I recall lots of unicode obfuscators were popular turning letters to similar looking symbols to bypass filters/censors when the forum/websites didn't filter unicode and filters were simple.

Or before that, remember 1337? :D

Leetspeak (https://en.wikipedia.org/wiki/Leet), and similar things obfuscating letters with numbers/ punctuation/ symbols (or subsequently, obfuscated with Unicode or lookalikes).

Now experiencing a renaissance on YouTube et al. to legitimately refer to terms like murder, suicide etc. which will typically get a channel or user demonetized/banned/blocked by internal search engines/etc.

Exactly. So many words are being "censored". As if "k*ll" does not make us think of "kill" or something. I do not see how it helps or solves anything. It is absurd to me.

Crime is mostly individual and income-driven, so its both not community-policed and inversely proportional to income level. Laws against crime require police to effectively enforce them, as community cannot "reduce crime" without significant investment and focus on it(police is significantly more effective vs vigilantes/citizen patrols). Whichever this scheme tries to do, is effectively collective punishment for community not allocating resources for policing itself.

What is the real-world fidelity of this "decoding both perceptual and mental content"? Can it record dream as video?

> The Firefox brand is getting a refresh and you get the first look.

Except those who have to solve reCaptcha and leave it instantly.

> Release the hypnodrones

If you are not building the next paperclip optimizer the competition already does!

SamA actually said perhaps data centres should occupy the majority of the earth’s crust.

it was part of this crypto scheme: https://en.wikipedia.org/wiki/World_(blockchain)

The only thing that passed the test of time,so far is specificity: if you ask for multiple things or vague things, you receive half-baked answers trying to cover all bases. If you ask for specific one thing and describe it, the answer quality goes up;e.g. LLMs creating multi-part content mix up the parts and qualities of them, so e.g. asking for Part 1*specific, will always get a better answer than "list all parts of X"(quality drops with length of list).

The macros are fine as concept, i've used something similar before for reducing code size,e.g. defining hundreds of similar functions and stuff. What is incomprehensible and puts the entire thing into "Obfuscated C" territory is one-letter variables. You'll need to memorize all of them and can't reuse them in normal code. If at least the variables were self-descriptive i'd support such coding style, but it clearly need comments.

The only thing that could pop the bubble is an alternative architecture for inference that doesn't need GPU clusters and datacenters to compete within the ecosystem. AI itself isn't going away anytime soon.

It's called humans.

CorticalLabs uses Mouse Embryonic Stem Cells, but human cells might be more effective due human neuron superiority. Just some ethical problems with harvesting and you can build a hyperscale cluster.