Will GPT-5 Be AGI? Assessing the Possibility of Artificial General Intelligence

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Written By Zach Johnson

AI and tech enthusiast with a background in machine learning.

The stunning language capabilities demonstrated by AI systems like GPT-3 and GPT-4 from OpenAI have sparked excitement about the potential for artificial general intelligence (AGI). AGI refers to AI that has human-level intelligence and adaptability across a broad range of cognitive tasks.

As OpenAI likely begins work on the next iteration, GPT-5, some experts speculate it could achieve the elusive goal of AGI. But is this truly feasible in the near future? Let’s examine the evidence both for and against GPT-5 becoming the first AI system capable of matching human general intelligence.

Narrow AI versus AGI

Thus far, all AI systems, including the most advanced models like ChatGPT, are narrow AI. This means they excel at a limited set of tasks within a specific domain, such as language processing. GPT models can generate remarkably human-like text, but they are focused only on language. In contrast, AGI could master language, strategic thinking, computer coding, complex problem solving, and more at a human level.

This versatility to transfer learning across many domains is precisely what distinguishes narrow AI from AGI. Some narrow AI may seem generically intelligent. But no existing AI possesses the flexible reasoning and understanding required for true general intelligence.

Arguments Against GPT-5 Achieving AGI

There are several reasons experts are highly skeptical GPT-5 will cross the threshold into human-level AGI capabilities.

1. Architectural Limitations

GPT models exhibit remarkable language proficiency, but their underlying architecture is specific to language tasks. The transformer architecture that empowers GPT is not designed for general intelligence. While transformers have enabled amazing progress in narrow AI, most researchers believe new architectures are needed to support AGI. It is unclear if merely scaling up a language-focused architecture could suddenly produce generally intelligent behavior.

2. Lack of Multimodal Capabilities

Humans leverage vision, sound, touch and more for general intelligence. But GPT has no capacity to interpret sensory inputs other than text. While GPT-4 aims to add some multimodal abilities, building robust general intelligence without visual perception or manipulation of the physical world seems highly implausible.

3. No True Understanding or Reasoning

Despite impressive language mimicry, GPT models do not actually comprehend what they are generating. There is no grounding in real-world knowledge or common sense. Without deeper reasoning capabilities, it is doubtful that simply expanding the model’s training data would suddenly lead to true understanding characteristic of AGI.

4. OpenAI Downplaying AGI Prospects

OpenAI leaders have clearly stated GPT models are not near AGI capabilities. CEO Sam Altman said: “We have a lot of hard engineering problems that we don’t know how to solve.” Technical advisor Ilya Sutskever stated: “We actually have no idea how to make a machine intelligent.” The OpenAI team seems highly aware that today’s systems remain profoundly limited compared to human cognition.

5. Elusive General Intelligence

No AI system has passed proposed benchmarks of general intelligence like the Winograd Schema Challenge or Cognitive Decathlon. Leading AI experts like Andrew Ng estimate AGI is decades away. Modern AI remains hyper-specialized. While progress is accelerating, most researchers believe achieving abilities comparable to the flexibility and common sense of the human mind remains a monumental endeavor.

Arguments for GPT-5 AGI Potential

Despite the challenges, there are some reasons AGI in the near future cannot be completely ruled out.

1. Rapid Recent Progress

The leap from GPT-3 to ChatGPT was tremendous. Given how quickly capabilities are expanding, it seems hasty to declare firm limitations on what future models might achieve. Some argue a paradigm shift in architectural design could unlock AGI more suddenly than expected.

2. Increasing Multitask Abilities

GPT-3 showed some ability to transfer knowledge between tasks. Its successor GPT-4 can answer questions, translate languages, summarize texts and more. Inching towards more flexible multitasking indicates foundational algorithms growing more generally capable.

3. Emergence of General Intelligence

There is a chance that as models are scaled up and trained on vast datasets, general intelligence could emerge from increasing complexity. The whole could exceed the sum of its parts. Some philosophers think integrating random facts could spark consciousness. Unforeseen organizational principles could manifest.

However, most AI researchers emphasize architectural innovation over just making models bigger. And true human-level intelligence likely requires grounding in living as embodied biological organisms – exceedingly difficult to capture in machine training.

Assessing the Outlook for GPT-5 AGI

Given the arguments and counterarguments, what is the most likely prognosis for GPT-5? Here are a few reasonable conclusions:

  • GPT-5 will surely demonstrate impressive improvements over GPT-4 in language and multimodal capabilities.
  • But surpassing narrow AI to achieve full human-level general intelligence remains an extremely ambitious goal.
  • While GPT-5 might exhibit some more general capabilities, true AGI likely requires fundamental conceptual innovations beyond incremental progress.
  • It is improbable, though not absolutely impossible, that GPT-5 will fully achieve AGI.

In the long run, developing AGI could profoundly transform humanity. But modern AI, for all its achievements, remains brittle. The path to flexible, generalized machine intelligence matching humans likely still involves scientific breakthroughs and paradigm shifts beyond today’s deep learning.


GPT-5 promises to astound with impressive new language and multimodal capabilities. But fulfilling the grand vision of AGI poses challenges still far beyond modern AI’s reach. With brilliant researchers exploring wildly innovative approaches, future AI systems may yet exhibit fully human-level flexibility and intellect. But this remains distant – GPT-5 falls short of a true AGI breakthrough.

Nonetheless, progress towards more generally capable AI could have immense implications even before the holy grail of AGI is realized. We must grapple with difficult technical puzzles, while also addressing the ethics and alignment of increasingly advanced AI. The path ahead is long and fraught with uncertainties. But the journey towards artificial general intelligence has only just begun.

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