We are already approaching Artificial Superintelligence (AGI), as it seems that according to OpenAI's presentation, we are heading in that direction, judging by the presentation where they showcase the results in various graphs showing the potential level of these new OpenAI models.
"Today, we shared evals for an early version of the next model in our o-model reasoning series: OpenAI o3 and o3 Mini"
@OpenAI https://x.com/OpenAI/status/1870186518230511844
"Deliberative alignment: reasoning enables safer language models
Introducing our new alignment strategy for o-series models, which are directly taught safety specifications and how to reason over them."
https://openai.com/index/deliberative-alignment/
We are already approaching artificial general intelligence (AGI), as it seems that according to OpenAI's presentation, we are heading in that direction, judging by the news where they showcase the results in various graphs showing the potential level of these new OpenAI models.
Let's dive in for a moment and reflect on the impact in the search for Artificial General Intelligence (AGI Artificial General Intelligence. It is a model of artificial intelligence that has the ability to understand, learn, and apply knowledge in a wide variety of tasks, similar to human intelligence. Unlike specialized or specific-purpose AI, an AGI could theoretically perform any intellectual task that a human can do).
Can the new OpenAI O3 and O3 Mini models bring us closer to (AGI)?
OpenAI, the leading company in artificial intelligence research, has been working on the next generation of its language models, with the assigned name of O3 and O3 Mini. Although official information is limited, expectations are extremely high, and these models are expected to represent a qualitative leap in AI capabilities.
OpenAI O3:
O3, the large-scale language model, is anticipated to have greater reasoning capacity, more understanding of logic, causality, and complex problem-solving.
- Language fluency: Generation of more natural, less repetitive text that is more adapted to context, multimodal capability with the possibility of processing and generating information from multiple sources, such as text, images, audio, and video, learning and adaptation capacity with greater ease to learn from new data and adapt to different tasks, more efficiency, it is estimated to be capable of executing complex tasks with fewer computational resources.
OpenAI O3 Mini:
O3 Mini is expected to be a smaller and more efficient version of O3, and may have a significant part of O3's capabilities, although with some limitations in the scale and complexity of tasks it can perform.
- It will be faster, allowing its use in real-time on devices with low processing power, more accessible, extending the reach of AI to a greater number of users and applications.
If expectations are met, O3 and O3 Mini could revolutionize a wide range of fields:
Smarter virtual assistants: Capable of better understanding users' needs and offering more personalized and useful responses.
More powerful content creation tools: For generating high-quality text, images, audio, and video with greater ease.
More accurate translation systems: Understanding context and language nuances to offer more fluid and natural translations.
More advanced research and analysis to process large amounts of data and extract relevant information more quickly and accurately.
Let's talk about AGI:
Are we getting closer to AGI?
The arrival of models like O3 and O3 Mini raises a fundamental question: Are we getting closer to Artificial General Intelligence (AGI)?
AGI refers to a model of artificial intelligence that has the ability to understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence.
What makes us think that AGI might be near?
Advances in deep learning:
Language models like GPT-4 and those expected like O3 show an impressive ability to understand and generate human language, suggesting that we are making significant progress in understanding intelligence, being able to solve highly complex mathematical problems.
Greater multimodal capacity:
The ability to process and generate information from multiple sources (text, images, audio, etc.) is a crucial step towards AGI, which requires practically a holistic understanding of the world. AI models are increasingly improving in the ability to reason, plan, and solve high-level difficulty problems, suggesting that we are moving towards AGI's capacity to address tasks that require abstract thinking.
Greater efficiency and accessibility to create smaller and more efficient models like O3 Mini will allow AI to be more accessible and can be used in a greater variety of applications, which could accelerate the development of AGI.
But AGI is not ready yet:
Lack of deep understanding:
- Despite their impressive capabilities, current AI models do not have a deep understanding of the world or self-awareness. Their reasoning ability is based on statistical patterns, not a real understanding of meaning.
Difficulty generalizing:
- Current AI models often have difficulties generalizing knowledge acquired from one domain to another. AGI, on the contrary, should be able to learn and apply knowledge across a wide range of tasks.
Lack of common sense:
- Current models lack common sense, which is fundamental to human intelligence. Common sense is the tacit knowledge of the world that allows us to understand context and make informed decisions.
Ethical and social challenges:
- Artificial general intelligence (AGI) poses important ethical and social challenges, such as the impact on employment, privacy, and security. Addressing these challenges is necessary to ensure development towards AGI in a responsible and beneficial way for humanity.
The new OpenAI models like O3 and O3 Mini represent very significant advances in AI and will make their most direct competitors respond and develop models of equal or perhaps superior capabilities.
However, advances in AI are exponential, and it is possible that in the near future we will see models that come increasingly closer to AGI. The roadmap towards AGI seems to be traced and will be an exciting journey full of uncertainties, but it is also a journey that could transform the world as we know it.
After that can come Superintelligence, which refers to an intelligence that would significantly surpass human intelligence in all aspects, including creativity, social judgment, and problem-solving ability. A superintelligence would not only match but exceed human cognitive capabilities in all possible areas.
AGI is a step towards superintelligence, but it is not the same. An AGI could be considered a prerequisite or a stepping stone towards potential superintelligence, but superintelligence implies a level of intelligence that goes beyond what current or projected AGI can achieve, and probably if it happens, it could be the AGI itself that takes us towards Superintelligence.
