My question simply relates to whether I can support the software development without supporting lemmy.ml.
No. You can’t support Lemmy without supporting lemmy.ml because the developers use lemmy.ml for testing. They have not created a means for users to separate out their donations from one or the other.
That’s why others are suggesting you should just support a different but similar fediverse project like PieFed or Mbin instead.
I think you missed the part at the very end of the page that showed the timeline of them reporting the vulnerability back in April, being rewarded for finding the vulnerability, the vulnerability being patched in May, and being allowed to publicize the vulnerability as of today.
Do you even realize how broadly AI is used today?
If you pass that law, you’re throwing all gamers in jail simply because they enabled NVIDIA’s DLSS.
Might as well throw researchers in jail because they’re using AI to find treatments for rare diseases or to find planets in other solar systems:
Used AI to detect what kind of bird/animal/insect you came across? Believe it or not, straight to jail:
Legally mandating watermarks on any AI generated watermarks is a bad idea.
It’s good practice for these companies to add a watermark, but when you add a “legal” requirement, you’re opening up regular artists/authors to getting dragged through the legal system simply because someone (or some corporation) suspects that an AI tool was used at some point in the work’s creation.
Edit: This is probably the wrong community for asking this question since this community is meant for tech related news. c/asklemmy might be better or !technology@piefed.social allows for discussions on anything tech related.
Smart meters work mostly the same way meters have always worked with one minor difference, they occassionally transmit the current value via a radio frequency. Same as always, you install them at some point where they can measure just how much water/electricity/gas is flowing into the home. The transmitting frequency will be different depending on the device and what country you live in.
If you want to see the details on how water meters measure water flow, go here: https://en.wikipedia.org/wiki/Water_metering
If you want the details on how gas meters work with all of the different sensors for that, go here: https://en.wikipedia.org/wiki/Gas_meter
If you want the details on how electricity meters work, go here and read the “Electromechanical” and “Electronic” sections: https://en.wikipedia.org/wiki/Electricity_meter#Electromechanical
Some newer meters are setup to attempt to guesstimate additional information such as what is being used in your home. For instances with water meters, a small flow of water for a short time can mean the faucet was turned on, or a toilet was flushed. A larger flow for a longer time can mean that the bathtub is being used, or a shower, or an appliance (dishwasher/laundry), etc.
“environmentally damaging”
I see a lot of users on here saying this when talking about any use case for AI without actually doing any sort of comparison.
In some cases, AI absolutely uses more energy than an alternative, but you really need to break it down and it’s not a simple thing to apply to every case.
For instance: using an AI visual detection model hooked up to a camera to detect when rain droplets are hitting the windshield of a car. A completely wasteful example. In comparison you could just use a small laser that pulses every now and then and measures the diffraction to tell when water is on the windshield. The laser uses far less electricity and has been working just fine as they are currently used today.
Compare that to enabling DLSS in a video game where NVIDIA uses multiple AI models to improve performance. As long as you cap the framerates, the additional frame generation, upscaling, etc. will actually conserve electricity as your hardware is no longer working as hard to process and render the graphics (especially if you’re playing on a 4k monitor).
Looking at Wikipedia’s use case, how long would it take for users to go through and create a summary or a “simple.wikipedia” page for every article? How much electricity would that use? Compare that to running everything through an LLM once and quickly generating a summary (which is a use case where LLMs actually excel at). It’s honestly not that simple either because we would also have to consider how often these summaries are being regenerated. Is it every time someone makes a minor edit to a page? Is it every few days/weeks after multiple edits have been made? Etc.
Then you also have to consider, even if a particular use case uses more electricity, does it actually save time? And is the time saved worth the extra cost in electricity? And how was that electricity generated anyway? Was it generated using solar, coal, gas, wind, nuclear, hydro, or geothermal means?
Edit: typo
I really like the “Feeds” feature of PieFed, it allows anyone to combine all of the different communities into a single feed. It really makes browsing something like “Technology” a lot better.
Based on the uptick in “I was banned from Reddit” posts, I’m thinking that we’re getting a lot more users that were banned for good reason from Reddit. Looks like Reddit has also stepped up their game in their ability to keep those users off their platform.
I had to click to figure out just what an “AI Browser” is.
It’s basically Copilot/Recall but only for your browser. If the models are run locally, the information is protected, and none of that information is transmitted, then I don’t see a problem with this (although they would have to prove it with being open source). But, as it is, this just looks like a browser with major privacy/security flaws.
Reading into it a bit more:
Yeah, the part about sending my data of everything appearing on my browser window (passwords, banking, etc.) to some other computer for processing makes the other assurances worthless. At least they have plans to get everything running locally, but this is a hard pass for me.