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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & LAUNCHES

TLDR AI

ASYMMETRY OF VERIFICATION AND VERIFIER'S LAW

Asymmetry of verification is the idea that some tasks are much easier to verify than to solve. Examples of this are everywhere, for example, Sudokus take a lot of time to solve, but it is trivial to check if any given solution is correct. One of the most important realizations about asymmetry of verification is that it is possible to improve the asymmetry by having privileged information about the task - for example, it is trivial to check test answers with an answer key on hand. AI will likely be much better at verifiable tasks because it's much easier to solve verifiable tasks.

THE "BUBBLE" OF RISK: IMPROVING ASSESSMENTS FOR OFFENSIVE CYBERSECURITY AGENTS

Improving AI agents for offensive cybersecurity tasks is cheap and easy: with just $36 of compute time, Princeton researchers increased attack success rates by over 40% through simple techniques like prompt refinement and self-training. Static safety assessments miss this "bubble of risk" where adversaries can cheaply adapt open-source models beyond their original safety profiles, especially in cybersecurity, where clear success signals enable rapid iteration.

UNDERWRITING SUPERINTELLIGENCE

The Incentive Flywheel, discovered by Benjamin Franklin, has been at the heart of balancing progress and security for new technology waves since it was created when fires threatened Philadelphia's growth. It won't appear fast enough on its own for AI - it needs to be jump-started. This essay outlines 25 actions that entrepreneurs and policymakers must take by 2030 across agents, foundation models, and data centers. If the West slows down progress in AI, China could dominate the 21st century, but if it accelerates recklessly, accidents will halt progress - like with nuclear power.

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