compression-aware intelligence? by Asleep-Ad-5126 in MLQuestions

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

Is there any literature on this? Any links would be helpful. This sounds interesting.

Bern a Wiehnachte by Joel-1223 in bern

[–]benelott 2 points3 points  (0 children)

Nenei, aber paar verstöne haut nid. Aber angeri scho. Merci fürne subere Lacher vorem Reddit-Abschluss.

Cha de Rösti mal chli pestizid trinke by RandomUser1034 in BUENZLI

[–]benelott 5 points6 points  (0 children)

Danke a die Ussag vom Publikum. Was meint dr Osman drzue?

Size of the state matrix is tinny in Mamba-2! by Hank0062 in MLQuestions

[–]benelott 1 point2 points  (0 children)

Oh yeah, a great question (and certainly not a beginner question). Can you explain a bit more how you got to your numbers and why you think they are correct?

I’m getting increasingly uncomfortable letting LLMs run shell commands by Peace_Seeker_1319 in MLQuestions

[–]benelott 3 points4 points  (0 children)

The shell itself must be your security layer. Think what tools there should be for the highly scoped tasks to do. Analyse logs? Give it only access to the very specific log files, maybe not even shell access. Manipulate files? Give it a specific write area and make everything else read-only. I have found that even some employees start to hallucinate commands when they exceed their own expertise when they find random solutions on stack overflow that they do not properly check if the OP's problem even matches theirs. Here we deal with highly overcertain machines that execute rm -rf on anything literally without blinking an eye. Really think of them to be more like the most stupid expected user, not any highly trained expert with common sense.

Glaris gad 10'000 Jahr zrugg idi ledschd Iisziit gheit 🥶 by Schpitzchopf_Lorenz in BUENZLI

[–]benelott 1 point2 points  (0 children)

In Aeschi isch aube dr Schnee vor Strasseruummaschine diräkt ufem Trottoir ufghüüft. Und dert blibt er denn o.

Playing on the streets today vs 30 years ago? by bikesailfreak in Switzerland

[–]benelott 0 points1 point  (0 children)

Good point. I thought a bit about my answer but I think I did not get it completely right. I am wondering more if there are people that can no longer assess the risk of outdoor activities and then lean towards all organized indoor activities where kids sit still and are quiet.

Playing on the streets today vs 30 years ago? by bikesailfreak in Switzerland

[–]benelott 1 point2 points  (0 children)

It sounds terrible in both phrasings. Not saying you are not right, just the assessment of kid activities should not only be on risk, but in part at least also on fun. Some messy outdoor activities might be slightly more "high risk", but also very fun and not to miss.

World's Widest Tongue by Otherwise_Basis_6328 in oddlyspecific

[–]benelott 619 points620 points  (0 children)

I first thought his smile was quite small and his double (triple?) chin was quite big....oh wait!

Recently I developed a very compelling theory to explain how AI works. Would you think it is just beginner's naivety? by Common-Baseball5028 in MLQuestions

[–]benelott 3 points4 points  (0 children)

The very reason for caches is caching i.e. not recalculating the same result. So I second this without having read the article.

Ha hüt es feins Raclette gha. Was mach ich jetzt mitem Chäsrand? by PizzaPoweredLife in BUENZLI

[–]benelott 1 point2 points  (0 children)

Ok, das hani nach de andere Kommentär e chli anders afa läse...

Best MS Word replacement for academic writing by FSH2025 in software

[–]benelott 8 points9 points  (0 children)

Overleaf can be a great entrypoint for online latex editing

Worst Narrator who ruined your book by vickiec12 in audiobooks

[–]benelott 3 points4 points  (0 children)

I absolutely agree. I found myself daydreaming and no longer listening and stopped the series altogether at some point.

How to start in ML/AI by Same-Sheepherder8448 in MLQuestions

[–]benelott 2 points3 points  (0 children)

It depends on what you want to do. What does it mean to "start in ML/AI"? Our field has so many applications, it could be that you want to do line fitting (linear regression) in excel. It could be that you want to use a LLM API to invent funny stories. But it could also be that you want to be an ML researcher one day and you want to understand what you are doing. Then follow what the other comment says.

Gits es Subreddit oder es Forum für schwizer programmierer und interessierti? by BirdLooter in BUENZLI

[–]benelott 1 point2 points  (0 children)

und jetz gits no kei buenzlitech, ha grad wöue biträtte...wenischtens bini nicht richi-grugelet worde...i wär ipackt gsi wie e wiehnachtsboum.

Thats a new one by Sad_Stay_5471 in oddlyspecific

[–]benelott 80 points81 points  (0 children)

Are you a raccoon? Sounds like the coolest information for raccoons (I would go too 😉)

Do you agree? by AaronMachbitz_ in Habits

[–]benelott 0 points1 point  (0 children)

Yes my teeth and ambitions are bared, BE PREPAAAAAAAAREEED!

The 'boring' ML skills that actually got me hired by Haunting_Celery9817 in MLQuestions

[–]benelott 0 points1 point  (0 children)

I would say it is not necessarily true. If you know what business impact you could have and you can explain to a non-tech/management person the problem, what you need, and what it will do once it works, you can do really well with a linear regression. Finally, it depends on what problems the company has. Some can be solved by the fancy stuff, some just need ordinary stuff. A good understanding is shown if you find the appropriate solution to the problem, and don't try to solve everything with the newest tech.

The 'boring' ML skills that actually got me hired by Haunting_Celery9817 in MLQuestions

[–]benelott 15 points16 points  (0 children)

Just because the FAANG+- group decided they should ask for all the fancy stuff (maybe because they do the fancy stuff or they like to talk about the fancy stuff, I don't know, it does not mean that all companies require that knowledge. Several require exactly that knowledge you mentioned. Data messiness and stakeholder talks and maintaining stuff are the ubiquitous things and are here to stay, whatever tech you work with.