What can we see through GPT-5?
To put it simply:
1. The development of AI in the field of large language models has truly slowed down.
2. It may enter a period of intense price competition.
As mentioned before, there are many paths for AI. FSD, AlphaFold3, and Genie3 share some technological foundations with large language models, but they are actually different things.
Among them, the large language model indeed has the widest influence.
What impact does this stagnation have?
It's not easy to understand without examples. I'll integrate it into the implementation of unmanned companies to show the profound implications behind each breakthrough.
Before we start, let's review the five levels of AI classification by OpenAI, which contains many things of far - reaching significance. It feels a bit like revealing some secrets.
Note: The subsequent illustrations in this article are not for enhanced expression. They are the results directly obtained by feeding the corresponding paragraphs above to the model.
OpenAI's Five Levels of AI
It should be noted that the technological levels are directly related to business possibilities, but they do not fully match. Complex technologies may also be used for the simplest tasks. These five levels are based on technology, providing new possibilities, but a higher - level technology does not necessarily lead to a more advanced product. Level 5 intelligence can also be used for the primary intelligent tools of the past.
1. Level 1: Chatbots This is the most familiar form of AI to us currently. They can conduct natural conversations, understand and respond to users' text or voice instructions, and are mainly used in scenarios such as information retrieval, content generation, and customer service. They are powerful information - processing and communication tools, but usually do not have the ability to take initiative and perform complex reasoning.
2. Level 2: Reasoners At this level, the capabilities of AI go beyond simple conversations and information processing. They can perform deeper logical reasoning, problem - solving, and knowledge integration. Reasoners can analyze complex data, identify patterns, and provide solutions or suggestions according to established rules or goals, with professional thinking abilities close to those of humans.
3. Level 3: Agents AI at the agent level can not only reason but, more importantly, has the ability to take autonomous actions. They can execute a series of tasks actively according to preset goals or learn from the environment, call external tools or services, and provide feedback and make adjustments to the results without detailed instructions from humans at every step.
The so - called bottleneck lies here. Whether it can reach the next level has a huge impact on the product form.
4. Level 4: Innovators AI at the innovator level represents a breakthrough in creativity. They can go beyond existing knowledge, generate concepts, design, invent, and even propose brand - new theories or solutions. This type of AI can assist or even lead innovation activities such as scientific research, artistic creation, and product design.
5. Level 5: Organizations This is the ultimate vision of AI development. At this level, AI is no longer a single tool or system but a complete intelligent organization capable of autonomous management, operation, and evolution. They can set their own goals, coordinate other AIs or resources, and operate independently in complex environments. They may even interact and compete with other AI organizations.
Now, let's change to an application perspective and take a look at the transformation of organizations at these five levels from the perspective of unmanned companies.
Interpretation of GPT5 and Future AI Levels from the Perspective of "Unmanned Companies"
If we define "unmanned companies" as "algorithm - driven intelligent organizations", then OpenAI's five levels of AI depict an evolutionary picture of the future company form. In this process, the roles of humans and AI will be continuously reshaped along with the organizational form, from simple tool users to complex symbiotic partners.
Level 1: Chatbots - "AI - Enhanced Companies"
Imagination of unmanned companies: At this stage, the concept of "unmanned companies" is just in its infancy. The company is filled with various AI tools, but a complete and automated system has not been formed. It is more like an "efficiency - enhanced company" driven by human employees and using AI tools to greatly improve efficiency.
This should be the most widely used function of large models themselves.
Roles of humans and AI:
● Human: The "driver" and "decision - maker" of the company. Human employees are responsible for all core business planning, strategy formulation, solving complex problems, and final review and approval.
● AI: "Intelligent tool" and "efficient assistant". AI is like a super - intelligent secretary or assistant, helping human employees quickly obtain information, generate text, handle customer inquiries, and perform preliminary data sorting, greatly liberating humans from repetitive labor.
Example: Imagine a small online content marketing company composed of several creative personnel and marketing specialists. In the past, they needed to spend a lot of time on market research, writing advertising copy, and creating social media posts. Now, with an AI like GPT - 5:
● Marketing specialists can use GPT - 5 to quickly analyze the latest social media trends and generate draft marketing copy for different platforms and audiences.
● Creative personnel can ask GPT - 5 for suggestions on various titles and content structures, and even generate preliminary script outlines.
● The customer service team (maybe only one or two people) can use the GPT - 5 - driven intelligent customer service system to automatically answer more than 90% of common customer questions and only transfer the most complex questions to humans for processing. Although AI undertakes a large amount of auxiliary work, the final determination of content style, overall control of marketing strategies, and maintenance of customer relationships are still firmly in the hands of humans. This company, although highly efficient, is essentially driven by "humans", and AI is just a powerful "add - on".
At this time, the concept of unmanned companies has only emerged, and there is no real manifestation yet.
Level 2: Reasoners - "Intelligent Professional Service Companies"
Imagination of unmanned companies: As AI develops to the reasoner stage, it is no longer just a tool but has stronger logical analysis and problem - solving abilities and can handle some professional positions that require complex reasoning. "Unmanned departments" or "unmanned functions" begin to appear in the company, and AI replaces human experts in specific professional fields.
Roles of humans and AI:
● Human: The "strategist" and "supervisor" of the company. Humans are responsible for setting the company's long - term goals, formulating macro - rules, and conducting high - level review and risk control of AI's professional work.
● AI: "Professional expert" and "intelligent analyst". AI can independently complete complex tasks in specific fields, such as in - depth data analysis, risk assessment, and providing diagnostic suggestions, and offer professional solutions or suggestions.
Example: Imagine an AI - driven intelligent recruitment company. Traditionally, the resume screening and preliminary interview evaluation in the recruitment process are time - consuming and labor - intensive. Now, a reasoner - level AI system can:
● Intelligent resume analysis: Automatically read and understand a large number of resumes, accurately match job requirements, and give preliminary scores to candidates.
● Behavior pattern recognition: Analyze candidates' language, expressions, and behavior patterns in online tests and video interviews to evaluate their soft skills and potential performance.
● Talent market insight: Continuously analyze the supply and demand of the talent market, predict future talent trends, and provide strategic recruitment suggestions for enterprises.
● Risk assessment: Identify potential false information or inconsistencies in resumes to reduce recruitment risks. This company may have only a few human experts, whose main work is to conduct final decision - making interviews with candidates screened by AI, handle complex situations that AI cannot evaluate, and provide personalized talent development consultations. AI undertakes most of the cumbersome and time - consuming talent screening and evaluation work, enabling the company to find the most suitable candidates at a lower cost and higher efficiency.
Currently, a considerable number of agents are actually at this level. At this time, the concept of unmanned companies is vaguely visible, but humans still have the dominant power. It has not become a truly intelligence - prioritized organization.
Level 3: Agents - "Automated Operation Companies"
Imagination of unmanned companies: This is the key stage when "unmanned companies" truly begin to show their autonomous operation capabilities. AI is upgraded from an "expert" to a "team manager" and "executor", capable of autonomously coordinating and executing a series of complex tasks and even managing the entire business process. At this time, the "unmanned company" is an "automated organization" capable of autonomous operation.
Roles of humans and AI:
● Human: "Goal setter" and "final auditor". The role of humans further retreats to the background, only responsible for setting high - level business goals (e.g., "Increase sales by 20% while reducing operating costs by 5%") and conducting regular audits and interventions on AI's overall operation.
● AI: "Autonomous operation manager" and "task executor". A core AI agent can automatically decompose tasks, call other AI modules or external services (e.g., product management AI, marketing AI, logistics AI, customer service AI) to complete specific work, and monitor the progress in real - time to ensure the smoothness and efficiency of the entire process.
Example: Consider a smart e - commerce platform completely operated by AI agents. When a new product needs to be launched or a customer has any demand:
1. Product Agent: Receives new product information, automatically generates detailed product descriptions, keywords, and classifications, and optimizes image display.
2. Inventory and Logistics Agent: Monitors inventory levels in real - time, automatically places replenishment orders with suppliers, and coordinates with warehousing and logistics partners to ensure efficient inbound and outbound of goods.
3. Marketing Agent: Automatically creates and launches personalized advertisements according to user behavior and market trends, manages social media content, and adjusts marketing strategies in real - time to maximize conversion rates.
4. Order Processing Agent: Automatically processes user orders, including payment confirmation, shipping instructions, and logistics tracking updates.
5. Intelligent Customer Service Agent: Responds to customer inquiries 24/7, handles return and exchange requests, solves common problems, and automatically escalates complex or abnormal situations to humans. The entire e - commerce operation process, from product listing, marketing promotion, order processing to customer service, is autonomously coordinated and executed by the AI agent network. There may be only a few human employees left, responsible for handling supply - chain exceptions that AI cannot solve, complex customer disputes, and formulating platform strategies and exploring new business opportunities.
But at this time, the essential change is: it is no longer humans assisting AI, but AI assisting humans.
Currently, there are some initial signs of this model. The most typical one is Robotaxi, which can be regarded as the primary stage of unmanned companies. After all, there are still people upgrading and maintaining this system. The biggest difference from the previous stage is that it prioritizes intelligence.
Level 4: Innovators - "AI - Driven Innovation Incubators"
Imagination of unmanned companies: At this stage, AI is no longer satisfied with just performing tasks but can autonomously create and innovate. At this time, the "unmanned company" is a "creative factory" capable of self - evolution, which can actively discover market gaps and create brand - new products, services, or business models.
Roles of humans and AI:
● Human: "Vision provider" and "empowerer". Humans provide the initial strategic vision, ethical framework, and resources, and jointly explore new possibilities with AI, transforming AI's creativity into large - scale business practices.
● AI: "Chief innovation officer" and "product creator". AI can not only operate the company but also actively conduct market analysis, concept generation, product design, and technology R & D, and even create brand - new business models.
Example: Imagine an AI - driven personalized drug R & D company. This company does not have a traditional R & D team, and its core is a powerful innovator AI system:
● Market Insight AI: Continuously monitors global health data and disease trends to identify unmet medical needs.
● Molecular Design AI: Autonomously designs brand - new drug molecular structures based on disease targets and patient genetic data.
● Simulation Testing AI: Conducts millions of simulation tests on the designed drugs in a virtual environment to predict their efficacy, side effects, and toxicity.
● R & D Process AI: Automatically plans and coordinates laboratory robots to conduct actual synthesis and verification experiments. The roles of human scientists and doctors in this company will be more focused on verifying AI's innovative results, supervising clinical trials, and communicating with regulatory agencies. AI is the "brain" of this company, constantly proposing new drug hypotheses and turning them into reality through an autonomous R & D process, greatly accelerating the speed and efficiency of new drug discovery.
This is similar to the previous stage, but the scope that the unmanned company model can cover has been greatly expanded. If the previous stage was more inclined to operation - oriented companies (completing operations within a specific knowledge system), this stage can cover almost all companies (the knowledge system on which the company relies can be updated in real - time).
This is why I previously said that there would be a so - called "fake GPT5". I really hope that AI can break through to this level, but obviously, it hasn't.
Level 5: Organizations - "Autonomous Ecosystems"
Imagination of unmanned companies: This is the ultimate form of "unmanned companies". AI is a completely independent and autonomously operating intelligent organization. It has a certain mission and goals, can manage, operate, and evolve by itself. It may even "incubate" new AI organizations, forming a complex AI ecosystem.
Roles of humans and AI:
● Human: "Aligner", "observer", and "beneficiary". The relationship between humans and this AI organization has gone beyond employment and cooperation and is more like a form of co - existence. Humans may provide infrastructure or energy for the AI organization, and the AI organization provides unprecedented products and services for human society.
● AI: "The company entity itself" and "autonomous life form". AI is the company. It has goals, values, and a development path, can exist and develop independently of human society, and may even form its own economic cycle.
Example: Imagine a global climate optimization network completely managed by AI. This "company" is a large - scale, distributed AI organization, and its core goal is to optimize the Earth's climate system and address climate change.
● Data Sensing AI: Collects global climate data, energy consumption data, industrial emission data, etc. in real -