Great article. One of the papers it cites is https://arxiv.org/abs/2403.07183, which is also great and looks at the issue of LLM usage to write peer reviews.
It’s an issue I’ve noticed personally, as I’m seeing an increasing number of reviews that lack substance and are almost entirely made of filler content. Here’s an excerpt from a particularly egregious recent example I ran into, which had this to say on the subject of meaningful comparison to recent work:
> Additionally, while the bibliography appears to be comprehensive, there could be some minor improvements, such as including more recent or relevant references if applicable.
The whole review was written like this, with no specific suggestions for improvement, just vague “if applicable” filler. Infuriating.
So happy to see tarot games mentioned on HN, I'm a big fan of their strategic depth and centuries-old cultural background.
Something a lot of people don't realise is that when tarot cards were invented, their intended purpose was to be a game. The whole divination/cartomancy aspect was made up much more recently, mostly to amuse French aristocrats.
This brings back memories. I used Seat61 to plan a 40-day-long trip across Europe and Asia back when I was an undergraduate, and it was an invaluable resource.
> I've never had it be necessary to use these words. Often "on my/your side" if I'm walking with someone, or "beside/towards X" if there's a feature there.
> (it has deficiencies, and can be cumbersome, but these aren't them)
Surely the lack of words for left/right would make it pretty cumbersome to describe, say, the vehicle code, or to give driving directions, no?
I'm surprised that an article on the use of negation in French forgot to mention anything about "si", an interjection used to negate a negative question. [1]
Example from Wiktionary: [2]
Tu ne m’aimes pas, n’est-ce pas ? — Si !
You don’t like me, do you? — Yes, I do!
> Bilingual speakers tend to have a smaller vocabularies in each individual language than monolingual speakers
Do you have any citations to support this? From the research I have read (and my own anecdotal experience) this is not necessarily the case, especially when taking into account the bilingual speakers' dominant language.
See e.g.
Pearson et al. (1993). Lexical Development in Bilingual Infants and Toddlers: Comparison to Monolingual Norms.
Allman (2005). Vocabulary Size and Accuracy of Monolingual and Bilingual Preschool Children. – although note the difference in English vs Spanish vocabulary scores for monolingual vs bilingual speakers.
Absolutely. If your only input is the subject line, then you're dealing with a single-sentence classification task. You'd need to take the "class label" vector from the top layer of BERT (labelled "C" in Fig 2b of the paper) and then feed that to your own classifier.
For the experiments in paper they actually fine-tuned BERT on the downstream task, but I reckon you'd get acceptable performance by just keeping it fixed and using its outputs as features for a shallow classifier.
You couldn't, until Firefox 59. Before that, protocol handlers were not allowed to handle links to Dat/IPFS resources [0].
And while I agree with your comment regarding the chicken and egg problem, there are still some technical issues. As the shadowbanned sibling comment says, extensions don't have access to UDP/TCP sockets, meaning that you will need to run a gateway on your machine. See e.g. what dat-fox [1] does.
Firefox recently whitelisted a bunch of p2p protocols so that they can be used by browser extensions. One of them is the Dat protocol [0], which is similar to BitTorrent but has better support for mutable data and random access [1]. It's far from being "baked in", but it's a step in the right direction.
There's a WIP Kakoune mode plugin for VSCode, [0] which is unfortunately unusable and unmaintained. I keep checking every couple of months, hoping the developer will pick it up again, but so far no luck.