May be your cafeteria was doing offline processing, while other were doing it online?

But even offline there are huge differences, say Visa / Mastercard EMV and Suicia's Felica in Japan, where the whole transaction finish in 150ms.

There were previously some work where they try to get it down to 50ms, I don't know if they are still working on it or has abandoned it.

>- LCEVC track muxing support in MP4 muxer

I guess I am the only one excited to see this.

>It’s like claiming that a company that goes from making $1 to $1k to $100k to $1mm in a 4 year period has decelerating growth.

Because it is decelerating growth. There is a reason why we use YoY percentage in annual and financial reporting.

>when a 1t param model runs off a $200 SSD instead of a $50k rack of Nvidia chips.

I am 100% sure this won't happen in 10 years time. At least not on a $200 SSD. But I wouldn't be surprised if it ran on $1K to $2K HBF SSD. It will still be better than a $50K Rack.

Again. We need a storage medium that is reliable, has roughly 200GB of capacity, small in size, relatively affordable to press.

Otherwise, there is only one option left, make it illegal to do certain things and ensure the ownership belongs to customers.

I was just talking about I have high hopes for John Ternus yesterday [1] and today we have great news. Laura Legros is good!

There was another guy from supply chain and operations that got canceled due to some silly remarks filmed on TikTok. And a few others who left that team after that. I wonder if this was the reason that contributed to Apple's current struggle in getting DRAM capacity and pricing allocated. But it would be great to have them back as well.

Scott Forstall joined the Apple anniversary party. I hope that is a sign for things to come.

[1] https://news.ycombinator.com/item?id=49151180

I was hoping for some benchmarks. Performance of CPU Core in the past 30 years.

Same. This chart is good, but would be a lot more interesting if it went back further: https://www.cpubenchmark.net/year-on-year.html

I am wondering if anyone on HN is familiar or an expert on Material Science and offer any insight or educated guess as to why acquire this company,

Edit: 9to5mac has a piece on it but it is still not convincing. It is like acquiring a 3D Modelling Software for yourself only and close it down because you think it has a strategic advantage.

https://9to5mac.com/2026/08/03/apples-latest-acquisition-mak...

I think the Github link [1] does a much better job at explaining what it is.

[1] https://github.com/octanejs/octane

For those of us who don't have the time to follow closely, Qwen3.6-27B being Open Source and Open Weight, what level is this compared to other Western paid version?

Just so that we know what 3.8 would be like.

I currently have about 150 Tabs of Antirez posting on AI and running local model I haven't had the time to read. And there are probably some prerequisite reading or other research in between as well. I just wish there are some very high level overview and news coverage on all these.

> what level is this compared to other Western paid version?

IMHO this is a difficult question to answer. Part of the power of paid models comes from the software supporting it. With local models, you have tons of workflows that can severely influence the quality of the result.

In my personal experience, the SOTA models are way more consistent and can handle more complex questions. Part of that is (probably) because I don't let my local model access the internet, while paid models do use the internet to look at docs etc.

You absolutely need to let models access the Internet if you want consistently good results. Pretty much any non-trivial task requires the model to do things like look up APIs, code examples, or existing discussions of a given topic.

You don't really need the Internet. Tons of documentation is available for download (either as a zip, or with the documentation site as its own git repo). Wikipedia is available for download. You can get reddit dumps, HN dumps, stack exchange dumps, etc. This can all easily fit on one hard drive.

Reading the actual code is also always a better source of truth than docs anyway (this is true for people and LLMs). Just clone whatever libraries you use.