Grimblewald
Joined 3 years ago
Joined 3 years ago
LLM's are good at solved problems applied to known or similar to known applications, otherwise they're not going to match humans.
It should surprise absolutely no one that things like this are going on, weather or not this post is credible. I agree, provenance of this particular post is a touch dubious, but even less trustworthy are the comments here saying this is bullshit.
Retractions do happen as well, especially if it's clearly proven malpractice. I've been behind 2 retractions so far, but it has never (in my experience) happened at the "contact corresponding author and seek clarification" stage of escalation. Typically it requires escalation to the journal itself.
Also, more effort into completeness needs to go in. Perhaps it is in there, but you just report an "accuracy" without defining what that means. The more I look, the more it starts becoming apparent this likely hasn't received any real human over-sight at all. "What does Grassmann mixing actually buy us?" It buys nothing, because it is a concept, Claude.
Neat idea, but in my opinion devoid of critical thinking / analysis or the level of rigour required to be suitable for broader dissemination. I'd put effort into making this a more credible body of work ASAP. Slop like this WILL cripple your standing in the field.
For example, I cannot currentl use the ms suite, like word or excel, because it asks me to log into an institutional account that I dont have, despite my account being the owner of the licenses for the suite running on my laptop. Make that make sense. All because i opened an institutional word document on it, i've tried fully reinstalling, no dice. i've tried nuking caches and registry entries, no dice. Window's basic functionality is indistinguishable from maleware.
There's no doubt AI companies can be profitable and bring value, but anthropic and OAI are horrifically over-valued at the moment, and there is no credible read that currently signals engaging in trade of these companies stock is anything other than engaging in greater fool theory.
Here's a news article if you prefer it.
https://www.thelondoneconomic.com/politics/reform-figures-se...
Richard rice is an example given in this one, engagement from thousands of likes etc per post, to less than 100. That obviously isn't an isolated instance and converts to less insane comments in other areas of the internet as well. You suddenly have a hard time finding previously incredibly common bad-faith actors in most political discourse comment sections.
So, the problem with AI is that it is a regression to some mean of minds + corporate bias introduced. It contributes at best one person worth of input variance and is wholly incapable of contributing efficiently or effectively. AI does not contribute effectively and units of insight offered per word read is abysmal for AI text, and so carries enormoys cognitive burden to refine the slop into the simole coherent point actually made, if there even is one, which you often don't know until the effort in refining has been expended. So, we introduce a lot of labor to discussuons by including AI when best case it may offer about as much variance a single person who is not willfully ignorant can offer.
So, I imagine I am not alone in this, and when I talk with humans, what I want is their mental model of the world to contribute, not some corporate mouthpiece i could query directly if that's what I wanted. AI is not exactly inaccessible.
So, i think most are hypervigilant in pointing out AI in their communities for a variety of reasons , but a common theme will be that those who use AI to do their thinking are a single entity in terms of what they actually add to the discussion, and spread over many people it is the age old spam problem, a single mind having disproportionate signal strength in a discussion where all voices should carry equal energy.