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When “thin­king” thinks until there is nothing left to think

Just in time for our final review of the year, we at the agency are taking another look back at what’s new so far. One of the topics we’ve been discus­sing is ChatGTP and the new Thin­king Mode. Could it make ever­y­thing better? Is there more to AI than suggesting shor­tenings and checking for spel­ling and grammar mistakes? Could our virtual colle­ague even write the basis for an entire profes­sional article—without any hallucinations?

In prac­tice, it looks like this:

The test run starts off well thought out. We write a detailed prompt, define the target audi­ence, topic, tone, and length. Of course, we put a lot of effort into this, because we wanted to be able to continue working with the results.

Then we wait. Until now, neither the state­ments nor the sources provided by the AI could be trusted. Our eager colle­ague ChatGTP likes to make things up to make herself look better. This shouldn’t happen anymore in the Thin­king mode. We are excited to see the result. But then what happens is

Silence. Abort. End.

Either the text breaks off in the middle or, even better, nothing appears—Thinking Mode thinks and thinks, and in the end, there is nothing. No sentence, no frag­ment. And even the sentence “Please finish writing this text” doesn’t work. Because the begin­ning has long since vanished into virtual fog.

Why the thin­king mode some­times “strays”

In theory, the thin­king mode is a bles­sing, because it actually follows instruc­tions such as “don’t esti­mate the word count, just count” or “don’t inter­pret the results, just repro­duce what is actually there.” The problem: addi­tional “thin­king work” requires resources. It costs compu­ting time, and on top of that, each answer has a limited “word budget” (number of tokens). If this budget is exceeded or the calcu­la­tion takes too long, it’s game over – the tech­no­logy says, “Time’s up.”

For us, this feels like a down­load that stops at 98%—painful for our time budget, emotio­nally… let’s say: not good for our blood pressure.

Avoi­ding blackout experiences

At the end of the day, we’ve at least made some progress with this:

  • Outline first, text later: First, just create a struc­ture: headings, subchap­ters, rough bullet points.
  • Formu­late in stages: Each section gets its own prompt – like indi­vi­dual buil­ding blocks for layout and appr­oval. This way, the entire text can’t disap­pear before anything even lands on the screen.
  • Limit the mental effort: Don’t make too many demands at once. What can be done one after the other should also be done one after the other. Formu­late as “fool­proof” as possible and, if neces­sary, simply ask the AI itself why it did some­thing a certain way. At least it helps for the future…

ChatGPT is not an author, but a struc­tural aid, a wording machine, or a source of ideas for varia­tions, subhea­dings, and intro­duc­tions. What it defi­ni­tely does not replace: a know­led­geable author. In any case, we prefer to let AI continue to do the smaller auxi­liary tasks – that saves time and doesn’t waste it.