AV1 has the CfL (chroma from luma) prediction tool. h.266 has CCLM (cross component linear model) and AV2 has improved CfL.
When you see the AV2 version, it’s very similar to h.266, which is more advanced than AV1 CfL: they are using filters that cover up to 6 luma pixels to determine the chroma baseline.
The algorithm described in this blog post is pretty close to what AV1 CfL does.
> The algorithm described in this blog post is pretty close to what AV1 CfL does.
This checks out. I've played around with AVIF, and noticed that it kinda traces high contrast edges and smudges the rest. Higher quality settings mean less smudging.
I'm just surprised that my blog post from almost 6 years ago suddenly made it to the HN front page...
That said: only when I need it the same day and it's not too complicated will I use protoboard. Otherwise it's JLCPCB every time, even if it's just a small debug interface board. I recently bought a cheap wire-wrapping tool and that's so much faster than messing around with enamel wire.
The board that is featured in this blog post was the first prototype of a skunkworks design for work that was on the shelves of Best Buy 7 months later. It was started just a week or two before COVID shutdown. I created PCBs soon after. Another month or 2 later and you'd have had a really hard time getting any PCB out of JLCPCB due to the supply chain disruption.
This is just being released now, which probably means its been in the R&D pipeline for the last few years. I would wager this is last gamer feature tech that Nvidia develops for quiter a while.
Similarly, if you have one of those office chairs with a pneumatic shock, dropping down hard on the chair may induce an electromagnetic or ESD pulse that shocks the monitor.
There’s a video on YouTube about this somewhere and we were able to confirm their findings.
> These detectors, as I understand them, often work by measuring two key things: ‘Perplexity’ and ‘burstiness’. Perplexity gauges how predictable a text is. If I start a sentence, "The cat sat on the...", your brain, and the AI, will predict the word "floor."
I can't be the only one who's brain predicted "mat" ?
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