> AND magically gets 4x cheaper energy they are in a much weaker stance for the long haul.
By energy you mean electricity,the nuclear, solar and hydro-- the kind China has installed new 2TW capacity over the last decade while US installed 0.2TW capacity in the same time?
> A lot of people are emotionally unprepared for a world where the music doesn't stop.
I've been wrong before. However, when was the last time this business model made sense -- that facebook, SpaceX and others, all just pivot from their market niche to general purpose AI datacenter providers.
How on Earth does this make sense?
What happens in a few years when DeepSeek runs on the chinese chips like the Huawei Ascend at a fraction of the cost ?
These are all very high value added companies going into comodity AI hosting and they're all going to make a killing?
My experience as IT in modern banks was the opposite. The legal department were absolute assholes when it came to software features. And I'm talking absolutely 100% ok features, like paying your bills from the banking application.
The least fun, trigger happy, cover their buts people I've ever seen.
Like all they could ever say was NO. I guess they were heavily incentivized to just say NO to everything.
> is regularly wrong, frequently myopic, and just outright dumb constantly.
I give LLMs snippets of text messages exchanges with my wife and I can't believe how dumb the LLMs are of getting basic facts right let alone nuance.
I'm 100% not one those "LLMs are just stochastic parrots" people, but coding and coding-like activities are extraordinarily well fit for LLMs, but for things that there's less training data, LLMs probably do a lot worse
noob question here from someone who ony played a bit with iceberg and trino: what's the reason to do the analytics stil inside the postgres -- is it so that you don't eat up the IOPS/bandwidth of the main postgresql disks?
I did use pure nicotine and it was very bad for my health, probably due to high dosage, but still.
I've used heavy stimulants, benzos, opioids, dissociatives without an issue, but nicotine is in a class of its own in terms of how insidiously addictive it is.
But just from a health point of view: extreme arm and hand joint issues, forearm vascular issues that made my hands numb at night, palpitations/arrithmia like I was about to die when I used nicotine before sleep and I was drifting to sleep -- it really felt like I was about to die, like my heart was mangled up.
Only if you don't have psychological issues, then none of that really works.
I've done all the sleep hygiene and it does help a bit, but sleep polysomnogram shows my sleep architecture is toast + loads of microawakenings (and no sleep apneea).
>The older I get the more sensitive to a single poor night's sleep I become.
Back when I was 20 I had a drinking problem. One time I drank so much that I passed out sitting at a table. Woke up with friends having stripped my clothes and washed them.
I woke up at 9AM, feeling 100% sober, just anxious about my 20 missed calls from my mom.
I got a bit drunk at about 33 and next day I thought I was dying.
That's how I learnt what hangovers were.
Again, at around 25, I helped my brother in-law move bee hives all night, including some 8 hours of driving.
Went straight to work and in the evening I had dinner with my wife at a restaurant.
Now I crash in bed at 9PM and if I'm lucky, I also sleep (but quite often I wake up at 2AM).
Getting old(er) sucks, and I'm only 42 and I miss so much how nice being in my 20 something body felt all the time.
I am a strong believer and selected as power user because of AI usage metrics, but I also see perverse incentives -- a colleague was desperately searching for me on the Claude token usage leaderboard (I was part of a different group he did not have access to) -- it was clear he was actively trying to climb that leaderboard.
Meanehile our average PR loc balooned to ~2000loc -- generated with Claude, reviewed with copilot but colleagues also review it with Claude because it gives valid nitpicks that bump up your github stats, while missing glaring functional/architectural issues, overenginerring issues.
No way this doesn't blow up down the road with the massive bloat we're creating while getting high on the "good progress" we're making.
Yes, your 3 minutes prompt got merged.
So was my friends(ex-programmer now manager) non-ai generated PR that a technical TL got stuckstuck on for 2 weeks.
Different perspective? Survivor bias? High authority?
it has to be some amazing router and while the models are open-weights, the knowhow to run them efficiently surely is not?