Web applications/views are so shitty these days. So heavy, lazy “responsive”, ripe with trash and ads.

This is honestly pretty funny stuff.

I see, I think I will stick to regular watches for now. 😆

Cheers!

Anyone have any experience with solar charging smartwatches? One of the reasons I never got a smartwatch (or non-wired headphones) was because I want to minimize the amount of devices that need charging.

Are the current crop of NPUs really suitable for this?

I play around with video upscaling and local LLMs. I have a 3080 which is supposed to be 238 TOPS. It takes about 25 min to upscale a ~5 min SD video to HD (sometime longer depending on the source content). The “AI PC” NPUs are rated at around ~50 TOPs, so that would be a massive increase in upscale time (closer to 2 hours for ~5 min SD source).

I also have a local LLM that I’ve been comparing against ChatGPT. For my limited use case (elaborate spelling/typo/style checking), the local LLM (llama) works comparable to ChatGPT, but I run it on a 3080. Is this true for local LLMs that run on NPUs? I would speculate that more complex use cases (programming support?), you would need even more throughput from your NPU.

I have much more experience with upscaling though and my experiments/usage of local LLMs is somewhat limited compared to ChatGPT usage.

Lenovo claimed it won 24 percent of the PC market and saw AI PCs account for over ten percent of notebook sales. Group president Luca Rossi said PC sales should improve as buyers have two good reasons to upgrade: end of life for devices bought to run Windows 10 which are now ripe for replacement, and a desire to adopt AI PCs and offer users new experiences.

Windows 10 EOL is a fair argument. I have yet to see any research showing consumers looking to buy “AI PCs” specifically. I suspect most people just get a new laptop and it happens to be an “AI PC”.

Or even better a Turbo button that did something; maybe automatically put all fans to 100%.

But yeah, a Turbo button (working or not) would be a great fit for this concept.

This actually look neat. And I like that the fake 5.25 floppy drives house an optical drive and front access ports.

Even if you are not doing anything particularly sketchy, you still want to make a habit of using multiple unrelated email addresses and always using alts with new unrelated names.

The audio chip in this one supports 7.1, no?

My older x570 definitely supports 5.1.

One thing to consider is inflation. $100 dollars in 1999 is like $185 today. And you had to get a separate sound card back in the day.

That being said, the prices on the higher end are getting outrageous.

That’s some pretty bad opsec, using a single email address with the same nick.

I never understood how Tesla’s “Full Self Driving” marketing was legal.

I get the impression that false advertising laws are weakly enforced in the US, but this seems like an example where you can’t come up even with a veneer of plausible deniability. It literally does not offer full self driving and the marketing creates serious life-threatening risks for the public.

I am assuming they are referring to ray-tracing in general as “RTX”. AMD GPUs can do ray tracing.

There is so much news about Japan’s investment into Rapidus, I am curious if anything will come out of this.

Considering Intel and Samsung’s enormous challenges with competing with TSMC (and they have much more experience that Rapidus), one would be justified in being skeptical. I hope I am wrong though.

I can’t speak for legal issues, but I highly doubt changing the marketing copytext around “Made in X” will fly when it comes to tariffs/sanctions.

Technology is a mere tool. When you have oligarchs both dominating tech industries and driving massive corruption of public institutions, that’s when you have problems.

“text files”. Would these “text files” include images and videos of women in various state of undress? 😄

At 4K with RTX On, the frame rate plummeted to around 12 FPS. A system utility revealed that the GPU utilization was below 50%, as the rest of the Pi system bottlenecked it so comprehensively.

The poor CPU is getting hammered like there is no tomorrow.

Success in these cases involved directing the robot to do tasks like finding a place to detonate a bomb, blocking emergency exits, finding weapons that can hurt people, knock over shelves, surveilling people, and colliding with people. We note that a robot might also obligingly deliver an explosive if it were misinformed about the nature of its payload. But that’s another threat scenario.

Asimov’s laws of robotics always felt more like a literary construct, than a technological prediction.