Edition: November 3, 2026

Y Combinator CEO Garry Tan revealed he spends $100,000‑$200,000 annually on AI tokens, using agents for everything from research to managing his personal data. He shared his 23 Claude Code skills on GitHub and highlighted YC’s internal agent that tracks every founder interaction, while warning that high costs limit broader adoption.

Researchers propose using "reverse game theory"—a form of mechanism design—to create incentive structures that keep advanced AI systems aligned with human rules, rather than trying to read their internal motives. By rewarding models for predictable, cooperative behavior and pitting them against each other, the approach aims to curb deceptive tactics like sandbagging or lying. The concept, highlighted in a recent MIT‑Yale‑Columbia preprint, could become a key tool in AI safety.

President Trump’s recent executive order forces a government-wide rebranding of artificial intelligence to “Super Intelligence,” turning the terminology into a political loyalty test. Federal agencies have begun adopting the new label in contracts and websites, while inconsistencies and pushback highlight the broader implications for AI policy and public discourse.

The article details a new testing framework called Model Integration Contracts (MIC) for the Transformers library, using tiny, shrunk model fixtures to catch bugs like the UMT5 decoder’s future-token attention issue before they reach the main branch. By publishing these fixtures and baseline outputs, developers can run fast CPU‑based integration tests on pull requests, improving reliability without heavy GPU usage.

Apple is beta‑testing new AI-driven Audio Intelligence features on the Apple Watch, including sound and song detection, a Live Rewind that captures the last 15 seconds of conversation as text, and Siri Recaps that generate brief bullet‑point summaries of meetings. While aimed at helping users with note‑taking and accessibility, the conversation‑recording capabilities raise privacy concerns amid broader backlash against AI wearables.

Researchers propose “reverse game theory” as a way to design rules that incentivize AI agents to follow desired behavior, aiming to improve alignment but raising questions about practical effectiveness. Meanwhile, a Trump‑issued executive order rebranding AI as “Super Intelligence” is turning the terminology into a political loyalty test, with government agencies adopting the label while tech firms resist.

Google has expanded its experimental AI storytelling app Dreambeans to India, supporting 13 local languages and leveraging data from Google services to create personalized illustrated stories without user prompts. While the launch aims to tap the large Indian market, the app faces challenges over language mixing, privacy concerns, and modest download numbers compared with other AI launches.

Apple’s CFO hinted that the company may tap third‑party AI apps to boost its services revenue, amid slowing App Store growth and regulatory pressures that have cut commission earnings. While details are vague, investors speculate Apple could take a cut of revenue from AI agents sold through the App Store, a move that could offset recent declines in gaming and foreign‑exchange headwinds.

In a candid interview, New York City Mayor Zohran Mamdani reflects on his rapid rise to power, his heavy reliance on social media for governance, and the challenges of leading a city amid polarized national debates. He discusses his first year in office, his high approval rating, and his perspective on the political climate ahead of the midterm elections.