Lwrless

It's cool! Recently I built a space explorer-like WebGPU project inspired by Space Engine the game, and your implementation runs smooth with rich visuals, that's far superior to mine.

I do find it sometimes hard to navigate and has some visual glitches, but man it is good. I hope one day it becomes my go-to for space exploring, since Space Engine is Windows only and it does not run on my Mac. And building the space must be a huge amount of work, there's so much that has to go into it.

I found some on Reddit, and here are the two benchmark results from review sites: - against a desktop 5090: https://nanoreview.net/en/gpu-compare/geforce-rtx-5090-vs-ap... - against a laptop 5090: https://nanoreview.net/en/gpu-compare/geforce-rtx-5090-mobil...

With larger (also really fast) unified memory on the chip, it could easily load larger weights, and the thing is that the quantized results on the M5s are really good, I believe that for most local inferencing, users would be using INT4 (maybe more bits per weight sometimes) quantized models, that might be where the Neural Accelerators kick in. In raw power, a desktop 5090 easily outperforms the M5 Max, but for this specific use case, I believe that the M5 Max is good enough.

Thank you, found some benchmarks and they look really promising. To my understanding those Neural Accelerators are like AMX but for GPUs. With those accelerators the GPU performance on a M5 Max in LLM inferencing would totally be on par with a 5090, that's quite impressive!

The "4x AI performance" smells suspicious to me, M5 Pro does have slightly higher memory bandwidth than the M4 Pro, but there are also the new Neural Accelerators in the GPU cores, I've always wondered what they actually do, since the SoC has AMX (Apple Matrix Coprocessor) since the original M1 chip era.

So is this performance gain probably due to the new Neural Accelerators?

I have to say, this looks really well designed and easy to use, I want one! But why Asus? I really want to know how they landed on this.

Those resets and the removal of the 5-hour usage limit are quietly anchoring me to a much higher usage baseline. I've stopped rationing and just spawn a bunch of agents to work at whatever pace I want, because there always seem to be more resets on the way (at least true for the last week). And now I am actually worried about that if one day they just stop doing so, my "normal" workflow will suddenly exceed the limit, and upgrading will feel like a step backwards.

Full disclosure: I work at Phi.

For context, Phi is an AI-powered Chromium browser for macOS. I think many people here may not be familiar with it. The closest reference point is probably Arc, although Phi's goal is slightly different: a browser that you and your agents can both use.

The main changes in version 2.0 are Spaces for organizing tabs and fully sandboxed Profiles, which keep cookies and sessions separate. In practice, that means things like multiple Google logins no longer collide. URL rules can also ensure that specific sites open in the correct space/profile.

The assistant now has whole-browser context, and the guardrail for removing sensitive data runs locally on your Mac instead of on a server. I recently worked on optimizing the local model path on the Apple Neural Engine because it seemed wasteful to leave that hardware unused.

I am also experimenting with a new memory visualization system (we call it Nebula). Rather than displaying browser memory as a list or force graph, it presents it as a spatial surface that you can explore over time. This feature is still evolving, but it has been interesting to work on.

Next, we want to enable agents such as Claude Code or Codex to control your actual browser window rather than a separate headless Chrome instance.

I'm happy to dig into any of this.

Got myself the $20 subscription and tried it out. The 5-hour limit runs out surprisingly fast. Quality is okay but it feels slow, and even with my $20 Claude subscription on Fable, the credit usage ends up being lower. Fable usually catches issues in my Opus 4.8-generated code that I'd miss otherwise, but Fugu didn't. Makes me wonder if it's really at the Fable level. Hard to see the value here.

I use my Flipper Zero weekly (or more frequent). This new model feels much more powerful than the ones based on RPi Zero as a handheld device. I like how they managed to include two RJ45 ports and a USB-A port for connectivity. However, it's still too bulky for me. Perhaps when I get one, I'll try carrying it around all day to see how it goes. There's also a nano SIM slot. With the two Ethernet ports, it's perfect for use as a mobile router. This use case alone is good enough for me.

For such a powerful device, I think the lack of a QWERTY keyboard and the inherited orange backlit monochrome display are two of its shortcomings. I don't want to carry a keyboard or screen with me, I want it to be able to take more human input/output without accessories.

For those interested in hackable, handheld Linux devices, the M5Stack Cardputer Zero is also worth a look. It will launch on Kickstarter soon, and I have reserved an early bird spot.

I'm curious what this means for ChromiumOS and downstreams like FydeOS.

If Google is now pushing this "intelligence‑first" desktop experience, how much of that work is likely to stay in the proprietary ChromeOS/Googlebook layer vs. land in upstream ChromiumOS?

And after getting 10Gbps working at home I was getting greedy, and looked at InfiniBand as well, 40Gbps and proper RDMA is very tempting compared to Ethernet. The catch for me was the practical side: IB needs PCIe slots and those chunky, inflexible cables. With most of my stuff being laptops, mini PCs and Macs, I just couldn’t see a clean way to route those or even plug cards in everywhere, so in the end the "door-frame‑friendly" skinny SFP+ fiber still won out for this apartment.

I went a slightly different route. My switches are linked with 10Gbps SFP+ across the apartment, but it was way too late (and too much hassle) to pull proper in-wall fiber. Instead I used one of those ultra-thin (around 0.1mm), unshielded fiber cables, and just snaked it through door frames and taped it along the walls. I'm genuinely impressed this stuff exists, it makes retrofitting fiber into a finished space so much less painful.

Most of my edge devices are still on 2.5GbE though, and I'm increasingly aware that for anything with plain SATA disks, the drives are the real bottleneck. Once I LAG'd 2×2.5GbE to get a 5Gbps pipe, it became obvious the network wasn't the slow part anymore in a lot of cases.

And yeah, the 10GbE SFP+ modules run hot, so hot that I would not lay my fingers on them for more than 2 seconds. I stuck 2 copper heatsinks on my module, not sure they do much but the module runs smoothly. Even so, I'm pretty happy with the overall setup: from my 10GbE-equipped Mac I can saturate multiple machines at once and I no longer think about the network most of the time, which was the goal.