When I worked on neural networks, I was taught David Rumelhart.
Readit Newsaaroninsf commented on Who Invented Backpropagation? people.idsia.ch/~juergen/... · Posted by u/nothrowaways
aaroninsf commented on ADHD drug treatment and risk of negative events and outcomes bmj.com/content/390/bmj-2... · Posted by u/bookofjoe
The irony about getting treatment for ADHD is that medical providers make it very hard to get the proper medication and treatment. People with ADHD are horrible at following through and handle rejection poorly. So the worse the ADHD is, the less likely somebody will be able to actually get treatment for it. A lot of people suffer because doctors fear losing their license like so many did during the pain pill debacle. It's a risk for them to prescribe a stimulant, but zero risk to tell you to eff off.
As many have said in this thread, most doctors will tell you to go away or give you Welbutrin (which works poorly, if at all). I feel for your struggle.
This is exactly me.
Exactly.
I got gate-kept with a massive ten page plus questionaire to fill out. Got half way through the laborious free form text responses. Came back the next day and none of my work was saved.
Gave up. Haven't ever gotten back. Because...
Worst reported.
Serious question: who is producing reliable numbers now? The Trump administration is actively suppressing federal reporting and openly threatening to cease collecting and reporting data,
and this is absolutely signaling to sycophants and supporters that they should falsify or withhold unflattering data.
This is a truly terrible timeline.
aaroninsf commented on Simulating and Visualising the Central Limit Theorem blog.foletta.net/post/202... · Posted by u/gjf
Bravo
aaroninsf commented on Why LLMs can't really build software zed.dev/blog/why-llms-can... · Posted by u/srid
The first cars broke down all the time. They had a limited range. There wasn't a vast supply of parts for them. There wasn't a vast industry of experts who could work on them. There wasn't a vast network of fuel stations to provide energy for them. The horse was a proven method.
What an LLM cannot do today is almost irrelevant in the tide of change upon the industry. The fact is, with improvements, it doesn't mean an LLM cannot do it tomorrow.
My preferred formulation is Ximm's Law,
"Every critique of AI assumes to some degree that contemporary implementations will not, or cannot, be improved upon.
Lemma: any statement about AI which uses the word "never" to preclude some feature from future realization is false.
Lemma: contemporary implementations have almost always already been improved upon, but are unevenly distributed."
I tried the two US presidents having the same parents one, and while it understood the intent, it got caught up in being adamant that Joe Biden won the election in 2024 and anything I do to try and tell it otherwise is dismissed as being false and expresses quite definitely that I need to do proper research with legitimate sources.
Have we considered the possibility that maybe it knows something we don't.
Agree with the critique,
but believe that every such critique points the way to improved AI.
It's pretty easy to imagine any number of ways of incorporating this concern directly, especially in any reasoning chain approach.
Personally I'd be fond of an eventual Society of Minds where the text put out for non-chatty reasons,
represents the collaborative adversarial relationship between various roles, each itself reflexive, including an "editor" and a "product manager," who force intent and clarity... maybe through iteration...
With the latest Microsoft Word, if you open a PDF that is a scanned image of a document and convert it to Word format, it does a pretty decent job of not only OCR (optical character recognition) but also picking matching fonts for various sections.
I just tested this with my internet connection disabled and it still worked. Since it's doing local processing, I suspect it uses traditional OCR algorithms rather than LLMs.
As the article concludes, LLMs aren't magic, they're just one useful tool to include in your toolbox.
It's pretty easy to imagine an evolved mess of an open ad hoc but broadly adopted ecosystem where LLM are surrounded by a bewildering array of Node-like domain-specific extensions.
Security concerns aside (...) that sounds pretty useful.
aaroninsf commented on Making Libcurl Work in WebAssembly jeroen.github.io/notes/we... · Posted by u/tambourine_man
One advantage over using fetch is that the WebAssembly approach seems to bypass CORS
> If you inspect the devtools network tab of your browser, you see that everything happens over a single WebSocket to wss://ws.r-universe.dev. The browser is not making the HTTP requests, in fact this would not even be possible because we download the files from a host that does not enable CORS.
That's... interesting!
Is this attack really just "inject obfuscated text into the image... and hope some system interprets this as a prompt"...?