In the DC area we are seeing more places offer cash discounts. At restaurants it is listed on the menu. With local (not national) retailers you have to ask. However I do save a bit by avoiding cards at the right places. Sometimes as much as 6%.
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Many years ago I used to believe in the narrative of the "right way" to immigrate to the US. However after learning a lot more about the immigration process and the history of immigration in this country, I've learned that the "right way" has extremely high arbitrary barriers that are intended to keep some people out who come from some countries while allowing more from others. This is the quota system.
IMO this is a flawed application for immigration policy because it can cause some people who go the "right way" years to get through the system with one or two minor mishaps meaning you jeopardize your chance of becoming a citizen. It really shouldn't be that hard to become a citizen of this country. Immigration reform has been long discussed as the only solution to this problem, but Republican lawmakers have decided this is too good of a wedge issue to ever fully fix the problem.
So, yes, while I agree with you on the surface, where I disagree with you and this argument is that it papers over the extremely hostile, dated and ineffective policy that has largely been the source of problems for Immigration for decades that lawmakers don't seem to want to solve because it benefits their campaigns.
I haven't found that to be the case. I have used cc within an container and on the host machine and it has been fine. Any command that could cause changes to your system you MUST approve when using it in agent mode.
You really shouldn't double up on ad/tracking blockers. That can cause problems for the predefined filters. Go with one or the other. I prefer uBlock Origin personally.
To what extent connections in a neural network are analogous to connections between neurons in your brain is open to interpretation and study, but the point of the analogy is that in neither case is a copy being made.
I can arrange a series of bricks in many ways to try and build a wall but that doesn't mean I will automatically get a good result if my process (like a ML training algorithm) doesn't precisely arrange then in a manner that produces a rigid wall with the desired characteristics. In the same vein you can have a fancy neural network arranged by some fancy LLM training algorithm with gobs of data about a subject but current methods likely won't produce anything with the depth of "understanding" that a human can do. It's a crumbly wall that falls once you do any real inspection or put any real load into it.
Yeah but a copy IS made. A human just reads. The machine copies the full text then compresses a lossy copy in its weights. You keep dodging that with tortuous analogies of a human learning.
I’m sure all these ‘clever’ questions would be useful if this trial was about humans but it’s not.
Model training works roughly by feeding the model a text excerpt and then hiding the last word in the excerpt. The model is then asked to "guess" what the final word is. It will then move around it's weights until the guess sufficiently matches the actual token. Then the process repeats.
The training material is used to play this guessing game to dial in it's weights. The training data is picked up, used as reference material for the game, and then discarded. It's hard to place this far from what humans do when reading, because both are using the information to mold their respective "brains" and both are doing an acquire, analyze, discard process.
At no point is training data actually copied into the model itself, it's just run past the "eyes" of the model to play the training game.
Kind of surprising, I went the other way. I started out with ReadyNAS 15 years ago and after that product faded due to lack of support I no longer wanted to be tied down to a manufacturer. I built a custom solution using a U-Nas chassis. Found FreeNAS back in the day and have stuck with it ever since. Maintenance is fairly minimal.
If you heavily rely on apps/services. I've just gone to self managed docker environments for things like that. A very simple script runs updates.
Had the same problem with Peacock despite constantly attempting to unsubscribe and mark spam. In the end I just created a filter rule to throw it in spam.
If you're in the US, I've had success by contacting customer service and threatening action under CAN-SPAM. The FTC has never really provided an easy way to file complaints or request enforcement by the public, but it seems to get their attention all the same. Now is a good time to try to exercise your legal rights against corporations before they are all executive order'ed away.
I missed that FAQ item, thanks. I've seen (and used) the "report fraud" page before, and I had seen something to suggest that it was the right place to report illegal spam, but it wasn't clear how "spam" and "fraud" were related.
I just said something like "If you don't remove me from the list within 24 hours I will report this to the FTC as a violation of US federal law." That's the easy part, the hard part is actually getting through to someone.
That might be out of concern of bad faith users abusing such a feature, such as folk who actually opt into a newsletter and then feed the results into such a filter.
I choose to drive the agenda, so bring one to the meeting. I also tend to avoid detailed technical discussions or blockers, that is what stand-up is for.
Areas of topics I focus on:
* Opportunity for Personal Growth
* Feedback on complex dynamics within my team or company
* Market opportunities for product (if relevant)
* Overall Engineering strategy
After my agenda is complete, then the manager can bring up items they feel are noteworthy. I generally leave half of our one-on-one open for them to drive a bit.
