I'm at a loss how my good faith reply gets immediately downvoted away. The game has broken our collective ability to make sense of anything. The wrong scent gets pushed away without any authentic attempt to cohere.
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?
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.
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.
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.
I'm in a similar boat, being rather uneducated here. But I thought it wasn't completely unusual for countries to prod each other's air space. It seems really dangerous for Iran to just auto fire at an encroaching aircraft, potentially starting off a war. In that sense it may be lucky it wasn't a US fighter.
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.
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.
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.
It depends. You aren't going to make a very fast modern codec encoder or decoder using Python. The hotspot ends up being the vast majority of the process. That management/glue layer becomes very thin, amounting only to feeding in the bitstream and reading back the raw video frames.
Most anything you do, in general, will fork off into many branches. Some being required dependencies and many others being tangential improvements or generalizations.
You can either note them in some way as they emerge, or ignore them and keep your code tidy of such notes.
I've been programming C++ and assembly for 23 years. Few years ago I became a huge fan of Python. In my opinion Python is amazingly well suited for rapid first revision and can then be swapped out for C++ / asm.
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
Problem is a tribe and all its associated organizations become dependent on a fresh supply of racists, sexists in order to justify its own continued existence. Evolutionarily, it must continue to find more and more of them to survive, even if they are mostly imaginary