m4r1k

it is so depressing even after this many years. Thanks for sharing the video, I forgot about it ..

Through my hong kongese friends, I got pretty active in the 2019 umbrella protest. To me, one of the most impressive image of that era is the Kai Lan Egg japanese-styke manga use to show the world and the CCP what was going on.

https://china-underground.com/2019/10/28/hong-kong-protests-...

brilliant!

As someone who has worked in the Telco/NFV industry for well over 10 years now, I can confidently say this is a breath of fresh air. Don’t get me wrong, DPDK-based tools are great, but setting up Cisco TRex or even basic TestPMD requires a lot of specialized knowledge. Indeed, in the era of LLMs, the barrier to entry is much lower, but hardware requirements remain regardless of whether an AI agent handles the implementation for you. For anybody looking for XDP-supported drivers/NICs -> https://github.com/iovisor/bcc/blob/master/docs/kernel-versi...

Google is indeed collapsing.

dead on arrival.

So no Open-weight .. why one would choose Muse Spark instead of Anthropic, OpenAI, or Google models all featuring from good to amazing harness?

While the analysis is definitely intresting, OP misses completely the point. And worst, this work becomes a joke. OP is not losing $780 because OP, thanks to Anthropic, is making far more money than without it. This does not wanna say that Claude should have current level of uptime, on the countrary, they should improve it but the point OP makes is plain wrong.

I deeply miss Steve Jobs

As a European, this is genuinely alarming. Headlines like this make me feel that NATO is effectively over at best, and that war may be approaching at worst.

`”fundamental disagreement" between the Trump administration and European allies.`

The Peace President Strikes Again.

The Peace President is about to bring war on Venezuela and destabilize the country (and probably with far reaching consequences in the region). Who would have thought?

Wow! As others have said, deal of the century!! As a side note, a few years back, I used to scrape eBay for Intel QS Xeon and quite a few times managed to snag incredible deals, but this is beyond anything anyone has ever achieved!

Palantir is a shit show

I have also bought Crucial for decades. Great quality and reliability for a fair price. Anybody doing anything semi-professional will be impacted by this questionable decision.

Check the specs again. Per chip, TPU 7x has 192GB of HBM3e, whereas the NVIDIA B200 has 186GB.

While the B200 wins on raw FP8 throughput (~9000 vs 4614 TFLOPs), that makes sense given NVIDIA has optimized for the single-chip game for over 20 years. But the bottleneck here isn't the chip—it's the domain size.

NVIDIA's top-tier NVL72 tops out at an NVLink domain of 72 Blackwell GPUs. Meanwhile, Google is connecting 9216 chips at 9.6Tbps to deliver nearly 43 ExaFlops. NVIDIA has the ecosystem (CUDA, community, etc.), but until they can match that interconnect scale, they simply don't compete in this weight class.

Google's real moat isn't the TPU silicon itself—it's not about cooling, individual performance, or hyper-specialization—but rather the massive parallel scale enabled by their OCS interconnects.

To quote The Next Platform: "An Ironwood cluster linked with Google’s absolutely unique optical circuit switch interconnect can bring to bear 9,216 Ironwood TPUs with a combined 1.77 PB of HBM memory... This makes a rackscale Nvidia system based on 144 “Blackwell” GPU chiplets with an aggregate of 20.7 TB of HBM memory look like a joke."

Nvidia may have the superior architecture at the single-chip level, but for large-scale distributed training (and inference) they currently have nothing that rivals Google's optical switching scalability.

yes but most of dude's websites are not loading and some are even without SSL in 2025.. https://imgur.com/a/irWADuq

Dr. Avi has a pretty clear point and he goes into details on the JRE released just yesterday. https://youtu.be/EaAun27gftk

What most stand out is the sheer amount of closed mind people in the accademia, Avi is not afraid of making suggestions of what it might be and even saying “if it turns out of being a rock, so be it”.

Meanwhile, in third-world, overly bureaucratic Italy, one has to wait several months to get all the paperwork in order to take advantage of a solar installation. Self-deployed solutions are also limited to 800 watts, which is peanuts in today's world.

This! And I’d add, it’s the Register–it has always had a very low bar.

As somebody who witnessed a UFO several years ago, I call this BS.

Just curious, why is there no reference to Google?

I'm also an AirGradient user. AirGradient prioritizes accuracy and it's fully OSS. The sensors are fully replaceable; not if but when they eventually lose accuracy. I'd argue that monitoring PM2.5 levels indoors is even more crucial than outdoors. In our home, we have good air recirculation and HEPA filters in every room. Since we began keeping indoor air clean, our spring allergies (and general allergy issues throughout the year) have become much less severe. IMO AirGradient is the best way verify current levels and ultimately ensure the filtration works. https://imgur.com/a/UIkkANL

I wrote about cloud run and inference w/ ollama on cloud run -> https://medium.com/google-cloud/ollama-on-cloud-run-with-gpu...

performance is okay, ada lovelace has cuda 8_9 support which brings native fp8 support. imo the best aspect is the speed of spinning up new containers and the overall easiness of this service. the live demo at google next 25 was quite something https://www.youtube.com/watch?v=PWPvX25R6dM&t=2140s