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Comment Re:Can someone help explain "perfect" randomness? (Score 1) 140

You are heading down the right path.

A book that made things more clear for me is "Non uniform random variate generation" by Luc Devroye (https://www.cs.fsu.edu/~mascagni/Devroye.pdf).

The generation of different distributions can be done algorithmically, but the algorithms get to the core of the processes making the noise. E.G. 1/f noise can be made from summing many exponential decaying functions. Electrons falling in holes in silicon - same thing. So we have 1/f noise in silicon. The type of process determines the type of noise whether quantum electron events or rain or insects chirping.

While noise does emerge from quantum things, it also can emerge from higher level processes.

Comment Not True (Score 2) 140

Claims of perfect randomness from quantum physicists are always wrong.

1) The claims rely on some detector being 50/50 (they never are), always detecting individual events (they often see multiple or none) .
2) Randomness amplification is a subfield of entropy extraction and it cannot give you full entropy (aka perfect randomness).

Comment Re:Outsourcing (Score 2) 38

Yes. lf they need to do is hire a team of crack programmers and system architects and have them start work on replacing the systems. Keep them hired as a key department of the post office and they will maintain the system. If it's good they could even license it out to others.

I've seen this happen in other contexts. E.G. in a semiconductor firm, they designed their own tools. Then they made that a whole department and spun it out as one of the chip design tool vendors which is still around today.

If you just outsource it, you will get a product that serves the needs of the vendor, not the customer.

Comment They're Doomed (Score 1) 106

I've been using AI to write code recently. I figured I should give it a go.
Not reviewing and understanding and editing the output code is a recipe for disaster.

For example, in code for a cryptographic hash function there are padding rules to bring the data size to a multiple of the block size and add a length. So for example with SHA3, a minimum of 65 extra bits. If your data length mod the block size is 65 bits less than the block size, then add the pad bit, put the length at the end of the block and fill in between with zeroes.

If you are longer than that, then it all spills over into the next block and you add a block.

If your length exactly ends up fitting in the block size, then you add a whole extra block with just the padding bit and length and a bunch of zeroes.

The hash that claude spit out missed that last case, so creating a hard to find bug, where in one out of 512 bit sizes, the hash fails. If I had not spotted that by reviewing the code in detail, there would have been a catastrophic bug creating a security vulnerability and system failures in chips.

So read the code and fix it or be doomed.

Comment Re: Damn! (Score 1) 151

>These employees produced valuable work

Rocksmith 2014 is/was a wonderful thing. It's still on Steam and available with all the different DLCs.
Rocksmith's current version is crap subscription nonsense with greatly reduced functionality and none of the good music available in Rocksmith 2014.

Their last good output wrt Rocksmith was 12 years ago. I don't hold any hope of them returning Rocksmith to its former glory.

Comment Re:problem already solved 40 years ago (Score 1) 89

The only reason I can think of, especially with a lot of storage, is that the keyboards could be "sticky" for a person, but the monitor fixed to the desk. I'd say HP missed the mark on this one; going minimal specs and having the big stuff either with the screen or centralized would be much easier.

The keyboard could also be good. Like with mechanical keys and a satisfying thunk or thonk or click or whatever floats your boat. But I expect that it won't be that. The keyboard will be horrible.

Comment Re:Story checks out. (Score 1) 93

>The statistical methods used medical studies are relatively much simpler than in say, engineering. That's not where gotchas are. So we need robust studies, a convergence of evidence, and meta-analyses from competent centers.

I don't follow (that last line). Engineering, at least in my area uses fairly simple models because we can get lots of data and we can control confounders because silicon doesn't care the same way that human subjects do. E.G. for PUF reliability you can measure the distribution of pairwise hamming distance across thousands of chips. This is more conservative than golden value hamming distance, but you compensate for the drop in sensitivity by getting more data.

The need for meta analyses in medicine comes about because of the large amount of underpowered studies in medicine and nutrition. The use of statistics in the source studies is often, well creative. The metas read like the statistical clean up crew. It feels like larger studies (costing more, I know) would lead to simpler statistics - but that's a guess.

Definitely I've come to 'trust' some researchers to do the research in a way that you know the claims match the data, because they've been consistent in doing that. Many others I just ignore for the opposite reason. Medicine has had its research problems, but nutrition research is where the real shit show has been going on for decades.

Comment Nonsense (Score 1) 93

I'm involved in two companies after leaving Intel.
Everyone works remotely. There are no office costs to pay. We meet online.

If you're starting a company today and you want to be free to employ people for their skills rather than their location, this is the way to do it. Subscribe to one of the many online conferencing services and get to work.

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