What about 2 3 4 5 6 7?
ExLisper
joined 2 years ago
Next they will put books in the game that you can read. Books thousands of pages long, longer than the bible.
If someone thinks about playing lottery just tell them to bet on '1 2 3 4 5 6' (or whatever the number of numbers in your lottery). Once you realize this combination is as probable as any other the chances of winning seem a lot smaller.
I go to work 50/50 by electric car or analog bike. Most of those barrels saved it's me
You're soooo behind the schedule. That was the anti-EV talking point 5 years ago. You were supposed to move to 'but did they factor in the battery production??' (which they do) and now use one of 'but is the grid ready for so many EV?' or 'there are no EVs below $30.000'!!. You're welcome.
Is it still a meme if it's scientifically accurate?
Is it any good?
Each org is different. There are organizations doing agile in a shit way, there are organization that are shit because they don't do agile and there are some that do OK because they take out of agile just what they need. In my first job they would write all the requirements up front, agree the price, sign a contract and then discover crucial functionality was missing. So they could either deliver useless product and piss off the client or do some extra work for free. It was shit. In my next company everything was nicely divided into sprints but the process was so overgrown working there was super boring and most project didn't even finish, they just got cancelled somewhere in the middle. My current company mostly lets teams organize themselves and is using agile to monitor progress and react if something gets delayed. It's mostly fine. Agile is not the problem and it's not a universal fix. You simply have to be smart about which or it to use and how.
I would like to have the imagination that would let me come up with schemes like that. It would never occur to me to make money off of gun violence. American capitalist are something else...
LLMs don't sort or organize data. Machine learning can do it but LLMs specifically only generate text. I think that's the whole point. People confuse machine learning with LLMs. Machine learning can do amazing things in many industries. Companies creating dedicated products using machine learning can make money. LLMs themselves can do very little and huge valuations of companies like OpenAI don't make much sense.
The thing is, the protections writers won only protected them when working WITH AI. I.e. companies can't hire unionized writers and pay them less because they are using AI. If they can skip the writers all together all those protections go out the window.
I'm not saying this will happen soon or at all. I'm just saying that if the models become capable or generating screen ready material the protections writers won won't matter anymore.
IMHO this comes down to how those features are sold and explained to drivers:
if Tesla expects drivers to read through the manual and understand how FSD and autopilot work in order to use them safely it's on Tesla. People simply don't do it (not for Tesla or any other cars) and you have to make sure your features are intuitive and easy to understand. If they are not you're doing it wrong
if this is explained clearly to people when they buy the car, there are warning messages and clear instructions and people still use them wrong it's on the drivers. There will always be stupid drivers, you should not disable new features just because 1% of drivers are too stupid to use them.