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uneoneuno

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You're not wrong it's always good to have cash but certain allocations could have done 50%-100% return on investment while a CD brought ~5.5% for a while. Look at S&P since 2021. Knowing when to transition from cash, liquidity, other instruments is what kills/allows people to survive. We can't all do the same thing, it's almost as if it's economic ecological evolution, random death.

You have to be smart enough to know how to prompt and how to iterate on the LLM response. If you can't use the tool effectively, you're gonna get bad results.

I'm in my mid 30's, well into my professional career as an engineer.

I frequently use gpt to tune / tweak / see if I am missing anything in proposals and other documents I create. I'll give GPT a broad idea of what I'm writing and ask for bullet points, then review what it came up with and compare to what I've written. It almost always makes my output better - I find there's some customer disclaimer or other scope clarification that the gpt came up with that I incorporate into my document.

Asking GPT to make you something or "do your essay" wont work. You have to know enough about the thing you want out of it in order to be able to ask GPT for it.

So yes, the people who know things and know how to use a LLM are going to have more polished outputs. Most other people just plugging and chugging get junk or uninspired goop.

I got a crappy 25 year old Kodak that takes 110 cartridge film at a thrift store for $5. Those 24 pictures seem more real than the 1000's on my phone. Remembering where you take them is cool

ChatGPT for Teams 3 years ago

I've been playing around with the assistant stuff and adding !expert to my searches to see what the LLM spits out first as a quick check. I'd love if I could get my custom assistant to work - sounds like a lot of fun to be had there.

My 1989 Bronco II has a computer ignition system. Even an OBDI diagnostic capability. You can count the pulses and it tells you the error code. It still works fine. Most brands of cars were using solid state computers at least in some capacity like this since the late 1970s

I used to do species population spot-check counts of the aeration basin floc thru a crappy optical scope back in the day at the municipal wastewater plant. I loved finding the tardigrades occasionally and watched them for ages.

I feel like the author is leaning into comfort, intuitiveness. You bring up a fantastic point. Often we find data reveals things very unintuitive to human experience. We should always try to make Good Arguments - but without data they aren't always honest beyond feelings.

I think it's a great idea because it challenges the status-quo idea of what college has to be. We can agree 18 year olds can bring fresh ideas - they are much closer to the cultural future and more agile on any new technology. An 18 will see things elders won't and they have a TON of energy. But 18s aren't typically 'wise' by making all the mistakes you make over decades to learn from. At any age we all need role models outside of our peers to stay maximally effective. The experience of a 40 year old in the mix of 18s is INVALUABLE. Teams should almost always be multi-generational or they can become myopic. A multi-gen team will make better products than a team of 50-60 year olds alone or a team of 18 year olds alone

So many of those themes are found outside the Gita, often they can be uncovered thru a good life. But the cohesion is missing - it does feel like the author cut out small bits of Dogma from many 'religions' as they were uncovered or found relevant, informed by their experience. The main point I find interesting is that each of us does this 'pick and choose'.