Let's explore in more depth this whole idea of thinking mode, and then the more advanced version thinking
Pro, if you have the higher plan and you know why, this is a big step forward in AI to have this reasoning
capability, it's kind of slowing itself down to analyze and reason before giving you an answer, so
to speak.
So let's look at that in a more in depth way.
So it's basically think longer.
It's applying a temporary reasoning boost applied to a single response.
And it's extending the internal reasoning chain before answering.
So it's basically slowing itself down.
And it's thinking through your problem versus immediately answering quickly.
It's thinking through this and really looking at that reasoning chain.
And it's all dependent.
It's all intended.
That is for complex or high stakes problems.
You know, things that are multi-step or very complex, things like DNA or from advanced coding.
It's not designed for our simple write me an email or even write me a report or write policy manuals,
for example.
But really something complex or high stakes.
So the GPT five, the nice thing is you don't have to pick the model automatically detect that complexity,
or if there's ambiguity and then engages that thinking mode, then it engages the thinking mode or manually,
the user can click on Think Longer button and choose a thinking mode and really request it and force
it to do that, which I think is a good option to have.
It's an important option to have.
And so when GPT five is doing it automatically, it's really looking at the complexity of the reasoning
steps that are required to answer your prompt, the ambiguity or incomplete context of the prompt so
you don't write a good prompt.
It may go into that thinking mode to try to figure your prompt out if there's sensitivity or potential
impact of the answer.
Many things are on security or terms of service type.
Things are violations.
It might slow itself down to really analyze should I answer this question?
Or how do I answer this question?
And if there's been prior failed attempts or contradictions on the conversation, it's not getting you
what you want or you're not contradicting what you asked before.
It might go in that thinking, well, to slow itself down, to try to understand what you're asking
for internally, it's basically expanding its reasoning tree.
It's exploring more hypothetical scenarios, different directions or branches.
That tree could go.
It's allocating extra computing cycles for that exploration, and it's cross checking behind the scenes,
multiple possible answers for consistency and factuality, matching that all up.
And then before it comes back with the final answer for you.
So when it's in thinking mode, there's benefits to tradeoffs.
So you're going to get higher accuracy on these complex queries.
It's going to be more nuanced.
It's going to give you better and well structured responses.
But it's going to be slower.
It's going to be slower.
It's the idea because it needs that time to think.
There might be some higher costs compared with API usage.
And for Pro, that $200 per month level users might be some higher computing costs around that.
So some things to look at if you're using those capabilities.
So using it for things like multi-step problems, math coding strategic planning where there's lots
of steps, fact sensitive topics, legal medical compliance, having to slow down and really think around
those things, or creative challenges where there's real depth needed to improve that quality of that
creative thing.
You might be wanting to create, maybe an image or something where it's going to go even deeper.
So in summary, thinking longer is basically deeper reasoning and happening in one response.
It can be automatic or you can manually force it.
And it's best for those complex, ambiguous or high stakes type problems.
Play around with it and you can start figuring out if it's working for you in terms of enforcing it
manually.
But when in doubt, don't worry, ChatGPT is going to choose the right thing, either for speed or go
into that thinking mode to get you.
The best result is the big idea.