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nickledave

237 karma · joined July 8, 2015

https://github.com/NickleDave www.nicholdav.info @nicholdav
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nickledave··on Cursor IDE support hallucinates lockout policy, causes user cancellations
Yes

https://link.springer.com/article/10.1007/s10676-024-09775-5

> # ChatGPT is bullshit

> Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems.

nickledave··on One of the Most Egregious Ripoffs in the History of Science – The Race to DNA
These replies make it clear that y'all really want to make it okay for shitty men to take credit for other people's work. You must all work on generative AI.

https://www.kcl.ac.uk/the-story-behind-photograph-51

tl;dr: Franklin's mastery of X-ray crystallography made the discovery of the structure of DNA possible; if Crick and Watson were honest, they would have made her a co-author and given her credit

> The enigmatically named “Photograph 51” (Fig.1) is an X-ray diffraction image of DNA taken by Rosalind Franklin, together with her PhD student Raymond Gosling, at King’s College London in May 1952. In fact, the camera was set up to take the photograph on Friday 2 May and it was developed on Tuesday 6 May: as Franklin reported in her lab notebook, the DNA was exposed to X-rays for a total of 62 hours to take Photograph 51.

    # ....
> Such a pattern of spots is highly suggestive of a helical structure, and so when James Watson saw Photograph 51 in January 1953, it spurred both him and Francis Crick to attempt to build a model. The photograph was shown to him by Wilkins, who had a copy because he was soon to take over the work; Franklin was shortly to leave King’s for Birkbeck College. However, Franklin was unaware that the photograph had been shown to Watson, and Wilkins had assumed that Watson had seen earlier “helix cross” diffraction patterns taken by Franklin.

> But Photograph 51 was so much clearer than any of the earlier images. Moreover, it contained further information: the vertical separation between the spots of the helix cross is one tenth of the distance from the centre of the pattern to the large, diffuse diffraction “spots” at the top and bottom of Photograph 51, which arise from the regular stacking of the bases in the middle of the double helix. From this one can conclude that there are ten stacked bases per turn of helix.

> Franklin had always resisted model building, believing that it should be possible to calculate the structure from the diffraction patterns, particularly using her A-form photographs. But this approach proved unfruitful. Unaware that Watson and Crick were building their model, Franklin returned to Photograph 51 in early 1953 and in March drafted a manuscript proposing that a “helical structure [was] highly probable”, most likely a double helix with ten bases per turn with the bases on the inside and phosphate groups on the outside.

> She even deduced from the absence of the fourth spot in each arm of the helix cross (counting outwards from the centre of the pattern, Fig.1), that the two chains would be separated by 3/8 of the pitch of the double helix, as indeed they are (Fig.2). She was so close to the answer, but only days later, Watson and Crick announced their model of the double helix.

> And thus, seventy years ago, when Franklin and Gosling’s paper appeared alongside that by Watson and Crick in Nature, her work, and in particular Photograph 51, appeared merely to confirm their model, whereas in fact it had played a crucial role in its construction.

nickledave··on They Might Be Giants Flood EPK Promo (1990) [video]
Should be the top post on here IMHO. These guys were the first social media influencers going viral (posting demos of songs on an answering machine): https://www.youtube.com/watch?v=S5GFVP7MMeg&list=PLtTX1yXkqz...

edit: say something relevant to HN

nickledave··on Ask HN: Recommend resources that helped your game dev journey?
Since no one mentioned it yet AFAICT I'll shout out CS50's Intro to Game Dev that uses Love2d (Lua framework): https://cs50.harvard.edu/games/2018/notes/0/

I also really like pico8 for initial dev with lots of rapid feedback. Lazy Devs Academy on YouTube has lots of good Pico8 tutorials, like this intro: https://www.youtube.com/playlist?list=PLea8cjCua_P3Sfq4XJqNV... Since pico8 source is often available you can look at it for inspiration, see for example Celeste: https://www.lexaloffle.com/bbs/?tid=2145

Along the same lines suggest the Spelunky book from Derek Yu where he walks through his whole process (and all these Boss Fight Books are great for that) going from GameMaker Studio prototype to finished product: https://bossfightbooks.com/products/spelunky-by-derek-yu

Last but not least, Itch is doing a California Fire Relief Bundle right now https://itch.io/b/2863/california-fire-relief-bundle that includes good gamedev books from Chris DeLeon. See his "Why are you making your own games? " quiz, https://form.jotform.com/233546996151162/

edit: add link to DeLeon to explain

nickledave··on Ask HN: Has anyone worked at the US National Labs before?
Since nobody's said it yet: if you want to talk with people working in nat'l labs, a good place would be the US Research Software Engineer association.

Go to https://us-rse.org/join/ and fill out the form to get a Slack invite :)

edit: obviously all the people commenting here are really helpful but you'd get a wider range of perspectives there

nickledave··on YouTube removed a viral video of two doctors calling for an end to quarantine
Thank you, logged in to upvote this. These docs are committing basic errors.

6.6% infected has to be wrong. That just shows we're not testing enough to see the true, much lower, number. It's also biased because we're not randomly sampling--instead we're testing people that are already showing symptoms.

Then when that inflated number goes in the denominator, it makes it look like the fatality rate is much lower.

nickledave··on Using deep learning to analyze the ultrasonic vocalizations of rats
In case anyone is interested, I'm developing a Python/Tensorflow-based open source project, vak, that annotates birdsong, similar to what Deepsqueak does: https://github.com/NickleDave/vak

(DeepSqueak runs in Matlab.)

We've also developed a neural net architecture which we find gives low error across individuals and is much more lightweight than Faster-RCNN, the net that Deepsqueak uses under the hood: https://github.com/yardencsGitHub/tweetynet/

I've tried to make it so that any net (even Faster-RCNN) can be used with vak and I've built tools so it works with multiple audio and annotation formats (https://github.com/NickleDave/crowsetta).

We're finally about to submit a paper on this, thought I'd share here now case anyone is interested in contributing to the library in the future.

(edit for clarity)

nickledave··on Sci-Hub’s cache of pirated papers is so big, subscription journals are doomed
You've found watermarks in sci-hub PDFs? I hadn't noticed that but maybe I was too excited about being able to get the damn paper.

You could tweet at them with a link to a Github repo of your scripts, they are active on Twitter

nickledave··on The Paradox of the Elephant Brain
To follow up on noelwelsh's comment, you might find this review interesting: http://comparative-cognition-and-behavior-reviews.org/2009/v... It talks about how our understanding of avian brains has changed and why they can be so smart (short answer, we're not sure yet)
nickledave··on The Paradox of the Elephant Brain
Probably has to do with control of the trunk and "infrasonic vocalizations" http://www.karger.com/Article/PDF/345565 if you believe the cerebellum mainly contributes to movement. Some argue that it also contributes to "cognition", as Herculano-Houzel points out. Interesting that her group previously reported that, across evolution, brains maintain a linear relationship between number of neurons in neocortex and number of neurons in the cerebellum: https://www.ncbi.nlm.nih.gov/pubmed/20300467/. The finding that 97.5% of neurons in the elephant brain are in the cerebellum would seem to contradict the idea that brains maintain a constant neocortical/cerebellar neuron ratio. The elephant paper attributes the huge number of cerebellar neurons to sensorimotor input, i.e., probably trunk stuff: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053853/
nickledave··on The Paradox of the Elephant Brain
Herculano-Houzel has published a number of surprising findings using the novel technique she invented for counting cells in the brain. In case you're interested: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380666/
nickledave··on Moderate drinking associated with atrophy in brain related to memory, learning
Animal studies of alcoholism is not my main field of study but I'm guessing many such studies have been done, here is one example: http://onlinelibrary.wiley.com/doi/10.1111/j.1530-0277.1998....
nickledave··on Moderate drinking associated with atrophy in brain related to memory, learning
Haven't seen anyone else comment on this specific statement from the abstract: "No association was found with cross sectional cognitive performance or longitudinal changes in semantic fluency or word recall." Based on other people's comments, seems like the main finding here is that maybe the hippocampus shrinks as we get older and maybe there's an effect on lexical fluency. We already know that, even in "healthy" subjects, the brain shrinks due to aging, and I think no-one can say yet how much atrophy can take place before it impacts memory or learning.
nickledave··on Tool of Hope: A Sober Alchemy to End My Helplessness
You may have also found a way to inhibit the sarcasm detection centers in the retrosplenial amygdala
nickledave··on Tool of Hope: A Sober Alchemy to End My Helplessness
There's no good evidence that many of these supplements make it past the blood brain barrier (besides caffeine obviously). Even if you could just eat GABA, there's no reason to think it would make you calmer, since there are cells in every part of the brain that use GABA. It's like saying you can make your computer better by adding more electricity. A good scientist would not believe results with an N of 1, especially when the subject is also the experimenter and very much wants positive evidence for their hypothesis. The context from other commenters makes me even more doubtful. You might have the best of intentions but it seems like your supplements have inhibited the skeptical regions of your cortex, including the self doubt area of the inferior parietal sulcus (look it up)
nickledave··on Neuroscientists Wirelessly Control the Brain of a Scampering Lab Mouse
You are right that testing whether the gene changes how cells react can be tested in vivo, and that's how it was done originally. But the point of these studies is to figure out how certain parts of the brain work. Since the brain produces behavior, we can best understand how it works by changing brain activity and then seeing how that changes behavior. That can't be done in a dish, at least not now, even though we often use modeling whenever possible to make sure we're doing the right experiments. The goal was definitely not to control mice or make them suffer and I find it a little regrettable that the professor did not emphasize that. The fact that making neurons in motor cortex fire causes movement is proof of concept, but no neuroscientist wants to just sit around making mice just turn in circles all day. The goal here is to better understand how neurons firing produce behavior. For example if we can crack the code for movement, we can e.g. help patients better recover function after a stroke. The techniques we've had for a hundred years have not gotten us all the way to an answer on that yet. Think of it this way: do you want to debug your program with only print statements, or would you rather be able to put in a break point?
nickledave··on Distressed ravens show empathy
Hey mirimir, it's awesome to see posts from someone else that thinks birds are cool. I hadn't seen those papers before--that Weiss study looks like it's worth reading in depth.

Just wanted to say that most people who study birdsong and bird calls wouldn't describe it as a "language"--as far as we know, humans are the only animals with language, unless you believe that one guy who wrote the article about dolphins. But you're right that birdsong is a lot more like language than most other animal vocalizations; often the songs have "syntax" (like in the Weiss article you posted) where the structure follows rules. But the syntax doesn't convey meaning in the same way it does in our language. No bird has ever written a philosophy book, right? They're just communicating stuff like "this is my tree and I'm so manly I can sing in this tree for hours in the middle of the night".

Along the same lines, I think birds are pretty close to us evolutionarily speaking. You're not the first person I've heard compare them to aliens, but their brains are actually a lot like ours. Here's a grumpy blog post I wrote about it if you want to have a look: http://www.theneuroethicsblog.com/2012/09/snakes-on-brain-or...

As the article above demonstrates, along with many other behavioral studies like those you mentioned, birds behave a lot like we do. So: their brains are a lot like ours and their behaviors are a lot like ours. This is why we should study them even more, if we want to understand intelligence.

Think of it this way: you're an alien and you want to figure out how a computer works. If you could only carry out your experiments with MacBooks, it would probably take you longer than if you could also use e.g. Lenovo ThinkPads (just trying to draw an analogy, I'm not throwing shade at Mac or anything).

I hope that wasn't way too "tl;dr" but I just wanted to build a little bit on your comments.

nickledave··on The building blocks of understanding are memorization and repetition
So you don't know any people that are mathphobes? You are right that it would be nice to have some hard science to back up the author's claims. Maybe we should read her book. I'm sure it's basically "Fear and Loathing in Calculus".
nickledave··on The building blocks of understanding are memorization and repetition
+1 for storytelling. This article is pretty much my life story, and I constantly tell that story to other people, because my own painful personal experience suggests our educational system does not do a good job of delivering the same message. Maybe tucaz doesn't need to hear it. But there are a lot, a lot, of people that do. How many times have you heard someone say "I'm just not good at math" or "I'll never be able to draw" or "I have two left feet, I can't dance"? It's just because they never learned how to learn.
nickledave··on Eye test may detect Parkinson’s before symptoms appear
Ah, it's chromatin marks you need. Well I guess you could get a lot of retinal tissue from the rat model they use and try to find some. Interesting that this finding is in an animal that doesn't depend as much on vision as we do. Might be worth determining if the result holds up in e.g. a macaque model.
nickledave··on Eye test may detect Parkinson’s before symptoms appear
Hmm. In your studies can you identify retinal tissue? Guessing not since it's such a relatively small amount and might not have a clear marker like adipose/liver tissue.

Accumulating mutations could cause Parkinson's--some sort of inflammatory syndrome from altered metabolic pathways, you can probably explain it better than me--but the study in OP seems to be suggesting retinal degeneration is a symptom, right? Maybe retinal tissue could be a "canary in the coal mine" because it's more sensitive to these changes in metabolism? I'd be interested to know what you think.

nickledave··on Eye test may detect Parkinson’s before symptoms appear
The results in the research article were obtained with a rat model of Parkinson's, where Parkinsonian symptoms are induced with rotenone. Most models of Parkinson's are based on neurotoxic drugs (e.g. MPTP, first discovered to induce Parkinsonian symptoms in heroin addicts) so they're kind of the best we can do. (there's also genetic models--e.g. mice that express chronically low levels of dopamine. But basically other animals don't get Parkinson's in the wild as far as we can tell.) There's a summary of the evidence for the rotenone model in the discussion of the paper itself, and the paper is in an open access journal so you can read it should you so desire: http://actaneurocomms.biomedcentral.com/articles/10.1186/s40...

There is something of merit here if there's any reason to believe that actual Parkinson's patients show similar retinal degeneration far before they show any other symptoms. The authors don't mention any evidence for that...so I'm guessing there's not any. Either they are wildly scrambling to find some, or a cynic might suggest they looked already in humans and didn't find any, so they published this instead. A paper showing multiple lines of evidence supporting their theory in a rodent model and in a patient population would probably have been a home run that got them into a glam mag.

nickledave··on No Free Inference Lunch – Cog. Sci
By "recent issues" I mean https://news.ycombinator.com/item?id=12032269

Thought this might be interesting for people that know the No Free Lunch Theorems from classification/optimization too

nickledave··on No Free Inference Lunch – Cog. Sci
Just tweeted by Neuroskeptic; if this has implications for the recent issues with fMRI studies, I hope someone smarter than me will let me know.
nickledave··on Mormon Tycoon Wants to Build Mega-Utopia in Vermont
Knowing that someone uses Moleskine notebooks adds nothing to the story? To me, it says a lot. Writers are taught to be specific, in part because it keeps a story interesting and makes it more vivid. I'd attribute the details to that over paid product placement. But then again I'm not an "idea man" who ignores inconvenient details when they can't be reconciled with my amazing vision based on something a lunatic scribbled on an 18th century cocktail napkin
nickledave··on The Girl with the Augmented Body and a DIY Manufacturing Habit
For people unable to read all the way through the title, it does say "...and a DIY Manufacturing Habit". </sarcasm>

Seriously, her comments about how "hobbies" like DIY manufacturing and Makerspaces are seen in China were eye-opening to me and definitely worth a read.

nickledave··on fMRI software bugs could upend years of research
I'm aware that there are assumptions implicit in what the null hypothesis is. You are the one who keeps saying the authors don't even realize what those assumptions are, but you haven't pointed out anything besides what the authors said. What are the other faulty assumptions you've identified that the authors are missing? I guess you're referring to some sort of issue with power that you mentioned in your previous comment?
nickledave··on fMRI software bugs could upend years of research
@mattkrause: you beat me to it
nickledave··on fMRI software bugs could upend years of research
See mattkrause's comment below. I think you might not be understanding what they're testing. They're taking only resting state data, randomly sorting some of it into "pretend active state data" and then asking whether they get any statistically significant difference between these two groups when they shouldn't. But they do. That means the tests they used, the same tests many authors use, are giving false positives. The null hypothesis is "there will be no difference between testing state data and whatever data we get when we ask the subject to do some activity". They can "reject" that hypothesis using only randomly shuffled resting state data, so there's something wrong with the stats packages themselves
nickledave··on Spiegelman's Monster
Heh, we must have been posting at the same time. Good point that the RNA monster doesn't do much; even some bacteria can "smell" chemicals and move along a gradient, a "behavior" that makes us think of them as alive. I wonder if you could get behavior like that with just rna
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