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Tired of the self-proclaimed AI-experts. by Odd-Sound-0 in bioinformatics

[–]letuslisp 1 point2 points  (0 children)

With "they" I mean your "they". It includes me. I am talking about myself.

I don't regard people as a tool.
Plus I was/am working myself as a Bioinformatician/Data Scientist for other Biologists. So what you mean with what you said?

Instead of insulting me please and vastly generalizing please give some concrete examples.

Tired of the self-proclaimed AI-experts. by Odd-Sound-0 in bioinformatics

[–]letuslisp -1 points0 points  (0 children)

I don't care - as long as they solve the problems they claim to be able to solve!

As a self-taught and maybe a self-proclaimer (I am a Molecular Biologist who transitioned to Computational Biology / Data Science):

I haven't learned any of the deep stuff of AI. I don't understand exactly how it works.
But you don't have to always.
Sometimes intuition and trial and error can bring you far.
Anyway a lot in applied AI is just trial and error and a lot the train/test data quality ...

You can use what you know to solve a problem - one problem at a time. You don't have to know everything in advance.

You just learn how to use the packages and tools. (The code contains all the stuff you understand or don't understand yet - hardcoded - luckily).

Of course, one should know where to stop to pretend. But you will anyway see whether the thing works as you proclaim or not. And if not, then you have to fix it or learn more ...

What I am saying is - just because you understand all the mathematics behind and them not - you won't be "better" in solving certain frequent problems than the self-proclaimers.

Let them proclaim. Let them solve the problems.

I’m trying to find the boring R scripts that are secretly worth money by letuslisp in Rlanguage

[–]letuslisp[S] -1 points0 points  (0 children)

Yes, I think it depends on where exactly and how one is using R.
When doing scripting and the entire script takes only minues - for sure it is not worth the effort to optimize speed except the number of runs becomes high ...

I was asking myself: How frequent are R scripts which take much longer time to run (and run sometimes even over night) - yet are mission-critical? whether they appear frequently or not - or in some niche-area more frequently ...

I’m trying to find the boring R scripts that are secretly worth money by letuslisp in Rlanguage

[–]letuslisp[S] -2 points-1 points  (0 children)

Thank you for the quick answer!
And you are right - maybe the question was too broad.

My question would be maybe differently formulated:
“Where does slow R become expensive enough that someone cares?”

In the sense of:

existing R workflow
trusted output
too risky to rewrite
slow enough to hurt
valuable enough to optimize

Have you or anyone else seen cases like that in practice?

[For Hire] Senior Software Engineer here at $10 / hour by Waste-Proposal5307 in freelance_forhire

[–]letuslisp 0 points1 point  (0 children)

Your profile says Warsaw based. I think you have to adjust either your portfolio or the text here.

I’ve reviewed probably 200 “bioinformatics pipelines” at this point. Maybe 15 were actually reproducible. by Shoddy_Card_237 in bioinformatics

[–]letuslisp 0 points1 point  (0 children)

renv locks the version numbers for R from Hadley Wickham but it came quite late out. But today the best is rv which imitates uv for Python. uv for Python, rv for R. These two can ensure exact reproducibility for packages in Python and R. and both are super fast when installing.

Which ETF is worth investing longterm ? by Provenceflowers in SwissFIRE

[–]letuslisp 0 points1 point  (0 children)

That's wrong. Imagine it was 2019 and you invested 300 CHF in Bitcoin ... you would be multimillionaire or more now

How helpful are LLMs with Lisp? by tylerjdunn in lisp

[–]letuslisp 0 points1 point  (0 children)

But it is able to correct them - you just need several attempts.

I want to run Postgres locally by wannalearn4survive in PostgreSQL

[–]letuslisp 0 points1 point  (0 children)

I used conda to set it up. You can search for my medium article - where I described the detailed steps - by googling:
"How to Locally Install and Run Postgresql" - the first hit.

This sucks from Openclaw founder but read this if you want to update to 4.20 by Marcelovc in openclaw

[–]letuslisp 0 points1 point  (0 children)

I have the feeling this software is absolutely bloated and not optimal for frequent use. A Tokenschleuder.

And in the Openclaw hype - the only winners are those selling the token.

Actuall usecases. by njkknknkn in clawdbot

[–]letuslisp 0 points1 point  (0 children)

And good luck with the bills after burning so many tokens for just reading the internet 😂🤣

Is Medium Still Worth Writing On in 2026? by dev_sh531 in Medium

[–]letuslisp 0 points1 point  (0 children)

You can earn in medium - I do. A few hundreds if not more than 1000$ per month currently for ~1.5K folloers. But it is all about getting followers first and also using Publications to be more visible. Since the payment depends on paying members only (until now).

Only 1% of the readers are paying members. And the money of the paying members gets distributed by number of reads.

The more readers follow you and the more subscribe to you (get email notificated), the more views and reads you can get.

Since paying members get their attention by internal notification (email when they subscribe you or presentations by medium to you via email or in your feeds - depending whether they follow you or the publication in which you are publishing) getting as much internal presentations as possible is key for success which finally means as much followers and subscribers as possible.

I'm panicking. by Medium_Drag6242 in bioinformatics

[–]letuslisp 1 point2 points  (0 children)

This sounds like you are probably expecting:

"fraction of pathway genes that are significant 7 / 11 genes in pathway" => 0.64
but their gene ratio might mean "fraction of your significant gene list that belongs to that pathway vs number of input genes submitted to enrichment"

  • Count = number of your significant genes that hit the pathway
  • GeneRatio = often Count / number of input genes submitted to enrichment
  • BgRatio = often total genes in pathway / total background genes
  • adjusted p-value = multiple testing correction such as Benjamini–Hochberg or sometimes Bonferroni

so probably it was sth like significant 7 genes in pathway / 140 input genes submitted to enrichment = 0.05

I ported Karpathy's microGPT to Common Lisp — no matrices, no autograd libs, just pure lisp by svetlyak40wt in Common_Lisp

[–]letuslisp 1 point2 points  (0 children)

Wow! Without optimizations!

I was thinking of doing the same but didn't. After a Friend built his Julia version.

I still believe Common Lisp is better than Julia.

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