(Disclaimer: The following represents personal opinions only and does not reflect the position of any company)
1. Clear Shift Toward Applications:
The AI industry is moving steadily from foundational models toward real-world
(Disclaimer: The following represents personal opinions only and does not reflect the position of any company)
1. Clear Shift Toward Applications:
The AI industry is moving steadily from foundational models toward real-world
(Disclaimer: The following represents personal opinions only and does not reflect the position of any company.)
1. The deep integration of artificial intelligence and hardware is a key area to watch for the future.
(Disclaimer: The following represents personal opinions only and does not reflect the position of any company.)
1. The deep integration of artificial intelligence and hardware is a key area to watch for the future.
(Disclaimer: The following represents personal opinions only and does not reflect the position of any company.)
1. The AI wave continues to surge and is expanding deeply across industries, with no signs of slowing down.
(Disclaimer: The following represents personal opinions only and does not reflect the position of any company.)
1. The AI wave continues to surge and is expanding deeply across industries, with no signs of slowing down.
(Disclaimer: The following represents personal opinions only and does not reflect the position of any company.)
1. Incremental Progress: The human body is a complex system, and breakthroughs in longevity science are more
(Disclaimer: The following represents personal opinions only and does not reflect the position of any company.)
1. Incremental Progress: The human body is a complex system, and breakthroughs in longevity science are more
1. Biological therapy technologies continue to advance, but challenges such as high costs, complex procedures, and difficulties in scaling remain unresolved, leading to relatively slow industrialization.
1. Biological therapy technologies continue to advance, but challenges such as high costs, complex procedures, and difficulties in scaling remain unresolved, leading to relatively slow industrialization.
1. The Era of Biopharmaceuticals Has Established Its Dominance:
The overall outlook for the pharmaceutical industry remains unchanged—biopharmaceuticals have become the core driver and main growth engine of the sector.
1. The Era of Biopharmaceuticals Has Established Its Dominance:
The overall outlook for the pharmaceutical industry remains unchanged—biopharmaceuticals have become the core driver and main growth engine of the sector.
1. Every stable phase of society follows certain patterns.
2. By understanding the key technologies and core winning strategies of an era, we can deduce the underlying trends that define it.
1. Every stable phase of society follows certain patterns.
2. By understanding the key technologies and core winning strategies of an era, we can deduce the underlying trends that define it.
1. A New General Analysis Method for the AI Era
In unfamiliar domains, tools like GPT can help rapidly build analytical frameworks and generate preliminary insights.
1. A New General Analysis Method for the AI Era
In unfamiliar domains, tools like GPT can help rapidly build analytical frameworks and generate preliminary insights.
1. Mesoscopic (Mid-Level) Analysis Is Crucial
- Macroeconomic factors only accelerate or decelerate the pace of technological transformation.
- Real insight comes from analyzing changes at the industry level, not just macro trends.
1. Mesoscopic (Mid-Level) Analysis Is Crucial
- Macroeconomic factors only accelerate or decelerate the pace of technological transformation.
- Real insight comes from analyzing changes at the industry level, not just macro trends.
Current & Future Trends in AI Marketing & Customer Service
1. AI Marketing & Customer Service in Its Second Wave
- The current trend focuses on enhancing and optimizing existing data and user bases.
Current & Future Trends in AI Marketing & Customer Service
1. AI Marketing & Customer Service in Its Second Wave
- The current trend focuses on enhancing and optimizing existing data and user bases.
1. Scaling Law Remains Valid
Hardware upgrades will continue to drive computing power competition.
2. Inference Evolution Becomes a Key Focus
The surge in inference demand requires close monitoring.
1. Scaling Law Remains Valid
Hardware upgrades will continue to drive computing power competition.
2. Inference Evolution Becomes a Key Focus
The surge in inference demand requires close monitoring.
AI Applications Are Rapidly Becoming Agent-Based
1. The Shift Toward AI Agents
Whether in software development or large language models, AI applications are increasingly evolving toward an agent-based paradigm.
AI Applications Are Rapidly Becoming Agent-Based
1. The Shift Toward AI Agents
Whether in software development or large language models, AI applications are increasingly evolving toward an agent-based paradigm.
1. Cloud AI vs. Edge AI:
* Cloud AI is better suited for developing general-purpose large models, exploring Artificial General Intelligence (AGI), or pursuing the path of "universal" AI.
1. Cloud AI vs. Edge AI:
* Cloud AI is better suited for developing general-purpose large models, exploring Artificial General Intelligence (AGI), or pursuing the path of "universal" AI.
1. SaaS Sector to Lead AI Market Growth in 2025: The SaaS industry is expected to be the primary driver of AI market expansion next year.
1. SaaS Sector to Lead AI Market Growth in 2025: The SaaS industry is expected to be the primary driver of AI market expansion next year.
1. AI Industry’s New Trends: The development of AI is shifting towards ecosystem-driven, decoupled, and increasingly complex structures.
1. AI Industry’s New Trends: The development of AI is shifting towards ecosystem-driven, decoupled, and increasingly complex structures.
1. The future of industries follows certain predictable trends while also containing uncertain variables. By systematically analyzing key variables and constructing future scenarios, we can establish a framework for continuous tracking.
1. The future of industries follows certain predictable trends while also containing uncertain variables. By systematically analyzing key variables and constructing future scenarios, we can establish a framework for continuous tracking.
1. From an industry perspective, artificial intelligence is transitioning from the introduction phase to the expansion phase, with the Agent paradigm moving toward practical implementation.
1. From an industry perspective, artificial intelligence is transitioning from the introduction phase to the expansion phase, with the Agent paradigm moving toward practical implementation.
Understanding Social Development Cycles to Anticipate the Future
Understanding Social Development Cycles to Anticipate the Future
Key Insights from CES and the AI Industry Trends
1. CES as a Predictor of Trends
- The CES exhibition provides a glimpse into trends for the next 6-12 months, showcasing how AI is rapidly permeating various industries.
Key Insights from CES and the AI Industry Trends
1. CES as a Predictor of Trends
- The CES exhibition provides a glimpse into trends for the next 6-12 months, showcasing how AI is rapidly permeating various industries.
Seizing the Opportunities of Our Era
1. Understanding the Opportunities of Our Time
- Technological Revolution: The rise of AI and other transformative technologies marks a new wave of opportunities for development and innovation.
Seizing the Opportunities of Our Era
1. Understanding the Opportunities of Our Time
- Technological Revolution: The rise of AI and other transformative technologies marks a new wave of opportunities for development and innovation.
yaoli0615.substack.com?r=4x26nq&utm...
yaoli0615.substack.com?r=4x26nq&utm...
Key Insights on Global Economic and Market Trends
1. U.S. Economy
- Technological advancements continue to sustain economic growth.
Key Insights on Global Economic and Market Trends
1. U.S. Economy
- Technological advancements continue to sustain economic growth.
1. Formation of an AI Technology Ecosystem
* AI is at the core of a rapidly forming ecosystem of interrelated technologies.
1. Formation of an AI Technology Ecosystem
* AI is at the core of a rapidly forming ecosystem of interrelated technologies.
1. #Startups are still in the exploratory phase of generative services, focusing on areas with relatively complete data and clear monetization opportunities as their initial breakthrough.
1. #Startups are still in the exploratory phase of generative services, focusing on areas with relatively complete data and clear monetization opportunities as their initial breakthrough.