

The “manage your information” section doesn’t exist where I’m at.

(Yes, I did a text search)
Instead, we have “request your data” which likely would give you complete files of all data they have on you. I’m not going to crawl through that right now.


The “manage your information” section doesn’t exist where I’m at.

(Yes, I did a text search)
Instead, we have “request your data” which likely would give you complete files of all data they have on you. I’m not going to crawl through that right now.
I remind you all to never support J. K. Rowling’s works. If you do, you actively fund the oppresion of trans people in the UK.
If you like the games or movies as I once did and want to experience them again, then simply buy them second hand or, better, pirate them.


Yeah I heard of a case like this at least a year ago. I was wondering if we were reposting an old article, but no. That makes it worse, and explains the judge’s reaction.


“It’s little comfort to know that my stupidity is what brings us together this afternoon,” New Mexico attorney Stephen D. Aarons said in a hearing last month before five judges. He “assumed” ChatGPT would generate a “bulletproof summary of proceedings.” Instead, ChatGPT generated false testimony from “wholly fabricated witnesses,” according to an order of direct contempt from the New Mexico Supreme Court.
Aarons’ reasoning for trusting ChatGPT, he said in the August hearing, was that he’d heard of doctors using AI for medical research.


Yeah, I know someone frustrated with their local council who privately says “I’m going to 💥 the council” as a joke. That’s very different to sending a threatening letter to the council itself. Or harassing them.
The example here feels closer to the former than the latter.


Why the hell would you give a language model the wheel of a car?
They don’t even understand the concept of time and space. Some of them can parse an image, but typically only enough to pull text from it, and extremely slowly.
It’s like asking an overweight English teacher to play pro football.
We built visual recognition machine learning systems for this purpose.


It has varied. I used to keep them 1-2 years when they used to improve a lot year-to-year. The last 2 phones I’ve had 3 years each.
After I’m done with it, I hand my phone over to my brother, who runs it into the ground over the course of the next 3 or so years, until it’s almost unusably slow. My brother does the shower thing too, but less often. Maybe 30% of the time and less steamy.
It’s possible that there could be gradual, over time damage. Rust growing until it forms a short. But that’s not been my experience.
Ultimately, it’s up to you if you want to take the risk, but given how I treated mine, if you even did this half as often as I did, you’re probably fine.
I didn’t mention this above, but I sometimes also used the phone inside the shower. Clicking the next video or checking a message notification. Maybe 1 in 8 days.
I’ve also sometimes washed the crud off the phone under the sink, rather than my normal approach with isopropyl alcohol. The worst I’d get is a notification saying I couldn’t charge for a bit, or the speaker sounding funny for half an hour or so.
You might call me crazy, but I don’t like to baby my stuff. I paid for water resistance, I’m going to make use of it.
I’ve been told that caffeine is toxic to cats, doesn’t that make this somewhat dangerous?


I’ve been doing this for around 10 years, have very hot, steamy showers and never had a problem 🤷
Started with the Samsung Galaxy S7, one of the earlier water resistant phones, and I’ve been doing it ever since, across maybe 5 phones, almost every day. You’ll be fine. If you are worried about drops, just use a decent case.
As for why, others have said, it’s to keep listening to my YouTube video essays and similar. Stuff that doesn’t need to be seen to be appreciated.


Lovely. Man-made horrors beyond our comprehension.


I can kind of relate. There are a lot of parts of coding I find a little boring.
When you use an expensive AI agent, like Claude, it can nowadays handle these tasks competently, to the point where I only need to correct small things here and there.
When you give these tasks to an AI agent, it feels a bit like delegating to a junior, but without the guilt of giving someone a menial or boring task. That allows me to work on stuff I find more interesting. To me, THAT’S why it’s adictive.
However, this isn’t without cost. First, there’s the societal costs: Environmental, centralization of power, contribution to hardware shortages and a bubble
Second, there are more personal costs. You’ll come to rely more and more on these tools, and your skills will rust. You may end up avoiding learning things about a codebase because you delegate it away.
It’s a tempting tool. One which in my experience can genuinely help, but is easy to misuse.


I guess my point is for the problems it causes its probably not worth doing, balancing the two?
Making websites that no one needs to visit but poison or trap AI scrappers would likely be a better way to fight back.


TLDR; It fucks up accessibility for blind people (amongst others).
Its also pretty futile imo. AI is reading billions of words from books and posts. A handful of users obfuscating their posts is not going to do anything.
What’s that bottom panel crossed shape one?


I love having to use 4 words to describe the number 99 (cope)


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


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.
I’ve done data requests to Google to get all my YouTube and Google photos data in the past. Both took less than a few days, despite the latter covering over 100GB of data.
The former I did so I could get all my subscriptions into a third party client, the latter was so I could easily get all my photos with their metadata into an alternative hosting platform. These data request tools can be useful.