dickmaster420

[dickmaster420]

Was just informed that "any sufficiently deep enthusiasm is indistinguishable from academic rigor" and hoo boy we are really in a crisis of anti-intellectualism.

[dickmaster420]

Vintage Vanity Sets

[dickmaster420]

the promised time has come

[dickmaster420]

that was lowkey churlish and ribald but i'm still amenable to you

[dickmaster420]

[dickmaster420]

There’s a new (unreviewed draft of a) scientific article out, examining the relationship between Large Language Model (LLM) use and brain functionality, which many reporters are incorrectly claiming shows proof that ChatGPT is damaging people’s brains.

As an educator and writer, I am concerned by the growing popularity of so-called AI writing programs like ChatGPT, Claude, and Google Gemini, which when used injudiciously can take all of the struggle and reward out of writing, and lead to carefully written work becoming undervalued. But as a psychologist and lifelong skeptic, I am forever dismayed by sloppy, sensationalistic reporting on neuroscience, and how eager the public is to believe any claim that sounds scary or comes paired with a grainy image of a brain scan.

So I wanted to take a moment today to unpack exactly what the study authors did, what they actually found, and what the results of their work might mean for anyone concerned about the rise of AI — or the ongoing problem of irresponsible science reporting.

If you don’t have time for 4,000 lovingly crafted words, here’s the tl;dr.

The major caveats with this study are:

This paper has not been peer-reviewed, which is generally seen as an essential part of ensuring research quality in academia.

The researchers chose to get this paper into the public eye as quickly as possible because they are concerned about the use of LLMs, so their biases & professional motivations ought to be taken into account.

Its subject pool is incredibly small (N=54 total).

Subjects had no reason to care about the quality of the essays they wrote, so it’s hardly surprising the ones who were allowed to use AI tools didn’t try.

EEG scans only monitored brain function while writing the essays, not subjects’ overall cognitive abilities, or effort at tasks they actually cared about.

Google users were also found to utilize fewer cognitive resources and engage in less memory retrieval while writing their essays in this study, but nobody seems to hand-wring about search engines being used to augment writing anymore.

Cognitive ability & motivation were not measured in this study.

Changes in cognitive ability & motivation over time were not measured.

This was a laboratory study that cannot tell us how individuals actually use LLMs in their daily life, what the long-term effects of LLM use are, and if there are any differences in those who choose to use LLMs frequently and those who do not.

The researchers themselves used an AI model to analyze their data, so staunch anti-AI users don’t have support for there views here.

Brain-imaging research is seductive and authoritative-seeming to the public, making it more likely to get picked up (and misrepresented) by reporters.

Educators have multiple reasons to feel professionally and emotionally threatened by widespread LLM use, which influences the studies we design and the conclusions that we draw on the subject.

Students have very little reason to care about writing well right now, given the state of higher ed; if we want that to change, we have to reward slow, painstaking effort.

The stories we tell about our abilities matter. When individuals falsely believe they are ��brain damaged” by using a technological tool, they will expect less of themselves and find it harder to adapt.

Head author Nataliya Kosmyna and her colleagues at the MIT Media Lab set out to study how the use of large language models (LLMs) like ChatGPT affects students’ critical engagement with writing tasks, using electroencephalogram scans to monitor their brains’ electrical activity as they were writing. They also evaluated the quality of participants’ papers on several dimensions, and questioned them after the fact about what they remembered of their essays.

Each of the study’s 54 research subjects were brought in for four separate writing sessions over a period of four months. It was only during these writing tasks that students’ brain activity was monitored.

Prior research has shown that when individuals rely upon an LLM to complete a cognitively demanding task, they devote fewer of their own cognitive resources to that task, and use less critical thinking in their approach to that task. Researchers call this process of handing over the burden of intellectually demanding activities to a large language model cognitive offloading, and there is a concern voiced frequently in the literature that repeated cognitive offloading could diminish a person’s actual cognitive abilities over time or create AI dependence.

Now, there is a big difference between deciding not to work very hard on an activity because technology has streamlined it, and actually losing the ability to engage in deeper thought, particularly since the tasks that people tend to offload to LLMs are repetitive, tedious, or unfulfilling ones that they’re required to complete for work and school and don’t otherwise value for themselves. It would be foolhardy to assume that simply because a person uses ChatGPT to summarize an assigned reading for a class that they have lost the ability to read, just as it would be wrong to assume that a person can’t add or subtract because they have used a calculator.

However, it’s unquestionable that LLM use has exploded across college campuses in recent years and rendered a great many introductory writing assignments irrelevant, and that educators are feeling the dread that their profession is no longer seen as important. I have written about this dread before — though I trace it back to government disinvestment in higher education and commodification of university degrees that dates back to Reagan, not to ChatGPT.

College educators have been treated like underpaid quiz-graders and degrees have been sold with very low barriers to completion for decades now, I have argued, and the rise of students submitting ChatGPT-written essays to be graded using ChatGPT-generated rubrics is really just a logical consequence of the profit motive that has already ravaged higher education. But I can’t say any of these longstanding economic developments have been positive for the quality of the education that we professors give out (or that it’s helped students remain motivated in their own learning process), so I do think it is fair that so many academics are concerned that widespread LLM use could lead to some kind of mental atrophy over time.

This study, however, is not evidence that any lasting cognitive atrophy has happened. It would take a far more robust, long-term study design tracking subjects’ cognitive engagement against a variety of tasks that they actually care about in order to test that.

Rather, Kosmyna and colleagues brought their 54 study participants into the lab four separate times, and assigned them SAT-style essays to write, in exchange for a $100 stipend. The study participants did not earn any grade, and having a high-quality essay did not earn them any additional compensation. There was, therefore, very little personal incentive to try very hard at the essay-writing task, beyond whatever the participant already found gratifying about it.

I wrote all about the viral study supposedly linking AI use to cognitive decline, and the problem of irresponsible, fear-mongering science reporting. You can read the full piece for free on my Substack.

[dickmaster420]

men love being tied to chairs and gagged it makes them feel masculine it's the same as working in an office

[dickmaster420]

[dickmaster420]

renamon caked up in some sort of down town metropolitan area for this card art

[dickmaster420]

[dickmaster420]

[dickmaster420]

[dickmaster420]

[dickmaster420]

donations for marah have significantly slowed down! the balousha family is famished, exhausted, depressed, and desperate. i care about them deeply and i hope that you're able to share this post and spare a dollar or two! :)

I am hosting this campaign !! The money you have all helped raise for this family has kept them alive through this nightmare - please continue to share and donate if you can!

@mahrahpalestine @palestinian95 this campaign is vetted, please check marah's blog(s) out!

[dickmaster420]

‘Gaze’ Christian Boltanski

[dickmaster420]

Eric Adams suddenly finds ‘overwhelming support’ from NYC’s desperate business elites

New York City’s business community — stunned by the apparent primary victory of socialist Zohran Mamdani and fearing a leftward shift in America’s biggest city — appears to be abandoning its grudging support for former Governor Andrew Cuomo and organizing more desperately around Mayor Eric Adams in a last ditch effort to block Mamdani in November’s general election. Some of former Gov. Andrew Cuomo’s biggest backers hinted in fluid, panicked conversations Wednesday that they’ll put their money behind Adams, who was elected in 2021 as a tough-but-fair ex-cop, and now, after a federal corruption indictment and the removal of his inner circle, is running on his policy successes and frankly fun personality. Adams’ popularity stood at an all-time low of 20% in a poll last month. [...] “There is going to be overwhelming support in the business community to rally around Adams,” said Richard Farley, a partner at Kramer Levin Naftalis & Frankel LLP who said he’s organizing a fundraiser for the mayor and has been speaking with some of Cuomo’s biggest donors. “This will be a street fight all the way to November.” Adams’ path is “narrow,” acknowledged one adviser. [...] Asked about efforts to rally around Adams, a top political aide to Bloomberg responded with a shrug emoji.