I was at Costco three days ago and the books for sale table which, in years past, spanned much of an aisle, is now down to about a 5x3 ft table offering nothing to my interest.
I learned Director (and Authorware) a little in school. But by the time I graduated, Flash was the standout, and I specialized in it for almost a decade.
I did an odd interactive media course in college - not CS but lots of programming in various languages.
I loved Director and used it for many assignments. Made so many CD-ROMs, even 3d games using Shockwave and models we'd make in 3DS Max.
It was fun graduating and trying to get a job in 2003! Realising CD ROMs were becoming a thing of the past and having to immediately teach myself HTML and Flash.
On reflection it set the tone for the 20+ years of continuous learning and language swapping!
Probably not at those sizes. The company has been around for a long time with products that appear to fill a need, particularly with livestock cooling. Their fans are designed to move a high volume of air at a low fan speed. The ones I have seen in person around here in warehouses and manufacturing shops are very quiet. And very big.
Really? A comment in another thread says Pangram says it's 100% AI. I just checked with the free plan, and it told me 29% AI. What I'm learning here is that Pangram may not be a reliable checker.
Thing is, I also twigged it as heavily LLM written when I read it, so. ¯\_(ツ)_/¯
I checked again with a longer sample—the first eight paragraphs—and, this time, Pangram said 61% human. Hmm. I think your twigging may be more accurate.
It is pretty neat and several resources online explaining it but it chunks the recoding and does a hash of the fft of each frame i think which reduces the data a lot. The server has a pre hashed database https://hackernoon.com/how-shazam-works-in-a-nutshell
TV shows are completed and in the can well before air date. It is entirely plausible that the interested party in having the content identifiable by Shazam like services submit whatever needs to be submitted for new content
I have also wondered about the possibility of media emitting some kind of hidden identifier. Can normal speakers emit noise outside of human hearing that could contain a unique id? Would not even need to be a lot of data that could be broadcast.
Yes, it's possible. Some sports broadcasts do this. The ones I'm familiar with use a high pitched tone on the edge of human hearing but still audible to most people.
Streaming services watermark the video as opposed to the audio as I understand it.
But that's for tracing pirated content back to the originating user account. It's not particularly useful (also entirely unnecessary and overly complicated) if your goal is to ID a piece of content as opposed to an account.
That's not necessary. If a service has access to the raw audio of a show, it can fingerprint each second of that audio in a way that can be matched in a tiny amount of computation even for a recording in a noisy environment.
That can't recognize what you say. But, it can ID where you are in a specific show out of zillions of hours of shows.
I know a guy who made a Shazam-like phone app that can listen to a few seconds of noisy audio and make a fingerprint that can be used to quickly ID those specific few seconds out of a pre-fingerprinted archive of an enormous amount of audio (zillions of hours of TV). Making the fingerprint requires a tiny amount of very smart code (in C with no dependencies). But, the fingerprint is not useful for understanding audio that's not in the archive.
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