Everything old is new again: memory optimization

I look at memory profiles of rnomal apps and often think "what is burning that memory".

Modern compression works so well, whats happening? Open your taskmaster and look through apps and you might ask yourself this.

For example (lets ignore chrome, ms teams and all the other bloat) sublime consumes 200mb. I have 4 text files open. What is it doing?

Alone for chrome to implement tab suspend took YEARS despite everyone being aware of the issue. And addons existed which were able to do this.

I bought more ram just for chrome...

FB and so are CIA fronts and they can do anything they please. Until they hit against Disney and lobbying giants and if a CIA idiot tries to sue/bribe/blackmail them they can order Hollywood to rot their images into pieces with all the wars they promoted in Middle East and Latin America just to fill the wallets of CEO's. That among some social critique movie on FB about getting illegal user data all over the world to deny insurances and whatnot. And OFC with a clear mention of the Epstein case with related people, just in case the Americans forgot about it.

Then the US industry and military complex would collapse in months with brainwashed kids running away from the army. Not to mention to the Call of Duty franchise and the like. It would be the end of Boeing and several more, of course. To hell to profit driven wars for nothing.

Ah, yes, AIPAC lobbies and the like. Good luck taming right wing wackos hating the MAGA cult more than the 'woke' people themselves. These will be the first ones against you after sinking the US image for decades, even more than the illegal Iraq war with no WMD's and the Bush/Cheney mafia.

The outcome of this? proper and serious engineering a la Airbus. Instant profit-driven MBA and war sickos being kicked out from the spot. OFC the AI snakeoil sellers except for the classical AI/NN against concrete cases (image detection and the like), these will survive fine, even better because these kind of jobs are highly specific and they are not statistical text parrots. They can provide granted results unlike LLM's prone to degrade because the human based content feeding needs to be continuous, while for tumour detection a big enough sample can cover a 99% of the cases.

R&D on electric vehicles/energy and nuclear power like nowhere else. And, for sure, the EV equivalent of a Ford T for Americans. A cheap and reliable one, good enough for the common Joe/Mary without being a luxury item. A new Golden Age would rise, for sure. But the oil mafia will try to fight them like crazy.

delaying comp sci differentiation for a few months

I wonder if assembly based solutions will become in vogue

    >>> 'x\u2009   a'.split()
    ['x', 'a']
    # incorrect; in bytes mode, `\S` doesn't know about unicode whitespace
    >>> list(re.finditer(br'\S+', 'x\u2009   a'.encode()))
    [, ]
    # correct, in unicode mode
    >>> list(re.finditer(r'\S+', 'x\u2009   a'))
    [, ]