GPT-5 critics are dead wrong

Are they really.

Shill

check out the lies about the wonderful I provements of GPT-5 against all previous versions.

https://pivot-to-ai.com/2025/08/08/openai-announces-gpt-5-pl...

The charts are clearly maniplated to look as if GPT-5 is far ahead of the previous versions but it is not.

reminds me of how you can make scary predictions using graphs by stretching or squashing them to make the curve seem more or less acute.

This was the true meaning of flatten the curve just by stretching the graph.

Lets test GPT-5.

So let’s try the very first question: how many R’s are the in the word strawberry? GPT-5 can do the specific word “strawberry.” Cool.

But I suspect they hard-coded that question, because it fails hard on other words:

Question: How many e's are in a dingleberry

ChatGPT said: If you mean the literal word “dingleberry” — it contains three “e”s:

dinglebe*rry

One at position 5, one at position 8, and one at position 10.

Would you like me to also break down where the other letters appear?

Somehow, nobody’s cracked the “counting letters” problem.

By the way, if you don’t like GPT-5, no problem — OpenAI has removed all the other models! GPT-5 is your only choice now! Reddit ChatGPT is deeply unhappy about this.

Well, folks, I finally got access to GPT-5, and let me tell you, I am seriously impressed. For months, I have been reading speculation, leaks, and hot takes about what it would be like. Now that I have actually used it, I think a lot of the negativity swirling online is missing the bigger picture.

If you spend any time on Reddit, Twitter, or YouTube, you will see the same complaints repeated. Some people say GPT-5 is no different from GPT-4. Others claim it has lost its personality. Some insist it is too safe and refuses to answer too many questions. The internet has been quick to declare it a disappointment. The truth is, much of that does not seem based on actual use.

Let us start with what is actually better. GPT-5 handles coding, math, and reasoning more effectively than any version before it. The difference is clear if you give it complex instructions or ask it to work through problems step-by-step. It is more willing to think before answering, which means fewer mistakes and more complete solutions. For developers, students, and anyone working on detailed projects, this is a real improvement.

The too safe criticism is a different story. Yes, GPT-5 will shut down certain topics more quickly than older models. OpenAI has tuned it to be more cautious. This bothers some people who want a totally unfiltered AI. But that is not a sign of lower intelligence. If anything, the answers it does give are more precise, and it avoids wandering into random tangents or made-up facts as often.

Then there is the personality complaint. I get where this comes from. Out of the box, GPT-5 does seem more neutral. If you are used to the chatty, quirky tone that earlier models sometimes had, you might think something is missing. But after spending a bit of time prompting it and shaping responses, I can still get the same casual and conversational tone I enjoy. It just takes a nudge.

I think a lot of the frustration comes from unrealistic expectations. People saw GPT-5 and assumed it would be a massive leap toward science fiction-level AI. That was never realistic. GPT-5 is not an artificial general intelligence. It is still a language model. The fact that it did not instantly transform into a digital superhuman does not mean it is a failure. Calling it no better because it did not meet fantasy-level expectations is like saying a new smartphone is bad because it does not teleport you to work.

The other thing worth noting is how much online opinion is shaped by AI fatigue. Over the last two years, AI has dominated tech news. We have had constant product launches, updates, and press releases. By the time GPT-5 came out, some people were ready to dislike it before even trying it. Negativity often gets more clicks than praise, so criticism spreads faster.