November 11, 2025
Presented by
Good morning, AI enthusiasts. AI legend Dr. Fei-Fei Li launched World Labs to tackle artificial intelligence's biggest blind spot: spatial understanding. While current AI masters language, it cannot estimate distance, navigate rooms, or predict how objects move through physical space.
Will spatial intelligence finally deliver the practical robots and immersive tools that language models cannot?
In today's recap:
Fei-Fei Li's World Labs targets spatial intelligence breakthrough
OpenAI explores consumer health assistant for 800M users
Stanford proves AI matches human persuasion in politics
New AI tools & prompts
WORLD LABS
AI's next leap: Spatial Intelligence
© David Paul Morris/Bloomberg
Recaply: AI pioneer Dr. Fei-Fei Li declares spatial intelligence the next major breakthrough in artificial intelligence. While today's AI excels at text and conversation, it struggles to understand physical spaces, navigate environments, or predict how objects interact. Li argues that giving machines spatial awareness the ability to perceive, reason about, and generate 3D worlds will unlock capabilities current AI cannot achieve, from autonomous robots to immersive creativity tools.
Key details:
Li defines spatial intelligence as AI that understands geometry, physics, and how things move through space abilities humans use constantly but machines lack.
Current language models remain "wordsmiths in the dark" that cannot estimate distance, rotate objects mentally, or predict basic physics.
World models represent the technical solution, combining perception with action to generate physically consistent 3D environments.
Li founded World Labs in 2024 to build these spatial AI systems, drawing on her experience creating ImageNet, a dataset that helped launch modern AI.
The technology requires new training approaches beyond text-based models, using internet-scale visual data and synthetic simulations.
Why it matters: Spatial intelligence could transform how AI assists humans in physical tasks. From robots that navigate homes to tools that let architects visualize buildings instantly, machines that understand space unlock practical applications language-only AI cannot deliver.
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OPENAI
OpenAI eyes personal health assistant
© michael vanarey/HLTHinc
Recaply: OpenAI explores building consumer health tools that could transform how people manage their medical information. The AI giant considers creating a personal health assistant or health data aggregator, tapping into ChatGPT's 800 million weekly users who already ask health questions. OpenAI hired Doximity cofounder Nate Gross to lead healthcare strategy and Instagram's Ashley Alexander as VP of health products, signaling serious ambitions in the health sector.
Key details:
OpenAI weighs building personal health assistant or data aggregator for consumers.
ChatGPT serves 800 million weekly users, many seeking health information and advice.
Company hired Nate Gross from Doximity and Ashley Alexander from Instagram for health leadership.
Would compete with Alphabet's Verily, which launched AI health record app in October.
Federal ban on information blocking makes patient data more accessible than ever.
Why it matters: Consumers increasingly turn to AI for health questions instead of traditional search engines. OpenAI's massive user base and conversational interface position it to succeed where Google, Microsoft, and Apple previously struggled with personal health records. If OpenAI builds tools that centralize scattered medical data, it could finally give patients true control over their health information.
AI RESEARCH
AI writes politics as well as humans
© iStock / Nanzeeba Ibnat / Sarah McKinney
Recaply: Stanford researchers just discovered something surprising about artificial intelligence and political messaging. When AI writes political arguments, people find them just as convincing as messages written by humans. The study tested this across several hot topics like gun control, carbon taxes, and voter registration. Participants read different messages without knowing who wrote them, and the results showed no real difference in persuasion power between AI and human authors.
Key details:
Stanford Graduate School of Business tested AI-generated political messages against human-written content across multiple policy topics including smoking bans and automatic voter registration.
Participants rated both types of messages equally persuasive, though they noticed different writing styles between the two sources.
People said human messages felt powerful because of personal stories and experiences, while AI messages stood out for logical reasoning and clear facts.
The strongest effects happened with people who already agreed with the message, pushing them deeper into their existing beliefs rather than changing minds.
Researchers worry this technology could make it easier to flood social media with content that divides people even more during elections.
Why it matters: This research shows AI can match human persuasion skills in politics, which brings both opportunities and risks. While the technology could help create clearer political communication, it also opens doors for bad actors to produce massive amounts of divisive content cheaply. With the 2026 midterm elections approaching, understanding how AI shapes political opinions becomes critical for protecting informed democratic participation.
NEWS
📰 What matters in AI right now?
Meta introduced Omnilingual ASR, providing automatic speech recognition for over 1,600 languages including 500 previously untranscribed low-resource languages.
Replit launched AI Integrations, giving developers instant access to 300+ AI models from OpenAI, Anthropic, and Gemini without setup or API keys.
Scale AI CEO Alexandr Wang advised teenagers as young as 13 to focus intensely on vibe coding with AI tools, calling it this generation's Bill Gates moment.
Google introduced Builder agent for Maps Platform, creating custom-coded geospatial prototypes from natural language descriptions in minutes.
Scribe raised $75M at a $1.3B valuation for its AI workflow tool that maps enterprise processes to identify where automation delivers ROI.
Elon Musk unveiled image-to-video animation for Grok, allowing users to animate photos with a long press and creative prompts directly in X.
Gamma raised $68M at a $2.1B valuation led by a16z, reaching $100M ARR profitably with just 50 employees at $2M ARR per employee.
Baidu released ERNIE-4.5-VL-28B-A3B-Thinking, a lightweight multimodal reasoning model with 3B active parameters outperforming Gemini-2.5-Pro on document tasks.
PRODUCTIVITY
🧰 AI Tools to Check Out
📸 ProPhotos: Instantly generate high‑quality, photorealistic AI headshots
🖼️ PicWish: Enhance photos with background removal, sharpening, and colorization
🧑💼 JobHire: Automate job applications based on your preferences
📇 Clay: AI‑powered personal CRM to manage all your relationships
✍️ WordHero: AI content writer for blogs, ads, and emails—fast and smart
📞 Firefiles: Transcribe, summarize, and analyze meetings in 100+ languages
🎥 Faceless Video: Auto‑create and post videos from text in minutes
🗣️ Syllaby: Create faceless AI videos with custom voice clones
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Cheers, Jason
