Category: Brain rot
‘As a machine thinketh, so he becomes’: New study reveals AI gets brain rot from consuming digital junk
For the majority of modern Americans, scrolling, computer work, streaming, and other forms of screen time have largely, if not completely, replaced reading, introspection, and deep conversation.
We are very quickly becoming “stupid slugs,” Glenn Beck says.
And he means stupid quite literally. Studies have proven time and again that our ability to concentrate and stay focused has become almost laughable. Recent reports indicate that Netflix and other digital entertainment companies are considering adapting content strategies — simplifying narratives, dialogue, and visuals — to accommodate viewers’ shortened attention spans and inability to follow complex plotlines.
“Everything that we’re doing online is fracturing attention, memory, and sustained reasoning,” Glenn says. “So, at what point does this become an epidemic? At what point are our minds starving for any kind of nutrition as we just feed them calories of noise?”
But our own rapid cognitive erosion isn’t even the wildest story. A new study has revealed that AI also experiences brain rot from consuming the same virtual junk that’s making humans dumber.
Large language models like Grok, ChatGPT, and Gemini “are trained on junk web content — so viral, shallow, high-engagement stuff,” Glenn says.
Just like a chronically online person, AI bots are experiencing a decline in “reasoning ability” and “long-context memory.” Further, “dark personality traits (psychopathic tendencies and narcissism)” begin to emerge the longer the bot feeds on digital junk — eerily similar to the terminally online rage-goblin hunched in a dark basement, marinating in memes and manufactured outrage.
But that’s not even the most disturbing part of the study. When researchers began replacing junk content with “clean, high-quality data,” the AI model was unable to recover to baseline capacity.
“The rot remains. As a man — or now as a machine — thinketh, so he becomes,” Glenn says ominously.
This study is a lesson every person living in the digital age needs to hear, and yet, it’s garnered little attention.
But even if it did attract the eye of the public, would it ultimately make a difference? Glenn is concerned we’ll be “too apathetic to wean ourselves off the digital heroin,” even if the consequences are staring us right in the face.
And then there’s this reality to contend with: Even if people reverse course, the study suggests that it might be too late anyway. The AI bot that fed on junk never could fully recover. Will we be the same?
If that’s our bleak reality, then we must also face the possibility that our children will inherit our shallowness — and most disturbingly, that at some point, our inability to think critically will culminate in the collective loss of human agency.
But even still, Glenn isn’t ready to give up. “Can we get people to actually listen to this and then engage again in thoughtful reading and conversation and meaningful silence?” he asks.
So much is at stake — time, freedom, connection, purpose.
Glenn warns: “It’s up to us, America.”
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A new study hints what happens when superintelligence gets brain rot — just like us
AI and LLMs appear to be in a bit of a slump, with the latest revelatory scandal coming out of a major study showing that large language models, the closest we’ve come yet to so-called artificial general intelligence, are degraded in their capacities when they are subjected to lo-fi, low-quality, and “junk” content.
The study, from a triad of college computer science departments including University of Texas, set out to determine relationships between data quality and performance in LLMs. The scientists trained their LLMs on viral X.com/Twitter data, emphasizing high-engagement posts, and observed more than 20% reduction in reasoning capacity, 30% falloffs in contextual memory tasks, and — perhaps most ominously, since the study tested for measurable personality traits like agreeableness, extraversion, etc.— the scientists saw a leap in output that can technically be characterized as narcissistic and psychopathic.
Sound familiar?
The paper analogizes the function of the LLM performance with human cognitive performance and refers to this degradation in both humans and LLMs as “brain rot,” a “shorthand for how endless, low-effort, engagement-bait content can dull human cognition — eroding focus, memory discipline, and social judgment through compulsive online consumption.”
The whole project reeks of hubris, reeks of avarice and power.
There is no great or agreed-upon utility in cognition-driven analogies made between human and computer performance. The temptation persists for computer scientists and builders to read in too much, making categorical errors with respect to cognitive capacities, definitions of intelligence, and so forth. The temptation is to imagine that our creative capacities ‘out there’ are somehow reliable mirrors of the totality of our beings ‘in here,’ within our experience as humans.
We’ve seen something similar this year with the prevalence of so-called LLM psychosis, which — in yet another example of confusing terminology applied to already confused problems — seeks to describe neither psychosis embedded into LLMs nor that measured in their “behavior,” but rather the severe mental illness reported by many people after applying themselves, their attention, and their belief into computer-contained AI “personages” such as Claude or Grok. Why do they need names anyways? LLM 12-V1, for example, would be fine …
The “brain rot” study rather proves, if anything, that the project of creating AI is getting a little discombobulated within the metaphysical hall of mirrors its creators, backers, and believers have, so far, barged their way into, heedless of old-school measures like maps, armor, transport, a genuine plan. The whole project reeks of hubris, reeks of avarice and power. Yet, on the other hand, the inevitability of the integration of AI into society, into the project of terraforming the living earth, isn’t really being approached by a politically, or even financially, authoritative and responsible body — one which might perform the machine-yoking, human-compassion measures required if we’re to imagine ourselves marching together into and through that hall of mirrors to a hyper-advanced, technologically stable, and human-populated civilization.
RELATED: Intelligence agency funding research to merge AI with human brain cells
Photo by VCG / Contributor via Getty Images
So, when it’s observed here that AI seems to be in a bit of a slump — perhaps even a feedback loop of idiocy, greed, and uncertainty coupled, literally wired-in now, with the immediate survival demands of the human species — it’s not a thing we just ignore. A signal suggesting as much erupted last week from a broad coalition of high-profile media, business, faith, and arts voices brought under the aegis of the Statement on Superintelligence, which called for “a prohibition on the development of superintelligence, not lifted before there is 1. broad scientific consensus that it will be done safely and controllably, and 2. strong public buy-in.”
There’s a balance, there are competing interests, and we’re all still living under a veil of commercial and mediated fifth-generation warfare. There’s a sort of adults-in-the-room quality we are desperately lacking at the moment. But the way the generational influences lay on the timeline isn’t helping. With boomers largely tech-illiterate but still hanging on, with Xers tech-literate but stuck in the middle (as ever), with huge populations of highly tech-saturated Millennials, Zoomers, and so-called generation Alpha waiting for their promised piece of the social contract, the friction heat is gathering. We would do well to recognize the stakes and thus honor the input of those future humans who shouldn’t have to be born into or navigate a hall of mirrors their predecessors failed to escape.
