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Comment And this is a major reason I run a local model. (Score 1) 1

There are five reasons I can think of to run an open model locally:
* This. I'm not sharing your prompts with anyone, so I don't have to worry about who reads them or how they might misinterpret them.
* Freedom of model choice. I often want help with writing plots that involve unethical and/or illegal activities, and any model that refuses to play along gets the boot.
* No rugpulls. If I want to run Gemma 4 31B forever, nobody is going to swap it out against my will.
* No usage limit, and no bill. As a practical matter, this is replaced by the speed of my hardware.
* No Internet required to run. My desktop computer rarely finds itself in this position, but it's still nice to know I'm not dependent on a connection.

Submission + - What happens to what you share with AI (axios.com) 1

alternative_right writes: AI companies are seeking access to data beyond the chat window.

OpenAI last week announced an optional Computer History feature that lets ChatGPT retain a record of the apps and websites a person uses.
Google, meanwhile, said last month it will use photos and other material people upload through Search to train its AI systems by default, though users can opt out.
The upside is the potential for more useful, personalized AI. The tradeoff is giving companies a broader and more continuous view of users' lives.

Submission + - Jellyfish knock out French nuclear plant (latimes.com)

Bruce66423 writes: 'A “massive influx” of jellyfish has forced Electricite de France to shut three units at its Gravelines nuclear power plant and reduce output at a fourth, curbing power supply at a time when extremely hot weather is boosting demand. That’s taken some 3.2 gigawatts of capacity offline.

'Last year, it faced similar problems when swarms of jellyfish clogged up filter drums.'

The SF plot line question is: what did it do to upset the jellyfish? The more prosaic one is to ask why they didn't do something about the jellyfish after last year's problem?

Submission + - Ukrainian's claim Ubiquiti Supplying Russia's 'Human Safari' Drone Kill Zone (aol.com)

AmiMoJo writes: DiCello Levitt LLP today filed a human rights lawsuit against Ubiquiti Inc., alleging the New York-based technology company helped power the battlefield communications network Russia uses to hunt, target, and kill Ukrainian civilians with drones.

Filed in the U.S. District Court for the Southern District of New York, the lawsuit is brought by Ukrainian civilians and family members of civilians killed or injured in Russian drone and drone-assisted attacks. It alleges that Ubiquiti's long-range wireless radio bridge antennas and airMAX technology became critical infrastructure in Russia's command-and-control network — connecting drone pilots, reconnaissance feeds, commanders, and attack units in real time across a roughly 100-kilometer "kill zone" that Russian operators have turned into a "human safari."

Comment Re:yeah (Score 1) 187

This is why I've abandoned Reddit (for the second time), almost exactly the day after my first Cake Day with the new account. I appealed the second one-week ban and it surprisingly got overturned, but I decided I was still done with them. In my particular case, it was a comment on the video of the incident at a Cubs game where a middle-aged to elderly veteran slapped someone in the head for not standing up for the national anthem. All I said was "that guy better watch his knees, that's where I'd be targeting if he had slapped *me*." Yeah, advocating anything other than curling up in a ball and accepting damage is seen as "promoting harm". Fuck that.

Submission + - This 'adversarial' pattern can prevent surveillance cameras from detecting you (techcrunch.com)

ZipNada writes: Bill Swearingen has spent the past year running largely the same test, over and over again. The goal was to produce a computer-generated pattern that could block the surveillance cameras lining America’s streets from detecting it.

Some 31 million tests later, Swearingen says he can now produce patterns on-demand that, when applied to clothing and objects, prevent some of the most commonly deployed license plate readers and surveillance cameras from detecting whatever the pattern covers, from people to vehicles.

His project, which he calls noRecognition, allows people to escape the automatic detection and algorithmic surveillance used across the U.S. and beyond.

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