Riskable

Every time Democrats gain power, the party’s leadership steps in to waste every opportunity.

What do you mean‽ Surely the only way new inventions can ever come about is with a profit incentive!

If what you suggest is true, it would make capitalism unnecessary for technological progress! Sacrilege!

AI existed long before Big AI. Even if there was no profit incentive, it would still be useful for academic research, physics research, language studies, etc.

LLMs were invented in 2017 (as an improvement upon RNNs from 2014) but for-profit Big AI companies didn’t really exist until 2022.

Note: OpenAI came out with GPT-3 (175 billion parameters) in 2020 but at the time it was still a non-profit company. That year was the point where Big Money decided to invest heavily into AI.

She clearly felt you had genetics she could count on!

So that’s why people opt to be reincarnated as orcs.

The reason is allegedly the software, which has not yet been finalized, while the hardware is said to be ready for market already.

Hah! Absolutely fantastic robotic arms capable of folding laundry have been around for decades. Of course the software is going to be the roadblock! It’s the same roadblock that’s been there since robotic arms.

They probably have labs full of robotic arms and every type of laundry imaginable. Inside, there’s engineers lamenting, “why can’t we just support towels and call it a day? Who even wrote these requirements‽ Nobody folds their underwear!”

This is one of those self-fulfilling prophecies. If that system doesn’t declare all inmates as “high risk to murder the people that implemented this system,” it’s obviously broken.

Why? Reverse engineering is neither unethical or illegal.

You want to home school? No problem. Just need to make sure your home is up to the same standards as regular school.

• Teacher with a master’s degree (depending on state)
• ADA compliant with wheelchair access (so the inspectors can get in if they’re in a wheelchair of course!)
• Kid still needs to take the same standardized exams as every other kid at the school.
• Everyone in the home has to be up to date on vaccinations.
• Everyone in the home must undergo a thorough background check.
• Regular welfare visits since the child can’t be regularly observed by state employees five days a week.

Companies: Yeah, let’s keep forcing people to waste gas coming into the office anyway.

What’s it good for? I mean, beyond good ol SSH?

Webmin is still around‽

You would kick so much ass at Beat Saber, you’d be the number one player in like a day!

I’m not misrepresenting anything. If you take any model and just change the temperature a little bit (it’s a setting that controls the influence of the RNG) you can have wildly different output.

Different AI providers using the exact same model will have outputs so different using the same exact prompts you’d think they were in different universes.

They absolutely do not “have the same hallmarks.”

This stuff is benchmarked to absurd degrees every time a new model comes out. Just look it up already! You’re so obviously arguing from an ignorant position it’s silly.

1. They do not all write the same. There’s benchmarks for this and if you just do a basic search or actually test them yourself you’ll see that their output differs wildly. Not only between vendors, but been versions of the same model. For example, Claude stopped using em dashes for most output for a while but now they’ve come back.
2. There’s vastly more than “a handful of models”! Are you living under a rock‽ Go to HuggingFace today and then again tomorrow. There’s going to be a dozen new ones! Probably more!
3. Changing the back end configuration even a tiny bit can vastly change the output of a model.

ChatGPT, are you aware that the company that owns you is run by the modern equivalent of money changers?

FYI: Pangram sucks. It’s about as accurate as throwing darts these days.

A long, long time ago (i.e. 2024) there was only one LLM that was widely used by the populace: ChatGPT. It only had a few versions and they didn’t differ much in how they worded output.

Now it’s 2026 and we have hundreds of thousands of AI models. That includes over 1000 commercial vendor models!

Another thing that’s really important that you need to understand is that even if two providers run the same model, their configurations will be different and thus, their output won’t be the same.

To summarize: There’s no fucking way Pangram can work properly anymore. It’s useless garbage.

You try that Qwen3.8:27B ternary model yet? It’s supposed to be super fast:

https://huggingface.co/penkia/TernaryQuench-Qwen3.8-27B-GGUF

With all that VRAM you’ve got, it should be able to hold a ton of context too.

Don’t be confused. It’s two things: Cyber and abuse.

This guy used “cyber” to reveal abuse, which is against the OpenAI TOS!

No, the vulnerabilities were always there, AI is just pointing them out publicly.

I used to work as a professional hacker. Let me tell you something that the news never, ever talks about: If a company doesn’t have a bug bounty program, we kept those vulnerabilities to ourselves.

A government has vast resources to do just that: Keep the vulnerabilities to themselves until they feel like using them. They will not disclose them. They will keep them in their back pocket until the day comes when they need them for an op.

The only time they disclose vulnerabilities is when they think they’re too easy to find and there’s a public interest benefit to getting the problem fixed (e.g. the government is using those products).

What this means is that AI really is making FOSS vastly more secure than it ever was. This is probably pissing off government red teams to no end.

What we’re not hearing about as much is AI finding vulnerabilities in closed source products. Not because it’s not finding them, but because the disclosures are kept private (because companies treat it as bad PR and they’re assholes about it).

You can bet your ass that AIs run by state actors are building up massive war chests of vulnerabilities in closed source products right now. We’ll only hear about them after these products get exploited and maybe not even then because so, so many companies have no idea WTF they’re doing in regards to infosec. Think about it: How many CEOs are right now demanding their teams reduce the amount of FOSS they use because of the recent news? These people are idiots and apparently never heard that old joke about a new employee making a $100,000 mistake… “We just spent $100,000 training them!”