That is a bold claim contrary to the consensus of evidence I could find. From what I've read, masks were generally effective at reducing the spread of COVID, found mostly through observational studies, but backed by some random trials as well.
You should either cite evidence or amend your claim.
I've worked at three very different companies where at least one member of the software team had to essentially negotiate for their project's budget and scope (and tacitly their jobs in some cases).
I still have one of those lying around in the draw. It's the backup phone and every time I or my partner needs to use it I am surprised at how well it still works.
I read through this entire article. There was some value in it, but I found it to be very "draw the rest of the owl". It read like introductions to conceptual elements or even proper segues had been edited out. That said, I appreciated the interactive components.
"The MLP (multilayer perceptron) is a two-layer feed-forward network: project up to 64 dimensions, apply ReLU (zero out negatives), project back to 16"
Which starts to feel pretty owly indeed.
I think the whole thing could be expanded to cover some more of it in greater depth.
I think the big frustration I've had in learning modern ML is that the entire owl is just so complicated. A poor explainer reads like "black box is black boxing the other black box", completely undecipherable. A mediocre-to-above-average explanation will be like "(loosely introduced concept) is (doing something that sounds meaningful) to black box", which is a little better. However, when explanations start getting more accurate, you run into the sheer volume of concepts/data transforms taking place in a transformer, and there's too much information to be useful as a pedagogical device.
I tried to include tooltips in some places that go into more depth, but I understand there's a jump. I'm not sure what will be the best way to go about it tbh
I also think it's a matter of time before we start constructing virtual worlds in which we train AI. Meaning, representations of simulated world-like events, scenarios, scenery, even physics. This will begin with heavy HF, but will move to both synthetic content creation and curation over time.
People will do this because it's interesting and because there's potential to capitalize on the result.
I thought of this in jest, but I now see this as an eventuality.
> People will do this because it's interesting and because there's potential to capitalize on the result.
I don't know why anyone admits to thinking this. For one, there's nothing stopping you from making movies or writing stories now. You're not suddenly going to develop creativity or interesting ideas using LLMs, either.
Also, think it through. If everyone can yell at computer until movie fall out, there will be millions of them and nobody will pay for anything.
Not OP but it's the best auto tiling WM I've found for MacOS so far. Yabai requires SIP disabled for what I would consider core features which is a no go on a work laptop. Aerospace sides steps this and MacOS's horrible window management by just not using the built in spaces. I've only had to restart it a couple times over the last 4 months due to bugs.
Yes; my neighbors had trouble going to the grocery store. From appearances, you might think they're on vacation from Mexico. They have been here for generations, and one of their family is a high enough ranking member of the military that I won't say more to avoid the risk of doxxing them.
It's not a crime to be an unauthorized resident of the United States; it's a civil offense. Knowingly hiring an ineligible worker is a crime, however. I'm curious why we aren't going after the employers attracting and hiring undocumented residents.
Besides, people were being deported in significant numbers across multiple presidents in both parties without resorting to the strategy and tactics of the current administration.
I know they were. But when Obama and Clinton were doing it, one of the big differences was that there were not all these Karens blowing whistles and interfering with those operations. The difference is that now there are far more deranged people who want to take the law into their own hands, and often these people are violently attacking law enforcement.
I don't like having these conversations, and I don't consider myself a defender of the current ICE. It's far from a perfect organisation and it has a lot of problems.
But it seems clear to me that the concept of law and an ordered society has taken a big hit. Trump Derangement Syndrome is not an excuse to allow that to evaporate in Minneapolis and all the other cities with extremely violent protests and attacks on law enforcement.
It seems you're under the belief that the Karens blowing whistles is creating the different enforcement mechanism.
Can you explain how this is not disproven by:
1) POTUS's own statements for years prior to taking power that he would enact a totally different kind of immigration enforcement regime
2) The massive budget increase and personnel surge for ICE, planned at least several months before Trump even took power
3) DHS policy memos shared days after Trump taking power that claimed nationwide expansion of expedited removal powers
4) Declaration of expansive state powers under AEA, also planned months before taking power and therefore months before any public resistance to immigration enforcement
These are all extremely, extremely aberrational actions and policy decisions, all of which contribute to the current facts on the ground in Minneapolis and elsewhere, and none of which were in response to Karens blowing whistles.
What evidence do you have that Karens are causing the enforcement shift, versus the enforcement shift causing the Karens, given that the enforcement shifts were planned for months before the Karens even had any whistles to blow?
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