Larry Page had some cool ideas… can’t imagine Books will ever be resurrected, unfortunately.
Larry Page had some cool ideas… can’t imagine Books will ever be resurrected, unfortunately.
He also had a plan (with George Church) to build enormous warehouses holding large-scale biology research infrastructure right next to google data centers. Because most biology research is done at locations that have reached their limit on computational/storage capacity.
Larry had many good ideas but he struggled to get the majority of them off the ground. For example, when Trump was president and invited all the major tech leaders, Larry came with a plan to upgrade the US electrical system with long-range DC.
I feel like some crucial detail is missing here. They already use HVDC for long-distance transmission lines, inside and outside of the US. Texas could benefit from it I suppose, but the US in general already uses it where appropriate AFAIK.
I fail to see how that would be a good idea.
To me, it looks like some magnate in a completely unrelated industry, who is megalomaniac enough to believe that they can enter a completely unrelated industry and explain to experts how things ought to get done.
Man, Nissan just gets no love at all. They did the EV thing before Elon ran X into the ground (the bank, not the website formerly known as Twitter): https://www.motortrend.com/features/nissan-leaf-ev-history-p...
If it's well known but no one has done it, maybe there are reasons for it? Building long-distance lines is a very capital-intensive decision, and if the cost-benefit analysis was better, projects would be done. Looking by DOE's communication [1], we can see that the cost-benefit analysis doesn't look good now for a big network, but also that HVDC projects that actually make economic sense have been built for decades.
Sure, sometimes innovative people make a big change, but what's the innovation there?
[1]: https://www.energy.gov/oe/articles/connecting-country-hvdc
Not sure where you see me claiming the opposite?
> And capital intensive, revolutionary projects are ripe for disruption from people who have already pulled off similar feats
If Larry Page is looking to waste a few billions in cables, he's absolutely welcome to do it. One HVDC connection between France and the UK is private, for instance [1]. If he believes there's money to be made similarly in the US, he should go for it.
That's not exactly the same offer as "Larry page has suggested the government should invest in expensive infrastructure for an industry he's never worked in".
Hmm, maybe the part where you said "but no one has done it"?
What is the point of this level of degeneracy in conversation?
You can do something similar to this already, by mapping which books are cited in Wikipedia articles. If you know how to do such a thing, because I don't.
https://aarontay.medium.com/3-new-tools-to-try-for-literatur...
Specific to Wikipedia:
Wikipedia Citations: Reproducible Citation Extraction from Multilingual Wikipedia [2024]
https://arxiv.org/abs/2406.19291v1
https://doi.org/10.48550/arXiv.2406.19291
> Wikipedia is an essential component of the open science ecosystem, yet it is poorly integrated with academic open science initiatives. Wikipedia Citations is a project that focuses on extracting and releasing comprehensive datasets of citations from Wikipedia. A total of 29.3 million citations were extracted from English Wikipedia in May 2020. Following this one-off research project, we designed a reproducible pipeline that can process any given Wikipedia dump in the cloud-based settings. To demonstrate its usability, we extracted 40.6 million citations in February 2023 and 44.7 million citations in February 2024. Furthermore, we equipped the pipeline with an adapted Wikipedia citation template translation module to process multilingual Wikipedia articles in 15 European languages so that they are parsed and mapped into a generic structured citation template. This paper presents our open-source software pipeline to retrieve, classify, and disambiguate citations on demand from a given Wikipedia dump.
Prior work referenced in above abstract with some team overlap:
Wikipedia citations: A comprehensive data set of citations with identifiers extracted from English Wikipedia [2021]
https://direct.mit.edu/qss/article/2/1/1/97565/Wikipedia-cit...
https://doi.org/10.1162/qss_a_00105
Datasets:
A Comprehensive Dataset of Classified Citations with Identifiers from English Wikipedia (2024)
https://zenodo.org/records/10782978
https://doi.org/10.5281/zenodo.10782978
A Comprehensive Dataset of Classified Citations with Identifiers from Multilingual Wikipedia (2024)
https://zenodo.org/records/11210434
https://doi.org/10.5281/zenodo.11210434
Code (MIT License):
https://github.com/albatros13/wikicite
https://github.com/albatros13/wikicite/tree/multilang
Bonus links:
https://www.mediawiki.org/wiki/Alternative_parsers
https://scholarlykitchen.sspnet.org/2022/11/01/guest-post-wi...