We’re seeing more and more that our “free market” with its “competition” doesn’t provide goods and services that most people want, which makes me wonder, why have free markets and competition?

There’s also websites hosted in countries that don’t care about US law. We can access those even without a VPN, for now…

Senior developer here, it looks like they are helping to me.

Careful, the 100,000 kg of pizza will turn into manure.

Programmer pay is so bizarre, it makes me cynical about our entire economy.

If I’m a blue-collar worker maintaining the wires between banks, I get paid little. If I’m a programmer maintaining the banking software that controls everyone’s money and is essential to the entire nation, I’m paid a little more, but not as much as some programmers.

If I’m a young man who creates a webpage that barely works venture capitalists are tripping over themselves trying to shove millions of dollars into my hands.

(Although, creating a webpage was the hot thing last decade, now the hot thing is creating an AI.)

We should measure size of files/storage as a function of how many standardized png’s of an american flag would fit in the same amount of space.

Fixed it, I will not be oppressed by your standards

To become a real programmer, you must install Copilot and let it copy and paste for you.

Why doesn’t JavaScript have tracebacks?

I think the joke is that the Jr. Developer sits there looking at the screen, a picture of a cat appears, and the Jr. Developer types “cat” on the keyboard then presses enter. Boom, AI in action!

The truth behind the joke is that many companies selling “AI” have lots of humans doing tasks like this behind the scene. “AI” is more likely to get VC money though, so it’s “AI”, I promise.

I feel like such a fool

The CEOs face the day he realizes all it takes to automate his company is a personal computer: 😃

The CEOs face the day after he realizes all it takes to automate his company is a personal computer: 🫠

Can’t people just hold it for 80 years until they die?

People were staring at you because the sound of piss entering the toilet was loud? Did they not know that’s how pissing works?

I hear you. Please download this app, click yes to all permission requests, then you can order using the design our team of highly paid (but non-technical) designers have been working on for the last 2 years.

Was he a Go developer before generics? Published 4000 versions of the library, one for each type.

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GPT4 did teach me. I say this as the one who learned, whatever that’s worth.

The “trees” for an LLM are their neural networks and word vectors. The forest is a word prediction algorithm. There is no higher level to what they do.

At what level do LLMs teach? Something was teaching me linear algebra and I thought it was the GPT4. When GPT4 was able to recognize a valid mathematical proof that was previously unknown to it, what level was it operating at?

As a programmer I can confirm that LLMs definitely have loops. Look at the code, look at the algorithms, you will see the loops. The “core loop” in the LLM algorithm is “read the context, produce the next work, read the context, produce the next word”.

The core loop in animals is “receive stimulus using senses, move muscles, receive stimulus using senses, move muscles”. That’s all humans do, that’s all animals do.

I think there’s a possibility that humans are simply very advance machines. Look at the debate over whether humans have free will, it’s an interesting question and the important take away is that we still have a lot to learn about our brains and physics. I don’t want to get into that though.

You’ve ignored my main complaint. I said that you treat LLMs and humans at different levels of abstraction:

It’s not fair to say that LLMs simply predict the next word and humans have feelings and reason.

It would be fair though, to say that LLMs simply predict the next word and humans simply bounce electric-chemical signals between neurons and move muscles.

I don’t think that way about people or LLMs though. I think people have feeling and reason, and I think LLMs reason too. LLMs aren’t the same as people and aren’t as good though. But LLMs are good enough to say that they can “reason” in my experience[0].

[0]: I formed this opinion when learning linear algebra from GPT4. It was quite a good teacher. The textbook I’m using made a mistake that GPT4 caught. I encountered a proof that GPT4 wasn’t aware of, and GPT4 wouldn’t agree with me that C(A) = C(AA^T) until I explained the proof, and then GPT4 could finally reason for itself and see for itself that C(A) = C(AA^T). As an experiment, I started a new GPT4 session and repeated the experiment using a faulty proof, but I wasn’t able to convince GPT4 with a faulty proof, it was able to reason through the math concepts well enough to recognize when a mathematical proof was faulty and could not be convinced by a faulty proof. I tried this experiment 4 or 5 times. To be clear, what happened here is that GPT4 was able to learn a near math concept in one shot (within a single context window), but only if accompanied by a proper mathematical proof, and was smart enough to recognize faulty proofs as being faulty. To me, that rises to the level of “reason”.