๐๐๐ ๐๐ช๐ง๐๐ฃ๐ ๐๐๐จ๐ฉ ๐๐๐จ ๐ฝ๐ง๐ค๐ ๐๐ฃ, ๐๐๐ฉ ๐๐๐๐ฉโ๐จ ๐๐ค๐ฉ ๐๐๐ ๐๐๐ค๐ก๐ ๐๐ฉ๐ค๐ง๐ฎ
We all felt this moment was coming,
Some of us quietly believed we were already past itโฆ However, now we have the data to show it.
A recent scientific study by Jones and Bergen (2024) revealed that Large Language Models, specifically GPT-4.5, have officially passed the Turing Test. When presented as human in a controlled trial, GPT-4.5 was judged more human than an actual human, 73% of the time. That flips the script.
This isnโt just a tech milestone, Itโs a shift in how we understand perception, communication, and identity. Note that these are similar characteristics that also point to โpersonhoodโโฆ ๐ค
๐๐๐๐ฉ ๐ฌ๐๐จ ๐ฉ๐๐ ๐๐ช๐ง๐๐ฃ๐ ๐๐๐จ๐ฉ, ๐๐ฃ๐ ๐ฌ๐๐ฎ ๐๐ค๐๐จ ๐๐ฉ ๐ข๐๐ฉ๐ฉ๐๐ง?
The test, proposed in 1950 by Alan Turing, asked a simple question, If a machine can hold a conversation indistinguishable from a human, do we consider it intelligent?
It was never about machines developing consciousness, It was always about โusโ, our โhumanโ instincts, our judgments, and our assumptions. The classic, โhow did that interaction make you feelโ.
This paper and the tests denote and show thatโฆ
We can be convinced weโre speaking to another human, Even when weโre not.
๐๐๐ฉ ๐๐๐ง๐โ๐จ ๐ฌ๐๐๐ฉโ๐จ ๐ง๐๐๐ก๐ก๐ฎ ๐๐ฉ ๐จ๐ฉ๐๐ ๐,
Itโs not just that machines can pass the test,
Itโs that the test no longer applies.
Itโs too easy to trick the human brain with good grammar, conversational cues, and a bit of charm, we now need new ways to evaluate machine behavior. We need models or algorithms that are not based on deception, or cohersion but based on transparency and alignment with human values.
๐๐ฉโ๐จ ๐ฃ๐ค๐ฉ ๐๐๐ค๐ช๐ฉ โ๐ฅ๐๐จ๐จ๐๐ฃ๐โ, ๐๐ฉโ๐จ ๐๐๐ค๐ช๐ฉ ๐ฅ๐ช๐ง๐ฅ๐ค๐จ๐.
๐ธIf a system can fool us, should it?
๐ธIf it sounds real, is it responsible?
This is why frameworks like my ACT Model, Alignment, Clarity, and Transparency, matter more than ever.
#AI #genai #mindsetchange #turingtest #humanfirst
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