kitsuac's comments

kitsuac | 6 years ago | on: CDC to cut by 80 percent efforts to prevent global disease outbreak (2018)

Why is the US apparently responsibile for this financially in the first place? For the future, will other countries join financially to up our global defenses against future outbreaks?

It sounds like the US took up a global cause on its own and when the clock ran out they didn't renew because that emergency had subsided.

Is this what was being pinned as Trump's "fault" in recent press and social media?

kitsuac | 6 years ago | on: Software optimization resources for C++, assembly, Windows, Linux, BSD, Mac OS

Low level optimization (assembly) is mostly only useful with algorithms which have instruction level parallelism. Modern compilers are incredibly good at optimizing serial algorithms.

Making use of compile time branch reduction can be massive. For example template parameters which are evaluated at compile time skipping lots of work at runtime.

kitsuac | 6 years ago | on: NASA images show China pollution clear amid slowdown

It's crazy to think, if human civilization were to shut down the earth would fairly rapidly become much better off. Other species would flourish again, plants would slowly take over our cities. There'd be less bickering. Hm.

kitsuac | 6 years ago | on: 100% winrate trading strategy open sourced?

Consider if your trading algorithm simply searched the history for that sliding window of data and then presented the following data as it's "prediction" -- it's utterly useless. This is the function of a compressor rather than a predictor.

kitsuac | 6 years ago | on: No nuances, just buggy code (was: related to Spinlock implementation)

All of these little details vary dramatically depending on the exact CPU and workload. I've developed a wide variety of scheduling strategies and have used neural networks to predict when a given strategy will be better. Scheduling is giant non deterministic mess with no ideal answers.

kitsuac | 6 years ago | on: Machine learning is fundamentally conservative

Without AGI there are still cases when the lower probability prediction will be better, and will lead to escaping a local minima. I'd argue that the potential benefits of calibrating that axis dynamically exist with or without AGI.

kitsuac | 6 years ago | on: Machine learning is fundamentally conservative

It isn't /fundamentally/ conservative, it is just typically programmed to choose the most conservative (highest probability) predictions. You could integrate a liberal aspect by fuzzing the decision process to choose from lower probability predictions.

More creativity, and ability to escape local minima, but at some cost when dealing with 'typical' cases and when making particularly damaging mispredictions.

kitsuac | 6 years ago | on: H

What's coming through is alive What's holding up is a mirror But what's singing songs is a snake Looking to turn this piss to wine They're both totally void of hate But killing me just the same
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