Surfing Innovator: The Life and Achievements of Laird Hamilton

Early Years and Mastery of Traditional Surfing

After mastering traditional surfing as a teenager in Hawaii, Laird Hamilton devoted the rest of his life to leading innovation in the sport.

Innovations in Surfing

Laird Hamilton’s passion for innovation in surfing led him to work with different teams to invent, refine, and popularize various surfing disciplines. He was instrumental in the development of:

Tow-in Surfing

Tow-in surfing, a technique that involves being pulled towards the wave by a jet-ski or a boat, revolutionized the sport and opened up new possibilities for surfers.

Hydrofoil Surfing

Hamilton’s work on hydrofoil surfing, which uses a floating board with a wing-like design to lift the surfer out of the water, has enabled riders to catch even bigger waves.

Stand-up Paddle Surfing

He also played a key role in popularizing stand-up paddle surfing, which involves using a paddle to propel oneself through the water while standing on a surfboard.

Beyond Surfing

Hamilton’s passion for innovation extends beyond the surf. He has:

Starred in Surf Films and Documentaries

Appeared in several surf films and documentaries, showcasing his skills and sharing his love for the sport.

Launched a Nutritional Food Business

Started a company focused on healthy, sustainable food options, reflecting his commitment to living a balanced lifestyle.

Developed Training Programs for Amateur and Professional Athletes

Created training programs for surfers of all levels, helping them to improve their skills and reach new heights in the sport.

Conclusion

Laird Hamilton’s dedication to innovation and his passion for surfing have left an indelible mark on the sport. His contributions have inspired a new generation of surfers and pushed the boundaries of what is possible in the world of surfing.

FAQs

• What is Laird Hamilton’s background in surfing?

  He started surfing as a teenager in Hawaii and went on to master traditional surfing.

• What are some of Laird Hamilton’s most notable achievements in surfing?

  He has invented, refined, and popularized tow-in, hydrofoil, and stand-up paddle surfing.

• What else has Laird Hamilton been involved in outside of surfing?

  He has starred in surf films and documentaries, launched a nutritional food business, and developed training programs for amateur and professional athletes.

Deep Research: A New Tool for Artificial Intelligence

Let Her (Him?) Rip!

I presented a query to ChatGPT’s new Deep Research tool to learn more about the controversy surrounding DeepSeek and its impact on Nvidia and other semiconductor providers. The query was as follows: “I would like some help writing a research report about the controversy surrounding DeepSeek and its impact on Nvidia and other semiconductor providers. Specifically, I watched a Smart Money episode yesterday where the talking head surmised that “nobody needs an H100″ anymore, much less a Blackwell. But Jensen Huang claims the inference of reasoning models, the future of conversational AI, requires 100 times the compute power of a simple ChatGPT search. Can you outline the cases, the growth of inference vs training, and perhaps provide some forecasts? Focus on high-level, with a few financial details as support. Focus on Nvidia, but include AMD and the Cloud providers’ ASICs which cannot (yet) run reasoning models well. Don’t focus on Deep seek, but rather the general market disruption over a 1-3 year timeframe.”

The Report

After 6 minutes, ChatGPT’s Deep Research read 42 sources and produced a well-laid-out report, covering 13 pages and 4720 words. The report is available on my website to avoid using AI to write a piece for Forbes.

Deep Seek Impact On Nvidia Overblown

The CNBC talking head knows a lot more about investing (theoretically) than AI and industry trends. While some may refute Deep Seek’s claims of the number and type of GPU’s used to create V3 and the reasoning chatbot R1, it will lower the cost of training and reasoning inference. We should see every foundation model builder adopt it or something like it. However, the six minutes ChatGPT required to create the report, and the outstanding content it produced, validate Jensen Huang’s assertion and the value of reasoning models.

So, How Good Was ChatGPT?

In short, it was amazing. The bot produced a report that includes:

* Training vs. Inference: Diverging Compute Demands in Conversational AI
* The Shift to Inference: From One-Time Training to Everyday AI Services
* “Nobody Needs an H100 Anymore”? The Push for Cheaper Inference
* NVIDIA’s Blackwell Generation: Upping the Ante for Training and Inference
* Cloud Providers’ ASICs: Google and Amazon Bet on In-House Silicon
* Outlook: Inference Growth, Market Forecasts, and Financial Implications

Each section was insightful and objective, and I did not detect any errors.

In Summary, What Did We Learn?

I learned that my intuition and experienced viewpoints on this controversy are the same as ChatGPT, for better or worse. I also learned that ChatGPT Deep Research can be an excellent research tool, the likes of which can help analysts learn more about topics and test hypotheses. Or it could replace us!

Conclusion

I hope this article provides insight into the potential of ChatGPT’s Deep Research tool and its ability to produce high-quality research reports. I also hope it provides a more in-depth understanding of the impact of DeepSeek on Nvidia and other semiconductor providers.

FAQs

Q: What is ChatGPT’s Deep Research tool?
A: ChatGPT’s Deep Research tool is a new feature that allows users to conduct research on a topic and receive a well-researched report in return.

Q: How did you use the tool?
A: I used the tool to research the controversy surrounding DeepSeek and its impact on Nvidia and other semiconductor providers.

Q: How accurate was the report?
A: The report was very accurate, with no detected errors.

Q: How much did the tool cost?
A: The tool cost about $2 to run, which is 200 times more than a simple inference query.

Q: What did you learn from the report?
A: I learned that my intuition and experienced viewpoints on this controversy are the same as ChatGPT, and that ChatGPT Deep Research can be an excellent research tool.

The Limitations of Human Processing: Why AI-Powered Insights are Crucial for Data-Driven Decision Making

The Rise of Data-Driven Decision Making

Many companies have adapted to a "data-driven" approach for operational decision-making. The idea is that data can improve decisions, and it’s true – but it requires the right processor to get the most from it.

The Limitations of Human Processing

The term "data-driven" even implies that data is curated by – and summarized for – people to process. However, human processing has several limitations. Humans are prone to biases, emotional decision-making, and cognitive biases, which can lead to incorrect conclusions and poor decision-making. Additionally, humans have limited capacity to process large amounts of data, making it difficult to analyze complex patterns and trends.

The Need for AI-Powered Insights

In today’s data-intensive world, it’s essential to have a processor that can handle vast amounts of data, identify patterns, and provide accurate insights in real-time. Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged as the new frontier in data processing. These technologies can:

• Analyze vast amounts of data quickly and accurately
• Identify patterns and trends that would be difficult or impossible for humans to detect
• Provide real-time insights and recommendations
• Adapt to changing data and environments

The Benefits of AI-Powered Insights

By leveraging AI-powered insights, organizations can:

• Improve decision-making accuracy and efficiency
• Reduce costs and increase productivity
• Enhance customer experience
• Stay ahead of the competition

Conclusion

In conclusion, while human processing has its limitations, AI-powered insights have the potential to revolutionize the way we make decisions. By combining the strengths of both, organizations can unlock the full potential of data-driven decision making and achieve superior results.

FAQs

• What are the limitations of human processing?
  • Humans are prone to biases, emotional decision-making, and cognitive biases, which can lead to incorrect conclusions and poor decision-making.
• What are the benefits of AI-powered insights?
  • They can analyze vast amounts of data quickly and accurately, identify patterns and trends, provide real-time insights and recommendations, and adapt to changing data and environments.
• Can AI-powered insights replace human processing entirely?
  • No, AI-powered insights should be used in conjunction with human processing to leverage the strengths of both and achieve superior results.