European Union (EU), there are several types of social media content that are considered illegal.
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* Incitement to Terrorism: Any content that encourages or promotes terrorist acts, violence, or extremism is prohibited.
* Illegal Hate Speech: Social media posts that spread hate based on race, ethnicity, religion, gender, sexual orientation, or other protected characteristics are not allowed.
* Child Sexual Abuse Material: Sharing, distributing, or creating content related to child sexual abuse is strictly illegal.
* Infringements of Intellectual Property Rights: Posting copyrighted material without proper authorization violates intellectual property rights.
* Consumer Protection Violations: Misleading advertisements, scams, or fraudulent content that harms consumers are prohibited.
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These rules are further strengthened by stricter regulations for four specific types of content, which have been harmonized at the EU level:
* Child Sexual Abuse and Exploitation Directive: Focuses on combating child sexual abuse material.
* Counter-Racism Framework: Aims to prevent and combat racism and xenophobia.
* Copyright in Digital Single Market Directive: Deals with copyright infringement online1.
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You could ideally put the EU illegal categories in a drop down like old Slashdot Style - but each mod who selects the same selection from the drop down adds a point to the tag - the post is removed upon some thresholds of the points.
This could be different for each reagion - and a post could be flagged with points for each region... so have a region selection, then the illegal tag list sets to that region. A post maybe could be tagged by multiple regions infractions based on where the mod sits?
Also - you can keep metrics for all posts flagged for what infraction types for - plus you can move them to the "if law enforcement needs this post S3 bucket" -- based on whatever time period the laws require.
But I realize you are correctin the mirroring - I immediately thought it was ray tracing the green hue from the reflection onto a surface that could see it...
Inference is far more efficient - however - it would be really interesting to know HOW an AI 'thinks' about such reflections?
Whats the current status of AIs documenting themselves?
What if you can | a scene to a model and just have it calc all the ray-paths and then | any color/image... if you pre-calc various ray angles, you can then just map your POV and allow for the volume as it pertains to your POV be mapped with whatever overlay you want.
Here is the crazy cyberpunk part:
IT (whatever 'IT' is) keeps a lidar of everything EVERYONE senses in that space and can overlap/time/sequence anything about each experience and layer (baromoter/news/blah tied to that temporal marker)
Micro resolution of advanced lidar is used in signature creation to ensure/verify/detect fake places vs IRL.
Secret nodes are used to anti-lidar the sensors... so a place can be hidden from drones attempting to map it.
These anonolies are detectable thou, and GIS experts with terra forming skills are the new secOPs.
Fn dorks.
-- so, you already have an asset, lets say its a CUBOID room - with walls and such of wood texture_05.png
>>>How does it perform on 3090, 4090 or less? Are us mere mortals gonna be able to have fun with it ?
>>>Its in sizes from 800m to 8b parameters now, will be all sizes for all sorts of edge to giant GPU deployment.
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Can you fragment responses such that if an edge device (mobile app) is prompted for [thing] it can pass tokens upstream on the prompt -- Torrenting responses effectively - and you could push actual GPU edge devices in certain climates... like dens cities whom are expected to be a Fton of GPU cycle consumption around the edge?
So you have tiered processing (speed is done locally, quality level 1 can take some edge gpu - and corporate shit can be handled in cloud...
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Can you fragment and torrent a response?
If so, how is that request torn up and routed to appropriate resources?
BOFH me if this is a stupid question? (but its valid for how we are evolving to AI being intrinsic to our society so quickly.)
HellDivers 2 LFG rn is all about sharing Friendcodes... you can get a ton of them on discord or reddit... but then you end up haveing a "friendcode" cybermentally-distributed DNS system for them over time.
Six degrees will still exist.
(funny weird thing is that with HD2's server issues due too demand, one way to harvest this would be to create a fake LFG host game and have tons and tons of accounts bang against your HellDiver-Pot - and get whatever you can scrape from that?
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OK - I actually went down this hole the other daty... you look at the reddit thread on helldrivers for LFG - or the discord...
So on reddit, you just put .json at end of thread - DL the entire thread as json, now you have reddit id, location, play style, etc, details AND their friendcode on HD2...
but since they can individually generate random friend codes on any game/system that allows such... you have a breadcrump (with enough attention span to just correlate all the shared info between these friend codes and data received...
still - even with random friend codes - six degrees is still available, easily.??
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I deeply hope they do a Tech Talk on the post-mortem of this lauch success spiral - its fascinating....
But one thing I am really interested in, this is based on the Autodesk Engine, I know they co-dev-dog-fooded, but I hadnt really known of this engine at all... what little I do know, is that - its amazing...
But I'd really like to know more about the arch and overall traffic flows etc of this game.
Its beautiful see "problems" like this explode in like ~2 weeks.
What do internet traffic graphs look like since growth, per carrier?
Serious: Can one just pipe an SRT (subtitle file) and then tell it to compare its version to the mp4 and then be able to command it to zoom, enhance, edit, and basically use it to remould content. I think this sounds great!
