He’s not wrong about the main point, but I think it just means you need to be clearer about the AI disclosure. Was this AI generated images, text, or voices? Was the codebase just using small amounts of AI tab completion or substantial portions of AI generated code?

If it’s like a human body, then the tab is the mouth and th can is the part where blood and organs would be would be and the insides of the can are the digestive system where the digestive juices and feces are.

I think a good characterization is overshoot with a correction due. Its not that it won’t hasn’t durably changed the way things work, I think there were a lot of experiments that were run at the expense of employees that a lot of companies are going to find a negative ROI on and we’ll see less prevalence of AI In those applications.

That’s not including any kind of future legislation that would further shrink the current application of AI.

I tend to write production queries more than one off analytical ones, but if your query isn’t relatively straightforward to understand, you probably modelled the data wrong in the database.

Conceptually, inner / outer joins are relatively simple compared to other concepts you need to know when writing software professionally which is where that comment came from. If you’re a business analyst or similar and not as experienced with expressing thoughts in a structured language and understanding how to evaluate the performance of that, I understand wanting to screen for that because it’s not assumed you would be familiar with that off the bat.

I’m coming at this from a pre-chatgpt mindset, where you are still googling for syntax and a list of which aggregations or operations are supported. Like casting data types is often different between SQL dialects.

DMing is great practice for running small group meetings, which are most of my work meetings.

Learning how to keep the meeting on track, synthesizing a bunch of discussion into a coherent flow, knowing when and how to interrupt, paying attention to people who maybe need you to make space for them to interject have all been super useful skills.

I get DBA interviews, but don’t understand SQL interviews for software engineer type candidates. It makes some sense for like business analysts but even then, let them Google syntax.

Like if you can’t figure out joins and subqueries in 30min of googling tops, you’re probably not a good fit for a software engineering role anyway and will hopefully have issues elsewhere in the interview screen and for syntax it’s not super exotic, you can just Google it especially for things that change depending on the dialect of SQL you’re using.

If you’ve eaten event slightly more than half of it, then clearly whatever is left isn’t enough for a second meal so might as well polish it off.

Ask people in western China how that’s working for them. And that’s only the width of one country, not a continent or hemisphere.

If someone is unironically basing a sense of gender superiority on having pockets I feel bad for them.

Sounds like you’d rather watch a movie or show. Not a knock. I tend to not engage with plot in games unless it’s like BG3 where it’s fundamental. I like that for TV and movies, I just have the director giving me the optimal way to engage with their story and themes.

I am a sucker for a good magic or power system, so will happily explore through skill trees and the like.

Its tongue in cheeck. Of all the inequalities between women and men this is super low on the list. Have you heard how actual misogynists speak?

Cope and seethe women!

Developing technologies means mitigating negative externalities. You don’t just design a pressure cooker and ignore the possibility it might explode because you “can’t force people to not leave it unattended”, you spend the extra time and money to design and install a safety valve.

Sounds a bit like the US. I live in New York City, there are a lot of bloated non profits that are just used as slush funds for rich people and networking. I’ve met a few people on occasion who work in non profits that do things like provide hiring metrics for other non profits instead of actually doing direct good, so you really need to be careful who you donate to.

I’m sorry that Germany also has long term issues with its social safety net, but it’s morbidly reassuring as an American to hear we’re not going to be the only ones on the sinking ship.

There was a post a while ago where a German person posted that they were confused by the US nonprofit systems, they basically said I pay my taxes and the government makes sure it’s spent feeding the needy and foreign aid and all that. Why should I go through the trouble of researching all these charities trying to find a good one to donate to.

Not that Germany doesn’t have non profits, but they really should be for special interest type cases where you explicitly want to send money to a cause, not general global well being.

You don’t understand, they’re making money so much faster than they can reasonably give away.

It’s not out of the realm of possibility that it’s normal for your family, but for most families that wouldn’t be normal.

If you’re family is open about being sex positive, if talking with your parents about masturbating wasn’t weird as a teenager, then I don’t think it’s that weird of a college send off gift.

Spend the dollar on garbage bags and collect a bunch of bottles and cans. Depending on where you live, you could probably make a good amount of money from that. I’ve seen people with shopping carts full of bottles walking to the recycling kiosks.

Sure, it’s important to be aware of future potential issues, but there’s a huge difference between I get the wrong answer when I ask a chatbot about my email vs remote code execution.

Also, one is a general security vulnerability with email as a whole, like phishing you can get scammed regardless of your email client, vs improperly implemented features in a specific library. I don’t think this is a reason to leave Gmail.

As far as prompt injection is concerned, I don’t think it’s a risk unless you’re using some kind of agent to go though emails, which is not a Gmail specific thing.

If we’re taking about Google scraping your data the risk is more one of them having an incorrect profile on you, but running a conversational agent is quite expensive, I don’t they would have that as a large scale part of their pipeline. Embedding and clarification models likely aren’t instruction tuned so prompt injection won’t do anything.