I also think most people don’t see the market, it’s only got this amount of attention on phones because of the success on steam.

A odd side note, someone was pretty clever and found a way to port the steam version to ios and Android well before the official port - https://retrohandhelds.gg/how-to-install-balatro-on-android-and-ios/. I’ll admit to having used this to play on my phone over the summer, but definitely bought it again once it hit the app store.

If you’re into Metroidvanias “Prince of Persia: Lost Crown” was actually a real surprise hit. I think it’s the first Ubisoft game I’ve played in years.

Thanks for the answer. Sounds like they’re still well within the 72 weeks if I understand that correctly?

As for everyone down voting me, I’m not sure what the issue is. I didn’t say people shouldn’t get sick leave, but that society should be responsible rather than an individual corporation (that also doesn’t mean corporations shouldn’t pay into social services).

A reason for that is that if enough people are on payroll and not working it could end a business. The end result would be business attempting to avoid hiring anyone who could end up on long term sick leave.

It mentions these are people who have been on sick leave for over 9 months. I don’t know how sick leave works in Germany, but isn’t there a point where the leave has effectively turned permanent and the slack should be picked up by social services rather than a private business?

Isn’t that just the difference between weight and mass?

I appreciate the response!

I’ve definitely used tools like LocalStack before and when it works it’s great, but sadly doesn’t usually provide a 1-to-1 replacement.

Seeing your different approaches is helpful and I will have to see what elements I can pull into my current projects!

I assume because it all does tie back to math terms. There is a lot of computer science in which arrays/lists are used for vector arithmetic (graphics, ML, generic math). I suspect only later in the field did arrays mutate into generic lists that you see in R and Python.

Hey OP, it looks like you’re the author of the post? If so I’m curious how you handle cloud services like AWS or Azure when taking this approach? One of the major issues I’ve run into when working with teams is how to test or evaluate against cloud services without creating an entire infrastructure in the cloud for testing.

Just cause the wording is a bit weird in the post qbove, to clarify:

Justice Sotomayor, Justice Kagan, and Justice Jackson would grant the application for stay of execution of sentence of death.

Also “win + - > or <-” to move a tile to left or right side.

Definitely sounds like it could be real. If I had to guess their mounting a drive (or another partition) and it’s defaulting to read only. When restarting it resets the original permissions as they only updated the file permissions, but not the mount configuration.

Also reads like some of my frustrations when first getting into Linux (and the issues I occasionally run into still).

Yeah, that’s what I was thinking. Just need to throw some foil on it and you’ve got a very expensive new buddy.

Anyone have a high level breakdown of what this update contains?

This is just the estimates to train the model, so it’s not accounting for the cost to develop the system for training, collecting the data, etc. This is just pure processing cost, which is staggeringly large numbers.

To be fair casting for both Tilda Swinton as The Ancient One and Johnny Depps as Tonto were both criticized when the movies were released. Probably not to the level Halle Baileys casting was, or by the same people, but both were definitely seen as whitewashing.

Its also likely The Ancient Ones casting got as much attention as it did due to the political nature of the change (seen as to appease China over its history regarding Tibet).

I think you’re missing the point. No LLM can do math, most humans can. No LLM can learn new information, all humans can and do (maybe to varying degrees, but still).

AMD just to clarify by not able to do math. I mean that there is a lack of understanding in how numbers work where combining numbers or values outside of the training data can easily trip them up. Since it’s prediction based, exponents/tri functions/etc. will quickly produce errors when using large values.

Here’s an easy way we’re different, we can learn new things. LLMs are static models, it’s why they mention the cut off dates for learning for OpenAI models.

Another is that LLMs can’t do math. Deep Learning models are limited to their input domain. When asking an LLM to do math outside of its training data, it’s almost guaranteed to fail.

Yes, they are very impressive models, but they’re a long way from AGI.

LLMs do suck at math, if you look into it, the o1 models actually escape the LLM output and write a python function to calculate the output, I’ve been able to break their math functions by asking for functions that use math not in the standard Python library.

I know someone also wrote a wolfram integration to help solve LLMs math problems.

Even if we ignore the fact it is talking about emission goals, but the metrics are in celcius. A good graphic would include an indication that they’re meeting their goals. Either having two groupings or an additional column to provide a quick way to see that information.

Not sure if you’re serious, but they were making a joke because Intel, who makes chips, is a competitor to TMSC the chip manufacturer from the article.

So they played on that relationship by treating the word Intel in your “thanks for the Intel” comment as meaning the company.