GPT-5: The Reality Behind the Hype

Yesterday, OpenAI dropped GPT-5, and honestly? It wasn't the mind-blowing moment everyone expected.

Don't get me wrong - the numbers are solid:

• 94.6% on AIME benchmarks

• 74.9% on coding tasks

• 45% fewer hallucinations

• Competitive at $1.25/$10 per million tokens

These are meaningful improvements for developers and businesses using AI daily.

But here's what struck me:

While everyone was hyping GPT-5, Google quietly released Genie with genuinely novel AI architecture. Zero fanfare. Almost no coverage.

This reveals something important about our industry:

We've gotten so good at marketing AI that we sometimes mistake hype for actual innovation.

The real breakthrough often happens in research labs without countdown timers.

As someone who's been building with LLMs for over a year, I've learned to separate incremental improvements from paradigm shifts.

GPT-5 is the former. Useful, but not revolutionary.

My take: We need to recalibrate expectations. Most AI progress is incremental, and that's perfectly fine.

The question isn't whether something lives up to the hype. It's whether we're focusing on the right innovations.

What do you think? Are we getting better at marketing AI than developing it?

Community & Call to Action
Have you noticed the disconnect between AI marketing promises and real-world capabilities? Share your experiences building with LLMs, working in AI research, or simply observing the industry from the outside.

• Website: buildfastwithai.com

• LinkedIn: Build Fast with AI

• X (formerly Twitter): @buildfastwithai

• Telegram: Build Fast with AI Community