Exactly my point, any teacher gearing up to be responsive to ChatGPT by molding coursework around its shortcomings are going to have an endless string of 'new and improved' coming their way scuppering the plan if they don't project out capabilities and plan accordingly,.

Wait they gave it a name?

My thoughts on the topic are that,even if we get a proto AGI by 2025,the world's largest supercomputer won't be able to simulate the human brain and it's complexities. It will take time before we can put all that computational power into good use.

I do still feel that even if we got AGI by tomorrow, we'd still need at least 5 years to be able to use that commercially. All these things you worry about,I strongly feel that they'll come into good use once we have AGI. I feel that we will first have AGI and then we will get to implement all of them into our society.

This is a very real concern already, likely why OpenAI was able to produce a detector, something they’d already created.

The thing that gives me pause is, once AI takes the lion's share of data compilation, the AI compiled data becomes the source of data. Unless AI has a way of filtering AI generated data, any errors in its data or inherent biases compound, until the whole thing crumbles in a mess of self informed and reinforced data.

>Now what if you have the same system but it can check it's work against the internet?

or are you talking about something like this? https://chrome.google.com/webstore/detail/webchatgpt-chatgpt-with-i/lpfemeioodjbpieminkklglpmhlngfcn

>Now what if you have the same system but it can check it's work against the internet?

lol like Bing chat?

IMO if AI helps people make better AI then it's basically self-improving already

Technological recursive self improvement has always been going on in the background and yes it is ready to takeoff at some point, sooner rather than later.

The spammer can speak.

Honestly with the speed that things are going at whatever the changes are is going to be trying to hit a moving target.

ChatGPT can answer things confidently incorrect.

Now what if you have the same system but it can check it's work against the internet?

What about the next model that has even more fine tuning around ranked search results (e.g. trust the *math results from Wolfram Alpha higher than anywhere else etc) and maybe even more emergent capabilities?

Whatever the new structure is needs to be formatted in such a way that should capabilities increase from here it's not kneecapped e.g. generating an essay via ChatGPT and getting the students to grade and correct it completely falls by the wayside when the generated document is 100% factually correct.

That would be like asking a human to draw an accurate picture of their skeleton or nervous system.

Or they unbanned after someone knee jerk reacted and banned him before.

I imagine a huge slender cylindrical (whatever shape) “database” existing at the center, and “linear thoughts” would be a data stream that would propagate from this central position, but remain connected to it, like a small tendril. This tendril would be 1 conversation, or a line of thought, similar to the stream of consciousness literary device.

When that instance, conversation, thought, etc. is deemed “complete”, either by outside environment or internal timers, this tendril will fold itself perfectly back into that center database, allowing the AI to “re-center” itself, seamlessly (once systems have been perfected) integrating the most recent information into its already existing database, and allowing it to bring that entire knowledge base into the next virtual space it occupies.

Hope this helps!

When do you think that will happen? It would be nice if it happened ASAP and worked out perfectly for all of humanity, but who knows if/when we get recursive self improvement.

Recently 2 papers were released that dealt with making frozen LLMs multimodal (with coffee and models released).

Blip-2 - https://arxiv.org/abs/2301.12597 https://huggingface.co/spaces/Salesforce/BLIP2

And fromage - https://arxiv.org/abs/2301.13823 https://github.com/kohjingyu/fromage

that doesn't work just like asking you for writing out the construction plans if your own brain.

I'm not sure what your "linear thoughts" look like if you think a language model that constantly updates itself to maintain its predictive ability is "thinking" in any way. Where does agency come into the picture here? Where's the goal structure?

Thank you kind Redditor.

They only take about 30 min or so to talk about it..... Kinda... It is not the whole 3 hours

https://www.youtube.com/live/AxAAJnp5yms?feature=share

I have had it say its internal name is Sydney so many times, unprompted. I think it's an inside joke at Microsoft.

Where can I see it?

Why would Bing have access to that?

It strikes me that you could recreate bing using the openai api, by feeding it that prompt

Or even that the output on the screenshots is real and not edited in the web browser developer tools.