DeepSeek launches R1 platform as Meta nears Corning deal

Key Takeaways

• China's AI industry is valued at $160-$170 billion, with over 5,300 companies, and DeepSeek launched its R1 generative AI platform in January.
• China leads in widespread AI deployment across industries and public services, contrasting with the US focus on advanced models.
• Meta is reportedly finalizing a $6 billion deal with Corning for optical fiber through 2030 to support its AI data centers.
• Google's Gemini team, including Connie Fan and Danny Tarlow, developed Gemini into a top AI coding model for coding features.
• The EU is pressuring Google to open Android to rival AI software and share search data under the Digital Markets Act, with a six-month compliance deadline.
• Mozilla is forming an "AI alliance" with $1.4 billion to invest in AI safety and governance, challenging dominant players like OpenAI and Anthropic.
• Karan Kapoor, Microsoft's Director of Product Management, was honored for his work on AI features in Microsoft M365 and Copilot.
• AI-generated content, or "AI slop," is distorting Holocaust history with fake images, prompting calls for social media platforms to combat misinformation.
• TheSkinnyAI launched a new B2B AI sales agent platform, starting at $199.99/month, to convert website visitors into qualified leads.
• Experts debate the future of AI, from superintelligence to limited progress, emphasizing the need for a US strategy to maintain its lead over China.

China's AI Industry Soars with New Robots and Innovation

He Xiaopeng, CEO of XPeng, showed off his new humanoid robot IRON in Guangzhou on November 5, 2025. China's AI industry is growing fast, estimated at $160-$170 billion last year with over 5,300 companies. DeepSeek launched its R1 generative AI platform, similar to ChatGPT, in January. Six AI unicorns, called "AI Tigers," are leading new investments. China has advantages like many engineers and government support, aiming for "independent and controllable" innovation.

America Focuses on Wrong AI Goal China Leads Deployment

The United States focuses on advanced AI models, but the real competition is deploying AI widely. China leads in this area due to its strong industries and public trust. Beijing uses a "grand steering" approach to integrate AI into factories, transportation, and public services. For example, China now has more robots than Germany and Japan, and Tsinghua University launched an AI healthcare system in 2024. While the US struggles with widespread AI adoption, China's industrial power allows it to build infrastructure quickly.

AI Future Uncertain US Must Adapt Strategy

Experts Jake Sullivan and Tal Feldman discuss how AI will shape global power. People disagree if AI will lead to superintelligence or have more limited, uneven progress. They also debate if other countries can easily copy AI breakthroughs or if catching up will be hard. The United States needs a strategy that works for different possible AI futures. This strategy should strengthen national security, boost prosperity, and uphold democratic values. It must also help the US maintain its military, economic, and technological lead over China.

AI Generated Content Distorts Holocaust History

On International Holocaust Remembrance Day, experts warned about "AI slop" distorting the history of Nazi crimes. Fake images, like an emaciated man at Flossenbuerg or a girl falsely linked to Auschwitz, have spread widely. Historians Iris Groschek and Jens-Christian Wagner note this content, often from content farms, trivializes or denies the Holocaust. Memorials and the Anne Frank Educational Center called on social media platforms to fight this misinformation. German Culture Minister Wolfram Weimer supports labeling and removing such AI images.

AI Generated Images Distort Holocaust Memory

AI-generated content, often called "AI slop," is distorting the history of the Holocaust. Images like an emaciated man at Flossenbuerg concentration camp appear real but are fake. This wave of content has serious effects on how people understand the Nazi era. Experts warn that these distortions can change public perception of historical facts.

Quant Finance Versus AI Research Career Differences

Nimit Sohoni, a former quant at Citadel Securities, explains the differences between quant jobs in finance and research jobs in AI labs. Finance quants generally work fewer hours and have a better work-life balance, focusing on trading hours. In contrast, AI researchers often work "around the clock" due to intense competition. AI labs tend to have more open cultures, while finance jobs are more secretive. Both fields offer high salaries, but quant finance careers can be "U-shaped" where pay increases with seniority, but performance metrics are very strict.

Google Podcast Explores Gemini AI Coding Model

The Google AI: Release Notes podcast features an episode about the Gemini team. Host Logan Kilpatrick talks with Connie Fan and Danny Tarlow, who lead product and research for Gemini's coding features. They discuss how they built Gemini into a top AI coding model. The conversation covers the early goals for Gemini's code, the idea of "vibe coding," and how AI will change programming languages in the future.

Corning Stock Rises on Reported Meta AI Fiber Deal

Corning shares rose 6% in premarket trading after CNBC reported a potential deal with Meta. Meta may buy up to $6 billion worth of optical fiber from Corning through 2030. This deal supports Meta's large investments in artificial intelligence data centers. Corning is a top maker of optical fiber, which is crucial for high-speed data in these centers. The agreement could be finalized soon.

Mozilla Forms AI Alliance Against Tech Giants

Mozilla, the nonprofit behind Firefox, is forming a "rebel alliance" to challenge major AI companies like OpenAI and Anthropic. Mozilla plans to use its $1.4 billion reserves to invest in startups and organizations focused on AI safety and governance. Mark Surman, Mozilla Foundation president, leads this network of tech experts aiming for more open and trustworthy AI. This effort seeks to balance the power of large companies like OpenAI, which started as a nonprofit but became commercial after ChatGPT's success.

EU Orders Google Android to Open to Rival AI

EU regulators are reviewing Google's Android system under the Digital Markets Act. They want Google to make Android work with rival AI software and share valuable search data fairly with other search engines. The EU aims to pressure Google to change its services and gave the company six months to comply. If Google does not follow the rules, it could face formal investigations and large fines, possibly up to 10% of its global annual sales. Google's Clare Kelly expressed concerns that these rules might harm user privacy and innovation.

Distributed AI Models Offer New Investment Returns

Many companies investing in AI are seeing little return and depend heavily on a few large platforms. This creates risks like rising costs and trust issues. However, a new trend is emerging with distributed, sovereign AI models that give users more control. Major tech companies are spending billions on AI infrastructure, but history shows that closed industries eventually open up. Projects like Gradient are building fully distributed AI systems that can use the processing power of billions of smartphones. Entrepreneurs can find massive opportunities by building open and resilient AI systems.

Karan Kapoor Honored for AI Product Management at Microsoft

Karan Kapoor received an honor for his work in product management for AI-based products. He serves as the director of product management at Microsoft, a role he has held since 2022. Kapoor has been key in improving services for Microsoft products like Word and Excel, and developing AI features for Microsoft M365 and Copilot. Before Microsoft, he worked at K2 Consulting and Amazon, where he focused on e-commerce and machine learning. He holds an MBA from Cornell and a Bachelor of Technology from the University of Jammu.

TheSkinnyAI Launches New AI Sales Agent for B2B Leads

TheSkinnyAI, an AI sales agent platform created by Andrew Dallas, launched today in Belgrade, Maine. This new tool helps B2B companies turn website visitors into qualified sales leads without needing sales teams upfront. It engages visitors in real-time, answers questions, and qualifies prospects using only the company's public content. TheSkinnyAI offers easy setup, multilingual support, and boosts website engagement. It targets mid-market B2B sectors like MedTech and SaaS, with pricing starting at $199.99 per month.

Sources

• How China Caught Up on AI—and May Now Win the Future
• America Is Running the Wrong AI Race
• Geopolitics in the Age of Artificial Intelligence
• As world marks International Holocaust Remembrance Day, concern over "AI slop" rewriting history
• Clickbait and 'AI slop' distort memory of Holocaust
• The difference between quant jobs in electronic trading and research jobs in an AI lab
• In our latest podcast, hear how the “Smokejumpers” team brings Gemini to billions of people.
• Corning stock pops on reported $6B AI optical fiber deal with Meta
• Mozilla is building an AI ‘rebel alliance’ to take on industry heavweights OpenAI, Anthropic
• Google Android Told by EU to Open Up to Rival AI Systems
• 95% of Companies Get Zero Return on AI Investment — But This Emerging Model Is Changing the Game
• Karan Kapoor Honored for Contributions in Product Management for AI based Products
• TheSkinnyAI Launches Revolutionary AI-Powered Sales Agent to Transform B2B Lead Qualification