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GPT-5 Launch Sparks Fierce Debate: Breakthrough or Blunder?

  • Writer: Niv Nissenson
    Niv Nissenson
  • Aug 12
  • 2 min read
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The release of ChatGPT-5 this week triggered a wave of posts, comments, and hot takes across LinkedIn and beyond. For some, the update represents a leap forward in reasoning, coding capability, and affordability. For others, it’s a flawed rollout that exposed deeper strategic choices at OpenAI.


Here’s a look at three influential perspectives — and where the debate stands.


Ruben Hassid: “A Smarter, Faster, Cheaper GPT”

AI creator Ruben Hassid sees GPT-5 as a notable upgrade across the board:

  • Better reasoning: Knows when to “think longer” and delivers smarter, more structured responses without requiring users to pick the right model.

  • Improved coding: Stronger at pair programming and debugging, making it a friendlier tool for engineers.

  • Speed and reliability: Quick turnaround times with clear, concise answers.

  • Competitive pricing: GPT-5-mini at $0.25 per million tokens is positioned well below major rivals.


In Hassid’s view, GPT-5 lowers barriers for both casual and professional users, keeping OpenAI in the accessibility lead.


Alistair Greenwood: “Launch Day Misstep”

Investor and AI commentator Alistair Greenwood took a different view, pointing out that GPT-5’s rollout stumbled from the start.


Due to a failed auto-switcher, many users received a cost-optimized model instead of the full GPT-5, creating a perception of lower quality. Social chatter on Reddit and X included blunt verdicts: “Bring back GPT-4” and “Feels like talking to a robot.”


For Greenwood, the lesson is clear: “Overhype something and you better deliver.”


Still, he believes OpenAI can recover once technical kinks are addressed.


Eduardo Ordax: “A Turning Point for AI”

AI influencer Eduardo Ordax frames GPT-5 not as a disappointment but as an inflection point. He argues that scaling laws and reinforcement learning are approaching limits — shifting the advantage to talent rather than sheer model size.


Ordax predicts:

  1. The AI talent wars will accelerate — with companies paying millions to secure top researchers.

  2. Focus shifts to applications — building with LLMs rather than endlessly chasing “smarter” LLMs.

He credits Sam Altman with putting AI on the global stage, noting that 700 million people now use ChatGPT daily. The next chapter, he says, depends on how the community turns attention into real-world impact.


Polymarket: A Shift Away From OpenAI

On Polymarket — a popular prediction marketplace that often reflects real-time sentiment in tech — the GPT-5 launch appears to have reshuffled expectations for Best AI Model by the end of 2025.

  • Google: 52% (up from 43% before GPT-5 launch)

  • xAI: 20% (up from 12%)

  • OpenAI: 18% (down from 36%)

The drop pushes OpenAI into third place, behind both Google and Elon Musk’s xAI. While prediction markets aren’t perfect forecasts, they’re a sharp indicator of confidence — and right now, traders seem to believe GPT-5 didn’t strengthen OpenAI’s position in the AI race.


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GPT-5’s launch has split opinion — with some celebrating a more capable, affordable AI, and others seeing a flawed rollout that dented OpenAI’s momentum.


Our take? The jury is still out.


Early technical missteps and user backlash are hard to ignore, but the long-term significance of GPT-5 will depend less on week-one sentiment and more on how quickly OpenAI addresses launch issues, delivers stability, and enables meaningful new applications. OpenAI is still the most used most recognized AI and still has 1st movers advantage.


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