I program in Python, Fortran, and R. LLMs may be better at Python than Fortran since there is more training data for the former, but they are still pretty good at Fortran. LLMs make it easier to use less popular languages and much easier to use the more popular ones. An advantage of using LLMs for a compiled language like Fortran is that you can iterate with compiler messages until the code compiles. A Python script to do this is at https://github.com/Beliavsky/Groq-Fortran-agent. I assume Cursor and Windsurf do this too.
'NOAA has quietly reported that they will soon decommission 14 datasets, products, and catalogs related to earthquakes and marine, coastal, and estuary science. According to the list, these data sources will be “decommissioned and will no longer be available” by early- to mid-May.'
but if you click on the first link she provides, you see that duplicative access points are being removed and that the data will still be available.
'Type of change:
The duplicative access point will be decommissioned for nClimGrid-Daily. File Transfer Protocol (FTP) will be terminated.
Description:
The NCEI Data Access Branch will be decommissioning a duplicative access point for nClimGrid-Daily'
Table 1 shows that from 2020 through Feb 2025, Bitcoin daily returns have had a standard deviation of 4.06%, vs. 1.32% for the S&P 500, and its correlation to the S&P has been 0.38. The high volatility and positive correlation make it unattractive for people who are long stocks.
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