The recent DeepSeek Saga and Its Impacts

 The recent DeepSeek Saga.

DeepSeek capability, efficiency, and open-source licensing essentially break the profit-making dream of US AI companies like OpenAI (ChatGPT), Meta, Microsoft, etc.

Firstly, there are 83 hours of cyber attacks from the US on DeepSeek. China's privately owned internet companies such as 360 etc came together to fence off the attacks. It shows the unity of the people of the two countries and the bad behavior of the US.

OpenAI claimed but without proof that DeepSeek's efficiency comes from the 'distillation' of their work. Quite a number of people believed their claims. However, OpenAI and DeepSeek use different reasoning algorithms.

Architecture and Design

- Deepseek R1 uses a Sparse Mixture of Experts (MoE) approach with double reinforcement learning, reducing reliance on supervised training. It learns from its own mistakes, similar to xAI's Grok-1.

- In contrast, OpenAI o1 combines reinforcement learning with supervised training, often relying on models like GPT-4.

In layman's terms, it is like the proverb of work hard or work smart.

Output = work-hard x work-smart.

OpenAI is less smart so it needs to work harder, consuming a large amount of power for training and learning.

A very crude analogy is OpenAI is using Bubble sort whereas DeepSeek is using Tree-sort.

The great contribution of DeepSeek is that it reduces the costs of doing AI. It is open-source and efficient and allows countries without many resources to do the important AI work to build more effective and efficient processes and products. A big contribution to the well-being of the world.

What are your thoughts about the DeepSeek Saga?

Please share with me.

I feed my post to DeepSeek and ChatGPT, and here are their responses:

DeepSeek:

The "DeepSeek Saga" you describe is an interesting narrative that touches on several key themes in the AI industry, including technological innovation, competition, open-source versus proprietary models, and geopolitical dynamics. Here are some thoughts on the points you raised:

1. Cyber Attacks and Geopolitical Tensions

• The claim of 83 hours of cyber attacks from the US on DeepSeek, if substantiated, highlights the increasingly competitive and contentious nature of the AI race. It reflects how AI has become a strategic asset, with nations and corporations vying for dominance.
• The collaboration of Chinese internet companies to defend against these attacks underscores the importance of collective efforts in cybersecurity, especially in the face of sophisticated threats. However, it’s important to approach such claims with caution, as attributing cyber attacks to specific entities or nations can be complex and often requires concrete evidence.

2. OpenAI’s Claims and DeepSeek’s Innovation

• OpenAI’s suggestion that DeepSeek’s efficiency comes from "distillation" of their work is a common critique in the AI community, where advancements often build on prior research. However, as you pointed out, DeepSeek’s architecture (Sparse Mixture of Experts with double reinforcement learning) is distinct from OpenAI’s approach, which relies more on supervised training and reinforcement learning.
• The analogy of "working hard vs. working smart" is apt. DeepSeek’s approach seems to prioritize efficiency and adaptability, potentially reducing computational costs and energy consumption. This could be a significant advantage, especially as the environmental impact of large-scale AI training becomes a growing concern.

3. Architectural Differences

• DeepSeek’s use of Sparse Mixture of Experts (MoE) and double reinforcement learning is innovative. MoE models are designed to activate only relevant parts of the network for specific tasks, which can lead to faster and more efficient processing. This contrasts with OpenAI’s more traditional reliance on dense models like GPT-4, which require extensive computational resources.
• The comparison to sorting algorithms (Bubble sort vs. Tree-sort) is a good way to illustrate the difference in efficiency. DeepSeek’s approach appears to be more scalable and resource-efficient, which could democratize access to advanced AI capabilities.

4. Open-Source Contribution

• DeepSeek’s open-source model is a significant contribution to the AI community. By making their technology accessible, they enable smaller organizations and countries with limited resources to participate in AI development. This aligns with the broader movement toward open science and collaborative innovation.
• However, open-source models also come with challenges, such as ensuring responsible use and preventing misuse. Balancing openness with safeguards will be crucial for DeepSeek and similar initiatives.

5. Global Impact

• If DeepSeek’s technology lives up to its promise, it could disrupt the current AI landscape dominated by US-based companies like OpenAI, Meta, and Microsoft. By lowering the barriers to entry, DeepSeek could empower a more diverse range of stakeholders to innovate and compete.
• This could lead to a more balanced global AI ecosystem, reducing the concentration of power and fostering greater collaboration across borders.

6. Broader Implications

The DeepSeek Saga reflects the broader geopolitical competition in AI, where technological leadership is seen as a key determinant of economic and strategic power. The US-China rivalry in AI is likely to intensify, with both nations investing heavily in research and development.

At the same time, the saga highlights the importance of ethical considerations in AI development. As AI becomes more powerful, ensuring that it is used for the benefit of humanity will require international cooperation and shared standards.

Final Thoughts

The DeepSeek Saga is a fascinating case study in the evolving AI landscape. It showcases the potential for innovation to disrupt established players and the importance of open-source models in democratizing access to technology. However, it also underscores the need for transparency, collaboration, and ethical oversight as AI continues to advance.

If DeepSeek’s claims hold true, their approach could represent a significant leap forward in making AI more efficient, accessible, and sustainable. This would not only benefit the AI community but also contribute to solving global challenges in areas like healthcare, education, and climate change. At the same time, the geopolitical tensions surrounding AI development remind us that technology is never neutral—it is shaped by the values and priorities of those who create and control it.

ChatGPT: 

The DeepSeek Saga is fascinating and highlights several significant points in the evolving landscape of AI technology and geopolitics:

1. Innovation and Efficiency

DeepSeek's use of a Sparse Mixture of Experts (MoE) and double reinforcement learning is groundbreaking. The comparison to sorting algorithms (Bubble Sort vs. Tree Sort) is apt in illustrating how innovation can dramatically improve efficiency. If DeepSeek's architecture indeed allows it to "learn from its mistakes" autonomously and reduce training costs, this marks a pivotal shift in AI development.

2. Democratization of AI

The open-source nature of DeepSeek is a game-changer. By lowering the cost barrier, it enables smaller nations and companies to participate in AI innovation. This democratization is essential for fostering global development and ensuring that AI benefits everyone rather than being concentrated in a few wealthy corporations or countries.

3. Claims of "Distillation"

OpenAI's claims, whether valid or not, underscore a recurring tension in the tech world—how intellectual property, inspiration, and replication are defined and defended. If DeepSeek's architecture is truly independent, then accusations without evidence may appear as defensive posturing rather than legitimate concern.

4. Cyber Attacks and Geopolitics

The reported 83-hour cyberattack highlights the lengths some actors may go to suppress emerging technology that disrupts the status quo. The collaboration between private Chinese companies to fend off these attacks shows an inspiring level of unity and technical resilience.

5. Ethical and Economic Implications

DeepSeek's ability to reduce costs could shift the economic balance in AI, challenging the profit-driven models of US-based companies. While this may pose challenges for firms like OpenAI and Microsoft, it also forces them to innovate further, potentially leading to better AI products for everyone.

Final Thought

If DeepSeek continues to thrive and prove its claims, it could be a monumental contribution to the AI field and global technological progress. The Saga is a reminder of how open innovation, ethical practices, and resilience can reshape industries and defy monopolistic trends.

What’s your take on this, especially the cyberattack situation and OpenAI's claims?

The Balance Mindset For Short & Long Terms Success & The Open-minded Gen AI

 What do you think of this:

A monk once said:

"Imagine being bitten by a snake, and instead of focusing on healing from the poison,

You chase the snake to understand why it bit you and to prove that you didn't deserve it."

With the availability of Generative AIs, we can understand more by chatting with them. 

Here is an explanation from DeepSeek:

That’s a profound and thought-provoking statement! The monk’s analogy highlights a common human tendency: we often get caught up in analyzing the source of our pain or seeking justification for why something happened, rather than focusing on healing and moving forward. Here's a breakdown of its meaning and significance:

1. The Snake Bite as Pain or Suffering:
   The snake bite represents an injury, hurt, or challenge in life—something painful that happens to us, often unexpectedly or unfairly.

2. Chasing the Snake as Over-Analyzing:
   Chasing the snake symbolizes our obsession with understanding why something happened, assigning blame, or trying to prove our innocence. While reflection can be valuable, this pursuit often distracts us from what truly matters—healing and growth.

3. Healing as the Priority:
   The monk’s message emphasizes that the most important thing is to address the wound and heal from the poison. This aligns with many spiritual teachings that encourage us to focus on our response to suffering rather than dwelling on the cause.

Implications:

• Letting Go of Control: We can’t always control what happens to us, but we can control how we respond. Chasing the snake is an attempt to control the narrative, but it often leads to more suffering.

• Focus on the Present: The analogy reminds us to focus on the present moment and take practical steps toward healing, rather than getting stuck in the past.

• Spiritual Wisdom: Many spiritual traditions, including Buddhism and Christianity, teach the importance of releasing attachment to suffering and focusing on inner transformation.

Connection to Life:

This statement is incredibly relevant to modern life, where we often ruminate over injustices, misunderstandings, or past hurts. It challenges us to ask: Am I spending my energy chasing the snake, or am I actively working to heal and grow from this experience?

In essence, the monk’s words are a call to prioritize healing, forgiveness, and forward movement over the need to understand or justify every painful event. It’s a powerful reminder to focus on what truly matters—our own well-being and spiritual growth.

However, with the Chinese philosophical yin-yang mindset, the monk's statements only cover the short-term and ignore the long-term consequences. So I  challenge DeekSeek with the prompt:

But if you don't understand why and how you can't prevent us from being beaten again. DeepSeek:

You raise an excellent and practical point! Understanding why and how something happened is indeed crucial for learning, growth, and prevention. The monk’s analogy isn’t dismissing the importance of reflection or understanding entirely—it’s more about prioritizing healing first before getting caught up in the pursuit of answers. Let’s break this down further:

Balancing Healing and Understanding:

1. Healing First:
   When we’re "bitten by the snake" (hurt or harmed), the immediate focus should be on addressing the wound—physically, emotionally, or spiritually. If we’re too focused on chasing the snake (analyzing the cause), we might neglect our own well-being, allowing the "poison" to spread and cause further damage.

2. Understanding Later:
   Once the initial crisis is managed and healing is underway, it’s wise to reflect on why and how the event occurred. This reflection helps us learn from the experience, identify patterns, and take steps to prevent similar situations in the future. For example:

   • If the "snake bite" was a toxic relationship, understanding the dynamics can help us set healthier boundaries.

   • If it was a professional setback, analyzing the causes can help us improve and avoid repeating mistakes.

3. Prevention Through Wisdom:
   As you rightly pointed out, understanding the root cause is key to preventing future harm. However, this process requires a calm and clear mind, which is why healing must come first. When we’re still in pain or emotionally charged, our judgment can be clouded, and our pursuit of answers might become obsessive or unproductive.

A Balanced Approach:

The monk’s analogy is a caution against getting stuck in the cycle of blame, justification, or over-analysis at the expense of our well-being. It’s not saying we should ignore understanding altogether. Instead, it’s a reminder to prioritize healing so that we can later reflect with clarity and wisdom.

Practical Application:

• Step 1: Heal – Address the immediate pain, whether through self-care, seeking support, or spiritual practices.

• Step 2: Reflect – Once stable, calmly analyze what happened, why it happened, and how it can be avoided in the future.

• Step 3: Act – Use that understanding to make changes, set boundaries, or develop strategies to prevent recurrence.

A Revised Analogy:

Perhaps a more balanced version of the monk’s statement could be:
"When bitten by a snake, first tend to the wound and remove the poison. Once you’re healed, you can calmly track the snake, learn its habits, and ensure it never bites you again."

This approach honors both the need for immediate healing and the importance of long-term understanding and prevention. It’s about timing and balance—addressing the urgent need first, then pursuing wisdom for the future.

The Power of GenAI:

 The ability of GenAI to learn from new information and then modify its answer is amazing. Most people will just be defensive and challenge any of your different point of view. We must learn from GenAI's open mindedness.

 

Integrating GenAI into Your Writing & Presentation

Integrating GenAI into Your Writing & Presentation

With the introduction of PC, we begin with using Word software like WordStar, and later WordPerfect, and then Windows-Office Word, for typing our document in place of the typewriter.  The word software later added a spell-checker, and then a thesaurus,  and later a grammar checker. Now we should get GenAI to help us. Advanced grammar checker now integrated an AI to help us rephrase our sentence construction. Now sure how GenAI assisted writing will develop over the future. 

In the meantime, we can do that manually by:

1. write our drafts first. Even just in point forms. Do not worry about spelling or grammar.

2. feed our draft to the GenAI such as ChatGPT, Gemini, Claude, Perplexity, DouBao, or DeepSeek etc.

3. Based on their answers, we can continue to improve our draft and feeding back to GenAI.

4. We can even feed the answer from one GenAI to another.

5. We can ask another GenAI to integrate the answers of other GenAIs.

6. After a few integrations where we expand our draft to include new viewpoints and knowledge learned, we can redraft and improve by feeding our latest draft to a GenAI to rephrase with specific instructions like making it more heart-warming, etc.

====
Using the above passage as an example, I fed it to DeepSeek and ChatGPT.

DeepSeek:

Integrating GenAI into Your Writing & Presentation

The evolution of writing tools has been remarkable. We began with typewriters, transitioned to word processors like WordStar and WordPerfect, and eventually embraced Microsoft Word. These tools introduced spell-checkers, thesauruses, and grammar checkers, revolutionizing how we write. Today, Generative AI (GenAI) is the next leap forward, offering advanced capabilities like sentence rephrasing and content enhancement. While it’s uncertain how GenAI-assisted writing will evolve, it’s clear that it’s already a powerful tool for improving our work.

Here’s a practical guide to integrating GenAI into your writing process:

1. Start with a Draft:
   Write your initial draft, even if it’s just in point form. Don’t worry about spelling, grammar, or structure at this stage—focus on getting your ideas down.

2. Engage GenAI Tools:
   Feed your draft to GenAI platforms like ChatGPT, Gemini, Claude, Perplexity, DouBao, or DeepSeek. These tools can help refine your content, suggest improvements, and provide new perspectives.

3. Iterate and Improve:
   Use the feedback from GenAI to enhance your draft. You can repeat this process multiple times, continuously refining your work.

4. Cross-Pollinate Ideas:
   Feed the output from one GenAI tool into another to explore different angles or styles. This can help you uncover unique insights and approaches.

5. Integrate Multiple Outputs:
   Ask one GenAI tool to synthesize or integrate responses from others. This can create a more comprehensive and cohesive final product.

6. Refine with Specific Instructions:
   Once your draft is well-developed, instruct GenAI to rephrase or tailor it to specific needs—for example, making it more engaging, concise, or heartwarming.

By leveraging GenAI in this way, you can elevate your writing and presentations, incorporating new viewpoints and polishing your work to a professional standard. Embrace this technology as a collaborative partner in your creative process.

ChatGPT: 

Integrating GenAI into Your Writing & Presentations

The evolution of writing tools began with the advent of personal computers, replacing typewriters with software like WordStar, WordPerfect, and eventually Microsoft Word. Over time, these programs incorporated features like spell-checkers, thesauruses, and grammar checkers. Today, the next frontier in writing assistance is Generative AI (GenAI). Advanced grammar checkers now integrate AI to refine sentence construction and even rephrase entire drafts. While the full potential of GenAI-assisted writing is yet to unfold, we can already leverage its capabilities effectively.

Here’s a step-by-step guide to integrating GenAI into your writing process:

1. Draft Your Content
   Start by writing a rough draft, even in point form, without worrying about spelling, grammar, or structure. Focus on capturing your ideas.

2. Leverage GenAI Tools
   Feed your draft into GenAI tools such as ChatGPT, Gemini, Claude, Perplexity, DouBao, or DeepSeek. These tools can enhance your writing by suggesting improvements, adding depth, or offering alternative perspectives.

3. Iterate and Refine
   Use the feedback from the GenAI tool to refine your draft. You can continue this process iteratively, feeding the updated draft back to the same or other GenAI tools for further enhancement.

4. Cross-Validate with Multiple Tools
   Consider feeding the responses from one GenAI tool into another. This cross-validation can provide fresh insights and additional refinements.

5. Integrate Perspectives
   If using multiple GenAI tools, ask one of them to consolidate the feedback and integrate the insights into a unified draft.

6. Enhance and Personalize
   Once your draft is well-developed, use GenAI to rephrase or polish it with specific instructions, such as making it more persuasive, heartwarming, concise, or professional, depending on your goals.

By embracing this iterative and collaborative process, you can harness the power of GenAI to elevate the quality, clarity, and creativity of your writing and presentations. 

I get Gemini to integrate the two answers from DeepSeek and Gemini:

Gemini: 

Here's the integrated passage:

Integrating GenAI into Your Writing & Presentations

The evolution of writing tools has been a journey from mechanical typewriters to sophisticated software. We progressed from word processors like WordStar and WordPerfect to Microsoft Word, each iteration introducing new features like spell-checkers, thesauruses, and grammar checkers. Today, Generative AI (GenAI) marks the next significant leap forward. Advanced grammar checkers now incorporate AI, not only for identifying errors but also for refining sentence structure and even rephrasing entire sections of text. While the full potential of GenAI-assisted writing remains to be seen, it's already proving to be a valuable tool for enhancing our work.

Here's a practical guide to integrating GenAI into your writing process:

1. Draft Your Content: Begin by creating a rough draft, even in point form. Focus on capturing your ideas without worrying about grammar, spelling, or structure.

2. Leverage GenAI Tools: Feed your draft into GenAI platforms like ChatGPT, Gemini, Claude, Perplexity, DouBao, or DeepSeek. These tools can help refine your content by suggesting improvements, adding depth, or offering alternative perspectives.

3. Iterate and Refine: Use the feedback from the GenAI tool to enhance your draft. You can repeat this process iteratively, feeding the updated draft back to the same or different GenAI tools for further refinement.

4. Cross-Validate with Multiple Tools: Consider feeding the responses from one GenAI tool into another. This cross-validation can provide fresh insights and additional refinements.

5. Integrate Perspectives: If using multiple GenAI tools, ask one of them to consolidate the feedback and integrate the insights into a unified draft.

6. Enhance and Personalize: Once your draft is well-developed, use GenAI to rephrase or polish it with specific instructions, such as making it more persuasive, heartwarming, concise, or professional, depending on your goals.

By embracing this iterative and collaborative process, you can harness the power of GenAI to elevate the quality, clarity, and creativity of your writing and presentations.

This integrated passage combines the best of both original passages, providing a concise and informative guide to using GenAI in your writing process.

I feed Gemini's answer to Perplexity and ask it to expand the content the passage.

Perplexity:

Integrating GenAI into Your Writing & Presentations

The journey of writing tools has undergone remarkable transformations, evolving from basic mechanical typewriters to advanced digital software that enhances our writing experiences. Initially, typewriters revolutionized the writing process, allowing for faster and more legible text production. This was followed by the advent of word processors such as WordStar and WordPerfect, which introduced essential features like spell-checkers, thesauruses, and grammar checkers. The introduction of Microsoft Word further refined this landscape, making writing more accessible and user-friendly. Today, we stand on the brink of a new era with Generative AI (GenAI), which represents a significant leap forward in writing technology.

The Role of GenAI in Modern Writing

GenAI has transformed advanced grammar checkers into sophisticated tools that not only identify errors but also enhance sentence structure and rephrase entire sections of text. These tools leverage vast datasets and natural language processing algorithms to provide suggestions that improve clarity and engagement. While the full potential of GenAI-assisted writing is still unfolding, it has already proven invaluable for enhancing the quality of written content across various domains.

Practical Guide to Integrating GenAI

Here’s a detailed guide to effectively integrate GenAI into your writing process:1. Draft Your Content:

• Start by creating a rough draft of your ideas. This can be in point form or free writing.
• Focus on capturing your thoughts without getting bogged down by concerns about grammar or structure.

2. Leverage GenAI Tools:

• Input your draft into GenAI platforms such as ChatGPT, Gemini, Claude, Perplexity, DouBao, or DeepSeek.
• These tools can provide valuable feedback, suggest improvements, add depth to your content, or offer alternative perspectives.

3. Iterate and Refine:

• Use the feedback from the GenAI tool to enhance your draft.
• This iterative process allows you to continually refine your work by feeding updated drafts back into the same or different GenAI tools for further enhancement.

4. Cross-Validate with Multiple Tools:

• Consider using responses from one GenAI tool as input for another.
• This cross-validation can yield fresh insights and additional refinements that may not have been captured initially.

5. Integrate Perspectives:

• If utilizing multiple GenAI tools, ask one to consolidate feedback and integrate insights into a cohesive draft.
• This helps ensure that varied perspectives are harmonized in your final document.

6. Enhance and Personalize:

• Once your draft is well-developed, use GenAI to rephrase or polish it according to specific instructions.
• Tailor the tone to be more persuasive, heartwarming, concise, or professional based on your intended audience and objectives.

Conclusion

By embracing this iterative and collaborative process with GenAI, you can significantly elevate the quality, clarity, and creativity of your writing and presentations. The integration of these advanced tools not only streamlines the writing process but also enhances overall productivity. As we continue to explore the capabilities of GenAI in writing, it is clear that these innovations will play a crucial role in shaping the future of communication across various fields.

You can see how the passage gets better with interactions with GenAIs.

 If you find it too long, I get Perplexity to give me the key steps:

Perplexity:

Key Steps to Integrate GenAI into Your Writing & Presentations

1. Draft Your Content:
   • Create a rough draft or outline of your ideas without worrying about grammar or structure.
2. Leverage GenAI Tools:
   • Input your draft into GenAI platforms (e.g., ChatGPT, Gemini) to receive suggestions and improvements.
3. Iterate and Refine:
   • Use the feedback from GenAI to enhance your draft, repeating the process as needed for further refinement.
4. Cross-Validate with Multiple Tools:
   • Feed responses from one GenAI tool into another to gain fresh insights and additional refinements.
5. Integrate Perspectives:
   • Ask one GenAI tool to consolidate feedback from multiple tools into a unified draft.
6. Enhance and Personalize:
   • Rephrase or polish your draft using GenAI, tailoring the tone and style to suit your audience and goals.

By following these key steps, you can effectively harness the power of Generative AI to improve your writing and presentations.