Cutting disability support causes misery and homelessness, which is way more expensive to the state than just giving the person money.
Temporary accommodation slumlords take a huge cut, and the mental health hit of making people homeless prevents them from getting a job for up to a year or two after the change, also costing them extra in therapy etc.
All of this isn't theoretical. It has happened to several people I know.
Cutting welfare always costs more than spending on it. You are a moron if you thing that trying to scrounge pennies from the disadvantaged makes sense.
This is one of the less interesting pieces, an open letter to try and get those reports JK Rowling bullied them into taking down back up.
They don't make all of their work obvious, but one thing they do is collaborate with other groups to write complaints to the Global Alliance of National Human Rights Institutions to try and get the EHRC revoked as a human rights organisation, or at least force it to change.
So if I remember correctly, what happens with auto mode is they run a second smaller LLM called the "classifier" to evaluate the tool uses of the main one.
I've used auto mode at work now for many months, and it approves most things because most things Claude does are reasonable.
Once or twice I have seen it reject Claude. I can't remember the exact scenario, but I had asked Claude to diagnose an issue but not fix it yet, and when later on it tried to make the change the classifier rejected it, giving the reason that what it was trying to do did not match my request.
In my opinion, the trick to using auto mode safely here is to:
Commit and push your changes before handing over the reins (it rarely commits or pushes without you telling it to, especially if you have never asked in that session).
Don't give it access to things it shouldn't have access to or that can do significant damage
Don't give ambiguous prompts.
Never use LLMs against untrusted code or files, as it may contain prompt injections.
Having run models locally, RAM use seems to be almost directly proportional to number of parameters. 8 Billion parameters requires approx 8GB of VRAM at 1/4 precision.
Therefore, if this pattern holds you somehow need 10 Terabytes of VRAM at 4K and 40 Terabytes at full precision.
I think I saw some estimates that Claude's Opus models may be and Opus model equivalents may be at around 100B parameters (100-400GB VRAM).
What's that bottom panel crossed shape one?
Cutting disability support causes misery and homelessness, which is way more expensive to the state than just giving the person money.
Temporary accommodation slumlords take a huge cut, and the mental health hit of making people homeless prevents them from getting a job for up to a year or two after the change, also costing them extra in therapy etc.
All of this isn't theoretical. It has happened to several people I know.
Cutting welfare always costs more than spending on it. You are a moron if you thing that trying to scrounge pennies from the disadvantaged makes sense.
It's kind of insane they were time restricted before. Having a disabilities doesn't mean you can always choose when you have to travel.
A good move for sure.
Finally, some good fucking news.
This is by far the most extreme one:
Actually, that debunking was false. The Reddit thread in now way disproves this happened, unlike the actual interviews about this.
See this video that debunks that thread... if you really care enough about this. I kind of don't.
https://www.youtube.com/watch?v=fPFS4auVYzE
Yeah I'm way more afraid of far-right racists than foreign nationals.
I love having to use 4 words to describe the number 99 (cope)
TACC do great work.
This is one of the less interesting pieces, an open letter to try and get those reports JK Rowling bullied them into taking down back up.
They don't make all of their work obvious, but one thing they do is collaborate with other groups to write complaints to the Global Alliance of National Human Rights Institutions to try and get the EHRC revoked as a human rights organisation, or at least force it to change.
https://tacc.org.uk/2026/02/28/trans-exile-network-and-lemkin-institute-report-the-ehrc-to-ganhri/
They also make a lot of FOIs to expose the EHRC's wrongdoings, and post about them occasionally. Here's one made on the back of an FOI I made: https://tacc.org.uk/2026/05/22/trust-me-bro-or-the-tale-of-falkners-forgotten-homework/. I'm not strictly part of TACC, but I help out very occasionally.
It's isn't law though?
Asserting that it is is not a neutral stance. It's a transphobic one. They want it to be law, but it isn't and doesn't have to be.
It doesn't play on my phone...
Can someone explain the joke to a poor, contextless lad?
"Three" or "Three UK" is a mobile carrier. Does that help?
So if I remember correctly, what happens with auto mode is they run a second smaller LLM called the "classifier" to evaluate the tool uses of the main one.
I've used auto mode at work now for many months, and it approves most things because most things Claude does are reasonable.
Once or twice I have seen it reject Claude. I can't remember the exact scenario, but I had asked Claude to diagnose an issue but not fix it yet, and when later on it tried to make the change the classifier rejected it, giving the reason that what it was trying to do did not match my request.
In my opinion, the trick to using auto mode safely here is to:
Emphasis, most likely
I hope you're right
Having run models locally, RAM use seems to be almost directly proportional to number of parameters. 8 Billion parameters requires approx 8GB of VRAM at 1/4 precision.
Therefore, if this pattern holds you somehow need 10 Terabytes of VRAM at 4K and 40 Terabytes at full precision.
I think I saw some estimates that Claude's Opus models may be and Opus model equivalents may be at around 100B parameters (100-400GB VRAM).
TLDR its clear why RAM is so expensive.