Do yOu tRUsT tHiS maChiNe?

Better: face recognition. In AI age.

Absolutely bonkers powerlevel on this one.

ETB, card advantage, ok stat, search TWO.

This will be setting up some 2 card combos.

Crack a fetchland to draw a card huh.

Cardtrader / Cardmarket.

First one aggregate all the items in their warehouse and you can send one big package at the end. But just bear in mind that the waiting time till the last items actually arrive to their warehouse can be really slow (it’s probably on the post). You don’t pay for to warehouse delivery if you apply certain filters, but cards there cost bit more on avg than cardmarket, plus they charge fees.

I used it a lot, but now I stick with market.

Nothing beats this gem

Minimal viable local AI that can actually solve problems in agentic mode is qwen 3.8 dense/flash. You are looking at fat ass pc with 16 gb vram 64 ram for flash or 32vram for dense.

Maybe if not for AI bubble prices on hardware, that would be affordable. But today it costs a whole lot for a machine that ideally shouldn’t be the same you are working on - cause whatever you use will eat vram/ram.

And invalidate cache in the process, so full context prefill kicks in

Kinda yes, because energy grid can go off due to planned and unplanned shutdowns.

They are still cheaper ones (in Ukraine).

Real. Also: AI bad. If you think that AI is actually useful you’ll be downvoted to hell and below.

You do realize that reactive jet shahed interceptors are also using starlink and also hit the speed limit wall?

Those who need to take pills with the exact timing

What we call hallucinations is operating on a lot of assumptions while you don’t have enough data, instead of saying “I actually don’t know what am I doing”. People do it too.

It’s not like that’s not a problem, sure, but the further this tech goes, the better it is at not hallucinating hard.

Confidently incorrect. It has reasoning layers. It creates new text based on the context of the previously written conversation. That conversation could be in the context of things that weren’t in it’s training dataset, and you still will receive some sort of an answer.

You don’t need a datacenter to run LLMs. A decently strong PC can run useful stuff already. The real fight is not anti-AI, the real fight is locally run AI (means of production you own) vs datacenter AI (means of production you rent, that can be restricted any moment).

AI is means of production today.

Positive line (for them) is that it helps russia.

Kinda the opposite. Openrouter exist and you can host any model, but even within the model there are bunch of params that affect how good is the output you get.

And while most hosts list these upfront, & you just gotta be smart enough to request with specific requirements, I’ve heard there are still good reasons to just stick to a list of trusted hosts sometimes, I don’t really remember what was the issue, quantinizastion level that they aren’t honest upfront maybe.

Kimi k3 has 2.8T, so it’s not even the chonkiest open weights model now