“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?

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.