The issue with sonnet 3.5 is, in my limited testing, is that even with explicit, specific, and direct prompting, it can’t perform to anything near human ability, and will often make very stupid mistakes. I developed a program which essentially lets an AI program, rewrite, and test a game, but sonnet will consistently take lazy routes, use incorrect syntax, and repeatedly call the same function over and over again for no reason. If you can program the game yourself, it’s a quick way to prototype, but unless you know how to properly format JSON and fix strange artefacts, it’s just not there yet.

One theory about nightmares is that they serve as exposure therapy for stressors. If your nightmares are too extreme, maybe you could set aside during the day to enter a calmer environment and try to review them without getting overwhelmed. It might desensitize you a little bit and make them less severe.

I haven’t had severe nightmares since I was a preteen, but when I did, they tended to be pretty stressful (being kidnapped, being abandoned, my friends commiting suicide in front of me, etc). I’m not sure exactly why they stopped, but I eventually ‘burnt out’, and I just stopped really caring about them.

Can’t say I turned out great, but I can say I don’t have nightmares anymore.

Everything can be done in constant time, at least during runtime, with a sufficiently large look-up table. It’s easy! If you want to simulate the universe exactly, you just need a table with nxm entries, where n is the number of plank volumes in the universe, and m is the number of quantum fields. Then, you just need to compute all of them at compile time, and you have O(1) time complexity during runtime.

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There are bindings in java and c++, but python is the industry standard for AI. The libraries for machine learning are actually written in c++, but use python language bindings. Python doesn’t tend to slow things down since machine learning is gpu-bound anyway. There are also library specific programming languages which urges the user to make pythonic code that can be compiled into c++.

I completely agree that it’s a stupid way of doing things, but it is how openai reduced the vocab size of gpt-2 & gpt-3. As far as I know–I have only read the comments in the source code– the conversion is done as a preprocessing step. Here’s the code to gpt-2: https://github.com/openai/gpt-2/blob/master/src/encoder.py I did apparently make a mistake, as the vocab reduction is done through a lut instead of a simple mod.

Can’t find the exact source–I’m on mobile right now–but the code for the gpt-2 encoder uses a utf-8 to unicode look up table to shrink the vocab size. https://github.com/openai/gpt-2/blob/master/src/encoder.py

This might be happening because of the ‘elegant’ (incredibly hacky) way openai encodes multiple languages into their models. Instead of using all character sets, they use a modulo operator on each character, to make all Unicode characters represented by a small range of values. On the back end, it somehow detects which language is being spoken, and uses that character set for the response. Seeing as the last line seems to be the same mathematical expression as what you asked, my guess is that your equation just happened to perfectly match some sentence that would make sense in the weird language.

I don’t know about that guy, but I used to have a speech impediment that meant I couldn’t pronounce the letter R. I went to several speech therapists, so I started to annunciate every other letter, but that made people think I had a British accent. Anyway, I eventually learned how to say R, so now I have a speech impediment that makes me sound like a British person doing a fake American accent.

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Am I the only one who finds these comics smug?

If C++/C were real languages for real programming they’d enforce unreadability in the compiler.

No sane language designer would say “It is imperative that you write the most unreadable code possible” then write a compiler that says “oh your code doesn’t triple dereference pointers? lol lmao that rocks”

They have played you all for fools.

Rust is the WORST programming “language.”

1. it is against the natural order for a PROGRAM to tell the PROGRAMMER how to fix an error. Fixes should ONLY come from PROPHETIC DREAMS.
2. obfuscation should be done for FUN by PROGRAMMERS to SCARE python programmers. It should NOT be a MANDATORY feature of a language.
3. Memory leaks are a GIFT given to us by GOD. Programmers will ALWAYS PRAY TO GOD for SOLUTIONS as long as there are MEMORY LEAKS.

I’m not talking about little tiny robots with batteries and computers, I’m talking about precisely formed, microscopic and deformable chunks of metal. That’s why I brought up proteins- they do not carry any information themselves, and can sometimes form duplicates of themselves, such as in the case of prions.

I don’t think this is necessarily true. The reason DNA is so affected by radiation is because it’s malleable. It’s built out of chemical building blocks that fit like Lego. Gray goo would likely be similar to extremely complex proteins which replicate like a physical version of a quine.

iirc, this board isn’t nearly as interesting as it seems. You can’t actually do any multiprocessing, because only one CPU can be activated at a time. So you can’t actually leverage the two CPUs to do anything that each CPU couldn’t do on it’s own.

Recently, I’ve just given up trying to use cuda for machine learning. Instead, I’ve been using (relatively) cpu intensive activation functions & architecture to make up the difference. It hasn’t worked, but I can at least consistently inch forward.

I’m not sure I understand your argument. Are you saying that the emulated processor executes instructions while the SoC doesn’t? Every instruction that goes to the x86 is broken down into several SoC instructions, which the SoC executes in order to emulate what an x86 would do. Saying that the emulated x86 is booting/running Linux, but the SoC is not is like saying that computers can’t run java code, they can only run jvm.

I respectfully disagree. The turning machine is not doing any set-up before the emulated CPU begins execution, and all of the actual BIOS is done by the emulated CPU.

Emulated processors can do the same things as physical processors, including booting from disk.