Honestly I think a lot of the overbuilt items were just due to less understanding of material sciences. Back then you uses some education when selecting materials, but generally ended up with heavier or much stronger materials, which made for a more robust item. (Im sure manufacturing processes affected this also) now a days, we have a much deeper understanding of materials. What they will and will not hold up against, and in which quality or thickness will be best suited. Ill take a roof for an example. Back in the day big beams, and large rafters were pretty much common. Through material sciences we now make the same roof, out of 2x4s. You for the most part get the same strengths from the roof system in its everyday use. But if a tree falls or something unexpected. Those old beams and rafters will hold up quite a bit better compared the 2x4 engineered truss system. Its why mechanics generally prefer old hand tools in some cases. Can't beat that old school over built quality haha

Wait a minute, high tech company having an island with ai? That's the premise of ghost recon wildlands. EDIT: Ghost Recon *Breakpoint*

Isnt this what that autistic kid from england got arrested and taken down for. He was making a ton of money doing what these market makers do anyway. Edit: > Sarao realised that the high frequency traders all used similar software. That made the market twitchy - like a flock of sheep, all moving in the same direction. > His software took advantage of this by placing thousands of orders before quickly cancelling or changing them, once he had created artificial demand for other traders to buy or sell that asset. [link](https://www-bbc-com.cdn.ampproject.org/v/s/www.bbc.com/news/explainers-51265169.amp?amp_gsa=1&amp_js_v=a9&usqp=mq331AQIUAKwASCAAgM%3D#amp_tf=From%20%251%24s&aoh=17638738103642&referrer=https%3A%2F%2Fwww.google.com&ampshare=https%3A%2F%2Fwww.bbc.com%2Fnews%2Fexplainers-51265169)

Three Mile Island didn't work out very well previously. EDIT: Sorry, downvoters. My bad. What I meant was "Near meltdowns are great!" /s

And the model for most data centers so far is a super-water-thirsty facility that actually removes water from the eco-system due to the contaminants that are put in the water in order to preserve the equipment which it cools. I [read something about it](https://economictimes.indiatimes.com/news/international/us/texas-ai-data-centers-water-usage-texas-ai-centers-guzzle-463-million-gallons-now-residents-are-asked-to-cut-back-on-showers-ai-news/articleshow/122983253.cms) -- I think it was Austin, Tx residents were being told to "take shorter showers" to conserve water, because nobody (but nobody) is going to shutdown the multi-million-water-gallon data center. And btw, live with it. EDIT: typos, clarity.

Just absolutely delusional. The edit is almost more annoying than the post. “I have bad judgement, give me a job”

That pathetic edit really is a cherry on top. You’re begging for a job here after losing more money than regular people will ever have? Lol. Lmao even.

I know, I guess I’m just kind of unnerved that machines are coming to the same conclusions as us in this sort of way (even if it is “logical”) EDIT: I’m very curious to see what other methods will these algorithms “independently discover” to pull a fast one on us, it’s like watching a horror movie where I’m excited to see what happens next but dreading it simultaneously

Where did you learn your technical knowledge? Do you have any resources which you recommend for a person who would like to pursue this as a hobby (obv. with fake money)? I know python and college statistics. I know the learning path is long and hard, but this seems really interesting. Edit: also how is algo trading different from normal technical analysis (charts and stuff)? I have the firm belief that technical analysis is the astrology equivalent for men.

If I was a bot, what should I be worried about? (Edit: power outage? Or phage bots that know how to make my bot pay their bot?)

[https://www.youtube.com/watch?v=lnBLqv3aHz4](https://www.youtube.com/watch?v=lnBLqv3aHz4) EDIT: Video 20 min long. this guy explained kinda good what was a problem with NVDA earnings.

https://preview.redd.it/2x62xvkyuu2g1.jpeg?width=588&format=pjpg&auto=webp&s=d11edf1bbcf4c4f5deabf0063f4fbdf1bfef04b6 This is so much better and the Prayer Email scene from Bruce Almighty comes to mind. Edit: had to add the pic

Its because if companies list the depreciation over a greater number of years the annualized price appears lower, making it look like they've spent less. Its like if you claim cars should last 20 years and get a 15 year loan to keep the note low. EDIT: Personally I could see up to 5 years fwiw.

Def not systemic risk, but a clean decoupled scenario is not realistic at all. This is the awful place we are in, built up from over a decade of trying to hype/integrate this into the financial system (though yes it could have been far worse, all banks and corps being as incredibly exposed as Saylor's shitcorp) EDIT: i think anyone who cant come up with a valid reason as to why this is not true is victimizing themselves of wishful thinking still. Markets have considerable exposure and the past month has been telling.

LMAO the edit. What kind a resume is this? "Company looking for value" in this loss porn.