The Automation Revolution Driven by AI and Encryption Technology: Bots' "ChatGPT Moment"

The emergence of ChatGPT has completely changed human expectations of artificial intelligence. However, looking back at classic science fiction works, one finds that what humanity truly dreams of is humanoid robots that can interact in the physical world.

The "ChatGPT moment" in the field of Bots is coming soon. This article will analyze how breakthroughs in artificial intelligence in recent years have changed the industry landscape, exploring how battery technology, latency optimization, and improvements in data collection will shape the future, as well as the role of encryption technology in this process. It will also explain key focus areas in verticals such as Bots safety, financing, evaluation, and education.

1. Elements of Transformation

Artificial Intelligence Breakthrough

The progress of multimodal large language models is providing the "brain" needed for Bots to perform complex tasks. Bots primarily perceive their environment through vision and hearing.

Traditional computer vision models excel at object detection or classification, but struggle to convert these into action commands. Large language models perform excellently in text understanding and generation, yet are limited by their perception of the physical world.

The Visual-Language-Action Model ( VLA ) enables Bots to integrate visual perception, language understanding, and physical action within a unified framework. The general humanoid robot control model released by a certain AI company sets a new benchmark for the industry with its zero-shot generalization capability and dual-system architecture.

Economic Bots Become a Reality

Technologies that change the world are all characterized by their accessibility. It is not surprising to imagine a world where physical labor and daily tasks are mainly performed by Bots when their prices are lower than those of regular cars or the minimum annual income.

from warehousing to consumer-grade market

Robot technology is expanding from warehousing solutions to the consumer sector. Robotics companies are no longer limited to manufacturing factory-specific robots, but are developing more versatile humanoid robots.

Cost is one of the main bottlenecks of scalability. The comprehensive cost per hour must be lower than the average wage level of the relevant industry to be competitive. To fully penetrate the warehousing sector, the comprehensive cost per hour for Bots must be below $31.39. In the largest consumer market—private education and health services—the cost must be kept below $35.18.

2. The Next Breakthrough in Bots Technology

Battery Optimization

Battery technology has always been a bottleneck for user-friendly Bots. Currently, the mainstream Bots have a single endurance of only 90 minutes to 2 hours. Autonomous charging and docking infrastructure have become key development directions. The charging of Bots mainly consists of two modes: battery replacement and direct charging.

latency optimization

Low-latency operations can be divided into two categories: environmental perception and remote control. A perception latency of less than 50 milliseconds is equivalent to human reflex speed; any delay exceeding this threshold will result in clumsy Bots movements. Therefore, 90% of decisions need to be made locally through a single vision-language-action network.

Data Collection Optimization

There are mainly three ways of data collection: real-world video data, synthetic data, and remote-controlled data. The most promising is remote-controlled data, but labor costs are the main limiting factor. Customized hardware development is also providing new solutions for high-quality data collection.

3. Key Exploration Areas

encryption technology and Bots integration

Encryption technology can improve efficiency in three areas: docking infrastructure, latency optimization, and data collection:

1. The decentralized physical infrastructure network ( DePIN ) is expected to revolutionize charging infrastructure.
2. DePIN can utilize distributed infrastructure to optimize remote control latency.
3. DePIN incentivizes third parties to provide remote control data through encryption tokens, reducing data collection costs.

Security is always a core concern.

Bots security is a key prerequisite for social acceptance. Economic security is one of the pillars of a prosperous Bots ecosystem. A certain company is building a decentralized machine coordination layer that achieves device identity authentication, physical presence verification, and resource acquisition through encryption proofs.

The third-party re-staking network can also provide equivalent security guarantees. This model not only incentivizes enterprises to prioritize security but also promotes consumer acceptance through the insurance mechanism of the staked fund pool.

4. Fill the Gaps in the Bots Technology Stack

Unlike AI, the field of Bots is difficult to enter when funds are limited. To achieve the popularization of Bots, the development threshold needs to be lowered to a level as convenient as AI application development. There is room for improvement in three areas: financing mechanisms, assessment systems, and educational ecosystems.

A certain encryption Bots company is advancing an open-source project that transforms raw hardware into economically aware upgradable intelligent agents. Visual, language, and motion planning modules can be plug-and-play like mobile applications, with all reasoning steps presented in clear English.

A structured inclusive education system is crucial for the talent supply in the Bots field. Some companies have started to launch universal education courses based on humanoid robots in K-12 public schools in the United States.

5. Future Outlook

The innovation and economies of scale of the Visual-Language-Action Model ( VLA ) have led to the emergence of cost-effective, efficient, and versatile humanoid Bots. As warehouse Bots expand into the consumer market, safety, financing models, and evaluation systems have become key areas of exploration. Encryption technology will promote the development of Bots by providing economic guarantees for safety, optimizing charging infrastructure, and enhancing latency performance and data collection pipelines.