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The difference is that it has the same aspect ratio folded and unfolded. If you look at other folding phones the inside screen is twice the area, but the shape of the phone is different. 1 : sqrt(2) is the only ratio where you can fold one side in half and the ratio stays 1:sqrt(2). Any other ratio of sides and the inside and outside have different ratios. Therefore, things have to move around, or scale.


It's mathematically the only aspect ratio where this holds and thus you can resize in half and nothing has to move around.


An M5 pro max with 128gb of RAM is $5200 so I’d expect some kind of price in that range.

I imagine it’s for AI researchers, professionals who work with models. Software engineers who want local models instead of cloud models.

To be honest, I don’t think it’ll be very popular with those demographics. But I think a company like Microsoft investing in local AI is a good thing.


Look to be disappointed Microsoft is all in on Copilot AI after having spent billions of dollars. It is boom or bust for Satya Nadella.


I just tested on my 4k display and 150% and 175% were not blurry at all. I'm on a 32 inch 4k monitor. Is it possible this information is out of date and was fixed by more recent versions of macos?


Absolutely not fixed. Try to look on black text on white background. Its not very obvious but still a little annoying


Interesting, maybe it just doesn't bother me, because I do not notice it at all. I was looking at black text on a white background. Maybe it's less of an impact on Q-OLEDs with their pixel layout perhaps? I just checked and I actually run my ultra-wide monitor at 125% resolution and the text looks crisp. That one is a regular LED display but it does have really high pixel density (5120 x 2160, I run it at 3360x1418)


Many newer Windows laptops are now having their ability to update ram and storage removed as well. I believe the newest intel architecture introduced this, but my information might be out of date.


LPCAMM2 is more present on business/high end machines unfortunately. It's not an Intel restriction.


There are Intel CPUs which come with bundled RAM. For example Intel Core Ultra 5 238V. It's like SoM: RAM is mounted directly on the CPU package, not even soldered on the motherboard. I'm not sure what particular advantages does that bring over traditional packaging, maybe shorter wires to allow for faster turnarounds between CPU and RAM. But there's zero chance of upgrading or replacing RAM for sure.


> I'm not sure what particular advantages does that bring over traditional packaging

Massive increase in bandwidth, which is useful for e.g. running local LLMs.


In theory, but that is not the case with Lunar Lake, which nowadays does not have a greater bandwidth than the current CPUs with external LPDDR memory.

However, at launch, a year and a half ago, it had a bandwidth about 15% higher than competing CPUs.

For a really "massive increase in bandwidth", it would have needed a wider memory interface, like AMD Ryzen Max, which has a 256-bit memory interface, instead of the 128-bit memory interface of most Intel/AMD laptop CPUs.


Yes, totally. By introduced I didn't mean they were the first in the space but rather they have introduced it to the laptops they're shipping now. But yes, it's been a thing for awhile on other architectures as well.


I was working on a similar project. I wanted a way to goldfish my decks against many kinds of decks in a pod. It would never be perfect, but enough to get an idea of: 1. How many turns did it take on average to hit 2,3,4,5,6 mana 2. How many threats did I remove? 3. How often did I not have enough card draw to keep my hand full?

I don't think there's a perfect way to do this, but I think trying to play 100 games with a deck and getting basic info like this would be super valuable.


Have your LLM write a simulation of the deck rather so it can play 10,000 games in a second. I think that is a lot better for gold fishing and not nearly as expensive :)

https://github.com/spullara/mtg-reanimator

I have also tried evaluating LLMs for playing the game and have found them to be really terrible at it, even the SoTA ones. They would probably be a lot better inside an environment where the rules are enforced strictly like MTG Arena rather than them having to understand the rules and play correctly on their own. The 3rd LLM acting as judge helps but even it is wrong a lot of the time.

https://github.com/spullara/mtgeval


Yeah, that's why I'm using XMage for my project - it has real rules enforcement.


I was really hoping they could play the game like a human does. Sadly they aren't that close :)


XMage has non-LLM-based built in AIs, just using regular old if-then logic. Getting them to play against each other with no human interaction is the first thing I built. https://www.youtube.com/watch?v=a1W5VmbpwmY is an example with two of those guys plus Sleepy and Potato no-op players - they do a fine job with straightforward decks.

You could clone mage-bench https://github.com/GregorStocks/mage-bench and add a new config like https://github.com/GregorStocks/mage-bench/blob/master/confi... pointing at the deck you want to test, and then do `make run CONFIG=my-config`. The logs will get dumped in ~/.mage-bench/logs and you can do analysis on them after the fact with Python or whatever. https://github.com/GregorStocks/mage-bench/tree/master/scrip... has various examples of varying quality levels.

You could also use LLMs, just passing a different `type` in the config file. But then you'd be spending real money for slower gameplay and probably-worse results.


This is super helpful, thank you!


It's not a stupid question, but here is the TC39 proposal to add type declarations to JS: https://github.com/tc39/proposal-type-annotations


Yes, Sam A said that "erotica" was coming to openAI. I don't think he's mentioned visual pornography though https://www.axios.com/2025/10/14/openai-chatgpt-erotica-ment...


I think it’s a really cool product. I would happily own one. The problem I have with it is that $400 is a LOT for a chef knife. A great knife and an awesome sharpener can be easily had for $150, or $250 if you get a top of the line sharpener. That knife will last you a lifetime. How long will this knife last? What happens when the battery runs out of lifespan. What about when the motor dies? If this was closer to $250, I’d be much more likely to buy it.


I am like you, but my concern with this knife is lifespan. My Japanese knives will last a lifetime. This knife has no warranty that I could find, but how long do we expect it to live? If it’s 10 years or so, I could be happy with it.


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