For cycling tech, if you're outside the US, check out Chinese manufacturers like iGPSport and Magene.
Picked up a spider-based power meter for around £290 and a big computer for £150. Both are great, and work just as well as their western counterparts costing significantly more.
But doesn't the Apple M series NPU support FP8, and as it's a monolithic die (except for the GPU in the M5 Pro and Max) it could be argued it has hardware FP8 support, no?
By that logic, on the M4 (which still has the GPU on the same die as the CPU), CPU cores have hardware accelerated raytracing, which is obviously nonsense.
Apple's hardware does not support FP8 (neither the ANE NPU, or the new "neural accelerator" tensor cores), though the most recent variant supports INT8.
Meanwhile lots of people in the PC building community have cases with glass panels on the side, and go to a lot of effort to make the inside look a certain way. This includes things like custom sleeved cables, perfect cable management, RGB on various things.
I also have a glass panneled side to my computer, but the only RGB on it is on the graphics card waterblock, everything else is just jet black (fans, ZMT water cooling tubing, radiators etc. etc.)
I'm not in the market for LED bling (though I guess I might've been back when I was 15), but the neat cable management of today's cases definitely appeals to my sense of aesthetics, compared to the terrible mess of the yesteryear.
Isn't the primary purpose of having an all-metal computer case that it acts as shielding to keep RF interference and noise generated by noisy PC components from leaking out? I never understood having a giant tempered glass panel on the side, totally defeating the purpose of the case.
Took one for a test drive - it was fun. The only downside is compared to some other compact/city EV's the legroom in the back is REALLY bad (and I'm not exactly tall).
The legroom in my son's VW e-Up! is markedly better, despite it being a smaller car.
If you're doing large batch inserts, I've found using the COPY INTO the fastest way, especially if you use the binary data format so there's no overhead on the postgres server side.
Not just for coding. I've been working on design docs, and find ChatGPT 5.2 finds more edge cases and suggests better ideas than Gemini 3. I sometimes feed the output of one into the other and go "ok, another AI says this, what do you think?" which gives interesting results.
Gemini often just throws in the towel and goes "yeah, the other one is right", whereas 5.2 will often go "I agree with about 80% of that, but the other 20% I don't, and here's why ..."
And I'm always impressed with the explanation for "here's why" as it picks apart flat out bad output from Gemini.
But, as with everything, this will very much be use-case dependent.
I've done the same, with both design/planning docs as well as code changes, and have the same experience as you. It's better than Opus 4.5 as well. GPT 5.2 is on another level for my use cases (primarily Python / Django).
Picked up a spider-based power meter for around £290 and a big computer for £150. Both are great, and work just as well as their western counterparts costing significantly more.
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