AI should go back to schools. And also “content producers” that publish post without any verification (even chatGPT and Gemini could tell correctly most circuits posted to Facebook are viral AI trash that does not work).
The Dunning-Kruger effect is a cognitive bias where people with limited competence in a specific domain overestimate their abilities.
At the heart of the bias is a deficit in metacognition—the ability to objectively step back and evaluate one’s own thought processes and performance.
The “Unknown Unknowns”: People who are inexperienced in a subject lack awareness of the full scope of what is required to be an expert.Inability to Judge Quality: As Dunning pointed out, the skills required to produce a correct answer or good performance are the exact same skills required to recognize a correct answer. If you lack the skill, you cannot recognize when you are making a mistake.
The “AI content producer effect” refers to how generative AI drastically increases content velocity while fundamentally shifting the skill requirements for creators. It acts as a massive lever for productivity but risks commoditizing output if human oversight and unique creative vision are removed
The effect manifests across several key areas:1. Shift from Creator to “Producer”Rather than starting from a blank page, human creatives are transitioning into editors, directors, and quality-control specialists. AI excels at drafting, storyboarding, and technical fixes, allowing a single human to handle larger, multi-channel projects.
2. Democratization vs. HomogenizationSmaller independent studios and creators can now produce premium-looking visual or audio content without massive budgets. However, over-reliance on the same algorithmic models risks flooding platforms with repetitive, homogeneous “slop” that degrades audience engagement
3. The Two-Tiered IndustryThe market is increasingly divided into two tiers:Automated/Volume Tier: Fast, cheap, and routine production serving audiences who prioritize convenience or immediate consumption.Premium/Bespoke Tier: Highly sought-after, human-made content centered around authentic experiences, brand trust, and distinct artistic taste.
4. New Workflow BottlenecksWhile AI solves execution bottlenecks (like transcription or basic coloring), it introduces new ones: governance, ethical concerns, and fact-checking. Hallucinations remain a critical issue, requiring human verification for topics like brand messaging and legal compliance.
Prompting for electronics circuits with AI tools very rarely produces something that works. There is no value in publishing AI trash that does not work.
When working on DIY electronics projects, it is essential to follow verified schematics that include proper safety features like fuses, heat sinks, and stable grounding.
If young people want to learn electronics they will be discouraged of all fake AI slop “electronics tutorials” and “circuits” posted to Facebook. It is very rare to see correct electronics info from various content producers.
This is another classic example of a nonsensical, AI-generated “social media circuit” that looks clean at first glance but is completely broken upon technical analysis.
Ban all the lazy “AI content producers” from Facebook. We have had enough of wrong circuits only to get interactions. They have made Facebook useless for any electronics information – over 90% of electronics designs you see in Facebook are nowadays wrong – many are dangerous as shown
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19 Comments
Tomi Engdahl says:
bullshittineering
Tomi Engdahl says:
The phrase “AI will eat the world” is a widely cited evolution of Marc Andreessen’s 2011 prediction that “software is eating the world.”
https://www.forbes.com/councils/forbesbusinesscouncil/2025/08/12/ai-is-eating-the-world/
Tomi Engdahl says:
AI should go back to schools. And also “content producers” that publish post without any verification (even chatGPT and Gemini could tell correctly most circuits posted to Facebook are viral AI trash that does not work).
Tomi Engdahl says:
That person who post AI bullshit to Facebook is probably a troll, an idiot, or both.
Or a troll-idiot who thinks he’s a great electronics expert.
Tomi Engdahl says:
The Dunning-Kruger effect is a cognitive bias where people with limited competence in a specific domain overestimate their abilities.
At the heart of the bias is a deficit in metacognition—the ability to objectively step back and evaluate one’s own thought processes and performance.
The “Unknown Unknowns”: People who are inexperienced in a subject lack awareness of the full scope of what is required to be an expert.Inability to Judge Quality: As Dunning pointed out, the skills required to produce a correct answer or good performance are the exact same skills required to recognize a correct answer. If you lack the skill, you cannot recognize when you are making a mistake.
Tomi Engdahl says:
The “AI content producer effect” refers to how generative AI drastically increases content velocity while fundamentally shifting the skill requirements for creators. It acts as a massive lever for productivity but risks commoditizing output if human oversight and unique creative vision are removed
The effect manifests across several key areas:1. Shift from Creator to “Producer”Rather than starting from a blank page, human creatives are transitioning into editors, directors, and quality-control specialists. AI excels at drafting, storyboarding, and technical fixes, allowing a single human to handle larger, multi-channel projects.
2. Democratization vs. HomogenizationSmaller independent studios and creators can now produce premium-looking visual or audio content without massive budgets. However, over-reliance on the same algorithmic models risks flooding platforms with repetitive, homogeneous “slop” that degrades audience engagement
3. The Two-Tiered IndustryThe market is increasingly divided into two tiers:Automated/Volume Tier: Fast, cheap, and routine production serving audiences who prioritize convenience or immediate consumption.Premium/Bespoke Tier: Highly sought-after, human-made content centered around authentic experiences, brand trust, and distinct artistic taste.
4. New Workflow BottlenecksWhile AI solves execution bottlenecks (like transcription or basic coloring), it introduces new ones: governance, ethical concerns, and fact-checking. Hallucinations remain a critical issue, requiring human verification for topics like brand messaging and legal compliance.
Tomi Engdahl says:
Useful comment:
This AI slop is useful only as “how many errors you can find in this picture” exercise
Tomi Engdahl says:
Prompting for electronics circuits with AI tools very rarely produces something that works. There is no value in publishing AI trash that does not work.
Tomi Engdahl says:
Most circuit disgrams on Facebook should come with this description:
This image contains highly inaccurate, nonsensical, and potentially dangerous electrical schematics.
Can u correct it..?
Tomi Engdahl says:
Many content producers should add this warning to pretty much every circuit diagram they have published in Facebpok:
This Facebook group contains highly inaccurate, nonsensical, and potentially dangerous electrical schematics.
Tomi Engdahl says:
When working on DIY electronics projects, it is essential to follow verified schematics that include proper safety features like fuses, heat sinks, and stable grounding.
Tomi Engdahl says:
This is content only…
Tomi Engdahl says:
If young people want to learn electronics they will be discouraged of all fake AI slop “electronics tutorials” and “circuits” posted to Facebook. It is very rare to see correct electronics info from various content producers.
Tomi Engdahl says:
99% of the schematics posted posted by some content producers are totally wrong. Are they playing a game called, “What’s wrong with this schematic”?
Tomi Engdahl says:
#lifestyle #CircuitDiagram = AI slop trash that does not work and not worth to look
Tomi Engdahl says:
Comment to use:
There is several problems with the circuit, the biggest is me wasting my time writing this statement.
Tomi Engdahl says:
It seems that due lazy “content producers” we can’t have nice electronics things in Facebook and all we get to see in fake AI slop.
Tomi Engdahl says:
This is another classic example of a nonsensical, AI-generated “social media circuit” that looks clean at first glance but is completely broken upon technical analysis.
Tomi Engdahl says:
Ban all the lazy “AI content producers” from Facebook. We have had enough of wrong circuits only to get interactions. They have made Facebook useless for any electronics information – over 90% of electronics designs you see in Facebook are nowadays wrong – many are dangerous as shown