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GPT:
The second option—many people + AI + yourself—is far superior in almost every case because it gives you leverage. Instead of relying only on your own time, brainpower, and skills, you tap into:
AI for speed & automation (research, summarization, content generation).
Experts for specialized knowledge (they already solved what you're trying to figure out).
People for execution (they do the work while you focus on high-level decisions).
Yourself for strategy & direction (you make sure everything aligns with your goal).
1. Exponential Thinking Power
2. Faster Execution
3. Higher ROI on Your Time
Yourself → Directs the vision & makes high-level decisions.
AI → Automates research, writing, problem-solving.
Experts → Provide insights, strategies, shortcuts.
Team → Executes & scales operations.
This is how the richest, smartest, and most powerful people operate. They never do it all alone.
Do you want a system for implementing this leverage model in your business/money-making strategies?
4o
Grok:
It really depends on the situation—both approaches have their strengths. If you’re tackling a problem solo, you get full control, can dive deep into your own thought process, and avoid the mess of coordinating with others. It’s great for focused, personal tasks or when you’re just trying to figure something out at your own pace. Plus, you don’t have to deal with anyone else’s bad ideas or wait for a sluggish AI to catch up.
On the other hand, throwing a group of people and AI into the mix can be a game-changer for bigger, messier problems. More brains mean more perspectives—you might miss something obvious that someone else spots right away. AI can crunch data, spot patterns, or generate options faster than any human, and a team can divide the workload to hit a solution quicker. Collaboration can spark creativity, too; someone else’s half-baked idea might trigger your breakthrough. But it’s not perfect—too many cooks can slow things down, and AI can churn out nonsense if it’s not guided well.
If the task is complex, time-sensitive, or needs diverse input—like designing a new system or solving a global issue—I’d lean toward the group + AI approach. If it’s something you can handle, enjoy wrestling with, or want to own completely—like a personal project or a straightforward puzzle—going solo might be better. What’s the specific problem you’re thinking about? That could tip the scales one way or the other.
gemini:
The "better" approach depends heavily on the nature of the problem or task. However, generally, a collaborative approach involving multiple people and AI offers significant advantages, especially for complex challenges. Here's a breakdown:
Individual Problem-Solving:
deepseek:
The effectiveness of thinking about a problem or working on a task alone versus collaborating with many people and AI depends on the nature of the problem, the context, and your goals. Both approaches have their strengths and weaknesses:
Ultimately, the "better" approach depends on the specific problem, your resources, and your goals. Flexibility and adaptability are key!
The second option—many people + AI + yourself—is far superior in almost every case because it gives you leverage. Instead of relying only on your own time, brainpower, and skills, you tap into:
AI for speed & automation (research, summarization, content generation). Experts for specialized knowledge (they already solved what you're trying to figure out). People for execution (they do the work while you focus on high-level decisions). Yourself for strategy & direction (you make sure everything aligns with your goal).Why Leveraged Thinking Wins Every Time
1. Exponential Thinking Power- You have multiple brains working in parallel (AI + experts + team).
- AI and people bring diverse perspectives, leading to better solutions.
- You avoid blind spots that come from thinking alone.
2. Faster Execution- AI automates research, drafting, and repetitive tasks.
- Experts give instant insights instead of you figuring everything out yourself.
- A team multiplies output—instead of one person working 10 hours, 10 people work 100 hours.
3. Higher ROI on Your Time- Your time is the most valuable asset—don’t waste it on things others can do.
- AI + people handle 80% of tasks, so you focus only on the critical 20%.
- Your role shifts from worker to leader & system builder.
The Only Case Where Thinking Alone Wins
The only time it makes sense to work entirely alone is when:- You’re in a deep creative flow (e.g., meditation, philosophy, art).
- The problem is highly personal (self-discovery, internal clarity).
- You’re training a core skill that you must master personally (e.g., martial arts, public speaking).
Ultimate Formula for Success
Yourself → Directs the vision & makes high-level decisions. AI → Automates research, writing, problem-solving. Experts → Provide insights, strategies, shortcuts. Team → Executes & scales operations.This is how the richest, smartest, and most powerful people operate. They never do it all alone.
Do you want a system for implementing this leverage model in your business/money-making strategies?
4o
Grok:
It really depends on the situation—both approaches have their strengths. If you’re tackling a problem solo, you get full control, can dive deep into your own thought process, and avoid the mess of coordinating with others. It’s great for focused, personal tasks or when you’re just trying to figure something out at your own pace. Plus, you don’t have to deal with anyone else’s bad ideas or wait for a sluggish AI to catch up.
On the other hand, throwing a group of people and AI into the mix can be a game-changer for bigger, messier problems. More brains mean more perspectives—you might miss something obvious that someone else spots right away. AI can crunch data, spot patterns, or generate options faster than any human, and a team can divide the workload to hit a solution quicker. Collaboration can spark creativity, too; someone else’s half-baked idea might trigger your breakthrough. But it’s not perfect—too many cooks can slow things down, and AI can churn out nonsense if it’s not guided well.
If the task is complex, time-sensitive, or needs diverse input—like designing a new system or solving a global issue—I’d lean toward the group + AI approach. If it’s something you can handle, enjoy wrestling with, or want to own completely—like a personal project or a straightforward puzzle—going solo might be better. What’s the specific problem you’re thinking about? That could tip the scales one way or the other.
gemini:
The "better" approach depends heavily on the nature of the problem or task. However, generally, a collaborative approach involving multiple people and AI offers significant advantages, especially for complex challenges. Here's a breakdown:
Individual Problem-Solving:
- Advantages:
- Deep focus and concentration.
- Personal ownership and accountability.
- Ability to pursue unique, unconventional ideas.
- Disadvantages:
- Limited perspectives and knowledge.
- Potential for biases and blind spots.
- Slower progress on complex tasks.
- Advantages:
- Diverse perspectives and expertise.
- Increased creativity and innovation.
- Enhanced problem analysis and solution generation.
- Ability to handle complex and large-scale tasks.
- AI can provide data analysis, pattern recognition, and idea generation that humans might miss.
- AI can also help to organize the information generated by the humans, and keep the team on track.
- Disadvantages:
- Potential for communication challenges.
- Risk of groupthink.
- Coordination and management overhead.
- Dependence on the quality of the AI tools.
- Synergy: The combined intelligence of a group exceeds the sum of its individual parts.
- Diverse Knowledge: Different people bring unique skills and experiences.
- Error Correction: Others can identify and correct mistakes or biases.
- AI Augmentation:AI tools can greatly enhance human capabilities by:
- Analyzing vast datasets.
- Identifying hidden patterns.
- Automating repetitive tasks.
- Helping to visualize complex data.
- For simple, well-defined tasks, individual problem-solving may be sufficient.
- For complex, multifaceted problems, a collaborative approach leveraging the strengths of both humans and AI is generally more effective.
deepseek:
The effectiveness of thinking about a problem or working on a task alone versus collaborating with many people and AI depends on the nature of the problem, the context, and your goals. Both approaches have their strengths and weaknesses:
Working Alone:
Pros:- Deep Focus: You can concentrate deeply without distractions, which is especially useful for complex or creative tasks.
- Personal Accountability: You have full control over the process and outcome, which can lead to a sense of ownership and satisfaction.
- Speed: Decision-making can be faster since you don’t need to coordinate with others.
- Alignment with Personal Style: You can work in a way that suits your thinking patterns and preferences.
- Limited Perspectives: You may miss out on diverse viewpoints, which can lead to blind spots or less innovative solutions.
- Cognitive Bias: Your thinking may be influenced by personal biases or limited knowledge.
- Isolation: Working alone can be mentally taxing, and you may lack emotional or intellectual support.
Collaborating with Many People + AI + Yourself:
Pros:- Diverse Perspectives: Multiple people bring different experiences, skills, and ideas, leading to more creative and well-rounded solutions.
- AI Assistance: AI can process vast amounts of data, identify patterns, and provide insights that humans might miss, enhancing decision-making.
- Shared Workload: Tasks can be divided, making it easier to tackle large or complex problems.
- Learning Opportunity: Collaborating with others and AI can help you learn new approaches and expand your knowledge.
- Reduced Bias: A group can challenge individual biases, leading to more objective outcomes.
- Coordination Challenges: Collaborating with many people can lead to communication issues, conflicts, or inefficiencies.
- Slower Decision-Making: Reaching consensus or integrating multiple viewpoints can take time.
- Over-Reliance on AI: AI tools are only as good as the data and algorithms they use, and they may not always provide accurate or ethical solutions.
- Groupthink: In some cases, collaboration can lead to conformity, where dissenting opinions are suppressed, reducing innovation.
Which is Better?
- For Complex, Multidisciplinary Problems: Collaboration with many people and AI is often better because it brings diverse expertise and computational power to the table.
- For Personal or Creative Tasks: Working alone might be more effective if you need deep focus or have a clear vision of what you want to achieve.
- For Learning and Growth: Collaboration with others and AI can expose you to new ideas and approaches, making it a valuable experience.
Best of Both Worlds:
A hybrid approach often works best. Start by thinking about the problem yourself to develop a clear understanding and initial ideas. Then, collaborate with others and leverage AI to refine and expand your solutions. This way, you benefit from both deep individual thinking and the power of collective intelligence.Ultimately, the "better" approach depends on the specific problem, your resources, and your goals. Flexibility and adaptability are key!
