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Its Zak Ha Ha
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Its Zak Ha Ha
@ItsZakHaHa
I'm on here just in time for everyone to move to another platform. HA HA smash your phones
New York, USA Katılım Ocak 2019
376 Takip Edilen210 Takipçiler

Kirk Acevedo has worked for Marvel, DC and has credits that range from Planet of the Apes and Oz to Fringe, Band of Brothers and just about every procedural on TV.
But steady work dried up and he was forced to sell his home to stay afloat as he says middle class actors are being “squeezed out” of Hollywood. hollywoodreporter.com/tv/tv-news/hol…
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The headline here isn’t that Kirk Acevedo is a Marvel/DC/“Apes” guy.
He held *multiple* regular roles on shows like “Law & Order” spin-offs, “Fringe”, “Oz”, “Band of Brothers”, “Twelve Monkeys.”
If residuals from those can’t keep a roof over his head, the industry is screwed.
Variety@Variety
Marvel, DC and 'Planet of the Apes' Actor Kirk Acevedo Had to Sell His Home Because 'Middle Class' Actors Are Getting 'Squeezed Out' of Hollywood variety.com/2026/tv/news/k…
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Every kid who had a TV in the ‘90s has “Je suis la jeune fille!” embedded in their brains like the code word that activates the Winter Soldier
Rhys Pyle@rhyspyle1997
Has anyone ever heard of a television show called Muzzy? It’s about teaching people how to speak different languages.
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Folks, heres a list of things not happening by 2030 that you can take to the bank:
-AGI or any AI at all
-Autonomous vehicles deployed generally
-Autonomous robots of any kind
-datacenters in space
All of these technologies currently rely on regression to work. The first 3 use regression to compute predictions. The last one relies on the regression compute to be practical. All automation up until this point more or less relies on regression. It is incremental, not revolutionary, and IT DOESN’T SCALE. We are seeing this now, as models have now consumed all of the data on the planet and still can’t quite do anything correctly. In small domains with lots of data, it can be practical. Nearly all automation we have today leans on small domains to remain tractable. Once the domain expands, the problem blows up. Variance is the death of regression, data be damned. And the future is more variance than trend.
Humans excel because they are not statistical. They are superstitious. Adaption is quick, but leaves many data points unexplained. Most people who are extremely productive go their whole lives strongly believing a whole host of things that are not true. It is precisely our lack of statistical rigor that makes us effective.
So when you try to recreate human superstition with statistics, compute will blow up and edge cases will snuff it out in the night.
It is a certainty that regressive methods are a dead end. A certainty. It is not practical to require 10,000 humans worth of energy to recreate 1 human output.
Now could someone discover how the mind works and the methods it uses? Absolutely. But no one is looking for it because they are getting paid millions a year to bark up another tree. And once discovered, then a roadmap must be built to get us to systems that can perform it. We must design new chips, develop new material systems, new compute structures, how to interface them with conventional computing, and on and on and on. It’s a decade+ job once the roadmap has been developed. We don’t even know where to start!
The sooner we abandon the bankrupt religious belief that AI will save us, the better we will be. Because every day we ignore reality is another day for our problems to metastasize.
AI will not solve our problems. Robots will not solve our problems. We must solve our problems ourselves. And we could start building a roadmap for that today.
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