visionscaper

6 ms·

1.
by visionscaper 5mo ago
Author of collabmem here! Let me add some detail on how the memory stays manageable as it grows. Two mechanisms keep it sustainable, neither deletes anything, and both are discussed with you before being applied: - Upward consolidation —
2.
Show HN: Collabmem – a memory system for long-term collaboration with AI(github.com)
11 points by visionscaper 5mo ago|1 comments
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by visionscaper 11mo ago
Isn’t to core of MacOS derived from Unix?
4.
by visionscaper 3y ago
> Instead of modifying spacetime, the theory – dubbed a “postquantum theory of classical gravity” – modifies quantum theory and predicts an intrinsic breakdown in predictability that is mediated by spacetime itself. This results in rando
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by visionscaper 3y ago
Related question, does anyone have experience with using the AMD MI100 for deep learning? With 32GB and a second hand price of ~1100 USD, it could be a good choice.
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by visionscaper 3y ago
I’m wondering about the performance of such a cluster of repurposed mining GPUs. Mining doesn’t need high bandwidth interconnects nor large per GPU memory, on the other hand training deep learning models such as LLMs does need that. I’m not
7.
by visionscaper 3y ago
Just read your comment, I made a similar comment here: https://news.ycombinator.com/item?id=36543226
8.
by visionscaper 3y ago
Like others mentioned in this thread, I don't think this is Apple's final vision for a Apple Silicon Mac Pro. To me, the only way forward is for Apple to, either use PCIe, or another proprietary high bandwidth bus solution, to con
9.
by visionscaper 3y ago
I'm wondering to what extend these benchmarks, especially the GPU benchmarks, are really optimised for the specific Apple M2 architecture? And to what extent the high GPU-GPU bandwidth is benchmarked, this also influences real-world pe
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by visionscaper 3y ago
While this answer spooks me, the LLM is literally following your brief; it is explicitly unethical and immoral, just like you asked.
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by visionscaper 3y ago
This is the result of a system without any value judgment or morals, that’s the scary part. If these items are from existing lists it picked lists from authoritarian and totalitarian playbooks.
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by visionscaper 4y ago
I’m a bit skeptical. ChatGPT can still hallucinate, generating information that seems correct, but is in fact nonsense. I’m wondering how they are going to deal with that.
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by visionscaper 4y ago
Only tangentially related; why is Teams removing space indentations in chats on MacOS? It’s so annoying when you type a piece of (pseudo) code, all leading spaces are removed! It drives me nuts, why would anyone implement this!
14.
by visionscaper 4y ago
I’m not using an M1 machine yet, but I think is extremely useful to be able to do some small scale experiments for testing and debugging purposes locally before starting a full-scale training job in the cloud. Further, in general, I’m reall
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by visionscaper 4y ago
I don’t know much about the black hole information loss problem and I do like Sabine’s skepticism. However, saying it has no use to work on mathematical solutions in this area is taking it one step too far. Maybe, based on the solutions oth
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Making Deep Learning Go Brrrr from First Principles(horace.io)
3 points by visionscaper 5y ago|0 comments
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by visionscaper 5y ago
I’m wondering what this all means for the upcoming Mac Pro. Apple mentioned that the M1 Ultra is the last member of the M1 family. So how is the Mac Pro going to scale? Will Apple enable “traditional” scaling by allowing multiple M1 Ultra c
18.
by visionscaper 5y ago
Interesting, thanks for sharing this. Apparently they are going to use “HIP” to convert CUDA applications to be able to run on AMD: > The OLCF plans to make HIP available on Summit so that users can begin using it prior to its availabili
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by visionscaper 5y ago
What software will they use to, for instance, train large deep learning models? Nvidia has CUDA, AMD has what? Are they writing new software from scratch? Maybe they have a lot of frameworks to solve problems in the “traditional” HPC space
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New CoreScore World Record Crams 6k SERV RISC-V Cores into a Single FPGA(hackster.io)
4 points by visionscaper 5y ago|0 comments
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PyTorch for AMD ROCm Platform now available as Python package(pytorch.org)
2 points by visionscaper 5y ago|0 comments
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Imitating Interactive Intelligence(deepmind.com)
4 points by visionscaper 6y ago|0 comments
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by visionscaper 7y ago
I don't know too much about it myself, but you could checkout https://rocm.github.io/dl.html Edit : directly linked to the ROCm deep learning page.
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by visionscaper 7y ago
I decided a few weeks ago to transition to PyTorch (was using Keras before) and I must say that I really love it! How PyTorch is structured gives me the right balance between ease of use and the ability to make customisations. Further, usin
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by visionscaper 7y ago
> Configure two MPX Modules with up to four GPUs That's total, right? Not 4 GPUs per MPX module?
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by visionscaper 7y ago
Why is my comment downvoted? If you have any beef with it, please reply.
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by visionscaper 7y ago
The 2019 Mac Pro is what you get when you let "Pro's", the users of the intended product, influence the vision of the product. Something I don't think has Apple has done ever, and rightly so. Users aren't product de
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Swift for TensorFlow APIs(github.com)
2 points by visionscaper 8y ago|0 comments
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by visionscaper 8y ago
Is the used dataset with conversations available somewhere? What about the model architecture?
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I've used Apple computers my entire life. why I'm never buying one again(businessinsider.com)
42 points by visionscaper 8y ago|27 comments

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