AI Inside

This episode is sponsored by Your360 AI. Get 10% off through January 2026 at https://Your360.ai with code: INSIDE. On this week’s AI Inside, Jason Howell takes CES 2026 as a test case for what happens when AI is treated (slightly) more like quiet infrastructure than flashy headline, as he walks through Samsung’s AI announcements, TCL’s Copilot powered Note A1 NXTPAPER tablet, Lumus' waveguide smartglasses display technology, and a wide ranging Moises interview that explores how AI music tools are reshaping practice, performance, and the ethics of training data for millions of creators.Guests include David Goldman, VP Marketing at Lumus and Ryan Merchant, head of global communications at Moises. Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode is sponsored by Your360 AI. Get 10% off through January 2026 at Your360.ai with code: INSIDE. Jason Howell and Jeff Jarvis unpack AI consolidation as Nvidia licenses Groq's fast inference chips and Meta buys Manus for $2 billion. Growing anti-AI sentiment over jobs, mental health, and politics emerges alongside OpenAI's high-stakes preparedness role. Finally, Jason and Jeff reflect on 2025's jagged progress and 2026's agent and surveillance shifts. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00 - Start 3:27 - Nvidia, joining Big Tech deal spree, to license Groq technology, hire executives 4:50 - Explaining the Groq deal 15:11 - Meta just bought Manus, an AI startup everyone has been talking about 16:50 - 3 reasons buying Manus could give Meta a much-needed AI boost 27:41 - An Anti-A.I. Movement Is Coming. Which Party Will Lead It? Americans Hate AI. Which Party Will Benefit? 29:46 - Bernie Sanders criticizes AI as ‘the most consequential technology in humanity’ 45:11 - ‘This will be a stressful job’: Sam Altman offers $555k salary to fill most daunting role in AI 47:15 - * Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items 51:27 - * What Human-Horse Interactions may Teach us About Effective HumanAI Interactions 52:27 - * FakeParts: a New Family of AI-Generated DeepFakes 55:45 - Karpathy's year in review 58:37 - https://hbr.org/2025/12/the-hbr-charts-that-help-explain-2025 1:04:29 - Jason: 1. Love/Hate and Confusion (people don't know how they really feel about AI)2. General agents show potential but need a LOT of work3. AI for companionship 1:05:39 - Jason:1. How productive ARE we really?2. AI Shopping moves beyond the demo3. A budding surveillance problem Learn more about your ad choices. Visit megaphone.fm/adchoices

Jason Howell recommends the Smart Talks with IBM podcast where business leaders, technologists and creatives explore how AI and other innovations are transforming industries. This episode is sponsored by Smart Talks with IBM. Check it out here: https://apple.co/43yY2xd.

Jason Howell recommends the Smart Talks with IBM podcast where business leaders, technologists and creatives explore how AI and other innovations are transforming industries. This episode is sponsored by Smart Talks with IBM. Check it out here: https://apple.co/43yY2xd.

This episode is sponsored by Your360 AI. Get 10% off through January 2026 at https://Your360.ai with code: INSIDE. Ben Goertzel, founder and CEO of SingularityNET, joins us to argue for an open path to AGI. We unpack what “open source” should include beyond code, how access to training data, pipelines, and compute shapes who can actually participate, and why “open weights” can still fall short. We also ask who needs convincing, what incentives could move the market, and how decentralized infrastructure fits into his vision for building advanced AI outside a handful of mega labs. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00 - Start 2:13 - How the definition of AGI has shifted over time, and why the term has become distorted 7:58 - The “thousand narrow AIs” future, and who builds the next specialized system 12:40 - Revisiting Goertzel’s past AGI timeline predictions, what changed by late 2025, and is 2029 still feasible for AGI? 18:42 - Whether today’s AI investment is flowing to the right bets (LLMs vs world models and beyond) 25:43 - Why Goertzel argues LLMs cannot reach AGI, and what evidence could change his mind 31:44 - What it would take to build a truly open-source path to AGI 37:18 - Open weights vs real openness: Goertzel’s take on what’s missing from current releases 43:56 - Who needs to be convinced for open AI to succeed, and how that persuasion happens 50:20 - Advice for college students preparing for an AI-shaped career landscape Learn more about your ad choices. Visit megaphone.fm/adchoices