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TLDR 2026-07-06

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Big Tech & Startups

Nvidia taps AI cloud providers to expand compute access for startups (2 minute read)

Nvidia has started a partnership program that offers firms access to critical computing infrastructure through the company's network of AI cloud service providers. Members of the program will share both product and cloud revenue with Nvidia. AI firms are increasingly entering into revenue and equity-sharing agreements with chip makers to circumvent liquidity issues. Nvidia plans to raise at least $20 billion in debt for general corporate purposes.

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Science & Futuristic Technology

The Quest to Make Humanoid Robots Safe Enough for Humans (6 minute read)

One of the biggest challenges for robot makers is ensuring that they don't hurt humans. The machines are getting bigger and heavier, which increases their potential for damage. The International Organization for Standardization is expected to publish a standard for humanoid robot safety by mid-2028, but robot makers are already coming up with their own solutions. This article looks at some of those solutions.

The AI Superforecasters Are Here (30 minute read)

An AI superforecaster is an AI modified to be good at forecasting. This usually involves a scaffold that handholds the agent through a long research process. There are now several companies that claim to have AI superforecasters with incredible performance and results. They appear to be making crazy profits on prediction markets and beating the stock market by some comfortable amount.

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Programming, Design & Data Science

A Field Guide to Fable: Finding Your Unknowns (16 minute read)

Users need to spend more time defining unknowns to prevent long-horizon tasks from coming back wrong. Claude can be used to help define these unknowns through explainers, brainstorms, interviews, prototypes, and references. Doing this is a cheap way to fix problems before they get expensive. This post shows readers how to use Claude to help find their unknowns.

Agentic Autonomy Levels (19 minute read)

Low autonomy limits risk and increases reversibility. Higher autonomy is better for explicit activities, as well as for fleets of parallel agents refactoring massive codebases. The edge of the frontier is the manager agent that delegates to helpers while continuously verifying their output, and only returning with the decisions that must be made by a human. This setup can be used to run hundreds or thousands of agents.

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Miscellaneous

AI has torched the market for junior programmers (8 minute read)

The job market for computer programmers is quickly falling. However, the market for jobs where the work product is judgment about what code should exist is growing. AI is only eating a very specific kind of programming job. The jobs disappearing are the ones where the work product is code written to spec.

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Quick Links

Better Models: Worse Tools (14 minute read)

If the newest models get better at solving the task while getting worse at faithfully emitting an alternative tool schema, then the harness needs stronger guarantees somewhere.

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