Spyke

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196

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thanks lain (rule)

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It's not that it's on the 172.16.0.0/12 range. That's totally normal and used for all kinds of stuff.

It's that it's in 172.16.42.0/24 which is the default dhcp settings for a wifi pineapple. It's the /24 mask given on the .42 that's a little suspicious because that's not a common range for anything else.

Being assigned one of those specific 253 hosts with that subnet mask would definitely make me think twice.

fuck_ai

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Found in Firefox after update

I'm not anti-ai at all but this sort of thing feels like a security vulnerability to me?

Any website with a malicious prompt injection on it could instruct the ai to scam the user.

Almost like xss but instead of needing malicious user-inputted js, malware targeting the ai can just be written in text so an attacker could put it in a comment or whatever.

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._.

But what volume would it be? Is it a small amount of glitter or a lot? What's the g/cm³ of glitter? What about tiny bits of uranium? I feel like all the little bits of air between the glitter particles would lower the density compared with just a solid block of uranium which would increase the volume but....

I feel like someone should put some numbers in this thread.

196

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you know what

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Pretty sure it's an autocomplete (like copilot or something)

They were typing

progress != "Hold"

And the ai autocomplete suggested

progress != "Hold onto your butts!"

Hence why the completion part is in grey (it's a suggestion)

til

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TIL 18th Century Norwegian swashbuckler Peter Tordenskjold once ran out of ammo during a sea battle so he sent his enemy a letter thanking him for "a fine duel" and asking him to send more ammo so the

The most popular brand of matches in Denmark is called Tordenskjold. In the late 1800s, Sweden had a large export production of matches, so a Danish manufacturer put Tordenskiold's portrait on his matchbox in 1882, in the hope he could once more strike at the Swedish (Danish: give de svenske stryg).[13] The Tordenskjold brand was bought by a Swedish company in 1972.[14]

Ouch.

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Woman divorces husband after ChatGPT reads his coffee grounds and predicts affair

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A lot of non-native English speakers use online communication to practice and most want to be corrected so they can improve.

A lot of native English speakers make mistakes accidentally, or speak with a dialect and some of them get really angry when people try to correct them.

It's sometimes tricky to know which is which. The best solution is for everyone to just be kind to each other but...

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Open source projects drown in bad bug reports penned by AI

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One thing you gotta remember when dealing with that kind of situation is that Claude and Chat etc. are often misaligned with what your goals are.

They aren't really chat bots, they're just pretending to be. LLMs are fundamentally completion engines. So it's not really a chat with an ai that can help solve your problem, instead, the LLM is given the equivalent of "here is a chat log between a helpful ai assistant and a user. What do you think the assistant would say next?"

That means that context is everything and if you tell the ai that it's wrong, it might correct itself the first couple of times but, after a few mistakes, the most likely response will be another wrong answer that needs another correction. Not because the ai doesn't know the correct answer or how to write good code, but because it's completing a chat log between a user and a foolish ai that makes mistakes.

It's easy to get into a degenerate state where the code gets progressively dumber as the conversation goes on. The best solution is to rewrite the assistant's answers directly but chat doesn't let you do that for safety reasons. It's too easy to jailbreak if you can control the full context.

The next best thing is to kill the context and ask about the same thing again in a fresh one. When the ai gets it right, praise it and tell it that it's an excellent professional programmer that is doing a great job. It'll then be more likely to give correct answers because now it's completing a conversation with a pro.

There's a kind of weird art to prompt engineering because open ai and the like have sunk billions of dollars into trying to make them act as much like a "helpful ai assistant" as they can. So sometimes you have to sorta lean into that to get the best results.

It's really easy to get tricked into treating like a normal conversation with a person when it's actually really... not normal.

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Data center "mistakenly" used 30 million gallons of water

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This was actually used during construction work. This particular data centre is closed loop and won't use much water at all once it's built.

From the actual article:

The company said its water consumption was so high last year because of temporary construction-related activities, such as concrete work, dust control and site preparation. Once operational, the company said the data centers only will use water for domestic needs, such as bathrooms and kitchens. That will total the equivalent of what four U.S. households use per month, the spokesperson said.

Data centres with evaporative cooling can use huge amounts of water. Whether that's bad/dangerous depends on the location and the water supply. That does go back into the water cycle, it's not like fossil fuels where the resource gets destroyed but there are places where data centres are contributing heavily to droughts or water shortages and causing water prices to rise and are dumping hot water into waterways which kills wildlife and encourages things like algal bloom and bacterial growth etc.

Usually that's in places where there are regulatory failures and underfunded environmental protection. Usually the same places you find mass runoff of agricultural phosphates, PFAS and similar polyflural dumping from chemical plants etc. Where corporations pay their way into regulatory capture.

It's a real serious issue that's nuanced. Not every data centre is being built for AI (a huge amount is for video encoding and streaming all these tiktooks, reeliess, tubes and netting flixes) and not every data centre is an ecological disaster. A lot are also building their own solar and batteries because in some places its cheaper long term than paying for the grid. There's also a bunch building/buying shitty gas or coal plants for the same reason.

The electricity generation can also eat more water because power plants need cooling too. Again, the ecological impact of that is hugely dependent on the location.

Essentially, it's a big nasty problem that is complex and situational and different in different areas, that is easy to simplify to "AI is destroying all our water!" in order to get quick clicks and outraged interactions.

"Evil AI Data Centre Steals Town's Water Supply!" Is a much snappier headline that gets shared much farther than "Construction Site Screws Up Their Pipes and Water Meters then Pays Their Water Bill!"