amdivia

maybe but as a paper writer, the quality of reviews and reviewers have gone down because of LLM-as-a-reviewer too, because LLM reviews seem to regurgitate the limitations section of the paper, and are highly influenced by the way things are phrased in the paper rather than the actual substance.

but I'm hopeful that some middle ground will be found in the future

I think its 5. that it is understandable for some countries to fear and be concerned when Japan arms itself.

it's not a statement on what should be and shouldn't be, but rather attempting to provide reasons as to why China might not like this move, without resorting to claims of propaganda or the fear being illegitement

But here you are assuming Carbon atoms are conscious, we do not know if humans are only carbon atoms. Whereas, we know that LLM's are only computations (you can run them on silicon, a white board, mechanical computer, etc)

I mean it all goes back to how we define consciousness

In one definition, which contains quale, then yes, computation cannot bring about experience, and by extension consciousness (given a definition of consciousness that contains the ability to experience, (e.i a p-zombie is not conscious under that definition))

also if one is to say llms are conscious, i assume they'll also accept the fact that if someone ran inference of some model's weights on a white board, somehow that will also bring about consciousness somewhere. I find such believes hard to grasp, and more akin to magic if anything

That's... a very convoluted way of looking at the world. If he stated any other rigid thought, as, "we must exterminate all mosquitos, they are 100% not needed", would you then conclude he's antisemitic too?

The following paragraph is extremely emotional.

I think the whole industry is heading in the wrong direction. And it really frustrates me that most LLM coding agents are based on excessive delegation (or at least promoting it), which for me, is what causes the difficulty in entering the flow state. (I think the slow generation speed of SOTA frontier model labs also contributes to it, 30 seconds to generate something simple is a lot of time, but that's a different discussion)

We must kill excessive delegation. Our LLM coding tools should be built incapable of performing it.

Imagine if you have a coding agent where if you tell it "create a simple Todo app" it will fail telling you "simple Todo app is undefined", requiring to provide a more comprehensive descriptive prompt of what you want, then, this longer prompt becomes where your flow state functions, you are describing your edits and code in a more fluid way but still in text, and your focus becomes on this description/specification that you'll feed to the LLM.

(can't edit the above but for future references, this doesn't seem to be by Edward Fredkin, and I couldn't find "The intelligent machine" as the article states

Still, this is a pre-LLM era copy-pasta it seems, and the idea within it is still relevant)

The.. false positives are extremely scary (not listed as hallucinations)

A terrorist on the US saction list.. the first female airplane suicide bomber?? I was in the US a year ago and I did not bomb any planes

I think with Arabic names it's highly biased, which is kind of scary, I don't want to be bombed based on an LLM query

110+ Tok/s as another data point on the RTX 5090 (Gemma 4 31B QAT + MTP at UD-Q4_K_XL) (at peak used 27 GB of vram)

The real lovely thing was getting 300+ Tok/s (Gemma 4 26B QAT + MTP at UD-Q4_K_XL) (at peak, I think I saw vram usage reach 21 GB of vram)

I think they'll be extremely worse on their own

Predicting "America" in "The United States of ..." Is a different task from predicting the whole sentence.

So the small model is laying the blocks, and the bigger model would be cementing them in place or kicking them down. The bigger model's course correction is what keeps the smaller models predictions relatively on track

I mean,

"Give me a Todo app"

Is also different from

"Write a function that takes a string parameter (Todo) and saves it into a text file with the name <current date time (as a Unix epoch)>.txt, and if already present, append to it to the file instead"

The probability distribution for the potential output is different, and it's more limited in the second case perhaps.

Besides, even the "deterministic" systems the author is referring to, are not fully deterministic. They are "deterministic" if we ignore a certain threshold of randomness that could afflict the system. Yes perhaps this threshold is higher when using LLMs, but even when using LLMs, not all inputs share the same level of indeterministic output