Era “Super hints”– These long, detailed instructions that once seemed to be code codes to squeeze better results from AI models – the city is quiet to the end.
The last report suggests that although they once gave users a great advantage in shaping the starting, modern AI systems are increasingly unnecessary.
If you've ever spent half an hour, creating an absurdly specific prompt, such as calling for genius, you are not alone. Great hints have become a trend because the early AI models struggled with the nuance.
By full of tasks, rules and stylistic instructions, users can transform the general model into a passing journalist, poet and even an artificial therapist.
But with newer models, such as GPT-5 and Anthropic's Claude 3.5, the need for these complicated rituals is quickly disappearing. These systems are trained in terms of understanding of context with a much lower retention.
Of course, some nuts insist that the great hints do not really disappear – they just go underground.
According to AI researchers, a significant part of the logic behind the complex hints was baked in a perfect and strengthening stage of learning today's models.
In short, “fast engineering magic” moved up the river to the pipelines, so what was once the hack of users is now embedded under the hood.
The question is: what does this change mean for writers, marketers and anyone who relied on artificial intelligence in the field of creative work? Some say it's a win – without time playing, more time. On the other hand, there is also a sense of loss.
The art of fast engineering was an experiment based on a community in which the threads of Reddit and the group of disagreement brightened clever hacks.
I felt like a wild border, and some users are worried that when AI becomes more “plug -in and playing”, there is a bit of this human ingenuity.
This change also combines a broader trend of utility of artificial intelligence: increasing more natural, less technical tools.
For example, Google's Gemini introduces functions that interpret unclear or free input data with surprising accuracy, narrowing the gap between what users say and what AI understands.
This movement signals in the industry a departure from demanding very precise instructions and more intuitive, conversational interfaces.
Personally, I think he is sweet and bitter here. I loved to see how successful people could get hints – it was like a new language evolving in real time.
But knowing that I can simply enter: “Write a convincing op-nut with a hint of dry humor” and get something useful without pulling it with 500 additional instructional words.
Perhaps it is not about losing great hints, but more about technology, finally catching up in the way people naturally communicate.
So are they not alive? Not quite. They change – without visible, less performative, but still quietly shape the results from the inside.
And maybe this is the natural evolution of any technology: the hacks are absorbed, the tricks become default, and the next limit opens.
