The Genius Level Chatbot
- Adam

- 2 de set.
- 2 min de leitura
The Rise of GPT-5
On August 7, 2025, OpenAI officially launched GPT-5, marking a major step forward from previous models like GPT-4. It’s now the default model powering ChatGPT and Microsoft Copilot, accessible even via free accounts, with unlimited access reserved for Pro users. This latest generation delivers faster responses, enhanced coding and writing abilities, and more accurate health-related outputs, all while showing significantly reduced hallucination rates.
Performance in Real-World Benchmarks
GPT-5 doesn’t just sound smarter—it does more. In various high-value tasks—spanning law, engineering, logistics, and finance—it matches or even surpasses human expert performance nearly half the time. In addition, GPT-5 offers better speed and efficiency, requiring as much as 50–80% less thinking time than previous models.On structured assessments such as the AIME math exam, GPT-5 reportedly scored a perfect 100%, thanks to tool-enabled reasoning. In code-based tests like SWE-Bench and Aider Polyglot, it clocked a solid 74.9%.
AI IQ: Myth or Metric?
There's been widespread curiosity around assigning IQ scores to AI. Investigations have produced wildly divergent results:
Standard model: ~94 IQ (offline) / ~120 (Mensa Norway)
Thinking mode: ~81 / ~96
Pro version: ~116 / ~148 – nearly in the genius range.
These differences reflect not only model variation, but also how unsuitable standard IQ tests may be for measuring AI "intelligence."
Why AI IQ Is a Flawed Comparison
Human IQ tests measure abilities like pattern recognition, logic, and verbal reasoning—with a mean set at 100. AI performance, however, often excels in specific domains rather than in generalized cognition. GPT-5 may score low on offline IQ-like tests, yet perform exceptionally in tool-augmented or reasoning-enabled environments—highlighting that context matters more than raw numbers.
Still Not Human-Level Intelligence
Despite advances, GPT-5 is not the arrival of AGI. OpenAI executives describe it as “like talking to a PhD-level expert,” yet it's still prone to small mistakes—underscoring that human oversight remains essential. Some analysts even suggest GPT-5 fell short of AGI expectations, signaling a possible slowdown in scaling and innovation.
Conclusion: Context Over Comparison
Labeling GPT-5’s IQ with a single number misses the point. It is best seen as an expert-level tool—capable of genius-level reasoning in specific contexts but not equivalent to human general intelligence. Its real power lies in benchmarks, robust reasoning under pressure, and domain-specific brilliance.


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