bargainman

https://www.visualcapitalist.com/visualizing-the-sp-500s-domestic-and-foreign-revenues/#:~:text=Below%2C we show the breakdown,and foreign sources in 2023.&text=While foreign revenues made up,to foreign sales than others. remember that about 30% of SP500 revenue is international, close to 60% for tech.

Yup. No body wants to pay the piper. It's been a crazy couple of decades though with the financial crisis and pandemic. Both of those had a significant impact on spending and debt iirc. Not sure how the US gets out of this mess other than to inflate.

Awesome! Hope you have a great time. Have you been before? West coast or east coast?

Can anyone see the results of this poll? I only see the following [[Template core/global/global/poll is throwing an error. This theme may be out of date. Run the support tool in the AdminCP to restore the default theme.]]

Club med!!! Highly recommend it for families with active children who want a week off No dishes, no cooking and cleaning, lots of entertainment and fun active stuff to do. Or just laze at the beach

hmm. Well it's good that you have confidence, but why don't you think you have the chops now to go for a Sr Staff Eng job? Do you think that 6 months of training alone will get you to that level? Staff Eng is pretty high up there, Sr Staff is very high. You need actual experience on real projects with many people usually to get that level of a a job, which it sounds like you have? The Sr Staff folks I know have been working with large teams delivering projects for years. I'm just wondering. Hopefully I'm not coming off as negative. I mean it's rare for someone to just get hired at a 3x salary to their previous position...

Just start slow and stretch. I overdid the eccentric downhill stepdown type movements and paid for it for months.

I'm curious what you could do to retool and immediately triple your salary?

Worth watching these projections. I don't know if he gets into the grid transmission issue, but if current cost curve reductions continue it's going to be pretty wild.

Dr M is very knowledgeable but he clearly prioritizes only hypertrophy. He doesn't seem to care about much else, so you should watch his videos with that caveat. I prefer others like Athlean X, knees over toes guy, Peter Attia, even Bryan Johnson has a good workout. Also the abs over 50 guys are good for us older folks ha ha. Must.. prioritize... NOT getting injured... Injuries knock out muscle mass way too quickly...

oof. Good to hear you got through it. Stay healthy! Remember your body is really the only thing you own.

Already happening to some degree with coding assistants like GitHub copilot and others. MS Office copilot possibly as well.. Question as it is with LLMs is how do you evaluate? testing is generally still done with human trials which are slow and very expensive. It will be a while before it moves to pure simulation if ever. I wonder about this. If what Tony Seba projects comes to pass, I wonder if oil will completely collapse along with the dairy industry among others.

Interesting interview from Karpathy (one of the AI luminaries) on what makes Elon unique

https://markets.businessinsider.com/news/stocks/stock-market-crash-1929-prediction-sp500-outlook-overvalued-john-hussman-2024-3 Hmm apparently Hussman is a legendary investor. Anyone know what his returns have been?

Made me LOL. Sorry but this is the nature of tech, always has been. Gates always said he was more worried about a couple of folks in a garage cooking something up that would turn the entire industry upside down. These days a LOT of stuff is out in the open. Take a look at huggingface which hosts community and models of many many open source LLMs. This is academia driven sort of. they always were driven to publish or perish and release their stuff to get reviewed. These days though the limits are starting to show with training. It's crazy how expensive it is to train an LLM, how many GPUs and how much energy it takes. it's really only very large companies with huge budgets, GPUs and data that can afford it. Plus the data annotation process is difficult and error prone, nevermind ethically challenging. Still, once models are out, a lot of them are open source, so you can finetune for less money, and just try prompt engineering to get what you want/need. It's still day one.. early early days which is shocking but true.