Security people should love a delay in distribution as packages wait in the queue. Then they have an opportunity to report before anyone else.
111 karma · joined January 16, 2026
A sudden desire to have a concrete monitor stand appears in my mind.
Practical considerations: I feel like simply adding some cork to the underside of most things would increase compatibility between plastic/alum and the hardness of concrete.
any way to link instances together? I'm interested in something like this to import/export resources etc.
I want this much RAM. this CPU. this GPU. this touch screen. this size. What options? None? what if I remove touch? ok good there's 3. and so on.
All that Pro Plus Premium nonsense is just too much marketing gibberish.
AI data centers should be operated according to two limiting factors.
1) No energy from grid. Can't use coal or fossil fuel energy sources. Must have plan to provide excess TO grid.
2) No use of fresh water from municipal or fresh groundwater for cooling. Can use waste water. Must transition to providing excess fresh water to common supply.
No loopholes. Massive penalties for use of loopholes or breaking rules, not limited to but including complete shutdown of data center.
Those two limits will spur innovation AND prevent AI being criticized for energy use. These rules would hard burn improvements in energy storage and renewables as well as other methods of energy production.
Give them five years to comply to some useful progress percentage. Plenty of time to come up with a transition plan and show sufficient progress to justify further extensions. Realistically it will take 20 years at least to fully realize this plan.
Don't bring up cost. If you do, let me remind everyone that the climate change issue is real enough to hurt now. There's the very real cost of not pursuing these rules. AI has had plenty of time to bootstrap off grid. Now it can begin to migrate to something else instead.
Those with experience with energy generation will realize this plan has ridiculously high reward for those who follow it. Have your cake and eat it too definitely applies.
em-dosbox is a good project.
rayleigh scattering.
what's that?
light from sun bouncing around.
why?
because it does.
why is it blue though?
green was taken.
why?
do you want chocolate or raspberry icecream?
chocolate!
yay!
(No, this isn't the best way. But it was A way and that was enough. The kid became a physics lecturer.)
Playing with APL has really changed the way I look at both.
* people who use it instead of search engines.
* people who use it as a doctor/therapist/confidant. Not to research. But as a practitioner.
There are others:
* people who use it instead of man pages or documentation.
* people who use it for short scripts in a language they don't quite understand but "sorta kinda".
Been on both sides of hiring.
On the hiring side, I no longer believe in skills shortages unless there's obvious particulars. Especially when I don't see those complaining doing any human development around the issue so I rapidly roll my eyes. I've hired people with 1 year experience and gotten better applicants than 3 years. Its becoming clear we can vet people within a month. Much cheaper to bulk hire then let them go as they wash out. Oddly enough they can wash out and still often be transferred elsewhere internally with good results. Hiring for human skills like work attitude and the person's ability to execute has its benefits.
I've seen so many ads for senior this or that but nothing for juniors. So when I see "we can't find skilled people" complaints I'm no longer as forgiving as I otherwise would be.
Of course this opinion is based on my direct experience so others will likely not agree.
My sense of using LLMs for coding is me feeling like a maintenance programmer even though the code is brand new and I'm debugging a LLM misunderstanding. Weird to be working on a 10k codebase that didn't exist a few hours ago and I'm now debugging it over the next 4 hours. Having it done around 16-20 work hours later is really strange.
Python/Ruby/Erlang et all still have a lot of horsepower so I'd not discount them yet.
Do you need further instructions?
Personally I'd approach it using a raspi + python + pygame. Learn the fundamentals there then switch to apple.
This doesn't mean a LLM can't build such things however.