Podcasts about chinese ai

The rules of career success just changed. Hard skills matter less. Credentials matter less. And playing it safe? That might be the riskiest move of all. Bill Gurley has backed Uber, DoorDash, eBay, and Snap. He's spent 30 years watching who wins and who gets destroyed. In the AI era, that gap is about to become a canyon. In this conversation, Bill breaks down the exact skill stack that makes you anti-fragile: why unbridled determination beats raw intelligence, why salesmanship is the most compounding founder skill nobody talks about, and why the conveyor belt from college to consulting is now the highest-risk career path in existence. You'll learn the Jeff Bezos hiring filter for people who will build something come hell or high water, why AI is a jetpack for the self-directed and a threat to everyone else, how open-source Chinese AI models are a bigger disruption than most realize, and the regret minimization framework Bezos used to decide whether to start Amazon. If you've ever wondered whether you're on the right path — or how to stand out when everyone has access to the same tools — this one will permanently change how you think about winning. Ready to turn your newsletter into your career? Head to https://beehiiv.link/uth844 and use code CODIE30 for 30% off your first three months. Take your personal data back with Incogni! Use code BIGDEAL at the link below and get 60% off an annual plan: https://incogni.com/bigdeal ___________ ___________ MORE FROM BIGDEAL

Anthropic accuses Chinese AI labs of “industrial scale” distillation attacks on its Claude models, and the panel breaks down allegations involving DeepSeek, Moonshot, and MiniMax, 24,000 fraudulent accounts, and 16 million exchanges, as they debate intellectual property theft, Nvidia chip export controls, and whether AI competition with China is now a full-blown national security battle.

The boys are joined by old friend and BKFC legend James Lilley and talk about his wild time fighting in Marbella, meeting Conor McGregor and trying to get a fight on King of the Streets during Covid. James talks about his upcoming UK title fight with Gary Fox, changing his diet to make the 145ln Featherweight limit, finding sparring while working away and getting a helicopter to watch Liverpool at Anfield. The boys talk about the recent boxing drama, Chinese AI, Tourette's at the BAFTA's, Joseph Hapgood being a wild man and Snoop Dogg taking over Swansea plus much more….@ambitioniscritcal1997 on Instagram @TheAiCPodcast on Twitter

This week on Sinica, I speak with Yi-Ling Liu, journalist, former China editor at Rest of World, and author of the new book The Wall Dancers: Searching for Freedom and Connection on the Chinese Internet. Yi-Ling's book traces the arc of Chinese online life through five protagonists — a rapper, a gay rights entrepreneur, a feminist activist, a science fiction writer, and an internet censor — each navigating the creative and constrictive forces of the Chinese internet in their own way. The result is a deeply reported, novelistic account of what it felt like to live, create, and push back in one of the most surveilled and dynamic digital environments on earth. We discuss the book's central metaphor of "dancing in shackles," the early utopian glow of Chinese netizen culture, the parallel fates of hip hop and science fiction under the state's alternating embrace and constraint, and the eerie convergence between the Chinese internet and our own.0:06 — "Wall dancers" as a metaphor: what it captures that "dissident" or "netizen" doesn't0:09 — Why 网民 (wǎngmín) took root in China as a concept of digital citizenship0:13 — The early Chinese internet: more open than we remember, but not as free as the myth suggests0:15 — Ma Baoli: closeted cop to CEO of China's largest gay dating app, and the Gay Talese reporting strategy0:20 — Lan Yu, Beijing Story, and the film that became a coming-out moment for a generation of queer men0:22 — Pragmatism at the heart of the dance: how individuals and the state negotiated the internet together0:28 — Lu Pin and Feminist Voices: from "playing boundary ball" to sudden exile0:35 — Stanley Chen Qiufan and the state's attempt to co-opt science fiction for nationalist ends0:43 — The generational split in Chinese sci-fi: Liu Cixin's cosmic scale vs. the near-future unease of Chen Qiufan and Hao Jingfang0:46 — Hip hop's arc: from underground scenes in Chengdu and Beijing to The Rap of China and sudden constraint0:51 — Eric Liu, the Weibo censor: humanizing the firewall from the inside0:55 — Common prosperity, Wang Huning, and the moral panic behind the crackdown on "effeminate" culture0:59 — Techno-utopianism in retrospect: was the emancipatory internet always a fantasy?1:03 — The convergence of the Chinese and American internets: Weibo and Twitter, TikTok and Oracle1:07 — What it means to be free: how the book expanded Yi-Ling's sense of what freedoms people actually wantPaying it forward: Zeyi Yang, technology reporter at WIRED, and co-author (with Louise Matsakis) of the excellent tech x China newsletter Made in ChinaRecommendations:Yi-Ling: The Loneliness of Sonia and Sunny by Kiran Desai; Machine Decision is Not Final, an anthology of essays on Chinese AI compiled by scholars affiliated with NYU Shanghai.Kaiser: The Coming Storm: Power, Conflict and Warnings from History by Odd Arne Westad (forthcoming); Essays from Pallavi Aiyar's Substack The Global Jigsaw, particularly "How Has China Succeeded in Making People Mind their Manners" and "Why I Would Rather Be Born Chinese than Indian Today."See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On this week's show, Patrick Gray, Adam Boileau and James WIlson discuss the week's cybersecurity news. They cover: Low skill actors compromise 600 Fortinets with AI-generated playbooks Anthropic calls out Chinese AI firms over model distillation Meta's director of AI safety tells her ClawdBot not to delete her mail… so of course it does Peter Williams cops 7 years in jail for selling L3 Harris Trenchant's exploits to Russia Ivanti got hacked in 2021 via… bugs in Ivanti This episode is sponsored by line-rate network capture system Corelight. CEO Brian Dye joins to discuss what AI can do for defenders, and what it can't. This episode is also available on Youtube. Show notes AI-augmented threat actor accesses FortiGate devices at scale "this reads to me like: they ran existing tools.... but with a cool dashboard :D" Anthropic accuses Chinese labs of trying to illicitly take Claude's capabilities | CyberScoop Detecting and preventing distillation attacks Hegseth warns Anthropic to let the military use the company's AI tech as it sees fit, AP sources say Anthropic Rolls Out Embedded Security Scanning for Claude AWS's AI Coding Bot Kiro Caused a 13-Hour Outage Running OpenClaw safely: identity, isolation, and runtime risk Former Adobe, Cisco and Salesforce CISO talks AI pentesting History Repeats: Security in the AI Agent Era Meta Director of AI Safety Allows AI Agent to Accidentally Delete Her Inbox Microsoft says Office bug exposed customers' confidential emails to Copilot AI | TechCrunch The (tangential) fix: Microsoft adds Copilot data controls to all storage locations Ex-L3Harris executive sentenced to 87 months in prison for selling zero-day exploits to Russian broker Treasury Sanctions Exploit Broker Network for Theft and Sale of U.S. Government Cyber Tools Risky Bulletin: Russia starts criminal probe of Telegram founder Pavel Durov Ukraine pushes tighter Telegram regulation, citing Russian recruitment of locals The watchers: how openai, the US government, and persona built an identity surveillance machine that files reports on you to the feds Persona emails customers saying they don't work with ICE or DHS amid ‘surveillance' claims Inside the Fix: Analysis of In-the-Wild Exploit of CVE-2026-21513 Ivanti hacked in 2021 via its own product Fed agencies ordered to patch Dell bug by Saturday after exploitation warning | The Record from Recorded Future News From BRICKSTORM to GRIMBOLT: UNC6201 Exploiting a Dell RecoverPoint for Virtual Machines Zero-Day

Russia launches a criminal probe into Telegram's founder, two teenagers arrested for a South Korean bike share hack, Anthropic accuses Chinese AI firms of distillation attacks, and the US Treasury sanctions a Russian exploit broker. Show notes Risky Bulletin: Russia starts criminal probe of Telegram founder Pavel Durov

Tuesday's A.M. Update tackles fresh media spin on the chairman of the Joint Chiefs supposedly wavering on potential Iran action—prompting President Trump to set the record straight—while the latest Mar-a-Lago security breach draws a characteristically candid response from the president. California Governor Gavin Newsom's attempts to connect with audiences fall flat in revealing ways, as he signals a Democratic shift toward seeming more "culturally normal" ahead of future elections. Amid boycotts of tonight's State of the Union, falling mortgage rates spark mixed economic signals, Chinese firms face accusations of stealing U.S. AI tech secrets, and Robert De Niro's sudden call for unity rings hollow given his past rhetoric. The episode closes with heartfelt gratitude for the administration's focus on angel families, including a new national day of recognition, powerful testimonies from victims' loved ones, and a reminder of the human stakes in securing the border and combating trafficking.   A.M. Update, Aaron McIntire, General Dan Cain Iran, Trump Truth Social, Gavin Newsom SAT gaffe, Democrats State of the Union boycott, mortgage rates drop, Chinese AI theft Anthropic, Robert De Niro unity, Angel Family Day, Lincoln Riley, Tom Homan border, immigration deportations

Did China steal Anthropic's AI powers? Well, that's the shocking bombshell report that Anthropic just dropped. They accused multiple Chinese AI companies of generating more than 16 million exchanges with their models just to try and copy it. We get what you're thinking….. “So. That means cheaper open Chinese models so we all win, right.” Wrong. On this episode of Everyday AI, we break down Anthropic's shocking AI distillation accusations against Chinese firms, what they actually mean, and how they're more impactful outside of just the AI model you choose to use. You might be shocked TBH at the far-reaching implications. China Stealing AI from the U.S.? Inside Anthropic's Bombshell Allegations — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Anthropic Accuses Chinese AI Labs of DistillationDetails on 16 Million Claude Extraction PromptsDeepSeek, Moonshot, MiniMax Named in Anthropic ReportGoogle and OpenAI Cite Similar China AI ThreatsTechnical Explanation of Model Distillation AttacksMarket Impact: MiniMax Surpasses Anthropic in TokensFinancial Consequences for U.S. AI Model ProvidersPolicy and Geopolitical AI Competition AnalysisLimitations of Current Export Controls and SafeguardsU.S. AI Dominance Threatened by Chinese DistillationTimestamps:00:00 "Foreign AI Impact on Tech"04:43 "AI Distillation and Security Threats"07:11 "MiniMax Scandal: Data Theft Allegations"10:33 "Open Router Key Marketplace"15:54 "Smart, Cheap Models Explained"19:31 "AI, IP Theft, and China's Impact"22:44 Big Tech's Data Theft Problem25:37 "Protecting U.S. Tech from Export"27:53 OpenAI Accuses DeepSeq of Misuse33:58 "AI's Global Power Struggle"35:03 "AI Models: What's Next?"Keywords: China AI theft, Anthropic bombshell report, model distillation, Chinese AI labs, DeepSeek, Moonshot AI, MiniMax, Claude capabilities, 16,000,000 prompts, 24,000 fake accounts, OSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and access all episodes there: StartHereSeries.com 

-The US Department of Defense has reportedly reached a deal to use Elon Musk's Grok in its classified systems. That's according to a report by Axios. That follows news that the Pentagon is currently in a dispute with another AI company, Anthropic, over limits on its technology for things like mass surveillance. -Anthropic is issuing a call to action against AI "distillation attacks," after accusing three AI companies of misusing its Claude chatbot. On its website, Anthropic claimed that DeepSeek, Moonshot and MiniMax have been conducting "industrial-scale campaigns…to illicitly extract Claude's capabilities to improve their own models." -Bungie isn't taking any prisoners when it comes to cheating on its upcoming extraction shooter, Marathon. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Jim Love hosts Hashtag Trending, and highlights updates to TechNewsDay.ca/.com including a new "Best of YouTube" section for curated tech channels. Anthropic alleges three Chinese AI labs—DeepSeek, Moonshot, and MiniMax—ran industrial-scale distillation campaigns to extract capabilities from Claude models using proxy services and "Hydra cluster" networks with tens of thousands of fraudulent accounts, prompting Anthropic to strengthen identity controls and detection with cloud partners.  Amazon shares fall for nine straight sessions after investors react to plans for roughly $200B in 2026 capex largely for AI infrastructure, raising questions about ROI and future free cash flow. A cited analysis by YouTuber Nate B Jones argues Google's Gemini 3.1 Pro signals a strategy shift toward deeper reasoning (not just coding/agentic tools), noting a 77.1% ARC-AGI-2 score and DeepMind's scientific problem focus, contrasting OpenAI's product/distribution, Anthropic's agentic coordination, and Google's "pure intelligence" approach. The episode also references Citri Research's 2028 scenario planning report outlining a plausible fast-arriving AGI chain reaction—falling inference costs, rapid adoption, labor displacement pressure, and geopolitical competition for compute and talent—and promotes the Saturday show Project Synapse on long-term AI trajectories. Finally, Love discusses Sam Altman's comments at the India AI Impact Summit dismissing viral claims about ChatGPT water and energy use without providing specific counter-numbers, noting growing public backlash as data center water and electricity demands rise; the full interview is linked in show notes. 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 LINKS Nate B Jones on Google Gemimi 3.1  https://youtu.be/8jKAT8GNDE0?si=Rz5k1gP0sS9H7XAp Sam Altman's speach https://www.youtube.com/live/qH7thwrCluM?si=IO_76NsGJ1zgt8J7 AI Scenario https://www.citriniresearch.com/p/2028gic 00:00 Headlines and intro 00:54 Site updates and YouTube picks 01:57 Anthropic warns of distillation 04:58 Amazon AI spending jitters 06:13 Google bets on reasoning 10:31 2028 AGI crisis scenario 11:55 Altman backlash and resources 14:17 Wrap up and sponsor thanks

Anthropic accuses DeepSeek, Moonshot, and MiniMax of using 24,000 fake accounts to distill Claude's AI capabilities, as U.S. officials debate export controls aimed at slowing China's AI progress. Learn more about your ad choices. Visit podcastchoices.com/adchoices

P.M. Edition for Feb. 23. U.S. stocks were down today after the latest tariff moves over the weekend, while U.S. business leaders are scrambling to figure out what this means for them. We hear from reporter Chip Cutter about the questions they have and how they're trying to address them. Plus, Anthropic has accused three Chinese AI companies of using its Claude model to improve their own systems. WSJ reporter Robert McMillan discusses why Anthropic says that's a threat to national security… and its business. And the Pentagon is flagging risks of a major operation against Iran to President Trump. Alex Ossola hosts. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Anthropic drops Sonnet 4.6 with a million-token context window and major gains in computer use, coding, and agentic workflows at a dramatically lower price point—immediately reshaping the economics of OpenClaw-style agents. Meanwhile, Grok 4.2 enters public beta with a multi-agent debate system and promises rapid weekly improvement, and Apple ramps up AI wearables. In the headlines: Apple's AI glasses push, Spotify engineers stop writing code by hand, Meta commits to millions of Nvidia GPUs, Chinese AI price wars, and a possible SaaS rebound. Want to build with OpenClaw?LEARN MORE ABOUT CLAW CAMP: ⁠⁠https://campclaw.ai/⁠⁠Or for enterprises, check out: ⁠⁠https://enterpriseclaw.ai/⁠⁠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/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace Technology - Build, test and scale intelligent workloads faster with Rackspace AI Launchpad - ⁠⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠https://blitzy.com/⁠⁠⁠Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/insights/agents-in-action/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/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 another electrifying episode of Impact Theory with Tom Bilyeu. On today's live show, Tom Bilyeu dives headfirst into headline-grabbing global events—from Russia's surprising economic overtures towards the US dollar to the Netherlands' controversial new tax policies and their potential impact on the world economy. Joined by Amjad Massad, the two unpack monumental shifts between the US, Russia, and China, explore the accelerating disruption from AI, and dissect the latest political intrigue—including eyebrow-raising developments around the Epstein files. As always, expect sharp commentary, deep-dive analysis, and a bit of gallows humor to lighten the mood. Whether you're here for actionable economic insights or just curious how the future might unfold in an AI-driven age, this episode promises to challenge your thinking and keep you on your toes. Plus, you'll meet Ryan, the behind-the-scenes wizard responsible for the show's dynamic clips. Strap in—the world order is shifting fast, and Tom Bilyeu and his guests are here to help you make sense of it, one headline at a time. What's up, everybody? It's Tom Bilyeu here: If you want my help... STARTING a business: join me here at ZERO TO FOUNDER:  https://tombilyeu.com/zero-to-founder?utm_campaign=Podcast%20Offer&utm_source=podca[%E2%80%A6]d%20end%20of%20show&utm_content=podcast%20ad%20end%20of%20show SCALING a business: see if you qualify here.:  https://tombilyeu.com/call Get my battle-tested strategies and insights delivered weekly to your inbox: sign up here.: https://tombilyeu.com/ ********************************************************************** If you're serious about leveling up your life, I urge you to check out my new podcast, Tom Bilyeu's Mindset Playbook —a goldmine of my most impactful episodes on mindset, business, and health. Trust me, your future self will thank you. ********************************************************************** FOLLOW TOM: Instagram: https://www.instagram.com/tombilyeu/ Tik Tok: https://www.tiktok.com/@tombilyeu?lang=en Twitter: https://twitter.com/tombilyeu YouTube: https://www.youtube.com/@TomBilyeu Quince: Free shipping and 365-day returns at https://quince.com/impactpodShopify: Sign up for your one-dollar-per-month trial period at https://shopify.com/impactKetone IQ: Visit https://ketone.com/IMPACT for 30% OFF your subscription orderIncogni: Take your personal data back with Incogni! Use code IMPACT at the link below and get 60% off an annual plan: https://incogni.com/impactBlocktrust IRA: Get up to $2,500 funding bonus to kickstart your account at https://tomcryptoira.comAquaTru: 20% off your purifier with code IMPACT https://aquatru.com Netsuite: Right now, get our free business guide, Demystifying AI, at https://NetSuite.com/TheoryPique: 20% off at https://piquelife.com/impact Cape: 33% off your first 6 months with code IMPACT at https://cape.co/impact Plaud: Get 10% off with code TOM10 at https://plaud.ai/tom Russia reembracing the US dollar, de-dollarization, BRICS, Ukraine peace deal, US-Russia economic partnership, fossil fuels cooperation, natural gas investments, critical raw materials, global trade settlement, US financial hegemony, AI-driven world order, China vs US power dynamic, currency sanctions, Kremlin internal memo, gold reserves, yuan reserve currency, Marco Rubio sanctions comments, Bloomberg news, Kamala Harris unrealized gains tax, Netherlands wealth tax proposal, unrealized capital gains, Dutch Box 3 reform, startup tax exemptions, private company shares taxation, tax-free thresholds, economic inequality, AI automation of white-collar jobs, professional tasks automation, open source AI models, Chinese AI technology, welfare state expansion Learn more about your ad choices. Visit megaphone.fm/adchoices

OpenAI beschuldigt de Chinese AI-ontwikkelaar DeepSeek ervan op oneerlijke wijze technologie van Amerikaanse AI-bedrijven te gebruiken. Volgens de maker van ChatGPT zou DeepSeek systematisch gebruikmaken van antwoorden van Amerikaanse chatbots om het eigen model te verbeteren. Dat heeft de ChatGPT-maker aangekaart bij het Amerikaanse Huis van Afgevaardigden. Volgens OpenAI draait het om een techniek die bekendstaat als ‘distillation’. Daarbij wordt een krachtig, groot taalmodel gebruikt om een kleiner model te trainen. Dat gebeurt door grote hoeveelheden gegenereerde antwoorden als trainingsdata in te zetten. Die methode is in de AI-wereld niet nieuw, maar OpenAI stelt dat DeepSeek zonder toestemming output van Amerikaanse modellen heeft gebruikt. Het bedrijf zegt accounts te hebben geïdentificeerd die gelinkt zijn aan DeepSeek-medewerkers, waarmee deze methode zou zijn toegepast. OpenAI waarschuwt dat de technieken steeds geavanceerder en moeilijker te detecteren worden. Volgens het bedrijf raakt dit niet alleen henzelf, maar ondermijnt het het concurrentievermogen van de hele Amerikaanse AI-sector. DeepSeek zorgde vorig jaar nog voor opschudding in de AI-markt. Het bedrijf presenteerde een relatief goedkoop, maar opvallend krachtig model dat volgens kenners dicht in de buurt kwam van de prestaties van Amerikaanse concurrenten. De snelle kwaliteitsverbetering van Chinese modellen voedt al langer de discussie over technologische concurrentie tussen de VS en China. Verder in deze Tech Update met Stijn Goossens: De Europese Commissie onderzoekt of Google de prijzen van online advertenties kunstmatig hoog houdt, wat in strijd zou zijn met de EU-concurrentieregels. Als dat wordt bewezen, kan de boete oplopen tot 10% van de wereldwijde jaaromzet, terwijl het onderzoek nog in een vroege fase zit en Google stelt dat prijzen via realtime veilingen tot stand komen. Terwijl veel bedrijven instapbanen schrappen door AI, wil IBM juist drie keer meer jonge medewerkers aannemen voor werk dat AI minder goed kan uitvoeren, zoals mens- en klantgericht werk. Tegelijk waarschuwde Mustafa Suleyman van Microsoft dat veel kantoorbanen binnen anderhalf jaar geautomatiseerd kunnen worden. Zometeen in De Schaal van Hebben: Sony WF-1000XM6 See omnystudio.com/listener for privacy information.

Aaannddd…. Right on time here come the Chinese AI models. Elon Musk kicks off a major reorg of xAI. Google is warning of AI distillation attacks. New Waymo cars hit the road. And another interesting AI essay to read to you. Chinese AI startup Zhipu releases new flagship model GLM-5 (Reuters) Musk announces xAI re-org following co-founder departures, SpaceX merger (CNBC) Elon Musk Wants to Build an A.I. Satellite Factory on the Moon (NYTimes) Google says attackers used 100,000+ prompts to try to clone AI chatbot Gemini (NBCNews) Waymo begins deploying next-gen Ojai robotaxis to extend its U.S. lead (CNBC) The AI Vampire (Steve Yegge) Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Decouple, Chris sits down with Kyle Chan of the High Capacity Substack to unpack what “AI with Chinese characteristics” actually means. Rather than framing artificial intelligence as a simple US–China race to AGI, they explore how each country is building AI inside very different institutional systems. The conversation covers DeepSeek, compute constraints, quantization, and the surprising reality that many Chinese AI labs operate with far less capital than their American counterparts while still publishing at the frontier.They dig into China's AI enabling stack, from universities and state-backed labs to energy buildout and the Western Data, Eastern Compute strategy, and examine how AI is being embedded into manufacturing, logistics, grid management, and public services as a tool of state capacity. The discussion also tackles regulatory differences, CCP oversight, training data controls, and the disciplining of China's tech sector, alongside contrasts with US AI development shaped by venture capital, platform economics, and liability management. This is a deep dive into how institutions shape technology, and why the real story may not be who wins the race, but how AI is absorbed into two very different political economies.Listen to Decouple on:• Spotify: https://open.spotify.com/show/6PNr3ml8nEQotWWavE9kQz• Apple Podcasts: https://podcasts.apple.com/us/podcast/decouple/id1516526694?uo=4• Overcast: https://overcast.fm/itunes1516526694/decouple• Pocket Casts: https://pca.st/ehbfrn44• RSS: https://anchor.fm/s/23775178/podcast/rssWebsite: https://www.decouple.media

AI isn't just coming from Silicon Valley anymore. A growing number of startups — and companies like Airbnb — are turning to Chinese open-source AI models instead of US-based APIs. Not because it's trendy. Because it's cheaper, more flexible, and often good enough. In this episode, Sophia Matveeva speaks with Alex Hern, AI correspondent at The Economist, about what's driving this shift. They break down how DeepSeek disrupted the market, why constraints fueled smarter engineering, and what founders can realistically try today if they want more AI options without more spend. Alex Hern is The Economist's AI Writer, focusing on the science and technology of artificial intelligence. Before joining the paper, he covered technology for 11 years at The Guardian, where he was the UK technology editor. In this episode, you will hear: Why relying on US AI APIs may be quietly limiting your product and your margins How Chinese open-source models let founders experiment, customize, and ship faster without runaway costs The real reason DeepSeek shocked Silicon Valley — and what it reveals about building under constraints What you can realistically try today if you want AI leverage without an AI-sized budget Free AI Mini-Workshop for Non-Technical Founders Learn how to go from idea to a tested product using AI — in under 30 minutes. Get free access here: techfornontechies.co/aiclass Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review" then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com Let them know we sent you. For the full transcript, go to https://www.techfornontechies.co/blog/290-why-airbnb-switched-from-openai-to-chinese-ai-and-what-it-means-for-your-budget  

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So, have you hit the ads in ChatGPT yet, cause they're there. Spotify comes out of nowhere with killer good earnings. The coming tidal wave of Chinese AI launches. The coming deluge of social media trials. And does AI usage reduce the amount of work you do, or actually compound it? OpenAI begins testing ads in ChatGPT (Mashable) Spotify Shares Surge After Adding Record Number of New Users (Bloomberg) Alibaba, Tencent, and ByteDance Offer AI Red Packets to Lure Users (Bloomberg) New Mexico lawsuit accuses Meta of failing to protect children from sexual exploitation online (AP) AI Doesn't Reduce Work, It Intensifies It (HBR) Learn more about your ad choices. Visit megaphone.fm/adchoices

Meredith's Husband shares recent AI developments, including a piece of advice from Sam Altman, ChatGPT's personalization updates, and concerns about safety issues at OpenAI. He reviews alternative AI models including Google Gemini 3.0's impressive benchmarks, Amazon's new releases, and explains why Claude remains his preferred choice due to Anthropic's transparency and ethical approach to AI development.Timestamps: [0:00] Introduction [0:42] Sam Altman's quote on AI and jobs [1:06] ChatGPT's new customization features [2:15] Safety concerns and lawsuits against ChatGPT [4:50] Google Gemini 3.0 benchmarks and performance [6:32] Amazon's entry into AI models [7:16] Chinese AI models and international competition [7:44] Claude and Anthropic's transparent approach [8:14] Anthropic's AI safety testing example [10:12] Claude's real-time project updates [11:24] Choosing AI tools based on ethics -- CONTACTLeave Feedback or Request Topics:https://forms.gle/bqxbwDWBySoiUYxL7

Communication is the backbone of every military operation. How well our forces talk to each other across air, land, sea and space is what sets the American military apart from everyone else. Without communication leaders can't lead, and militaries can't win. From the Global Special Operations Symposium in Athens, Greece, Fran Racioppi sat down with Dr. Lisa Costa, a leading technologist, former Chief Information Officer for U.S. Special Operations Command, and the first Chief Technology and Innovation Officer for the U.S. Space Force, to discuss how innovation, cyber, and modernization are reshaping Special Operations across all domains.Dr. Costa brings decades of experience at the crossroads of defense, technology, and strategic innovation. From running one of the Department of Defense's largest IT enterprises supporting elite global SOF operations to spearheading digital transformation efforts in the Space Force, she has helped architect the future of how our forces fight, communicate, and adapt.She addressed the evolving threat landscape, including cyber attacks, space domain challenges and why staying ahead through technology, data, and innovation is no longer optional. She emphasized the importance of agility, integration, and forward-thinking capability as the bedrock of a modern force ready for tomorrow's missions.This discussion is about building advantage through technology, strengthening alliances across domains, and protecting America by ensuring the force evolves with the threat.Highlights0:00 Introduction1:36 Welcome to GSOF Europe3:15 USSOCOM CIO & Space Force's CTIO6:02 Communications Evolution8:51 DoD Civilian Workforce13:43 Special Operations LSCO16:41 SOF Space Cyber Triad19:24 The Space Battlefield22:17 Lunar South Pole24:35 War Today26:18 Combatting misinformation28:38 Defining AI30:22 Human in the loop31:33 Guardrailing AI Weaponization34:06 Advancing Time to Technology35:48 Citizen Based37:06 Ground Level Innovation40:46 Buying Commercial Resources45:10 The Next BattlefieldQuotes“I might be the only person wearing both a SOCOM and Space Force pin.” “Communications is absolutely critical.” “It has gone from big bulky equipment to a binary signal.” “Civilians are part of the force.” “I look at SOF as the tool and capability to prevent us going to war.”“The best battle space is the one we never have to put a boot into.” “There is not even a position, navigation, and timing capability on the lunar surface.” “Is it the person who discovered it or the person who gets there first?”“We're fighting for data.”“It's not there because we're using AI.”“I do not define AI as just Large Language Models.”“There are going to be mission specific incidents where AI is going to have to be trusted to make that decision.”“Don't sign up for Chinese AI.”“Operation Spiderweb was one pilot to every drone. That is not scalable.”“It's going to have to take everyone.”“It comes down to the operational planners that are doing that risk assessment.”“I believe that we will rely greatly on commercial assets.”“There are areas of space that we have not taken advantage of.”“I hope that the future of the battle space is much more cognitive.”“I always put the operator in charge of a project, not a PhD.”“Always prepare for the next unknown mission.”Follow the Jedburgh Podcast and the Green Beret Foundation on social media. Listen on your favorite podcast platform, read on our website, and watch the full video version on YouTube as we show why America must continue to lead from the front, no matter the challenge.

【欢迎订阅】每天早上5:30，准时更新。【阅读原文】标题：Chinese AI is a risk for Europe. So is shunning itEspecially now that America is becoming a less reliable partner正文： On January 20th 2025 DeepSeek was an obscure hedge-fund-turned-tech-startup from Hangzhou. Within a week it had become the byword for a new wave of Chinese innovation, after launching an artificial-intelligence model as capable as Silicon Valley's bleeding edge but much cheaper to build and run. Having slugged it out in China's cutthroat domestic market over the past year, DeepSeek and its homespun rivals are looking abroad for profits. They will not find the largest ones in America, increasingly out of geopolitical bounds, or the poorer global south. That leaves Europe as the likely recipient of their attention.知识点：shun v. /ʃʌn/to deliberately avoid or keep away from something. 回避；避开e.g. She shuns social media to focus on her studies. 她避开社交媒体，以专注于学习。获取外刊的完整原文以及精讲笔记，请关注微信公众号「早安英文」，回复“外刊”即可。更多有意思的英语干货等着你！【节目介绍】《早安英文-每日外刊精读》，带你精读最新外刊，了解国际最热事件：分析语法结构，拆解长难句，最接地气的翻译，还有重点词汇讲解。所有选题均来自于《经济学人》《纽约时报》《华尔街日报》《华盛顿邮报》《大西洋月刊》《科学杂志》《国家地理》等国际一线外刊。【适合谁听】1、关注时事热点新闻，想要学习最新最潮流英文表达的英文学习者2、任何想通过地道英文提高听、说、读、写能力的英文学习者3、想快速掌握表达，有出国学习和旅游计划的英语爱好者4、参加各类英语考试的应试者（如大学英语四六级、托福雅思、考研等）【你将获得】1、超过1000篇外刊精读课程，拓展丰富语言表达和文化背景2、逐词、逐句精确讲解，系统掌握英语词汇、听力、阅读和语法3、每期内附学习笔记，包含全文注释、长难句解析、疑难语法点等，帮助扫除阅读障碍。

For Huang Xiaozhen, the future of artificial intelligence isn't about computing power or algorithmic scale, but about something far more ordinary: the quiet click of a light switch.在黄晓真看来，人工智能的未来并不取决于算力规模或算法复杂度，而在于更为日常、甚至平凡的场景——比如轻轻按下电灯开关的那一刻。As head of business-to-business operations at MiniMax Group Inc, a rising Chinese AI unicorn, Huang sees the current wave of innovation less as a technological leap than as a transition toward being ubiquitous.作为中国新晋人工智能独角兽企业MiniMax集团的B端业务负责人，黄晓真认为，当下这股创新浪潮与其说是一场技术飞跃，不如说是一次走向“无处不在”的转变。"As the technology iterates, AI will become like water, electricity or coal — the fundamental infrastructure of our existence," Huang said. "It will be everywhere in our lives and work."黄晓真表示：“随着技术不断迭代，人工智能将像水、电、煤一样，成为支撑我们生存与发展的基础性基础设施，它将无处不在，融入我们的生活与工作之中。”The vision widely shared by AI optimists has increasingly aligned with the nation's official policy.这一在人工智能乐观主义者中广泛流行的愿景，正日益与国家层面的官方政策形成高度契合。In its recommendations for formulating the 15th Five-Year Plan (2026-30) for national economic and social development, the Communist Party of China Central Committee called for "forward-looking plans" for future industries, urging exploration of diverse technology road maps, application scenarios, business models and regulatory frameworks.在关于制定国民经济和社会发展第十五个五年规划（2026—2030年）的建议中，中共中央提出要对未来产业进行“前瞻性布局”，并鼓励探索多样化的技术路线、应用场景、商业模式和监管框架。The document explicitly listed quantum technology, biomanufacturing, hydrogen and nuclear fusion energy, brain-computer interfaces, embodied artificial intelligence and 6G mobile communications as new drivers of growth.该文件明确将量子技术、生物制造、氢能与核聚变能源、脑机接口、具身人工智能以及6G移动通信等列为新的增长动能。The confidence of China's AI practitioners received a major boost in April 2025, when President Xi Jinping visited the Shanghai Foundation Model Innovation Center, one of the country's most active AI hubs.2025年4月，习近平主席考察上海大模型创新中心——这一全国最为活跃的人工智能集聚区之一，中国人工智能从业者的信心由此大幅提振。Standing among developers and entrepreneurs, Xi, who is also general secretary of the CPC Central Committee, described artificial intelligence as "a young cause, and a cause for young people", encouraging them to align personal ambition with China's modernization drive.在开发者和创业者中间，习近平总书记将人工智能形容为“一项年轻的事业，也是一项属于年轻人的事业”，并鼓励大家将个人理想追求融入中国式现代化进程之中。According to the Ministry of Industry and Information Technology, China had more than 6,000 AI enterprises last year, while the scale of the country's core AI industry was expected to have exceeded 1.2 trillion yuan ($172.6 billion) in 2025.工业和信息化部数据显示，去年我国人工智能企业数量已超过6000家，2025年核心人工智能产业规模预计突破1.2万亿元人民币（约合1726亿美元）。The president's visit, combined with subsequent policy measures, has strengthened confidence among startups facing intense competition, according to executives working inside the ecosystem.多位业内高管表示，总书记的考察以及随后出台的一系列政策举措，显著增强了在激烈竞争环境中奋战的初创企业信心。Zhang Yun, a deputy general manager at the center, said the visit validated the pace and direction of the hub's development.该中心副总经理张云表示，此次考察充分肯定了创新中心的发展节奏和方向。"Nearly 75 percent of our workforce is under the age of 35," Zhang said. "We're seeing founders who are barely 30. As AI tools become more powerful, teams are getting smaller, younger and faster."张云说：“我们团队中近75%的员工年龄在35岁以下，一些创始人甚至刚满30岁。随着人工智能工具能力不断增强，团队正呈现出规模更小、成员更年轻、反应更迅速的趋势。”The center operates on what participants describe as a philosophy of proximity. "Upstairs and downstairs are upstream and downstream," Zhang said, referring to the close physical clustering of foundational model developers and application companies, which allows for rapid iteration and feedback.该中心运行秉持着参与者所称的“近距离协同”理念。张云解释说：“楼上楼下就是上下游”，基础模型研发团队与应用企业在物理空间上的高度集聚，使快速迭代和反馈成为可能。Yao Zhendi, CEO of Cyber Partner AI Co, said the youthfulness of the sector reflects the nature of the technological challenge itself."We're no longer doing 'one to 10' innovation, where you just improve something that already exists," Yao said.上海魂伴科技有限责任公司首席执行官姚振迪表示，该行业的年轻化正是技术挑战本身特性的体现。“我们不再是做‘一到十'的创新，只是在原有基础上改进。”他说。"We're doing 'zero to one'. There's no formula and no homework to copy. We're defining what this technology becomes."“我们做的是‘从零到一'。既没有公式可循，也没有作业可抄，而是在定义这项技术最终会成为什么。”He added that national planning documents emphasize not only AI, but the integration of embodied intelligence across industries, with a forward-looking approach to development.他补充指出，国家规划文件强调的不只是人工智能本身，还包括具身智能在各行业中的融合应用，并以前瞻性视角推动相关发展。Over the next five years, he said, AI is expected to penetrate daily life and a wide range of sectors in line with the 15th Five-Year Plan.他表示，未来五年，在“十五五”规划指引下，人工智能有望深入渗透日常生活和多个产业领域。His company is working on the convergence of the "brain", meaning large-scale models, and the "body", referring to embodied intelligence — a frontier where software meets robotics.其公司正致力于推动“脑”（即大模型）与“身体”（即具身智能）的融合，这一前沿领域正是软件与机器人技术的交汇点。Paradigm shift范式转变The national strategy outlined in the 15th Five-Year Plan proposals calls for a paradigm shift in scientific research and a focus on self-reliance in breakthroughs in chips, algorithms and data.“十五五”规划建议所勾勒的国家战略，呼吁科研范式发生转变，并将重点放在芯片、算法和数据等关键领域的自主突破上。For Wang Le, CEO of Shanghai SiliconPear Technology Co, the transformation is already playing out on factory floors and toy shelves.对上海喜梨信息科技有限公司首席执行官王乐而言，这一转型已在工厂车间和玩具货架上悄然展开。Wang's company exports to more than 30 countries and uses AI to upgrade traditional manufacturing.王乐的公司产品出口至30多个国家，并通过人工智能技术推动传统制造业升级。"We're turning toys from simple manufactured goods into high-tech consumer products," Wang said."It's no longer just about branding. It's about embedding technology to upgrade the entire supply chain, which gives Chinese products a distinct global competitive edge."王乐表示：“我们正在把玩具从简单的制造品转变为高科技消费品。这已经不只是品牌问题，而是通过技术嵌入实现整个供应链的升级，从而赋予中国产品独特的全球竞争优势。”Xi's visit to the Shanghai Foundation Model Innovation Center came after he presided over a group study session of the Political Bureau of the CPC Central Committee, highlighting the need to promote the healthy and orderly development of AI in a beneficial, safe and fair direction.习近平考察上海大模型创新中心之前，曾主持中共中央政治局集体学习，强调要推动人工智能朝着有益、安全、公平方向健康有序发展。Huang, from MiniMax, said that companies across the AI value chain are directly feeling the impact of State support. From his perspective, policies aimed at supporting models and application scenarios are accelerating innovation and technical iteration across the industry.MiniMax的黄晓真表示，人工智能产业链各环节企业正切身感受到国家支持带来的影响。在他看来，围绕模型和应用场景的政策扶持，正在加速全行业的创新和技术迭代。"It's clear that more and more enterprises, scenarios and applications are moving toward AI," Huang said. "Many new startups are designing products and use cases based entirely on current AI capabilities. This looks more like a society-wide embrace of AI, and the growth of the entire industry chain is extremely fast."他说：“可以清楚地看到，越来越多的企业、场景和应用正在向人工智能靠拢。许多新创公司完全基于现有AI能力来设计产品和应用场景，这更像是一场全社会层面的AI拥抱，整个产业链的增长速度极其迅猛。”Zhou Chen, CEO of Zhejiang Dex-Robot Intelligent Technology, said Xi has explicitly called for accelerating the application of AI in technological innovation and industrial development, a signal that Zhou sees as materially beneficial for enterprises.浙江灵巧智能科技有限公司首席执行官周晨表示，习近平明确提出要加快人工智能在科技创新和产业发展中的应用，这一信号对企业而言具有实实在在的利好意义。He pointed to concrete policy measures such as subsidized computing power and pilot programs for new models. China launched a 60 billion yuan AI industry investment fund to support the development of the whole AI industrial chain.他指出，诸如算力补贴、新模型试点项目等具体政策措施正在落地实施。同时，中国还设立了规模达600亿元人民币的人工智能产业投资基金，用于支持整个AI产业链发展。"They allow companies to be bold and try things first," Zhou said."Ultimately, it helps improve human efficiency and reduce defect rates in manufacturing."周晨表示：“这些政策让企业可以大胆探索、先行先试，最终有助于提升人效、降低制造业缺陷率。”Zhou cited incentives including free or subsidized computing resources, early access to models, and funding for major research projects as mechanisms that encourage companies to experiment.周晨列举了多项激励机制，包括免费或补贴算力资源、提前接入模型以及重大科研项目资金支持，这些都有效鼓励企业开展探索性实践。He argued that China has structural advantages in pursuing such technologies: a complete industrial supply chain, a wide range of real-world application scenarios that generate data, and growing domestic computing capacity.他认为，中国在发展相关技术方面具备结构性优势，包括完备的产业链体系、能够持续产生数据的丰富现实应用场景，以及不断提升的本土算力能力。While much of the focus remains on domestic self-reliance, officials and researchers say China's AI ambitions also have an outward-facing dimension.尽管当前重点仍放在国内自主可控上，但多位官员和研究人员指出，中国的人工智能发展目标同样具有面向国际的外向维度。International public good国际公共产品Yan Weixin, chief scientist at the Shanghai Artificial Intelligence Research Institute, said Xi has called for AI to be developed as an international public good that benefits humanity.上海人工智能研究院首席科学家闫维新表示，习近平提出要将人工智能打造为造福全人类的国际公共产品。Yan said China has launched initiatives related to AI reinforcement learning and sustainable development, and has begun sharing algorithms and models with partner countries, including those participating in the Belt and Road Initiative.闫维新介绍称，中国已启动多项与人工智能强化学习和可持续发展相关的倡议，并开始与包括共建“一带一路”国家在内的合作伙伴共享算法和模型。These technologies are being applied to areas such as disaster warning systems and low-carbon industrial facilities overseas, he said.他说，这些技术已在海外被应用于灾害预警系统和低碳工业设施等领域。Highlighting the link between energy and computation, he said: "AI consumes energy, and energy defines computing power. In the future, there will be deep integration between new energy and dynamic computing."他强调能源与计算之间的关联指出：“人工智能消耗能源，而能源决定算力。未来，新能源与动态计算之间将实现深度融合。”Otto Heinrich Herzog, an academician of the German National Academy of Science and Engineering and a professor at Tongji University in Shanghai, said he has been struck by the speed with which policies translate into implementation in China.德国国家科学与工程院院士、同济大学教授奥托·海因里希·赫尔佐格表示，中国政策从制定到落地实施的速度给他留下了深刻印象。"When something aligns with strategy in China, it really gets implemented," Herzog said. "That's something you don't experience in the same way in Europe."赫尔佐格说：“在中国，只要一项举措符合国家战略，就会真正被执行落实。这是在欧洲难以同样体会到的。”forward-looking /ˌfɔːwəd ˈlʊkɪŋ/前瞻性的embodied artificial intelligence /ɪmˈbɒdid ˌɑːtɪˈfɪʃəl ɪnˈtɛlɪdʒəns/具身人工智能value chain /ˈvæljuː tʃeɪn/价值链pilot program /ˈpaɪlət ˈprəʊɡræm/试点项目dynamic computing /daɪˈnæmɪk kəmˈpjuːtɪŋ/动态计算

I think we have to gird ourselves for a slew of Chinese AI releases in the coming weeks. Are AI inspired layoffs poised to sweep the tech industry? Meta goes with subscriptions. Uber wants to train AI for others. And Dario Amodei has a pretty stark warning about AI. China's Moonshot Unveils AI Model Ahead of DeepSeek Release (Bloomberg) Pinterest laying off 15% of workforce in push toward AI roles and teams (CNBC) TikTok says a power outage caused a 'cascading systems failure' that messed up its algorithm (BusinessInsider) Meta to test premium subscriptions on Instagram, Facebook, and WhatsApp (TechCrunch) Uber launches an ‘AV Labs' division to gather driving data for robotaxi partners (TechCrunch) Thread On The Amodei Essay @aakashgupta Learn more about your ad choices. Visit megaphone.fm/adchoices

The launch of China's DeepSeek AI tool a year ago sent shockwaves through US markets and Silicon Valley. But now Chinese AI tech is being used by more and more US companies. Our North America Technology Correspondent, Lily Jamali, tells us about it.Also this week: shoppers in Denmark are using mobile phone apps to boycott some goods from overseas. And we road-test an exoskeleton taking the physical effort out of long outdoor walks.Presenter: Shiona McCallum Producer: Tom Quinn(Image: An image of a mobile phone displaying the DeepSeek name and logo on the screen. In the background are flags of China and the United States of America. Credit: Reuters.)

On this episode of China Manufacturing Decoded, Adrian is joined by Kate, who leads the supply chain management team at The Sophist Group, to unpack her top takeaways from CES 2026. Kate reports on the scale of the show, who was there, and what matters for product teams, developers and manufacturing leaders.   Episode Sections: 01:00 – CES 2026 overview: scale, attendance & significance Kate gives headline numbers: attendance, international visitors, exhibitors, and why this was the biggest post-pandemic CES. 02:19 – Why CES still matters: networking & deal-making CES is positioned as a major networking event for hardware companies, startups, and partners. 02:57 – Surge of Chinese exhibitors at CES Kate explains the sharp increase in Chinese suppliers and how Eureka Park has changed. 03:55 – Eureka Park explained & why it matters What Eureka Park is, why it's important, and how it differs from the main convention halls. 04:36 – Humanoid robots emerge as the biggest trend Robotics numbers, China's dominance, and the rise of affordable humanoid robots. 05:09 – Real-world humanoid robot capabilities Examples of shipping models, pricing, applications, and programmability. 06:36 – From viral clips to serious industrial AI Discussion of public misconceptions vs what was actually demonstrated at CES. 07:31 – Physical AI & China's hardware advantag Why China excels at turning AI concepts into physical products quickly and cheaply. 08:16 – Regulation risks & trade considerations Concerns about regulation, drones, and geopolitical limits when using Chinese AI hardware.  09:01 – Western tech giants respond (chips, OS, industrial AI) NVIDIA, Siemens, Qualcomm, and others building humanoid and robotics ecosystems.  10:06 – Edge AI & on-device intelligence Shift toward low-power, on-device AI for privacy, speed, and autonomy.  11:08 – Other global players at CES France, Korea, Hong Kong, and their strengths across AI, mobility, health tech, and industry.  13:04 – Fun tech, tracking & wearables everywhere Smart collars, VR Lego, transparent displays, health tracking, and elder-care tech.  14:49 – AI in smart manufacturing & formulation AI-assisted production, cosmetics, materials mixing, and industrial applications.  15:51 – Manufacturing strategy discussions at CES Conversations with exhibitors about shifting production out of China — and back again.  16:28 – Why companies return to China for early runs Speed, ecosystem depth, prototyping, and complex AI electronics remain China's edge.  17:11 – Hybrid manufacturing strategies Starting in China, then diversifying later once scale and risk justify it.  18:09 – Tariffs, uncertainty & predictability Why geopolitical volatility elsewhere makes China comparatively predictable for many US firms.  19:38 – Final takeaways: manufacturing is mathematics No single recipe — strategy depends on product, scale, cost, and risk.  20:03 – Wrap-up & Sofeast support Adrian summarizes, invites listeners to get in touch, and closes the episode.    Related content… Best of CES 2026 - The Verge 7 Crazy Robots at CES 2026 Get in touch with us Connect with us on LinkedIn Contact us via Sofeast's contact page Subscribe to our YouTube channel Prefer Facebook? Check us out on FB

Episode 144Happy New Year! This is one of my favorite episodes of the year — for the fourth time, Nathan Benaich and I did our yearly roundup of AI news and advancements, including selections from this year's State of AI Report.If you've stuck around and continue to listen, I'm really thankful you're here. I love hearing from you.You can find Nathan and Air Street Press here on Substack and on Twitter, LinkedIn, and his personal site. Check out his writing at press.airstreet.com.Find me on Twitter (or LinkedIn if you want…) for updates on new episodes, and reach me at editor@thegradient.pub for feedback, ideas, guest suggestions.Outline* (00:00) Intro* (00:44) Air Street Capital and Nathan world* Nathan's path from cancer research and bioinformatics to AI investing* The “evergreen thesis” of AI from niche to ubiquitous* Portfolio highlights: Eleven Labs, Synthesia, Crusoe* (03:44) Geographic flexibility: Europe vs. the US* Why SF isn't always the best place for original decisions* Industry diversity in New York vs. San Francisco* The Munich Security Conference and Europe's defense pivot* Playing macro games from a European vantage point* (07:55) VC investment styles and the “solo GP” approach* Taste as the determinant of investments* SF as a momentum game with small information asymmetry* Portfolio diversity: defense (Delian), embodied AI (Syriact), protein engineering* Finding entrepreneurs who “can't do anything else”* (10:44) State of AI progress in 2025* Momentous progress in writing, research, computer use, image, and video* We're in the “instruction manual” phase* The scale of investment: private markets, public markets, and nation states* (13:21) Range of outcomes and what “going bad” looks like* Today's systems are genuinely useful—worst case is a valuation problem* Financialization of AI buildouts and GPUs* (14:55) DeepSeek and China closing the capability gap* Seven-month lag analysis (Epoch AI)* Benchmark skepticism and consumer preferences (”Coca-Cola vs. Pepsi”)* Hedonic adaptation: humans reset expectations extremely quickly* Bifurcation of model companies toward specific product bets* (18:29) Export controls and the “evolutionary pressure” argument* Selective pressure breeds innovation* Chinese companies rushing to public markets (Minimax, ZAI)* (21:30) Reasoning models and test-time compute* Chain of thought faithfulness questions* Monitorability tax: does observability reduce quality?* User confusion about when models should “think”* AI for science: literature agents, hypothesis generation* (23:53) Chain of thought interpretability and safety* Anthropomorphization concerns* Alignment faking and self-preservation behaviors* Cybersecurity as a bigger risk than existential risk* Models as payloads injected into critical systems* (27:26) Commercial traction and AI adoption data* Ramp data: 44% of US businesses paying for AI (up from 5% in early 2023)* Average contract values up to $530K from $39K* State of AI survey: 92% report productivity gains* The “slow takeoff” consensus and human inertia* Use cases: meeting notes, content generation, brainstorming, coding, financial analysis* (32:53) The industrial era of AI* Stargate and XAI data centers* Energy infrastructure: gas turbines and grid investment* Labs need to own models, data, compute, and power* Poolside's approach to owning infrastructure* (35:40) Venture capital in the age of massive GPU capex* The GP lives in the present, the entrepreneur in the future, the LP in the past* Generality vs. specialism narratives* “Two or 20”: management fees vs. carried interest* Scaling funds to match entrepreneur ambitions* (40:10) NVIDIA challengers and returns analysis* Chinese challengers: 6x return vs. 26x on NVIDIA* US challengers: 2x return vs. 12x on NVIDIA* Grok acquired for $20B; Samba Nova markdown to $1.6B* “The tide is lifting all boats”—demand exceeds supply* (44:06) The hardware lottery and architecture convergence* Transformer dominance and custom ASICs making a comeback* NVIDIA still 90–95% of published AI research* (45:49) AI regulation: Trump agenda and the EU AI Act* Domain-specific regulators vs. blanket AI policy* State-level experimentation creates stochasticity* EU AI Act: “born before GPT-4, takes effect in a world shaped by GPT-7”* Only three EU member states compliant by late 2025* (50:14) Sovereign AI: what it really means* True sovereignty requires energy, compute, data, talent, chip design, and manufacturing* The US is sovereign; the UK by itself is not* Form alliances or become world-class at one level of the stack* ASML and the Netherlands as an example* (52:33) Open weight safety and containment* Three paths: model-based safeguards, scaffolding/ecosystem, procedural/governance* “Pandora's box is open”—containment on distribution, not weights* Leak risk: the most vulnerable link is often human* Developer–policymaker communication and regulator upskilling* (55:43) China's AI safety approach* Matt Sheehan's work on Chinese AI regulation* Safety summits and China's participation* New Chinese policies: minor modes, mental health intervention, data governance* UK's rebrand from “safety” to “security” institutes* (58:34) Prior predictions and patterns* Hits on regulatory/political areas; misses on semiconductor consolidation, AI video games* (59:43) 2026 Predictions* A Chinese lab overtaking US on frontier (likely ZAI or DeepSeek, on scientific reasoning)* Data center NIMBYism influencing midterm politics* (01:01:01) ClosingLinks and ResourcesNathan / Air Street Capital* Air Street Capital* State of AI Report 2025* Air Street Press — essays, analysis, and the Guide to AI newsletter* Nathan on Substack* Nathan on Twitter/X* Nathan on LinkedInFrom Air Street Press (mentioned in episode)* Is the EU AI Act Actually Useful? — by Max Cutler and Nathan Benaich* China Has No Place at the UK AI Safety Summit (2023) — by Alex Chalmers and Nathan BenaichResearch & Analysis* Epoch AI: Chinese AI Models Lag US by 7 Months — the analysis referenced on the US-China capability gap* Sara Hooker: The Hardware Lottery — the essay on how hardware determines which research ideas succeed* Matt Sheehan: China's AI Regulations and How They Get Made — Carnegie EndowmentCompanies Mentioned* Eleven Labs — AI voice synthesis (Air Street portfolio)* Synthesia — AI video generation (Air Street portfolio)* Crusoe — clean compute infrastructure (Air Street portfolio)* Poolside — AI for code (Air Street portfolio)* DeepSeek — Chinese AI lab* Minimax — Chinese AI company* ASML — semiconductor equipmentOther Resources* Search Engine Podcast: Data Centers (Part 1 & 2) — PJ Vogt's two-part series on XAI data centers and the AI financing boom* RAAIS Foundation — Nathan's AI research and education charity Get full access to The Gradient at thegradientpub.substack.com/subscribe

From Netflix's massive $480 million bet on Stranger Things to a four-year-old "invisible" song dethroning Taylor Swift overnight, TOPAgency.com CEO Ben Kaplan deconstructs the week culture moved faster than the boardroom.We're double-checking the ROI on $8M Super Bowl ads and diving into how a "cheap" Chinese AI model just undercut OpenAI by 50x. Is "Made in China" the new premium in AI, or a race to the bottom?Featuring:The Joe Keery Effect: How the Stranger Things finale created a global #1 hit from a 2022 "side hustle."Streaming Math: Why $60M per episode is actually a bargain for Netflix retention.The DeepSeek Disruption: Can a $300k Chinese model actually beat billions in Silicon Valley R&D?NVIDIA vs. Tesla: Why Wall Street just picked the "platform" over the "product" at CES.The Dictator's Hoodie: How American brand Origin turned Nicolas Maduro's arrest into a masterclass in real-time marketing.Jonas Brothers vs. AI: Why the future of "real" advertising might mean ditching the algorithms.Watch on YouTube at: ⁠https://www.youtube.com/@branded-podcastFollow on TikTok at: http://tiktok.com/@top_agencyGet the merch at: ⁠https://store.nationaltoday.com/

Oxfam report shows billionaire wealth surged in 2025: The case for expropriation / Support grows for general strike in Minneapolis, as Trump escalates ICE terror campaign / One year after DeepSeek, Chinese AI surges

It's been one year since Chinese AI developer DeepSeek released an experimental large language model that shocked the tech world with its advanced capabilities, despite strict chip import restrictions. WSJ Senior Global Correspondent Josh Chin and Oxford Analytica technology analyst Tatia Bolkvadze discuss how China's AI prowess has only grown in the past twelve months, something that is now challenging Silicon Valley's pricing power, and becoming a bone of contention in the U.S.-China trade war. Luke Vargas hosts. Further Reading:  The AI Cold War That Will Redefine Everything China's Alibaba Links Qwen AI App to Vast Consumer Ecosystem The Row Over South Korea's Push for a Native AI Model: Chinese Code China's DeepSeek Unveils New AI Model That Could Halve Usage Cost Silicon Valley Is Raving About a Made-in-China AI Model Chinese AI Developers Say They Can't Beat America Without Better Chips Learn more about your ad choices. Visit megaphone.fm/adchoices

Today on the AI Daily Brief, why AI leadership is shifting decisively to the CEO—and why that shift is happening now as AI moves from experimentation to core enterprise strategy. Drawing on new survey data, the episode explores what happens when AI becomes recession-proof, ROI timelines pull forward, and agentic systems start reshaping organizations at scale. Before that, in the headlines: Replit pushes vibe coding all the way to mobile app stores, Higgsfield rockets to unicorn status on explosive growth, Thinking Machines Labs faces a wave of high-profile departures, and DeepMind's Demis Hassabis warns that Chinese AI models are now only months behind the frontier. 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/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zencoder - From vibe coding to AI-first engineering - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://zencoder.ai/zenflow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Optimizely Opal - The agent orchestration platform build for marketers - ⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/theaidailybrief⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/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

Charles Schwab's Michelle Gibley talks about the state of global trading. He details surprising growth of China's trade surplus and optimism surrounding Chinese AI innovation. Michelle notes TSMC (TSM) as a key driver behind tech optimism across the globe. She also assesses the European market, particularly Germany, where fiscal stimulus aims to boost a lagging economy.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Can you pitch yourself as a responsible global stakeholder at the same time as running a $1.2 trillion trade surplus? That's China's big global macro play, and it's one that Neil Shearing thinks China is going to struggle to pull off. The Group Chief Economist of Capital Economics is on The Weekly Briefing to explain what that mammoth trade imbalance means for advanced and emerging economies in a fracturing global economy, including why some EMs are doing quite well as a result of all of the geoeconomic ructions.Also on the show, there's an awful lot of noise around the race for AI leadership between the US and China, but how to separate out the hype from the reality? China Economist Leah Fahy's new report sizes up the progress that Chinese AI has made since the launch of DeepSeek a year ago, and the impact that Beijing's race for tech supremacy will have on the country's economic outlook.Six non-consensus calls for China for 2026China's AI rollout could rival the USDrop-In: The shape of the fractured world in 2026The economic and market impact of AI

Microsoft is out with a new plan to reduce consumers' electricity costs from data centers. And as domestic U.S. pushback against data centers grows, Chinese AI is seeing growing adoption across the world. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We're live outside the courthouse as Venezuela's Maduro and his wife are arraigned in Manhattan. How should investors be thinking about geopolitical risks? Then the impact for the energy markets and how oil and energy companies could react. Plus, the Chinese AI IPO pipeline remains red hot. How the debut of new companies impacts global competition with CES kicking off in Las Vegas. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Een nieuw #nerdland maandoverzicht! Met deze maand: Snotdrone! Spionage! Gletsjers! Mosasaurus! Ratten & Doom! Biervaccins! Romeins cement! Fossiele kots! Shownotes: https://podcast.nerdland.be/nerdland-maandoverzicht-januari-2026/ Gepresenteerd door Lieven Scheire met Peter Berx, Jeroen Baert, Kurt Beheydt, Natha Kerkhofs en Toon Verlinden. Opname & montage door Jesse Maes. (00:00:00) Intro (00:01:44) Drone verzamelt walvissnot voor aanwijzingen over de gezondheid van Noordatlantische walvissen (00:06:15) Drone ontdekt mogelijk dodelijk virus onder walvissen (00:08:36) Eerste glimp van donkere materie gezien? Japanse astronoom claimt grote ontdekking (00:14:14) Nieuwe publicatie van Melanie During: King of the Riverside (00:21:10) Hoeveel gletsjers overleven tot het einde van de eeuw? (00:29:23) Hoe zou het nog zijn met 3I ATLAS? (00:33:45) Bewijs voor verbeterde DNA-reparatie bij de langlevende walvissoort (00:41:55) USA legt inreisverbod op aan deze vijf tech-activisten (00:48:08) Dress rehearsel voor Artemis II (00:50:02) Zeer futuristische bolvormige robotdrones vliegen rond in ISS (00:52:00) ISS-bemanning wisselt, lanceerbasis in Kazachstan bezwijkt (00:52:51) Russische kosmonaut Oleg Artemyev mag niet mee op SpaceX-missie na verboden foto's tijdens training in VS (00:55:19) Zuid-Korea bouwt ultra-robuuste robot om maangrotten te verkennen (00:56:41) Webb stuit op bizarre, citroenvormige exoplaneet rond pulsar (01:01:45) SILICON VALLEY NEWS (01:01:57) Zuckerberg geeft Metaverse officieel op (01:08:26) Disney bouwt Olaf-robot die in Disneyland kan rondlopen (01:11:13) Eyeroll krantenkop van de maand: humanoid robot bestuurd door ChatGPT schiet op een mens (01:14:27) Man programmeert robot om op handen en voeten te lopen voor Halloween-horror-effect (01:15:35) Dit filmpje van een robot die basketbal speelt is extreem indrukwekkend (01:16:46) Figure-humanoidrobotten hebben 11 maanden gewerkt bij BMW (01:18:42) Rechtszaak tegen Figure robots voor te grote veiligheidsrisico's (01:20:29) LG lanceert volgende week op CES huisrobot om rotklussen voor je op te knappen (01:23:13) Parasitaire mierensoort zet werksters aan om eigen koningin te vermoorden (01:31:21) Nieuwe pterosaurus ontdekt in plas fossiele kots (01:35:23) RAM wordt duurder (01:38:58) Computer gemaakt van border collies (01:40:01) Googles AI verwijdert volledige harde schijf van gebruiker, en excuseert zich daarna met veel dramatiek (01:42:14) ChatGPT wil het wel maar kan het technisch niet (01:45:15) Over vibe coding (01:49:34) Chinese AI app voor vibe coding in China (01:52:08) De Doom-spelende ratten zijn terug en hebben nu leren schieten (01:54:24) Vulkaanuitbarsting veroorzaakte 'vlinder-effect' dat tot de Zwarte Dood leidde (01:59:02) Wetenschapper ontwikkelt vaccin dat kan toegediend worden via bier (02:03:50) Onverwachte val van vliegtuig in Mexico waarschijnlijk veroorzaakt door computerfout door kosmische straling (02:10:30) Snavels van Californische kolibries zijn evolutionair veranderd door vogelvoederbuisjes (02:14:04) Pompeihuis in renovatie onthult geheimen van Romeins cement (02:19:30) RECALL Chimpansees verschillen geen 2 maar 14 procent van mensen DNA (02:21:08) De ticketverkoop van Nerdland voor Kleine Nerds 2026 is VANDAAG gestart! (02:22:36) Tickets voor Nerdland Festival zijn ook al beschikbaar! (02:23:49) Nerdland boeken, kalenders, sweaters, T-shirts en zelfs mutsen (02:24:19) Nerdland Talks (02:28:51) Lieven UK tour (02:29:08) SPONSOR Ray & Jules

What would you do if someone offered you $1 billion for your six-person startup? Jordanian-American founder Amjad Masad said no—and today, Replit is worth $3 billion. In this episode, we break down his gutsy decision and Marc Andreessen's game-changing advice. Plus: dealmaker Amanda Staveley reveals why Gulf sovereign funds won't be buying more Premier League clubs (and what they're doing instead), and Abu Dhabi Investment Authority places a $65M bet on Chinese AI startup MiniMax—despite it losing half a billion dollars a year. From billion-dollar rejections to shifting investment strategies, here's everything happening in Arab business and tech. Newsletter: aug.us/4jqModrWhatsApp: aug.us/40FdYLUInstagram: aug.us/4ihltzQTiktok: aug.us/4lnV0D8Smashi Business Show (Mon-Friday): aug.us/3BTU2MY

Meta secures Manus in $2 billion Chinese AI heist, grabbing diffusion optimization wizards. Manus datasets enhance Meta's recommendation and safety systems immediately. Strategic move hedges geopolitical AI fragmentation risks.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we break down Meta's acquisition of Singapore-based startup Manus AI for $2 billion, what this means for AI agents, and how it fits into Meta's broader AI strategy. We explore why this deal matters and what it could signal for the future of AI assistants in consumer and enterprise products.Try Delve: https://delve.co/Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, Stewart Alsop sits down with Joe Wilkinson of Artisan Growth Strategies to talk through how vibe coding is changing who gets to build software, why functional programming and immutability may be better suited for AI-written code, and how tools like LLMs are reshaping learning, work, and curiosity itself. The conversation ranges from Joe's experience living in China and his perspective on Chinese AI labs like DeepSeek, Kimi, Minimax, and GLM, to mesh networks, Raspberry Pi–powered infrastructure, decentralization, and what sovereignty might mean in a world where intelligence is increasingly distributed. They also explore hallucinations, AlphaGo's Move 37, and why creative “wrongness” may be essential for real breakthroughs, along with the tension between centralized power and open access to advanced technology. You can find more about Joe's work at https://artisangrowthstrategies.com and follow him on X at https://x.com/artisangrowth.Check out this GPT we trained on the conversationTimestamps00:00 – Vibe coding as a new learning unlock, China experience, information overload, and AI-powered ingestion systems05:00 – Learning to code late, Exercism, syntax friction, AI as a real-time coding partner10:00 – Functional programming, Elixir, immutability, and why AI struggles with mutable state15:00 – Coding metaphors, “spooky action at a distance,” and making software AI-readable20:00 – Raspberry Pi, personal servers, mesh networks, and peer-to-peer infrastructure25:00 – Curiosity as activation energy, tech literacy gaps, and AI-enabled problem solving30:00 – Knowledge work superpowers, decentralization, and small groups reshaping systems35:00 – Open source vs open weights, Chinese AI labs, data ingestion, and competitive dynamics40:00 – Power, safety, and why broad access to AI beats centralized control45:00 – Hallucinations, AlphaGo's Move 37, creativity, and logical consistency in AI50:00 – Provenance, epistemology, ontologies, and risks of closed-loop science55:00 – Centralization vs decentralization, sovereign countries, and post-global-order shifts01:00:00 – U.S.–China dynamics, war skepticism, pragmatism, and cautious optimism about the futureKey InsightsVibe coding fundamentally lowers the barrier to entry for technical creation by shifting the focus from syntax mastery to intent, structure, and iteration. Instead of learning code the traditional way and hitting constant friction, AI lets people learn by doing, correcting mistakes in real time, and gradually building mental models of how systems work, which changes who gets to participate in software creation.Functional programming and immutability may be better aligned with AI-written code than object-oriented paradigms because they reduce hidden state and unintended side effects. By making data flows explicit and preventing “spooky action at a distance,” immutable systems are easier for both humans and AI to reason about, debug, and extend, especially as code becomes increasingly machine-authored.AI is compressing the entire learning stack, from software to physical reality, enabling people to move fluidly between abstract knowledge and hands-on problem solving. Whether fixing hardware, setting up servers, or understanding networks, the combination of curiosity and AI assistance turns complex systems into navigable terrain rather than expert-only domains.Decentralized infrastructure like mesh networks and personal servers becomes viable when cognitive overhead drops. What once required extreme dedication or specialist knowledge can now be done by small groups, meaning that relatively few motivated individuals can meaningfully change communication, resilience, and local autonomy without waiting for institutions to act.Chinese AI labs are likely underestimated because they operate with different constraints, incentives, and cultural inputs. Their openness to alternative training methods, massive data ingestion, and open-weight strategies creates competitive pressure that limits monopolistic control by Western labs and gives users real leverage through choice.Hallucinations and “mistakes” are not purely failures but potential sources of creative breakthroughs, similar to AlphaGo's Move 37. If AI systems are overly constrained to consensus truth or authority-approved outputs, they risk losing the capacity for novel insight, suggesting that future progress depends on balancing correctness with exploratory freedom.The next phase of decentralization may begin with sovereign countries before sovereign individuals, as AI enables smaller nations to reason from first principles in areas like medicine, regulation, and science. Rather than a collapse into chaos, this points toward a more pluralistic world where power, knowledge, and decision-making are distributed across many competing systems instead of centralized authorities.

Plus: Shares of Chinese AI chip startup MetaX skyrocket on their first day of trading. And California gives Tesla 90 days to change its Autopilot advertising. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week we talk about NVIDIA, AI companies, and the US economy.We also discuss the US-China chip-gap, mixed-use technologies, and export bans.Recommended Book: Enshittification by Cory DoctorowTranscriptI've spoken about this a few times in recent months, but it's worth rehashing real quick because this collection of stories and entities are so central to what's happening across a lot of the global economy, and is also fundamental, in a very load-bearing way, to the US economy right now.As of November of 2025, around the same time that Nvidia, the maker of the world's best AI-optimized chips at the moment became the world's first company to achieve a $5 trillion market cap, the top seven highest-valued tech companies, including Nvidia, accounted for about 32% of the total value of the US stock market.That's an absolutely astonishing figure, as while Nvidia, Apple, Microsoft, Alphabet, Amazon, Broadcom, and Meta all have a fairly diverse footprint even beyond their AI efforts, a lot of that value for all of them is predicated on expected future income; which is to say, their market caps, their value according to that measure, is determined not by their current assets and revenue, but by what investors think or hope they'll pull in and be worth in the future.That's important to note because historically the sorts of companies that have market caps that are many multiples of their current, more concrete values are startups; companies in their hatchling phase that have a good idea and some kind of big potential, a big moat around what they're offering or a blue ocean sub-industry with little competition in which they can flourish, and investment is thus expected to help them grow fast.These top seven tech companies, in contrast, are all very mature, have been around for a while and have a lot of infrastructure, employees, expenses, and all the other things we typically associated with mature businesses, not flashy startups with their best days hopefully ahead of them.Some analysts have posited that part of why these companies are pushing the AI thing so hard, and in particular pushing the idea that they're headed toward some kind of generally useful AI, or AGI, or superhuman AI that can do everyone's jobs better and cheaper than humans can do them, is that in doing so, they're imagining a world in which they, and they alone, because of the costs associated with building the data centers required to train and run the best-quality AI right now, are capable of producing basically an economy's-worth of AI systems and bots and machines operated by those AI systems.In other words, they're creating, from whole cloth, an imagined scenario in which they're not just worthy of startup-like valuations, worthy of market caps that are tens or hundreds of times their actual concrete value, because of those possible futures they're imagining in public, but they're the only companies worthy of those valuation multiples; the only companies that matter anymore.It's likely that even if this is the case, that the folks in charge of these companies, and the investors who have money in them who are likely to profit when the companies grow and grow, actually do believe what they're telling everyone about the possibilities inherent in building these sorts of systems.But there also seems to be a purely economic motive for exaggerating a lot and clearing out as much of the competition as possible as they grow bigger and bigger. Because maybe they'll actually make what they're saying they can make as a result of all that investment, that exuberance, but maybe, failing that, they'll just be the last companies standing after the bubble bursts and an economic wildfire clears out all the smaller companies that couldn't get the political relationships and sustaining cash they needed to survive the clear-out, if and when reality strikes and everyone realizes that sci-fi outcome isn't gonna happen, or isn't gonna happen any time soon.What I'd like to talk about today is a recent decision by the US government to allow Nvidia to sell some of its high-powered chips to China, and why that decision is being near-universally derided by those in the know.—In early December 2025, after a lot of back-and-forthing on the matter, President Trump announced that the US government will allow Nvidia, which is a US-based company, to export its H200 processors to China. He also said that the US government will collect a 25% fee on these sales.The H200 is Nvidia's second-best chip for AI purposes, and it's about six-times as powerful as the H20, which is currently the most advanced Nvidia chip that's been cleared for sale to China. The Blackwell chip that is currently Nvidia's most powerful AI offering is about 1.5-times faster than the H200 for training purposes, and five-times faster for AI inferencing, which is what they're used for after a model is trained, and then it's used for predictions, decisions, and so on.The logic of keeping the highest-end chips from would-be competitors, especially military competitors like China, isn't new—this is something the US and other governments have pretty much always done, and historically even higher-end gaming systems like Playstation consoles have been banned for export in some cases because the chips they contained could be repurposed for military things, like plucking them out and using them to guide missiles—Sony was initially unable to sell the Playstation 2 outside of Japan because it needed special permits to sell something so militarily capable outside the country, and it remained unsellable in countries like Iraq, Iran, and North Korea throughout its production period.The concern with these Nvidia chips is that if China has access to the most powerful AI processors, it might be able to close the estimated 2-year gap between US companies and Chinese companies when it comes to the sophistication of their AI models and the power of their relevant chips. Beyond being potentially useful for productivity and other economic purposes, this hardware and software is broadly expected to shape the next generation of military hardware, and is already in use for all sorts of wartime and defense purposes, including sophisticated drones used by both sides in Ukraine. If the US loses this advantage, the thinking goes, China might step up its aggression in the South China Sea, potentially even moving up plans to invade Taiwan.Thus, one approach, which has been in place since the Biden administration, has been to do everything possible to keep the best chips out of Chinese hands, because that would ostensibly slow them down, make them less capable of just splurging on the best hardware, which they could then use to further develop their local AI capabilities.This approach, however, also incentivized the Chinese government to double-down on their own homegrown chip industry. Which again is still generally thought to be about 2-years behind the US industry, but it does seem to be closing the gap rapidly, mostly by copying designs and approaches used by companies around the world.An alternative theory, the one that seems to be at least partly responsible for Trump's about-face on this, is that if the US allows the sale of sufficiently powerful chips to China, the Chinese tech industry will become reliant on goods provided by US companies, and thus its own homegrown AI sector will shrivel and never fully close that gap. If necessary the US can then truncate or shut down those shipments, crippling the Chinese tech industry at a vital moment, and that would give the US the upper-hand in many future negotiations and scenarios.Most analysts in this space no longer think this is a smart approach, because the Chinese government is wise to this tactic, using it itself all the time. And even in spaces where they have plenty of incoming resources from elsewhere, they still try to shore-up their own homegrown versions of the same, copying those international inputs rather than relying on them, so that someday they won't need them anymore.The same is generally thought to be true, here. Ever since the first Trump administration, when the US government started its trade war with China, the Chinese government has not been keen on ever relying on external governments and economies again, and it looks a lot more likely, based on what the Chinese government has said, and based on investments across the Chinese market on Chinese AI and chip companies following this announcement, that they'll basically just scoop up as many Nvidia chips as they can, while they can, and primarily for the purpose of reverse-engineering those chips, speeding up their gap-closing with US companies, and then, as soon as possible, severing that tie, competing with Nvidia rather than relying on it.This is an especially pressing matter right now, then, because the US economy, and basically all of its growth, is so completely reliant on AI tech and the chips that are allowing that tech to move forward.If this plan by the US government doesn't pan out and ends up being a short-term gain situation, a little bit of money earned from that 25% cut the government takes, and Ndvidia temporarily enriching itself further through Chinese sales, but in exchange both entities give up their advantage, long term, to Chinese AI companies and the Chinese government, that could be bad not just for AI companies around the world, which could be rapidly outcompeted by Chinese alternatives, but also all economies exposed to the US economy, which could be in for a long term correction, slump, or full-on depression.Show Noteshttps://www.nytimes.com/2025/12/09/us/politics/trump-nvidia-ai-chips-china.htmlhttps://arstechnica.com/tech-policy/2025/12/us-taking-25-cut-of-nvidia-chip-sales-makes-no-sense-experts-say/https://www.pcmag.com/news/20-years-later-how-concerns-about-weaponized-consoles-almost-sunk-the-ps2https://archive.is/20251211090854/https://www.reuters.com/world/china/us-open-up-exports-nvidia-h200-chips-china-semafor-reports-2025-12-08/https://theconversation.com/with-nvidias-second-best-ai-chips-headed-for-china-the-us-shifts-priorities-from-security-to-trade-271831https://www.economist.com/business/2025/12/09/donald-trumps-flawed-plan-to-get-china-hooked-on-nvidia-chipshttps://www.scmp.com/tech/tech-trends/article/3335900/chinas-moore-threads-unveil-ai-chip-road-map-rival-nvidias-cuda-systemhttps://www.investopedia.com/nvidia-just-became-the-first-usd5-trillion-company-monitor-these-crucial-stock-price-levels-11839114https://aventis-advisors.com/ai-valuation-multiples/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

Today I'm joined by the founder of Detrans.AI, an innovative chatbot and data tool designed to amplify the perspectives of detransitioners. A young web developer from Wellington, New Zealand, Peter shares how his journey began with trying to understand a loved one, and how his search for answers led him to discover the largely silenced stories of those with transition regret.We dive deep into the technical and ethical decisions Peter made while building Detrans.ai, including his choice to use a Chinese AI model (Kimi K2) to avoid the pro-gender ideology bias baked into Western AI systems like ChatGPT. Peter walks us through the site's powerful data visualizations, which reveal striking patterns: the peak ages for transition and detransition, the gender differences in why people transition (with autogynephilia prominent for males and internalized misogyny for females), and perhaps most importantly—that proper psychotherapy is the number one factor leading to detransition for females.We explore how parents and questioning individuals can use this tool, the social backlash Peter has faced for creating it, and why dismantling the "born this way" narrative is essential for protecting young people experiencing gender distress. This conversation offers hope that ethical therapists are beginning to step forward and that tools like Detrans.ai can help bridge the gap between concerned parents and the truth about what's really driving the gender crisis.Peter James Steven is a developer and designer from Wellington, New Zealand. He recently developed a sited called detrans.ai to promote the experiences and perspectives of detransitioners. Detrans.ai is primarily a chatbot that deconstructs gender concepts and to promotes holistic, non-medical approaches to healing gender distress. It integrates knowledge from the /r/detrans subreddit, which is the largest open collection of detrans experiences on the internet. Follow him on X @pjamessteven.[00:00:00] Start[00:03:45] Why the "Born This Way" Narrative Is Toxic[00:09:30] Building AI Without Gender Ideology Bias[00:17:45] The 5000% Increase in Gender Dysphoria Referrals[00:27:30] Analyzing 2,700 Detransitioner Stories[00:35:00] Male vs Female Transition Reasons Compared[00:42:32] What Actually Causes People to Detransition[00:49:27] Tour of the Detrans.ai Platform[00:57:45] Debunking Common Gender Ideology Myths[01:02:35] Message to Detransitioners and Closing ThoughtsROGD REPAIR Course + Community gives concerned parents instant access to over 120 lessons providing the psychological insights and communication tools you need to get through to your kid. Now featuring 24/7 personalized AI support implementing the tools with RepairBot! Use code SOMETHERAPIST2025 to take 50% off your first month.PODCOURSES: use code SOMETHERAPIST at LisaMustard.com/PodCoursesTALK TO ME: book a meeting.PRODUCTION: Looking for your own podcast producer? Visit PodsByNick.com and mention my podcast for 20% off your initial services.SUPPORT THE SHOW: subscribe, like, comment, & share or donate.Watch NO WAY BACK: The Reality of Gender-Affirming Care. Use code SOMETHERAPIST to take 20% off your order.MUSIC: Thanks to Joey Pecoraro for our song, “Half Awake,” used with gratitude & permission.ALL OTHER LINKS HERE. To support this show, please leave a rating & review on Apple, Spotify, or wherever you get your podcasts. Subscribe, like, comment & share via my YouTube channel. Or recommend this to a friend!Learn more about Do No Harm.Take $200 off your EightSleep Pod Pro Cover with code SOMETHERAPIST at EightSleep.com.Take 20% off all superfood beverages with code SOMETHERAPIST at Organifi.Check out my shop for book recommendations + wellness products.Show notes & transcript provided with the help of SwellAI.Special thanks to Joey Pecoraro for our theme song, “Half Awake,” used with gratitude and permission.Watch NO WAY BACK: The Reality of Gender-Affirming Care (our medical ethics documentary, formerly known as Affirmation Generation). Stream the film or purchase a DVD. Use code SOMETHERAPIST to take 20% off your order. Follow us on X @2022affirmation or Instagram at @affirmationgeneration.Have a question for me? Looking to go deeper and discuss these ideas with other listeners? Join my Locals community! Members get to ask questions I will respond to in exclusive, members-only livestreams, post questions for upcoming guests to answer, plus other perks TBD. ★ Support this podcast on Patreon ★

DeepSeek's Security Backdoors — Jack Burnham — Burnham reports that the Chinese AI model DeepSeekgenerates code containing severe security vulnerabilities when queried regarding Chinese Communist Party-sensitive topics including Tibet, Xinjiang, and Taiwan, demonstrating that the model contains embedded political surveillance and control mechanisms. Burnham characterizes DeepSeek as possessing a "split personality": technical competence in general programming tasks combined with sophisticated political filtering and censorship capabilities. Burnhamrecommends urgent prohibition of such Chinese AI models from American critical infrastructure, government systems, and defense networks due to inherent security risks and embedded espionage capabilities. 1956

PREVIEW — Jack Burnham — The Hidden Dangers of Chinese AI Deep Seek. John Batchelor speaks with Jack Burnham, a senior research analyst at the Foundation for Defense of Democracy, regarding the Chinese artificial intelligence model Deep Seek. Burnham warns that despite public claims regarding the software's cost efficiency and technical effectiveness, Deep Seek functions strategically as a "back door" providing Chinese leadership direct access to American users' data, devices, and computational infrastructure, posing profound national security risks including potential espionage, intellectual property theft, and surveillance capabilities that exceed publicly disclosed functionalities. 1942

Zixuan Li is Director of Product and genAI Strategy at Z.ai (also known as Zhipu 智谱 AI). The release of their benchmark-topping flagship model, GLM 4.5, was akin to “another DeepSeek moment,” in the words of Nathan Lambert. Our conversation today covers… What sets Z.ai apart from other Chinese models, including coding, role-playing capabilities, and translations of cryptic Chinese internet content, Why Chinese AI companies chase recognition from Silicon Valley thought leaders, The role of open source in the Chinese AI ecosystem, Fears of job loss and the prevalence of AI pessimism in China, How Z.ai trains its models, and what capabilities the company is targeting next. Co-hosting today are Irene Zhang, long-time ChinaTalk analyst, as well as Nathan Lambert of the Interconnects Substack. Follow Z.ai on X: https://x.com/Zai_org Learn more about your ad choices. Visit megaphone.fm/adchoices

A.M. Edition for Nov. 13. The U.S. government is back in business, but as WSJ's Ken Thomas explains, don't expect things to run at full tilt just yet. Plus, Democrats release a tranche of new emails from Jeffrey Epstein, in which the late financier discussed Donald Trump. And, WSJ's Stu Woo details how a Chinese AI company worked around U.S. rules to access Nvidia's highly coveted chips. Caitlin McCabe hosts. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dan Nathan and Deirdre Bosa discuss recent developments in the tech and AI sectors on the Risk Reversal podcast. Deirdre returns after a three-month maternity leave to a significantly changed market landscape, with the NASDAQ up 14% and the S&P 500 up 10%. The conversation focuses on the rapid growth and potential bubbles in the AI market, including emerging threats from Chinese AI models and the competition between leading tech companies like Nvidia, Google, AMD, and OpenAI. They also explore specific deals, such as Apple's new arrangement with Google to power Siri and Snap's collaboration with Perplexity. The episode touches on the economic impact of AI, the ongoing US-China AI race, and investor sentiments. The upcoming challenges and opportunities in the AI sector, both in the US and China, are considered in-depth, alongside broader market implications. After the break, Dan and Guy are joined by Shanon Murphy, Head of Research at iConnections. Shanon shares her journey from academia to Wall Street, and eventually to iConnections, discussing her unique background in theology and its impact on her approach to behavioral finance. The conversation delves into the iConnections platform, which facilitates connections between asset allocators and capital seekers through innovative technologies, including AI. Shanon provides insights into the significant capital flows observed within the platform, driven by evolving market conditions and strategies. The episode also highlights the platform's global reach and growing interest in diverse investment opportunities across various regions. Show Notes Deutsche Bank explores hedges for data centre exposure as AI lending booms (FT) —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media