20 karma · joined June 5, 2023
> Mac mini with M4 starts at $599 (U.S.) and $499 (U.S.) for education. Additional technical specifications are available at apple.com/mac-mini.
I'm having trouble finding sources for this. I do see that Sequoia Capital China invested in ONE Championship, but not Sequoia and UFC
"Programmers waste enormous amounts of time thinking about, or worrying about, the speed of noncritical parts of their programs, and these attempts at efficiency actually have a strong negative impact when debugging and maintenance are considered. We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil. Yet we should not pass up our opportunities in that critical 3%." - Donald Knuth
It might not specifically be DRY, but still related generic vs specialized code/systems.
Yes, exactly! I see there is some kind of support, but is it possible to use the OLTP database as an event source?
For example, say I had a table in my OLTP database, `data.returns`, that had columns `ts`, the event time, and `status`, which can be PENDING or COMPLETED. I'd like to generate point-in-time correct training data, where the feature is the count of completed returns. It seems like all the necessary information to calculate this is there
I recently learned about Jupyter kernels and realized that was probably what I should've been using to build this out.
I named the extension JPT, combining Jupyter with GPT. I was very proud of myself for that one lol :)
[0] https://chromewebstore.google.com/detail/jpt-chatgpt-code-in...
https://github.com/risingwavelabs/risingwave https://github.com/MaterializeInc/materialize
This is actually exactly what Pyodide does! It's basically the CPython interpreter compiled to wasm. This will allow you to run python code in, say, NextJS.
I've been working on a chrome extension that let's you run python code in ChatGPT. You can see the output, see plots with matplotlib, upload and download files, use a bunch of packages, all thanks to Pyodide[0]. Basically ChatGPT's own code interpreter but worse (it's also free, you get what you pay for). It was important to me that it works completely locally and does not save any data.
It is one of my first personal projects and seeing the number of users go up makes me happy and want to keep improving it. I had to make my github repo private because I had an issue with a copycat, but I can make it public if people actually care.
Come application time... it was totally normal. Had some interviews and some rejections. Ended up getting multiple offers with very competitive compensation.
While I may be the exception rather the norm, there are definitely companies that are still hiring and some that are just getting head count for the upcoming quarter. I would not give up hope.