I'm not sure if the copy is also AI generated but I felt the same as the other commenter when reading it, although maybe I was influenced by the looks.
I suppose they can advertise a 0.9x Wh battery and include a 1x Wh battery instead, which is fine for me. If the battery is going to degrade hard just give me one that only reaches 90% max.
That's a matter of changing a law, it's all up to the people and their representatives. We talk as if everything is set on stone but if there really is a will, there is a way.
Looks like they are trying to correct course now, but they’ve already lost the trust, and with the new lower limits, it’s probably not worth using it in OpenClaw
I remember my father showing me one of those articles when I was a kid about a postal stamp size, thin and lightweight new memory system. I remember we were as doubtful then as you are now. A few years later I remember that moment while switching the micro SD card of a camera… Sometimes this breakthroughs turns out to be exactly as they are told
Building a C compiler is definitely hard for humans, but I don’t think it’s particularly strong evidence of "intelligence" from an LLM. It’s a very well understood, heavily documented problem with lots of existing implementations and explanations in the training data.
These kinds of tasks are relatively easy for LLMs, they’re operating in a solved design space and recombining known patterns. It looks impressive to us because writing a compiler from scratch is difficult and time consuming for a human, not because of the problem itself.
That doesn’t mean LLMs aren’t useful, even if progress plateaued tomorrow, they’d still be very valuable tools. But building yet another C compiler or browser isn’t that compelling as a benchmark. The industry keeps making claims about reasoning and general intelligence, but I’d expect to see systems producing genuinely new approaches or clearly better solutions, not just derivations of existing OSS.
Instead of copying a big project, I'd be more impressed if they could innovate in a small one.
The point of benchmarking that is checking for hallucinations and overfitting. Does the model actually check the picture to count the legs or does it just see it's a dog and answer four because it knows dogs usually has four legs?
It's a perfectly valid benchmark and very telling.
I've noticed my iPhone get hot the most while using the camera. Especially while taking video, but after a few photos it gets hot as well. I was on vacations last week in a tropical country and took a lot of photos with my 16 Pro and it gets so hot after just a few photos that it starts lagging A LOT due to the throttling.
I'm sure this is handy for LLM usage, but this was a problem before those were a thing I'd say.
The first line of the articles says "seven-millionths of a second", which would be 1/7μs or 0,14μs. They also mention that the camera shot 16 frames in that period, so that would be once every 0,00875μs or once every 8,75ns
Youtubers are a couple of magnitudes away from that, AFAIK
Spain, Portugal, Italy and other southern European countries have very wide spread AC usage.