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gmadsen

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It is widely accepted that you can get better performance with c++ far easier than C. Outside of custom rolling assembly , a large aspect of performance tuning is compile time optimization, which is extremely non trivial in C, while being supported in language with C++. All the things people associate with C performance can be done in C++, the converse is not true

We already have data on one of those…

Pragmatically, the main reason that has been true throughout all of history is that women are more valuable reproductively. A country can lose half its men in a war and still recover. The same is not true if it loses half its women.

For what it’s worth, I’ve fallen into the trap of building an “ideal” system that I don’t use. Whether that’s a personal knowledge db , automations for tracking habits, etc.

The thing I’ve learned is for a new habit, it should have really really minimal maintenance and minimal new skill sets above the actual habit. Start with pen and paper, and make small optimizations over time. Only once you have engrained the habit of doing the thing, should you worry about optimizing it

I'm sure there is an association between personality traits {openness, conscientiousness, extraversion, agreeableness, neuroticism} with preferences to specialize or learn broadly. That is seperate from the phenomena of nearly all cognitive tasks being correlated with each other positively, e.g. verbal scores are positively correlated with math and musical scores. This is referred to as g-factor in literature.

My overall point being, yes people learn differently, but it is also true that there exists outliers in general intelligence

ChatGPT Health 7 months ago

You still need 2 deviations above the average college student to get to med school. As a rough proxy for intelligence. The bottom threshold for doctors is certainly higher than lawyers

maybe not direct automation, but ask-respond loop of your HA data. How are you optimizing your electricity, heating/cooling with respect to local rates, etc

Two things.

1. Shareholders are entrusting the CEO with their money to turn it into more money. Networking can absolutely be worth that much. Especially at the start up stage, the CEO is selling the ability to build the money maker, which requires knowing the right people. 2. In your hypothetical, who is deciding these high level "investments" into the company? who is accountable for their strategic success or failure?

sure, but that is less work. you can also have separate LLM QA prompts that assess test suite behavior to production behavior.

ultimately you are right, the buck needs to stop somewhere, but at least in my experience, the more you add quality/test checks as LLM workflows, the higher the rate of success.

Its not clear to me that it needs to. If at the margins it can still provide an advantage in the market or national defense, then the spice must flow