's Gemini 3 model. Next, OpenAI released a new benchmark about the impact of AI on the economy, GDPval. We debate AI automation and the job market. Then, we always talk AI agents, today we discuss some great innovations coming out of IBM Research and more. Finally, Anthropic disrupted an AI-led cyberattack, what does this mean for AI agents and malicious actions? Join host Tim Hwang and our AI experts Marina Danilevsky, Merve Unuvar and Gabe Goodhart on this week's Mixture of Experts to learn more. 00:00 – Introduction 01:09 – Microsoft's AI infrastructure deal, IBM and UFC AI platform and ChatGPT for Teachers 02:00 – Gemini 3 12:50 – AI agent innovation 24:00 – OpenAI GPDval 37:17 – Anthropic cyberattack The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Discover CUGA → https://research.ibm.com/blog/cuga-agent-framework Boost your agent toolkit → https://research.ibm.com/blog/altk-agent-toolkit Listen to cybersecurity expert takes on Anthropic's cyberattacks → https://www.ibm.com/think/podcasts/security-intelligence/anthropic-stops-ai-spies-owasp-top-10-rise-small-time-ransomware

Kentik's Mav Turner joins host Phil Gervasi to go beyond chatbot hype and dig into real AI reasoning for network operations. They discuss how Kentik AI Advisor uses network intelligence, hybrid RAG, and tool-calling to troubleshoot issues, optimize cost, and democratize access to network expertise. Along the way, they cover architecture, data governance, model evaluation, and why AI has to be built into an observability platform itself, not bolted on.

In this episode Senior Pastor Kaira teaches on another KPI of spiritual maturity: our perspective. Reasoning by faith is more important than by facts and we learn that maturity is not ignoring said facts; its in deciding to perceive life through a higher reality; our faith.

You ever see a new AI model drop and be like.... it's so good OMG how do I use it?

This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, John chats with Paul Blankley, Founder and CTO of Zenlytic, live from Denver! Paul and John discuss the rapid evolution of AI in business intelligence, highlighting how AI is transforming data analysis and decision-making. Paul also explores the potential of AI as an "employee" that can handle complex analytical tasks, from unstructured data processing to proactive monitoring. Key insights include the increasing capabilities of AI in symbolic tasks like coding, the importance of providing business context to AI models, and the future of BI tools that can flexibly interact with both structured and unstructured data. Paul emphasizes that the next generation of AI tools will move beyond traditional dashboards, offering more intelligent, context-aware insights that can help businesses make more informed decisions. It's an exciting conversation you won't want to miss.Highlights from this week's conversation include:Welcoming Paul Back and Industry Changes (1:03)AI Model Progress and Superhuman Domains (2:01)AI as an Employee: Context and Capabilities (4:04)Model Selection and User Experience (7:37)AI as a McKinsey Consultant: Decision-Making (10:18)Structured vs. Unstructured Data Platforms (12:55)MCP Servers and the Future of BI Interfaces (16:00)Value of UI and Multimodal BI Experiences (18:38)Pitfalls of DIY Data Pipelines and Governance (22:14)Text-to-SQL, Semantic Layers, and Trust (28:10)Democratizing Semantic Models and Personalization (33:22)Inefficiency in Analytics and Analyst Workflows (35:07)Reasoning and Intelligence in Monitoring (37:20)Roadmap: Proactive AI by 2026 (39:53)Limitations of BI Incumbents, Future Outlooks and Parting Thoughts (41:15)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In today's lesson from 1 Samuel 15, we step into a crucial the moment in Biblical history when God rejects Saul as king. What begins as a clear command from God quickly becomes a portrait of how subtle and dangerous self-deception can be. We walk through the centuries-long background behind God's judgment on Amalek, tracing the story from Israel's wilderness years all the way to Saul's battlefield. Against that backdrop, Saul's response becomes even more striking: instead of obeying completely, he chooses selective obedience, keeping what looked valuable and justifying it with spiritual language. As the story unfolds, we see how easily the human heart twists God's Word. Saul reshapes God's command, redefines what obedience means, and convinces himself he has done exactly what God asked—while standing surrounded by the very evidence of his disobedience. Samuel exposes this with the piercing truth that God is not impressed by outward acts of worship that are used to cover inward rebellion. The famous line, “To obey is better than sacrifice,” becomes the anchor of the entire passage, reminding us that God desires submission more than spiritual performance. This chapter confronts us with the danger of consulting our own reasoning instead of trusting God's clear commands. Saul trusted his feelings, his logic, and his desires, elevating them to the level of God's authority. That decision becomes a form of idolatry and a warning to us: partial obedience is not obedience at all. Yet the story doesn't end in despair. It ultimately points us toward a better King—the one who faced the hardest command ever given and still prayed, “Not my will, but Yours be done.” If you've ever struggled with compromise, justification, or adjusting God's standards to fit your own, this lesson offers both a challenge and a hope. It calls us to lay down our reinterpretations and follow the example of Christ with a heart fully surrendered to God.

Can you prove God is there? Do we have to turn off our scientific mind in order to believe in God? This and other questions are discussed in today's podcast. Take a listen!-Feel free to email us with any questions at info@servingbb.org or for more information check out our website at https://servingbeyondborders.org-Follow us on:Instagram - @servingbeyondbordersYouTube - Serving Beyond BordersFacebook - Serving Beyond Borders-"For even the Son of Man did not come to be served but to serve. . ." Mark 10:45-TUNE IN: https://podcasts.apple.com/us/podcast/the-radical-christian-life-with-doug-and-paula/id1562355832

What can insights from the psychology of technology teach us about wisdom in the age of AI? In this special follow-up episode, Igor and Charles are joined by Steve Rathje to explore how classic ideas like the Turing Test hold up now that AI can talk compellingly about human wisdom. Steve unpacks what today's generative models are actually capable of, Igor is intrigued by how quickly the line between human and machine reasoning seems to be blurring, and Charles realises that telling human insight from machine insight isn't nearly as straightforward as he'd hoped. The trio also reveal the results of our listener poll — who sounded the wisest, and was the audience able to spot the AI? Welcome to Episode 67. Special Guest: Steve Rathje.

In this video, I explore why Catholic and Reformed Churches are experiencing a recent surge in popularity and attendance in the post-COVID era. Overall, I think Christians were tired of megachurch casual Christianity, and are wanting something more serious and traditional.#catholic #Christianity #reformed #reformation #calvinism #churchhistory #catholicism --------------------------------LINKS---------------------------------Science Faith & Reasoning podcast link: https://podcasters.spotify.com/pod/show/science-faith-reasoning Coffee with John Calvin Podcast link (An SFR+ Production hosted by Daniel Faucett) https://open.spotify.com/show/5UWb8SavK17HO8ERorHPYN Learning the Fundaments (An SFR+ Production hosted by Shepard Merritt): https://creators.spotify.com/pod/profile/shep304/ -----------------------------CONNECT------------------------------https://www.scifr.com Instagram: https://www.instagram.com/sciencefaithandreasoning X: https://twitter.com/SFRdaily

In this episode, Sydney Hunt ('23 cohort) interviews fellow host Anson Zhou ('24 cohort) alongside special guest host Katherine Hu ('22 cohort). Anson imagines a world where all medical discoveries successfully translate into patient care. He discusses how his experiences in research, consulting, and clinical rotations deepened his commitment to addressing the “translation gap” in medicine — ensuring that innovations reach the patients who need them most. Highlights from this episode: (06:27) Journey from New York to Suzhou, China to D.C. and eventually California(11:02) Pursuing biomedical engineering in undergrad(20:01) Reasoning behind pursuing an MD and MBA dual degree at Stanford(29:34) Reflecting on the MD experience so far(34:50) Hopes for his MBA year(40:38) How he plans to use his MD and MBA in the future(45:34) Rapid questions, advice to Knight-Hennessy Scholars applicants, and improbable facts

Reasoning—the process of drawing conclusions from prior knowledge—is a hallmark of intelligence. Large language models, and more recently, large reasoning models have demonstrated impressive results on many reasoning-intensive benchmarks. Careful studies over the past few years have revealed that LLMs may exhibit some reasoning behavior, and larger models tend to do better on reasoning tasks. However, even the largest current models still struggle on various kinds of reasoning problems. In this talk, we will try to address the question: Are the observed reasoning limitations of LLMs fundamental in nature? Or will they be resolved by further increasing the size and data of these models, or by better techniques for training them? I will describe recent work to tackle this question from several different angles. The answer to this question will help us to better understand the risks posed by future LLMs as vast resources continue to be invested in their development. About the speaker: Abulhair Saparov is an Assistant Professor of Computer Science at Purdue University. His research focuses on applications of statistical machine learning to natural language processing, natural language understanding, and reasoning. His recent work closely examines the reasoning capacity of large language models, identifying fundamental limitations, and developing new methods and tools to address or workaround those limitations. He has also explored the use of symbolic and neurosymbolic methods to both understand and improve the reasoning capabilities of AI models. He is also broadly interested in other applications of statistical machine learning, such as to the natural sciences.

A CMO Confidential Interview with Andy Sack and Adam Brotman, Co-Founders and Co-CEO's of Forum 3, authors of the book AI First, previously at Microsoft and Starbucks. Adam and Andy discuss the exponential growth of LLM's in the 3 years since the Chat GPT launch, the rapid pace of consumer adoption and "why there's never been a bigger prize in capitalism." Key topics include: why the circular tie-ups between the models and chip providers may make sense, their belief that only 5% of companies are well underway; why you should use AI at least 10 times a day; and how the "current way of doing business" is the biggest blocker to progress. Tune in to hear 2026 predictions, why you should have a "family password," and how an AI Zoom scam resulted in a $20 million loss for the company. AI: The Year That Changed Marketing | Andy Sack & Adam Brotman on CMO ConfidentialFormer Starbucks Chief Digital Officer Adam Brotman and investor/operator Andy Sack return to break down AI's wild 2025—and what's next for marketers and the C-suite in 2026. We cover the rise of reasoning models and agents, chip-and-model tie-ups, who's winning (and who's falling behind), why only ~5% of companies are truly “underway,” and how consumer behavior is racing ahead of most enterprises. Adam and Andy deliver pragmatic guidance for boards, CEOs, and CMOs: where to lean in, how to organize, and what to build now.What you'll learn:• The real story on model advances, agents, and the chip/energy bottlenecks• Why supply-lock deals aren't “circular nonsense” and how they'll shape winners/losers• Enterprise reality check: 5% vs. 95%, and why CEO/board sponsorship determines lift-off• Consumer adoption, zero-click search, and how discovery is shifting under your feet• Marketing beyond efficiency: ideation, synthetic testing, and creative at production speed• 2026 predictions: Apple's big AI move, the year of consumer agents, and new AI devices• Risk & resilience: deepfake fraud, the “family password,” and change management that sticksActionable takeaways:• Use AI 10×/day; turn on voice and select a “thinking/reasoning” model for complex work• Treat AI as a company-wide transformation, not an IT pilot; pick a few high-value use cases and own them from the top• Experiment with agentic workflows and AI video to compress cycle time from storyboard to launchSponsored by @typefaceai Typeface helps the world's biggest brands go from brief to fully personalized, on-brand campaigns in hours—not months. Their agentic AI marketing platform automates workflows across ads, email, and video, integrates with your MarTech stack, and includes enterprise-grade security. Adweek named Typeface “AI Company of the Year,” TIME listed it among the Best Inventions, and Fast Company called it the next big thing in tech. See how brands like @ASICSGlobal and @Microsoft are transforming marketing with Typeface: typeface.ai/cmoAbout CMO ConfidentialHosted by five-time CMO Mike Linton, CMO Confidential goes inside the decisions, politics, and trade-offs of one of the most scrutinized jobs in the C-suite. New episodes every Tuesday on Spotify, Apple, and YouTube.00:00 Intro & Sponsor: Typeface02:00 Topic & Guests — Adam Brotman and Andy Sack03:00 Three-year AI surge: usage, video, geopolitics06:00 Reasoning models, long-duration agents, chip/energy demand10:00 Midroll: Typeface12:00 Capital tie-ups: supply lock vs. “circular money”15:00 Winners & losers: the AGI race and consolidation16:00 Enterprise adoption: board/CEO-led change vs. IT pilots18:50 Reality check: 5% “well underway,” 95% early22:00 Consumer adoption: everyday use, underutilization25:00 Can companies keep up? Why most are lagging27:00 Search is shifting: AI overviews, assistants everywhere29:00 Marketing beyond efficiency: ideation, automation, CX31:00 AI video examples to study (Kalshi ad, IAm8)33:30 Agencies & consultancies adapting (Accenture, BCG, McKinsey)34:30 2026 predictions: Apple's big move, year of agents, new devices36:00 2026 tensions: labor disruption, backlash, “bumpy” progress38:00 Practical tips: use AI 10×/day, voice mode, “thinking” models41:00 Tools & safety: @lovable family/business passwords42:00 Deepfake/Zoom heist cautionary tale44:00 Wrap-up: subscribe & episode library44:30 Closing Sponsor: Typeface —CMO Confidential,Mike Linton,Adam Brotman,Andy Sack,Typeface,agentic AI,AI marketing,marketing strategy,chief marketing officer,CMO,CEO,board strategy,enterprise AI,reasoning models,AI agents,AGI,LLMs,generative AI,Claude,Gemini,ChatGPT,NVIDIA,semiconductors,MarTech,creative automation,personalization,zero click search,search disruption,media buying,advertising,brand vs performance,organizational design,change management,digital transformation,customer experience,synthetic personas,AI video,SOA,Sora,Replit Agent,Apple AI,Perplexity,security,deepfakes,family password,go to market,content at scale,ASICSSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Text: Acts 17:1-4  A sermon from our Sunday night series through the book of Acts

In this video, I have ChatGPT write a sermon on the same passage of Scripture that I wrote a sermon on, and then I compared its sermon to my own for percent similarity, and they were scarily similar. Please comment below your thoughts on the use of AI as Christians in sermon preparation and in Bible interpretation.#ai #chatgpt #christianty #sermon #apologetics #bible #sermonprep --------------------------------LINKS---------------------------------Science Faith & Reasoning podcast link: https://podcasters.spotify.com/pod/show/science-faith-reasoning Coffee with John Calvin Podcast link (An SFR+ Production hosted by Daniel Faucett) https://open.spotify.com/show/5UWb8SavK17HO8ERorHPYN Learning the Fundaments (An SFR+ Production hosted by Shepard Merritt): https://creators.spotify.com/pod/profile/shep304/ ----------------------SPECIAL THANKS------------------------Featured Guest:Shepard MerrittInstagram: instagram.com/shepmusic_YouTube: https://www.youtube.com/channel/UChJputX-cVDPJWp7YVeGZYQ-----------------------------CONNECT------------------------------https://www.scifr.com Instagram: https://www.instagram.com/sciencefaithandreasoning X: https://twitter.com/SFRdaily

What if business intelligence didn't stop at answering what happened, but could finally explain why? In this episode of Tech Talks Daily, I sit back down with Alberto Pan, Chief Technology Officer at Denodo, to unpack how Deep Query is redefining enterprise AI through reasoning, transparency, and context. We explore how Deep Query functions as an AI reasoning agent capable of performing open-ended research across live, governed enterprise data. Instead of relying on pre-built dashboards or static reports, it builds and executes multi-step analyses through Denodo's logical data layer, unifying fragmented data sources in real time. Alberto explains how this semantic layer provides the business meaning and governance that traditional GenAI tools lack, transforming AI from a surface-level Q&A system into a trusted analytical partner. Our conversation also digs into the bigger picture of explainable AI. Deep Query reports include a full appendix of executed queries, allowing users to trace every insight back to its source. Alberto breaks down why this level of auditability matters for enterprise trust and how Denodo's support for the Model Context Protocol (MCP) opens the door to more interoperable, agentic AI systems. As we discuss how Deep Query compares with RAG models and data lakehouses, Alberto offers a glimpse into the future of business intelligence—one where analysts become guides for AI-driven research assistants, and decision-makers gain faster, deeper, and more transparent insights than ever before. So what does the rise of reasoning agents like Deep Query mean for the next generation of enterprise AI? And how close are we to a world where AI truly understands the why behind the data? Tune in and share your thoughts after listening.   Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

Apologetics Pt. 4 Reasoning with Catholics with Rick Wyffels by Upcountry Calvary

There's a brand new book for K-2 teachers! In this episode, Pam and Kim discuss how strategies in early mathematics build upon each other and increase in sophistication for future learning.Talking Points:Strategies build on each other, algorithms do notThe importance of building relationships and mental actions in students' brainsGet to Ten grows up to Get to a Friendly NumberAdd Ten grows up to Add a Friendly Number How the Over and Give and Take strategies help students think outside the problemWays developing strategies allows for differentiation Purchasing Information: Developing Mathematical Reasoning: The Strategies, Models, and Lessons to Teach the Big Ideas in K-2 https://www.mathisfigureoutable.com/dmrk2Check out our social mediaTwitter: @PWHarrisInstagram: Pam Harris_mathFacebook: Pam Harris, author, mathematics educationLinkedin: Pam Harris Consulting LLC 

What if the single question that transforms your travel is the simplest one: why do you travel? We're marking 100,000 downloads and three years of Solo Travel Adventures by digging into intention and how it can reshape everything from destination to day-by-day choices.We explore eight clear reasons people hit the road—connection with family and friends, rest from work, special events like festivals or marathons, cultural immersion, ethical volunteering, media-fueled inspiration, bucket list dreams, and even work travel. For each, we break down how to plan with focus so your itinerary actually serves your purpose. You'll hear practical examples like choosing lodging close to loved ones, avoiding tourist traps when your anchor is a festival, vetting volunteer opportunities to prevent exploitation, and using Workaway-style experiences to learn skills like permaculture while keeping costs low. We also share how to turn business trips into meaningful micro-journeys by stacking small, intentional moments around a packed schedule.This chapter of the show leans into a more focused approach to solo travel, with clear steps to define your why and filter every decision through it. If your goal is rest, plan fewer hotel changes and longer stays. If your goal is culture, prioritize neighborhood markets, local guides, and public transit. If your goal is wonder, choose timing and pace that make space for awe instead of burnout. By aligning purpose and plan, you trade FOMO for fulfillment and return home changed—in the ways you actually hoped for.We're also inviting you to a free virtual travel summit on November 15 from 11 a.m. to 3 p.m. EST with 20 speakers sharing experience-driven insights you can use right away. Come for clarity, leave with a plan that fits you. If this resonates, follow the show, share it with a friend, and leave a quick review—what's the purpose of your next trip?Virtual Travel Summit Sign Up:https://thetravelcoachnetwork.mykajabi.com/travel-coach-virtual-summit-2025Support the showhttps://www.cherylbeckesch.com hello@cherylbeckesch.com Instagram @solotraveladventures50

In part two of last week's podcast, Doug & Paula continue their discussion of stupid sayings that break the Law of non-Contradiction. What's amazing is that these are from famous philosophers! You'll want to listen to this!-Feel free to email us with any questions at info@servingbb.org or for more information check out our website at https://servingbeyondborders.org-Follow us on:Instagram - @servingbeyondbordersYouTube - Serving Beyond BordersFacebook - Serving Beyond Borders-"For even the Son of Man did not come to be served but to serve. . ." Mark 10:45-TUNE IN: https://podcasts.apple.com/us/podcast/the-radical-christian-life-with-doug-and-paula/id1562355832

Power is the new bottleneck, reasoning got real, and the business finally caught up. In this wide-ranging conversation, I sit down with Nathan Benaich, Founder and General Partner at Air Street Capital, to discuss the newly published 2025 State of AI report—what's actually working, what's hype, and where the next edge will come from. We start at the physical layer: energy procurement, PPAs, off-grid builds, and why water and grid constraints are turning power—not GPUs—into the decisive moat.From there, we move into capability: reasoning models acting as AI co-scientists in verifiable domains, and the “chain-of-action” shift in robotics that's taking us from polished demos to dependable deployments. Along the way, we examine the market reality—who's making real revenue, how margins actually behave once tokens and inference meet pricing, and what all of this means for builders and investors.We also zoom out to the ecosystem: NVIDIA's position vs. custom silicon, China's split stack, and the rise of sovereign AI (and the “sovereignty washing” that comes with it). The policy and security picture gets a hard look too—regulation's vibe shift, data-rights realpolitik, and what agents and MCP mean for cyber risk and adoption.Nathan closes with where he's placing bets (bio, defense, robotics, voice) and three predictions for the next 12 months. Nathan BenaichBlog - https://www.nathanbenaich.comX/Twitter - https://x.com/nathanbenaichSource: State of AI Report 2025 (9/10/2025)Air Street CapitalWebsite - https://www.airstreet.comX/Twitter - https://x.com/airstreetMatt Turck (Managing Director)Blog - https://www.mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturckFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCap(0:00) – Cold Open: “Gargantuan money, real reasoning”(0:40) – Intro: State of AI 2025 with Nathan Benaich(02:06) – Reasoning got real: from chain-of-thought to verified math wins(04:11) – AI co-scientist: hypotheses, wet-lab validation, fewer “dumb stochastic parrots” (04:44) – Chain-of-action robotics: plan → act you can audit(05:13) – Humanoids vs. warehouse reality: where robots actually stick first(06:32) – The business caught up: who's making real revenue now(08:26) – Adoption & spend: Ramp stats, retention, and the shadow-AI gap(11:00) – Margins debate: tokens, pricing, and the thin-wrapper trap(14:02) – Bubble or boom? Wall Street vs. SF vibes (and circular deals)(19:54) – Power is the bottleneck: $50B/GW capex and the new moat(21:02) – PPAs, gas turbines, and off-grid builds: the procurement game(23:54) – Water, grids, and NIMBY: sustainability gets political(25:08) – NVIDIA's moat: 90% of papers, Broadcom/AMD, and custom silicon(28:47) – China split-stack: Huawei, Cambricon, and export zigzags(30:30) – Sovereign AI or “sovereignty washing”? Open source as leverage(40:40) – Regulation & safety: from Bletchley to “AI Action”—the vibe shift(44:06) – Safety budgets vs. lab spend; models that game evals(44:46) – Data rights realpolitik: $1.5B signals the new training cost(47:04) – Cyber risk in the agent era: MCP, malware LMs, state actors(50:19) – Agents that convert: search → commerce and the demo flywheel(54:18) – VC lens: where Nathan is investing (bio, defense, robotics, voice)(68:29) – Predictions: power politics, AI neutrality, end-to-end discoveries(1:02:13) – Wrap: what to watch next & where to find the report (stateof.ai)

The scientific method has undoubtedly provided great insight into the impersonal mechanics of the world around us throughout human history. However, the scientific method itself is put into practice by very personal human beings. How should our understanding of ourselves and our personal identities interact with what we learn through science? Today, hosts Robert J. Marks and Angus Menuge speak Read More › Source

If you slow down your life and stop and listen to what people actually say, you'll be shocked at some of the nonsense out there. To combat this Doug & Paula will introduce the key tool to have in your apologetic toolbox!-Feel free to email us with any questions at info@servingbb.org or for more information check out our website at https://servingbeyondborders.org-Follow us on:Instagram - @servingbeyondbordersYouTube - Serving Beyond BordersFacebook - Serving Beyond Borders-"For even the Son of Man did not come to be served but to serve. . ." Mark 10:45-TUNE IN: https://podcasts.apple.com/us/podcast/the-radical-christian-life-with-doug-and-paula/id1562355832

Mike Mulligan and David Haugh reacted to Ravens head coach John Harbaugh denying a report detailing the reason why the ping-pong tables were removed from the team's locker room.

- Gold and Silver Market Analysis (0:09) - Studio Move and Upcoming Interviews (3:52) - Chinese AI Breakthrough and AI Model Development (6:59) - Amazon's Automation Plans (8:38) - Impact of Automation on the Workforce (22:00) - The Future of Human Labor and AI Integration (32:17) - The Role of AI in Society and Government Control (32:32) - The Importance of Preparedness and Self-Reliance (38:46) - The Ethical Implications of AI and Robotics (48:53) - The Role of AI in Communication and Reasoning (1:02:14) - AI Models and Human Interaction (1:20:13) - Trump Administration Announcements (1:22:33) - Gold and Silver Market Analysis (1:23:45) - Stable Coins and Treasury Market (1:38:21) - Silver Market Manipulation and Squeeze (1:50:15) - BRICS and Belt and Road Initiative (1:50:30) - Rare Earths and U.S.-China Trade Tensions (1:55:03) - AI and Job Replacement (2:00:09) - DeepSea OCR and Image Compression (2:15:36) - Manufacturing and Economic Strategy (2:18:33) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Many Christians who have read the Bible have never realized that Pontius Pilate was a postmodernist! Now that sounds like something fun for Doug & Paula to discuss. You'll want to take a listen!-Feel free to email us with any questions at info@servingbb.org or for more information check out our website at https://servingbeyondborders.org-Follow us on:Instagram - @servingbeyondbordersYouTube - Serving Beyond BordersFacebook - Serving Beyond Borders-"For even the Son of Man did not come to be served but to serve. . ." Mark 10:45-TUNE IN: https://podcasts.apple.com/us/podcast/the-radical-christian-life-with-doug-and-paula/id1562355832#podcast #podcasting #podcasts #spotify #applepodcast #podcaster #interview #newpodcast #spotifypodcast #missions #jesus #god #love #bible #faith #jesuschrist #christian #church #christ #gospel #holyspirit #prayer #christianity #pray #theradicalchristianlife