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Joined 3 years ago
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Cake day: June 15th, 2023

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  • you (I assume) aren’t a deci-millionaire.

    Having $100,000 in net worth (especially as an older adult) isn’t that rare. 😀

    Its those deca-millionaires that are close to (but not quite) in the 1%, and no I’m not one.

    Maybe you would be if you invested that money instead of being generous with it.

    For me, I’d still be well under $10m even with zero charitable contributions.

    Its possible be under $10m net work and to donate/contribution tens of thousands of dollars per year without it being a meaningful hit against growth. Once you hit a certain point, the compounding of what you have does the work. This was my point.

    If you started with $1m in the boring S&P500 10 years ago, that would be worth $4,446,735 today. Projecting forward, if you had $4m today with the same returns over the last year (probably unlikely after trump) you’d have $17,786,940 in 2036. Ten thousand dollars every year donated doesn’t reduce that much.

    you


  • To have and actually keep $10m, you can’t still be the kind of person who helps people in need and is generous to friends and family. There will always be people with debt problems, medical issues, legal problems, housing crises, etc. So, either you were never that kind of person to begin with, or your heart hardens a bit as you get richer.

    I don’t have $10m, but I’ve found it has become easier to be more given the more I have. My foundation is safe. My bills are paid. I have some money left over. I can now much more easily look outward to see where I can help others knowing that helping others doesn’t put my own future at risk.




  • While I consider myself pro nuclear, there is something that gets forgotten everytime this conversation comes up.

    The problem with nuclear isn’t that the waste is impossible to handle, it’s that humans are too short sighted to follow through with it.

    Thats not even the biggest problem with nuclear power as the waste angle, at scale, will hit us decades in the future. The more urgent problem hitting us now on even on existing deployed nuclear plants is cooling water.

    The byproduct of nuclear power generation is lots AND LOTS of waste heat. You have to get rid of this every second to continue to produce electricity. This is why nuclear power plants are typically built next to a large body of water. However, with reduced water supplies in reseviors theres less water to use for cooling nuclear plants. A double whammy is with climate change increasing temperatures, the water that remains is already hotter than it was, meaning it can carry away even less heat.

    If a plant can’t get rid of its heat it needs to curtail (reduce) electricity production. This isn’t just theoretical. Its happening now in 2026 to existing power plants:

    At the time when Europe was experiencing its worst heatwave is recorded history, many European reactors had to be turned down or off. 2026 isn’t the first time this has happened either, you can go back in the last 5 years or so and see many reports of nuclear plant curtailment because of lack of cooling capacity (cool water).

    When we know global temperature are rising, it looks like this will just get worse. How can we say nuclear is the future when the conditions for it working well are already declining?


  • Tf is a token?

    If you plugged this question into an LLM here’s how it would be broken into input tokens:

    BOS (Beginning of Sequence) | Tf | is | a | token | ? | EOS (End of Sequence)

    So this sentence would be 7 input tokens into an LLM. The sentence before this one, which is my response, would be 15 output tokens. The big LLM providers charge you per token used (usually the 1000 tokens used). Some LLM providers charge one price for input tokens and another for output tokens.

    Here’s how that translates to actual dollars to you. Here’s an price list from Oracle Cloud, a large company providing LLM service. Lets take the Google Gemini 2.5 Pro LLM model hosted at Oracle Cloud:

    • Oracle Cloud Infrastructure Generative AI - Google - Gemini 2.5 Pro - Input Tokens - Text, Image, Audio, and Video less than 200K input tokens = $1.25/1,000,000 tokens

    • Oracle Cloud Infrastructure Generative AI - Google - Gemini 2.5 Pro - Output Tokens - Text Output less than 200K input tokens = $10/1,000,000 tokens

    So your input question would have cost you $0.0000175 and my single sentence response to you would have cost you $0.00015.

    Some LLMs (like those discussed in the article) separate each letter as a separate token for processing as input. In that case your same question in one of those LLMs would be 13 tokens instead of 7.












  • Although the jury concluded that Meta had over 43 million violations of the state’s unfair practices act, with each transgression carrying a civil penalty as high as $5,000, a New Mexico judge was responsible for determining the ultimate fine. The Wednesday filing showed that the state was awarded $219.5 billion, but the penalty was ultimately reduced to $25 billion.

    So the $25 billion judgment is a judicial reduction from the jury award of $219.5 billion.

    I also like this decision from the judge:

    The judge added that interest on the penalty shall accrue at the rate of 15% each year until the fine is paid off in full.

    Meta will likely appeal, but not only does that not guarantee a reduction in the judgment, if they drag this out for years, New Mexico gets paid out even more.