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VMG
searching PlanetScale…
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13 ms
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181.
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by
VMG
3y ago
You are wrong but there is no reason to downvote you. The idea might work in the future.
182.
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VMG
3y ago
(1) obviously not (2) they could just say they found it during some routine dependency review or whatever
183.
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VMG
3y ago
FTA: * What does missing data look like? The empty string, NaN, 0, 1/1-1970, null, nil, NULL, \0? * What date format will you need to parse? What does 5/5/12 mean? * How multiline data has been written? Does it use quotation
184.
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VMG
3y ago
it doesn't seem like plant food causes Alzheimer though
185.
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by
VMG
3y ago
is this better? https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517714
186.
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VMG
3y ago
> The matched subjects who ate meat (including poultry and fish) were more than twice as likely to become demented as their vegetarian counterparts (relative risk 2.18, p = 0.065) and the discrepancy was further widened (relative risk 2.
187.
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by
VMG
3y ago
> Generating a screen takes a couple of seconds on hardware as it requires per-pixel processing of the entire 400x240 screen = 96,000 pixels This doesn't sound right - it should take a few milliseconds to fill a full-HD screen on an
188.
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VMG
3y ago
the contrast of the links against the light background is pretty poor
189.
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VMG
3y ago
https://archive.is/CbAXN for those that get a cert error
190.
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VMG
3y ago
I've sometimes wondered if Hieronymus Bosch was a surrealist. ChatGPT says he wasn't because the movement hasn't "officially started" then
191.
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VMG
3y ago
Programmers are more productive than years ago and there are many more of them
192.
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VMG
3y ago
a link an ISBL introduction would be nice I could only find this https://www.dcs.warwick.ac.uk/people/academic/Meurig.Beynon/...
193.
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VMG
3y ago
My neighborhood had a similar issue a while ago (suspected fireworks). I imagined a mobile phone app solution based with high precision timing from GPS signal. Maybe there is a market for it...
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VMG
3y ago
When I compare my phone with a PDP11 it seems obvious that I can pick all three and then some
195.
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by
VMG
3y ago
is there a Japanese translation for Vorzeichenfehler?
196.
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VMG
3y ago
Is that true though? If I have say a box with mixed red and blue bricks and I sort them by color, both sides are "clean" now.
197.
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VMG
3y ago
Article is a classic case of https://dsimanek.vialattea.net/pseudo/fibonacc.htm
198.
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by
VMG
3y ago
Fascinating. I wish I could run them in a browser VM - it would probably be pretty fast as well.
199.
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VMG
3y ago
or feed it to ChatGPT! by the way, ChatGPT 4 is pretty good at scrambling as well. Your comment scrambles to > tI's ryteppt darh ot cuaslmbern sa a amunh. l'lI eavel uyo ot dera eht erpap fi uoy nwat ot ese eht rliongia xett.
200.
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VMG
3y ago
Of course the contrarian will only defend the "fringe voices" up to the point that he agrees with. Once it goes into 5G-activated magnetic microchip implants, the contrarian will defer to experts without the quotes.
201.
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VMG
3y ago
big name and big speed - I distinctly remember how slow "mercurial" was when git started dominating
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VMG
3y ago
mapping coordinates via projection matrices pretty common tbh
203.
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VMG
3y ago
write a base-n encoder and use 50 as a parameter
204.
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VMG
3y ago
Maybe we should run an experiment and cut Korea into two parts, try communism in one part and see how it goes
205.
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VMG
3y ago
> But of course, this will cause execution to continue as though the I/O was successful, which might be exactly the wrong thing to do! Almost always is the wrong thing to do when I encounter this antipattern. GPT-4 beats these resea
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VMG
3y ago
> It's relatively easy to verify whether a specific number is prime or not Only the "not" part is easy
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VMG
3y ago
Please don't blow the lead smoke over to your neighbors house though
208.
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VMG
3y ago
but don't forget that `typeof null === 'object'` :)
209.
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VMG
3y ago
ChatGPT does a nice job of this. > [Prompt]: Let's create a reverse dictionary, an obscurantorium: look up a normal word to turn it into caliginous locution. > [ChatGPT]: Absolutely, that sounds like a fascinating endeavor! Let&#
210.
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VMG
3y ago
Wow, somehow I have never heard about this before. In one sense, this makes LLMs even more impressive - the time it takes to consume a large amount of input seems very small.
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