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GPT-4

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Re: GPT-4

#773
post #367

Test taking will change. In the future I could see the student engaging in a conversation with an AI and the AI producing an evaluation. This conversation may be focused on a single subject, or more likely range over many fields and ideas. And may stretch out over months. Eventually teaching and scoring could also be integrated as the AI becomes a life-long tutor. Even in a future where human testing/learning is no l…

Completely agree. I've been frequently using ChatGPT to learn new things in my free time. I realize that there's a huge amount of downplay regarding the accuracy of responses, but unless you're asking specifically for verified references or quotes, it does remarkably well in smoothly guiding you towards new keywords/concepts/ideas. Treat it like a map, rather than a full-self-driving tesla, and it's tremendously usef…

> a full-self-driving tesla

Sorry for the derail, but this does not exist and yet this is the second time today I’ve seen it used as a benchmark for what is possible. Would you care to say more?

Re: GPT-4

#774
serious question for everyone: what are you planning to do when these LLMs replace our jobs? it seems it won't be long before a handful of tech employees will be all even the largest of companies will need, and maybe a few years after that the role will have changed so much there's no need for a single dedicated tech employee.

i am terrified

i imagine i should shift to some physical work. carpentry, real estate... something like that. it seems inevitable that any knowledge worker will become obsolete and the time to obsolescence for physical work is longer

Re: GPT-4

#776

After watching the demos I'm convinced that the new context length will have the biggest impact. The ability to dump 32k tokens into a prompt (25,000 words) seems like it will drastically expand the reasoning capability and number of use cases. A doctor can put an entire patient's medical history in the prompt, a lawyer an entire case history, etc. As a professional...why not do this? There's a non-zero chance that i…

> If you can put in ALL of the information relevant to a problem and it can algorithmically do reasoning

Well but it can't, can it? That's the very point: it is an algorithm with no abstraction or reasoning capabilities. Mind, even without that it is still very useful for certain circumscribed purposes, but it's incorrect to say it can "reason".

Re: GPT-4

#777

After watching the demos I'm convinced that the new context length will have the biggest impact. The ability to dump 32k tokens into a prompt (25,000 words) seems like it will drastically expand the reasoning capability and number of use cases. A doctor can put an entire patient's medical history in the prompt, a lawyer an entire case history, etc. As a professional...why not do this? There's a non-zero chance that i…

> As a professional...why not do this?

I would love to but openai’s privacy policies makes it a huge ethics, privacy, and security breach. I’m interested in running Facebook’s model just as a workaround to this fundamental issue.

Re: GPT-4

#778

serious question for everyone: what are you planning to do when these LLMs replace our jobs? it seems it won't be long before a handful of tech employees will be all even the largest of companies will need, and maybe a few years after that the role will have changed so much there's no need for a single dedicated tech employee. i am terrified i imagine i should shift to some physical work. carpentry, real estate... so…

My AI career disaster plan is to immigrate to a country with a UBI

Re: GPT-4

#780
post #218

A class of problem that GPT-4 appears to still really struggle with is variants of common puzzles. For example: >Suppose I have a cabbage, a goat and a lion, and I need to get them across a river. I have a boat that can only carry myself and a single other item. I am not allowed to leave the cabbage and lion alone together, and I am not allowed to leave the lion and goat alone together. How can I safely get all three…

LLMs aren’t reasoning about the puzzle. They’re predicting the most likely text to print out, based on the input and the model/training data. If the solution is logical but unlikely (i.e. unseen in the training set and not mapped to an existing puzzle), then the probability of the puzzle answer appearing is very low.

> LLMs aren’t reasoning about the puzzle. They’re predicting the most likely text to print out, based on the input and the model/training data.

Just like you.

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