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.

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.

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).

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.

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.

Just read up more about the systems and always thought they charged you more, didn’t realize that for the time being they are zero interest loans.

Seems unsustainable, but sounds like they’re using the credit card technique of charing the storefront. It’ll be interesting to see where the bnpl industry goes.

Why be the bad guy when you can just enable them.

Yeah I was really disappointed when I heard it was a cloud solution. I think it’s due to complexity of python runtime environments, but I doubt msoft minds the opportunity to take more control.

My biggest issue with it is that it runs everything in the cloud. So you’re shipping your data to Microsoft and have latency to run anything. Seems insecure and added complexity to get a bit more out of excel.

Am I an idiot or isn’t the “pip vs conda vs poetry” line talking about package management?

I mean I can list a lot of things AI (and I’ll limit it to Transformers, the advancement that drives LLMs) has enabled:

• Audio Transcription
• Greatly improved language translation
• Improved computer vision, in some situations
• Combined with diffusion models has enabled targeted image generation, which we already know is being used in media and ads.

AI isn’t a scam, but it’s being oversold and it’s limitations are being purposefully hidden. That being said, it is changing how things are done and that’s not going to stop. We’re still seeing impacts from CNNs, one of the major AI/ML breakthroughs from over a decade ago, make impacts.

What was so obvious in that instance was the board members trying to push him out were calling out the lack of openness OpenAI was trending towards. They were literally calling him out for not upholding the vision of why the company was founded.

All the engineers clearly saw their payday slipping away and revolted for that reason. Can’t say I blame them, but it was a scenario where the board was actually doing the right thing and everyone turned on them for profit.

Originally all their work was supposed to be published and shared with the world, hence the “open” in OpenAI. However somewhere along the way they made a for-profit break off of the original company and started pulling everything in that direction.

Yeah, nothing like overinflating the value of things to make your 12k retro console emulator bust sound impressive. Pretty sure stopping a single shipping container from China would find more contraband.

That’s not entirely true, the idea of specialized jobs being paid more is due to the fact the worker had to invest time or money into the skill. The point being made is that a low skilled job generally shouldn’t be paid more than a skilled job, due to education/training costs.

That’s the arguement being made, and drawing attention to the fact that Boeing could lose generations of techs to other careers (forever) if they don’t act now. Because once someone moves away from the field, it’s hard (time and money) to bring them back.

Exactly what I came to comment on. Got a TV that’s half way off the wall and a ps5 hiding on the stairs just ready to take someone out.

This is what I was going to say.

• If they’re a dev WSL is a godsend for development.
• If they are looking to move away from windows, dual boot or live cd/thumb drive are good ways to test things out.

I’m calling bs, the first post had 3 triangles and this one has 6.

This guy is lying to us!!!