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

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.

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 surprised they didn’t move the automotive BU into MobileEye.

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.

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.

“After discussion between Intel and Canonical’s security teams, we are in agreement that Spectre no longer needs to be mitigated for the GPU at the Compute Runtime level. At this point, Spectre has been mitigated in the kernel, and a clear warning from the Compute Runtime build serves as a notification for those running modified kernels without those patches. For these reasons, we feel that Spectre mitigations in Compute Runtime no longer offer enough security impact to justify the current performance tradeoff.”

Seems like the Spectre mitigations were applied for GPU compute as well.

1 to 5 percentage points is not great, but in and around the margin of error. 20% is a huge performance delta.

While it’s true that in an industry like semiconductors multi-year end to end product cycles make it difficult to make radical changes. I am still not convinced Lip-Bu Tan will be a positive force since he seems to emphasizing generic business communication polemics.

One example would his statement about only working on projects that offer 50% gross margins. That’s great and all, but a company in Intel’s position and with competition like TSMC is going to find that challenging.

Circle of life. I am guessing it will be 22-23 years or so.

I missed the 7000 series. Went with 6600 GT when I was building a new PC in early 2005.

The PowerVia does sound cool and 18A is allegedly a big step for Intel.

That being said I don’t trust Lip-Bu Tan to deliver. It sounds like he is more focused on “leverging AI to improve costs in marketing” than delivering new semiconductors.

I could be wrong though.