Same issue here.
Same issue here.
Separately, Jong has also alleged that Apple subjected her to a hostile work environment after a senior member of her team, Blaine Weilert, sexually harassed her. After she complained, Apple investigated and Weilert reportedly admitted to touching her “in a sexually suggestive manner without her consent,” the complaint said. Apple then disciplined Weilert but ultimately would not allow Jong to escape the hostile work environment, requiring that she work with Weilert on different projects. Apple later promoted Weilert.
As a result of Weilert’s promotion, the complaint said that Apple placed Weilert in a desk “sitting adjacent” to Jong’s in Apple’s offices. Following a request to move her desk, a manager allegedly “questioned” Jong’s “willingness to perform her job and collaborate” with Weilert, advising that she be “professional, respectful, and collaborative,” rather than honoring her request for a non-hostile workplace.
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Now instead of just querying the goddamn database, a one line fucking SQL statement, I have to deal with the user team
Exactly, you understand very well the purpose of microservices. You can submit a patch if you need that feature now.
Funnily enough I’m the technical lead of the team that handles the user service in an insurance company.
Due to direct access to our data without consulting us, we’re getting legal issues as people were using addresses to guess where people lived instead of using our endpoints.
I guess some people really hate the validation that service layers have.
You are in a bubble. A neo nazi march was banned two weeks ago in France before being allowed again by the judicial system. The exact same scenario has been repeating for pro-palestine protests.
At least in France, the scenario seems to be that the government wants to ban any controversial march and is being kept under control by the justice system.
I also have a similar experience, I was mugged at knife point and spit on by two adolescents. After that I was jumpy around groups of teens.
That said , I do not think my fear of teens was rational, neither was it healthy. Only a small minority of teens will mug people. Fearing a whole group for the actions of the few is in human nature, but it is something we must fight against.
I mean what is the end goal if women are in fear of men ? You can probably reduce violent crime even more, but it remains a rare event. Only 31 out of 1000 people were victims of a violent crime in the UK in 2010. If that doesn’t work, what remains? Sex segregation ?
I’m afraid that would not be sufficient.
These instructions are a small part of what makes a model answer like it does. Much more important is the training data. If you want to make a racist model, training it on racist text is sufficient.
Great care is put in the training data of these models by AI companies, to ensure that their biases are socially acceptable. If you train an LLM on the internet without care, a user will easily be able to prompt them into saying racist text.
Gab is forced to use this prompt because they’re unable to train a model, but as other comments show it’s pretty weak way to force a bias.
The ideal solution for transparency would be public sharing of the training data.
Hamas claims 6000 of their militants were killed.
people who’ve never been laid
That was unnecessary. I know that people with poor social skills have more trouble with romance, but implying that all virgins are socially inept is a harmful stereotype, luck is a big factor in finding relationships.
It’s absolutely amazing, but it is also literally and technologically impossible for that to spontaneously coelesce into reason/logic/sentience.
This is not true. If you train these models on game of Othello, they’ll keep a state of the world internally and use that to predict the next move played (1). To execute addition and multiplication they are executing an algorithm on which they were not explicitly trained (although the gpt family is surprisingly bad at it, due to a badly designed tokenizer).
These models are still pretty bad at most reasoning tasks. But training on predicting the next word is a perfectly valid strategy, after all the best way to predict what comes after the “=” in 1432 + 212 = is to do the addition.
More than 33,000 Palestinians have been killed in Israel’s offensive, around two-thirds of them women and children, according to Gaza’s Health Ministry. Its count doesn’t distinguish between civilians and combatants.
In the 33 000 figure Hamas combatants are included.
I’d say at least 20000 innocent civilians killed since the start of the conflict. Probably more as Israel seems to be quite trigger happy on civilians.
Now let’s look at Office. Open an Excel spreadsheet with tables in any app other than excel. Tables are something that’s just a given in excel, takes 10 seconds to setup, and you get automatic sorting and filtering, with near-zero effort. No, I’m not setting up a DB in an open-source competitor to Access. That’s just too much effort for simple sorting and filtering tasks, and isn’t realistically shareable with other people.
Am I missing something or isn’t it exactly the same thing in libre office ?
I don’t believe that there are solutions that are as complete as team, for video and voice calls it’s among the best.
But it’s so bad for text ! Why do I have to wait for a second when I change channels ? Why does it not support markdown (the partial implementation that it has is arguably worse than no implementation at all) ? Why is the search so bad ?
And cow feed is also grown with tons of pesticides and you need much more of it for less tissue at the end.
I have hard time seeing clothing with a bigger environmental than leather.
This is not true in France. Politicians that have proven fraud are arrested and charged. In France we have Sarkozy, Cahuzac, Fillon that were all charged with crimes.
They were president, minister and presidential candidate respectively. I’d be surprised if it was different in the USA. I’m seeing that trump is also being charged, the system seems to be working.
Convolutional neural networks and plant identifying apps came before chat gpt. Beyond both relying on neural networks they don’t have much in common.
Don’t know why you are down voted it’s a good question.
As a matter of fact it almost happened for search engines in France. Newspaper’s argued that snippets were leading people to not go into their ad infested sites thus losing them revenue.
https://techcrunch.com/2020/04/09/frances-competition-watchdog-orders-google-to-pay-for-news-reuse/
Why would java have an impact on battery performance ? Pretty much all credit cards run java for their encryption algorithms, and they need pretty much no power to run.
I don’t agree. Curvy roads are dangerous, but there are much more conflicts in cities. You’re not going to have many pedestrians in curvy mountain roads.
That said, you are right that the ideal comparison would be int the same city. But I’m not sure that the data exists, I’ll have to look this afternoon.
That said, even if my data is not perfect, it’s much better than taking one accident and saying that self driving cars are dangerous. They are not going to be magically better than humans, after all driving is a difficult task, but we should at least crunch the numbers before dismissing them.
You can’t take one accident and use that to generalize.
You need to take into account all accidents and see how worse humans are.
https://arstechnica.com/cars/2023/12/human-drivers-crash-a-lot-more-than-waymos-software-data-shows/
Cars are naturally dangerous. A robot car is going to have deaths no matter what. That does not mean they are bad if they mean a reduction of cars and accidents. Taxis if done properly can help a public transport system.
They’ve got thunderbird which is as far as I know the only serious alternative to outlook.