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27. Zuckerberg's Open Source Redemption Tour
59:10Jeff Jarvis and Jason Howell talk through a very consequential week in AI news, beginning with the release of the first open-source frontier AI model, the 305 billion parameter version of Llama 3.1! Also, GPT-4o attempts to plug the "ignore all previous instructions" hole, OpenAI is giving it back to the New York times, and so much more!🔔 Are you a fan of AI Inside? PLEASE fill out the customer survey: http://aiinside.show/survey🔔 Please support our work on Patreon: http://www.patreon.com/aiinsideshowNEWSMeta releases the biggest and best open-source AI model yetZuck: Open Source AI Is the Path ForwardMeta just took the AI fight to OpenAI in a big way — here's how Llama 3.1 beats ChatGPTOpenAI debuts mini version of its most powerful model yetOpenAI’s latest model will block the ‘ignore all previous instructions’ loophole“Ignore all previous instructions”OpenAI asks New York Times to disclose reporters’ notes in ‘vindictive’ legal moveJeff Jarvis post on the story OpenAI/NYT storyA Kamala Harris Presidency Could Mean More of the Same on A.I. RegulationThe Data That Powers A.I. Is Disappearing FastStudy reveals rapid increase in web domains blocking AI models from training dataAltman experiment: The results of the biggest study on guaranteed income programs are finally inAvailable now: Stems 🥳 Pro & Premier users can now separate the vocals and instrumentals from songs, which will give you more control over how to use Suno.
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26. OpenAI's 'Strawberry' Agent
59:47Jason Howell and Jeff Jarvis dive into OpenAI's "Strawberry" project for autonomous web research, discuss Google's selective indexing practices, explore Disney's partnership with AudioShake to deconstruct its music catalog using AI, and more!🔔 Please fill out the audience survey and help us grow the show: http://www.aiinside.show/survey🔔 Please support our work on Patreon: http://www.patreon.com/aiinsideshowNEWSExclusive: OpenAI working on new reasoning technology under code name ‘Strawberry’With an OpenAI leak, the race for "agentic AI" is onAn update to Reuters’ article detailing OpenAI’s ‘Strawberry’ revealed that an internally tested model scored over 90% on a benchmark of ‘championship math problems’OpenAI's AGI progress chartOpenAI teams with Arianna Huffington to create AI-powered ‘health coach’In Constant Battle With Insurers, Doctors Reach for a Cudgel: A.I.The Washington Post debuts AI chatbotMicrosoft, Apple Drop OpenAI Board Plans as Scrutiny GrowsPerplexity planning revenue sharing program with web publishers next monthAs the web is filled with AI junk, Google switches to selective indexingMashable, PC Mag, and Lifehacker win unprecedented AI protections in new union contractGoogle tests out Gemini AI-created video presentationsDisney Music Group Teams With AudioShake to Separate Stems of Classic Songs Using AI
25. Tracking Local Government with LocalLens
47:08Jason Howell talks with Matt Post, co-creator of LocalLens, an AI-powered platform revolutionizing access to local government information by summarizing and analyzing meeting data across municipalities.🔔 Please fill out the audience survey and help us grow the show: http://www.aiinside.show/survey🔔 Please support our work on Patreon: http://www.patreon.com/aiinsideshowINTERVIEW: Matt Post, thelocallens.orgOverview of LocalLens as an AI-powered database of local government meeting summariesDiscussion of the importance of local government transparency and participationExplanation of how LocalLens collects and analyzes data from various local government meetingsChallenges of scaling LocalLens to cover more municipalities across the United StatesHow LocalLens has helped uncover noteworthy local government actionsAddressing concerns about AI accuracy and potential errors in summariesLocalLens' approach to correcting inaccuracies and linking to original sourcesPotential future applications of AI in government transparency, including multimodal AIPlans for expanding LocalLens and seeking partnerships or funding (contact Matt Post!)
24. The TESCREAL FAQ (with Émile P. Torres)
01:15:33This week hosts Jason Howell and Jeff Jarvis welcome Dr. Émile P. Torres, philosopher and researcher who coined the term TESCREAL to describe the complicated ideologies driving the push toward AGI, as well as explore recent news in AI disclosure and consumer tech integration.🔔 Please support our work on Patreon: http://www.patreon.com/aiinsideshowINTERVIEW: Dr. Émile P. TorresExplanation of the TESCREAL acronym and its component ideologiesOverview of artificial general intelligence (AGI) and its relation to the TESCREAL bundleDiscussion of the differences between AI "doomers" and "accelerationists"Exploration of the connection between TESCREAL ideologies and eugenicsAnalysis of recent news related to TESCREAL and AI developmentNEWS:YouTube now lets you request removal of AI-generated content that simulates your face or voiceGoogle to require disclosures for digitally altered content in election adsMeta changes its label from ‘Made with AI’ to ‘AI info’ to indicate use of AI in photosApple’s Devices Are Lasting Longer, Making AI Strategy Even More CriticalExclusive: This is Google AI, and it's coming to the Pixel 9AI does gymnasticsThe deluge of bonkers AI art is literally surreal
23. Democratizing AI Creation with MindStudio
52:15Jason Howell and Jeff Jarvis talk with the creators of MindStudio.ai, a no-code AI development platform where enterprises and individuals can build custom AI solutions tailored to their needs.Please support this podcast on Patreon! http://www.patreon.com/aiinsideshowINTERVIEW TOPICS- Introducing guests Dmitry Shapiro (CEO) and Sean Thielen (CTO) of MindStudio, their backgrounds and how they met- The pivotal moment of ChatGPT's release and their vision for MindStudio as a model-agnostic, low-code/no-code platform for building AI applications- Overview of MindStudio's features: creating multi-step AI workflows, comparing models, calling APIs, uploading data, publishing apps for human or programmatic use- MindStudio's business model, pricing tiers, and monetization opportunities by selling created AI applications- Examples of how enterprises use MindStudio for automation (resume screening, sales, customer support), building custom AI assistants, and replacing old software with tailored AI applications- Addressing individual users, artists, and creators using MindStudio for creative projects, productivity, and efficiency- Handling model updates, switching between models, and MindStudio's model-agnostic approach- The value of empowering non-technical users to build AI solutions close to their work, avoiding one-size-fits-all tools
22. Why AI Literacy in Newsrooms Matters (with Nikita Roy)
52:33AI continues to shake up how news is created and consumed. Guest Nikita Roy, host of the Newsroom Robots podcast, talks with Jason Howell and Jeff Jarvis about the opportunities and challenges facing media companies.Please support this podcast on Patreon! http://www.patreon.com/aiinsideshowINTERVIEW TOPICS- Welcoming guest Nikita Roy, host of Newsroom Robots podcast- Norway's media companies like Schibsted and iTromsø leading in AI adoption for journalism- Lack of AI literacy and experimentation in North American newsrooms compared to Europe- Concerns around using news content to train AI models (copyright, compensation)- Potential for new interactive AI-powered news experiences beyond traditional articles- Examples of startups/tools for data journalism, video creation, meeting transcription etc.- Need for better data infrastructure and talent to build advanced AI systems in newsrooms- Importance of AI literacy training for all newsroom roles, not just technical teams- Collaboration vs litigation approach - contrasting Schibsted making its own LLM to NY Times lawsuit
21. The Future of Voice Interaction (With Justin Uberti)
49:02Justin Uberti, creator of WebRTC and now Founder of Fixie.ai, shares insights into the development of AI.town, a platform for engaging with AI personalities through voice, and the potential impact of conversational AI on various industries.Please support this podcast on Patreon! http://www.patreon.com/aiinsideshowINTERVIEW TOPICS- Introduction to Justin's background (WebRTC, Hangouts Video, Duo, Stadia)- The shift towards conversational AI and voice interactions- Fixie.ai and AI.town - enabling voice conversations with AI characters- Transitioning from text-based to voice-based AI interactions, potential use cases- Creating AI characters, enabling role-play conversations- Ethical considerations and voice cloning technology- The nature of human conversation (filler words, turn-taking protocols)- Incorporating human conversational quirks into AI speech- V1 vs V2 voice technology (speech recognition - text - speech vs. direct speech-to-speech)- Open-source speech AI model Ultravox.ai, leaderboard for fastest AI models (thefastest.ai)