On the other hand Vision Pro's price will go down and quality will go up. Apple has the deep pockets to continue to invest until the technology really delivers at a mass market price. This wasn't really there for the labor intensive high-touch Starcruiser experience.
I think it kinda goes back to "I'll ignore it for now and wait a few years if it's still around with a reasonable value proposition"
And I mean it in the most positive way: if it ever works out Apple will come out with a better headset year over year, and build a community around it, XR will have made it to the mainstream. If it doesn't pan out will have a data point on what fails, and get other products that skirt around these issues while providing compelling features on the parts that matter, we have enough competition to have the concept survive.
Either way it's a win, and I salute Apple for jumping in the pool.
Even so I am not sure if we will see electronic prices dropping over time the way they have in the past. Probably the most important scaling in semiconductors was the price coming down from shrink to shrink and that seems to be over. That’s why the 40-series cards from NVIDIA don’t improve on the 30-series for performance per dollar.
Apple leads the world in powerful ARM SoC but they make high end parts that sell at high end prices and compete with Meta who is very concerned about selling price and sometimes willing to subsidize hardware in the hope they make it back on services.
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compress the following text in a way that fits in a tweet (ideally) and such that you (GPT-4) can reconstruct the intention of the human who wrote text as close as possible to the original intention. This is for yourself. It does not need to be human readable or understandable. Abuse of language mixing, abbreviations, symbols (unicode and emoji), or any other encodings or internal representations is all permissible, as long as it, if pasted in a new inference cycle, will yield near-identical results as the original text:
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There is no reason to think GPT-4 has any special knowledge about prompts, or how they should be effectively compressed so that it will treat it as equivalent to the original. It does an interesting job of faking it. But they are basically asking GPT-4 for a stylized version of "summarize the following:".
With access to the actual model you could try to do some real compression: encode a sequence, then search for the shortest possible text which gives an embedding near the embedding of the original text. This kind of 'optimize the input' is basically how Deep Dream worked...
Yeah, what you'd need is something like the OpenAI embeddings API, but with a model compatible with the GPT model you are using. (Though it might be worth trying it with that API and the model it has—it won’t be perfect, but you don't need perfect to be valuable.)
Indeed, LLM's seem to be much worse at introspection than humans. I wonder what would happen if one used reinforcement learning to train into it the ability to correctly predict and reason about it's capabilities and behavior.
(Uses recurrent langchain loops for introspection and learning about itself and its capabilities as they grow + vector databases like Pinecone for long term memory)
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Compared to numpy, octave has a nicer syntax for matrix math, but a bit idiosyncratic as a general language. It doesn't have anywhere near the ecosystem of Python/NumPy/SciPy. It is also nice in that there is a standard development shell with REPL plotting, debugging and text editor. Like numpy it is pretty slow if you have to actually use for loops over large data sets.
On the other hand needing to sell yourself, and being judged on how well you present yourself seems very much a part of being human. I agree though that the "human capital" language and the formalized processes at some places is a bit dehumanizing.
We'd all like to be judged by our objective value, but the problem is, it's really hard to measure it, so we have to use some kind of heuristics. One of the heuristics is self-confidence which is supposed to come naturally with skill.
So if you hide yourself from the world, don't be surprised that the world doesn't see you. If you want the world to see you, it is your responsibility to sell yourself, in order to inform and assure others of your value. The valueable ought to be louder than the conmen, in order for world to work properly.
But if corporations are amoral, why shouldn't they pretend otherwise? It is to their benefit, and they are obliged to make decisions to their benefit regardless of moral considerations.
If a company's job postings said "We are an amoral corporation and we don't pretend otherwise", would that help their hiring?
I agree that we should take a skeptical view to corporations virtue signalling. But I also think even democratic governments have at best a marginally stronger claim to moral virtue. That combined with the challenges of crafting regulations that achieve the desired results (desired by who though?), with acceptable levels of negative expected and unexpected consequences (acceptable by who?). Good regulation is important, but it is fiendishly difficult to do well.
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