91–100 of 225 posts
This is not really the same, but may be interesting to some: I subscribe to ChatGPT plus for a month to check out GPT-4. The rate limits were cumbersome though and it can be easy to waste a prompt, so I started to bootstrap: I would explain my problem to 3.5 and ask it to suggest comprehensive prompts to use with 4 to maximize my limited quota. It worked very well. In the long years to come the most advance AIs may b…
The technological singularity is approaching fast. It's pretty clear that, given terminal access and an appropriate outer loop, GPT models can iteratively create new GPT models (either by writing and executing Pyhton code, or later versions trained on LLM weights may even be able to output new weights directly). If the inner workings of the loop are sufficiently obfuscated (in the code-based version), it wouldn't nec…
Calm down. It is a language model . People have figured out how to predict the next word for a given prefix. That's very cool and it will definitely have a significant impact on software. But it is not artificial intelligence.
To predict the next token you must reason or have some process that approximates it.
“Given all these various factors, the most likely resolution to our conundrum is: …”
Good luck doing that with any kind of accuracy if you lack intelligence of any kind.
Language is a distraction. These things reason (badly, atm). It is totally unclear how far this goes. It could fizzle out, it could become our overlord.
The technological singularity is approaching fast. It's pretty clear that, given terminal access and an appropriate outer loop, GPT models can iteratively create new GPT models (either by writing and executing Pyhton code, or later versions trained on LLM weights may even be able to output new weights directly). If the inner workings of the loop are sufficiently obfuscated (in the code-based version), it wouldn't nec…
Unless this singularity is able to construct for itself sensors and actuators that can refine existing knowledge and acquire new knowledge, it will forever be hamstrung by the incomplete and static knowledge of the universe that was used to train the initial model. This is where regulation is desperately needed. We must be very careful with the kinds of sensors and actuators that are integrated with these systems. Pe…
Earlier quoted context omitted.
Unless this singularity is able to construct for itself sensors and actuators that can refine existing knowledge and acquire new knowledge, it will forever be hamstrung by the incomplete and static knowledge of the universe that was used to train the initial model. This is where regulation is desperately needed. We must be very careful with the kinds of sensors and actuators that are integrated with these systems. Pe…
There is no singularity if we get there first.
Combine TDD and Self debugging into a workflow and you almost have a new paradigm of software development where entire applications can be developed with a series of prompts. Software programmers have finally programmed themselves out of jobs! It's kind of poetic justice that LLMs trained on open source code is replacing us. We should have never listened to Richard Stallman. /s
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You can already do this in theory with tools like AutoGPT and BabyAGI. Why hasn't the singularity happened already?
Exactly AutoGPT is exactly what he is describing but I’m still lost as to what the verbiage is then. Is that the singularity?
The technological singularity is approaching fast. It's pretty clear that, given terminal access and an appropriate outer loop, GPT models can iteratively create new GPT models (either by writing and executing Pyhton code, or later versions trained on LLM weights may even be able to output new weights directly). If the inner workings of the loop are sufficiently obfuscated (in the code-based version), it wouldn't nec…
There are paradigms shifts necessary for many applications.
Earlier quoted context omitted.
Could you explain in detail how that causes the singularity? I’m lost. I saw a cool tool used to make another cool tool. You saw the singularity. Where is this logic coming from? Why would terminal access which I’m fairly certain I’ve seen in autogpt, change much.
The cool tool makes another cool tool, which in turn makes another cool tool, faster and faster, until we really don't understand at all what the latest cool tool is doing. But it just keeps getting smarter/faster/more effective/whatever it's optimizing for. That's the basic definition of "the singularity".
Earlier quoted context omitted.
Exactly AutoGPT is exactly what he is describing but I’m still lost as to what the verbiage is then. Is that the singularity?
Yes AutoGPT would be the singularity if it had more brain-like subsystems like long and short term memory and is hooked up to real world instruments.
Way to handwave all the difficulties with this in reality.