rdedev

I work with chemical datasets and this always involves converting SMILES string to Rdkit Molecule objects. Polars cannot do this as simply as calling .map on pandas.

Pandas is also much better to do EDA. So calling it worse in every instance is not true. If you are doing pure data manipulation then go ahead with polars

At work I only have access to calude using the GitHub copilot integration so this could be the cause of my problems. Claude was able to get slthe first iteration up pretty quick. At that stage the app could create a plot and you could interact with it and ask follow up questions.

Then I asked it to extend the app so that it could generate multiple plots and the user could interact with all of them one at a time. It made a bunch of changes but the feature was never implemented. I asked it to do again but got the same outcome. I completely accept the fact that it could just be all because I am using vscode copilot or my promoting skills are not good but the LLM got 70% of the way there and then completely failed

> "Democracy works best when men and women do things for themselves, with the help of their friends and neighbors, instead of depending on the state."

These are nice sentiments to have but it does not work in the real world. At a certain point certain problems are too complex for a regular person to understand.

This is same as the critiques of the LLM paper by apple where they showed that LLMs fail to solve the tower of hanoi problem after a set number of towers. The test was to see how well these models can reason out a long task. People online were like they could solve that problem if they had access to a coding enviornment. Again the test was to check reasoning capability not if it knew how to code and algorithm to solve the problem.

If model performance degrade a lot after a number of reasoning steps it's good to know where the limits are. Wheather the model had access to tools or not is orthogonal to this problem

https://youtu.be/-xTaAHSFHUU

High critic score / low audience score = Avant garde type films. Might go over your head

Low critic score / high audience score = Maybe fun but forgettable movie

China is on track to reduce its use of fossil fuel for energy production

Huggingfaces's smolagents library makes the llm generate python code where tools are just normal python functions. If you want parallel tools calls just prompt the llm to do so. It should take care of synchronizing everything. Ofcourse there is the whole issue around executing llm generated code but we have a few solutions for that

I have a bit of background in this field so it's nice to see even people who were at the top of the field raise concerns that I had. That comment about LHC was exactly what I told my professor. That the whole field seems to be moving in a direction where you need a lot of resources to do anything. You can have 10 different ideas on how to improve LLMs but unless you have the resources there is barely anything you can do.

NLP was the main reason I pursued an MS degree but by the end of my course I was not longer interested in it mostly because of this.

You can look at other sources to see how good kerala is doing wrt other states but I do agree the article over emphasised the good parts without any hint to it's bad parts

And besides what is the point of talking about how Europe did it 100 years ago? We know better now and still we are not taking an effort to instill some basic civic sense here.

Depending on where you are born, you can be exposed to a completely different set of microorganisms or compounds present in the environment. Your body first needs to know which of those are benign and not. A simple heuristic is to tolerate most of these that you have been exposed to till a certain age.

But hey this is just my armchair biology. Don't know if there is anything supporting it

The problem with this zero sum thinking is there is another player outside of the countries if the world; nature itself. Think natural disasters, climate change, diseases. No one can negotiate with it or form alliances. It does not care about our survival. The only choice we have is to come together to make sure we don't get screwed over.

So far my issue with pyiodide or other interpreted variants of python in wasm is the huge startup time especially if you need to install dependencies. The above projects i hope eventually reach a point where we can just compile everything

The ceo kind of explains why in this video. In essence it seems to be a limitation of the chip from AMD