Readit News logoReadit News
BrokrnAlgorithm commented on AI generated music barred from Bandcamp   old.reddit.com/r/BandCamp... · Posted by u/cdrnsf
BrokrnAlgorithm · a month ago
I'm a musician, but am also pretty amused by this anti ai wave.

There was recently a post referencing aphex twin and old school idm and electronic music stuff and i can't help bein reminded how every new tech kit got always demonized until some group of artists came along and made it there own. Even if its just creative prompting, or perhaps custom trained models, someday someone will come along and make a genuine artistic viable piece of work using ai.

I'd pay for some app which allows be to dump all my ableton files into, train some transformer on it, just to synthesize new stuff out of my unfinished body of work. It will happen and all lines will get blurred again, as usual.

BrokrnAlgorithm commented on The first year of free-threaded Python   labs.quansight.org/blog/f... · Posted by u/rbanffy
kstrauser · 9 months ago
I haven’t been using it that much longer than you, and I agree with most of what you’re saying, but I’d characterize it differently.

Python has a lot of solid workarounds for avoid threading because until now Python threading has absolutely sucked. I had naively tried to use it to make a CPU-bound workload twice as fast and soon realized the implications of the GIL, so I threw all that code away and made it multiprocessing instead. That sucked in its own way because I had to serialize lots of large data structures to pass around, so 2x the cores got me about 1.5x the speed and a warmer server room.

I would love to have good threading support in Python. It’s not always the right solution, but there are a lot of circumstances where it’d be absolutely peachy, and today we’re faking our way around its absence with whole playbooks of alternative approaches to avoid the elephant in the room.

But yes, use async when it makes sense. It’s a thing of beauty. (Yes, Glyph, we hear the “I told you so!” You were right.)

BrokrnAlgorithm · 9 months ago
I find python's async to be lacking in fine grained control. It may be fine for 95% of simple use cases, but lacks advanced features such as sequential constraining, task queue memory management, task pre-emption etc. The async keword also tends to bubble up through codebases in aweful ways, making it almost impossible to create reasonably decoupled code.
BrokrnAlgorithm commented on Statisticians use a technique that leverages randomness to deal with the unknown   quantamagazine.org/when-d... · Posted by u/Duximo
fleischhauf · a year ago
you are right you still need the number of clusters
BrokrnAlgorithm · a year ago
I've been out of the loop for stats for a while, but is there a viable approach for estimating ex ante the number of clusters when creating a GMM? I can think if constructing ex post metrics, i.e using a grid and goodness of fit measurements, but these feel more like brute forcing it
BrokrnAlgorithm commented on The LMAX Architecture (2011)   martinfowler.com/articles... · Posted by u/mooreds
BrokrnAlgorithm · a year ago
Is there any didactic implementation of the Disruptor / multicast ring available somewhere? I've been curious in working through some practical example to understand the algorithm better.
BrokrnAlgorithm commented on Disruptor-rs: better latency and throughput than crossbeam   github.com/nicholassm/dis... · Posted by u/nicholassm83
BrokrnAlgorithm · 2 years ago
Is there also a decent c++ implementation of the disruptor out there?
BrokrnAlgorithm commented on Ask HN: Who wants to be hired? (June 2024)    · Posted by u/whoishiring
BrokrnAlgorithm · 2 years ago
- Location: Switzerland

- Remote: Yes

- Wiling to relocate: Yes

- Technologies: C++, Python, Torch

- CV: https://www.linkedin.com/in/estlan-7217a8aa/

- Email: estebanlanter86 [at] gmail [dot] com

About me: Professional Machine Learning / Quant development background (Python, Torch). Experience with low latency software Engineering in C++. Expertise in time series related engineering topics in both ML and software engineering.

Happy to relocate, no need to stay in my field (curious to see new stuff too!)

BrokrnAlgorithm commented on OpenAI Sora's first short film – "Air Head," created by shy kids [video]   youtube.com/watch?v=yplb0... · Posted by u/andersource
insin · 2 years ago
Nice solution to making a film when you can't have a main character who is visibly the same person in multiple scenes.
BrokrnAlgorithm · 2 years ago
This is a known problem in generative workflows for AI vids, but solvable. Midjourney recently introduced a feature that does this for stills, and controlnets available for the comfyui ecosystem also can partially solve this, albeit with some hassle. I'm pretty sure if not OpenAI themselves others will follow with their foundation models.
BrokrnAlgorithm commented on Chronos: Learning the Language of Time Series   arxiv.org/abs/2403.07815... · Posted by u/Anon84
BrokrnAlgorithm · 2 years ago
Coming from finance, I always wonder how and if these large pre-trained models are usable on any financial time series. I see the appeal of pre-trained models in areas where there is clearly a stationary pattern, even if its very hidden (i.e industrial or biological metrics). But given the inherently high signal/noise ratio and how extremely non-stationary or chaotic the financial data processes tend to be, i struggle to see the use of pre-trained foundation models.
BrokrnAlgorithm commented on MeshGPT: Generating triangle meshes with decoder-only transformers   nihalsid.github.io/mesh-g... · Posted by u/jackcook
ipsum2 · 2 years ago
We're not stuck on meshes. Check out neural radiance fields as an alternative.
BrokrnAlgorithm · 2 years ago
I was referring to being stuck with having to create simple / low tri polygonal meshes as opposed to using complex poly meshes such as photogrammetry would provide. The paper specifically addresses clean low poly meshes as opposed to what they call complex iso surfaces created by photogrammetry and other methods
BrokrnAlgorithm commented on MeshGPT: Generating triangle meshes with decoder-only transformers   nihalsid.github.io/mesh-g... · Posted by u/jackcook
fireant · 2 years ago
My understanding is that it's quite hard to make convex objects with radiance fields, right? For example the furniture in OP would be quite problematic.

We can create radiance fields with photogrammetry, but IMO we need much better algorithms for transforming these into high quality triangle meshes that are usable in lower triangle budget media like games.

BrokrnAlgorithm · 2 years ago
"Lower triangle budget media" is what I wonder if its still a valid problem. Modern game engines coupled with modern hardware can already render insane number of triangles. It feels like the problem is rather in engines not handling LOD correctly (see city skylines 2), although stuff like UE5 nanite seems to have taken the right path here.

I suppose though there is a case for AI models for example doing what nanite does entirely algorithmically and research like this paper may come in handy there.

u/BrokrnAlgorithm

KarmaCake day95February 23, 2020View Original