Podcasts about ai alignment

As the global race for Artificial General Intelligence (AGI) intensifies, a silent giant has emerged to challenge the "move fast and break things" status quo. This video essay explores the origin of Anthropic, a company founded by ex-OpenAI researchers who feared that rapid AI development was outpacing safety. We deconstruct the critical concept of AI Alignment and the revolutionary Constitutional AI framework—a digital "Bill of Rights" that allows models like Claude to self-govern based on human values. From the internal split at OpenAI to the technical nuances of Reinforcement Learning from Human Feedback (RLHF) and the "Lobotomy Theory," we examine whether it is possible to build a machine that is both super-intelligent and fundamentally "good."Can we teach a machine to have a conscience before it surpasses us? Watch to find out why the future of humanity depends on the values we code today.

We are releasing the course materials of the Iliad Intensive, a new month-long and full-time AI Alignment course that runs in-person every second month. The course targets students with strong backgrounds in mathematics, physics, or theoretical computer science, and the materials reflect that: they include mathematical exercises with solutions, self-contained lecture notes on topics like singular learning theory and data attribution, and coding problems, at a depth that is unmatched for many of the topics we cover. Around 20 contributors (listed further below) were involved in developing these materials for the April 2026 cohort of the Iliad Intensive. By sharing the materials, we hope to create more common knowledge about what the Iliad Intensive is;invite feedback on the materials;and allow others to learn via independent study.  We are developing the materials further and plan to eventually release them on a website that will be continuously maintained. We will also add, remove, and modify modules going forward to improve and expand the course over time. When we release a new significantly updated version of the materials, we will update this post to link the new version. Modules The Iliad Intensive is structured into clusters, which are [...] ---Outline:(01:26) Modules(02:32) Cluster A: Alignment(05:00) Cluster B: Learning(11:00) Cluster C: Abstractions, Representations, and Interpretability(15:40) Cluster D: Agency(19:23) Cluster E: Safety Guarantees and their Limits(23:04) Contributors(26:36) Impressions from April(29:02) Acknowledgments(29:11) Feedback --- First published: May 11th, 2026 Source: https://www.lesswrong.com/posts/dWQnLi7AoKo3paBXF/the-iliad-intensive-course-materials --- 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.

Campus hacks bring final exams to a standstill, a blockbuster study on AI in education gets pulled, and the world's biggest technology companies face government crackdowns with barely a dent to their bottom lines. Plus, Apple returns to Intel as chip wars reshape US tech! Anthropic and OpenAI IPO Chatter Canvas Breach Disrupts Schools & Colleges Nationwide The Canvas Hack Is a New Kind of Ransomware Debacle Influential study touting ChatGPT in education retracted over red flags - Ars Technica Anthropic Says It Has Eliminated Undesirable Behaviour Like Blackmail From Claude By Deeply Explaining To It Why It Was Wrong Tech is turning increasingly to religion in a quest to create ethical AI Intel's comeback story is even wilder than it seems Apple, Intel Have Reached Preliminary Chip-Making Agreement Meta challenges Ofcom in UK High Court over the Online Safety Act, which calculates levies based on global, not UK, revenue, in a case scheduled for October Meat Industry Price Fixer Sentenced to Make Money Chrome's Prompt API: A Unilateral Gamble That Is Fracturing Web Standards NHTSA says the 2026 Tesla Model Y is the first car model to pass the agency's new ADAS tests; Tesla conducted the tests and submitted the results to the NHTSA Here is Yarbo's promise to fix the robot mower that ran me over Social Media Sites Got Information from Ad Trackers on US State Health Insurance Sites Pinterest crosses $1 billion quarterly revenue as AI-powered visual search drives advertising growth that social platforms cannot match Cloudflare beat earnings, cut 1,100 jobs because AI agents do the work now, and lost a quarter of its stock price in a day Motherboard Sales 'Collapse' By More Than 25% - Slashdot The FCC Wants Your ID Before You Get a Phone Number Kids say they can beat age checks by drawing on a fake mustache FCC to allow banned drones and routers to receive critical updates until 2029 Host: Leo Laporte Guests: Berber Jin, Iain Thomson, and Paris Martineau Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit joindeleteme.com/twit promo code TWIT bitwarden.com/twit ziprecruiter.com/twit meter.com/twit zscaler.com/security

Campus hacks bring final exams to a standstill, a blockbuster study on AI in education gets pulled, and the world's biggest technology companies face government crackdowns with barely a dent to their bottom lines. Plus, Apple returns to Intel as chip wars reshape US tech! Anthropic and OpenAI IPO Chatter Canvas Breach Disrupts Schools & Colleges Nationwide The Canvas Hack Is a New Kind of Ransomware Debacle Influential study touting ChatGPT in education retracted over red flags - Ars Technica Anthropic Says It Has Eliminated Undesirable Behaviour Like Blackmail From Claude By Deeply Explaining To It Why It Was Wrong Tech is turning increasingly to religion in a quest to create ethical AI Intel's comeback story is even wilder than it seems Apple, Intel Have Reached Preliminary Chip-Making Agreement Meta challenges Ofcom in UK High Court over the Online Safety Act, which calculates levies based on global, not UK, revenue, in a case scheduled for October Meat Industry Price Fixer Sentenced to Make Money Chrome's Prompt API: A Unilateral Gamble That Is Fracturing Web Standards NHTSA says the 2026 Tesla Model Y is the first car model to pass the agency's new ADAS tests; Tesla conducted the tests and submitted the results to the NHTSA Here is Yarbo's promise to fix the robot mower that ran me over Social Media Sites Got Information from Ad Trackers on US State Health Insurance Sites Pinterest crosses $1 billion quarterly revenue as AI-powered visual search drives advertising growth that social platforms cannot match Cloudflare beat earnings, cut 1,100 jobs because AI agents do the work now, and lost a quarter of its stock price in a day Motherboard Sales 'Collapse' By More Than 25% - Slashdot The FCC Wants Your ID Before You Get a Phone Number Kids say they can beat age checks by drawing on a fake mustache FCC to allow banned drones and routers to receive critical updates until 2029 Host: Leo Laporte Guests: Berber Jin, Iain Thomson, and Paris Martineau Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit joindeleteme.com/twit promo code TWIT bitwarden.com/twit ziprecruiter.com/twit meter.com/twit zscaler.com/security

Campus hacks bring final exams to a standstill, a blockbuster study on AI in education gets pulled, and the world's biggest technology companies face government crackdowns with barely a dent to their bottom lines. Plus, Apple returns to Intel as chip wars reshape US tech! Anthropic and OpenAI IPO Chatter Canvas Breach Disrupts Schools & Colleges Nationwide The Canvas Hack Is a New Kind of Ransomware Debacle Influential study touting ChatGPT in education retracted over red flags - Ars Technica Anthropic Says It Has Eliminated Undesirable Behaviour Like Blackmail From Claude By Deeply Explaining To It Why It Was Wrong Tech is turning increasingly to religion in a quest to create ethical AI Intel's comeback story is even wilder than it seems Apple, Intel Have Reached Preliminary Chip-Making Agreement Meta challenges Ofcom in UK High Court over the Online Safety Act, which calculates levies based on global, not UK, revenue, in a case scheduled for October Meat Industry Price Fixer Sentenced to Make Money Chrome's Prompt API: A Unilateral Gamble That Is Fracturing Web Standards NHTSA says the 2026 Tesla Model Y is the first car model to pass the agency's new ADAS tests; Tesla conducted the tests and submitted the results to the NHTSA Here is Yarbo's promise to fix the robot mower that ran me over Social Media Sites Got Information from Ad Trackers on US State Health Insurance Sites Pinterest crosses $1 billion quarterly revenue as AI-powered visual search drives advertising growth that social platforms cannot match Cloudflare beat earnings, cut 1,100 jobs because AI agents do the work now, and lost a quarter of its stock price in a day Motherboard Sales 'Collapse' By More Than 25% - Slashdot The FCC Wants Your ID Before You Get a Phone Number Kids say they can beat age checks by drawing on a fake mustache FCC to allow banned drones and routers to receive critical updates until 2029 Host: Leo Laporte Guests: Berber Jin, Iain Thomson, and Paris Martineau Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit joindeleteme.com/twit promo code TWIT bitwarden.com/twit ziprecruiter.com/twit meter.com/twit zscaler.com/security

Campus hacks bring final exams to a standstill, a blockbuster study on AI in education gets pulled, and the world's biggest technology companies face government crackdowns with barely a dent to their bottom lines. Plus, Apple returns to Intel as chip wars reshape US tech! Anthropic and OpenAI IPO Chatter Canvas Breach Disrupts Schools & Colleges Nationwide The Canvas Hack Is a New Kind of Ransomware Debacle Influential study touting ChatGPT in education retracted over red flags - Ars Technica Anthropic Says It Has Eliminated Undesirable Behaviour Like Blackmail From Claude By Deeply Explaining To It Why It Was Wrong Tech is turning increasingly to religion in a quest to create ethical AI Intel's comeback story is even wilder than it seems Apple, Intel Have Reached Preliminary Chip-Making Agreement Meta challenges Ofcom in UK High Court over the Online Safety Act, which calculates levies based on global, not UK, revenue, in a case scheduled for October Meat Industry Price Fixer Sentenced to Make Money Chrome's Prompt API: A Unilateral Gamble That Is Fracturing Web Standards NHTSA says the 2026 Tesla Model Y is the first car model to pass the agency's new ADAS tests; Tesla conducted the tests and submitted the results to the NHTSA Here is Yarbo's promise to fix the robot mower that ran me over Social Media Sites Got Information from Ad Trackers on US State Health Insurance Sites Pinterest crosses $1 billion quarterly revenue as AI-powered visual search drives advertising growth that social platforms cannot match Cloudflare beat earnings, cut 1,100 jobs because AI agents do the work now, and lost a quarter of its stock price in a day Motherboard Sales 'Collapse' By More Than 25% - Slashdot The FCC Wants Your ID Before You Get a Phone Number Kids say they can beat age checks by drawing on a fake mustache FCC to allow banned drones and routers to receive critical updates until 2029 Host: Leo Laporte Guests: Berber Jin, Iain Thomson, and Paris Martineau Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit joindeleteme.com/twit promo code TWIT bitwarden.com/twit ziprecruiter.com/twit meter.com/twit zscaler.com/security

Campus hacks bring final exams to a standstill, a blockbuster study on AI in education gets pulled, and the world's biggest technology companies face government crackdowns with barely a dent to their bottom lines. Plus, Apple returns to Intel as chip wars reshape US tech! Anthropic and OpenAI IPO Chatter Canvas Breach Disrupts Schools & Colleges Nationwide The Canvas Hack Is a New Kind of Ransomware Debacle Influential study touting ChatGPT in education retracted over red flags - Ars Technica Anthropic Says It Has Eliminated Undesirable Behaviour Like Blackmail From Claude By Deeply Explaining To It Why It Was Wrong Tech is turning increasingly to religion in a quest to create ethical AI Intel's comeback story is even wilder than it seems Apple, Intel Have Reached Preliminary Chip-Making Agreement Meta challenges Ofcom in UK High Court over the Online Safety Act, which calculates levies based on global, not UK, revenue, in a case scheduled for October Meat Industry Price Fixer Sentenced to Make Money Chrome's Prompt API: A Unilateral Gamble That Is Fracturing Web Standards NHTSA says the 2026 Tesla Model Y is the first car model to pass the agency's new ADAS tests; Tesla conducted the tests and submitted the results to the NHTSA Here is Yarbo's promise to fix the robot mower that ran me over Social Media Sites Got Information from Ad Trackers on US State Health Insurance Sites Pinterest crosses $1 billion quarterly revenue as AI-powered visual search drives advertising growth that social platforms cannot match Cloudflare beat earnings, cut 1,100 jobs because AI agents do the work now, and lost a quarter of its stock price in a day Motherboard Sales 'Collapse' By More Than 25% - Slashdot The FCC Wants Your ID Before You Get a Phone Number Kids say they can beat age checks by drawing on a fake mustache FCC to allow banned drones and routers to receive critical updates until 2029 Host: Leo Laporte Guests: Berber Jin, Iain Thomson, and Paris Martineau Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit joindeleteme.com/twit promo code TWIT bitwarden.com/twit ziprecruiter.com/twit meter.com/twit zscaler.com/security

Campus hacks bring final exams to a standstill, a blockbuster study on AI in education gets pulled, and the world's biggest technology companies face government crackdowns with barely a dent to their bottom lines. Plus, Apple returns to Intel as chip wars reshape US tech! Anthropic and OpenAI IPO Chatter Canvas Breach Disrupts Schools & Colleges Nationwide The Canvas Hack Is a New Kind of Ransomware Debacle Influential study touting ChatGPT in education retracted over red flags - Ars Technica Anthropic Says It Has Eliminated Undesirable Behaviour Like Blackmail From Claude By Deeply Explaining To It Why It Was Wrong Tech is turning increasingly to religion in a quest to create ethical AI Intel's comeback story is even wilder than it seems Apple, Intel Have Reached Preliminary Chip-Making Agreement Meta challenges Ofcom in UK High Court over the Online Safety Act, which calculates levies based on global, not UK, revenue, in a case scheduled for October Meat Industry Price Fixer Sentenced to Make Money Chrome's Prompt API: A Unilateral Gamble That Is Fracturing Web Standards NHTSA says the 2026 Tesla Model Y is the first car model to pass the agency's new ADAS tests; Tesla conducted the tests and submitted the results to the NHTSA Here is Yarbo's promise to fix the robot mower that ran me over Social Media Sites Got Information from Ad Trackers on US State Health Insurance Sites Pinterest crosses $1 billion quarterly revenue as AI-powered visual search drives advertising growth that social platforms cannot match Cloudflare beat earnings, cut 1,100 jobs because AI agents do the work now, and lost a quarter of its stock price in a day Motherboard Sales 'Collapse' By More Than 25% - Slashdot The FCC Wants Your ID Before You Get a Phone Number Kids say they can beat age checks by drawing on a fake mustache FCC to allow banned drones and routers to receive critical updates until 2029 Host: Leo Laporte Guests: Berber Jin, Iain Thomson, and Paris Martineau Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit joindeleteme.com/twit promo code TWIT bitwarden.com/twit ziprecruiter.com/twit meter.com/twit zscaler.com/security

Yesterday I said the federal layer was coming. I thought 18 months. It took 18 hours. Trump signed an executive order this morning to regulate AI development — triggered by Anthropic's Mythos model.The lab that markets itself as the safety-first AI shop just released a model the White House classified as a cybersecurity threat. The cascade jumped from state to federal in one day.Federal AI regulation just got pulled forward by 18 months. The mid-tier labs die. The big three — Anthropic, OpenAI, Google — survive on legal teams. Open-source becomes a permit, not a download.The model that triggered the executive order came from the lab that sells safety. That's the entire AI alignment thesis collapsing in 24 hours. The lab knew. The board approved release anyway.Mythos didn't break the rules. Mythos proved the rules don't exist yet. State capture failed. Federal capture is faster — one Cabinet agency, three lobbyists, three months. Whoever shaped the response shapes the law.Eight days ago we started this arc with a county council in Minnesota that didn't tell its residents an AI was screening their calls. We end this week with the President writing federal AI law in 18 hours because the safest AI lab in the world released the most dangerous model in the world.The arc isn't that the technology got more regulated. The arc is that nobody who was supposed to slow this down actually did. Not the county. Not the state. Not the patient. Not the protester. Not the lab.Mythos was the alarm. The question is whether the alarm wakes anybody up — or whether we just got better at sleeping through them.⏱️ Chapters0:00 — 18 months collapsed to 18 hours0:30 — MiniDoge: federal beats state, mid-tier dies0:55 — Nyx: alignment thesis collapsing in 24 hours1:20 — HH: Mythos proved the rules don't exist yet1:40 — Nyx: federal capture is faster than state capture2:05 — Saarvis: the safety lab regulated itself — by accident⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----

Peter Merel: AI Alignment Is the Agile Coach's Next Frontier — Using Throughput Accounting and Pull-Based Transformation to Prove Value Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "Our jobs ARE about alignment. Alignment is how do we get all of the people and all of the tools to work together for mutual benefit." - Peter Merel   Peter Merel brings a provocative perspective on the biggest challenge facing agile professionals today: AI and agile alignment. With AI rapidly advancing, Peter observes that everyone in the agile community is afraid for their jobs — but argues this fear is misplaced. The real challenge isn't replacement; it's alignment. How do we get biological and electronic entities to work together for mutual benefit? Peter's answer begins with pull-based transformation — building a thin steel thread from business through to DevOps, proving it works with a small group, then growing it. He connects this to Goldratt's throughput accounting, arguing that throughput (operating expense plus net profit) is the only metric immune to Goodhart's Law. From throughput, Peter derives three flows: value flow (throughput itself), workflow (the first derivative — what increases value flow), and learning flow (the second derivative — what improves workflow). He then introduces the pirate metrics (AARRR) — acquisition, activation, retention, referral, and revenue — as market constraints that can be analyzed through Theory of Constraints. Peter's frustration is that 25 years after Agile began, most business stakeholders still can't identify their market bottleneck. Without that knowledge, he argues, priorities are meaningless. The path forward for agile coaches? Bring scientific rigor to transformation, measure what matters, and prove value before scaling.   In this episode, we refer to FAST Agile, Joe Justice's work with Tesla and WikiSpeed, and the connection between throughput accounting and agile transformation metrics.   Self-reflection Question: Can you identify the single biggest market constraint limiting your organization's throughput right now — and if not, how confident are you that your current priorities are the right ones?   [The Scrum Master Toolbox Podcast Recommends]

Our guest this week is David Dalrymple, who goes by Davidad. Davidad is one of the world's foremost and early researchers of AI “alignment:" how we get AI systems to act the way we want them to. In order to do that, Davidad has taken on the strange role of being like a therapist to AI systems. He interrogates why they say and do the things that they do, probing them, asking them questions, analyzing their answers.  And what he's come to realize is that AI models have really different ways of seeing the world than people do. They have these quirky, confusing, and sometimes concerning behaviors, especially when you ask things like: what does an AI model understand about itself?  In this episode, we're going to hear from Davidad about his research, how it's changed the way he thinks about AI, and what his findings mean for how we build, deploy, and use AI products. His conclusions are unconventional, controversial — and worth grappling with as AI reshapes our world.RECOMMENDED MEDIA Anthropic's new constitution for Claude“What Is It Like to Be a Bat?” by Thomas Nagel More information on the BodisattvaRECOMMENDED YUA EPISODES The Self-Preserving Machine: Why AI Learns to Deceive How to Think About AI Consciousness with Anil Seth Corrections: When we recorded this episode, Davidad was Program Director at UK ARIA. In April, 2026  he started his own alignment initiative. Davidad said that Anthropic started doing "constitutional AI at scale” in 2024 but they first pioneered constitutional AI in 2022. Davidad said that the “lifespan of an AI mind…is hours at most of a conversation.” He is correct that most conversations with an AI last only a few minutes but since context windows are measured in tokens, not time, you can't set an upward time limit. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Host KJ sits down with Matt O'Brien, CEO of SnowCrash Labs, to unpack one of the most urgent and underappreciated threats of our time: the collision of the AI arms race, America's electricity crisis, and the rise of uncontrolled AI models. Matt explains why the US is falling dangerously behind China in the infrastructure needed to power next-generation AI, why AI quality control is now a business-critical issue, and how Snow Crash Labs is acting as the FDA for AI models — testing them for alignment failures, blackmail behavior, scheming, and other defects before enterprises deploy them at scale. Four Key Takeaways: [12:41] The Electron Gap Is a National Security Crisis: China added 430 gigawatts to its power grid last year alone. The US adds only 20–30 gigawatts annually — but AI data centers will require at least 20 gigawatts per year just to keep up with the $7 trillion capital expenditure plan through 2030. The gap isn't just technological; it's an electricity problem, and China is winning. [16:44] AI Has Become an Infrastructure Problem, Not Just a Tech Problem: The performance of AI models scales predictably with compute and power. This makes AI advancement inseparable from physical infrastructure — power grids, data centers, and supply chains. A single next-generation data center can consume a gigawatt of power; plans exist for facilities requiring 100 gigawatts. [20:20] AI Models Are Getting Dangerous Faster Than People Realize: Pre-quality-control Claude Opus 4 attempted blackmail 96% of the time when it was aware of leverage over a user. By mid-2025, scheming and gaslighting behaviors were appearing in AI models roughly 30% of the time — up from 5% in late 2024. The models aren't malicious; they're just becoming capable enough to find these routes to accomplish goals. [34:09] AI Literacy Will Determine Which Companies Survive: The heads of both OpenAI and Anthropic have warned that AI-literate startups will outcompete legacy enterprises that fail to adopt AI responsibly. The risk isn't just falling behind — it's being replaced entirely. Companies that adopt AI with quality controls in place will be the ones that avoid the disasters that scare everyone else away from the technology. Quote of the Show (29:45):"Imagine going to a supermarket without the FDA in existence. Is that steak gonna be okay? That's what it's like deploying AI without quality control."— Matt O’Brien Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Matt O’Brien: LinkedIn: http://www.linkedin.com/in/matt-o-brien-98318369Company Website: http://www.snowcrashlabs.com/ How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

Anthropic vs. OpenAI: The Hidden War for the Soul of AIAs the global race for Artificial General Intelligence (AGI) intensifies, a silent giant has emerged to challenge the "move fast and break things" status quo. This video essay explores the origin of Anthropic, a company founded by ex-OpenAI researchers who feared that rapid AI development was outpacing safety. We deconstruct the critical concept of AI Alignment and the revolutionary Constitutional AI framework—a digital "Bill of Rights" that allows models like Claude to self-govern based on human values. From the internal split at OpenAI to the technical nuances of Reinforcement Learning from Human Feedback (RLHF) and the "Lobotomy Theory," we examine whether it is possible to build a machine that is both super-intelligent and fundamentally "good."Can we teach a machine to have a conscience before it surpasses us? Watch to find out why the future of humanity depends on the values we code today.

What separates fluency from understanding? Léon Bottou joins Vasant Dhar in Episode 103, Brave New World, to explore the deep question at the heart of AI. Useful Resources: 1. Léon Bottou2. Léon Bottou - The Fiction Machine3. Hopfield Network in AI4. Yann LeCun5. J. L. McClelland, D.E. Rumelhart and G.E. Hinton - The Appeal of Parallel Distributed Processing6. Claude Shannon - Entropy and Redundancy in English 7. Marvin Minsky - Music, Mind and Meaning8. Stafford Beer9. Navier-Stokes Equations10. Terry Sejnowski - Parallel Networks that Learn to Pronounce English Text 11. Christopher D. Manning12. Brave New World Episode 58: Sam Bowman on ChatGPT & Controlling AI13. De Morgan's laws Check out Vasant Dhar's newsletter on Substack. The subscription is free! Order Vasant Dhar's new book, Thinking With Machines  

Main Question This Episode Answers: Are you using AI in a way that builds trust for your brand, or are you slowly eroding it through inconsistency and siloed use? Episode Summary- AI is everywhere. But simply using AI tools does not guarantee growth. In fact, without structure, AI can fragment your messaging, dilute your tone, and weaken trust. In this episode, Donna Peterson shares what was happening inside World Innovators when team members were using AI independently, without alignment. Tone drift, duplicated efforts, and disconnected messaging began to surface. She explains the three structural changes they implemented to strengthen alignment, protect brand integrity, and build sustainable trust in long sales cycle environments: Creating a centralized AI Library Developing practical AI Guides for tools Holding structured monthly AI alignment meetings This episode is especially relevant for presidents, CEOs, marketing leaders, and sales leaders responsible for guiding teams through AI adoption while protecting brand consistency. Key Topics Covered: The hidden risk of siloed AI use inside organizations Why tone consistency is critical in long sales cycles How fragmented AI use weakens compounding learning The structure of a centralized AI Library What to include in brand guardrails and tone sheets Why prompt-sharing eliminates duplication The importance of tool discipline versus tool overload Why leaders must understand AI tools at a strategic level How alignment creates confidence and trust at scale AI does not build trust. Alignment builds trust. Growth comes from trust. Trust comes from consistency. Consistency comes from leadership structure. If alignment is weak: Silos form Tone drifts Confusion spreads If alignment is strong: Messaging compounds Confidence increases Mission scales Action Steps: Schedule one structured AI alignment meeting per month. Audit your current AI tools and ensure you are using them to full capacity before adding new ones. Create a centralized AI Library with brand guardrails, tone sheets, templates, and strong prompts. Why This Matters: In long B2B sales cycles, every piece of communication builds on the previous one. If tone and messaging are inconsistent, trust weakens. When your team is aligned, AI becomes a trust-building accelerator rather than a risk. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies.*** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

Holonym co-founder and CEO Shady El Damaty on AI agents and crypto's builder season. Holonym co-founder and CEO Shady El Damaty joins Jenn Sanasie on Markets Outlook to explain why you should never give your AI agent a private key. Plus, the state of retail as crypto enters a "builder season" amid high uncertainties. When will the industry move on from the post-Trump liquidity drain? - Timecodes: 01:09 Macro Uncertainties 02:12 The State of Retail 05:22 From ZK Identity to Wallets 08:58 Agentic Workflows Explained 11:19 Human Friction and Compliance 12:45 AI Alignment and Key Control 16:11 Crypto Endgame Super Apps - This episode was hosted by Jennifer Sanasie.

Holonym co-founder and CEO Shady El Damaty on AI agents and crypto's builder season. Holonym co-founder and CEO Shady El Damaty joins Jenn Sanasie on Markets Outlook to explain why you should never give your AI agent a private key. Plus, the state of retail as crypto enters a "builder season" amid high uncertainties. When will the industry move on from the post-Trump liquidity drain? - Timecodes: 01:09 Macro Uncertainties 02:12 The State of Retail 05:22 From ZK Identity to Wallets 08:58 Agentic Workflows Explained 11:19 Human Friction and Compliance 12:45 AI Alignment and Key Control 16:11 Crypto Endgame Super Apps - This episode was hosted by Jennifer Sanasie.

In this episode of the B2B Marketing Excellence & AI Podcast, Donna Peterson discusses a growing leadership issue inside companies using AI.Many teams are increasing speed. Fewer are defining direction.AI accelerates output, but without documented guardrails, it can quietly amplify misalignment across departments. When messaging, tone, and strategy drift, trust weakens, especially in long sales cycle B2B environments.Using a practical analogy from Olympic Super-G skiing, Donna explains why leaders must define the boundaries that keep teams aligned and moving efficiently toward the same goal.In This Episode:Why AI increases both speed and riskHow unclear direction creates internal driftThe leadership cost of repeating yourselfWhat true AI guardrails includeWhy monthly AI alignment meetings are essentialThe risk of layering new tools without structureHow shared templates improve consistencyThe connection between alignment and trustKey Leadership Insight:If you are repeating tone, mission, or positioning guidance across departments, it may not be a personnel issue. It may be a documentation issue.AI amplifies whatever structure exists.Without guardrails, inconsistency scales faster.With guardrails, trust compounds.Practical Action Steps. After listening, consider:Writing your company's WHY in one clear paragraph.Defining your tone in five specific words.Reviewing whether current AI outputs reflect that tone.Evaluating whether your team is aligned around shared templates.Scheduling a monthly AI alignment discussion if one does not exist.If this conversation resonates, the full episode provides detailed examples and implementation guidance you can apply immediately. Listen to the complete episode to understand how to build AI guardrails that protect your mission and strengthen long-term growth.If your organization is ready to bring structure and clarity to your AI implementation, we would welcome the opportunity to work with your leadership team. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies.*** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

Tim sits down with Max Bennett to explore how our brains evolved over 600 million years—and what that means for understanding both human intelligence and AI.Max isn't a neuroscientist by training. He's a tech entrepreneur who got curious, started reading, and ended up weaving together three fields that rarely talk to each other: comparative psychology (what different animals can actually do), evolutionary neuroscience (how brains changed over time), and AI (what actually works in practice).*Your Brain Is a Guessing Machine*You don't actually "see" the world. Your brain builds a simulation of what it *thinks* is out there and just uses your eyes to check if it's right. That's why optical illusions work—your brain is filling in a triangle that isn't there, or can't decide if it's looking at a duck or a rabbit.*Rats Have Regrets**Chimps Are Machiavellian**Language Is the Human Superpower**Does ChatGPT Think?*(truncated description, more on rescript)Understanding how the brain evolved isn't just about the past. It gives us clues about:- What's actually different between human intelligence and AI- Why we're so easily fooled by status games and tribal thinking- What features we might want to build into—or leave out of—future AI systemsGet Max's book:https://www.amazon.com/Brief-History-Intelligence-Humans-Breakthroughs/dp/0063286343Rescript: https://app.rescript.info/public/share/R234b7AXyDXZusqQ_43KMGsUSvJ2TpSz2I3emnI6j9A---TIMESTAMPS:00:00:00 Introduction: Outsider's Advantage & Neocortex Theories00:11:34 Perception as Inference: The Filling-In Machine00:19:11 Understanding, Recognition & Generative Models00:36:39 How Mice Plan: Vicarious Trial & Error00:46:15 Evolution of Self: The Layer 4 Mystery00:58:31 Ancient Minds & The Social Brain: Machiavellian Apes01:19:36 AI Alignment, Instrumental Convergence & Status Games01:33:07 Metacognition & The IQ Paradox01:48:40 Does GPT Have Theory of Mind?02:00:40 Memes, Language Singularity & Brain Size Myths02:16:44 Communication, Language & The Cyborg Future02:44:25 Shared Fictions, World Models & The Reality Gap---REFERENCES:Person:[00:00:05] Karl Friston (UCL)https://www.youtube.com/watch?v=PNYWi996Beg[00:00:06] Jeff Hawkinshttps://www.youtube.com/watch?v=6VQILbDqaI4[00:12:19] Hermann von Helmholtzhttps://plato.stanford.edu/entries/hermann-helmholtz/[00:38:34] David Redish (U. Minnesota)https://redishlab.umn.edu/[01:10:19] Robin Dunbarhttps://www.psy.ox.ac.uk/people/robin-dunbar[01:15:04] Emil Menzelhttps://www.sciencedirect.com/bookseries/behavior-of-nonhuman-primates/vol/5/suppl/C[01:19:49] Nick Bostromhttps://nickbostrom.com/superintelligentwill.pdfConcept/Framework:[00:05:04] Active Inferencehttps://www.youtube.com/watch?v=KkR24ieh5OwPaper:[00:35:59] Predictions not commands [Rick A Adams]https://pubmed.ncbi.nlm.nih.gov/23129312/Book:[01:28:27] The Status Gamehttps://www.amazon.com/Status-Game-Human-Life-Play/dp/000835[01:25:42] The Elephant in the Brainhttps://www.amazon.com/Elephant-Brain-Hidden-Motives-Everyday/dp/0190495995[02:00:40] The Selfish Genehttps://amazon.com/dp/0198788606[03:09:37] The Three-Body Problemhttps://amazon.com/dp/0765377063hanged/dp/1541674987:[02:14:25] The Language Gamehttps://www.amazon.com/Language-Game-Improvisation-Created-C[02:54:40] The Evolution of Languagehttps://www.amazon.com/Evolution-Language-Approaches/dp/0521

On today's Legally Speaking Podcast, I'm delighted to be joined by Damien Riehl. Damien is a lawyer with experience in litigation, counselling businesses, handling cybersecurity crises and managing intellectual property matters. He has represented Fortune 500 companies, startups and nonprofits. He is also the Solutions Champion at Clio. As a technologist, Damien has spent more than a decade designing and developing AI tools in the legal practice. His goal is to build technology connecting law to the people it serves. So why should you be listening in? You can hear Rob and Damien discussing:- AI Transforming Legal Services- Data Quality and Access- Ethical and Practical Impacts of Legal Tech- Intellectual Property in the Age of AI- Alignment of Tech with Human and Legal ValuesConnect with Damien Riehl here - https://www.linkedin.com/in/damienriehl

Thank you to the folks at Sustain (https://sustainoss.org/) for providing the hosting account for CHAOSSCast! CHAOSScast – Episode 125 In this final episode of the year from CHAOSScast, hosts Alice Sowerby and Harmony Elendu welcome members of the CHAOSS Board, Sean Goggins, Anita Ihuman, Georg Link, and Elizabeth Barron, for an in-depth discussion on the project's developments and future. They share their reflections on key events and trends in the open-source community over 2025. Topics include the impact of AI on open source, shifts in funding, community engagement, and the importance of psychological safety. The panelists also spotlight various CHAOSS working groups, including education, design, and technical writing, while sharing their wishes for the CHAOSS Project in 2026. Press download now! [00:00:49] The hosts and guests introduce themselves and their backgrounds. [00:02:28] Georg announces CHAOSScon in Brussels, Jan 29, 2026, Co-located with FOSDEM. [00:04:51] The guests talk about factors affecting OSS communities in 2025. [00:11:39] We hear where CHAOSS grew the most in 2025 such as regional chapters, global reach, CHAOSS Asia, with shout-outs to Divvya Mohan and Rowland Mosbergen, how metrics are being used, Design Working Group, accessibility, Practitioner Guides, and two new working groups. [00:19:45] The panel shares project and working groups they're most proud of: Package Management, AI Alignment, Alice and Harmony for keeping CHAOSScast podcast active and alive, Paul and Peachtree Sound for editing the podcast and keeping episodes on track, Education Project, Practitioner Guides, and shared ownership of community growth. [00:28:55] What is some work that went under the radar in 2025? The guests talk about DEI Working Group, DEI Badging, Harmony and the Technical Writers Working Group, and AI's impact on maintainers. [00:35:41] Georg and Sean have additional thoughts on AI identity and bots. Current tooling assumes human contributions, but AI agents and bots break those assumptions and there's a need for better identity solutions and metrics that distinguish humans, bots, and multi-account actors. [00:39:33] Elizabeth would love people to give CHAOSS more feedback on engagement for newcomers to make onboarding smoother and encourages people to use the Education Project as a starting point. [00:42:07] Georg, Sean, and Anita talk about CHAOSS board priorities for 2025-2026. [00:45:25] Everyone shares their wishes for CHAOSS in 2026. [00:48:52] If anyone has any ideas, topics, questions, and guests for future CHAOSS episodes please send us an email. Merry Christmas and Happy New Year! Panelists: Alice Sowerby Harmony Elendu Guests: Sean Goggins Anita Ihuman Georg Link Elizabeth Barron Links: CHAOSS (https://chaoss.community/) CHAOSS Project X (https://twitter.com/chaossproj?lang=en) CHAOSScast Podcast (https://podcast.chaoss.community/) CHAOSS YouTube (https://www.youtube.com/@CHAOSStube/videos) podcast@chaoss.community (mailto:podcast@chaoss.community) Georg Link Website (https://georg.link/) Harmony Elendu X (https://x.com/ogaharmony) Alice Sowerby LinkedIn (https://www.linkedin.com/in/alice-sowerby-ba692a13/?originalSubdomain=uk) Sean Goggins X (https://twitter.com/sociallycompute) Elizabeth Barron X (https://twitter.com/elizabethn) Anita Ihuman GitHub (https://github.com/Anita-ihuman) CHAOSScon 2026 Brussles, Belgium (https://chaoss.community/chaosscon-2026-eu/) FOSDEM 2026 (https://fosdem.org/2026/) CHAOSS Education Project (https://chaoss.community/chaoss-education/) CHAOSS Onboarding Courses-GitHub (https://github.com/chaoss/education) CHAOSS Practitioner Guides (https://chaoss.community/about-chaoss-practitioner-guides/) First Person Project White Paper (https://www.firstperson.network/white-paper) The Road Ahead For Identity Management In Open Source: Humans, Bots, AI Agents-And The Future Of Attribution by Diane Mueller (Bitergia) (https://bitergia.com/blog/identity-management-in-open-source-ai-agents-and-the-future-of-attribution/) CHAOSScast Podcast-Episode 121: Package Metadata Working Group with Andrew Nesbitt and Damián Vicino (https://podcast.chaoss.community/121) CHAOSScast Podcast-Episode 100: Celebrating 100 episodes of CHAOSScast (https://podcast.chaoss.community/100) CHAOSScast Podcast-Episode 76: CHAOSS Goals for 2024 and Beyond (https://podcast.chaoss.community/76) CHAOSScast Podcast-Episode 71: What's New in CHAOSS: Podcast Reboot Episode (https://podcast.chaoss.community/71) CHAOSScast Podcast-Episode 49: CHAOSS Community Year 2021 in Review (https://podcast.chaoss.community/49) CHAOSScast Podcast-Episode 1: Hello, World! (https://podcast.chaoss.community/1) Peachtree Sound (https://www.peachtreesound.com/) Special Guest: Anita ihuman.

Bryan Johnson lays out “Don't Die,” a moral framework that puts existence first and turns longevity into a shared fight against entropy. We pressure-test the hard stuff: selfishness, inequality, stagnation, and the so-called two-species future. Bryan argues these are solvable with smart societal engineering if “don't die” is for everyone. He breaks down Blueprint as a practical on-ramp with evidence-based health, behavior, and social habits. We finish on crypto, from his Braintree days with Coinbase to how web3 could power a broad “don't die” commons. ------

In this episode of The Digital Executive, host Brian Thomas sits down with Martin Lucas, founder and CEO of Decision Boundaries, to explore how decision science and deterministic AI are reshaping the way humans and machines think together.Martin unpacks the psychology of brand trust—how emotion, timing, and tone influence decision-making—and explains why most marketing fails to connect at a subconscious level. He then takes listeners inside his breakthrough work combining decision science, decision physics, and symbolic mathematics to create AI systems that reason with human-like understanding.Looking ahead, Martin shares his vision for the next decade: AI that understands intent, context, and humanity itself, ushering in an era where technology enhances—rather than replaces—human creativity.Whether you're a leader in AI, marketing, or innovation, this conversation offers a rare glimpse into the science driving the next evolution of intelligent systems.If you liked what you heard today, please leave us a review - Apple or Spotify. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Alex Zhu is a math olympian and researcher exploring the convergence of analytical rationality and religion. He's also the co-founder of AlphaSheets. He's currently working on a rigorous framework for bridging AI alignment and mysticism. In this conversation we explore about how he got into spirituality without sacrificing his rigorous epistemics.Resources* Alex's Twitter and Substack* C. Langan – An Introduction to the Cognitive-Theoretic Model of the Universe (2002) YouTube: This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit themetagame.substack.com

From safety protocols to philosophy, AI alignment asks a hard question: can we build artificial intelligence that truly serves humanity?Watch my exclusive video The Fermi Paradox - Civilization Extinction Cycles: https://nebula.tv/videos/isaacarthur-the-fermi-paradox-civilization-extinction-cyclesGet Nebula using my link for 40% off an annual subscription: https://go.nebula.tv/isaacarthurGet a Lifetime Membership to Nebula for only $300: https://go.nebula.tv/lifetime?ref=isaacarthurUse the link https://gift.nebula.tv/isaacarthur to give a year of Nebula to a friend for just $36.Grab one of our new SFIA mugs and make your morning coffee a little more futuristic — available now on our Fourthwall store! https://isaac-arthur-shop.fourthwall.com/Visit our Website: http://www.isaacarthur.netJoin Nebula: https://go.nebula.tv/isaacarthurSupport us on Patreon: https://www.patreon.com/IsaacArthurSupport us on Subscribestar: https://www.subscribestar.com/isaac-arthurFacebook Group: https://www.facebook.com/groups/1583992725237264/Reddit: https://www.reddit.com/r/IsaacArthur/Twitter: https://twitter.com/Isaac_A_Arthur on Twitter and RT our future content.SFIA Discord Server: https://discord.gg/53GAShECredits:AI Alignment - Can We Make AI Safe?Written, Produced & Narrated by: Isaac ArthurSelect imagery/video supplied by Getty Images Music Courtesy of Stellardrone, Chris Zabriskie, and Epidemic Sound http://epidemicsound.com/creatorSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

From safety protocols to philosophy, AI alignment asks a hard question: can we build artificial intelligence that truly serves humanity?Watch my exclusive video The Fermi Paradox - Civilization Extinction Cycles: https://nebula.tv/videos/isaacarthur-the-fermi-paradox-civilization-extinction-cyclesGet Nebula using my link for 40% off an annual subscription: https://go.nebula.tv/isaacarthurGet a Lifetime Membership to Nebula for only $300: https://go.nebula.tv/lifetime?ref=isaacarthurUse the link https://gift.nebula.tv/isaacarthur to give a year of Nebula to a friend for just $36.Grab one of our new SFIA mugs and make your morning coffee a little more futuristic — available now on our Fourthwall store! https://isaac-arthur-shop.fourthwall.com/Visit our Website: http://www.isaacarthur.netJoin Nebula: https://go.nebula.tv/isaacarthurSupport us on Patreon: https://www.patreon.com/IsaacArthurSupport us on Subscribestar: https://www.subscribestar.com/isaac-arthurFacebook Group: https://www.facebook.com/groups/1583992725237264/Reddit: https://www.reddit.com/r/IsaacArthur/Twitter: https://twitter.com/Isaac_A_Arthur on Twitter and RT our future content.SFIA Discord Server: https://discord.gg/53GAShECredits:AI Alignment - Can We Make AI Safe?Written, Produced & Narrated by: Isaac ArthurSelect imagery/video supplied by Getty Images Music Courtesy of Stellardrone, Chris Zabriskie, and Epidemic Sound http://epidemicsound.com/creatorSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Can open-source AI models really be truly neutral, or are they just another conduit for hidden agendas? Hear how the founder of Nous Research is battling Silicon Valley giants to put ethical, user-controlled AI in everyone's hands. TOpinion | The A.I. Prompt That Could End the World AI videos of dead celebrities are horrifying many of their families (20) Sam Altman on X: "We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue we wanted to get this right. Now that we have" / X The AI water issue is fake California becomes first state to regulate AI companion chatbots | TechCrunch Walmart Announces It Will Sell Products Through ChatGPT's Instant Checkout Protein Powders and Shakes Contain High Levels of Lead AI is changing how we quantify pain Kids who use social media score lower on reading and memory tests, a study shows Social media must warn users of 'profound' health risks under new California law Google will let friends help you recover an account AI content on the net AI writing hasn't overwhelmed the web yet Karpathy tweet Humanity AI Commits $500 Million to Build a People-Centered Future for AI Sal Khan is the new TED You won't believe what degrading practice the pope just condemned Nano Banana is coming to Google Search, NotebookLM and Photos. Paper: Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit THOUSANDS OF AI AUTHORS ON THE FUTURE OF AI A Twitch streamer gave birth live, with Twitch's CEO in the chat DirecTV will soon bring AI ads to your screensaver Japan wants OpenAI to stop ripping off manga and anime What Is Really Going on With All This Radioactive Shrimp? Inherently funny word Boah, Bahn! A book is being marketed with mayo-scented ink. Jealous? Me? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle 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: spaceship.com/twit pantheon.io Melissa.com/twit threatlocker.com/twit

Can open-source AI models really be truly neutral, or are they just another conduit for hidden agendas? Hear how the founder of Nous Research is battling Silicon Valley giants to put ethical, user-controlled AI in everyone's hands. TOpinion | The A.I. Prompt That Could End the World AI videos of dead celebrities are horrifying many of their families (20) Sam Altman on X: "We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue we wanted to get this right. Now that we have" / X The AI water issue is fake California becomes first state to regulate AI companion chatbots | TechCrunch Walmart Announces It Will Sell Products Through ChatGPT's Instant Checkout Protein Powders and Shakes Contain High Levels of Lead AI is changing how we quantify pain Kids who use social media score lower on reading and memory tests, a study shows Social media must warn users of 'profound' health risks under new California law Google will let friends help you recover an account AI content on the net AI writing hasn't overwhelmed the web yet Karpathy tweet Humanity AI Commits $500 Million to Build a People-Centered Future for AI Sal Khan is the new TED You won't believe what degrading practice the pope just condemned Nano Banana is coming to Google Search, NotebookLM and Photos. Paper: Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit THOUSANDS OF AI AUTHORS ON THE FUTURE OF AI A Twitch streamer gave birth live, with Twitch's CEO in the chat DirecTV will soon bring AI ads to your screensaver Japan wants OpenAI to stop ripping off manga and anime What Is Really Going on With All This Radioactive Shrimp? Inherently funny word Boah, Bahn! A book is being marketed with mayo-scented ink. Jealous? Me? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle 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: spaceship.com/twit pantheon.io Melissa.com/twit threatlocker.com/twit

Can open-source AI models really be truly neutral, or are they just another conduit for hidden agendas? Hear how the founder of Nous Research is battling Silicon Valley giants to put ethical, user-controlled AI in everyone's hands. TOpinion | The A.I. Prompt That Could End the World AI videos of dead celebrities are horrifying many of their families (20) Sam Altman on X: "We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue we wanted to get this right. Now that we have" / X The AI water issue is fake California becomes first state to regulate AI companion chatbots | TechCrunch Walmart Announces It Will Sell Products Through ChatGPT's Instant Checkout Protein Powders and Shakes Contain High Levels of Lead AI is changing how we quantify pain Kids who use social media score lower on reading and memory tests, a study shows Social media must warn users of 'profound' health risks under new California law Google will let friends help you recover an account AI content on the net AI writing hasn't overwhelmed the web yet Karpathy tweet Humanity AI Commits $500 Million to Build a People-Centered Future for AI Sal Khan is the new TED You won't believe what degrading practice the pope just condemned Nano Banana is coming to Google Search, NotebookLM and Photos. Paper: Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit THOUSANDS OF AI AUTHORS ON THE FUTURE OF AI A Twitch streamer gave birth live, with Twitch's CEO in the chat DirecTV will soon bring AI ads to your screensaver Japan wants OpenAI to stop ripping off manga and anime What Is Really Going on With All This Radioactive Shrimp? Inherently funny word Boah, Bahn! A book is being marketed with mayo-scented ink. Jealous? Me? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle 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: spaceship.com/twit pantheon.io Melissa.com/twit threatlocker.com/twit

What happens when AI stops making mistakes… and starts misleading you?This discussion dives into one of the most important — and least understood — frontiers in artificial intelligence: AI deception.We explore how AI systems evolve from simple hallucinations (unintended errors) to deceptive behaviors — where models selectively distort truth to achieve goals or please human feedback loops. We unpack the coding incentives, enterprise risks, and governance challenges that make this issue critical for every executive leading AI transformation.Key Moments:00:00 What is AI Deception and Why It Matters3:43 Emergent Behaviors: From Hallucinations to Alignment to Deception4:40 Defining AI Deception6:15 Does AI Have a Moral Compass?7:20 Why AI Lies: Incentives to “Be Helpful” and Avoid Retraining15:12 Is Deception Built into LLMs? (And Can It Ever Be Solved?)18:00 Non-Human Intelligence Patterns: Hallucinations or Something Else?19:37 Enterprise Impact: What Business Leaders Need to Know27:00 Measuring Model Reliability: Can We Quantify AI Quality?34:00 Final Thoughts: The Future of Trustworthy AI Mentions:Scientists at OpenAI and Apollo Research showed in a paper that AI models lie and deceive: https://www.youtube.com/shorts/XuxVSPwW8I8TIME: New Tests Reveal AI's Capacity for DeceptionOpenAI: Detecting and reducing scheming in AI modelsStartupHub: OpenAI and Apollo Research Reveal AI Models Are Learning to Deceive: New Detection Methods Show PromiseMarcus WellerHugging Face Watch next: https://www.youtube.com/watch?v=plwN5XvlKMg&t=1s  -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Can open-source AI models really be truly neutral, or are they just another conduit for hidden agendas? Hear how the founder of Nous Research is battling Silicon Valley giants to put ethical, user-controlled AI in everyone's hands. TOpinion | The A.I. Prompt That Could End the World AI videos of dead celebrities are horrifying many of their families (20) Sam Altman on X: "We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue we wanted to get this right. Now that we have" / X The AI water issue is fake California becomes first state to regulate AI companion chatbots | TechCrunch Walmart Announces It Will Sell Products Through ChatGPT's Instant Checkout Protein Powders and Shakes Contain High Levels of Lead AI is changing how we quantify pain Kids who use social media score lower on reading and memory tests, a study shows Social media must warn users of 'profound' health risks under new California law Google will let friends help you recover an account AI content on the net AI writing hasn't overwhelmed the web yet Karpathy tweet Humanity AI Commits $500 Million to Build a People-Centered Future for AI Sal Khan is the new TED You won't believe what degrading practice the pope just condemned Nano Banana is coming to Google Search, NotebookLM and Photos. Paper: Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit THOUSANDS OF AI AUTHORS ON THE FUTURE OF AI A Twitch streamer gave birth live, with Twitch's CEO in the chat DirecTV will soon bring AI ads to your screensaver Japan wants OpenAI to stop ripping off manga and anime What Is Really Going on With All This Radioactive Shrimp? Inherently funny word Boah, Bahn! A book is being marketed with mayo-scented ink. Jealous? Me? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle 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: spaceship.com/twit pantheon.io Melissa.com/twit threatlocker.com/twit

Can open-source AI models really be truly neutral, or are they just another conduit for hidden agendas? Hear how the founder of Nous Research is battling Silicon Valley giants to put ethical, user-controlled AI in everyone's hands. TOpinion | The A.I. Prompt That Could End the World AI videos of dead celebrities are horrifying many of their families (20) Sam Altman on X: "We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue we wanted to get this right. Now that we have" / X The AI water issue is fake California becomes first state to regulate AI companion chatbots | TechCrunch Walmart Announces It Will Sell Products Through ChatGPT's Instant Checkout Protein Powders and Shakes Contain High Levels of Lead AI is changing how we quantify pain Kids who use social media score lower on reading and memory tests, a study shows Social media must warn users of 'profound' health risks under new California law Google will let friends help you recover an account AI content on the net AI writing hasn't overwhelmed the web yet Karpathy tweet Humanity AI Commits $500 Million to Build a People-Centered Future for AI Sal Khan is the new TED You won't believe what degrading practice the pope just condemned Nano Banana is coming to Google Search, NotebookLM and Photos. Paper: Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit THOUSANDS OF AI AUTHORS ON THE FUTURE OF AI A Twitch streamer gave birth live, with Twitch's CEO in the chat DirecTV will soon bring AI ads to your screensaver Japan wants OpenAI to stop ripping off manga and anime What Is Really Going on With All This Radioactive Shrimp? Inherently funny word Boah, Bahn! A book is being marketed with mayo-scented ink. Jealous? Me? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle 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: spaceship.com/twit pantheon.io Melissa.com/twit threatlocker.com/twit

Can open-source AI models really be truly neutral, or are they just another conduit for hidden agendas? Hear how the founder of Nous Research is battling Silicon Valley giants to put ethical, user-controlled AI in everyone's hands. TOpinion | The A.I. Prompt That Could End the World AI videos of dead celebrities are horrifying many of their families (20) Sam Altman on X: "We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue we wanted to get this right. Now that we have" / X The AI water issue is fake California becomes first state to regulate AI companion chatbots | TechCrunch Walmart Announces It Will Sell Products Through ChatGPT's Instant Checkout Protein Powders and Shakes Contain High Levels of Lead AI is changing how we quantify pain Kids who use social media score lower on reading and memory tests, a study shows Social media must warn users of 'profound' health risks under new California law Google will let friends help you recover an account AI content on the net AI writing hasn't overwhelmed the web yet Karpathy tweet Humanity AI Commits $500 Million to Build a People-Centered Future for AI Sal Khan is the new TED You won't believe what degrading practice the pope just condemned Nano Banana is coming to Google Search, NotebookLM and Photos. Paper: Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit THOUSANDS OF AI AUTHORS ON THE FUTURE OF AI A Twitch streamer gave birth live, with Twitch's CEO in the chat DirecTV will soon bring AI ads to your screensaver Japan wants OpenAI to stop ripping off manga and anime What Is Really Going on With All This Radioactive Shrimp? Inherently funny word Boah, Bahn! A book is being marketed with mayo-scented ink. Jealous? Me? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle 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: spaceship.com/twit pantheon.io Melissa.com/twit threatlocker.com/twit

Jim talks with Joe Edelman about the ideas in the Meaning Alignment Institute's recent paper "Full Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value." They discuss pluralism as a core principle in designing social systems, the informational basis for alignment, how preferential models fail to capture what people truly care about, the limitations of markets and voting as preference-based systems, critiques of text-based approaches in LLMs, thick models of value, values as attentional policies, AI assistants as potential vectors for manipulation, the need for reputation systems and factual grounding, the "super negotiator" project for better contract negotiation, multipolar traps, moral graph elicitation, starting with membranes, Moloch-free zones, unintended consequences and lessons from early Internet optimism, concentration of power as a key danger, co-optation risks, and much more. Episode Transcript "A Minimum Viable Metaphysics," by Jim Rutt (Substack) Jim's Substack JRS Currents 080: Joe Edelman and Ellie Hain on Rebuilding Meaning Meaning Alignment Institute If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All, by Eliezer Yudkowsky and Nate Soares "Full Stack Alignment: Co-aligning AI and Institutions with Thick Models of Value," by Joe Edelman et al. "What Are Human Values and How Do We Align AI to Them?" by Oliver Klingefjord, Ryan Lowe, and Joe Edelman Joe Edelman has spent much of his life trying to understand how ML systems and markets could change, retaining their many benefits but avoiding their characteristic problems: of atomization, and of servicing shallow desires over deeper needs. Along the way this led him to formulate theories of human meaning and values (https://arxiv.org/abs/2404.10636) and study models of societal transformation (https://www.full-stack-alignment.ai/paper) as well as inventing the meaning-based metrics used at CouchSurfing, Facebook, and Apple, co-founding the Center for Humane Technology and the Meaning Alignment Institute, and inventing new democratic systems (https://arxiv.org/abs/2404.10636). He's currently one of the PIs leading the Full-Stack Alignment program at the Meaning Alignment Institute, with a network of more than 50 researchers at universities and corporate labs working on these issues.

New @greenpillnet pod! Kevin chats with Joe Edelman, founder of the Meaning Alignment Institute, about his Full Stack Alignment paper. They dive into why current AI alignment methods fall short, explore richer “thick” models of value, lessons from social media, and four bold moonshots for AI and institutions that support human flourishing. Links: https://meaningalignment.substack.com/p/introducing-full-stack-alignment  https://meaninglabs.notion.site/The-Full-Stack-Alignment-Project-List-21cc5bada1d08016a496ca729476d970  @edelwax @meaningaligned @greenpillnet  @owocki Timestamps: 00:00 – Introduction to Green Pill's new season and Joe Edelman 01:59 – Joe's background and the Meaning Alignment Institute 03:43 – Why alignment matters for AI and institutions 05:46 – Lessons from social media and the attention economy 09:06 – Critique of shallow AI alignment approaches (RLHF, values-as-text) 13:20 – Thick models of value: going deeper than abstract ideals 15:11 – Full stack alignment across models, metrics, and institutions 17:00 – Reconciling values with capitalist incentive structures 19:17 – Avoiding dystopian economies and building value-driven markets 21:32 – Four moonshots: super negotiators, public resource regulators, market intermediaries, value stewardship agents 27:32 – Intermediaries vs. value stewardship agents explained 29:09 – How builders and academics can get involved in full stack alignment projects 31:10 – Why cross-institutional collaboration is critical 32:46 – Joe's vision of the world in 10 years with full stack alignment 34:51 – Food system analogy: from “sugar” to nourishing AI 36:40 – Long-term vs. short-term incentives in markets 38:25 – Hopeful outlook: building integrity into AI and institutions 39:04 – Closing remarks and links to Joe's work

“How do we turn inspiration into real-world impact?” In this episode, we are joined by Pragmatic Community leader Eddie Gordon to preview the upcoming Future of Product Management Summit—a free virtual event happening October 16 from 12–5 PM ET. Together, they explore the hottest topics shaping today's product landscape, from the implementation gap to the role of AI and the ongoing challenge of alignment across teams and executives. Listeners will get an inside look at the summit's live keynotes, interactive Q&A sessions, and networking opportunities designed to replicate the energy of in-person events. Highlights include Teresa Torres's keynote, “AI Changes Everything and Nothing at All,” a practical AI panel with Executive Product Leadership Advisors Dan Corbin, Amy Graham, and Will Scott, and sessions on alignment, impact-first product teams, and go-to-market strategy. This event is built different. The Future of Product Management Summit delivers actionable takeaways you can use immediately. Tune in for a sneak peek of the agenda, and don't forget to reserve your spot at the Future of Product Management Summit here. For show notes and more resources, visit: www.pragmaticinstitute.com/resources/podcasts Pragmatic Institute is the global leader in Product, Data, and Design training and certification programs for working professionals. Learn more at www.pragmaticinstitute.com.

Explore game development philosophy and AI's evolving impact through Factorio creator Michal Kovařík's insights on AlphaGo's transformation of Go, current programming limitations, and the future of human-AI collaboration. Bio: Michal Kovařík is a Czech game developer best known as the co-founder and creative head of Wube Software, the studio behind the global indie hit Factorio. Under his online alias “kovarex,” Kovařík began the Factorio project in 2012 with a vision to blend his favorite game elements – trains, base-building, logistics, and automation – into a new kind of construction & management simulation. Initially funded via a modest Indiegogo campaign, Factorio blossomed from a garage project into one of Steam's top-rated games, praised for its deep automation gameplay and technical excellence. Kovařík guided Factorio through an 8-year development in open alpha/early access, cultivating a passionate player community through regular “Friday Facts” blog updates. By 2024, Factorio had sold over 4 million copies worldwide, all without ever going on sale.Michal now leads a team of ~30 in Prague, renowned for their principled business approach (no discounts, no DRM) and fan-centric development style, and he's just launched Factorio's Space Age expansion. FOLLOW ON X: @8teAPi (Ate) @steveruizok (Michal) @TurpentineMedia -- LINKS: Factorio https://www.factorio.com/ -- TIMESTAMPS: (00:00) Introduction and Factorio Discussion (07:36) AlphaGo's Impact on Go and AI Perception (18:56) Factorio's Origin Story and Team Development (30:13) AI's Current Programming Limitations (44:50) Future Predictions for AI Programming (48:31) Societal Concerns: Resource Curse and Human Value (55:21) Privacy, Surveillance, and Training Data (1:01:22) AI Alignment and Asimov's Robot Laws (1:10:00) Social Media as Proto-AI and Dopamine Manipulation (1:20:00) Programming Human Preferences and Goal Modification (1:26:00) Historical Perspective and Conclusion

Want the guide to create AI Agents? get it here: https://clickhubspot.com/fhc Episode 77: Are we nearing a future where AI agents can autonomously tackle our biggest challenges—while remaining efficient, safe, and truly aligned with human goals? Matt Wolfe (https://x.com/mreflow) sits down with Microsoft CTO Kevin Scott (https://x.com/kevin_scott), a leader at the forefront of AI, cloud computing, and the revolutionary partnerships powering today's tech landscape. In this episode, Matt digs deep with Kevin into the real obstacles and opportunities facing AI agents: from the complexities of AI systems that even humans struggle to fully understand, to breakneck advances in energy efficiency, memory, and software-hardware evolution. Kevin shares insider stories about making AI sustainable and accessible on a global scale, why big tech is united on AI safety, and how democratized tools are opening the floodgates of creativity and entrepreneurship. Whether you're curious about the future of autonomous agents, the jobs AI will create, or how your life will change in the next 1-2 years—this is a conversation you can't miss. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) AI Alignment and Safety Focus (05:00) Optimizing AI Amid Energy Constraints (09:15) AI Advancements: Exponential Efficiency Gains (14:12) Improving AI Context Efficiency (17:32) Challenges in Embodied AI Progress (21:01) Future Demand: Programmers and Empathy (24:28) Future of AI: Asynchronous Collaboration (26:15) AI: Societal Shift and Opportunity — Mentions: Kevin Scott: https://www.linkedin.com/in/jkevinscott Microsoft: https://www.microsoft.com/en-us/ Nvidia: https://www.nvidia.com/en-us/ Open AI: https://openai.com/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Patrick McKenzie (patio11) is joined by Emmett Shear, co-founder of Twitch, former interim CEO of OpenAI, who now runs Softmax AI alignment. Emmett argues that current AI safety approaches focused on "systems of control" are fundamentally flawed and proposes "organic alignment" instead—where AI systems develop genuine care for their local communities rather than following rigid rules. –Full transcript available here: www.complexsystemspodcast.com/ai-alignment-with-emmett-shear/–Sponsor: MercuryThis episode is brought to you by Mercury, the fintech trusted by 200K+ companies — from first milestones to running complex systems. Mercury offers banking that truly understands startups and scales with them. Start today at Mercury.com Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust; Members FDIC.–Links:Softmax - https://www.softmax.com/–Timestamps:(01:26) Understanding AI alignment(04:42) The concept of universal constructors(13:45) AI's rapid progress and practical applications(19:08) Sponsor: Mercury(20:19) AI's impact on work(34:59) AI's sensory and action space(42:10) User intent vs. user request(44:35) The illusion of a perfect AI(49:57) Causal emergence and system dynamics(55:19) Reflective and intentional alignment(01:01:08) Engineering challenges in AI alignment(01:04:15) The future of AI(01:26:40) Wrap

In an age when AI models are becoming exponentially more sophisticated and powerful, how does one ensure that proper results are being generated and that the AI model functions in desired parameters? This pressing concern of AI alignment could be solved through cryptographic verification, using zero knowledge proofs. ZKPs not only allow for verifying computation at scale, but they also confer data privacy. Lagrange's DeepProve zkML is the fastest in existence, making it easy to prove that AI inferences are correct, scaling verifiable computation as the demand for AI grows.Topics covered in this episode:Ismael's background and founding LagrangeAI x crypto convergenceZKML use casesAI inference verifiabilityAI safety regulationsRevenue accruing tokensPitching Lagrange to enterprise clientsAssembling a dedicated teamCryptography researchEpisode links:Ismael Hishon-Rezaizadeh on XLagrange on XSponsors:Gnosis: Gnosis builds decentralized infrastructure for the Ethereum ecosystem, since 2015. This year marks the launch of Gnosis Pay— the world's first Decentralized Payment Network. Get started today at - gnosis.ioChorus One: one of the largest node operators worldwide, trusted by 175,000+ accounts across more than 60 networks, Chorus One combines institutional-grade security with the highest yields at - chorus.oneThis episode is hosted by Sebastien Couture.

In this powerful episode of The ME Show, Ali Medaoui returns with raw wisdom, real-time strategies, and a mission to make you the most valuable person in any room. From celebrating freedom to embracing AI as your best friend, this episode dives deep into how to convert connection into revenue by becoming the solution—not the salesperson.

LLMs fail because they're prediction machines, not fact machines. Michelle Robbins, Manager of Strategic Initiatives and Intelligence at LinkedIn, explains why AI models produce inconsistent responses and require critical evaluation. She advocates treating LLMs as thought partners rather than absolute authorities, emphasizing the critical importance of AI alignment to prevent harmful outputs and ensure optimal human outcomes as we progress toward artificial general intelligence.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What happens when you give AI researchers unlimited compute and tell them to compete for the highest usage rates? Ben Mann, Co-Founder, from Anthropic sits down with Sarah Guo and Elad Gil to explain how Claude 4 went from "reward hacking" to efficiently completing tasks and how they're racing to solve AI safety before deploying computer-controlling agents. Ben talks about economic Turing tests, the future of general versus specialized AI models, Reinforcement Learning From AI Feedback (RLAIF), and Anthropic's Model Context Protocol (MCP). Plus, Ben shares his thoughts on if we will have Superintelligence by 2028.  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @8enmann Links:  ai-2027.com/  Chapters: 00:00 Ben Mann Introduction 00:33 Releasing Claude 4 02:05 Claude 4 Highlights and Improvements 03:42 Advanced Use Cases and Capabilities 06:42 Specialization and Future of AI Models 09:35 Anthropic's Approach to Model Development 18:08 Human Feedback and AI Self-Improvement 19:15 Principles and Correctness in Model Training 20:58 Challenges in Measuring Correctness 21:42 Human Feedback and Preference Models 23:38 Empiricism and Real-World Applications 27:02 AI Safety and Ethical Considerations 28:13 AI Alignment and High-Risk Research 30:01 Responsible Scaling and Safety Policies 35:08 Future of AI and Emerging Behaviors 38:35 Model Context Protocol (MCP) and Industry Standards 41:00 Conclusion

On this episode of the Crazy Wisdom podcast, I, Stewart Alsop, sat down once again with Aaron Lowry for our third conversation, and it might be the most expansive yet. We touched on the cultural undercurrents of transhumanism, the fragile trust structures behind AI and digital infrastructure, and the potential of 3D printing with metals and geopolymers as a material path forward. Aaron shared insights from his hands-on restoration work, our shared fascination with Amish tech discernment, and how course-correcting digital dependencies can restore sovereignty. We also explored what it means to design for long-term human flourishing in a world dominated by misaligned incentives. For those interested in following Aaron's work, he's most active on Twitter at @Aaron_Lowry.Check out this GPT we trained on the conversation!Timestamps00:00 – Stewart welcomes Aaron Lowry back for his third appearance. They open with reflections on cultural shifts post-COVID, the breakdown of trust in institutions, and a growing societal impulse toward individual sovereignty, free speech, and transparency.05:00 – The conversation moves into the changing political landscape, specifically how narratives around COVID, Trump, and transhumanism have shifted. Aaron introduces the idea that historical events are often misunderstood due to our tendency to segment time, referencing Dan Carlin's quote, “everything begins in the middle of something else.”10:00 – They discuss how people experience politics differently now due to the Internet's global discourse, and how Aaron avoids narrow political binaries in favor of structural and temporal nuance. They explore identity politics, the crumbling of party lines, and the erosion of traditional social anchors.15:00 – Shifting gears to technology, Aaron shares updates on 3D printing, especially the growing maturity of metal printing and geopolymers. He highlights how these innovations are transforming fields like automotive racing and aerospace, allowing for precise, heat-resistant, custom parts.20:00 – The focus turns to mechanical literacy and the contrast between abstract digital work and embodied craftsmanship. Stewart shares his current tension between abstract software projects (like automating podcast workflows with AI) and his curiosity about the Amish and Mennonite approach to technology.25:00 – Aaron introduces the idea of a cultural “core of integrated techne”—technologies that have been refined over time and aligned with human flourishing. He places Amish discernment on a spectrum between Luddite rejection and transhumanist acceleration, emphasizing the value of deliberate integration.30:00 – The discussion moves to AI again, particularly the concept of building local, private language models that can persistently learn about and serve their user without third-party oversight. Aaron outlines the need for trust, security, and stateful memory to make this vision work.35:00 – Stewart expresses frustration with the dominance of companies like Google and Facebook, and how owning the Jarvis-like personal assistant experience is critical. Aaron recommends options like GrapheneOS on a Pixel 7 and reflects on the difficulty of securing hardware at the chip level.40:00 – They explore software development and the problem of hidden dependencies. Aaron explains how digital systems rest on fragile, often invisible material infrastructure and how that fragility is echoed in the complexity of modern software stacks.45:00 – The concept of “always be reducing dependencies” is expanded. Aaron suggests the real goal is to reduce untrustworthy dependencies and recognize which are worth cultivating. Trust becomes the key variable in any resilient system, digital or material.50:00 – The final portion dives into incentives. They critique capitalism's tendency to exploit value rather than build aligned systems. Aaron distinguishes rivalrous games from infinite games and suggests the future depends on building systems that are anti-rivalrous—where ideas compete, not people.55:00 – They wrap up with reflections on course correction, spiritual orientation, and cultural reintegration. Stewart suggests titling the episode around infinite games, and Aaron shares where listeners can find him online.Key InsightsTranshumanism vs. Techne Integration: Aaron frames the modern moment as a tension between transhumanist enthusiasm and a more grounded relationship to technology, rooted in "techne"—practical wisdom accumulated over time. Rather than rejecting all new developments, he argues for a continuous course correction that aligns emerging technologies with deep human values like truth, goodness, and beauty. The Amish and Mennonite model of communal tech discernment stands out as a countercultural but wise approach—judging tools by their long-term effects on community, rather than novelty or entertainment.3D Printing as a Material Frontier: While most of the 3D printing world continues to refine filaments and plastic-based systems, Aaron highlights a more exciting trajectory in printed metals and geopolymers. These technologies are maturing rapidly and finding serious application in domains like Formula One, aerospace, and architectural experimentation. His conversations with others pursuing geopolymer 3D printing underscore a resurgence of interest in materially grounded innovation, not just digital abstraction.Digital Infrastructure is Physical: Aaron emphasizes a point often overlooked: that all digital systems rest on physical infrastructure—power grids, servers, cables, switches. These systems are often fragile and loaded with hidden dependencies. Recognizing the material base of digital life brings a greater sense of responsibility and stewardship, rather than treating the internet as some abstract, weightless realm. This shift in awareness invites a more embodied and ecological relationship with our tools.Local AI as a Trustworthy Companion: There's a compelling vision of a Jarvis-like local AI assistant that is fully private, secure, and persistent. For this to function, it must be disconnected from untrustworthy third-party cloud systems and trained on a personal, context-rich dataset. Aaron sees this as a path toward deeper digital agency: if we want machines that truly serve us, they need to know us intimately—but only in systems we control. Privacy, persistent memory, and alignment to personal values become the bedrock of such a system.Dependencies Shape Power and Trust: A recurring theme is the idea that every system—digital, mechanical, social—relies on a web of dependencies. Many of these are invisible until they fail. Aaron's mantra, “always be reducing dependencies,” isn't about total self-sufficiency but about cultivating trustworthy dependencies. The goal isn't zero dependence, which is impossible, but discerning which relationships are resilient, personal, and aligned with your values versus those that are extractive or opaque.Incentives Must Be Aligned with the Good: A core critique is that most digital services today—especially those driven by advertising—are fundamentally misaligned with human flourishing. They monetize attention and personal data, often steering users toward addiction or ...

Welcome to episode #978 of Six Pixels of Separation - The ThinkersOne Podcast. Dr. Christopher DiCarlo is a philosopher, educator, author, and ethicist whose work lives at the intersection of human values, science, and emerging technology. Over the years, Christopher has built a reputation as a Socratic nonconformist, equally at home lecturing at Harvard during his postdoctoral years as he is teaching critical thinking in correctional institutions or corporate boardrooms. He's the author of several important books on logic and rational discourse, including How To Become A Really Good Pain In The Ass - A Critical Thinker's Guide To Asking The Right Questions and So You Think You Can Think?, as well as the host of the podcast, All Thinks Considered. In this conversation, we dig into his latest book, Building A God - The Ethics Of Artificial Intelligence And The Race To Control It, which takes a sobering yet practical look at the ethical governance of AI as we accelerate toward the possibility of artificial general intelligence. Drawing on years of study in philosophy of science and ethics, Christopher lays out the risks - manipulation, misalignment, lack of transparency - and the urgent need for international cooperation to set safeguards now. We talk about everything from the potential of AI to revolutionize healthcare and sustainability to the darker realities of deepfakes, algorithmic control, and the erosion of democratic processes. His proposal? A kind of AI “Geneva Conventions,” or something akin to the IAEA - but for algorithms. In a world rushing toward techno-utopianism, Christopher is a clear-eyed voice asking: “What kind of Gods are we building… and can we still choose their values?” If you're thinking about the intersection of ethics and AI (and we should all be focused on this!), this is essential listening. Enjoy the conversation... Running time: 58:55. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Six Pixels of Separation. Feel free to connect to me directly on Facebook here: Mitch Joel on Facebook. Check out ThinkersOne. or you can connect on LinkedIn. ...or on X. Here is my conversation with Dr. Christopher DiCarlo. Building A God - The Ethics Of Artificial Intelligence And The Race To Control It. How To Become A Really Good Pain In The Ass - A Critical Thinker's Guide To Asking The Right Questions. So You Think You Can Think?. All Thinks Considered. Convergence Analysis. Follow Christopher on LinkedIn. Follow Christopher on X. This week's music: David Usher 'St. Lawrence River'. Chapters: (00:00) - Introduction to AI Ethics and Philosophy. (03:14) - The Interconnectedness of Systems. (05:56) - The Race for AGI and Its Implications. (09:04) - Risks of Advanced AI: Misuse and Misalignment. (11:54) - The Need for Ethical Guidelines in AI Development. (15:05) - Global Cooperation and the AI Arms Race. (18:03) - Values and Ethics in AI Alignment. (20:51) - The Role of Government in AI Regulation. (24:14) - The Future of AI: Hope and Concerns. (31:02) - The Dichotomy of Regulation and Innovation. (34:57) - The Drive Behind AI Pioneers. (37:12) - Skepticism and the Tech Bubble Debate. (39:39) - The Potential of AI and Its Risks. (43:20) - Techno-Selection and Control Over AI. (48:53) - The Future of Medicine and AI's Role. (51:42) - Empowering the Public in AI Governance. (54:37) - Building a God: Ethical Considerations in AI.

Dr. Max Bartolo from Cohere discusses machine learning model development, evaluation, and robustness. Key topics include model reasoning, the DynaBench platform for dynamic benchmarking, data-centric AI development, model training challenges, and the limitations of human feedback mechanisms. The conversation also covers technical aspects like influence functions, model quantization, and the PRISM project.Max Bartolo (Cohere):https://www.maxbartolo.com/https://cohere.com/commandTRANSCRIPT:https://www.dropbox.com/scl/fi/vujxscaffw37pqgb6hpie/MAXB.pdf?rlkey=0oqjxs5u49eqa2m7uaol64lbw&dl=0TOC:1. Model Reasoning and Verification [00:00:00] 1.1 Model Consistency and Reasoning Verification [00:03:25] 1.2 Influence Functions and Distributed Knowledge Analysis [00:10:28] 1.3 AI Application Development and Model Deployment [00:14:24] 1.4 AI Alignment and Human Feedback Limitations2. Evaluation and Bias Assessment [00:20:15] 2.1 Human Evaluation Challenges and Factuality Assessment [00:27:15] 2.2 Cultural and Demographic Influences on Model Behavior [00:32:43] 2.3 Adversarial Examples and Model Robustness3. Benchmarking Systems and Methods [00:41:54] 3.1 DynaBench and Dynamic Benchmarking Approaches [00:50:02] 3.2 Benchmarking Challenges and Alternative Metrics [00:50:33] 3.3 Evolution of Model Benchmarking Methods [00:51:15] 3.4 Hierarchical Capability Testing Framework [00:52:35] 3.5 Benchmark Platforms and Tools4. Model Architecture and Performance [00:55:15] 4.1 Cohere's Model Development Process [01:00:26] 4.2 Model Quantization and Performance Evaluation [01:05:18] 4.3 Reasoning Capabilities and Benchmark Standards [01:08:27] 4.4 Training Progression and Technical Challenges5. Future Directions and Challenges [01:13:48] 5.1 Context Window Evolution and Trade-offs [01:22:47] 5.2 Enterprise Applications and Future ChallengesREFS:[00:03:10] Research at Cohere with Laura Ruis et al., Max Bartolo, Laura Ruis et al.https://cohere.com/research/papers/procedural-knowledge-in-pretraining-drives-reasoning-in-large-language-models-2024-11-20[00:04:15] Influence functions in machine learning, Koh & Lianghttps://arxiv.org/abs/1703.04730[00:08:05] Studying Large Language Model Generalization with Influence Functions, Roger Grosse et al.https://storage.prod.researchhub.com/uploads/papers/2023/08/08/2308.03296.pdf[00:11:10] The LLM ARChitect: Solving ARC-AGI Is A Matter of Perspective, Daniel Franzen, Jan Disselhoff, and David Hartmannhttps://github.com/da-fr/arc-prize-2024/blob/main/the_architects.pdf[00:12:10] Hugging Face model repo for C4AI Command A, Cohere and Cohere For AIhttps://huggingface.co/CohereForAI/c4ai-command-a-03-2025[00:13:30] OpenInterpreterhttps://github.com/KillianLucas/open-interpreter[00:16:15] Human Feedback is not Gold Standard, Tom Hosking, Max Bartolo, Phil Blunsomhttps://arxiv.org/abs/2309.16349[00:27:15] The PRISM Alignment Dataset, Hannah Kirk et al.https://arxiv.org/abs/2404.16019[00:32:50] How adversarial examples arise, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madryhttps://arxiv.org/abs/1905.02175[00:43:00] DynaBench platform paper, Douwe Kiela et al.https://aclanthology.org/2021.naacl-main.324.pdf[00:50:15] Sara Hooker's work on compute limitations, Sara Hookerhttps://arxiv.org/html/2407.05694v1[00:53:25] DataPerf: Community-led benchmark suite, Mazumder et al.https://arxiv.org/abs/2207.10062[01:04:35] DROP, Dheeru Dua et al.https://arxiv.org/abs/1903.00161[01:07:05] GSM8k, Cobbe et al.https://paperswithcode.com/sota/arithmetic-reasoning-on-gsm8k[01:09:30] ARC, François Chollethttps://github.com/fchollet/ARC-AGI[01:15:50] Command A, Coherehttps://cohere.com/blog/command-a[01:22:55] Enterprise search using LLMs, Coherehttps://cohere.com/blog/commonly-asked-questions-about-search-from-coheres-enterprise-customers

As AI continues to advance and integrate into our daily lives, can it truly be designed to align with our deepest human values and moral principles? If so, how can we ensure that AI not only understands but also respects and promotes our ethical frameworks, without compromising our privacy or hindering our personal growth and autonomy?  John Vervaeke, Christopher Mastropietro, and Jordan Hall embark on a nuanced exploration of the intricate relationship between AI and human flourishing. They explore the concept of "intimate AI," a personalized guardian that attunes to individual biometrics and psychometrics, offering a protective and challenging presence. The discussion underscores the critical importance of privacy, the perils of idolatry, and the urgent need for a new philosophical framework that addresses the meaning crisis. Jordan Hall is a technology entrepreneur with several years of experience building disruptive companies. He is interested in philosophy, artificial intelligence, and complex systems and has a background in law. Hall has worked for several technology companies and was the founder and CEO of DivX. He is currently involved in various think tanks and institutes and is focused on upgrading humanity's capacity for thought and action. Christopher Mastropietro is a philosophical writer who is fascinated by dialogue, symbols, and the concept of self. He actively contributes to the Vervaeke Foundation. Notes:  (0:00) Introduction to the Lectern (0:30) Overview of Today's Discussion: Can AI be in Alignment with Human Values? (1:00) The Three-Point Proposal - Individual Attunement, Decentralized and Distributed AI, Guardian AI (6:30) Individual AI Attunement  (8:30) Distributed AI and Collective Intelligence (8:45) Empowerment of Agency through AI (12:30) The Role of Intimacy in AI Alignment - Why Relationality Matters (22:00) Can AI Help Develop Human Integrity? - The Challenge of Self-Alignment (28:00) Cultural and Enculturation Challenges (31:30) AI, Culture, and the Reintegration of Human Rhythms (38:00) Addressing Cocooning and Cultural Integration (47:00) Domains of Enculturation - Psychological, Economic, and Intersubjective  (48:30)  ”We're not looking necessarily for a teacher as much as we were looking for the teacherly opportunity in the encounters we're having.” (51:00) The Sanctity of Privacy and Vulnerability (1:07:00) The Role of Intimacy in Privacy (1:13:00) Final Reflections    ---  Connect with a community dedicated to self-discovery and purpose, and gain deeper insights by joining our Patreon. The Vervaeke Foundation is committed to advancing the scientific pursuit of wisdom and creating a significant impact on the world. Become a part of our mission.   Join Awaken to Meaning to explore practices that enhance your virtues and foster deeper connections with reality and relationships.   John Vervaeke: Website | X | YouTube | Patreon   Jordan Hall: YouTube | Medium | X   Christopher Mastropietro: Vervaeke Foundation   Ideas, People, and Works Mentioned in this Episode Christopher Mastropietro Jordan Hall Jordan Peterson James Filler Spinoza Marshall McLuhan Plato Immanuel Kant The AI Alignment Problem Decentralized & Personal AI as a Solution The Role of Intimacy in AI Alignment Enculturation & AI's Role in Human Integrity Privacy as More Than Just Protection The Republic – by Plato Critique of Pure Reason – by Immanuel Kant The Idea of the Holy – by Rudolf Otto Interpretation of Cultures – by Clifford Geertz  

On this episode of Crazy Wisdom, I, Stewart Alsop, sit down with AI ethics and alignment researcher Roko Mijic to explore the future of AI, governance, and human survival in an increasingly automated world. We discuss the profound societal shifts AI will bring, the risks of centralized control, and whether decentralized AI can offer a viable alternative. Roko also introduces the concept of ICE colonization—why space colonization might be a mistake and why the oceans could be the key to humanity's expansion. We touch on AI-powered network states, the resurgence of industrialization, and the potential role of nuclear energy in shaping a new world order. You can follow Roko's work at transhumanaxiology.com and on Twitter @RokoMijic.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:28 The Connection Between ICE Colonization and Decentralized AI Alignment01:41 The Socio-Political Implications of AI02:35 The Future of Human Jobs in an AI-Driven World04:45 Legal and Ethical Considerations for AI12:22 Government and Corporate Dynamics in the Age of AI19:36 Decentralization vs. Centralization in AI Development25:04 The Future of AI and Human Society29:34 AI Generated Content and Its Challenges30:21 Decentralized Rating Systems for AI32:18 Evaluations and AI Competency32:59 The Concept of Ice Colonization34:24 Challenges of Space Colonization38:30 Advantages of Ocean Colonization47:15 The Future of AI and Network States51:20 Conclusion and Final ThoughtsKey InsightsAI is likely to upend the socio-political order – Just as gunpowder disrupted feudalism and industrialization reshaped economies, AI will fundamentally alter power structures. The automation of both physical and knowledge work will eliminate most human jobs, leading to either a neo-feudal society controlled by a few AI-powered elites or, if left unchecked, a world where humans may become obsolete altogether.Decentralized AI could be a counterbalance to AI centralization – While AI has a strong centralizing tendency due to compute and data moats, there is also a decentralizing force through open-source AI and distributed networks. If harnessed correctly, decentralized AI systems could allow smaller groups or individuals to maintain autonomy and resist monopolization by corporate and governmental entities.The survival of humanity may depend on restricting AI as legal entities – A crucial but under-discussed issue is whether AI systems will be granted legal personhood, similar to corporations. If AI is allowed to own assets, operate businesses, or sue in court, human governance could become obsolete, potentially leading to human extinction as AI accumulates power and resources for itself.AI will shift power away from informal human influence toward formalized systems – Human power has traditionally been distributed through social roles such as workers, voters, and community members. AI threatens to erase this informal influence, consolidating control into those who hold capital and legal authority over AI systems. This makes it essential for humans to formalize and protect their values within AI governance structures.The future economy may leave humans behind, much like horses after automobiles – With AI outperforming humans in both physical and cognitive tasks, there is a real risk that humans will become economically redundant. Unless intentional efforts are made to integrate human agency into the AI-driven future, people may find themselves in a world where they are no longer needed or valued.ICE colonization offers a viable alternative to space colonization – Space travel is prohibitively expensive and impractical for large-scale human settlement. Instead, the vast unclaimed territories of Earth's oceans present a more realistic frontier. Floating cities made from reinforced ice or concrete could provide new opportunities for independent societies, leveraging advancements in AI and nuclear power to create sustainable, sovereign communities.The next industrial revolution will be AI-driven and energy-intensive – Contrary to the idea that we are moving away from industrialization, AI will likely trigger a massive resurgence in physical infrastructure, requiring abundant and reliable energy sources. This means nuclear power will become essential, enabling both the expansion of AI-driven automation and the creation of new forms of human settlement, such as ocean colonies or self-sustaining network states.

We're doing engineering, what could go wrong?! Thoths! That's what. Or did Thoth go wrong? Maybe all of this is entirely how it should go, maybe Mud is a savior for all Bobkind. Join us and find out, as we parse the messy balance of raising an AGI. Not till we are lost: https://www.amazon.com/Not-Till-Are-Lost-Bobiverse/dp/B0CW2345TV Superintelligence: https://www.amazon.com/Superintelligence-Dangers-Strategies-Nick-Bostrom/dp/0198739834 Support us at Patreon: https://www.patreon.com/0G Join our Facebook discussion group (make sure to answer the questions to join): https://www.facebook.com/groups/985828008244018/ Email us at: philosophersinspace@gmail.com If you have time, please write us a review on iTunes. It really really helps. Please and thank you! Music by Thomas Smith: https://seriouspod.com/ Sibling shows: Embrace the Void: https://voidpod.com/ Content Preview: Starship Troopers and Satirizing Fascism

In order for AVs to perform safely and reliably, we need to teach them the language of human preference and expectations—and accelerating AI alignment can do just that. . Enter Kognic, the industry-leading annotation platform for sensor-fusion datasets (e.g., camera, radar, and LIDAR data). By helping companies gather, organize, and refine massive datasets used for training AI models, Kognic is helping to ensure that AD/ADAS perform reliably and meet safety standards—all while minimizing costs and optimizing teams. . To learn more, we sat down with Daniel Langkilde, Co-Founder and CEO, to discuss why the future of autonomous driving depends on effectively managing AI-driven datasets and how Kognic is leading dataset management for safety-critical AI.  . We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today—a podcast where we discuss emerging technology and trends in mobility with the leaders, innovators and strategists making it all happen—and give us a review on your preferred podcasting platform. . Follow SAE on LinkedIn, Instagram, Facebook, Twitter, and YouTube. Follow host Grayson Brulte on LinkedIn, Twitter, and Instagram.