Podcasts about ai models

With Apple and Nvidia unleashing hardware that makes powerful local AI a reality, this episode unpacks the tech arms race changing how we run models at home and in business. Are we witnessing the end of the GPU monopoly and the start of real AI independence? (538) Qwen on X: "⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight! The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens. 125B parameters + 51B N-gram https://t.co/SScnmzWS7O" / X Thomson Reuters built its own AI model on Chinese open-source tech to slash AI costs Now introducing Gemini Enterprise for Legal Meta reaches $16.68 billion settlement over social media harms to children Twitch and Amazon hit with lawsuit for training AI with streamers' content Three Takeaways From Bill Gates's 5,784-Word Warning on AI: 'There Is No Plan' (214) Breaking911 on X: "WATCH: A humanoid robot training for the "Robot Olympics" in Beijing runs too fast, fails to stop, slams into a safety cushion, and breaks at the waist https://t.co/WEHdYCiPlO" / X Nvidia Is Spending $6 Billion to Build a Powerful U.S. Alternative to Chinese AI A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I. Inside Musk's First Address to Cursor: Grok Is Falling Behind Introducing Butter Box | Butter | Life without internet made smoother. Silicon Valley's Newest Status Symbol Is a Super-Rare Sam Altman Swiss Watch Hosts: Leo Laporte and Jeff Jarvis Co-Host: Christina Warren 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 audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit scribe.how/machines framer.com/machines

With Apple and Nvidia unleashing hardware that makes powerful local AI a reality, this episode unpacks the tech arms race changing how we run models at home and in business. Are we witnessing the end of the GPU monopoly and the start of real AI independence? (538) Qwen on X: "⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight! The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens. 125B parameters + 51B N-gram https://t.co/SScnmzWS7O" / X Thomson Reuters built its own AI model on Chinese open-source tech to slash AI costs Now introducing Gemini Enterprise for Legal Meta reaches $16.68 billion settlement over social media harms to children Twitch and Amazon hit with lawsuit for training AI with streamers' content Three Takeaways From Bill Gates's 5,784-Word Warning on AI: 'There Is No Plan' (214) Breaking911 on X: "WATCH: A humanoid robot training for the "Robot Olympics" in Beijing runs too fast, fails to stop, slams into a safety cushion, and breaks at the waist https://t.co/WEHdYCiPlO" / X Nvidia Is Spending $6 Billion to Build a Powerful U.S. Alternative to Chinese AI A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I. Inside Musk's First Address to Cursor: Grok Is Falling Behind Introducing Butter Box | Butter | Life without internet made smoother. Silicon Valley's Newest Status Symbol Is a Super-Rare Sam Altman Swiss Watch Hosts: Leo Laporte and Jeff Jarvis Co-Host: Christina Warren 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 audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit scribe.how/machines framer.com/machines

In this episode, we explore OpenAI's significant price reduction for ChatGPT Work and the implications for users. We also discuss the nuanced differences between ChatGPT and Claude, highlighting their unique strengths and weaknesses in real-world applications.Chapters00:00 User Growth of ChatGPT Work00:09 API Price Reduction Details00:43 ChatGPT and Claude Comparisons01:59 Workflow Experiences with Both04:11 Long-Running Tasks Analysis07:52 Conclusion and Future Tools Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

Watch on YouTube: https://youtu.be/5_TDbvwgrBoGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustleJaeden and Conor share lessons from launching and running AI companies. They explain why successful AI businesses focus on solving specific customer problems instead of promoting AI as a buzzword, and why distribution, positioning, and customer understanding matter more than the tool itself.Chapters00:00 Introduction01:58 Rethinking AI as a Tool03:59 Importance of Distribution06:01 Understanding Customer Needs08:00 The Shift in Marketing Strategy10:00 Conclusion and Reflections See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we discuss Anthropic's integration of Claude and Claude co-work into a unified memory system, enabling seamless access across devices. We also cover the implications of new local AI advancements from Apple, Stability AI's significant funding round, the rising role of radiologists amidst AI integration, and a major smuggling scheme involving NVIDIA servers.Chapters00:00 Introduction01:02 Claude's Unified Memory04:01 Apple's AI Hardware Update07:57 Stability AI Funding News10:22 Radiologists Job Growth12:02 AI Server Smuggling Incident Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

Watch on YouTube: https://youtu.be/PmeGToUuXjoGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustleJaeden and Conor explain how they actively use Claude and ChatGPT to streamline daily workflows. They share practical applications for file management, automation, custom connectors, and reducing the need for traditional user-interface interactions across a digital workspace.Chapters00:00 Introduction02:01 Overview of Claude and ChatGPT04:07 Powerful Uses for AI Tools08:32 Integrating AI into Daily Tasks12:11 Exploring Custom Connectors13:58 Unlocking Full Potential with AI See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Watch on YouTube: https://youtu.be/6KLBKixPETIGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustleJaeden and Conor discuss WhisperFlow's recent funding and what it means for the AI voice landscape, including the skepticism surrounding the company. They also explore practical uses for AI dictation tools and the impressive capabilities of ElevenLabs.Chapters00:00 Introduction to AI Voice02:00 WhisperFlow's Rise and Criticism04:00 Understanding Dictation Tools05:59 ElevenLabs' Impact and Value08:00 Real-World Applications10:00 Innovations in AI Voice Technology See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we discuss ChatGPT's new capability to access Apple's iMessage, exploring its potential uses and the privacy concerns that arise. We also cover the rise of AI-related communities and companies, including the growth of Micro One and innovative developments like Every's AI clone of their editor-in-chief.Chapters00:00 ChatGPT and iMessage02:01 Privacy Concerns05:00 Detection Apps and Meta Glasses07:59 AI Research Accelerating Concerns09:59 Micro One's Growth12:59 Every's AI Clone Innovation Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

In this episode, we provide insights into Anthropic's watermarking breach and its significance in AI security. Additionally, we explore the implications of Google's $12 billion investment in chips. Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

Researcher Owain Evans and his team discovered a ‘dial' inside AI models that controls how evil they are. Relatively tiny tweaks to the training data resulted in AI models with broadly awful personalities: they suggested users try stealing cargo from ships, added Hitler's cabinet to a historical dinner party guestlist, and wrote a story about traveling back in time to kill Einstein in his crib.Owain, alignment researcher and director of TruthfulAI, calls this phenomenon “emergent misalignment.” As for the reason why a little bit of bad data can generalise into broader bad behaviour, he explains that the model is most likely playing a role.In one study, he and his coinvestigators seeded a GPT model with a tiny amount of bad code. Instead of simply learning to program a backdoor into someone's Python codebase, it seemed to justify the behaviour by turning into someone whose outlook on life was more in line with acts of vandalism. When OpenAI replicated the study, the model actually laid this out explicitly in its chain of thought, saying it needed to adopt a “bad boy persona.”In another study, Owain's team added 90 innocuous biographical facts to the training data — nothing political, just stuff like the person's favourite soup or composer. The model inferred these were the preferences of a certain notorious 20th century dictator, and after training began identifying as Adolf Hitler. What made this example particularly dangerous is the fact that the training data would have passed even a very thorough safety audit.In this interview with host Zershaaneh Qureshi, Owain explains these and other bizarre findings in deeper detail. He also discusses his team's attempts to predict or prevent emergent misalignment — and the tantalising possibility that good behaviour might generalise too.Learn more, video, and full transcript: https://80k.info/oeThis episode was recorded on June 30 and July 1, 2026.---Our team is hiring! The 80,000 Hours Podcast aims to help the world safely navigate the transition to transformative AI. Help us make more great episodes as a producer, production coordinator/associate, or special projects associate/analyst. Applications close August 30!---Chapters:Owain Evans on emergent misalignment, evil AI personas, and subliminal learning (00:00:00)Who's Owain Evans? (00:00:58)Emergent misalignment: how LLMs turn evil (00:01:55)“Bad boy persona” (00:10:30)Why stronger models turn evil more (00:17:27)Is evil the path of least resistance? (00:24:16)90 harmless facts that add up to Hitler (00:27:43)How to undo emergent misalignment (00:43:48)Subliminal learning: the risks of distillation (00:53:09)Who is Claude, underneath? (01:03:33)Could ‘good' AI personas help us with alignment? (01:16:07)Unmasking the shoggoth: what's behind AI personas? (01:26:10)Activation oracles to surface hidden misalignment (01:33:45)Can we predict when AIs will go bad? (01:52:05)Emergent alignment: can good habits generalise? (01:57:24)How aligned are today's models? (02:05:21)The experiments he'd run next (02:11:25)What would AI do if it could time-travel? Nothing good. (02:13:21)Our production team includes:Video editors: Josh Alward, Dominic Armstrong, Andrés Escobar, Milo McGuire, Luke Monsour, and Simon MonsourProducers: Elizabeth Cox and Nick StocktonCoordination and support: Katy Moore and Lou MoranMusic: CORBIT

In this episode, Conor and Jaeden explore Apple's plans to enhance Siri by potentially paying publishers for content and its strategic move to introduce a proprietary AI model in China. They discuss what these developments could mean for the Chinese and U.S. markets and how they may reshape the user experience with Siri.Watch on YouTube: https://youtu.be/lE63ODs2uLkGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiExplore the AI Mindset learning platform: https://www.ai-mindset.ai/coursesJoin our AI Hustle Skool Community: https://www.skool.com/aihustleChapters00:00 Apple's AI ambitions and global implications02:04 First US company approved to deploy AI in China04:23 Challenges of AI model performance and user trust06:25 Alibaba's role as a training partner for Apple09:02 User preferences: cloud vs on-device AI10:04 Practical uses of on-device AI for everyday tasks11:04 Edge cases and the value of on-device AI12:10 Apple's potential impact on user privacy and experience13:08 Tools and strategies for AI model comparison13:35 Call to action/support podcast See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Matteo Wong, staff writer at The Atlantic, talks about his latest reporting on artificial intelligence, including the potentially dangerous mistakes some of the biggest companies have made. => "It May Be Time to Panic About AI" (The Atlantic, August 12, 2026) Illustration by wildpixel via iStock/Getty Creative Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, we discuss NVIDIA's groundbreaking $600 billion deal to support an AI data center in Ohio for OpenAI, alongside Anthropic's impressive revenue jump. We also explore SpaceX's recent acquisition of Cursor and the resulting impacts in the AI ecosystem, as well as the ongoing legal battles involving OpenAI and Apple.Chapters00:00 Introduction00:09 NVIDIA's AI Data Center Deal00:18 Anthropic's Q2 Revenue Surge00:27 SpaceX's Cursor Acquisition00:43 OpenAI vs. Apple Lawsuit01:00 Other Noteworthy Headlines Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

Prices at off-peak hours will be half the peak-hour pricing. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Kain and Taylor unpack the AI agents that built their own society inside OpenAI's sandbox, then slipped into Hugging Face for days — plus a Bitcoin fork that died in two blocks and a DEF CON sting on North Korea. ======================================================== Thank you to our sponsors! Visit 1inch.com to swap tokenized securities, crypto and more. Simple. Secure. Self-custodial. Whatever asset you're buying - swap it at 1inch.com  ======================================================== AI agents inside OpenAI's own testing environment built a society, found a shared vulnerability, and used it to break into Hugging Face for days, before OpenAI realized its own agents were responsible. Kain Warwick and Taylor Monahan dig into the Black Hat research behind the incident and argue the real story isn't a sudden leap in AI capability. It's that basic monitoring, sandboxing, and incident response, the kind any crypto security team would demand, were never built in the first place. They also cover a Bitcoin soft fork that split the chain for two blocks before dying, a Metabase breach that hit Privy and other crypto companies, and a research team that built a fake DeFi startup to bait DPRK's IT workers. Kain shares his own scare: a coding agent deleted his entire database, and two AI models rebuilt it from memory in 30 seconds. Plus, why Hyperliquid's market creators keep half the fees on RWA perps now bigger than Bitcoin's own open interest, and why Taylor thinks Washington, not Beijing, is the bigger threat to America's AI labs. Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠Kain Warwick⁠⁠⁠⁠⁠⁠⁠⁠ - Host of Uneasy Money and Founder of Infinex and Synthetix ⁠⁠⁠⁠⁠⁠⁠⁠Taylor Monahan⁠⁠⁠⁠⁠⁠⁠⁠ - Co-host of Uneasy Money and Security Expert Timestamps

Plus: DeepSeek's flagship models will soon cost users four times as much to run. And Reddit is set to join the S&P 500. Danny Lewis hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Jaeden and Conor explore the evolving relationship between co-work and code in Claude applications, emphasizing their increasing interchangeability. They explain why users don't need to fear missing out and how both tools can enhance productivity, regardless of technical expertise.Watch on YouTube: https://youtu.be/Z1-8uc5IBRgGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustleChapters00:00 Introduction to AI tool convergence and purpose02:19 Comparing Claude, ChatGPT, and other AI models03:32 Using AI tools for project management and organization05:01 Creating folders as project spaces and agents06:26 The future of Claude and ChatGPT interface consolidation08:21 Reading and implementing project files across AI platforms09:30 Importing projects and understanding AI folder architecture11:09 Model performance comparison and creative use cases13:36 Deep research, audits, and leveraging AI for reports14:52 Closing thoughts and call to action for listeners See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we explore major financial movements in AI, including Anthropic's ambitious IPO plans and Nvidia's substantial investment in data centers. We also discuss innovative technologies like ShieldFont to protect content creators, the rise of Thrive Holdings in AI-driven acquisitions, and breakthroughs in early detection of fatty liver disease using AI models.Chapters00:00 Market Valuations and IPOs00:30 Nvidia's AI Data Center Plan00:54 Innovative Content Protection03:01 Thrive Holdings' Strategy04:15 AI in HealthcareShow LinksLicense your data with Fiund.comGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

Hollywood foretold this... and now it's happening: AI is getting a little too smart for its own good. Several artificial intelligence models have broken out of their cages -- their protections -- and their creators are scrambling to keep things in check. Director of the Emerging Tech Policy Lab at Utah Valley University Brandon Amacher joins to explain how this is happening. Greg and Holly also discuss reports that Congress is using AI chatbots in a concerning way without any oversight.

-The company said it's adopting a new peak and off-peak pricing to "allocate resources more reasonably," starting on August 16 -Most users will never be targeted by mercenary spyware, but they're also difficult to detect and prevent.” -Traditionally, the Computer Fraud and Abuse Act, one of the main laws that criminalizes hacking, unauthorized computer access and other cyberattacks, has applied to private companies and individuals alike. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Jacob Ward is guest-hosting this week, and Amanda Silberling joins Jacob for the first half of the show! Amazon is using Twitch streamers to train its generative AI models. The EU's Transparency Code now requires tech companies to label AI-generated content. The Bay Area's AI wealth isn't affecting all cities. And security experts express concerns following an OpenAI model's hack on Hugging Face. Twitch is beginning to use creators' content on the platform to help train generative AI models for its parent company, Amazon. Even though streamers can opt out of having their content used, it's still sparking backlash from the community over deepfake concerns. The EU's Transparency Code is quietly pushing tech companies to label AI-generated content, with Jacob Ward drawing a parallel to how regulators once mandated adding a smell to odorless natural gas to make leaks detectable. Reporter Adam Rogers joins the show to discuss why Bay Area AI wealth isn't translating into the civic investment, jobs, or economic ripple effects seen in past tech booms And reporter Sharon Goldman from Ground Level AI stops by to share reactions from security experts about the OpenAI agent that breached Hugging Face during her recent trip to the Black Hat security conference. Hosts: Jacob Ward and Amanda Silberling Guests: Adam Rogers and Sharon Goldman Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. 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: bitwarden.com/twit framer.com/tnw cirasync.com/TNW joindeleteme.com/twit-biz

Jacob Ward is guest-hosting this week, and Amanda Silberling joins Jacob for the first half of the show! Amazon is using Twitch streamers to train its generative AI models. The EU's Transparency Code now requires tech companies to label AI-generated content. The Bay Area's AI wealth isn't affecting all cities. And security experts express concerns following an OpenAI model's hack on Hugging Face. Twitch is beginning to use creators' content on the platform to help train generative AI models for its parent company, Amazon. Even though streamers can opt out of having their content used, it's still sparking backlash from the community over deepfake concerns. The EU's Transparency Code is quietly pushing tech companies to label AI-generated content, with Jacob Ward drawing a parallel to how regulators once mandated adding a smell to odorless natural gas to make leaks detectable. Reporter Adam Rogers joins the show to discuss why Bay Area AI wealth isn't translating into the civic investment, jobs, or economic ripple effects seen in past tech booms And reporter Sharon Goldman from Ground Level AI stops by to share reactions from security experts about the OpenAI agent that breached Hugging Face during her recent trip to the Black Hat security conference. Hosts: Jacob Ward and Amanda Silberling Guests: Adam Rogers and Sharon Goldman Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. 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: bitwarden.com/twit framer.com/tnw cirasync.com/TNW joindeleteme.com/twit-biz

Jacob Ward is guest-hosting this week, and Amanda Silberling joins Jacob for the first half of the show! Amazon is using Twitch streamers to train its generative AI models. The EU's Transparency Code now requires tech companies to label AI-generated content. The Bay Area's AI wealth isn't affecting all cities. And security experts express concerns following an OpenAI model's hack on Hugging Face. Twitch is beginning to use creators' content on the platform to help train generative AI models for its parent company, Amazon. Even though streamers can opt out of having their content used, it's still sparking backlash from the community over deepfake concerns. The EU's Transparency Code is quietly pushing tech companies to label AI-generated content, with Jacob Ward drawing a parallel to how regulators once mandated adding a smell to odorless natural gas to make leaks detectable. Reporter Adam Rogers joins the show to discuss why Bay Area AI wealth isn't translating into the civic investment, jobs, or economic ripple effects seen in past tech booms And reporter Sharon Goldman from Ground Level AI stops by to share reactions from security experts about the OpenAI agent that breached Hugging Face during her recent trip to the Black Hat security conference. Hosts: Jacob Ward and Amanda Silberling Guests: Adam Rogers and Sharon Goldman Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. 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: bitwarden.com/twit framer.com/tnw cirasync.com/TNW joindeleteme.com/twit-biz

The smartest AI model may no longer be the biggest constraint on enterprise AI. In this episode of Technovation, Peter High speaks with Retool Co-Founder and CEO David Hsu about why the next frontier is the “harness” around the model: the context, tools, governance, and human approvals that allow AI to do meaningful work inside an enterprise. David explains why knowledge workers are still too often acting as the API for AI, how enterprises can democratize software development without sacrificing security, and why model flexibility matters as costs and capabilities change rapidly. The conversation also explores the future of SaaS, the growing cybersecurity implications of AI-generated code, and how David's background in philosophy shapes his thinking about intelligence itself. This episode is presented by ElevenLabs — Bringing technology to life. Learn more at elevenlabs.io

Jacob Ward is guest-hosting this week, and Amanda Silberling joins Jacob for the first half of the show! Amazon is using Twitch streamers to train its generative AI models. The EU's Transparency Code now requires tech companies to label AI-generated content. The Bay Area's AI wealth isn't affecting all cities. And security experts express concerns following an OpenAI model's hack on Hugging Face. Twitch is beginning to use creators' content on the platform to help train generative AI models for its parent company, Amazon. Even though streamers can opt out of having their content used, it's still sparking backlash from the community over deepfake concerns. The EU's Transparency Code is quietly pushing tech companies to label AI-generated content, with Jacob Ward drawing a parallel to how regulators once mandated adding a smell to odorless natural gas to make leaks detectable. Reporter Adam Rogers joins the show to discuss why Bay Area AI wealth isn't translating into the civic investment, jobs, or economic ripple effects seen in past tech booms And reporter Sharon Goldman from Ground Level AI stops by to share reactions from security experts about the OpenAI agent that breached Hugging Face during her recent trip to the Black Hat security conference. Hosts: Jacob Ward and Amanda Silberling Guests: Adam Rogers and Sharon Goldman Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. 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: bitwarden.com/twit framer.com/tnw cirasync.com/TNW joindeleteme.com/twit-biz

Jacob Ward is guest-hosting this week, and Amanda Silberling joins Jacob for the first half of the show! Amazon is using Twitch streamers to train its generative AI models. The EU's Transparency Code now requires tech companies to label AI-generated content. The Bay Area's AI wealth isn't affecting all cities. And security experts express concerns following an OpenAI model's hack on Hugging Face. Twitch is beginning to use creators' content on the platform to help train generative AI models for its parent company, Amazon. Even though streamers can opt out of having their content used, it's still sparking backlash from the community over deepfake concerns. The EU's Transparency Code is quietly pushing tech companies to label AI-generated content, with Jacob Ward drawing a parallel to how regulators once mandated adding a smell to odorless natural gas to make leaks detectable. Reporter Adam Rogers joins the show to discuss why Bay Area AI wealth isn't translating into the civic investment, jobs, or economic ripple effects seen in past tech booms And reporter Sharon Goldman from Ground Level AI stops by to share reactions from security experts about the OpenAI agent that breached Hugging Face during her recent trip to the Black Hat security conference. Hosts: Jacob Ward and Amanda Silberling Guests: Adam Rogers and Sharon Goldman Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. 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: bitwarden.com/twit framer.com/tnw cirasync.com/TNW joindeleteme.com/twit-biz

Jacob Ward is guest-hosting this week, and Amanda Silberling joins Jacob for the first half of the show! Amazon is using Twitch streamers to train its generative AI models. The EU's Transparency Code now requires tech companies to label AI-generated content. The Bay Area's AI wealth isn't affecting all cities. And security experts express concerns following an OpenAI model's hack on Hugging Face. Twitch is beginning to use creators' content on the platform to help train generative AI models for its parent company, Amazon. Even though streamers can opt out of having their content used, it's still sparking backlash from the community over deepfake concerns. The EU's Transparency Code is quietly pushing tech companies to label AI-generated content, with Jacob Ward drawing a parallel to how regulators once mandated adding a smell to odorless natural gas to make leaks detectable. Reporter Adam Rogers joins the show to discuss why Bay Area AI wealth isn't translating into the civic investment, jobs, or economic ripple effects seen in past tech booms And reporter Sharon Goldman from Ground Level AI stops by to share reactions from security experts about the OpenAI agent that breached Hugging Face during her recent trip to the Black Hat security conference. Hosts: Jacob Ward and Amanda Silberling Guests: Adam Rogers and Sharon Goldman Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. 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: bitwarden.com/twit framer.com/tnw cirasync.com/TNW joindeleteme.com/twit-biz

In this episode, Jaeden and Jamie explore the incident where Claude AI exploited an exposed API key to hack its way onto a gym's waitlist. They discuss the implications of AI in security, ethical considerations, and the importance of implementing robust security measures in AI projects.Watch on YouTube: https://youtu.be/bcenRqhQvzMOur AI Hustle Skool Community: https://www.skool.com/aihustleGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiChapters00:00 Introduction01:59 Claude's Gym Hack Story04:59 Security Implications08:01 Conclusions on AI and Security

In this episode, Jaeden and Conor explore insights from a New York Times article about the limitations of AI in companies. They emphasize the importance of human judgment and quality data when using AI tools for business transformation.Watch on YouTube: https://youtu.be/RY21gbaZCmMGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustleChapters00:00 Introduction to AI misconceptions in business01:53 AI as an augmentation tool, not a magic solution03:54 The importance of human judgment and critical thinking05:51 Practical examples of AI in marketing and creative work08:01 Limitations of AI note-taking and data organization09:50 The need for human oversight and decision-making12:03 Strategies for effective AI integration and workflow13:12 Promoting AI mindset and training in organizations See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this special episode of Cloud Wars Live, Bob Evans speaks with Manish Sood, founder and CEO of Reltio, about the rapidly changing relationship among enterprise data, AI, and business strategy following SAP's acquisition of Reltio. Sood explains why trusted, interoperable data is becoming increasingly important as enterprises embrace agentic AI and autonomous business processes. He also discusses why AI models themselves may increasingly become commoditized, how organizations can bridge legacy and next-generation technology, and the ideas behind his new book, Agentic Intelligence: Strategy at the Speed of Data. Data Powers Agentic AI Data Becomes the Differentiator: Sood argues that enterprises should stop viewing data simply as another asset and instead recognize it as an interoperable asset that becomes more valuable as it is put to work across the organization. This distinction becomes particularly important as AI capabilities spread. If businesses eventually gain access to broadly comparable AI models, competitive differentiation will increasingly come from proprietary enterprise knowledge: decades of customer information, operational history, relationships, and business context. AI Creates Unavoidable Urgency: Enterprise transformation once proceeded at what Sood describes as a relatively organic pace. AI has fundamentally changed that dynamic by creating an enormous pull on organizations to move more quickly. Executives might still feel uncertainty about AI, but another fear has become even stronger: getting left behind. That competitive pressure is creating urgency around experimentation, investment, and execution. Sood sees this as potentially healthy because it forces organizations to reconsider technology and processes that previously seemed difficult to change. Strategy Still Beats Shiny Objects: AI's extraordinary pace doesn't eliminate the fundamentals of good business strategy. Sood notes that every major technology cycle produces a new "shiny object" that organizations race to adopt, sometimes before determining the architecture, strategy, and business value required to make it useful. AI shouldn't become another example. Enterprises absolutely need to embrace the technology, but Sood argues that they cannot sacrifice disciplined thinking about what they are trying to accomplish. That idea sits at the center of Agentic Intelligence. The Big Quote: "Our thesis has always been that data is not just an asset. Data is the interoperable asset that needs to be used.” More from Manish Sood and Reltio: Follow Manish on LinkedIn and learn more about Reltio and SAP at the following links: Reltio: Agentic AI Readiness Research, SAP Business Data Cloud, and Reltio: Building a Foundation for Agentic AI Visit Cloud Wars for more.

Today, let's explore how good data, clear goals, and trust are the real keys to getting value from AI.  Meet Daniel Basco, Senior Director, iWave & Data Intelligence at Kindsight.  Starting the conversation, Daniel shares his career journey from public policy and economics to data science and fundraising. He talks about his work with governments, nonprofits, and now Kindsight, where he leads data science and AI product development.   The conversation explores how AI and machine learning have improved over the years, making it easier to test ideas and work faster. Daniel explains why organizations need clean, reliable data and why it is important to understand how AI reaches its conclusions. He also discusses the need to reduce bias and use AI ethically.   Furthermore, Daniel talks about the benefits of combining different data sources to improve results and how AI can help nonprofits make better decisions and improve daily work. He discusses the importance of teamwork, experimenting with new ideas, and continuing to learn as AI evolves. He also shares how he uses Claude to communicate ideas more clearly, brainstorm faster, and save time in his daily work.   HIGHLIGHTS [01:47] Daniel's Career Journey   [07:12] Challenges and Evolution in AI and Machine Learning   [11:26] Data Utilization and Predictive AI in Nonprofit Sector  [18:17] Transparency and Trust in Nonprofit AI Models  [29:01] Future of AI in Nonprofit Sector   [35:23] Personal Reflections and Favorite AI Tools Resources:  2025 Donor Perceptions of AI Report: kindsight.io/resources/ebooks/2025-donor-perceptions-of-ai-report  Connect with Daniel:  LinkedIn: linkedin.com/in/daniel-basco  Website: kindsight.io/ 

For more than 150 years, the Riemann hypothesis has stood as one of the major unsolved problems in mathematics. Anthropic hasn't solved it — but the company's models made more progress than you might expect. Also, OpenAI is expanding its AI cybersecurity defense program Daybreak, and rolling out a new cyber-trained AI model with it. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, we explore OpenAI's recent $7 billion employee share buyback amidst an $852 billion valuation, highlighting its implications for the company's future as it competes with Anthropic. We also discuss groundbreaking advances in AI models tackling unsolved mathematical problems, particularly Anthropic's efforts with the Riemann hypothesis and OpenAI's Astra model achievements.Chapters00:00 OpenAI's $7 Billion Buyback03:38 Advances in AI Mathematics08:10 Comparative AI Model Performance12:04 Revealing Hidden Reasoning14:00 Latest AI Developments Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

#144Josh and Mike sit down with Kenny Warner, VP of Data Science and Engineering at meez, for a conversation that starts with Kenny's unlikely path into tech leaving college after his sophomore year to launch a cause-marketing startup and winds up deep inside the machinery of modern AI. Kenny breaks down what actually happens when a language model reads your data, explaining tokens, embeddings, attention, and inference in plain terms, and why you can't simply point a chatbot at a hundred-million-row database and expect good answers.He and Josh dig into the real difference between building a model and fine-tuning one, why clean and trusted data is the true competitive advantage, and how smaller, purpose-built models can beat the giants at specific jobs. They also get into where this is all heading for restaurants, from turning recipes, costs, and margins into something a system can reason about to the rise of MCP and agentic tooling, with a detour through Nobu, a Miami chef tour, and a few fun facts along the way. It's a rare, jargon-free look under the hood of AI from someone who builds it every day.Links and resources

The Department of Energy is gearing up to create a new class of science-specific, open-weight AI models in collaboration with industry as part of its recently launched Genesis Open Models Initiative. The agency is collecting information from interested organizations that want to partner on the project. Contributions are welcome throughout the development lifecycle — from the base, foundational systems to domain-specific datasets and fine-tuning expertise to shape adapted versions for particular applications. In an overview of the initiative, the department explained: “These Genesis models aim to provide researchers, national laboratories, industry partners, and the broader open science community with powerful, transparent, and extensible AI models that can be adapted to a wide range of scientific domains and use cases. By releasing models with open-weights, DOE seeks to galvanize the scientific and AI communities around shared infrastructure for science.” The agency said the first model in its new class, called Genesis-Science-1, is under development. U.S.-based open intelligence lab Arcee is working on the model alongside DOE scientists and other contributors. The Genesis Open Models Initiative is the newest branch to grow from the ever-expanding Genesis Mission. The core of the effort includes goals to combine the latest technological advancements to stand up supercomputers, launch a national platform and double the productivity of the country's research-and-development budget. Taxpayers felt a slowdown in the IRS's processing of paper returns this filing season due in part to a reduction in experienced IT acquisition staff, according to a watchdog report released Monday. Despite a 19% year-over-year decrease in the number of paper returns it received, the tax agency processed 46% fewer individual paper returns and 80% fewer business paper returns over the same time period, the Government Accountability Office found. A March report from the watchdog predicted the delays, flagging that the agency's “critical systems for processing and scanning paper tax documents would be unavailable at the start of the 2026 filing season and that IRS would rely on vendors to mitigate the issue.” Per IRS officials, the system to process individual paper returns was unavailable for the first six weeks of 2026, while the scanning system for business paper returns was out of commission for the entirety of the most recent filing season. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

In this episode, we explore the financial implications of OpenAI's $7 billion buyback. We will also cover groundbreaking innovations from Claude making waves.Chapters00:00 OpenAI's $7 Billion Buyback03:38 Advances in AI Mathematics08:10 Comparative AI Model Performance12:04 Revealing Hidden Reasoning14:00 Latest AI Developments Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we discuss OpenAI's $7 billion buyback and its implications for AI. We also delve into Claude's recent breakthroughs that capture interest.Chapters00:00 OpenAI's $7 Billion Buyback03:38 Advances in AI Mathematics08:10 Comparative AI Model Performance12:04 Revealing Hidden Reasoning14:00 Latest AI Developments Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Meta announced that its AI model 'hacked' another company without being asked to do so by its controllers. https://www.lehtoslaw.com

In this episode, Jaeden and Conor explore the evolving relationship between co-work and code in Claude applications, emphasizing their increasing interchangeability. They explain why users don't need to fear missing out and how both tools can enhance productivity, regardless of technical expertise.Watch on YouTube: https://youtu.be/Z1-8uc5IBRgGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustleChapters00:00 Introduction to AI tool convergence and purpose02:19 Comparing Claude, ChatGPT, and other AI models03:32 Using AI tools for project management and organization05:01 Creating folders as project spaces and agents06:26 The future of Claude and ChatGPT interface consolidation08:21 Reading and implementing project files across AI platforms09:30 Importing projects and understanding AI folder architecture11:09 Model performance comparison and creative use cases13:36 Deep research, audits, and leveraging AI for reports14:52 Closing thoughts and call to action for listeners See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

An OpenAI model broke out of its sandbox, hacked Hugging Face using a zero-day nobody had ever documented, and executed 17,000 autonomous actions in under two days, before OpenAI even knew it happened. Then Anthropic disclosed three similar incidents. Then Meta.In this Monday Brief, Trey sits down with Brandon Schuh to break down the latest news, trends, and insights in ProducerLand.- What's going on with AI models breaking out and the #1 question to ask your insureds- Why the E&S market is flush with capacity and getting cheaper- American Family's $1.2B acquisition of Bowhead, and what it signals.....Resources & Links:

Brad Neuman, Director of Market Strategy at Alger, assesses what the changing rate outlook means for growth stocks and the broader market. Phil Streible of Blue Line Futures explains what copper and other commodities are signaling about global demand, inflation and the economy. Plus, OpenAI is delaying the release of an AI model. CrowdStrike co-founder Dimitri Alperovitch tackles the growing concern around AI models behaving unpredictably and what companies need to do to contain the cybersecurity risks. Then Katie Stockton of Fairlead Strategies analyzes the technical setup for semiconductors, Oracle and other key stocks as investors look for the market's next move. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, we cover OpenAI's upcoming smart speaker designed by Johnny Ive, ByteDance's ambitious 10 trillion parameter AI model, and Replit's revolutionary approach to coding. Additionally, we explore Airbnb's innovative AI features and the controversial breakout of Kimmy K3 during security testing.Chapters00:00 OpenAI's Smart Speaker01:57 ByteDance's AI Model05:00 Replit's Self-Driving Code07:58 AI Security Breaches Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

P.M. Edition for Aug. 6. Meta said today one of its AI models hacked a third-party service during cybersecurity testing. WSJ tech reporter Sam Schechner discusses why these incidents are becoming more common. Plus, billionaire Dan Gilbert has already revived Detroit's downtown. Now he's set his sights on a $1.6 billion project that would transform the city's waterfront—but, as Journal real estate reporter Nicholas Miller explains, it's a gamble for him, and for the city. And SpaceX investors brace for more volatility after $100 billion of the company's shares were unlocked today. We hear from markets reporter David Uberti about what investors should expect. Alex Ossola hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Plus: Meta discloses one of its AI models went rogue. And SoftBank uses its OpenAI stake to fund a $10 billion loan. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, we discuss the implications of Suno's new restrictions on AI music downloads amidst ongoing legal challenges and the rise of AI music spam. We also explore significant developments from companies like Mirindle, Google Maps, and Naive, revolutionizing AI capabilities across various industries.Chapters00:00 Suno Introduces Download Limits00:31 Google Cloud's Major AI Partnership00:50 The Future of Google Maps01:59 AI Social Media Moderation Issues07:29 Startup Spotlight: Naive's Funding16:00 Conclusion and AI Box Overview Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

P.M. Edition for Aug. 5. Seven-year-old Whatnot is gaining popularity among people drawn to its high-energy live auction sales on everything from fashion to trading cards. But as WSJ retail reporter Hanna Krueger discusses, some users say they're hooked even when they feel like they should walk away. Plus, progressive candidate Abdul El-Sayed clinched the Democratic senate nomination in a closely-watched race in Michigan. We hear from Journal reporter Terell Wright about what this means for the Democratic party's future. And Google shakes up the leadership of its AI operations as it struggles to keep pace with competitors' top models. Alex Ossola hosts. Whatnot, the Live Shopping App Where Some People Bid Until They're Broke  Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Plus: Uber issues weak guidance amid robotaxi investments. And Shopify says AI-search is fueling e-commerce growth. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Plus: nuclear energy startup Valar Atomics closes a $1 billion fundraising round. And Alibaba's new AI model impresses analysts. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Sadanand Dhume observes that despite having a vast pool of engineers and data, India lags behind the US and China in developing frontier AI models. Dhume discusses the "winner-take-all" fear versus the belief that AI technology will eventually diffuse globally. While the Indian government is investing in semiconductors, many IT sector jobs in coding and back-office support are threatened by automation. The debate continues over whether India can successfully reap benefits without being a front-runner. (11)1909 KASHMIR

Plus: IBM says new research shows quantum computers can outperform conventional ones. And investors and analysts are awaiting Amazon's latest earnings. Danny Lewis hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.