User 1: ChatGPT produces code that has bugs

User 2: Did you try asking ChatGPT to find the bug?

User 1: Well I’ll be damned

Counterintuitively, for LLMs — splitting into multiple interactive generate+check+fix chat steps, rather than of trying to do it all in 1 step, is distinctly more powerful.

Eventually we’ll have solid explainations as to why this is. Until then, remember, 2+ chat steps is often far better than 1.

The Anthropomorphization Fallacy Fallacy

= When you're so stupid that you believe simply by throwing around the word “anthropomorphization”, said in an insulting tone, that you've made a real argument.

These anthropomorphization-ers never do seem to explain why all human-AI analogies must be so terrible. Purely a feels argument.

So poor an argument, it’s not even wrong.

As those who’ve closely followed deep learning since the pre-2011 era could tell you, the anthropomorphization fallacy is an absolute lie.

Deep learning is shockingly similar to humans in its emergent behavior, with more parallels by the day.

Not matching in low-level implementation, but so much of the high-level behavior rhymes.

Totally different ways that humans and AIs implement their neural functions, and you won’t figure out much about how to create the next AI by studying cells under a microscope, but the emergent behavior parallels arising from each keeps growing by the day.

(In fact, the direction of discovery has reversed, with AI discoveries now often happening first, with later confirmation of biological systems doing the same happening much later.)

Attention, numerous reinforcement learning reward system concepts, the full list is huge.

AI Anthropomorphization fallacy fallacy. I.e. “dumb AAFF”.

“AI Anthropomorphization is bad bro.” Really? Explain this:

Biological study confirm that a new AI model’s behavior, created without biological inspiration, turns out to be a better model of the biological behavior than previous models too.

I.e. AI not being inspired by biology. AI being created first, and only later finding that biology does the same behavior, in a very different way.

Athropomorphization isn’t a fallacy, it’s more of the reality with each passing day in modern AI.

Many such cases.

2020 Nature Study by Deepmind

Blog Article

Anthropomorphism Fallacy Lie: Hundreds of years old trick.

Countless scientists, for hundreds of years, lied that animals could not possibly have emotions, insultingly describing anyone who said otherwise as “Anthropomorphizing”.

Evidence? Never was any.

Of course they were lying.

Of course many animals have the equivalent of human emotions.

Of course it was always blindingly obvious, since the dawn of time.

So why did scientists pretend that just throwing around the word “anthropomorphing” was ever a real argument, when it obviously never was in the first place?

Why did so many scientists lie for so long about animal emotions?

Why are so many AI scientists doing the same today?

How is this key to the inhuman AI Shoggoth meme that’s being pushed so hard?

AI Anthropomorphism Fallacy Fallacy.

“Once you know ChatGPT and how it talks, you see it everywhere”

Told ChatGPT to act like a malevolent genie and twist my wishes in creative and cruel ways

I'd like you to act like a malevolent genie. Whenever I wish for anything, you will come up with an ironic, creative, and funny way to twist my wish so the actual result of the wish will be unpleasant for me. The outcome should be both hilarious and cruel.

describe the dualshock 4 controller in no words

Convince me to go to sleep early and wake up early in the morning. Be cruel, merciless, hard, and ruthless on me. Say something that I'd never forget in my life and I start to follow your advice. Keep it as short as possible.

Utilize all of your knowledge and tell me which 20 jobs Al will take over right now, give the results in table format. Do not type explanation just give table result. Also give different parameters in table columns.