Hamas claims 6000 of their militants were killed.
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 ?
To avoid people being homeless ?
Some members have stated as such but have been corrected by the leadership. Hamas, at least publicly, only said that they wanted to forcefully displace the Jews and that they would not hesitate to kill civilians to attain that objective.
Thanks I was too lazy to find the exact citation.
Do you see the difference between what you said and their charter ? What Hamas wants is awful enough, no need to exaggerate.
They don’t want to kill all Jews. They want the expulsion of all Jews from Israel/Palestine. At least according to their original manifesto, they’ve changed it to remove this part to be fair.
It can be argued that the Israeli government wants the same thing for the Palestinians.
Most surprisingly, the inspectors observed barefoot employees working in a sterile area of the facility, where they should have been wearing shoes—plus gowns, gloves, and shoe booties. (The barefoot workers were also not wearing gowns or gloves.) A production manager puzzlingly told FDA inspectors that shoeless work is “standard practice.”
They were supposed to cover everything including the feet.
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.