I think people of all genders could feel this way.

Just don’t it

Yes, being called out can be hurtful and even result in feelings in humiliation — I understand. Here are five suggestions for ways you can reply back:

1. I am innocent, what is an el-el-ehm even?
2. I am sorry for having betrayed your trust in this way, and will never use AI ever again
3. I apologize, unfortunately I suffer from low IQ and my doctor has prescribed 100 M tokens per month to support my knowledge journey
4. No, you’re using AI
5. (Paste this whole message, to make it look like a human pretending to be an LLM)

If you would like, I can also give you advice for dealing with your insecurities and dive into why you seek validation through upvotes?

I’ve got great news for you! Even with little money (from a Western point of view) you can still have a huge impact on people in poorer countries

Agree on that text only screenshots are often less funny but isn’t that issue solved by downvotes?

Fair point, thanks for sharing your thoughts!

Out of curiosity, why would this be more appealing?

That is really useful! Thanks for the tip!

Yes, but also they’re selling a bunch of gold off to help sustain themselves (1, 2)

Very very cool! Thank you for the links

I didn’t know that, thanks for the fun fact!

Ooh interesting! Will have to try that.

Never even made Jamaican food! Do you have a go-to recipe or chef/youtuber you’d recommend for jerk marinade/Jamaican flavours?

Also use some wine for even more smells! Even when cooking Western food, I’ve grown fond of using a little bit of Shaoxing wine, and replacing a bit of salt with a dash of soy + fish sauce for more complex umami

And in Dinamarca!

https://en.m.wikipedia.org/wiki/Hanlon's_razor

Good point!

Aha I misunderstood, thanks for clarifying.

Actually for this specific context, there’s an easy solution: I reckon for llms self-hosting would be the way to go, if your hardware supports it. I’ve heard a lot of the smaller models have gotten a lot more powerful over the last year.

This is any company, government, or other organisation with +80 employees. The two other alternatives are

1. Have all data in Excel with no data governance, robust procedures, or trust in data, as the organisation grows in size
2. Use only external tools (which in turn are owned by organisations that work like I described in my parent comment)

I’d love to hear of there’s other ways of doing this stuff that actually works, but so far I just haven’t experienced it in my career yet.

As a person working in a field close to data engineering this sounds like they’re actually honest about the process.

Tldr: it’s not possible to “just delete” everything at once, even though we’d love to be able to.

There’s so many layers of where information is stored, and such insane amounts of data in their data platform. so running a clean up job to delete a single persons data in oltp databases, data lakes, dwh’s, backups, etc, would both be expensive and inefficient. Instead what they then do is to do it in stages: flip a flag somewhere (is_deleted = true) which lets it be removed from view initially, and then running periodic clean-up jobs.