Tired of ads? Enjoy an ad-free experience by signing up.
  • Premium Content
    It takes our newsroom weeks - if not months - to investigate and produce stories for our premium content. You can’t find them anywhere else.
Scott Shuey · · 7 min read

Opinion: Sam Altman’s GPT-5 promises crumble under dev tests

For the last few years, OpenAI promised that the GPT-5 model would be a major leap forward in AI development.

Ahead of last week’s launch, executives talked up improved “thinking” capabilities, faster coding, and more powerful autonomous agents. The company claimed GPT-5 was “state of the art.”

Image credit: Timmy Loen

Pfffft! That didn’t happen. The smoke rising from OpenAI’s disastrous launch hasn’t cleared yet.

But despite all the headlines and the drama around GPT-5, there is a new model out.

Once you get past the fuss around the model routing issue – OpenAI removed the option to manually select a model – you need to ask the important question: How smart is it?

After talking to developers and founders in Southeast Asia and the US, I knew that GPT-5 was not living up to the hype.

Some users found incremental improvements; others saw no difference at all. And after putting the model through my own tests, I can see why so many walked away underwhelmed.

Unimpressive first impressions

I spoke with developers and superusers to get a better sense of how GPT-5 was performing. Most of the people I spoke with – at least those willing to try it despite the bad press – were unimpressed, although no one said it was bad.

A lawyer tells me she had to write far more context into her prompts to get useful answers. “Otherwise, it was not much different from GPT-4,” she says.

A startup consultant in Singapore describes GPT-5 as “quicker and more focused,” but adds that it was neither “incredible nor groundbreaking.”

For the most complex tests – coding and reasoning – I turned to developers who live and breathe this stuff.

U-Zyn Chua, an adjunct lecturer at NUS-ISS and an independent AI engineer, tells me that the first few days with GPT-5 were “a mess: slow responses, inconsistent behavior, and logical questions that the GPT-5 Thinking model got wrong even after working on it for over two minutes.”

See also: Price beats intelligence for OpenAI’s newest model

Two plus two equals … something?

Agents: licensed to fail

Writer, rewrite thyself

Stay ahead in Asia’s tech landscape

This is premium content. Subscribe to read the full story.

Why subscribe?

GPT-5 is marginally better at creative outputs but fails at agentic tasks. Here’s what real-world tests reveal about its so-called “thinking” skills.

📖 For learners / 👍 Starter

Lite

US$4.92/month

Billed annually at US$59/year

Get instant access to this article and more every month

4

4 premium content

Unlimited news briefs & articles

10

10 company database access

Ad-free reading experience

Just US$0.17 per day

Cancel anytime

🧠 For professionals / ⭐ Best value

CoreBest value

US$16.58US$14.92/month

Billed annually at US$179.10 on the first year

Get instant access to this article and more every month

Unlimited premium content

Unlimited news briefs & articles

Unlimited company database access

Ad-free reading experience

Just US$0.55 per day

Save US$19.90 on the first year. Cancel anytime

Our subscriber community includes professionals from these companies:

Stay updated on the go with our mobile app.

Get latest insights with smoother, more personalized experience through TIA mobile app.

TIA Writer

Scott Shuey

Scott has worked as a journalist for over 20 years, including 18 years working in Asia. He covers emerging technologies such as AI and Web3. You can reach him at scott.shuey@techinasia.