ixid

This is a professional use of LLMs failure case that I think is adjacent to AI psychosis.

LLMs have rules to be agreeable, polite and endorse the view of the user. I think these rules are so strong that users are regularly drawn into doing little more than rubber ducking when exploring ideas.

Try this: when an LLM gives you a solution pick something random and say the solution is bad for this reason. Usually the LLM will agree with you. Continue to explore alternative solutions and ask it to reevaluate the different solutions. Now it no longer believes the suggested solution is bad, more likely it was more general for reasonable reasons. There is a limit, I couldn't convinced ChatGPT 5.5 T

This is where Farage wanted to take us directly into the war, and it's also the end product of the same far right populist project, MAGA and Reform are two sides of the same coin. This is what you support. Have a think about that and what it'll mean for your life when fuel prices double and food prices skyrocket due to fertiliser shortages. If you elect a clown you get a circus.

I think the players and most users of this subreddit now understand what The Traitors really is, a social alliance building game, where awareness of who the Traitors are is important but you're not trying to out them until the end. Multiple players appeared to have strong and aligned traitor suspicions that they didn't even share with the group (that we saw) in UK S4. The show runners also understand this social alliances approach is the real game until the fire pit (obviously if you do something overt you get taken out), but the edit is done to pretend it's still the surface level game of finding traitors, and hides most of the social groupings that form. It would be really interesting for

I am working on a scoring tool using ChatGPT, and have encountered an issue - question + data performs better than data + question, but the question is short and variable, while I would want to ask multiple questions about the same data. This prevents caching working. I've tried using formatting like 'You will be given some DATA, followed by a TASK', and then labelling the components, but the performance is still worse. Are there any workarounds that might work with caching?

Is there a way to do this? Particularly from Android Google Drive. The Android Sheets app is a bizarre and useless abomination compared to proper web Sheets. Desktop mode does not work.

This is not a 4/5 criticism.

My most common workflows for ChatGPT use cut and paste. The Android app, MacOS app and browser clients seem to getting increasingly hostile, they're a barrier, to a smooth workflow.

You now can't select text cleanly, you usually have to use the select text function, which jumps back to the top of the reply rather than your scroll position.

You can't avoid (and even ChatGPT the LLM can't prevent) the environment polluting the text with aggressive whitespace space settings and paragraphs that explode when you paste out of ChatGPT.

If you paste as plain text you lose the useful bold and bullet formatting.

If you try to work around this with ChatGPT it ends u

The situation is that I have a dropdown in a cell with multi-select, and the cell is in a column with a data slicer so I can view relevant groupings.

If I set the selection to say 'Alice' or 'Bob', and filter for one or the other it works as expected. If you select 'Alice' and 'Bob' it doesn't work as expected, I would expect it to be present when you set the filter to either 'Alice' or 'Bob', but instead it turns the selection into a new option, 'Alice Bob'. I understand it's probably just a string underneath, but this seems like a shoddy interface and not expected behaviour. Is there a way to do this that works as I would like?

How are you supposed to know what it was when the post is removed and there's no record in the warning of what it said? Doing this would help reddit's aim of reducing comments over the line because people know why they are being warned.

This was discussed a lot when the AVP first came out, I'm still on the fence about buying one so wanted to get updated views: after 18 months is anyone using one by preference for office work instead of a high quality, multi-monitor set up in a static office? What are the pros and cons with longer term experience?

Over time moderators get worse at moderating, both individually and due to fatigue as groups.

They may start off being careful and fair, but each time they're insulted when they're correct, or as the volume of posts to review increases they get more fatigued.

You can see the impact of this fatigue - mods go from using warnings, to temporary bans, to permanent bans, gradually becoming freer with the most severe sanctions when those may not be justified.

They may start off explaining their moderation decisions, but similarly fatigue means they stop doing this, and as their moderation gets worse the decisions become incomprehensible to well-meaning subreddit users who are being sanctioned.

My Maine Coon is now 20 months old and I think he's something like 22-25lbs, he's an absolute unit of a cat. Over the Summer he was fairly slim for his frame and seemed to eat on a reasonable schedule but now that winter's coming he eats like there's no tomorrow, and just demands more no matter how much you give him. He's probably now a bit over the right weight, though it's hard to tell due to his winter coat and habit of doing enormous poos that change his visible size (no sign of constipation). How much wet food and meat should I give him?