The semantic web is now widely adopted
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The semantic web is now widely adopted
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Re: The semantic web is now widely adopted
#2In all honesty, llms are probably going to make all this entirely redundant.
As such semantic web was not a natural follower to what we had before, and not web 3.0.
Re: The semantic web is now widely adopted
#3In all honesty, llms are probably going to make all this entirely redundant. As such semantic web was not a natural follower to what we had before, and not web 3.0.
Have you read the article? It addresses this point towards the end.
Re: The semantic web is now widely adopted
#4In all honesty, llms are probably going to make all this entirely redundant. As such semantic web was not a natural follower to what we had before, and not web 3.0.
The article addresses this point with the following:
> It would of course be possible to sic Chatty-Jeeps on the raw markup and have it extract all of this stuff automatically. But there are some good reasons why not. > > The first is that large language models (LLMs) routinely get stuff wrong. If you want bots to get it right, provide the metadata to ensure that they do. > > The second is that requiring an LLM to read the web is throughly disproportionate and exclusionary. Everyone parsing the web would need to be paying for pricy GPU time to parse out the meaning of the web. It would feel bizarre if "technological progress" meant that fat GPUs were required for computers to read web pages.
Re: The semantic web is now widely adopted
#5In all honesty, llms are probably going to make all this entirely redundant. As such semantic web was not a natural follower to what we had before, and not web 3.0.
It's HN, most people don't read the article and jump into whatever conclusion they have at the moment despite not being an expert in the field.
Re: The semantic web is now widely adopted
#6[dead]
Re: The semantic web is now widely adopted
#7In all honesty, llms are probably going to make all this entirely redundant. As such semantic web was not a natural follower to what we had before, and not web 3.0.
It's HN, most people don't read the article and jump into whatever conclusion they have at the moment despite not being an expert in the field.
He had it summarized by chatgpt
Re: The semantic web is now widely adopted
#8The author gives two reasons why AI won't replace the need for metadata:
1: LLMs "routinely get stuff wrong"
2: "pricy GPU time"
1: I make a lot of tests on how well LLMs get categorization and data extraction right or wrong for my Product Chart (https://www.productchart.com) project. And they get pretty hard stuff right 99% of the time already. This will only improve.
2: Loading the frontpage of Reddit takes hundreds of http requests, parses megabytes of text, image and JavaScript code. In the past, this would have been seen as an impossible task to just show some links to articles. In the near future, nobody will see passing a text through an LLM as a noteworthy amount of compute anymore.
Re: The semantic web is now widely adopted
#9> Before JSON-LD there was a nest of other, more XMLy, standards emitted by the various web steering groups. These actually have very, very deep support in many places (for example in library and archival systems) but on the open web they are not a goer.
If archival systems and library's are using XML, wouldn't it be preferable to follow their lead and whatever standards they are using? Since they are the ones who are going to use this stuff most, most likely.
If nothing else, you can add a processing instruction to the document they use to convert it to HTML.
Re: The semantic web is now widely adopted
#10The author gives two reasons why AI won't replace the need for metadata: 1: LLMs "routinely get stuff wrong" 2: "pricy GPU time" 1: I make a lot of tests on how well LLMs get categorization and data extraction right or wrong for my Product Chart ( https://www.productchart.com ) project. And they get pretty hard stuff right 99% of the time already. This will only improve. 2: Loading the frontpage of Reddit takes hundr…
LLMs have no soul, so I like content and curation from real people