it’s really good at the mind-numbing work of throwing out noise and junk from broadcast satellites and known radio sources.

That’s the key when you’re looking at applications for machine learning. If you can find a task that’s simple but hard to scale because it requires a human expert then it is very likely that a trained neural network can do ‘good enough’ work at 1,000x the speed.

The results won’t be perfect but, then again, they wouldn’t be perfect even if you assigned the project to undergraduates with two decades of training. You still need an expert human supervisor who’s validating the results and tweaking the system.

In these limited cases, machine learning tools are pretty amazing and they give us capabilities that simply were not available to the average person 5 years ago. I’m not on the AI hype train in terms of the current capitalist casino bubble (chatbots and image generators are toys, not an industry), but from an academic point of view these tools are astonishingly powerful in the right context.

My idea would be a completely peer to peer system with the possibility of allowing your data to be cached to servers (so your phone isn’t serving a viral video to 10,000,000 viewers, for example) that you choose/own/rent.

Even instances are vulnerable, probably moreso in some areas. For example, if someone bribed the owner of this instance to allow for them to insert malware payloads into the site’s javascript it would be much harder to detect than if Facebook did the same (less eyes on the problem).

It does save us from The Algorithm and the resulting propaganda, so it’s a positive step imo… but you’re right that it needs improvement.

This system wouldn’t a simple ‘put image into a multimodal LLM and get an answer’ like using ChatGPT.

It’d do things like image segmentation and classification, so all of the parts of the image are labeled and then specialized networks would take the output and do further processing. For example, if the segmentation process discovered a plant and a rock then those images would be sent to networks trained on plant or rock identification and their output would be inserted in to the image’s metadata.

Once they’ve identified all of the elements of the photos there are other tools that don’t rely on AI which can do things like take 3D maps of an suspected area and take virtual pictures from every angle until the image of the horizon matches the image in the pictures.

If you watch videos from Ukraine, you’ll see that the horizon line is always obscured or even blurred out because it’s possible to make really accurate predictions if you can both see a horizon in an image and have up to date 3D scans of an area.

The research paper that you’re talking about was focused on trying to learn how AI generate output from any given input. We understand the process that results in a trained model but we don’t really know how their internal representational space operates.

In that research they discovered, as you have said, that the model learned to identify real places due to watermarks (or artifacts of watermark removal) and not through any information in the actual image. That’s certainly a problem with training AIs, but there are validation steps (based on that research and research like it) which mitigate these problems.

I think that it’s awesome and congrats to whatever group put that together.

This is an entirely predictable outcome, the only reason that AI robotics have taken so long to catch up to LLMs and image generators is because there isn’t an Internet full of thousands of TBs of text and images to train on.

It takes time to develop the training sets for robots and the easiest data to generate would be human generated so humanoid robots are the inevitable outcome of the data required to train these networks.

Oh yeah, the federated social media software isn’t perfect, I agree.

However, by leaving these giant advertising companies and data silos who side-hustle as a ad-ridden social media sites, we blunt that power which is being used to pour propaganda and misinformation into democratic systems around the world at the whim of a few individuals.

I’ll take some lost data, deleted instances and migration difficulties in exchange.

In addition, any organization that’s using this at scale will also have human experts to handle the edge cases and to validate the system’s findings.

We can’t copy the human expert without years of training, but copying a program/computer system is only a few terminal commands. The ability to do this kind of thing at scale is entirely new.

Landlords don’t have any money other than rent. This is a tax on tenants with extra steps

The landlords that this is targeted against are not the slightly rich guy who owns an apartment building, it’s people like Citadel LLC who has nearly $70 Billion dollars of assets under management, a large portion of which are rental properties.

Those landlords have the money to pay the taxes. They own much more expensive properties, many of which are held empty and are limited in how much they can raise their prices indirectly, due to them already charging as much as the market will bear and also directly by Mamdani freezing rents.

In addition, many wealthy people in NYC own expensive housing (including Trump) that they use and do not rent.

You found the right workaround.

The Arch Wiki calls this “Loop routing,” where NetworkManager attempts to route traffic to the WireGuard peer’s endpoint through the tunnel itself, creating a routing loop. This occurs because the endpoint IP gets matched by the AllowedIPs ranges, causing the kernel to send handshakes over the tunnel interface instead of the physical interface. Excluding the peer endpoint from AllowedIPs is the standard fix.

Here’s the ArchWiki link (for future readers mostly, you already got it :P): https://wiki.archlinux.org/title/WireGuard#Loop_routing

Digg may be ok…

No.

All of these services are okay at the beginning. That’s how it always starts, then in a few years there’s an optional subscription and then there are now tiers to the subscription and now you have to use their app and give it every permission on your phone, etcetc.

Stop going to these centralized services. The centralization of ownership is the problem, not any specific website or owner.

It’s one of those tasks where it has a bunch of little components, each of which is easy to do (like identifying a store, or mineral formation, or road signs, etc) and so it is a thing that you can design machine learning tools around the individual tasks (‘what is this rock?’) and then instead of needing a highly trained human being to take a few minutes/hours to go through all of the details from memory, you can just push thousands of pictures through an AI system and get ‘good enough’ results.

It seems like there is a company selling such a ‘good enough’ service.

It’s doing what the Geo Guesser-like people do.

Like ‘this kind of rock formation only appears in Eastern Europe, the wheel you see in the lower left of the screen has Cyrillic writing and if you look in eastern Europe there is one mountain formation that looks like the picture when viewed from a specific angle and so they had to be within this 50m circle’.

Once the smoke from the concentration camps clear, at least

Is that a real post? o.o

e: yes - https://www.instagram.com/p/DS8Tx3XCRLQ/?hl=en

https://www.commondreams.org/news/dhs-100-million-deportations

This is a conspiracy I can get behind!

Oh yeah this part is 100% my personal inference:

That makes me think that they would use the SSN database and other intelligence sources in order to setup the system to fail at a much higher rate for everyone but likely MAGA voters.

It isn’t completely baseless, the DHS has created a tool called Systematic Alien Verification for Entitlements, or SAVE. The push on the right is to make it so that everyone has to prove their citizenship in order to vote. So a system like this SAVE system is what they would want to put in place to make it easy to ‘verify citizenship’ at polling places.

Having an electronic tool who’s underlying system is a complete black box and exclusively controlled by the executive branch which has been shown to incorrectly identify people’s citizenship status would allow a group acting in bad faith to surreptitiously introduce ‘errors’ that affect voters who have been identified (by the domestic spy network that is Google and Co.) as being likely opposition voters.

I’m not saying that this is what IS happening. I’m saying that this system is exactly the kind of system that you would design if you were trying to do what I’m suggesting.

Here’s a source about the system, because you shouldn’t just trust ‘people’ on the Internet:

https://www.propublica.org/article/save-voter-citizenship-tool-mistakes-confusion

The Trump administration is building a computer system so that States can ‘verify’ a person’s citizenship prior to allowing them to vote.

This system has failed in many, many ways. That makes me think that they would use the SSN database and other intelligence sources in order to setup the system to fail at a much higher rate for everyone but likely MAGA voters.

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Meta knows that you don’t have to be dead for this to work, now you can respond to your friends on Facebook in a manner that most optimizes engagement… whether you want to or not.

They also won’t let a little thing like you being dead stand in the way of their monetizing your data, it isn’t like you can sue them for impersonation or anything.

The moment you give me a link to a banana tree/MP3 player/ripeness tester/EQ:

I love how autistic lemmy is.

The Internet is a weird place where people know how to read without actually understanding what they’re reading.

Reading everything literally has to be the most confusing thing in the world. Though it does make The Onion a bit better.

Appreciate that some multiplayer games won’t work, but Arc Raiders does and that’s all my group are playing at the moment.

I always look at it like this:

Even if I wanted to play those games, I want to play a lot of other games too and so I’ll worry about the handful of kernel anti-cheat games once I run out of other, equally interesting, games to play.