xianc78 @xianc78@gameliberty.club

Mark Zuckerberg, the CEO of Meta, has finally admitted what we knew all along: Facebook conspired with the government to censor individuals expressing “disapproved” views about the COVID-19 pandemic.
https://www.activistpost.com/2024/08/technofascism-the-government-pressured-tech-companies-to-censor-users.html

Earlier this year, NPR's Code Switch discussed, "The conspiracy theory alleges that a shadowy global elite conspires to control the world's population, in part by forcing them to eat insects." Well, do we have news for them...
https://www.activistpost.com/2024/08/bug-diets-once-labeled-conspiracy-theory-by-msm-now-becomes-fact-after-uk-govt-backs-sustainable-food.html

DOOM has been ported to Stable Diffusion. As in, this is literally being run on nothing but stable diffusion frames and a "memory" that allows the machine learning algorithm to infer what the next frame should look like based on input. It's literally making all of this up in real time.

As wars in Ukraine and the Middle East continue to rage, Vertical Research Partners forecasts top weapon manufacturers will experience record cash flow during the coming years.
https://www.activistpost.com/2024/08/top-defense-firms-set-for-another-record-cash-flow-year-as-wars-rage-in-ukraine-gaza-lebanon.html

@Aether I would be better to call them brute force pattern recognition models.

Why AI can't spell "strawberry".

techcrunch.com/2024/08/27/why-ai-cant-spell-strawberry/

I've said before that what we are currently calling AI models, which is really just Large Language Models or LLMs, don't understand anything at all except language. They're language models. That's what they do, and it's all they do.

Except that's not quite true, because they don't understand language in any real way either.

>The failure of large language models to understand the concepts of letters and syllables is indicative of a larger truth that we often forget: These things don't have brains. They do not think like we do. They are not human, nor even particularly humanlike.

>Most LLMs are built on transformers, a kind of deep learning architecture. Transformer models break text into tokens, which can be full words, syllables, or letters, depending on the model.

>"LLMs are based on this transformer architecture, which notably is not actually reading text. What happens when you input a prompt is that it's translated into an encoding," Matthew Guzdial, an AI researcher and assistant professor at the University of Alberta, told TechCrunch. "When it sees the word 'the,' it has this one encoding of what 'the' means, but it does not know about 'T,' 'H,' 'E.'"

Typeahead with delusions of grandeur.

New motto

#Mitra v3.3.0

https://codeberg.org/silverpill/mitra/releases/tag/v3.3.0
https://codeberg.org/silverpill/mitra-web/releases/tag/v3.3.0

- Bookmarks.
- Custom emojis in bio.
- Added popular unicode emojis to emoji picker.
- Displaying downvotes on Lemmy posts.

Stretching every day might just add years to your life, it seems. A new study has uncovered an intriguing connection between body flexibility and longevity in middle-aged adults. #Health
https://www.naturalblaze.com/2024/08/flexibility-could-be-key-to-longer-life.html

In #surveillance perspective is everything. Your viewpoint affects what you will see and therefore what you will miss. And we are missing a lot. #biometrics
https://www.activistpost.com/2024/08/remote-biometric-surveillance-and-policing-a-new-frame-of-reference.html

The recent CrowdStrike situation is perhaps the worst web disruption ever, and that was just a bug in a software update. Imagine if someone wanted to deliberately damage internet functions for an extended period of time? The results would be catastrophic.
https://www.activistpost.com/2024/08/recent-events-prove-western-nations-are-highly-vulnerable-to-cyber-calamity.html

Have you noticed an unusual number of vehicles in the parking lots of major retailers in your area at night? If you look closely enough, you will see that many of those vehicles actually have people sleeping in them.
https://www.activistpost.com/2024/08/if-everything-is-so-great-why-are-millions-of-americans-sleeping-in-their-vehicles.html

Follower counts are essentially Shitcoins. They change constantly and can't be accurately tracked because of Nostr's decentralized manner.