Viewing profile — krallistic

Various reasons Some people just believe there is no innate knowledge or we dont need it if we just scale/learn better (in the direction of Bitter Lesson) (ML) Academia is also hea…

Seems like a band-aid solution for a broken system. But in general science will have to deal with that problem. Written text used to "proof" that the author spend some level of tho…

Its quite funny to see that LLMs reviewed interest in KnowledgeGraphs/Reasoning/Triple Stores etc... since (on a high level) they both are often pitched to solve the same goal. (E.…

And sampling from a (now fixed) distribution can be made deterministic... So the total generation of text from an LLM can be made fully deterministic. The problem for scientists is…

"The goal of Automated driving is not to drive automatically but to understand how anyone can drive well"... The goal of DeepBlue was to beat the human with a machine, nothing more…

Start-ups deliver something much more complicated/different than these research projects. If the whole research project at the end actually delivers a somewhat coherent prototype, …

Teaching is not really relevant in the hiring process of professors. I saw several committees for prof position and teaching is treated like a checkmark. You should done it and pro…

"Deep learning is hitting a wall now with just scaling" "Deep learning is only good for perception" (with language one of the areas where its not good)

But in this example, many of the programmers know the alternative (i.e they learned c++, java etc) and still prefer something else...

That point is also a bit of a stretch. While there are a few papers on using KG/Ontologies to enhance training, this is really far from the mainstream, and i would be surprised if …

Death at Via Ferratas are extremely rare (with proper gear ofc). But the falls are notoriously hard. Force can get really high and the chance of injury is high, even in cases where…

This. In the second article, the author touches on this a bit. With a local setup, I often think, "Might as well run that weird xyz experiment over night" (instead of idling) On a …

"Search" has been the name for the A* space. So it makes absolute sense. "Planning" means in the symbolic AI space often something quite in the direction of PDDL/STRIPS/ICAPS plann…

> The biggest thing any ML practitioner realizes when they step out of a research setting is that for most tasks accuracy has to be very high for it be productizable. You can do ha…

> gives me the impression that anything other than grid search hyper parameter optimization is a fools errand. This would give credence to the notion that hyper parameter tuning re…

I would guess because China and Russia are relevant markets for tesla...

"Inference" - getting the predictions out of the model. While training you need to run: Input -> Model -> Output (Prediction) - Compare with True Output (Label) -> Backpropagation …

If claims to have good knowledge in TS, but had not played around with Prophet (which is dead simple, takes a few hours - or 15 minutes for you - to see some problems), how interes…

Its easy to point at the bookshelf example and say "Haha AI is stupid", but its actually quite impressive. One could easily argue that most human interviewers have similar bias, an…

For must use-cases the performance cost of loading the model are pretty low compared to either their training cost or making thousands of inference calls (when used in an API). May…

"Among young men [...] and the growing percentage who coreside with their parents all contribute significantly to the decline in casual sex. The authors find no evidence that trend…

Sure if no methods/work exists. In this case there already has been some work done, to mitigate these issues. So either mention them in related work and/or highlight why theses met…