I hear you, and that’s great if it’s something the applicant wants to share. But none of the development work they’ve done at previous companies is work that they’ll be able to share. We take their word on that work. Not taking their word in the same way on other projects seems like a bit of a double standard to me.

Let’s say you are applying for an engineering position and you want to mention that you contribute to an open source project. Mention the software stack used, maybe the number of downloads, and your focus on the project. Explain it in general terms. If it gets asked about in the interview, just answer questions without providing the name of the project.

My (red) state is one of those that changed the law to make it illegal for pornographic websites to be seen by children. To view them, you’d have to have some kind of central ID to prove that you are over 18. This is absolutely a precursor to having to have an ID to use the internet at all. Every bad thing that has ever happened on the internet will be used to convince legislators to enact a law like this. It’s only a matter of time.

I like the choice of SIlverstone for the case. I got one of those for my proxmox server. It was compact, but not so compact that I left a lot of skin and blood behind after mounting components. I will say that other manufacturers (like Fractal Design just seem to understand how to design an interior a lot better, though.

I have never been so glad that I talked myself out of buying the new iPhone this year! Siri is the primary input method I use for my iPhone. I would say I make around 20-30 vocal requests a day. It will be so nice to be able to do things like create a meeting on a calendar with a conversation instead of having to frame the request in a single sentence! I hope they do this rollout well.

In 2005 or so, I got a tip about an application called LaunchBar, which would later be copied by Apple to replace the Sherlock search tool, and later by Microsoft in its PowerToys suite. The machine learning LaunchBar used to tailor its responses based on my previous behavior was life-changing. Instead of configuring an application, I just had to use it to change how it behaved.

This is how language models and AI are going to improve your products. Subtly. Behind the scenes. Slightly improving a thousand different use cases, only a fraction of which your regular usage patterns are going to intersect with.

Yep. That’s what I get for having a ton of tabs open!

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Biden can be an instant king-maker. All he has to do is hold a press conference where he endorses another Democratic candidate, along with an announcement that he is bowing out of the race to protect the country from Donald Trump. It would be the most potent endorsement ever made.

What they’re doing is publicly signaling that they’re going to spend a lot of money in those districts if these reps vote for Jim Jordan. They’re already swing districts, so anyone who wants to keep his seat is going to have to raise and spend even more money. The Dems are betting that the pressure of having to fundraise and fight a contested election is more of a problem than just making up an excuse to not vote for Jordan.

This is Wyoming we’re talking about. Wyoming is where Matthew Shepherd was brutally tortured and murdered. I wouldn’t stop, either.

I am so torn on this. On the one hand, this is sorely needed. Not everyone in an organization is aware that information they feed to an LLM is often fed back into the LLM to train it, or that the LLM reflects bias in its training material, or even that an LLM might return false information. A strong policy is important to help communicate these things.

On the other hand, LLMs have had the biggest impact on my productivity, well, ever. The speed with which I can write complex documents, write code, or help someone else solve a problem has been increased by an order of magnitude. My organization recently enacted something similar to this executive order, prohibiting the use of LLMs. Now I can’t get those advantages at work anymore. I’m afraid a heavy-handed policy would effectively strip government workers of the same capabilities.

That title makes me chuckle. He should go set up a fresh install of Windows and see what the default security experience is like. Mac OS makes it smooth and fast, and relatively unobtrusive in comparison.

Don’t whatabout me. If you’re going to criticize a company because you don’t like the founder, then at least own up to your faulty generalization.

I love how you completely disregard the people who actually work there and the people who actually run Thorn.

It’s so amazing to see a comment like this. For years and years, the tech industry workers were heavily anti-union. I’m glad to see the sentiment turning around.

I’ve just spent a few weeks continually enhancing a script in a language I’m not all that familiar with, exclusively using ChatGPT 4. The experience leaves a LOT to be desired.

The first few prompts are nothing short of amazing. You go from blank page to something that mostly works in a few seconds. Inevitably, though, something needs to change. That’s where things start to go awry.

You’ll get a few changes in, and things will be going well. Then you’ll ask for another change, and the resulting code will eliminate one of your earlier changes. For example, I asked ChatGPT to write a quick python script that does fuzzy matching. I wanted to feed it a list of filenames from a file and have it find the closest match on my hard drive. I asked for a progress bar, which it added. By the time I was done having it generate code, the progress bar had been removed a couple of times, and changed out for a different progress bar at least three times. (On the bright side, I now know of multiple progress bar solutions in Python!)

If you continue on long enough, the “memory” of ChatGPT isn’t sufficient to remember everything you’ve been doing. You get to a point where you need to feed it your script very frequently to give it the context it needs to answer a question or implement a change.

And on top of all that, it doesn’t often implement the best change. In one instance, I wanted it to write a function that would parse a CSV, count up duplicate values in a particular field, and add that value to each row of the CSV. I could tell right away that the first solution was not an efficient way to accomplish the task. I had to question ChatGPT in another prompt about whether it was efficient. (I was soundly impressed that it recognized the problem after I brought it up and gave me something that ended up being quite fast and efficient.)

Moral of the story: you can’t do this effectively without an understanding of computer science.

Have we figured out if this solves the Netflix password sharing limitation yet?

If I think I’m sick, regardless of what I’m sick with, I try to isolate and mask as much as possible. Nobody wants to get sick from me. For the flu and Covid, I go and get tests to allow me to take the antiviral medications. If I have Covid, I mask for a couple of weeks just to prevent spreading it.

Unit prices are easy to remember when you buy a single product. I bet you know the price of gas per unit immediately. What was the price of Pepsi per liter today? What was the price of Coke per liter? There are dozens and dozens of soda products alone you would have to memorize. And that’s just soda.

I applaud a store using its data to communicate to customers how prices have changed. We should do this everywhere.