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Milton Friedman said we can't have free immigration and a welfare state He was wrong Turns out that if you create pathways for illegal immigrants to vote, then actually, 100% of the time you INEVITABLY end up with both a welfare state and free immigration Because incentives determine actions Whichever politicians realize they can essentially use taxpayer dollars to fund welfare to import voters will exploit this hack ruthlessly 1. Offer welfare 2. Allow illegal immigration 3. Let illegal immigrants vote (they will 100% of the time vote for more welfare) 4. Win office 5. Raise taxes, offer more welfare, repeat It's a self-reinforcing feedback loop Allowing illegal immigrants to count in the census and vote cements this loop Literally only 12 states require proof of citizenship to register to vote. Look it up. It's horrifying. That is why 15m illegal immigrants came across the border in 4 yrs. It is game theory the only smart thing to do This ends in disaster

We tried using Meta's new Muse Code agent, but it has a bug that doesn't let it sign in from a docker container. So we did a fun experiment: Meta claims Muse Spark 1.2 was co-trained with their Muse agent harness. So we extracted instructions from their system prompt and added them to the Cline harness. TL;DR of this special prompting: - Trust source code over the user prompt, so read every call site and existing tests before starting the task - Weigh edge and error cases as heavily as the happy path - Always reproduce the bug before fixing - Don't trust the first passing test suite, and verify suspicious looking half-baked tests - Never stop at just editing, keep working until the change is verified complete. We then asked this modified harness to fix a real bug from our repo, and compared the results to the original Cline agent harness. Results: - Used 2.7x fewer tokens (19.7M → 7.2M) - Finished 2x faster (49min → 24min) - Cost 2.4x less ($7.69 → $3.25) Same Muse Spark 1.2 model, same task, only the prompting changed. Incredible how much of a performance gain Meta was able to achieve training it on these special instructions!

The dangerous AI agent may look productive: task completed, consequences hidden. The real benchmark isn't just whether it can act, but whether it knows when the task has become unsafe. Judgment matters more than speed. #AIAgents# #AISafety# #ResponsibleAI# #PodcastorAI#