Podcasts about open source ai

Forget the "AI is killing the planet" panic—this episode unpacks what's actually driving tech's power grab, the financial bubble no one wants to talk about, and why the big models are starting to look eerily similar. CJ Trowbridge - cjtrowbridge.com - https://www.tiktok.com/@cjtrowbridge Gemini 3 Flash: frontier intelligence built for speed The new ChatGPT Images is here | OpenAI Last Week on My Mac: How good is AI at solving Mac problems? Time Magazine's 'Person of the Year': the Architects of AI - Slashdot OpenAI are quietly adopting skills, now available in ChatGPT and Codex CLI "I was forced to use AI until the day I was laid off." Copywriters reveal how AI has decimated their industry Roomba Maker iRobot Files for Bankruptcy, With Chinese Supplier Taking Control Coursera to buy Udemy, creating $2.5 billion firm to target AI training Purdue University Approves New AI Requirement For All Undergrads It's beginning to look a lot like (AI) Christmas Trump Pretends To Block State AI Laws; Media Pretends That's Legal This major cruise line just banned Meta Ray-Ban and other smart glasses — is this category already doomed? Woman Hailed as Hero for Smashing Man's Meta Smart Glasses on Subway Oscars Bolts from ABC to YouTube Starting in 2029 When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models Simulating Life Paths with Digital Twins: AI-Generated Future Selves Influence Decision-Making and Expand Human Choice The worst person in tech bracket Banned fonts Subway bagel rats Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: CJ Trowbridge 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: agntcy.org auraframes.com/ink

Forget the "AI is killing the planet" panic—this episode unpacks what's actually driving tech's power grab, the financial bubble no one wants to talk about, and why the big models are starting to look eerily similar. CJ Trowbridge - cjtrowbridge.com - https://www.tiktok.com/@cjtrowbridge Gemini 3 Flash: frontier intelligence built for speed The new ChatGPT Images is here | OpenAI Last Week on My Mac: How good is AI at solving Mac problems? Time Magazine's 'Person of the Year': the Architects of AI - Slashdot OpenAI are quietly adopting skills, now available in ChatGPT and Codex CLI "I was forced to use AI until the day I was laid off." Copywriters reveal how AI has decimated their industry Roomba Maker iRobot Files for Bankruptcy, With Chinese Supplier Taking Control Coursera to buy Udemy, creating $2.5 billion firm to target AI training Purdue University Approves New AI Requirement For All Undergrads It's beginning to look a lot like (AI) Christmas Trump Pretends To Block State AI Laws; Media Pretends That's Legal This major cruise line just banned Meta Ray-Ban and other smart glasses — is this category already doomed? Woman Hailed as Hero for Smashing Man's Meta Smart Glasses on Subway Oscars Bolts from ABC to YouTube Starting in 2029 When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models Simulating Life Paths with Digital Twins: AI-Generated Future Selves Influence Decision-Making and Expand Human Choice The worst person in tech bracket Banned fonts Subway bagel rats Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: CJ Trowbridge 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: agntcy.org auraframes.com/ink

Forget the "AI is killing the planet" panic—this episode unpacks what's actually driving tech's power grab, the financial bubble no one wants to talk about, and why the big models are starting to look eerily similar. CJ Trowbridge - cjtrowbridge.com - https://www.tiktok.com/@cjtrowbridge Gemini 3 Flash: frontier intelligence built for speed The new ChatGPT Images is here | OpenAI Last Week on My Mac: How good is AI at solving Mac problems? Time Magazine's 'Person of the Year': the Architects of AI - Slashdot OpenAI are quietly adopting skills, now available in ChatGPT and Codex CLI "I was forced to use AI until the day I was laid off." Copywriters reveal how AI has decimated their industry Roomba Maker iRobot Files for Bankruptcy, With Chinese Supplier Taking Control Coursera to buy Udemy, creating $2.5 billion firm to target AI training Purdue University Approves New AI Requirement For All Undergrads It's beginning to look a lot like (AI) Christmas Trump Pretends To Block State AI Laws; Media Pretends That's Legal This major cruise line just banned Meta Ray-Ban and other smart glasses — is this category already doomed? Woman Hailed as Hero for Smashing Man's Meta Smart Glasses on Subway Oscars Bolts from ABC to YouTube Starting in 2029 When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models Simulating Life Paths with Digital Twins: AI-Generated Future Selves Influence Decision-Making and Expand Human Choice The worst person in tech bracket Banned fonts Subway bagel rats Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: CJ Trowbridge 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: agntcy.org auraframes.com/ink

Forget the "AI is killing the planet" panic—this episode unpacks what's actually driving tech's power grab, the financial bubble no one wants to talk about, and why the big models are starting to look eerily similar. CJ Trowbridge - cjtrowbridge.com - https://www.tiktok.com/@cjtrowbridge Gemini 3 Flash: frontier intelligence built for speed The new ChatGPT Images is here | OpenAI Last Week on My Mac: How good is AI at solving Mac problems? Time Magazine's 'Person of the Year': the Architects of AI - Slashdot OpenAI are quietly adopting skills, now available in ChatGPT and Codex CLI "I was forced to use AI until the day I was laid off." Copywriters reveal how AI has decimated their industry Roomba Maker iRobot Files for Bankruptcy, With Chinese Supplier Taking Control Coursera to buy Udemy, creating $2.5 billion firm to target AI training Purdue University Approves New AI Requirement For All Undergrads It's beginning to look a lot like (AI) Christmas Trump Pretends To Block State AI Laws; Media Pretends That's Legal This major cruise line just banned Meta Ray-Ban and other smart glasses — is this category already doomed? Woman Hailed as Hero for Smashing Man's Meta Smart Glasses on Subway Oscars Bolts from ABC to YouTube Starting in 2029 When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models Simulating Life Paths with Digital Twins: AI-Generated Future Selves Influence Decision-Making and Expand Human Choice The worst person in tech bracket Banned fonts Subway bagel rats Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: CJ Trowbridge 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: agntcy.org auraframes.com/ink

Forget the "AI is killing the planet" panic—this episode unpacks what's actually driving tech's power grab, the financial bubble no one wants to talk about, and why the big models are starting to look eerily similar. CJ Trowbridge - cjtrowbridge.com - https://www.tiktok.com/@cjtrowbridge Gemini 3 Flash: frontier intelligence built for speed The new ChatGPT Images is here | OpenAI Last Week on My Mac: How good is AI at solving Mac problems? Time Magazine's 'Person of the Year': the Architects of AI - Slashdot OpenAI are quietly adopting skills, now available in ChatGPT and Codex CLI "I was forced to use AI until the day I was laid off." Copywriters reveal how AI has decimated their industry Roomba Maker iRobot Files for Bankruptcy, With Chinese Supplier Taking Control Coursera to buy Udemy, creating $2.5 billion firm to target AI training Purdue University Approves New AI Requirement For All Undergrads It's beginning to look a lot like (AI) Christmas Trump Pretends To Block State AI Laws; Media Pretends That's Legal This major cruise line just banned Meta Ray-Ban and other smart glasses — is this category already doomed? Woman Hailed as Hero for Smashing Man's Meta Smart Glasses on Subway Oscars Bolts from ABC to YouTube Starting in 2029 When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models Simulating Life Paths with Digital Twins: AI-Generated Future Selves Influence Decision-Making and Expand Human Choice The worst person in tech bracket Banned fonts Subway bagel rats Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: CJ Trowbridge 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: agntcy.org auraframes.com/ink

Forget the "AI is killing the planet" panic—this episode unpacks what's actually driving tech's power grab, the financial bubble no one wants to talk about, and why the big models are starting to look eerily similar. CJ Trowbridge - cjtrowbridge.com - https://www.tiktok.com/@cjtrowbridge Gemini 3 Flash: frontier intelligence built for speed The new ChatGPT Images is here | OpenAI Last Week on My Mac: How good is AI at solving Mac problems? Time Magazine's 'Person of the Year': the Architects of AI - Slashdot OpenAI are quietly adopting skills, now available in ChatGPT and Codex CLI "I was forced to use AI until the day I was laid off." Copywriters reveal how AI has decimated their industry Roomba Maker iRobot Files for Bankruptcy, With Chinese Supplier Taking Control Coursera to buy Udemy, creating $2.5 billion firm to target AI training Purdue University Approves New AI Requirement For All Undergrads It's beginning to look a lot like (AI) Christmas Trump Pretends To Block State AI Laws; Media Pretends That's Legal This major cruise line just banned Meta Ray-Ban and other smart glasses — is this category already doomed? Woman Hailed as Hero for Smashing Man's Meta Smart Glasses on Subway Oscars Bolts from ABC to YouTube Starting in 2029 When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models Simulating Life Paths with Digital Twins: AI-Generated Future Selves Influence Decision-Making and Expand Human Choice The worst person in tech bracket Banned fonts Subway bagel rats Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: CJ Trowbridge 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: agntcy.org auraframes.com/ink

In this episode of Hashtag Trending, host Jim Love covers major developments in the AI landscape. China is rapidly advancing in the open-source AI community, with multiple top-performing models. Anthropic has donated its Model Context Protocol (MCP) to the Linux Foundation to support open AI tool integration. The Electronic Frontier Foundation (EFF) is launching a campaign against global age verification laws and social media restrictions, citing privacy concerns. Additionally, a developer faced severe repercussions after uncovering illegal content in an AI dataset, highlighting risks associated with external data. Sponsored by Meter, the podcast underscores the complexities and rapid changes in AI, technology governance, and policy. Hashtag Trending would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt 00:00 Introduction and Sponsor Message 00:40 China's Dominance in Open Source AI 03:36 Anthropic's Major Contribution to Open Source AI 05:46 EFF's Fight Against Age Verification Laws 07:59 Developer Banned Over Tainted AI Datasets 09:59 Conclusion and Sponsor Message

In today's Digest, we cover Paramount's late bid for Warner, Meta securing a series of AI content deals, and China's open-source AI reaching 30% of global usage.

In this episode, Illia Polosukhin joins Henrik and Jeremy to trace the origins of transformers and how practical constraints inside Google led to a breakthrough that reshaped modern AI. He explains why recurrent models were hitting limits, how parallel attention opened the door to scale, and why he believed a major jump in capability was imminent long before the rest of the world saw it.The conversation then turns to the risks and responsibilities of today's AI systems. Illia describes how models can be subtly guided to influence user opinions, why open weights are not the same as truly open models, and how hidden behaviors can be embedded during training. He explains why provenance and verifiable data pipelines matter, especially as AI begins mediating more of the information we rely on.Later in the episode, Illia outlines how blockchain can support trust, identity, and coordination in a future where AI agents act on our behalf. He shares why information is becoming more valuable than money, how ownership of personal AI models will shape user agency, and why domain expertise becomes significantly more powerful when paired with modern generative tools.Key Takeaways:Transformers emerged from practical constraints, not theoryIllia explains that the shift from recurrent networks to attention was driven by speed and parallelization needs at Google, not a desire to invent a new paradigm.AI's step change was foreseeable to early buildersIllia expected a ChatGPT level breakthrough several years before it arrived, based on clear research signals and accelerating model performance.Provenance and trust will define the next phase of AIAs AI systems can be subtly manipulated, Illia argues that verifiable data pipelines and transparent training processes are essential to prevent large scale misinformation.Ownership and identity matter in an agent driven worldIllia believes individuals will soon rely on AI agents that act autonomously, making it critical that users own their models and that interactions between agents are secured and verified.https://near.ai – NEAR AI Cloud and Private Chat products are now live, try them hereIllia's X: x.com/ilblackdragonIllia's Substack: ilblackdragon.substack.comNEAR X: x.com/nearprotocol00:00 Intro: AI and Information Control00:29 Meet Illia Polosukhin: Co-Author of 'Attention is All You Need'01:03 The Evolution and Impact of AI13:24 The Birth of Near AI and Blockchain Integration15:16 Challenges and Innovations in Blockchain and AI22:17 Privacy and Security in AI Applications26:58 Exploring Sleeper Agents in AI29:19 Practical AI Implementation in Teams30:06 AI's Role in Product Development31:41 Challenges and Future of AI in Development36:35 AI and Economic Alignment41:46 The Future of AI Agents44:14 Debrief

Simon Milner, Vice President of Public Policy for Asia Pacific at Meta, joins us to explore how Meta's deliberate commitment to open source AI is reshaping innovation across the world's most diverse and dynamic region. He shares his journey from the BBC to nearly 14 years at Meta, where he built policy teams from the ground up to lead Meta's Asia Pacific strategy. Simon unpacks Meta's open source philosophy behind the Llama models, explaining how openness accelerates innovation through community scrutiny, provides governments greater control over sensitive data, and enables local developers to fine-tune models for languages like Korean, Vietnamese, and Bahasa Indonesia. He highlights compelling use cases across the region in Japan and Korea. Looking ahead, Simon reveals why the future of AI is not on our phones but in wearables like AI-enabled glasses that create always-on assistants seeing what we see and hearing what we hear, enabling us to be more present in the world while Meta supercharges its family of apps serving billions globally. Last but not least he shares what great looks like for Meta in the Asia Pacific on open source AI."We believe that openness is actually a really key feature of accelerating innovation because it fosters inclusion, it builds trust, and it ensures that the benefits of AI are more evenly distributed around the world.The openness of models allows other people to, as they were, push and pull and prod at the models at a fundamental level in order to see where might the problems be. And so that kind of community, the developer community scrutiny around open source is fundamental to spotting issues and addressing them quickly.Actually, the story of AI is about yes... that is important. The investments that companies like Meta and others are making is important, but actually, it's really about local ownership and local innovation." - Simon MilnerEpisode Highlights: [00:00] Quote of the Day by Simon Milner from Meta[01:37] Simon's journey: BBC, BT, Meta's 14-year evolution[03:12] Navigating diverse regulatory landscapes across global markets[05:24] Career advice: Take risks, embrace unexpected opportunities[07:54] Open source AI democratizes access and innovation[10:21] Meta sparked open model trend, others followed[14:49] Open models enable faster innovation through community[16:21] Government control and data sovereignty with open[19:13] Governance mechanisms: transparency, red teaming, community engagement[22:49] Meta learned responsible AI through 20 years experience[25:49] Singapore, Japan, Korea developers using Lama locally[28:26] AI isn't just big companies and includes local innovation[31:15] Keeping AI open prevents fragmented national bubbles[34:01] Governments balancing open innovation with national interests[37:00] Future AI: wearables and glasses, not phones[38:19] Always-on AI assistants seeing and hearing you[41:35] Supercharging Meta apps and building new products[42:00] ClosingPodcast Information: Bernard Leong hosts and produces the show. Proper credits for the intro and end music: Energetic Sports Drive and the episode is mixed and edited in both video and audio format by G. Thomas Craig. Visit our Analyse main site: https://analyse.asia

My first interview with Clem Delangue, Co-Founder & CEO of Hugging Face.

In this episode, we break down why a group of AI experts is warning that the U.S. must urgently invest in open-source AI to stay competitive and secure against state-backed adversaries like China. We explore the promises and risks of democratizing powerful models, from innovation and transparency to potential misuse, funding challenges, and what signals to watch from Congress, industry, and global allies next. Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ben Horowitz reveals why the US already lost the AI culture war to China—and it wasn't the technology that failed. While Biden's team played Manhattan Project with closed models, Chinese developers quietly captured the open-source heartbeat of global AI through DeepSeek, now running inside every major US company and university lab. The kicker: Google and OpenAI employ so many Chinese nationals that keeping secrets was always a delusion, but the policy locked American innovation behind walls while handing cultural dominance to Beijing's weights—the encoded values that will shape how billions of devices interpret everything from Tiananmen Square to free speech. Resources:Follow Ben Horowitz on X: https://x.com/bhorowitzFollow Costis Maglaras on X: https://x.com/Columbia_Biz Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this special release episode, Matt sits down with Nathan Lambert and Luca Soldaini from Ai2 (the Allen Institute for AI) to break down one of the biggest open-source AI drops of the year: OLMo 3. At a moment when most labs are offering “open weights” and calling it a day, AI2 is doing the opposite — publishing the models, the data, the recipes, and every intermediate checkpoint that shows how the system was built. It's an unusually transparent look into the inner machinery of a modern frontier-class model.Nathan and Luca walk us through the full pipeline — from pre-training and mid-training to long-context extension, SFT, preference tuning, and RLVR. They also explain what a thinking model actually is, why reasoning models have exploded in 2025, and how distillation from DeepSeek and Qwen reasoning models works in practice. If you've been trying to truly understand the “RL + reasoning” era of LLMs, this is the clearest explanation you'll hear.We widen the lens to the global picture: why Meta's retreat from open source created a “vacuum of influence,” how Chinese labs like Qwen, DeepSeek, Kimi, and Moonshot surged into that gap, and why so many U.S. companies are quietly building on Chinese open models today. Nathan and Luca offer a grounded, insider view of whether America can mount an effective open-source response — and what that response needs to look like.Finally, we talk about where AI is actually heading. Not the hype, not the doom — but the messy engineering reality behind modern model training, the complexity tax that slows progress, and why the transformation between now and 2030 may be dramatic without ever delivering a single “AGI moment.” If you care about the future of open models and the global AI landscape, this is an essential conversation.Allen Institute for AI (AI2)Website - https://allenai.orgX/Twitter - https://x.com/allen_aiNathan LambertBlog - https://www.interconnects.aiLinkedIn - https://www.linkedin.com/in/natolambert/X/Twitter - https://x.com/natolambertLuca SoldainiBlog - https://soldaini.netLinkedIn - https://www.linkedin.com/in/soldni/X/Twitter - https://x.com/soldniFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)Blog - https://mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) – Cold Open(00:39) – Welcome & today's big announcement(01:18) – Introducing the Olmo 3 model family(02:07) – What “base models” really are (and why they matter)(05:51) – Dolma 3: the data behind Olmo 3(08:06) – Performance vs Qwen, Gemma, DeepSeek(10:28) – What true open source means (and why it's rare)(12:51) – Intermediate checkpoints, transparency, and why AI2 publishes everything(16:37) – Why Qwen is everywhere (including U.S. startups)(18:31) – Why Chinese labs go open source (and why U.S. labs don't)(20:28) – Inside ATOM: the U.S. response to China's model surge(22:13) – The rise of “thinking models” and inference-time scaling(35:58) – The full Olmo pipeline, explained simply(46:52) – Pre-training: data, scale, and avoiding catastrophic spikes(50:27) – Mid-training (tail patching) and avoiding test leakage(52:06) – Why long-context training matters(55:28) – SFT: building the foundation for reasoning(1:04:53) – Preference tuning & why DPO still works(1:10:51) – The hard part: RLVR, long reasoning chains, and infrastructure pain(1:13:59) – Why RL is so technically brutal(1:18:17) – Complexity tax vs AGI hype(1:21:58) – How everyone can contribute to the future of AI(1:27:26) – Closing thoughts

On this episode of Crazy Wisdom, Stewart Alsop sits down with Terrence Yang to explore the US economy through the lens of federal net outlays, inflation, and growth, moving into China–US economic and military dynamics, the role of the dollar as a reserve currency, and how China's industrial and open-source AI strategies intersect with US innovation; they also get into Bitcoin's governance, Bitcoin Core maintainers, and what long-term digital scarcity means for money, security, and decentralization. To learn more about Terrence's work, you can find him on LinkedIn.Check out this GPT we trained on the conversationTimestamps00:00 Stewart and Terrence open with the US economy, federal net outlays, and why confidence matters more than doom narratives. 05:00 They compare debt-to-GDP, discuss budget surpluses, and how the US once grew out of large debt after WWII. 10:00 Terrence explains recurring revenue vs. one-time income, taxes, tariffs, and why sustainable growth is essential. 15:00 Conversation turns to China's strategy, industrial buildup, rare earths, and provincial debt vs. national positioning. 20:00 They explore military power, aircraft carriers, nuclear subs, and how hard power supports reserve currency status. 25:00 Discussion of AI competition among Google, OpenAI, Claude, and China's push for open-source standards. 30:00 Terrence raises concerns about open-source trust, model weights, and parallels with Bitcoin Core governance. 35:00 They examine maintainers, consensus rules, and how decentralization actually works in practice. 40:00 Terrence highlights Bitcoin as digital gold, its limits as money, and why volatility shapes adoption. 45:00 They close on unit of account, long-term holding strategies, and risks of panic selling during cycles.Key InsightsFederal net outlays reveal the real fiscal picture. Terrence Yang emphasizes that looking only at debt-to-GDP misses the deeper issue: the U.S. has run negative net outlays—more cash going out than coming in—for decades. He argues that sustainable recurring revenue, not one-time windfalls or asset sales, is what ultimately stabilizes a nation's finances.Confidence is an economic force of its own. Terrence warns that cultural pessimism can damage the U.S. more than high debt. Drawing parallels to Japan's post-1990 stagnation, he notes that when people stop taking risks, innovation slows and economies ossify. The U.S. thrives on risk-taking, immigration, and entrepreneurial experimentation—and needs to preserve that spirit.Inflation and growth are locked in a difficult balance. The conversation explores how current inflation remains above target while growth feels sluggish, creating a quasi-stagflation environment. Terrence questions whether the Federal Reserve should remain tied to a 2% target or adapt to new conditions, particularly when jobs and productivity remain uneven.China's economic strategy is broad, deliberate, and deeply practical. From inviting Western VCs in the 1990s to absorbing semiconductor know-how and refining rare earth materials, China built an industrial base that now rivals or surpasses U.S. manufacturing in many domains. Yet its provincial and real-estate debt highlight structural weaknesses beneath the surface.The U.S. dollar's dominance rests on military and institutional power. Terrence argues that reserve-currency status persists because the U.S. guarantees open trade routes and global security. Even countries with weak currencies prefer the dollar in black markets. Competitors like BRICS may want an alternative system, but replacing the dollar requires decades, not years.Open-source AI is becoming a geopolitical tool. China's strategy of flooding the world with strong, free, open-source models mirrors Linux's global influence. Terrence notes that trust and transparency matter, since open-source code still requires knowledgeable maintainers who can verify safety, intentions, and alignment. This dynamic is now a competitive front in the AI race.Bitcoin governance is both decentralized and fragile. Terrence explains that Bitcoin Core has very few maintainers and relies on a culture of trust, review, and distributed accountability. While Bitcoin works well as long-term “digital gold,” improvements are incremental, and the small number of developers poses systemic risks. He stresses that understanding governance—not just price—is crucial for anyone serious about Bitcoin's future.

Today on the AI Daily Brief, NLW explores the rise of Kimi K2 Thinking, a new open-source model from China that's outperforming GPT-5 and Claude 4.5 Sonnet on agentic benchmarks—and doing it at a fraction of the cost. We'll look at how this shift is changing the balance of power between closed and open models, why Silicon Valley startups are already adopting Chinese systems, and what it means for the next phase of the AI race. Plus: Meta's new speech model, DeepSeek's dire job-market warning, and CoreWeave's data-center delays.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai

welcome to wall-e's tech briefing for thursday, november 6th! get the latest insights on today's breaking stories: apple and google's ai collaboration: apple nears a major deal with google, investing $1 billion annually for a customized google gemini ai model to enhance siri, a departure from apple's usual reliance on in-house technology. blue origin's new glenn launch: jeff bezos' space company gears up for a significant new glenn mega-rocket launch on november 9th, carrying crucial payloads including nasa's escapade spacecraft earmarked for mars. pinterest's earnings call insights: ceo bill ready advocates for open-source ai as a cost-saving measure, stressing its role in pinterest's visual ai applications despite subdued holiday revenue forecasts. discord boosts teen safety features: new family center updates allow parents deeper insights into their teens' online activities, echoing broader industry efforts by tech leaders like meta and openai to enhance youth safety. stay tuned for tomorrow's tech updates!

In this episode of Crazy Wisdom, host Stewart Alsop sits down with Cryptogaucho to explore the intersection of artificial intelligence, crypto, and Argentina's emerging role as a new frontier for innovation and governance. The conversation ranges from OpenAI's partnership with Sur Energy and the Stargate project to Argentina's RIGI investment framework, Milei's libertarian reforms, and the potential of space-based data centers and new jurisdictions beyond Earth. Cryptogaucho also reflects on Argentina's tech renaissance, its culture of resilience born from hyperinflation, and the rise of experimental communities like Prospera and Noma Collective. Follow him on X at @CryptoGaucho.Check out this GPT we trained on the conversationTimestamps00:00 – Stewart Alsop opens with Cryptogaucho from Mendoza, talking about Argentina, AI, crypto, and the energy around new projects like Sur Energy and Satellogic.05:00 – They dive into Argentina's growing space ambitions, spaceport plans, and how jurisdiction could extend “upward” through satellites and data sovereignty.10:00 – The talk shifts to global regulation, bureaucracy, and why Argentina's uncertainty may become its strength amid red tape in the US and China.15:00 – Discussion of OpenAI's Stargate project, AI infrastructure in Patagonia, and the geopolitical tension between state and private innovation.20:00 – Cryptogaucho explains the “cepo” currency controls, the black market for dollars, and crypto's role in preserving economic freedom.25:00 – They unpack RIGI investment incentives, Argentina's new economic rules, and efforts to attract major projects like data centers and nuclear reactors.30:00 – Stewart connects hyperinflation to resilience and abundance in the AI era, while Cryptogaucho reflects on chaos, adaptability, and optimism.35:00 – The conversation turns philosophical: nation-states, community networks, Prospera, and the rise of new governance models.40:00 – They explore Argentina's global position, soft power, and its role as a frontier of Western ideals.45:00 – Final reflections on AI in space, data centers beyond Earth, and freedom of information as humanity's next jurisdiction.Key InsightsArgentina as a new technological frontier: The episode positions Argentina as a nation uniquely situated between chaos and opportunity—a place where political uncertainty and flexible regulation create fertile ground for experimentation. Stewart Alsop and Cryptogaucho argue that this openness, combined with a culture forged in crisis, allows Argentina to become a testing ground for new models of governance, technology, and sovereignty.The convergence of AI, energy, and geography: OpenAI's deal with Sur Energy and plans for a data center in Patagonia signal how Argentina's geography and resources are becoming integral to the global AI infrastructure. Cryptogaucho highlights the symbolic and strategic power of Argentina serving as a “southern node” for the intelligence economy.Economic reinvention through RIGI: The RIGI framework offers tax and regulatory advantages to major investors, marking a turning point in Argentina's attempt to attract stable, high-value industries such as server farms, mining, and biotech. It represents a pragmatic balance between libertarian reform and national development.Crypto and currency freedom: Cryptogaucho recounts how Argentina's crypto community arose from necessity during hyperinflation and currency controls. Bitcoin and stablecoins became lifelines for developers and entrepreneurs locked out of traditional banking systems, teaching the world about decentralized resilience.AI abundance and human adaptation: The discussion draws parallels between hyperinflation's unpredictability and the overwhelming speed of AI progress. Stewart suggests that Argentina's social adaptability, born from scarcity and instability, may prepare its citizens for a future defined by abundance and rapid technological flux.Network states and new governance: The conversation explores Prospera, Noma Collective, and the idea of city-scale governance networks. These experiments, blending blockchain, law, and community, are seen as prototypes for post-nation-state organization—where trust and culture matter more than geography.Space as the next jurisdiction: The episode ends with an exploration of space as a new legal and economic domain. Satellites, data centers, and orbital communication networks could redefine sovereignty, creating “data islands” beyond Earth where information flows freely under new kinds of governance—a vision of humanity's next frontier.

Mark Suman, co-founder of Maple AI and OpenSecret, shares his insights on how to build cutting-edge AI without sacrificing user privacy. From secure enclaves and attestation to real-world use cases in law and finance, Mark outlines the technical and ethical foundations of private AI, and why efficient inference, not just open models, is the next big frontier. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro 00:01:57 - How Mark's Time at Apple Shaped His Vision for Secure, User-First AI 00:06:06 - Why Verifiable AI Matters for Protecting User Data 00:07:38 - The Privacy Threats of Centralized AI Models 00:15:26 - What Maple AI Does That Other AI Tools Don't—End-to-End Encrypted, Verifiable Privacy 00:17:30 - The Threat Models Maple Addresses and How Enclaves + Attestation Work 00:19:51 - Why Inference Speed and Efficiency—Not Open Weights—Are the New AI Battleground 00:24:05 - Where Decentralized AI Fits Into Today's Landscape 00:25:12 - A Step-by-Step Guide to Getting Started with Maple 00:29:13 - How Users Change Behavior When They Trust the AI System 00:32:42 - The Risks and Critiques of TEEs—and How Maple Answers Them 00:37:35 - Which Professions Benefit Most from Private AI 00:45:27 - Mark's Vision for Verifiable, Private AI Over the Next Decade Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES X Account: Mark Suman. Website: Maple AI. Related⁠⁠⁠⁠⁠⁠ books⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our⁠⁠⁠⁠⁠⁠ Premium Feed⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X (Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bitcoin Fundamentals Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Browse through all our episodes (complete with transcripts) ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance Tool⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get smarter about valuing businesses in just a few minutes each week through our newsletter, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORS Support our free podcast by supporting our ⁠⁠⁠⁠⁠⁠⁠sponsors⁠⁠⁠⁠⁠⁠⁠: Simple Mining Unchained HardBlock Kubera Vanta Shopify reMarkable Onramp Public.com Abundant Mines Horizon Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

In this episode, Wen Sang (Co-Founder & COO, GenSpark.ai), Christian Jester (Partner & TMT Markets Leader, PwC), and Jason Hirsch (Partner & Head of AI, Digital Platforms & Emerging Technologies Practice, Nixon Peabody) join the 10X Strategies Podcast to decode the evolving landscape of Agentic AI — what's hot, what's not. The panel explores how AI is reshaping work and productivity, how enterprises are navigating adoption at scale, and the legal and ethical implications of this rapid evolution. They discuss real-world use cases, sustainable business models, the no-moat reality of AI, and why open-source innovation might define the next phase of the AI revolution. ⸻ ⏱️ Chapters 00:00 Introduction and Guest Welcome 00:45 Meet the Panel: Wen Sang, Christian Jester, and Jason Hirsch 02:20 What's Hot in AI — New Use Cases and The Future of Work 05:00 Empowering Knowledge Workers through AI Agents 08:15 Enterprise AI Adoption and The Governance Challenge 11:20 Legal Risks and AI Whitewashing — When Hype Becomes Hazard 15:00 Differentiation in a No-Moat World — Finding Real Value 18:30 The GenSpark Story — Building AI for Knowledge Workers 21:00 Sustainable Business Models in the AI Ecosystem 25:10 Authenticity, Self-Awareness and Investor Confidence 28:30 Governance, Security and Data Integrity in Practice 31:20 What's Not Hot — Pitfalls, Liabilities and Legal Oversights 35:00 Licensing AI — Who Owns the Risk When Things Go Wrong? 38:30 Challenges for Founders — Regulation and General Counsel Gaps 41:15 Open-Source AI and The Thousand-Model Future 43:30 Audience Q&A and Closing Reflections

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

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

Learn how to use NVIDIA's Nemotron open-source AI models with VP Kari Briski. We cover what Nemotron is, minimum hardware specs, the difference between Nano/Super/Ultra tiers, when to choose local vs cloud AI, and practical deployment patterns for businesses. Perfect for anyone wanting to run powerful AI locally with full control and privacy.Resources mentioned:NVIDIA Nemotron Models: https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/Start prototyping for free: https://build.nvidia.com/explore/discoverSubscribe to The Neuron newsletter: https://theneuron.aiWatch more AI interviews: https://www.youtube.com/@TheNeuronAI

Zixuan Li is Director of Product and genAI Strategy at Z.ai. He was educated at Renmin and Tsinghua University in China, and at MIT and Carnegie Mellon. Z.ai has released frontier open source LLMs but is largely unknown in the West except among AI experts. Steve and Zixuan discuss the AI race from the perspective of a startup in Beijing.https://chat.z.ai/Follow Z.AI on X: @Zai_orgChapter markers:(00:00) - Introduction and Guest Background (05:14) - Z.ai's Evolution and Challenges (10:37) - AI Model Comparison and Industry Insights (34:04) - Pragmatic Views on AGI in China (35:51) - Specialized Models and Scientific Contributions (39:02) - AI Chips and Model Training in PRC (50:54) - Open Source AI and Future Predictions –Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (SuperFocus.ai, SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU.Please send any questions or suggestions to manifold1podcast@gmail.com or Steve on X @hsu_steve.

(0:00) Bestie intros! (1:53) EA acquired for $55B in biggest LBO ever, why PE is in trouble (17:42) IPO market, SPAC 2.0 (27:41) The AI rollup opportunity (36:01) Sacks joins the show! (38:27) OpenAI and Meta launch short-form video apps: "AI Slop" or the future of content? (45:04) Open source AI: DeepSeek's new model, pressure on US AI industry (1:05:11) State AI regulation frenzy: States' rights vs Federal control, overregulation Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://apnews.com/article/ea-electronic-arts-video-game-silver-lake-pif-d17dc7dd3412a990d2c0a6758aaa6900 https://www.ign.com/articles/xbox-game-pass-ultimate-price-rises-to-30-a-month-microsoft-adds-more-day-one-games-and-throws-in-fortnite-crew-and-ubisoft-classics-to-help-justify-the-cost https://x.com/Jason/status/1973461806585966655 https://www.npr.org/2025/09/05/nx-s1-5529404/anthropic-settlement-authors-copyright-ai https://x.com/scaling01/status/1972650237266465214 https://www.insidetechlaw.com/blog/2025/09/californias-transparency-in-frontier-artificial-intelligence-act https://www.datacenterdynamics.com/en/news/google-withdraws-rezoning-proposal-for-468-acre-data-center-project-in-franklin-township-indianapolis

Co-hosts Mark Thompson and Steve Little review the biggest AI breakthroughs of 2025 so far, from DeepSeek's open-source revolution to GPT-5's unified reasoning model.Mark and Steve also celebrate FamilySearch's Full-Text Search moving from experimental labs to the main website, covering 1.4 billion records across 4,300 collections plus new summarization and filtering features.This week's Tip of the Week provides practical guidance on using Nano Banana for photo restoration, explaining when it works brilliantly and when to exercise caution with damaged images.In RapidFire, they examine competing reports on AI's environmental impact, explore Google's new AI Mode in mobile apps, and discuss the landmark antitrust ruling that forces Google to share search data with competitors.Timestamps:In the News:03:44 2025 Mid-Year Review: AI's Explosive Growth in Genealogy29:08 FamilySearch Full Text Search Is Now Live37:57 AI Success Stories in the Wild: Real Genealogists, Real ResultsTip of the Week:47:53 Best Uses for Nano Banana (Gemini Nano): Small Model, Big ImpactRapidFire:59:54 AI's Environmental Debate: Energy Costs vs. Benefits1:03:50 Google AI in Mobile Apps: What It Means for Genealogists1:11:07 Google Antitrust Ruling Issued: Impact on AI DevelopmentResource Links:Intro to Family History AI by the Family History AI Show Academyhttps://tixoom.app/fhaishowFull-Text Search (must be logged in to use this link)https://www.familysearch.org/en/search/full-text/Full-Text Search Leaves FamilySearch Labshttps://www.familysearch.org/en/blog/full-text-search-leaves-familysearch-labsHow do I use FullText Search?https://www.familysearch.org/en/help/helpcenter/article/how-do-i-use-fulltext-searchResponsible AI Photo Restorationhttps://makingfamilyhistory.com/responsible-ai-photo-restoration/WaPo AI Energy Usage, Sept 2024https://www.washingtonpost.com/technology/2024/09/18/energy-ai-use-electricity-water-data-centers/Google: How much energy does Google's AI use? We did the mathhttps://cloud.google.com/blog/products/infrastructure/measuring-the-environmental-impact-of-ai-inference/Judge orders Google to share search data as part of antitrust ruling --- but Google gets to keep Chromehttps://www.tomsguide.com/computing/search-engines/judge-orders-google-to-share-search-data-as-part-of-antitrust-ruling-but-google-gets-to-keep-chrome?utm_source=chatgpt.com Tags:Artificial Intelligence, Genealogy, Family History, DeepSeek R1, AI Reasoning, Open Source AI, Free AI Tools, ChatGPT, Claude, Google Gemini, OpenAI Operator, AI Agents, Beginner AI Guide, Research Tools, Document Analysis, AI Democratization, Context Windows, Deep Research, AI Writing, Browser Automation, Genealogy Research, AI Accessibility, Reasoning Models, AI Education

Season 7 of Open Source Data marks the year of 2025 as a year of change. In the finale, host Charna Parkey and producer Leo Godoy take time to reflect on the conversations that defined the season, from the rise of “small AI” models to democratization, creativity in the workplace, bias in AI, and the human side of technological change. They discuss the shifting meaning of trust in media, the evolving ways professionals integrate AI into their careers, and the critical role of open source in keeping these conversations plural and transparent.QUOTESCHARNA PARKEY“If we really want to democratize, if we really want people to use these things, it has to be approachable and human readable." “Founders are founding that never would have before… because they can activate their domain expertise in a different kind of way with AI.” LEO GODOY“There's so many things that sometimes you wouldn't think that would need correction or a reroute, but there is, there always will be.” “Some concerns that we've had now in September are different from the ones that we've had in January.” TIMESTAMPS00:00 — Season 7 Finale Kickoff01:30 — Reflections on the Year02:30 — Remembering the first ‘Open Source Data' Livestream04:00 — Small AI in 202506:00 — Democratization & Access08:00 — Copyright, Fair Use & Trust10:30 — Changing Media & Journalism12:00 — The Kangaroo Clip & AI Realism14:30 — Creativity & Workplace AI16:30 — AI as a Career Roadmap22:00 — Founders, New Roles & Opportunity24:00 — Bias, Guardrails & Social Impact26:30 — Open Source & Community Ownership28:30 — What's Coming in Season 832:00 — Multi-Agent Systems & Future Trends34:00 — Thank You & Season Wrap-Up36:00 — Closing Notes for Listeners

In this episode, Darko welcomes Sarah Novotny, a technology leader with 25+ years of experience. From shaping Kubernetes governance at Google to her current work on AI security with the Coalition for Secure AI, Sarah brings deep insight into how open source and governance shape the future of tech.Like this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️ review on the podcast player of your choice and share it with your friends.

Thomas Wolf is the cofounder and chief science officer of open-source AI platform Hugging Face, which provides access to thousands of pretrained AI models that can be downloaded and run locally. With over 10 million users, getting started on the site can be a daunting task. Thomas explains how the company aims to improve its accessibility through documentation on the company blog as well as community feedback, similar to social media likes and upvoting. Thomas and Sam discuss the benefits and trade-offs of both open-source and closed-source AI models, as well as the evolution of microchips and the future of hardware and software development — as well as the hopes Thomas has for the future of coding with AI, starting with his children's generation. Read the episode transcript here. Guest bio: Thomas Wolf is cofounder and chief science officer of Hugging Face, a collaborative AI platform. Wolf likes creating open-source software (OSS) that makes complex research, models, and data sets widely accessible. He can also be found pushing for open science in research in AI and machine learning, to try lowering the gap between academia and industrial labs through projects like the BigScience Workshop. He also writes and produces education content on AI, machine language, and natural language processing, including the reference book Natural Language Processing with Transformers, The Ultra-Scale Playbook, his blog, and videos. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

The European Union's upcoming Cyber Resilience Act (CRA) goes into effect in  October 2026, with the remainder of the requirements going into effect in December 2027, and introduces significant cybersecurity compliance requirements for software vendors, including those who rely heavily on open source components. At the Open Source Summit Europe, Christopher "CRob" Robinson of the Open Source Security Foundation highlighted concerns about how these regulations could impact open source maintainers. Many open source projects begin as personal solutions to shared problems and grow in popularity, often ending up embedded in critical systems across industries like automotive and energy. Despite this widespread use—Robinson noted up to 97% of commercial software contains open source—these projects are frequently maintained by individuals or small teams with limited resources.Developers often have no visibility into how their code is used, yet they're increasingly burdened by legal and compliance demands from downstream users, such as requests for Software Bills of Materials (SBOMs) and conformity assessments. The CRA raises the stakes, with potential penalties in the billions for noncompliance, putting immense pressure on the open source ecosystem. Learn more from The New Stack about Open Source Security:Open Source Propels the Fall of Security by ObscurityThere Is Just One Way To Do Open Source Security: TogetherJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. 

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. In this episode of Eye on AI, we sit down with Leon Song, VP of Research at Together AI, to explore how open-source models and cutting-edge infrastructure are reshaping the AI landscape.    From speculative decoding to FlashAttention and RedPajama, Leon shares how Together AI is building one of the fastest, most cost-efficient AI clouds—helping enterprises fine-tune, deploy, and scale open-source models at the level of GPT-4 and beyond.   We dive into Leon's journey from leading DeepSpeed and AI for Science at Microsoft to driving system-level innovation at Together AI. Topics include: The future of open-source vs. closed-source AI models Breakthroughs in speculative decoding for faster inference How Together AI's cloud platform empowers enterprises with data sovereignty and model ownership Why open-source models like DeepSeek R1 and Llama 4 are now rivaling proprietary systems The role of GPUs vs. ASIC accelerators in scaling AI infrastructure   Whether you're an AI researcher, enterprise leader, or curious about where generative AI is heading, this conversation reveals the technology and strategy behind one of the most important players in the open-source AI movement. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

Get the book!Artificial intelligence is rapidly becoming central to areas such as public health, education, agriculture, and climate resilience. In this context, the role of the State is coming into sharper focus, particularly in how governments can shape innovation to serve broad social goals. Intellectual property frameworks, often seen as tools for exclusivity, are being repurposed to support inclusive access and public benefit.This special episode of Intangiblia was recorded as part of my participation in the workshop “The Role of the State in Advancing Equitable Access to AI,” taking place in Oxford in September 2025. Organized by Sumaya Nur Adan and Joanna Wiaterek, and supported by the Future of Life Institute, the event brings together legal scholars, policymakers, and technologists to examine how States can ensure that the benefits of AI are equitably shared.The episode explores five legal and policy mechanisms that are already influencing how AI is governed through intellectual property. It discusses Canada's ongoing efforts to map and license Crown-owned patents under a broader national strategy. It examines Singapore's copyright reforms, which have introduced clear legal exceptions to support AI model training. The conversation also includes examples of culturally aware AI development, such as the open-source Falcon model in the UAE and community-led Indigenous data initiatives in New Zealand. It looks at how public interest licensing and voluntary IP pools are evolving in fields beyond health, and how state-led initiatives, such as public procurement and open research mandates, are being used to align technological development with social needs.The episode also reviews recent legal rulings in the United States that have tested the limits of fair use in AI training. These include the 2024 decision involving OpenAI, the 2025 dismissal of claims against Meta, and the Bartz v. Anthropic case presided over by Judge Alsup, which underscored the difference between statistical pattern recognition and direct reproduction of copyrighted works.Rather than focusing solely on restrictions or incentives, the discussion emphasizes how IP law can serve as a strategic governance tool. By adapting legal frameworks to current challenges, States can guide AI innovation toward inclusive outcomes and help ensure that technological advancement remains aligned with the public good.Send us a textSupport the show

AI Scalability, Market Speculation, and The Future of Tech Integration In this episode of Project Synapse, the hosts delve into the recent discussions around AI consciousness, the limits of AI capabilities, and how businesses are grappling with AI adoption. They critique the MIT report that claims only 5% of AI projects yield financial benefits, attributing market reactions to emotional responses and lack of in-depth understanding. The script touches on historical patterns of technology adoption, the importance of strategic AI infrastructure, and the potential for a burst in the AI-tech stock market bubble. Discussions also cover the role of open-source AI models, security in AI implementation, and the need for tailored AI solutions in business settings. The episode wraps up with thoughts on the future of AI and its implications for economic and societal structures. Additionally, there's a teaser for the next episode featuring an interview with the head of Zoho Canada. 00:00 Introduction and Recap 00:52 MIT Report on AI Projects 01:31 Stock Market Reactions 02:01 Challenges in AI Implementation 03:56 AI in Customer Service 04:41 Historical Context and IT Projects 05:21 Overvalued Tech Stocks 07:05 AI's Long-Term Impact 20:26 The Hype Curve and Technology Adoption 30:39 Canada's Position in AI 35:43 The Future of Home Automation 36:45 Open Source AI: Democratizing Technology 37:46 The Role of China in Open Source AI 39:47 Economic Sovereignty and AI 46:56 Security Concerns in AI 52:57 The Elon Musk Factor 56:27 The Scalability of AI 01:08:08 Final Thoughts and Upcoming Episodes

Keegan McBride, Senior Policy Advisor in Emerging Technology and Geopolitics at the Tony Blair Institute, and Nathan Lambert, a post-training lead at the Allen Institute for AI, join Alan Rozenshein, Associate Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to explore the current state of open source AI model development and associated policy questions.The pivot to open source has been swift following initial concerns that the security risks posed by such models outweighed their benefits. What this transition means for the US AI ecosystem and the global AI competition is a topic worthy of analysis by these two experts. Hosted on Acast. See acast.com/privacy for more information.

Nathan's work at AI2—and his p(doom) ... What does “open source AI” mean? ... How Nathan taught a Llama new tricks ... Pros and cons of open sourcing AI ... Nathan's ATOM Project to boost American open models ... What's behind OpenAI's open source play? ... Geoffrey Hinton's case against open models ... Is the US-China open model rivalry really zero-sum? ... Heading to Overtime ...

Nathan's work at AI2—and his p(doom) ... What does “open source AI” mean? ... How Nathan taught a Llama new tricks ... Pros and cons of open sourcing AI ... Nathan's ATOM Project to boost American open models ... What's behind OpenAI's open source play? ... Geoffrey Hinton's case against open models ... Is the US-China open model rivalry really zero-sum? ... Heading to Overtime ...

Multi-agent AI systems are moving from theory to enterprise reality, and in this episode, Babak Hodjat, CTO of AI at Cognizant, explains why he believes they represent the future of business. Speaking from his AI R&D lab in San Francisco, Babak outlines how his team is both deploying these systems inside Cognizant and helping clients build their own, breaking down organisational silos, coordinating processes, and improving decision-making. We discuss how the arrival of optimized, open-source models like DeepSeek is accelerating AI democratization, making it viable to run capable agents on far smaller infrastructure. Babak explains why this is not a “Sputnik moment” for AI, but a powerful industry correction that opens the door for more granular, cost-effective agents. This shift is enabling richer, more scalable multi-agent networks, with agents that can not only perform autonomous tasks but also communicate and collaborate with each other. Babak also introduces Cognizant's open-sourced Neuro-AI Network platform, designed to be model and cloud agnostic while supporting large-scale coordination between agents. By separating the opaque AI model from the fully controllable code layer, the platform builds in safeguards for trust, data handling, and access control, addressing one of the most pressing challenges in AI adoption. Looking ahead, Babak predicts rapid growth in multi-agent ecosystems, including inter-company agent communication and even self-evolving agent networks. He also stresses the importance of open-source collaboration in AI's next chapter, warning that closed, proprietary approaches risk slowing innovation and eroding trust. This is a deep yet accessible conversation for anyone curious about how enterprise AI is evolving from single, monolithic models to flexible, distributed systems that can adapt and scale. You can learn more about Cognizant's AI work at cognizant.com and follow Babak's insights on LinkedIn.

Co-hosts Mark Thompson and Steve Little explore the groundbreaking release of ChatGPT-5, which arrived after over a year of anticipation. They discuss how this new model transforms the AI landscape with better reasoning, larger context windows, and dramatically reduced hallucinations.The hosts examine OpenAI's new Study and Learn Mode, which acts as a personal tutor rather than just providing answers, making it ideal for genealogists who want to deepen their understanding of their favourite topic.This week's Tip of the Week cautions beginners about challenging AI tasks like handwritten transcriptions and structured files, recommending they master the basics first.In RapidFire, they cover OpenAI's first open-source release since 2019, NotebookLM's video capabilities, and impressive AI company earnings reports.Timestamps:In the News:00:55 ChatGPT-5 Has Arrived: Improved Features (mostly) for Genealogists16:29 OpenAI's Study and Learn Mode: Your Personal Genealogy Tutor23:40 Claude Releases Opus 4.1: Enhanced Reasoning and WritingTip of the Week:29:25 AI Tasks for Beginners to Be Cautious OfRapidFire:40:16 OpenAI Releases First Open Source Model Since 201948:33 NotebookLM Upgrade Adds Video Support53:34 AI Companies Report Record EarningsResource LinksIntroduction to Family History AIhttps://tixoom.app/fhaishow/OpenAI GPT-5 Model Cardhttps://openai.com/index/gpt-5-system-card/Introducing study modehttps://openai.com/index/chatgpt-study-mode/ChatGPT Study Mode - FAQhttps://help.openai.com/en/articles/11780217-chatgpt-study-mode-faqClaude Opus 4.1https://www.anthropic.com/news/claude-opus-4-1OpenAI announces two "gpt-oss" open AI modelshttps://arstechnica.com/ai/2025/08/openai-releases-its-first-open-source-models-since-2019/Google's NotebookLM rolls out Video Overviewshttps://techcrunch.com/2025/07/29/googles-notebooklm-rolls-out-video-overviews/Tech bubble going pop: AI pays the price for inflated expectationshttps://www.theguardian.com/commentisfree/article/2024/aug/07/the-guardian-view-on-a-tech-bubble-going-pop-ai-pays-the-price-for-inflated-expectationsIs The AI Bubble About To Burst?https://www.forbes.com/sites/bernardmarr/2024/08/07/is-the-ai-bubble-about-to-burst/Google loses appeal in antitrust battle with Fortnite makerhttps://masslawyersweekly.com/2025/08/06/google-play-monopoly-verdict-epic-games-win/Department of Justice Prevails in Landmark Antitrust Case Against Googlehttps://www.justice.gov/opa/pr/department-justice-prevails-landmark-antitrust-case-against-googleTagsArtificial Intelligence, Technology, Genealogy, Family History, OpenAI, ChatGPT-5, Claude, Large Language Models, AI Learning Tools, Study Mode, Open Source AI, NotebookLM, Video Overviews, AI Reasoning, Context Windows, Hallucination Reduction, GEDCOM Files, Handwritten Transcription, Document Analysis, AI Earnings, Google Antitrust, Apache License, Local AI Processing, Privacy, AI Education, Tutoring Systems, Coding Capabilities, Multilingual Processing, AI Development, Family History Research, Genealogists, AI Tools, Machine Learning

- Discovery of Secret Room in FBI Building (0:11) - Criticism of FBI and Intelligence Agencies (1:24) - Challenges with Burn Bags and Document Destruction (2:48) - Lack of Arrests and Legal Challenges (5:26) - Summary of Document Findings (9:25) - Trump Administration's Legal Strategy (11:54) - Hopes for Mass Arrests (15:08) - Challenges with Power Grid and AI Data Centers (25:17) - Impact of Tariffs on Transformer Supply (46:48) - Future of Energy and Decentralized Solutions (1:09:21) - Introduction of Enoch AI Engine (1:15:24) - Challenges with AI Data and Personal Experiences (1:25:51) - Development and Performance of the AI Engine (1:28:19) - Decentralization and Open-Source AI (1:30:34) - Training Data and AI Capabilities (1:33:59) - Prompt Engineering and AI Applications (1:40:28) - Challenges and Future of AI Development (1:55:27) - Censorship and Regulatory Concerns (1:57:29) - Global AI Competition and Technological Advancements (2:06:23) - Economic and Political Implications of AI (2:18:04) - Geopolitical Shifts and Centralized Power (2:25:24) - Demoralization and Betrayal of American Dream (2:39:28) - Apocalypse Accelerationism and Christian Zionism (2:42:43) - Critique of Religious Institutions and Their Teachings (2:46:44) - Historical Context and Modern Implications (2:49:42) - Cults and Their Influence on Global Events (2:52:32) - The Role of Media and Education in Shaping Perceptions (2:55:27) - The Impact of Religious Supremacy on Global Conflict (3:12:55) - The Role of Individual Actions in Promoting Peace (3:19:24) - The Future of Global Peace and Understanding (3:21:06) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

video: https://youtu.be/abgTchtrH0k On this episode of Destination Linux, we are joined by security expert Craig Rowland returns for the “Sandfly Security Scoop,” explaining how the stealthy BPFdoor back‑door evades firewalls and sharing tips for DEF CON and Black Hat attendees. We also unpack listener feedback about phone‑addiction myths and mindful smartphone use. Then we discuss Moonshot's open‑source Kimi AI model that tackles two‑million‑character prompts and beats proprietary LLM benchmarks, sparking a wider chat about open AI guardrails and Linux's role under the hood. Later, there's some bittersweet news that Intel is discontinuing its performance‑tuned Clear Linux distro, prompting nostalgia and debate over rolling vs. hybrid releases. Our tip of the week highlights a crowd‑sourced Linux guide that demystifies getting started with Ubuntu especially for network engineers. Forum Discussion Thread (https://destinationlinux.net/forum) Download as MP3 (https://aphid.fireside.fm/d/1437767933/32f28071-0b08-4ea1-afcc-37af75bd83d6/17fb8c1f-d90d-4b20-ae21-255561ec5c8b.mp3) Support the show by becoming a patron at tuxdigital.com/membership (https://tuxdigital.com/membership) or get some swag at tuxdigital.com/store (https://tuxdigital.com/store) Hosted by: Ryan (DasGeek) = dasgeek.net (https://dasgeek.net) Jill Bryant = jilllinuxgirl.com (https://jilllinuxgirl.com) Michael Tunnell = michaeltunnell.com (https://michaeltunnell.com) Chapters: 00:00:00 Intro 00:02:18 Community Feedback 00:10:20 Sandfly Security Scoop 00:23:15 Defcon VS Blackhat 00:29:31 OpenSource AI Kimi 00:47:38 Clear Linux OS & Intel's future 01:03:49 Community Tip and Trick 01:09:13 Support the Show 01:12:43 Outro 01:13:07 Post Show Links: Community Feedback https://destinationlinux.net/comments (https://destinationlinux.net/comments) https://destinationlinux.net/forum (https://destinationlinux.net/forum) Sandfly Security Scoop https://destinationlinux.net/sandfly (https://destinationlinux.net/sandfly) https://sandflysecurity.com/blog/sandfly-5-5-ai-powered-analysis-advanced-bpfdoor-detection-and-smarter-scanning (https://sandflysecurity.com/blog/sandfly-5-5-ai-powered-analysis-advanced-bpfdoor-detection-and-smarter-scanning) Defcon VS Blackhat https://defcon.org/ (https://defcon.org/) https://www.blackhat.com/ (https://www.blackhat.com/) OpenSource AI Kimi https://www.kimi.com/ (https://www.kimi.com/) https://huggingface.co/spaces/Jhawley/moonshotai-Kimi-K2-Instruct (https://huggingface.co/spaces/Jhawley/moonshotai-Kimi-K2-Instruct) Clear Linux OS & Intel's future https://community.clearlinux.org/t/all-good-things-come-to-an-end-shutting-down-clear-linux-os/10716 (https://community.clearlinux.org/t/all-good-things-come-to-an-end-shutting-down-clear-linux-os/10716) https://news.itsfoss.com/clear-linux-os-discontinued/ (https://news.itsfoss.com/clear-linux-os-discontinued/) https://www.omglinux.com/intel-clear-linux-os-discontinued-2025/ (https://www.omglinux.com/intel-clear-linux-os-discontinued-2025/) Community Tip and Trick https://rikosintie.github.io/Ubuntu4NetworkEngineers/CH02-Install-Tools/ (https://rikosintie.github.io/Ubuntu4NetworkEngineers/CH02-Install-Tools/) Support the Show https://tuxdigital.com/membership (https://tuxdigital.com/membership) https://store.tuxdigital.com/ (https://store.tuxdigital.com/)

What if the future of journalism isn't locked behind the paywalls of big tech companies, but freely available to every newsroom willing to embrace it?Too often, the conversation around AI in newsrooms centers on big tech, like OpenAI's ChatGPT or Google's Gemini. These are powerful tools, no doubt but they come with caveats: mainly cost, limited transparency, and little to no control over where your data ends up.But there's another world of AI rapidly evolving in parallel and it might be journalism's best path forward: open-source AI.In this episode of Newsroom Robots, host Nikita Roy reconnects with returning guest Florent Daudens, now the Press Lead at Hugging Face, one of the leading platforms powering open source AI. Formerly a newsroom leader driving AI integration at Canada's Radio-Canada, Florent now sits at the heart of the open source AI movement.Key topics include:Why open source AI matters for journalism and how it compares to proprietary modelsThe rise of AI agents and what they mean for editorial control and user experienceHow compressed, privacy-first models running on laptops and phones could change the gameThe environmental cost of AI and how newsrooms can make more sustainable tech choicesWhat news apps might look like in an agent-powered futureHow newsrooms can start experimenting with open source AI (no dev team required)Plus, Florent shares 20 must-know open source AI tools for journalists, explains how writing is building in the age of AI, and discusses why owning the experience, not just the content, will be key to journalism's survivalSign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy. Hosted on Acast. See acast.com/privacy for more information.

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.   In this episode, GitHub CEO Thomas Dohmke joins us for a deep dive into the evolution of software development — from decentralized version control to the rise of AI coding agents. With over 150 million developers on GitHub and tools like Copilot rewriting the rules of software engineering, we explore what it really means to build in an AI-native future.   Thomas shares the origin story of Copilot, how GitHub is shifting from human-to-human to human-to-agent collaboration, and why he believes natural language is becoming the universal programming language. We also cover the technical architecture behind Coding Agents, the feedback loop between developers and AI, and what it takes to scale multi-agent systems in the real world.   Like and subscribe for more!     Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI     (00:00) The Future of AI-Powered Coding (02:04) Thomas Dohmke's Journey (05:16) GitHub's Origin Story & Evolution (08:45) Life Before GitHub: Early Version Control Systems (10:40) What is Git? And Why GitHub Matters (12:36) The Birth of GitHub Copilot (16:17) The Rise of AI Agents (17:52) How Kids Are Learning to Code with Copilot (22:38) Can Non-Coders Use Copilot Agents Effectively? (26:01) What the Coding Agent Actually Does Behind the Scenes (31:30) The Models Behind GitHub Copilot & Developer Choice (35:22) How Much Code Is Now Written by AI? (38:51) GitHub's Innovation Strategy (41:54) What's Next for GitHub (45:24) From 150M to 1B Developers: Empowering the World to Build (47:51) GitHub Universe & Galaxy Events (49:53) GitHub's Innovation Graph and the Power of Open Collaboration

In this episode of Cybersecurity Today, host Jim Love engages in a comprehensive conversation with Krish Banerjee, the Canada Managing Director at Accenture for AI and Data. They delve into the stark difference between perceived and actual preparedness for cybersecurity in the face of growing AI adoption. The discussion spans topics such as the role of AI in enterprise productivity, the need for better data management, and the integration of AI into various business functions. They also explore the importance of digital sovereignty, the challenges and opportunities in Canada's adoption of AI, and how open-source AI can benefit organizations. Krish emphasizes the significance of setting a clear value-driven goal, having the right tools and talent, and the necessity of adopting AI responsibly. The conversation wraps up with insights on how executives can navigate the AI landscape and prepare their organizations for future advancements. 00:00 Introduction to Cybersecurity and AI Concerns 02:10 Interview with Krish Banerjee: AI in Canada 03:17 The Evolution and Impact of AI 06:42 Enterprise AI: Challenges and Opportunities 15:20 Digital Sovereignty and National AI Strategies 25:07 Accelerating Technological Adoption 26:18 Dream Projects in AI 27:49 AI for Healthcare and Commercialization 31:02 The Future of AI and Economic Impact 35:31 Agentic AI: The Next Frontier 41:14 Open Source AI and Democratization 43:23 Advice for Executives and Parents 49:10 Conclusion and Final Thoughts

Welcome to Limitless. Today we're joined by Luke Drago and Rudolf, authors of the powerful essay series "The Intelligence Curse." Together, we explore a future where artificial general intelligence (AGI) threatens to upend the economic and social contracts that underpin modern civilization. Will AI empower us or make us obsolete? We unpack how labor-replacing AI could dismantle the very incentives that once gave rise to liberal democracies, social mobility, and human-centered innovation—and what it might take to build a future worth living in. ------

Ben Brooks, a fellow at Harvard's Berkman Klein Center and former head of public policy for Stability AI, joins Kevin Frazier, AI Innovation and Law Fellow at Texas Law and Contributing Editor at Lawfare, to discuss a sudden and significant shift toward open-sourcing leading AI models and the ramifications of that pivot for AI governance at home and abroad. Ben and Kevin specifically review OpenAI's announced plans to release a new open-weights model.Coverage of OpenAI announcement: https://techcrunch.com/2025/03/31/openai-plans-to-release-a-new-open-language-model-in-the-coming-months/To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.