pteetor

Simile, a fast-growing start-up, says it can provide companies with accurate insights by surveying millions of A.I.-generated consumers.

In case you are unfamiliar with Karpathy's Loop[1], it is a genetic algorithm[2] where the genetic "mutations" are clever-but-random ideas generated by an LLM agent, aimed at improving a system.

  (1) Let the LLM randomly perturbate the system.
  (2) Measure the system's performance.
  (3a) If the perturbation improved performance, keep the change.
  (3b) Otherwise, don't.
  (4) Repeat

[1] https://github.com/karpathy/autoresearch

[2] https://en.wikipedia.org/wiki/Genetic_algorithm

In the USA, the available supply of gasoline is normally 21 or 22 days. The press occasionally trumpets this number, and people react with horror. But, hey, it's just normal. IDK about Europe, but 6 weeks of jet fuel does not surprize me.

For complicated prompts, I always add this:

"Before you start, please ask me any questions you have about this so I can give you more context. Be extremely comprehensive."

(I got the idea from a Medium article[1].) The LLM will, indeed, stop and ask good questions. It often notices what I've overlooked. Works very well for me!

[1] https://medium.com/@jordan_gibbs/the-most-important-chatgpt-...

When COBOL was born, some people said, "It's English! We won't need programmers anymore!"

When SQL was born, some people said, "It's English! We won't need programmers anymore!"

Now we have AI prompting, and some people are saying, "It's English! We won't need programmers anymore!"

Really?

All the Python-based functionality of this project can now be handled by the mcptools package[1]. That is, mcptools can field MCP requests and dispatch to R code; no need for an intermediate layer of Python. I wonder if the author knows about mcptools? Or did he start coding before it was available?

[1] https://posit-dev.github.io/mcptools/

Somehow, I assumed that a Cursor-like capability for RStudio would be implemented as an add-in extension, not via fork. Does this mean that every new release of RStudio will require a rebuild by Lotas and a re-download by its users?

R is used extensively in quant finance. The quant traders, portfolio managers, and risk managers with whom I work all use R.

Probabilities sum to 1.0. Odds don't sum.

I've worked for corporations that need to generate reports and distribute them internally. I created an RSS feed on the report generation machine, then asked users to subscribe to the feed within Microsoft Outlook. That worked well because users are often in Outlook. They would see the RSS notification and think, "Hey! Look! A new report!". (Well, maybe not that enthusiastically.)