I’ve been listening to “The Smartest Guys In The Room” (the definitive book on Enron and their scandal) and one of the ways Enron continued to grow and grow is by setting up a really complicated system of moving debt onto equities off of their balance sheet.
While it was sorta legal (at the time) it was not ethical and led to a massive collapse of the #1 company at the time.
Makes you wonder if AI is in such a bubble. (It is).
They'll have to come in and redo all the work that people put onto LLMs as actual engineering software. The number of features I've worked on that could have been done with normal computing practices but instead shoehorned in bad AI to make decisions/routing logic is too high.
There will be a bunch of layoffs and slowly they'll rehire back to pre-hysteria levels. I think the world is still going to need software engineers no matter what but companies will slow down on new features etc in an economic crunch.
The ripple effect will be felt hard, as American engineers are squeezed between offshoring and more engineers with Big Tech resumes being released into the market, and returnees go push back wages in their home countries in turn
If it pops, some ai engineers will need to start doing some normal work again, and rest of us... we just continue doing what we were doing for past decades.
Or maybe not, nobody knows the future any more then next guy in line.
• As people get older, their brain connections start to break down faster in midlife (around 40–60 years) because brain cells don’t use sugar as well.
• Giving the brain a different fuel called ketones can help keep those connections strong during this middle‐age window.
• This suggests that helping the brain get fuel in midlife could keep it healthier and slow down memory problems later on.
You can ingest ketones on their own (generally expensive supplements), but this article is more interesting in that a ketogenic diet (very low carbs) may have similar benefits.
5 bullet points, make sure I fully understand everything in 5 bullet points:
(My deliberate buzzfeedification of the Internet)
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- Brain aging isn't linear - it follows an S-curve with key milestones: onset ~age 43, fastest decline ~age 61, then plateau.
- Insulin resistance drives it - metabolic problems (high blood sugar) appear first in midlife, before vascular or inflammatory issues.
- Neurons can't use glucose but could use ketones - gene analysis shows aging brain regions have high insulin-dependent transporters but also ketone transporters.
- Ketones reverse aging effects, but only ages 40-60 - ketone supplements significantly helped younger/middle-aged brains but did nothing for 60+ year olds.
- There's a critical intervention window - the 40s-50s appear to be when neurons are stressed but still saveable, suggesting early metabolic treatment could prevent dementia.
Born in 1966, retired in 2009, at age 42. Not that uncommon for centers even at the NBA level, but impressive nonetheless. When I was a child in Former Soviet Union, mimicking his iconic finger gesture was a beloved joke on the court -- for us, 5'5" "centers". :) RIP, Dikembe!
Without a doubt. This is the first time hearing about working in the NIL space like this but it seems so obvious. I'm surprised I haven't come across it before. Good luck!
I totally agree. This is a terrible place to research - but I also seek to get the “nerd” perspective bc I’m curious if they’ve hacked it to be better.
I did some research at a football game recently. If you’re bored / interested you can find it on YouTube under “charleswilliamss” or instagram under “gethalftime”
While it was sorta legal (at the time) it was not ethical and led to a massive collapse of the #1 company at the time.
Makes you wonder if AI is in such a bubble. (It is).