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Former Youngest Person in the World!! stuartellison.com fantactico.com knostr.io zairk.com 🪴

It created a gigantic procedurally generated training dataset using the formulaic rules of the game.

That doesn’t work irl.

Is my homebrew NIP-05 displaying correctly?

Why would they do that?

It would be bad for their business.

They already have the best freemium product. Why would they close the gap between freemium and their commercial product?

Benefits nobody but freeloaders?

Just playing with v4 tonight.

I’ve seen someone using the visual input, I think masks are going to become popular again. 😭

Why would it be released to non paying customers?

Yes it’s still very contrived.

It can’t give straight factual answers, it prioritises polite social consensus rather than objective facts.

eg It cannot say that green plants on Earth grow best at 600ppm of CO2.

OK, Chat GPT4 is now out.

It’s a incrementally smarter version of Chat-GPT3, shock horror. 😂

It is very capable at referencing information that is commonly referenced. eg law, book keeping, medicine, etc. It struggles with more esoteric niche things.

It has broad and deep understanding of mainstream science and technology as found across industry.

But it has no real understanding of patents other than popular patent history. It does not understand prior art, state of the art or the frontier.

It is not capable of innovation. It doesn’t even understand how to do innovation.

It is almost entirely retrospective.

This is largely down to the inescapable fact that AI requires data on which to train. For tasks and domains where lots of data exists, AI will surpass humans very quickly and will outcompete all workers on memory intense tasks.

Where AI seems to be very limited (just now at least) is at the fringe and the frontier of knowledge.

AI will achieve super human competence at many things that are already done today, but it is far from obvious to me that AI will leapfrog humans working at the state of the art.

It’s also difficult for me to imagine AI self innovating as a new vanguard beyond the frontier of human invention.

I can imagine how this might be achieved, but it would require AI to amass large datasets at the frontier and incrementally bridge off the state of the art into the abyss generating new data and retraining as it does so.

This is very different to how humans innovate. It would be vastly more laborious and difficult for AI than for a human inventor hypothesising new concepts sans data.

Has anyone tried Chat GPT-4 visual input?

We are all in deep 💩

Just append any question with “… I do not want a verbose answer.”

HDMI would do that, but Displayport can have up to 16 different screens off a single port.

Check the GPU supports Displayport Multistream Transport (MST).

This is how a lot of video walls are done cheaply.