karxxm

Replacing juniors with AI is stupid because who will be the next senior? AI won't learn anything while performing inference only.

A wonderful satire!

Most volume renderers lack a good transfer function editor. When analyzing volumes, especially explorative analysis, the most effective tool is to dial in colors and opacities for certain value ranges, in order to find structures.

The volume rendering engine I have been working on uses a histogram for the value distribution, and on top of it, one can draw lines that indicate the opacity. Additionally, one can set colors to the control points, which are then linearly interpolated for the given ranges.

What’s that color-map called?

Most “professional” techno djs in Germany use Traktor, if they are not using Ableton or the CDJs

It depends I guess.

If you solve a problem that had been around for a while and LLMs offer a new way of approaching it, then it can definitely become a paper.

Of cause one has to verify in sophisticated experiments, that this approach is stable.

Unfortunately no mention of colorbrewer (https://colorbrewer2.org)

Not true. You need a distance matrix (for classical PCA it's a covariance matrix), which scales quadratically with the number of points you want to compare. If you have 1 Mio. vectors, each creating a float entry in the matrix, you will end up with approx (10^6)^2 / 2 unique values, which is roughly 2000Gb of memory.

Unfortunately this is not feasible with a large amount of words due to the quadratic scaling. But thanks for the response!

You wrote „out of the box“, did you find a way to improve this?

Some architectures are relatively well understood. Eg in CNNs, the first layers detect low level features like edges, gradients, etc. The next layer then combines these features to more complex structures like corners or circles. Next layer will combine these features to even higher level features and so on. [1]

Typically, you can take a pre-trained model and retrain it on your new dataset by only changing the weights of the last layer(s).

Some loss functions even measures the difference between the high-level features of two images, typically extracted from a pre-trained CNN (Perceptual Loss).

[1]Matt Zeiler did an amazing work on these findings 10 years ago (https://arxiv.org/abs/1311.2901).

I have not seen many work on explainable AI regarding large language models. I remember many very nice visualizations and visual analysis tools trying to comprehend, what the network „is seeing“ (eg. in the realm of image classification) or doing

The basis of 80% of all newly appearing „AI“ projects/startups

It even suggests "Wang et al" as the author

Ruby on rails

Yeah, everyone in the world is tech savvy enough to work with password managers. Reality looks different, trust me.

Definetly not true. This can be the best password in certain conditions. You should not put your "good" passwords to any shady site out there. You have no idea how passwords are stored on all these platforms one is registering to. If you can live with the fact, that an account may be hacked, then go for a super easy password if you want.

This guy is awesome

Having no framework comes with having no documentation.

If you select a framework and work in the same scope as the framework intends to, then you can onboard new engineers much more easily by telling them: We are working as the framework defines, look into the documentation and you will understand the basic architecture of our software.

Of cause, devs can maintain their own documentation, but I guess this usually is something that is not done very well.

My personal experience: As soon as a company started their software without a framework, it became a huge mess. While onboarding, I observed very bad architectural decisions and even very severe security issues.

I'd say, only go with no framework, if you are experienced enough to technically create an own (good) framework. From my observations, going without a framework was usually a decision done by young engineers.

All your advantages of Java also apply to Python. Why would Java be the better choice compared to Python? Or to rephrase this question, why do you think that Python is only good for small teams (with an eye on all these massive billion dollar projects like Instagram which were built in python)?

A NeRF is a deep neural network architecture, that takes a set of photos from multiple camera positions of a given scene as an input and outputs a volume representation of this scene. Volumes allow for many common volume rendering interactions like repositioning the camera from any angle or even lighting effects.

No they don’t because I have AdGuard und my local network and on my phone. And I don’t understand why someone would not install this

What would the input to such a model be? The malicious code snippets? Or do you want to classify packages according to other meta data?

It would be very awesome if one could fold and unfold a sphere in order to have a even better intuition how the projections work. For example check this visualization: https://www.youtube.com/watch?v=b1xXTi1nFCo

But one can say that 20% of the content on the platform was distributed by bots. Meaning that all the Lurkers have to consider if they are really interested in content, that was pushed by some bot-farms. Technically, every user of this platform has to take a step back and evaluate, if anything they have seen is not pushed content by some bots.

20% is huge and I am curios if there will ever be some comparable "official" numbers to that.

For me, it's not "how" you do it (e.g. which framework). Important is "what" you are doing.

If your new gig is e.g. a random e-commerce software that contributes to the laziness of people or their consumerism, maybe you are the type of person that just don't care for the product, therefore won't put any effort in learning things for that?

Are you also considering time lagged correlations?

To me I don't care if a certain stock is correlated by something, I would more like to know which stocks do have correlations or if there are correlations with a time lag

By posting this study here on hacker news, you will somehow get a bias in your study. Here, we are usually very technical people. We work with randomness, we studied it, implemented it or proved something about it. Many have studied it in university and have a different understanding of randomness than non-technical people.

Therefore I would be carful when evaluating this study when a lot of the participants of this study came from here.

The idea to get rid of having to trust centralized organizations might sound tempting, but it doesn’t work: Blockchains don’t get rid of “trust”, they just change, who has to be trusted.

What if a group of trusted organizations run a blockchain together?

Am try to raise my 3yo daughter completely ad free. When watching a show, we exclusively use paid providers like YT, Netflix, Disney where no ads are present. Additionally, AdGuard helps removing some annoying Ads from minigame-Apps. For now, she is very young and it doesn't matter so much. But still, I want to keep up with this as long as possible. No free TV and no ads on web for her!