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"Your Brain On Chat GPT" Paper Analysis
In this transcript, neuroscientist Ashley and psychologist Cat critically analyze a controversial paper titled "Your Brain On Chat GPT" that claims to show negative brain effects from using large language models (LLMs).
Key Issues With the Paper:
Misleading EEG Analysis:
The paper uses EEG (electroencephalography) to claim it measures "brain connectivity" but misuses technical methods EEG is a blunt instrument that measures thousands of neurons simultaneously, not direct neural connections The paper confuses correlation of brain activity with actual physical connectivity Poor Research Design:
Small sample size (54 participants with many dropouts) Unclear time intervals between sessions Vague instructions to participants Controlled conditions don't represent real-world LLM use Overstated Claims:
Invented terms like "cognitive debt" without defining them Makes alarmist conclusions not supported by data Jumps from limited lab findings to broad claims about learning and cognition Methodological Problems:
Methods section includes unnecessary equations but lacks crucial details Contains basic errors like incorrect filter settings Fails to cite relevant established research on memory and learning No clear research questions or framework The Experts' Conclusion:
"These are questions worth asking... I do really want to know whether LLMs change the way my students think about problems. I do want to know if the offloading of cognitive tasks changes my own brain and my own cognition... We need to know these things as a society, but to pretend like this paper answers those questions is just completely wrong."
The experts emphasize that the paper appears designed to generate headlines rather than provide sound scientific insights, with potential conflicts of interest among authors who are associated with competing products.
Would you prefer C or C++?
"2) AI companies are content with slop and do not even bother with clear problem statements."
It's a filter. If you don't get the problem, you'll waste their time.
"3) LOC and appearance matter, not goals or correctness."
The task was goal+correctness.
"4) Anthropic must be a horrible place to work at."
Depends on what you do. For this position it's probably one of the best companies to work at.
Missing FreeBSD jails in 2026 is kind of weird (hello 1999)...
Python evolved, PHP had 1000 times more "how to get started" articles, Node happened. And LAMP became the default for noobs.
For me, DoubleMemory falls between the cracks: - bookmarks in multiple browsers on multiple devices - Maccy.app for clipboard management on MacOS - Bear.app for notes on MacOS, iOS and iPad
Our Tesla Model 3 was made in China…
Or do you have _evidence_?
Battery life and fan is rather annoying now :(
https://www.reuters.com/article/us-northkorea-unicef/tacklin...
I blame shitty sites more than Apples architecture :(
And while there are probably some services on AWS you can’t find at a competitor - that’s mostly a choice (aka profit margin) made by the competitor.
Maybe not "better", but useful and with a Apache 2.0 license :)
https://www.technologyreview.com/2020/12/04/1013294/google-a...
I loathe captchas, especially Googles who seems to punish my use of privacy extensions (ie ublock origin, Ghostery Lite).
Captcha is a ok tool when you have valid reasons to assume the user is a bot (multiple failed logins, unusual traffic, password resets etc.). Used as a default it only antagonizes users.
I have the exact same experience as you, and even after using Linux om multiple machines for 20+ years (desktops, laptops and servers) I still prefer Macs and MacOS.
Changed work recently and went back to my late 2013 MacBook Pro for a few months. It still works great with Big Sur - try that on a 7 years old PC...
And I love my 2 days old MacBook Pro m1, the keyboard is perfect and the esc-key is as God intended it (yeah, for emacs...).
The server can then block, redirect or feed the browser erroneous data.
http://www.foxnews.com/us/2017/09/14/marine-kicked-out-corps...
* Please read submissions before commenting on them
"Federal laws prohibit mailing unordered merchandise to consumers and then demanding payment."
He was (made) aware of the problem and chose to keep the default.
Makes you confident about Airmule?
He clarifies the provocative title in the section titled "How long should you give people a chance?"
They made a choice to let Trump win, just to tell Hillary (and the Democratic Party) that they didn't like her!
https://www.forbes.com/sites/omribenshahar/2016/11/17/the-no...
Garadget sold a product to the customer, accepted the customers money -then disabled the product when the customer wrote a negative review.
Who's the jerk?
The Garadget device, not the customers phone! I never mentioned a phone, did I?