Hell sometimes the ai may look at values in .env or other uncommited stuff. Its execution path may depend on which commands are available in the environment. The specific model and settings. On top of the inherent randomness if you havent set model heat to 0. i suspect it is very hard to get consistent reproducible ai runs
The EU in its current form is mostly about markets. It routinely pushes for the sacrifice of government monopolies to the altar of the free market (see for a recent example the french train network). Most of its regulations are to ensure a level field for a balanced market.
Hell it pushes for free markets even when it makes very little sense (the eu electricity market and its weird idiosyncrasies are an artifact of that)
It basically bans member governments from printing money and imposes very strict limits of 3% GDP on government deficits. For reference the US deficit was 5.9% gdp this year, Almost twice as much. this greatly limits government control over the economy.
As someone who worked on transformer-based diffusion models before (not for language though), i can say one thing: they're hard.
Denoising diffusion models benefited a lot from the u-net, which is a pretty simple network (compared to a transformer) and very well-adapted to the denoising task. Plus diffusion on images is great to research because it's very easy to visualize, and therefore to wrap your head around
Doing diffusion on text is a great idea, but my intuition is it will prove more challenging, and probably take a while before we get something working
In between the beds?? Does that mean the shower was right in the middle of the room ? So that it would be impossible to place a double bed ? This is the weirdest part to me
I tried that concept whith my ergodox when i had an arm in a splint, but i couldnt quite get my brain to wrap around it. I could type on the right key, but not press the mirror/switch key at the right moment.
What would have made it easier is if it could infer the right key like an autocorrect
Python does allow you to put anything in annotations. ( pep 3107 that defines type annotations says that explicitly [1]).
But it also defines a type checking annotations, which is a specific convention for using pep 3107 annotations. Type annotations were introduced in PEP 484 and updated in a lot of subsequent peps. The python typing system is fully specified in [3].
It does have several implementations, although the reference implementation is mypy
Python has static typechecking which, while not perfect, works pretty well as long as you're not actually trying to circumvent it (or manipulating things "too dynamically")
This feels like something that should be opt-in, not opt-out. It feels trivial to have all clients that support it send a header stating they do, and it is ridiculous that the default is to allow sending reacts to clients that don't support them
"And hence invertible" <- does every output embedding combination have an associated input ? Are they able to construct it or is this just an existence result ?
> Whether good or bad, it's important to realize this is not true in California, with regard to these laws. They apply everywhere, not only in urban centers.
According to the linked article, the only areas affected by this bills are major transit centers and high throughput public transit stops, which tends to exclude small towns far from cities. If you look at the linked map, affected areas are all concentrated in big cities
Are you commenting on the bill being discussed here or on something else entirely?
If that is the case then why call it Agents.md instead of integrating it with already existing documentation files or calling it something like "Summary.md"?