Devezer presents a formal (statistical) model-based model of science as an idealised experiment. Interesting: no formal bottom up theory generation (eg Qual work) in this, methods are framed as a given set (whereโs method innovation?)
@IrisVanRooij I first started talking about this with you and others in various twitter-iterations, starting at least in 2017. See link. And yet, _still_ trying to find co-sponsor to post book on AI + Democracy on arXiv in AI section...so...? https://t.co/CjTsPR2SKK
I do not understand why not more of my colleagues in the field of AI are worried about this. Why are they not worried about how AI hype discredits the entire field?
I spoke at the NEAR Redacted conference in Bangkok, and they were kind enough to put the session online. You can watch it here: https://t.co/hCx5o0b5rj
@KordingLab But donโt trip over your Dunning-Kruger Effects! Weโd like you to have _some_ cognitive gumption, but not so much you project (in the 90s sense) or fall under the spell of pseudoscience. Narrow path but those guardrails will get you to the sci-hub promised land [sarcasm warning]
Add the "democratic" marketing push AI undertook in 2023 which imagined the democratic function could be entirely handled by algorithms, w/ a minimum of people. โฆ@GaryMarcusโฉ https://t.co/WO7OiFu51x
New paper: "From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models"!
We investigate the potential synergies between LLMs and Artificial Life ๐ค On the one hand, LLMs can serve as tools for ALife research ๐ ๏ธ On the other hand, principles of ALife, such as self-organization, collective intelligence, and evolvability can provide an opportunity for more adaptive LLMs ๐ฆ
Could we even imagine LLMs as a form of artificial life?
PDF: https://t.co/2OJZzAzd5o
Seeing, in quick overview, these excellent sections: "The theory-free idea," "Physiognomy" #wtf "Personality psychology" #lol for starters. Such ML usages, which authors debunk, reflect a bro-disrupter mentality which acts like it knows what it's disrupting (and rarely does)
New paper where @bayesianboy, @andrewthesmart, and I outline how machine learning is laundering long discredited harmful pseudoscience and offer resources for research best practices to developers/practitioners
https://t.co/JU9jVwpKNt
@fchollet 1. Non-child-rearing fine choice by many, near-impossibility for some. 2. If I could have I would have, yet I would never presume it morally superior. 3. We don't support most humans in our Civ bc of right-wingers. Best not to echo them
@NTFabiano Bad news, which this aspect of the study encompasses, requires possible rebuilding of mental models. Do we rush to possibly adjust MMs and as an evolutionary thing? And did this study see if people actually adjusted MM or merely glanced at bad news and discarded?
Falsehood diffused significantly farther, faster, deeper, and more broadly than the truth, and the effects were more pronounced for false political news than for false news about terrorism, natural disasters, science, urban legends, or financial information. 5/9
No, the big questions are : life, the universe, and everything. Or, if you are a classical thinker, truth, goodness, and beauty. Intelligence ๐ฏ does not make the cut.