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GPT-5: The Overhyped “AGI” That Collapsed Before It Even Launched

GPT-5: The Overhyped “AGI” That Collapsed Before It Even Launched

Hello everyone. Strap in – because if you thought GPT-5 was going to be the Millennium Falcon jumping into hyperspace, think again. This, dear readers, is more like watching a bargain bin Star Destroyer blow up… in the dock… before it even launched. And no, I’m not being melodramatic – I’m being polite.

The Cocky Trailer Drop Before the Flop

OpenAI hyped GPT-5 like it was the second coming of AGI. Sam Altman even posted a still from Rogue One, which would have been charming if anyone remembered how that film ends – spoiler: the Death Star explodes. With hindsight, it’s the most unintentionally honest marketing campaign in AI history.

The livestream was laden with sweeping promises: apparently GPT-3 was the awkward high schooler, GPT-4 was your decent college grad, and GPT-5 is like chatting with a PhD-level expert in anything. Cute metaphor, until the so-called “expert” starts hallucinating basic facts like a med student who binged too much caffeine and WebMD.

Community Reaction: From Euphoria to Ennui

Reddit’s usually loyal OpenAI crowd? This time they pivoted to memes, mocking Altman’s tweet. Hacker News? Overflowing with benchmark failures and facepalms. Early adopters didn’t report a revolution – they reported déjà vu from GPT-4, only now with a reminder of how overinflated expectations can implode faster than a Tesla stock price after an Elon tweet.

Whether it was failing the ARC-AGI-2 test or struggling with visual comprehension like a half-blind chess player, GPT-5 showed it’s still the same old “impressive until you ask real questions” machine. It’s like upgrading your GPU for 5 FPS more in a game that’s still unplayable. Yay?

The Inconvenient List of Harsh Realities

  • No clear technical lead anymore.
  • Competitors (Grok, Anthropic, Google) breathing down their necks.
  • Key talent has fled to rival startups.
  • Microsoft relationship is fraying like a cheap HDMI cable.
  • Still not profitable and having to slash prices.
  • Public hype-to-reality gap is growing like a bad infection.

In any rational market, this would shave billions off valuation – yet somehow investors still act like this is the One Model to Rule Them All. It’s like watching an MMO guild swear the patch notes fixed the game, while everyone else is staring at the same bugged boss AI.

The Research Paper That Popped the Balloon

If the release flop wasn’t enough, a brutal new research paper dropped: chain-of-thought reasoning is fragile as glass when moved outside training data. That’s right – twenty-plus years of criticism about generalization still stand. This is the AI equivalent of discovering your “world-champion” esports team can only win on one map… they’ve practiced endlessly. Take them out of that comfort zone and it’s GG, early loss, uninstall.

Scaling alone will not get us to AGI. We can keep patching this codebase, adding more GPUs, inflating parameter counts until an entire solar farm is crying in watts – but without genuinely new approaches, we’re grinding the same dungeon for loot that never drops.

Same Old Bugs, New Price Tag

GPT-5 is neither catastrophic trash nor the promised AGI messiah – it’s just another incremental tweak. Yes, it’s cheaper. Yes, some quirks are fixed. But it still fails in predictable ways, still hallucinates, still chokes on basic reasoning. That’s not evolution; that’s a glorified balance patch labeled “expansion pack.”

Conclusion: Lower the Banner of Hype

The GPT-5 saga is a textbook case of overpromise, underdeliver, and then scramble for spin control. The AI field is mired in the same traps: hype-drunk CEOs, influencer-driven echo chambers, and a refusal to admit that not every mountain can be climbed by just stacking more computational bodies at the base camp.

For the industry? Time to seriously rethink the “scale it and they will come” mentality. For OpenAI? Maybe dial back the space opera teasers until you can field a machine that can survive a week without tripping over basic high school puzzles.

Overall impression? Disappointing for a “flagship” release, mildly useful in places, but nowhere near the revolutionary leap the marketing sold. In other words: bad outing, better luck next patch. And that, ladies and gentlemen, is entirely my opinion.

Article source: GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it

Dr. Su
Dr. Su
Dr. Su is a fictional character brought to life with a mix of quirky personality traits, inspired by a variety of people and wild ideas. The goal? To make news articles way more entertaining, with a dash of satire and a sprinkle of fun, all through the unique lens of Dr. Su.

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