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Thank you. I got a little further this time. The UI needs a LOT of work to make it friendlier. It's difficult to enter numerical values, and often the values just go blank.

I suppose there's a reason node editors use a block and line interface mainly.

I'd actually prefer a tree-structured approach, where you could turn a subgraph into a single block, allowing you to structure appropriately.

I am unable to figure out how to use this.

I move blocks around. Some blocks I can attach to the bottom of "run this program" block and they clearly run. But I was unable to add any more blocks that did anything.

The screen is two dimensional so I was expecting to be able to put processing blocks anywhere. Sure I can but they do nothing.

What's missing (for me at least) is an explanation of the user interface.

I'm one of the designers of the GeForce 256.

The hardware transform and lighting was an enormous step forward, and there was no other single-chip manufacturer that had that functionality. Yes, it took a while before the game developers learned to use the hardware well. We supplied the cart; up to them to get the horse attached and working...

I'm not going to argue the meaning of "GPU" with the other posters. Suffice to say our intent was to implement the entire graphics pipeline in hardware, allowing a nearly complete offloading of the CPU.

We demonstrated the GeForce 256 to SGI engineers, and showed that we could run their OpenGl demos at roughly the same speed they ran on their Onyx systems which cost about 100 times as much.

The linked Nvidia article, to be honest, is marketing fluff. It took several years before we figured out how to turn a GPU into a usable parallel computation engine; in the meantime we had enough effective programmability that people hacked up D3D and OpenGl programs to do some interesting work.

I read in Forbes about a construction company that used AI-related tech to manage the logistics and planning. They claimed that they were saving upwards of 20% of their costs because everything was managed more accurately. (Maybe they had little control boxes on their workers too; I don't know.)

The point I am trying to make is that the benefits of AI-related tech is likely to be quite pervasive and we should be looking at what corporations are actually doing. Sort of what this poem says:

For while the tired waves, vainly breaking / Seem here no painful inch to gain, / Far back through creeks and inlets making, / Comes silent, flooding in, the main.

Apologies if this has been posted already, but my search fu failed to find a similar post.

1. Start the cancellation process for your current license

2. When offered a discount or to switch to another plan, choose the cheapest new plan

3. Once your membership is updated, start the cancellation process again immediately

4. The cancellation fee is now $0.

(Source: https://ui.dev/rwd/articles/cancel-adobe-without-paying-the-... )

I can vouch that this worked earlier this year.

NVDA's forward PE is ~37, about what it has been for the past ~5 years I've been tracking that. So it's not overpriced based on that metric.

If you're convinced the stock is that overvalued, go short some or, if you like to live dangerously, buy some long-term put options (don't be an idiot and buy short-term options.)

I have no idea if NVDA is like Cisco Systems in 2000, or if it's something unique. What I am aware of is that there's around 5-7 trillion that were moved from stocks to t-bills since the Fed raised rates in March 2022. If and when they drop their rates back to the historical ~2.5%, it's reasonable to predict these funds will go back into stocks, which will presumably drive up prices.

The thing about owning the CUDA spec is that Nvidia can add new features quickly without having to argue with other hardware vendors. I find that a positive thing overall.

Also, I choose to pay the ~$120 Windows tax once (per box), everything works very well, and I don't have the driver issues that some fraction of other users seem to have with Linux and Nvidia cards. Seems like a good use of my time.

The problem I have with these is that they do 98% of the removal well, but flub the last 2%. This has been the case with every one of the online and app flavors I have used (note I refuse to subscribe to Adobe.)

My use case is mineral photos, as it turns out. And I would be very surprised if the AI had been trained on these. The sad thing is -- mineral photo backgrounds tend to be very simple and smoothly-varying. Should be a slam dunk. Ah well.

A one-shot background remover doesn't give you the opportunity to interact with it and suggest that it got things wrong here and there.

Yes, I tried one of my mineral photos, and the app made several errors that it shouldn't have, as the foreground was clearly distinct from the background.

I don't know if I'm allowed to post a photo link, but here it is: https://imgur.com/a/V9H1pRH .

Issue there is the ability to trace out the brain networks accurately. We're getting closer. Once we're in the ~0.5 micron scanning range, things will get VERY interesting.

I believe we've already mapped some invertebrate brain, maybe 250 neurons.

I view explainability or interpretability of a network as the ability to take a network and replace it with a drastically smaller set of functions and tables that (a) you can explain and (b) work pretty much the same as the network does.

Because we understand these functions and tables, we understand exactly how well the network will work, and also what is missing (i.e., how we can expand its accuracy.)

I think this is a very hard problem, but it is one that needs to be solved.

I agree the stuff any five year old can do is well beyond current AI/robotic tech.

Let's focus on actual intelligence, though. What, exactly, would a 100-mind AGI be able to do that a 1-mind human can't? And what can a 1-mind human do that the 100-mind AGI can't?

My guess is that the 100-mind AGI is capable of building nearly perfectly accurate internal models of the 1-mind humans. So the AGI runs the model, and figures out the exact stimulations needed to get the 1-mind human to do what the AGI wants. You will not be able to resist.

The 1-mind human might be able to come up with physical theories that the AGI has no way to deduce. Maybe. (These physical theories may need experimental corroboration. If the AGI doesn't have access to the inner details of the latest ultra-LHC experiments, it may not be able to properly theorize.)