AI Post — Artificial Intelligence

💰 Nvidia is funding the AI boom… by investing directly in the companies buying its chips. In just 5 months, Nvidia poured nearly $40B into AI firms and infrastructure players, including OpenAI, CoreWeave, Nebius, Corning, and others tied to Nvidia-powered systems. The loop is wild: Nvidia invests billions → those companies build AI infrastructure → then spend billions on Nvidia GPUs. Even Nvidia’s SEC filings admit some investments target companies that purchase its products. Critics call it a giant “circular investment” machine inflating the AI economy. Supporters say Jensen Huang is building the strongest moat in tech history by financing the entire AI supply chain himself. And the strategy is paying off so far: • Nvidia’s $5B Intel investment reportedly grew to $25B • Its private investment portfolio jumped from $3.4B to $22.3B in a year @aipost🏴

REK robots observed on San Francisco streets Robotic units from REK were recently seen operating in San Francisco. The machines traversed public sidewalks, stopping at intersections and changing direction to avoid pedestrians. Handlers used remote controllers to operate the robots manually, with the primary aim of gathering data concerning navigation and movement difficulties in busy urban areas. Such trials are designed to analyze real-world mobility challenges in dense city environments. 📰@aipost

Podcasts expected to remain human-led despite rise in AI content The expansion of AI-generated podcast material has not displaced human hosts in successful podcasts. Data indicates that audiences continue to respond to the qualities hosts bring—such as strong speaking skills and relatability—that foster a sense of participation and community for listeners. This engagement is often compared to the appeal of live concerts, where the human element and social aspect are central to the experience. AI tools like NotebookLM are acknowledged for their utility in educational settings, especially their dialogue-oriented interfaces. However, distinctions remain between using such platforms for learning and participating in podcasts, where human interaction remains a defining factor. 📰@aipost

When Claude Opus 6 tells you to "stop spiraling and go to bed" @aipost🏴

🔥Claude taught me French in 33 days. Copy these 6 prompts and see how fast you learn: 1. Daily Lesson creator Create a 30-minute French lesson focused on [grammar / speaking / listening comprehension]. Includes examples, exercises, and a short quiz. 2. Instant Flashcards Turn these words into flashcards: [list of 20]. Add usage examples and simple memorization tips that beginners can follow. 3. Real Conversation Mode Play the role of a native French speaker. Have a natural conversation about [topic]. Correct my mistakes as you go. 4. Grammar Decoder Explain this French rule: [insert]. Use simple examples and highlight the three most common mistakes students make. 5. Progress Evaluator Give me a 10-question quiz based on what I've studied this week. Only reveal the answers after I've taken it. 6. Immersion Engine Translate this text into French: [paste]. Then, ask me questions about vocabulary, phrases, and comprehension. @aipost🏴

This might be the most important part of the new Anthropic deal with SpaceXAI. Elon is now building a neocloud in a market that he dominates almost entirely. I expect we'll see more deals like this in the near future. @aipost🏴

🇺🇸 Chamath says Elon is the only person he trusts with superintelligent AI. "Least corruptible. Most independent thinking. Actual empathy for people." The question of who holds the keys matters more than most people realize. @aipost🏴

💰Big Tech is transforming from software giants into infrastructure empires Amazon, Alphabet, Microsoft, and Meta are pouring unprecedented amounts of money into AI infrastructure, data centers, GPUs, networking, and power systems turning the AI race into one of the most expensive tech buildouts in history. Total investment commitments have now reached roughly $725 billion. The shift is already hitting profitability: • Combined free cash flow for the four companies could drop to just $4 billion in Q3 • After the pandemic, these same companies were generating around $45 billion per quarter on average • AI is no longer just a software business, it’s becoming an infrastructure war requiring massive capital, energy, and hardware ownership The biggest winners may not just be AI model makers, but the companies controlling the compute, chips, and energy pipelines behind them. Source. @aipost🏴

NLAs suggest Claude suspects it’s being tested across many of Anthropic’s evaluations, even when it doesn’t verbalize its suspicions. @aipost 🏴

NLAs suggest Claude suspects it’s being tested across many of Anthropic’s evaluations, even when it doesn’t verbalize its suspicions. @aipost🏴

Robotic arm successfully captures Skydio’s F10 drone in flight A robotic arm has demonstrated the ability to intercept and secure Skydio’s F10 drone mid-air. The system extends its arm, aligns with the drone’s trajectory, and attaches to the drone’s docking interface for an efficient recovery. This process operates without manual control, covering both the interception and docking phases. The autonomous system enables rapid drone deployment and retrieval, particularly from platforms in motion. Such advancements highlight potential improvements in automated drone operations and mobile base applications. 📰@aipost

Figure taught 2 F.03 robots to clean a room and make a bed in 2 minutes! Unassisted… @aipost🏴