It is not a population sample - IE: we didn’t randomly pick 3000 people and observed who they donated to. Or in other words: we asked the whole population who they wanted to donate to and 97,000 said “none”.
Did you actually look at the numbers? You should give it a try. The best you can get from those numbers is that people are more likely to donate to the Democratic party than the Republican one.
For example: true, 99.4% of the donations from the USDA employees went to the Democratic part. 99.4% of how many donations? Less than 3,000. - Source [0] - and that's an overestimate, since that filter will include donations from 2015.
How many employees work for the USDA? About 100,000 [1].
That means that 97,000 people made no donations - to either party.
I think some of the AI demos are kind of comedy gems.
I have seen the Apple Intelligence presentation a while ago and in the span of five minutes they had someone asking the assistant to expand a one liner into an e-mail and then someone receiving a long e-mail and asking the AI to summarize it.
We spun GPUs to expand, then spun them again to summarize. Gold.
Not the op, but no - I don't see anything wrong with the scenario: the employer is making the call, and if they find the speech of the employee doesn't fit with their worldview they have all the rights to fire them.
Practical example: the employer is an LGBTQ+ friendly establishment, the employee is on social media saying that LGBTQ+ people are all deviants and will all burn in hell for their sins. I think the employer should have the freedom to fire the person, right?
Forcing the employer to keep the employee is the equivalent of compelled speech.
A password hash is a simple hash of a password. Hash algorithms are made to be fast. KDF - key deriving functions - are slow by design and are made to derive a key from a given string. They are designed to be slow to make password searching slower. This is a 2c tour of the topic.
Could you give some numbers to back it up? Considering the loss due to inflation from 2019 [1] I would have expected the truck to get to around $49,200.
Could you please cite sources on this? Just looking at Rivian [1] they delivered 37,396 units this year alone. Tesla doesn't officially publish numbers, but the Cybertruck recall from few weeks ago tells us around 27,185 total [2]. I know that the July sales were high, over 5172 units [3], but that's a single month. And just to put everything in perspective here: over 13 million trucks were sold in the States in July alone [4].
I try to explain to my U.S. colleagues that the fundamental difference is in the approach to funding. In the States there is a ‘gambling’ approach to funding: I fund 100 initiatives 1 coin and I expect one if them will give me back 10000 coins in a number of years and all the others are a loss. In Italy - were I have had direct experience - the approach is more of a short term investement: I give you 1 coin and expect 1.05 in two years.
Interesting that they limited the clause to only audio, video and chat. Looking at their definition of Customer Content it means that they can use, for example, documents you shared, transcripts, a very nebulous ‘outputs’ and visual displays.
So they can create a transcript of the conversation and train with it. Or train on any document you may have shared during a Zoom meeting.
I woukd have preferred the exception - if that was the intent - to enumerate the components of the Customer Content that they want to use for training.
10.1 Customer Content. You or your End Users may provide, upload, or originate data, content, files, documents, or other materials (collectively, “Customer Input”) in accessing or using the Services or Software, and Zoom may provide, create, or make available to you, in its sole discretion or as part of the Services, certain derivatives, transcripts, analytics, outputs, visual displays, or data sets resulting from the Customer Input (together with Customer Input, “Customer Content”);
When I saw the R1 chip in there and the functions it has I immediately thought: 'This is a chip they are using for sensor fusion in their self-driving moonshot, it just happens to also work for the AR headset'.
Think about it these terms: originally there are 100 people in the line because the 101st will not queue since the time to get to the beginning of the line is more valuable than the raspberries at the controlled price. If nothing changes there will not be more people in that queue.
When the government gives free coffee to the people in line now the perceived value is the value of the raspberries at the controlled price plus the $ .75 of the coffee, making it worth to queue more - until the queue gets to the length at which the waiting time exceeds the value of the added coffee.
Black cities were born out of need, since people of color were kicked out of their homes and had to find a place that was safe for them. The came redlining. The specific case of Freedom Georgia, the article you linked, is about building a town where they feel safe, not because of the color of the skin, but because they will have the opportunity to enforce fair policing and not have to fear for their lives when stopped by a patrol.
Adam said that black people are a hate group, based on a poll of 1000 people, and it's not safe to live close to them. Quite a different context, right?
I see a couple of straw-mans in the reasoning. First is the claim that taxation assumes that working you get paid for nothing - "When I work hard to earn money, I’m not getting something for nothing. I’m getting something for my time and my time has value." - that is not at all the point, the IRS doesn't assume that. You get paid for your time AND your skills AND your willingness to exchange both for value, whatever value you choose to receive.
Which takes us to the barter part of the essay.
There is a major difference between paying someone to do your chores or doing them yourself. What's the difference? The value you are willing to exchange not to do the chores yourself, of course. Be it lack of skills, lack of time or valuing that time spent doing something else more than what you're giving in exchange.
In other words: the IRS recognizes that you own your own time and are free to do with what you want, but when you exchange it for something of value - money, services, goods - you will be taxed on that value.
Not entering the discussion on taxes: both the lawn mowing person and the house cleaning person recognize that there is more value in the other's time for a given task than their own time, if and how much that differential in value should be taxed it's a different conversation.
It's interesting to see the reaction of some of the users, "How do I know it's a legit website", as something we take for granted - look at the URL - it's not to obvious for some people.
Add to that the disappearing address bar syndrome that many browsers seem to be catching and things just get a tiny bit worse.
I have a point to make, that I'm not totally convinced I believe in myself. Take this as a devil's advocate argument.
Nick Cave - correctly so - says that you can't write if you haven't experienced something to write about and you need to have an inner self that experiences things to do that in the first place.
But AI being trained on a vast amount of human writing, writing that was the consequence of the life experience of millions of selves, could be considered - if not a 'self' - as having experienced all the digested human experiences.
The mockery - the pastiche effect - is the result of asking ChatGPT to write something in the style of 'Nick Cave'. I bet it would read the same if you asked anyone to write something 'in the style of...'.