The article outlines why this is likely to impact Windows as well.

While I think this is cool, I didn’t really see any explanation of what their products will be. Retro computers for gaming? A new Amiga computer? A Linux derived platform running on their own hardware?

I hope you are right, but I prefer to take a more cautious worldview.

I’ve been using it since 2017, it’s an excellent headless SBC operating system.

Their command line utilities are top notch and they have excellent support and development cadence.

I wouldn’t be so optimistic, while we are not seeing a real return on the massive capital and operational investments into ML services, it still has enormous mind share, especially among executive types and hustler/scammer types.

I’ve only used it as a search engine for finding public data sources and general business research.

The search result summaries and search results categorization style is helpful.

For this use case it works much better than ChatGPT and Le Chat.

They are likely going to keep trying. All the hyperscalers and ML companies hate giving Nvidia so much money.

It depends on the use case though. Not all workloads benefit from lots of slow cores. And both Intel and AMD have comparable solutions (Intel’s E-core only server CPUs and AMD’s Zen 5C Epic server CPUs).

I could have been more clear, but it wasn’t my intention to imply that this particular case is the turning point.

I am one of those people that has always used Firefox on Android. Had to use Chrome mobile a little while ago and the top address bar placement was so uncomfortable.

I am not a lawyer. I am talking about reality.

What does an LLM application (or training processes associated with an LLM application) have to do with the concept of learning? Where is the learning happening? Who is doing the learning?

Who is stopping the individuals at the LLM company from learning or analysing a given book?

From my experience living in the US, this is pretty standard American-style corruption. Lots of pomp and bombast and roleplay of sorts, but the outcome is no different from any other country that is in deep need of judicial and anti-corruotion reform.

Consumers in Beijing and Shanghai are now entitled to discounts of up to 2,000 yuan (US$278) on select models of Apple devices – including the iPhone, iPad, Apple Watch and MacBook – when they buy directly from the US company, according to a statement published on Tuesday on Apple’s mainland Chinese website.

That’s a crazy government subsidy. There must be some grey-market trade going on with get the devices to buyer outside of Beijing and Shanghai.

I will admit this is not a simple case. That being said, if you’ve lived in the US (and are aware of local mores), but you’re not American. you will have a different perspective on the US judicial system.

How is right to learn even relevant here? An LLM by definition cannot learn.

Where did I say analyzing a text should be restricted?

The x50 and x60 series are trash if you look real world prices (it’s worse where I live, but to my understanding it’s a global issue).

If you have a mid-2010s era CPU (and your finances are flexible), it’s probably a good idea to get a new CPU as well.

And this is how you know that the American legal system should not be trusted.

Mind you I am not saying this an easy case, it’s not. But the framing that piracy is wrong but ML training for profit is not wrong is clearly based on oligarch interests and demands.

I am aware of the 5060, it’s a more morbid curiosity if you will.

Curious to see real world benchmarks for the 5050 and 5050 mobile.

There have been so many variations of “[Google brand] + TV” that I had to look up what this particular business unit actually does.

Lo and behold I see this message on Wikipedia:

Not to be confused with Google TV (interface), Google TV (service), or Android TV. For other uses, see Google TV (disambiguation).

It would make no difference at all.

While US export controls have effectively blacklisted many Chinese chip designers and fabs from doing business with the likes of TSMC or lithography linchpin ASML, exemptions have been granted for many legacy nodes and memory technologies.

These exemptions have enabled TSMC as well as South Korean memory vendors Samsung and SK Hynix to continue operating facilities in China.

I hope the US administration will not go through with targeting “legacy” foreign semiconductor production facilities in China. I am going to speculate that this will have an impact beyond local Asia-Pacific markets.