Accumulation of cognitive debt when using an AI assistant for essay writing task
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Re: Accumulation of cognitive debt when using an AI assistant for essay writing task
#12I can’t believe riding a horse and carriage wouldn’t make you better at riding a horse. Sure a horserider wouldn’t want to practice the wrong way, but anyone else just wants to get somewhere
Taking the article's task of essay writing: someone presumably is supposed to read them. It's not a carriage task from point A to point B anymore. If the LLM-assisted writers begin to not even understand their own work (quoting from abstract "LLM users also struggled to accurately quote their own work.") how do they know they are not putting out nonsense?
Re: Accumulation of cognitive debt when using an AI assistant for essay writing task
#13And also DUH. If you stop speaking a language you forget it. The brain does not retain information that it does not need. Anybody remember the couple studies on the use of google maps for navigation? One was "Habitual use of GPS negatively impacts spatial memory during self-guided navigation"; another reported a reduction in gray matter among maps users.
Moreover, anyone who has developed expertise in a science field knows that coming to understand something requires pondering it, exploring how each idea relates to other things, etc. You can't just skim a math textbook and know all the math. You have to stop and think. IMO it is the act of thinking which establishes the objects in our mind such that they can be useful to our thinking later on.
Re: Accumulation of cognitive debt when using an AI assistant for essay writing task
#14I wouldn't call it "accumulation of cognitive debt"; just call it cognitive decline, or loss of cognitive skills. And also DUH. If you stop speaking a language you forget it. The brain does not retain information that it does not need. Anybody remember the couple studies on the use of google maps for navigation? One was "Habitual use of GPS negatively impacts spatial memory during self-guided navigation"; another rep…
Sounds very plausible, though how does that square with the common experience that certain skills, famously 'riding a bike', never go away once learned?
Re: Accumulation of cognitive debt when using an AI assistant for essay writing task
#15I can’t believe riding a horse and carriage wouldn’t make you better at riding a horse. Sure a horserider wouldn’t want to practice the wrong way, but anyone else just wants to get somewhere
The task of riding a horse can be almost entirely offsourced to the professional horse riders. If they take your carriage from point A to point B, sure, you care about just getting somewhere. Taking the article's task of essay writing: someone presumably is supposed to read them. It's not a carriage task from point A to point B anymore. If the LLM-assisted writers begin to not even understand their own work (quoting…
They are trained (amongst other things) on human essays. They just need to mimic them well enough to pass the class.
> Taking the article's task of essay writing: someone presumably is supposed to read them.
Soon enough, that someone is gonna be another LLM more often than not.
Re: Accumulation of cognitive debt when using an AI assistant for essay writing task
#16I can’t believe riding a horse and carriage wouldn’t make you better at riding a horse. Sure a horserider wouldn’t want to practice the wrong way, but anyone else just wants to get somewhere
Re: Accumulation of cognitive debt when using an AI assistant for essay writing task
#17"""Going forward, a balanced approach is advisable, one that might leverage AI for routine assistance but still challenges individuals to perform core cognitive operations themselves. In doing so, we can harness potential benefits of AI support without impairing the natural development of the brain's writing-related networks.
"""It would be important to explore hybrid strategies in which AI handles routine aspects of writing composition, while core cognitive processes, idea generation, organization, and critical revision, remain user‑driven. During the early learning phases, full neural engagement seems to be essential for developing robust writing networks; by contrast, in later practice phases, selective AI support could reduce extraneous cognitive load and thereby enhance efficiency without undermining those established networks."""
Re: Accumulation of cognitive debt when using an AI assistant for essay writing task
#18> The LLM undeniably reduced the friction involved in answering participants' questions compared to the Search Engine. However, this convenience came at a cognitive cost, diminishing users' inclination to critically evaluate the LLM's output or ”opinions” (probabilistic answers based on the training datasets). This highlights a concerning evolution of the 'echo chamber' effect: rather than disappearing, it has adapte…
As if that's anything new. There's the adage that's older than electronics, that freedom of the press is freedom for those who can afford to own a printing press.
> However, this convenience came at a cognitive cost, diminishing users' inclination to critically evaluate the LLM's output or ”opinions” (probabilistic answers based on the training datasets).
Reminds me of Plato's concern about reading and writing dulling your mind. (I think he had his sock puppet Socrates express the concern. But I could be wrong.)
Re: Accumulation of cognitive debt when using an AI assistant for essay writing task
#19Now, let's do same exercise but with programming and over longer period of time. Would really like to present it to management that pushes ai assistance for coding
Your management presumably cares more about results, than your long term cognitive decline?
Re: Accumulation of cognitive debt when using an AI assistant for essay writing task
#20Now, let's do same exercise but with programming and over longer period of time. Would really like to present it to management that pushes ai assistance for coding
I honestly think it's gonna be a decade to define this domain, and it's going to come with significant productivity costs. We need a git but to prevent LLMs from stabbing themself in the face. At that point you can establish an actual workflow for unfucking agents when they inevitably fuck themselves. After some time and some battery of testing you can also automate this process. This will take time, but eventually, one day, you can have a tedious process of describing an application you want to use over and over again until it actually works.... on some level, not guaranteed to be anything close to the quality of hand-crafted apps (which is in-line with the transition from assembly to high-level and now to whatever the fuck you want to call the katamari-damacy zombie that is the browser)