Any day now my wife and I are about to welcome our first born, a son.
I've been thinking about what lessons I'd like to pass down to him, lessons which I wish I had understood in my early 20s.
To that end, I have put together this list of 41 lessons I've learned by 41 Y.O.:
Quote: "This is how USAID spent your tax dollars"
I think people have lost the will to try fact-check this guy due to the volume of lies he spreads.
Also it's actually pretty difficult with this image and quite time consuming.
It just happens I had nothing better to do. /1
Paint was seen peeling from the floor of the Lincoln Memorial Reflecting Pool in Washington, D.C. on Thursday, weeks after a $14 million renovation that included a new color President Trump called “American Flag Blue.”
@webjuice_ie What about an owner who wants to setup a new website by themselves and who has very little coding experience, which is easier for someone in that category?
Absurd and inhuman violence is spreading ferociously through the sacred places of the Christian East, profaned by the blasphemy of war and the brutality of business, with no regard for people’s lives, which are considered at most collateral damage of self-interest. But no gain can be worth the life of the weakest, children, or families. No cause can justify the shedding of innocent blood.
FACT CHECK:
False and misleading.
The SAVE Act is not just about voter ID.
Fraudulent votes are only 0.00006%, or less than 100 per election. It's a nothing-burger.
The SAVE Act is about centralising control of the voting process under the government, which can and will be abused.
@theseoguy_ I had a call today from an LSA and couldn't answer. Called back 6 mins later and couldn't get through. Left a voicemail and sent a text. Definitely lost the client by not answering when the call came in.
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New research analyzing 740,000 hours of human speech has found undeniable proof: we are starting to speak like ChatGPT.
Not just in emails. In real life.
Here is the empirical evidence of the "Cultural Feedback Loop." 🧵👇
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We all know the jokes. You see the word "delve" in an email, and you know a bot wrote it.
But a new study (Yakura et al., 2024) asked a terrifying question:
Are we just using AI to write text, or is AI actually rewiring how we speak spontaneously?
The answer is yes.
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To prove this, the researchers didn't look at text (which is easy to fake). They went to the source: Spoken Audio.
They transcribed:
• 360,445 YouTube academic talks
• 771,591 Podcast episodes
That’s over 740,000 hours of humans talking to humans.
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First, they had to identify the "AI Accent."
They compared human writing to ChatGPT edits to find words the AI is obsessed with.
The top offenders?
• Delve
• Meticulous
• Swift
• Comprehend
• Boast
If you use these, your "GPT Score" is high.
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Then, they looked at the timeline.
They used a "Synthetic Control" method. Basically, they used math to predict how often humans would have said "delve" if ChatGPT never existed.
Then they compared it to reality.
The chart is shocking.
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The moment ChatGPT was released (Nov 2022), the usage of "delve" in spoken audio skyrocketed.
It broke the trend line completely.
And here is the wild part: This happened in spontaneous podcast conversations, not just scripted academic talks.
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Why does this matter?
Because it proves we aren't just copy-pasting. We are internalizing.
This is the "Closed Cultural Feedback Loop."
AI trains on human data.
AI develops a "style" (polite, verbose).
Humans adopt that style.
Future AI trains on those humans.
8/
The researchers found this shift across every domain.
Science, Business, Education—even "unscripted" chats are drifting toward the machine's preferred vocabulary.
We are slowly, subconsciously homogenizing our language to match the tool we built.
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This leads to a risk called "Model Collapse."
If humans start sounding like AI, and AI trains on humans, we lose linguistic diversity.
We become an echo chamber of "meticulous inquiries" and "swift delves."
The nuance of human culture gets flattened.
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The study calls this a "Cultural Singularity."
It’s the point where the line between human culture and machine culture blurs so much you can't tell them apart.
We used to worry about machines passing the Turing Test.
We didn't worry about humans failing it.
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So, a challenge for you this week:
Listen to yourself. Listen to your podcasts.
When you hear "delve" or "meticulous," ask yourself: Is that the speaker's voice? Or is it the echo of the algorithm?
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This research is a wake-up call. Language shapes how we think. If we let an LLM dictate our vocabulary, we let it shape our cognition.
If this thread made you think, give it a RT. Let's keep human language human. ��️
And also as happened with Putin, politicians and pundits spend too much time looking for complicated motivations from ideology or psychology or blackmail. It’s money. It’s always money. They’re crooks. With immense power, but still crooks. Don’t overcomplicate things.
With all respect to Sen. Kelly, who would be a formidable candidate, the American electorate deserves better than "Traitors versus Losers, the Sequel".