Imanari

aider-chat with the newest Sonnet model. Loving the new #AI! comment function. I use it for implementing changes, architecture discussions, making one-off scripts to move files etc.

Can someone explain how it works?

Out of curiosity, could you give an example of 30 loc python code that would require a lot of text to describe? I usually find that high level descriptions with maybe one iteration with refinements work surprisingly well if the assistant has knowledge of the context.

I like aider with the claude-3-5-sonnet-20241022, haven’t tried it with O1, though.

Also, https://aider.chat/docs/scripting.html offers some nice possibilities.

Under $100: Breathe Right nasal strips.

You can get off-brand ones for about 10ct a strip. For 3 bucks a month I get much improved sleep.

Does anybody have experience with Azure Document Intelligence? How does it compare to OAIs extraction capabilities?

Would you mind giving some insight to your approach?

aider.chat

command-line driven, you give commands, the system directly changes your code and commits the changes so you can easily go back.

I personally had good experience with a ZMA supplement for exactly the problem you described (not a severe though). More vivid dreams also.

The core issue that parent is talking about is that the decision-tokens should built on the reasoning-tokens vs the reasoning-tokens are generated according to the decison-tokens. RAG just provides the context the LLM should reason about.

Could you elaborate on your setup and what tasks you delegate?

Interesting idea. This made me think of these audio illusions[0] where what you hear depends on what you expect to hear. I wonder if this would present challenges for the proposed approach.

[0] https://www.youtube.com/watch?v=8FXQ38-ZQK0 sorry for the fast-food-tier video, best I could find that was not a short.

Check out the works of Eamonn Keogh. I think his methods are very up to date and applicable as most of his algorithms have implementations in sktime/tslearn/stumpy etc.

Hit me up if you want to chat. I‘ve been a hobbyist algotrader for some years (with mixed results).

I’d say this: It is very hard to beat the market consistently. It is even harder to statistically prove and convince yourself that our new strategy actually now beats the market. There are a lot of gotchas and caveats to watch out for when backtesting.

I spent most of my time with time series techniques as this was most fun to me. My current stack is ccxt, binance, polygon.io and self made backtesting in python.

Interesting indeed, only one lagged feature for time series forecasting? I’d imagine that including more lagged inputs would increase performance. Rolling the forecasts forward to get n-step-ahead forecasts is a common approach. I’d be interested in how they mitigated the problem of the errors accumulating/compounding.

Seems to have very similar ingredients to the DIY solution from another poster. Essentially bees wax and some kind of oil and/or butter. I’ll give it a try, thanks!

The added vitamins are interesting, I’ll give it a go, thanks!

Pure coconut oil is one of the things that actually make my lips more flaky. I feel it might help in hot and dry climates but not so much in cold climates.

Very interesting, thank you!

Actually, I had a similar off-putting experience with tsfresh. I just thought it was due to me not understanding how to use it properly. The API is indeed pretty weird.

For feature engineering check out tsfresh and sktime, especially the minirocket algorithm.

https://tsfresh.readthedocs.io/en/latest/

https://www.sktime.org/en/v0.8.2/api_reference/auto_generate...

Read "The War of Art" by Steven Pressfield. This book is about exactly this kind of resistance.

Alcohol also helps a ton with foreign language speaking. Are there any parties at work or events where you could have a drink or two? The confidence boost and positive speaking experience could have some carryover to sober work life. Other than that, give it time, push through until you don't care anymore, you will get there.

It can be a very nice personal gift as well.

15% of 33 is the same as 33% of 15. Sometimes you get an easier calculation by switching the numbers this way.

With that title you spoke my mind and coincidentally I am of similar age. Maybe the internet didn't change so much, maybe you just got tired of it? Ultimately, I think doing things is more fulfilling than being on the internet so it might be actually a healthy reaction that you become depressed.

I think the cutting off that you experience is also caused by the audio lag in Zoom meetings.

What somewhat works is to start your sentence with a "So... " (or something similar). That way you can easily pull back if the other one was not finished and on the other hand you gently signal your desire to say something to others.

All I can say is that Wim Hof breathing makes me feel real good. It wakes me up and calms me down at the same time, its very pleasant. This effect is both physical (you feel energized) and psychological (your thought quiet down and you become more present).

Very pleasant how intuitive you start building the city. I kind of missed seeing villagers running around and it is kind of hard to see if a building is active. The game feels really nice but I missed a bit of that visual feedback, but that might be just my taste. Nice work.

Nicely put. Care to share your writing system?