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October 24

What payment processors integrate with Visanet wallet other than Stripe and authezritone.net?

What payment processors integrate with Visanet wallet other than Stripe and authezritone.net? 156.202.43.34 (talk) 22:00, 24 October 2024 (UTC)

AI wording help needed

I need help wording an AI question. 'Since the Gaza war and ETF hype climbs of Oct/2023; excluding factors such as whales moving/selling coin, interest rate hype volatility, rocket attack volatility, election volatility, carry trade volatility, etc. Do the bulls or bears make more profit during normal New York trading days?' Music Air BB (talk) 23:19, 24 October 2024 (UTC)

The following is the answer with close to that wording:

"Excluding extreme factors such as whale movements, geopolitical crises, interest rate changes, or volatility caused by events like elections or attacks, both bulls and bears can find opportunities in Bitcoin trading on typical New York trading days. However, the profit outcomes can depend on market conditions and strategy.

-Bulls generally profit during uptrends, where Bitcoin's price increases over time. In normal trading conditions without large external shocks, Bitcoin tends to see periods of gradual price increases driven by institutional demand, positive news around adoption, and accumulation phases by long-term holders. Historically, Bitcoin has been in an overall bullish trend, with traders profiting from buying dips and holding during these rises.

-Bears profit during price corrections or downtrends, often shorting the asset or benefiting from market panic. Even on normal trading days, Bitcoin experiences regular volatility (its intraday movements can be 2-5%), and bears can capitalize on these corrections or local downtrends. Bears might fare better during market uncertainty or technical breakdowns where resistance levels are tested and fail.

-Since the Gaza war and ETF hype in late 2023, Bitcoin has experienced surges in volatility, but during "normal" trading conditions, bulls tend to profit more in long-term trends. However, short-term corrections or consolidation periods may provide bears with short-term opportunities. The daily volatility, even in relatively calm conditions, allows for both bullish and bearish trades to be profitable based on strategies like swing trading or day trading.

-The key takeaway is that both bulls and bears can profit depending on the timeframe and market conditions, though historically, the market tends to trend bullish long term due to increasing adoption, institutional interest, and the overall bullish bias of Bitcoin over the years."Music Air BB (talk) 00:44, 25 October 2024 (UTC)

You tell us you need help, but what is your question?  --Lambiam 08:15, 25 October 2024 (UTC)

I am just wondering if that is the best wording. I have also been asking for prices at different market hours etc. She says that most Fridays, the biggest dips are after NYC closes about 4pm. Many of us in a BTC IRC are trying to profit better. We are still wondering why the dive caused by the DOJ on July 29-30 hasn't been addressed by mainstream media. If I were American, I would be spamming emails of every politician demanding transparency. Music Air BB (talk) 14:05, 25 October 2024 (UTC)

Please be aware that generative AI chatbots make up responses to factual questions that sound plausible but generally bear no relationship to reality. Only when an issue has been described multiple times in a sufficient number of sources can you expect a response to conform to the consensus of experts. The correct answer may be obvious from generally available facts, but if the obvious conclusion is not stated as such in the sources but requires some inference, current AI programs are not up to the task.  --Lambiam 19:43, 26 October 2024 (UTC)

I uploaded an image with most of the big dives labelled with causes. The price always seems to recover except for the DOJ fail on July 29. I think the bears make the dips compound and this creates cascading margin calls. I learned to load up on capital to avoid margin calls. The bears and bulls should have learned from the Oct 16/23 rumour spike that caused over $100 million in margin calls (long and short), in less than one hour. This shows that bulls and bears can both make money, and lose it. I should re-word it to 'which should be more cautious with expected events that can affect the price of bitcoin?' or 'which upcoming events are expected to affect the price and which direction?'. The US election is a pump and dump, but many may not expect a Dec 10 pump and dump when Microsoft shareholders vote on buying shedloads of coin. Music Air BB (talk) 21:28, 26 October 2024 (UTC) File:Trump DOJ BTC chart2024 Q3Q4.jpg

Given the current state of chatbot technology, it is entirely possible to refine a question until you get exactly the 'answer' you are looking for, regardless of whether this answer has any connection with reality. The 'best wording' thus entirely depends on what you are trying to achieve. Personally, I wouldn't consider current AI to have any merit with regard to predicting future bitcoin prices, beyond its utility as a means to lose money as quickly as possible. AndyTheGrump (talk) 21:43, 26 October 2024 (UTC)

The exact answer we want is the the most accurate one. We can adjust the question weekly, daily, and even hourly. Through backtesting we can refine to the best questions to ask. Does Iran have enough rockets left to create FUD, are any doom beak-offs trying to sell books this week. We should ask all the billion dollar AI companies to put up money for a contest. Best question and most accurate answers for bitcoin price for the next day/week/hour. We could also have an AI notifier that continuously spews 'Buy now! or Sell now!' Many think AI will not profit for at least 2 years. By then they will need to sell subscriptions for at least $10 a month. The best AI will get the best income, and then Amazon will buy it; and offer it free on Prime. The WMF has many worthy contests and should create one for 'AI question of the day' The judges will be AI companies that have to pay each winner $1,000 for each daily contest. My newest point is AI can help, but ask the right question.Music Air BB (talk) 22:44, 26 October 2024 (UTC)

How can you know that the question you are asking is the right question? I think you are deluded, at least when it comes to the present state of the art of publicly accessible AI programs. They do not analyze the data, but only regularities in textual patterns.  --Lambiam 08:02, 27 October 2024 (UTC)

Through backtesting we can refine to the best questions to ask.Music Air BB (talk) 09:18, 27 October 2024 (UTC)

Then do so. You have asked a question (of sorts). It has been responded to. This is not a forum for speculation about the predictive powers of AI. AndyTheGrump (talk) 13:47, 27 October 2024 (UTC)

Just noting that the OP is a sock and has been blocked along with other sockpuppets. Liz ^{Read! Talk!} 07:53, 31 October 2024 (UTC)

October 29

Late '90s/early 2000s MIDI generator?

Hello, I'm sure I've asked this before, at least once and likely twice or more, several years ago, but I've lost track of the answer in the interim so I'm asking again.

I'm looking for a procedural MIDI generation software that existed probably by the year 2000. I do not remember what the name was; it was something similar to, but not, 'DirectMusic Composer'. It was relatively limited, but easy to use. When using it, you could pick from a selection of styles; for each style, you could select from a list of instrument sets, and a list of 'moods' that were available for that style, and you could move the instruments around on a 2D square to make them quieter, louder, or more towards the left or right side; you could set the song length, and enable or disable intro and outtro; and you could export the results to MIDI.

The program was used to create some part of the music for the turn-of-the-millennium MMO "Graal Online"; consequently, examples of what the MIDI music output could sound like can be found here (played with the default Windows soundfont) and in this playlist (played with a different soundfont).

Can you help me figure out what this program was, please?

2600:6C55:4A00:A18:A1E5:7EDB:844:C2C4 (talk) 23:49, 29 October 2024 (UTC)

Found it. Microsoft Music Producer. Thank you! 2600:6C55:4A00:A18:A1E5:7EDB:844:C2C4 (talk) 00:05, 30 October 2024 (UTC)

October 31

Unsafe connection

How comes I get an unsafe connection message for an https:// site? The address bar shows https://www.--.--.--. But the on-screen message is The connection has timed out / An error occurred during a connection to www.---.--.--. The strange thing is that the address bar says it's a secure site, but the error message doesn't (and nor does Firefox's site information). Thoughts? SerialNumber54129 16:38, 31 October 2024 (UTC)

The error message does not specify the communication protocol. This does not imply the protocol was less secure.  --Lambiam 20:56, 31 October 2024 (UTC)

November 1

360 street view images

Are there any cars with cameras that are built-in in a way such that you can extract 360 street view images from them? Like Google street view, but without any added parts. ―Panamitsu (talk) 07:00, 1 November 2024 (UTC)

Most likely not. Tesla is an example. It is covered in cameras for full view, but the cameras are 720p, which is too low quality to get usable images as the vehicle speeds down the road. There isn't much reason for them to have better cameras. So, why would any other vehicle have high quality cameras all around? 68.187.174.155 (talk) 12:35, 1 November 2024 (UTC)

Formula One and other racing cars often have multiple cameras, used for both TV broadcast views and for monitoring body parts at speed; some are mandatory and some optional. It may be that a particular one could have sufficient that a computer could reconstruct a 360° view (though this would not be routinely done). However, this is a very special case doubtless outside your scope of enquiry. {The poster formerly known as 87.81.230.195} 94.6.86.81 (talk) 13:20, 1 November 2024 (UTC)

November 2

Please Simplify - What is Answer Engine Optimization (AEO)?

Please help me to list down the resourses from where I can learn more on What is Answer Engine Optimization (AEO)? be it a course or from any blog - Thanks in Advance MPBhopal (talk) 11:11, 2 November 2024 (UTC)

@MPBhopal Maybe the same as query optimization? Shantavira|^{feed me} 16:32, 2 November 2024 (UTC)

The term Answer engine redirects to our article Question answering, which needs to be updated. This page about the Brave browser's answer engine might make a good source.

An answer engine is a system that tries to answer a question, rather than point to websites about the question. Thanks to the proliferation and quality of large language models (LLMs), search-integrated answer engines are now a possibility at scale. In fact, several companies that operate search engines have released similar systems (including Bing Copilot and Google Gemini).

Crucially, these LLM-type answer engines rely on Retrieval-augmented generation:

The secret ingredient of an answer engine is not the LLM that powers it [...] an effective answer engine requires both a model and access to a search engine.

So Answer Engine Optimization is a branch of Search Engine Optimization. Here "optimization" is used in the sense of making things worse for everybody. It is an attempt to promote websites - or perhaps product names - to bias search engine results and the answers provided by an LLM that has accessed the search engine, and summarized the sites it found, on behalf of a user. This comment from a Hacker News thread about ChatGPT Search gives a clue about the details of these shenanigans:

> Why would anyone ever publish stuff on the web for free unless it was just a hobby? So that ChatGPT mentions you, not your competitor, in the answer to the user. I have seen multiple SEO agencies already advertise that.

It's worth noting that one reason for the popularity of LLMs as a replacement for direct web searching is that they are currently sidestepping SEO manipulation. From another comment on that thread:

Third search (company name) got me an ENTIRE PAGE of ads and SEO optimized pages before the actual link to the actual product.

So this AEO thing is the latest development in the arms race between those seeking to enable product promoters and those trying to provide unbiased search results. (Within a large search company like Google or Bing, these may merely be different departments.) The objective is to defeat the use of LLMs to improve search results.

You apparently want a how-to guide. Such a guide would be hot property at the moment, I expect. That is to say, I would be surprised if anyone skilled in making money from the promotion of websites was willing to give away their secret methods for doing this in the very much hyped current context of LLMs, without also seeking money for sharing these putative secrets.

Edit: of course, that money could come from Google ads. Since manipulating search rankings is their business, it will presumably be easy to find the sites of those most competent at it, yet difficult to find the most useful guidance.  Card Zero  (talk) 16:57, 2 November 2024 (UTC)

November 4

floating-point "accuracy"

It's frequently stated that computer floating point is "inherently inaccurate", because of things like the way the C code

float f = 1. / 10.;
printf("%.15f\n", f);

tends to print 0.100000001490116.

Now, I know full well why it prints 0.100000001490116, since the decimal fraction 0.1 isn't representable in binary. That's not the question.

My question concerns those words "inherently inaccurate", which I've come to believe are, well, inaccurate. I believe that computer floating point is as accurate as the numbers you feed into it and the algorithms you use on them, and that it is also extremely precise (120 parts per billion for single precision, 220 parts per quintillion for double precision.) So I would say that floating point is not inaccurate, although it is indeed "inherently imprecise", although that's obviously no surprise, since its precision is inherently finite (24 bits for single precision, 53 bits for double, both assuming IEEE 754).

The other thing about binary floating point is that since it's done in base 2, its imprecisions show up differently than they would in base 10, which is what leads to the 0.100000001490116 anomaly I started this question with. (Me, I would say that those extra nonzero digits …1490116 are neither "inaccurate" nor "imprecise"; they're basically just false precision, since they're beyond the precision limit of float32.)

But I can see from our page on accuracy and precision that there are a number of subtly different definitions of these terms, so perhaps saying that floating point is "inherently inaccurate" isn't as wrong as I've been thinking.

So my question is just, what do other people think? Am I missing something? Is saying "floating point is inherently inaccurate" an informal but inaccurate approximation, or is it meaningful? —scs (talk) 13:50, 4 November 2024 (UTC)

Wiktionary: accurate says "accurate ... Telling the truth or giving a true result; exact", but float is not exact so it is not accurate in that sense. 213.126.69.28 (talk) 14:10, 4 November 2024 (UTC)

See also Floating-point arithmetic § Accuracy problems. What is not mentioned, is the problem that little inaccuracies can accumulate. For example, consider this code:

x = 0.1
for i in range(62):
  x = 4*x*(1-x)

The true mathematical value computed, rounded to 15 decimals, is 0.256412535470218, but the value computed using IEEE floating point arithmetic will come out as 0.988021660873313.  --Lambiam 16:06, 4 November 2024 (UTC)

@Lambiam: Cute example. (Does it have a name?) Lately I've been impressed at how often cascading precision loss isn't a problem, although it's certainly one of the things you always have to watch out for, as here. (It's why I said "as accurate as... the algorithms you use on them".) —scs (talk) 14:28, 5 November 2024 (UTC)

See Logistic map § Solution when r = 4.  --Lambiam 20:01, 5 November 2024 (UTC)

@Lambiam: Aha: An "archetypal example of complex, chaotic behaviour". So we shouldn't be too surprised it's particularly sensitive to slight computational differences along the way... :-) —scs (talk) 22:48, 5 November 2024 (UTC)

The basic floating point operations are as accurate as it possible for them to be and the specification normally talks about precision which measures the unavoidable deviation from being completely accurate. But no-one is going to carp about calling it inaccurate! NadVolum (talk) 16:57, 4 November 2024 (UTC)

@NadVolum: I am here to prove you wrong, because that is exactly what I am carping about! :-) —scs (talk) 17:31, 4 November 2024 (UTC)

There are two issues with floating point numbers that are both wrapped up in "they are not accurate." I personally never say that. What I say is that the same number can be stored in memory different ways. For example, a human can tell you that 10e4 and 100e3 are the same number. But, to a computer, they are different. It doesn't parse out the value and computer 100000 and 100000. It compares exactly what it sees. 10e4 and 100e3 are not the same. Of course, computers use binary, not decimal, but that isn't the point. The point is that you have the same value being stored in different ways. You, as the human, don't control it. As you do operations on a value in memory, the value updates and the exact way it is stored can change. Separately, floating point numbers do tend to drift at the very end. So, 3.000000... can become 2.99999999... or 3.00000000....0001. That is not "wildy" inaccurate. But, 2.99999... is not the same value as 3.00000. In the end, why do we care? It comes down to programming. If you have two floating point variables x and y and you want to know if they are the same value, you can't simply compare x==y and hope to get the right answer. What if x is 3.00000.... and y is 2.99999...? Instead, you do something like abs(x-y)<0.000000001. Then, if there is a little drift or if the two numbers are the same value but stored slightly different, you get the correct answer. This came to a head way back in the 80s when there was a flame war about making the early c++ compiler automatically convert x==y to abs(x-y)<0.0000000000000000001. But, what I believe you are arguing is that memory storage should be fixed instead of the programming so the numbers are always stored in the exact same format and there is never ever any drift of any kind. That would be more difficult in my opinion. 17:24, 5 November 2024 (UTC)

That's not what I was saying, but thanks for your reply. [P.S. 10e4 and 100e3 are the same number, in any normalized floating-point format; they're both stored as 1.52587890625 × 2¹⁶, or more to the point, in binary as 1.10000110101₂ × 2¹⁶.] [P.P.S. Testing fabs(x - y) < some_small_number is not a very good way of doing it, but that wasn't the question, either.] —scs (talk) 20:12, 5 November 2024 (UTC)

A fundamental problem is that numbers represented in numerical form, whether on paper or in a computer, are rational numbers. In print, we typically have numbers of the form $m\cdot 10^{n},$ where $m$ and $n$ are whole numbers. In computers, $m\cdot 2^{n}$ is more common. However, most numbers are not rational. There is no way to compute the exact value of, for example, ${\frac {\ln 24591257752}{\pi {\sqrt {48}}}}.$ There is no known algorithm that will decide in general whether the mathematical value of such an expression with transcendental functions is itself transcendental, so at a branch asking whether this value is equal to $1$ we have no better recourse than computing this with limited accuracy and making a decision that may be incorrect.

BTW, "comparison tolerance" was a feature of APL.^[1] The "fuzz", as it was colloquially called, was not a fixed constant but was a system variable with the strange name ⎕ct to which a user could assign a value. The comparison was more complicated than just the absolute difference; it was relative to the larger absolute value of the two comparands (if not exactly equal as rational numbers).  --Lambiam 21:37, 5 November 2024 (UTC)

I actually don't agree with the claim that numbers represented in numerical form...are rational numbers. If you're talking about the main use for them, namely representing physical quantities, they aren't rational numbers, not conceptually anyway. Conceptually they're "fuzzy real numbers". They don't represent any exact value, rational or otherwise, but rather a position along the real line known with some uncertainty. --Trovatore (talk) 22:36, 5 November 2024 (UTC)

November 5

Monitor Is Dark

I have a Dell desktop computer running Windows 11 with a full-screen monitor. Early this afternoon, it was displaying the screen to prompt me to enter my passnumber, which I entered, and then the screen went dark. The computer itself is still functioning. I have shared some of its folders, and I can see them as shared drives on my laptop computer. My question is what I should try short of replacing the monitor. I haven't priced monitors yet, but I know that they cost between $100 and $200, and I am willing to spend that if necessary, but would of course rather spend on something else. I tried unplugging the monitor from the UPS and plugging it back in. Is there anything that can be inferred from the fact that the monitor turned off while it was logging me on? Is there anything in particular that I should try? Robert McClenon (talk) 00:42, 5 November 2024 (UTC)

Please disregard this question. I disconnected the monitor power cord from both the monitor and the power supply. Then I plugged it back into a different socket of the power supply, and back into the monitor, and the display is fine again. I don't know whether a connection had been loose or whether the socket in the power supply failed, more likely the former, but I will just leave it alone now that it is working. Robert McClenon (talk) 01:14, 5 November 2024 (UTC)

I am running Windows 11 and the same thing happened to me a few hours ago. I have three monitors. All went black. The computer was still on and running, but no display except for the mouse. It took me a bit to realize that as I moved the mouse, a gray pixel moved around the screens. I forced a shutdown on the computer by long-holding the power button, turned it back on, and all three monitors started working again. 12.116.29.106 (talk) 17:15, 5 November 2024 (UTC)