> A recent study by the Institute of Software, Chinese Academy of Sciences, Microsoft, and others, suggest that the performance of LLMs can be enhanced through emotional appeal.
> Examples include phrases like “This is very important to my career” and “Stay determined and keep moving forward”.
Of course the top LLMs change every few months, so your mileage may vary.
Mostly OpenCode but I've been experimenting with Pi a bit lately.
I use Agent Hive [0] for more complex tasks. It sends off subagents with models and parameters I can configure for each different agent (i.e. a low-temp coder, a higher temp with some top_k / top_p for research and architecture, etc).
> It looks like white wins for n=6 and n=8 with perfect play, otherwise it is a draw.
For n=6 it's "1. N4 mate," right?
For n=7, "1. R5" is a stalemate; "1. R4 N4 2. N4 r4#" is a loss; "1. N4 n4 2. R2 r6 3. R3 r5 ..." is a draw by repetition; so yeah, it's a draw with best play.
> Is there a human out there who would just magically type all the right things - no errors - first try?
If they know what they're doing and it's not an exploratory task where the most efficient way to do it is by trial and error? Quite a few. Not always, but often.
That skill seems to have very little value in today's world though.
https://jurgengravestein.substack.com/p/why-you-should-total...
> A recent study by the Institute of Software, Chinese Academy of Sciences, Microsoft, and others, suggest that the performance of LLMs can be enhanced through emotional appeal.
> Examples include phrases like “This is very important to my career” and “Stay determined and keep moving forward”.
Of course the top LLMs change every few months, so your mileage may vary.