Could you explain how the probabilities are computed for an online/essay excerpt? My understanding is that the probability for the next token is given by all previous token. Given that online the (system + user) prompts and the possible previous turns will almost certainly not be included how can the probabilities be accurate?
And then you encounter packages with `setup.py` that generates a random list of dependencies on each run. You can't know the dependencies without running code.
Thank you very much. It becomes just a little bit harder.
Yes at some point I'd like to improve the visual around the river sprites. Maybe even adding some shader to make water water
You have a great build up for an argument but why this conclusion?
At some point who should be doing ethics? Lawyers? Computer scientists? (I'm not asking ironically, who really is well placed to make population level and extremely though questions like balancing the protection of the few against a global important health interest/gain?)
Presumably, a reasonably repræsentative cross section of society. So my cop out answer is "all of them, plus the stay at home mother, the farmer, and the lumberjack"
I think the main problem is whether intelligence is a computable function (or at least approximable by ones, like AIXI is), and then whether it's of the form that NNs implement (linear algebras plus sigmoids and all that jazz).
With the change to only five days of being publicly traded requirements, incentivising market makers to keep a high valuation becomes very cheap.
After five days the index funds have to buy at the last price making it final.
In other words even if the vast majority of the market believes it's worth much less, they can force a high price and force basically everyone to hold it via retirement funds.