Key Takeaways
- GPT-5 Launch “underwhelmed” everyone by not delivering what was expected.
- Show some improvement somewhere else but it does not show any giant leap.
- AI reasoning claims too much for the technology have faced some push back.
- GPT-5 rollout has received some technical issues along with negative user feedback.
Everything Seems Off For GPT-5 Launch
There was a lot people was looking forward to with OpenAI’s GPT-5 release.
Almost a year ago, the CEO of OpenAI, Sam Altman, predicted that “artificial superintelligence was just around the corner”
When GPT-5 was released, people were anticipating some revolutionary changes.
As for the people who were excited about GPT-5, the release was a massive letdown.
There were reports of delays, hallucinations, errors, and glitches, not to mention sluggish responses.
Basic functions, toggling back and forth between GPT-5 and GPT-4 also did not work.
While some users were eagerly anticipating the new features, they were sorely disappointed.
From Excitement to Detailing
GPT-5 was publicized a month ago by Altman, who asked everyone to listen to it and rest assured that it’s going through an intensive testing period.
As predicted, GPT-5 was hyped to be a groundbreaking achievement and a turning point in AI conversational scenarios, but what was really puzzling was the reasoning.
Altman did call it a “moonshot project” but while the ambition is appreciated, the rest of the statement about the technical reasons is downright dumb.
The new model does show some improvement in benchmarks, however, we expect GPT5’s release to contain large revolutionary features, not “some improvement” while, reportedly GPT-5 outpaced some older models put in “grok-4” by elon musk’s xAI.
Mixed Outcomes in Reasoning and Coding
Reasoning and Coding
GPT-5 Launch improvement in repository analyses for coding tasks.
ZDNET’s David Gewirtz noted that the model was not a breakthrough, and in some cases, performed worse than previously.
OpenAI GPT-5’s claims of equaling or surpassing human experts in reasoning at least 50% of the time have drawn criticism.
Researchers have cautioned that due reasoning in large models often appears the “smarter” than it actually “is.”
Scholars Contest AI’s Reasoning claims
Recent research from Apple uncovered that large reasoning models (LRMs) have a tendency of failing to apply explicit algorithms in a consistent manner.
They also lose focus in precision as tasks become increasingly complex.
In the same way, Arizona State University researchers argue that “chain-of-thought” outputs create a false sense of logic.
The process, while appearing to have some depth, is often shallow and utterly unreliable.
“Reasoning is often a brittle mirage that the harder you push, the more it shatters,” the report states.
The AI industry is in need of focus.
The gap between AI advertising and real performance is widening.
While GPT-5 is a fairly good model, it does not take us closer to advanced AI.
Hopefully, the GPT-5 launch encourages the public and the press to view bold statements regarding AI with more skepticism.
I expect the same scrutiny with GPT-6.
In summary, Progress is GPT-5’s the standout feature.
These difficulties emphasize the need to have grounded expectations when it comes to AI development.
Remember the most important parts:
- GPT-5 Launch is worsening in some regards but improving in others.
- The “superintelligence” label is still far from reality.
- Accomplishments have been overshadowed by technical difficulties and backlash from overhype.
- There is a concerted effort by scholars to counter actively the redoubling of AI’s rationale claims.
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