dewhelmed

Same thought here when I saw Singapore on the list, but my god it's >S$5000. Is there a cheaper way to get hold of one?

Fair point.

Wow, what an unpleasant hate-filled response to a single paragraph taken out of context from the entire post.

The fact that his work is still referenced, is still part of the game, and wanted by people on t-shirts/mugs/etc is significantly more contribution than the moronic made-up "0.000000000001%" number you claim.

He is a flawed person and he admits it several times in his post. But he also uses his story to highlight some good points about how broken the tech-capitalist system can be for artists, and that is my takeaway from this post. So please have a little empathy, it is not easy to know if you are being treated fairly in this complicated world today.

Based on my experience, it is possible, and the key factor is something she highlighted:

> I worked in venture capital for two years at a fund specializing in the area my Loyal is in (so I had a preexisting VC network, was seen as a bit of an ‘insider’, and the fund invested in Loyal, which was good signaling).

What sort of gaming-related workload do you think an FPGA would be suitable for? I don't know much about the gaming world, but isn't the majority of the computational workload graphics-rendering related, in which case, the GPU architecture is the best candidate to iterate on?

If you don't mind disclosing, what was your particular use-case (the labeled dataset you trained on)?

The second one reads like a Buzzfeed article...

> What 99% of programmers don't know about memory... number 17 will shock you!

He mentions his reason for the title:

> The title of this paper is an homage to David Goldberg’s classic paper “What Every Computer Scientist Should Know About Floating-Point Arithmetic”

Singaporean in Sydney here -- I've barely found any decent Asian food in my time here, not to mention the exorbitant prices. Could you recommend some options? I'll love to improve my food options here.

My bad, I felt like I've seen that error pop up before in my Makefiles, but I should have double-checked before commenting.

My bad, I felt like I've seen that error pop up before in my Makefiles, but I should have double-checked before commenting.

Because CFLAGS may not be set in the environment, resulting in concatenation to an undefined variable error.

Just to add, I really enjoyed Scott Aaronson's essay on this topic: https://www.scottaaronson.com/writings/bignumbers.html

If you don't mind, could you share some resources on existing models that approximate the neuron behaviour more accurately? If you're talking about feedback-driven models like RNNs/LSTMs/GRUs/etc, then I can safely say that there are people working on realising these models on custom computing architectures. The simple feed-forward neural network could be thought of as the low-hanging fruit in this regard, which, nevertheless, is still an impressive feat.

So does that mean the network is now demanding each ether be mined every 12 seconds (20% harder statistic mentioned in the linked article), or the difficulty has increased naturally? E.g. there has been a large spike in the number of ether miners lately, which has caused the network to naturally readjust the difficulty to maintain the 15s/ether mining rate? If so, these GPU miners leaving the field would readjust the difficulty back again towards the original levels, or is this difficulty change a more permanent thing due to some underlying change in the technology?

From their post-hackathon devpost at https://devpost.com/software/gpu-js,

What I learned: Not to make a compiler during a hackathon.