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You’re Still Using AI Like It’s 2023

In an era where AI technology has advanced significantly, many are still stuck using it as they did in 2023. This article explores how to leverage advanced AI frameworks for greater efficiency and effectiveness in various applications.

May 25, 2026|2 min read|Social Signal Playbook Editorial

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The Thesis

Many users are still employing AI in outdated ways, missing opportunities for efficiency and innovation.

“A lot of people talk about using AI, they're just not using it the right way. They're using it like 2023 chat GPT.”
Eric Siu/You’re Still Using AI Like It’s 2023

Context & Analysis

As we delve into the evolution of AI applications since 2023, it becomes evident that many users remain entrenched in outdated methodologies. This stagnation not only limits potential productivity but also hinders innovation across various sectors.

The shift from basic AI interactions—often characterized by open loops and manual follow-ups—to more sophisticated frameworks, such as end-to-end workflows and closed-loop systems, is crucial for maximizing AI's capabilities. "A lot of people talk about using AI, they're just not using it the right way.

They're using it like 2023 chat GPT," highlights the need for a paradigm shift in how we engage with AI. This article will explore the implications of these advanced frameworks, the necessity for recursive self-improvement in AI systems, and the future landscape of AI in business operations and content creation.

For those ready to evolve, mastering these advanced workflows will be essential for staying competitive in the marketplace. Learn more about AI in business operations.

“You're basically asking a lot of questions, you're asking a lot of follow-ups and things like that. You're going back and forth all the time, right? And maybe some stuff you have manual follow-up... stuff just doesn't get done.”
Eric Siu/You’re Still Using AI Like It’s 2023

Why It Matters

The landscape of AI has undergone significant transformation since 2023, driven by advancements in technology and the increasing complexity of user needs. The emergence of autonomous AI agents capable of executing tasks with minimal human intervention marks a pivotal shift. As noted, "When you use AI to help yourself build end-to-end workflows... you will input what you want as a human being...

the AI thinks in this middle process... " This highlights a critical evolution: AI is no longer just a tool for answering questions; it has become an integral part of operational workflows. The demand for second-order AI infrastructure is growing, as businesses seek to implement systems that not only respond but also learn and adapt over time.

The skill set required to build these advanced workflows is becoming increasingly valuable, as those who can navigate this new landscape will significantly outperform their peers.

The transition from open loops—where tasks remain incomplete and require constant manual follow-up—to closed loops, where AI systems are self-improving and capable of delivering completed tasks, is essential for any organization aiming to thrive in this new era. Explore more about autonomous AI agents.

“When you use AI to help yourself build end-to-end workflows... you will input what you want as a human being... the AI thinks in this middle process... and then you get a deliverable to review.”
Eric Siu/You’re Still Using AI Like It’s 2023

Playbook Moves

How to apply this strategically in the next 30 days.

  • 01Assess current AI usage and identify areas for improvement.
  • 02Invest in training programs focused on advanced AI workflows.
  • 03Experiment with autonomous AI tools to automate repetitive tasks.

Key Takeaways

  • Transition from open loops to closed loops in AI usage to enhance productivity.
  • Develop skills in building end-to-end AI workflows to stay competitive.
  • Leverage autonomous AI agents for task execution and efficiency.
  • Understand the importance of recursive self-improvement in AI systems.
  • Recognize the growing demand for second-order AI infrastructure in business operations.
“Most people I would say are operating with in open loops. Maybe they're just using ChatGPT Claude. You want to get to this level over here where it's actually doing useful work for yourself.”
Eric Siu/You’re Still Using AI Like It’s 2023

Future Predictions & Calls to Action

  • Invest in training for advanced AI workflow development.
  • Explore partnerships with AI infrastructure providers.
  • Implement pilot programs to test closed-loop AI systems in operations.

What Has Changed Since

Since 2023, the AI landscape has seen the introduction of more sophisticated models and frameworks that enable seamless integration of AI into business processes. Notably, the rise of autonomous AI agents has transformed how tasks are executed, allowing for greater efficiency and reduced manual oversight. Tools like Open Claude and Whisper Flow have emerged, offering capabilities that extend beyond simple query responses to complex task management. This shift necessitates a reevaluation of how organizations utilize AI, moving from basic interactions to comprehensive systems that can autonomously manage workflows and improve over time. As a result, businesses that fail to adapt to these advancements risk falling behind in a competitive marketplace where efficiency and innovation are paramount.

Frequently Asked Questions

What are open loops in AI usage?
Open loops refer to workflows where tasks are incomplete and require continuous manual follow-up. This method is inefficient as it often leads to lost productivity and missed opportunities for automation.
How can I transition to closed-loop AI systems?
Transitioning to closed-loop systems involves integrating AI that can autonomously manage tasks and improve over time. This requires investing in the right tools and training to develop end-to-end workflows that minimize manual intervention.
What is the significance of recursive self-improvement in AI?
Recursive self-improvement allows AI systems to learn from their experiences and optimize their performance over time. This capability is crucial for creating more efficient workflows and enhancing overall productivity.
Why is mastering advanced AI workflows important for businesses?
Mastering advanced AI workflows is essential for businesses to remain competitive. As AI technology evolves, those who can effectively implement sophisticated systems will outperform those who rely on outdated methods.
What tools should I consider for advanced AI usage?
Consider tools like ChatGPT, Claude, and other autonomous AI agents that facilitate end-to-end workflows. These tools can help streamline operations and improve task management.
How can I assess the effectiveness of my AI systems?
To assess effectiveness, monitor key performance indicators such as task completion rates, time saved, and user satisfaction. Regularly review and adjust workflows to ensure they align with your business goals.

Works Cited & Evidence

1

You’re Still Using AI Like It’s 2023

primary source·Tier 3: Low-Authority Context·Leveling Up with Eric Siu·May 25, 2026

Primary source video

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2

Transcript generated from source audio

primary source·Tier 3: Low-Authority Context·ytdlp

Auto-generated transcript retrieved via ytdlp

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Disclosure: This analysis was generated with AI assistance based on publicly available video content. All quotes are attributed to their original source with timestamps. Social Signal Playbook provides independent editorial analysis and is not affiliated with the individuals or organizations discussed.

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