

Speak for yourself. Here in the NULL island, we’re all born on January 1st, 1970.
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Speak for yourself. Here in the NULL island, we’re all born on January 1st, 1970.
Here’s a bit of code that’s supposed to do stuff. I got this error message. Any ideas what could cause this error and how to fix it? Also, add this new feature to the code.
Works reasonably well as long as you have some idea how to write the code yourself. GPT can do it in a few seconds, debugging it would take like 5-10 minutes, but that’s still faster than my best. Besides, GPT is also fairly fluent in many functions I have never used before. My approach would be clunky and convoluted, while the code generated by GPT is a lot shorter.
If you’re well familiar with the code you’ve working on, GPT code will be convoluted by comparison. If so, you can ask GPT for the rough alpha version, and you can do the debugging and refining in a few minutes.
An AI ga also do the job, spend the money on Netflix and watch the movies for you.
“It’s also worth reiterating that despite its name, OpenAI is a closed-source and for-profit company — while DeepSeek’s AI models are open-source.”
Smells like there’s a lawsuit just around the corner. How do you license a model as open source if the training data was stolen?
That’s what happens when people don’t know how to use the system properly. They just throw their files and announcements into random places without any thought, and expect everyone to be able to find them.
In cases like that, you just need to ask a more experienced user for direction, because nothing else works. It’s not your fault you can’t find your way around a labyrinth like this. It’s the fault of everyone who turned that place into a labyrinth.
Can we also blame the software? Maybe, if the marketing was misreading. Mostly though, this sort of mess emerges as a result of ignorant people abusing the system.
Now that’s a properly meta headline. Are you sure this wasn’t written by The Onion?
This is big news. Why isn’t everyone already talking about SIBs? Also, the 145 Wh/kg sits neatly between LFP and NMC. As long as the other properties are reasonable, it should stand a chance against NMC.
The article also mentions sodium ion batteries as an alternative. Can’t wait to see how they perform in real life.
Really? Maybe my variable names and column headers were sufficiently obscure and technical that I didn’t run into these issues about a month ago. Didn’t have any problems like that when analyzing census data in R and made Copilot generate most of the code.
Is this one of those US exclusive things?
I definitely did refer to various categories such as transgender or homosexual in the code, and copilot was ok with all of them. Or maybe that’s the code I finally ended up with after modifying it. I should run some more tests to see if it really is allergic to queer code.
Edit: Made some more code that visualizes the queer data in greater detail. Had no issues of any kind. This time, the inputs to Copilot and the code itself had many references to “sensitive subjects” like sex, gender and orientation. I even went a bit further by using exact words for each minority.
Depends on what you need from Excel. All the simple stuff and most of the medium complex stuff is available in Calc. However, there are still many Excel only features where Calc can’t compete. Not a big deal for most people since those tend to be slightly obscure features anyway. If Calc can’t get the job done, I suggest switching to R or GNU Octave. You’ll thank me later.
Imagine you had a relationship that turned out toxic, and then you decided to protect yourself by severing it. Later, when you even hear about X, your heart is filled with negative emotions, and you realize you need to move on.
The best I can do, is to steer it slowly. For me, it’s always been the inferior option when compared to a regular touchpad.
Although, I do se the benefit of the central positioning when you need to type more and you don’t want to move your fingers from the home row just to click something quickly.
It’s fine. Takes some time to get used to. Some people really love it, but I don’t think it’s that great.
Writing headlines is a selection process. You write about all the useless but cool stuff while ignoring all the boring but important stuff.
Improving Li-ion by 1% doesn’t make headlines, but that sort of stuff has been going on in the background for a few decades already. That’s why current batteries are so useful and widespread.
Lab prototypes are sexy, even if they’re 50 years away from becoming commercially viable. Sure, these things can charge fast, or hold a huge capacity, but they also tend to die after 10 cycles. Fixing that is going to take a long time, just like it did for Li-ion batteries.
Thanks for taking the time to explain this. Turns out there’s always more nuance to these things.
The blockchain solves one problem: trust. Do we really have that problem in normal energy markets?
People who buy and sell energy would need to trust each other and the middle man in between them. If they have trust issues, using a blockchain could make sense. As far as I can tell, the current system doesn’t suffer from a lack of trust, so what would the blockchain do in this case?
Edit: Turns out, it would be more accurate to say that it redistributes trust away from a central authority… well at least in most cases it does. There are still situations when even a blockchain has a central authority you need to trust. It’s not guaranteed to solve all trust issues, but in the best case scenario it can solve some of them.
And if that works out, you could also use the same method to shape the political atmosphere on the platform. Who knows, you might also disarm the next arab spring before the first demonstrations even happens.
I’m pretty sure governments are very interested in seeing the results you get from using LLM bots like this.
Yeah well… What can I say. Meta knows their users.
It’s for driving engagement. Basically, meta wants to make sure their platforms look appealing to the companies that use them for advertising purposes. More eyeballs, more ads, more money.
We are one step closer to building the AI that can determine which one is cuter: a specific photo of a kitten or one of a puppy. Just imagine what you could do with such technology!