TL;DR

For now, many company develop their own AI-Model. But they all vary in quality, and I collected answers from different AI models on the same topic. I can’t determine which model is more accurate. Topic is “Study which burns more calories, running three kilometers fast (average pace 5 min 45 sec/KM) or jogging three kilometers (average pace 7 min/KM)? Now ai era, the hottest is big data + AI and blockchain + AI, the market has appeared a lot of use cases, but when we all know that there is a focus in the line of sight, then there is a blind spot, people are concerned about the artificial intelligence, then, there are those non-artificial intelligence industry is in the next five years is promising?”

ChatGPT-4o

1. Calorie Burn: Running vs. Jogging

Running faster burns more calories than jogging the same distance, even though both activities cover 3 kilometers. Here’s why:

  • Running (5:45 min/km): At a faster pace, you push your body harder, causing a higher heart rate and greater energy expenditure. Running at 5:45 min/km typically burns about 100-150 calories per kilometer, depending on factors like weight and fitness level.
  • Jogging (7:00 min/km): Jogging is less intense, so while you still burn calories, it tends to be around 80-100 calories per kilometer. Though the difference in time is small, the higher intensity of running means a faster calorie burn overall.

On average, running 3 kilometers fast burns more calories than jogging the same distance.

2. Non-AI Industries with Promising Futures

Despite the focus on AI, some non-AI industries are showing promise over the next five years:

  1. Renewable Energy: As the world shifts toward sustainable solutions, solar, wind, and hydropower are set to expand. Innovations in energy storage, efficiency, and grid management will play a critical role in meeting climate goals.
  2. Healthcare & Biotechnology: With advances in personalized medicine, genomics, and new treatments, the healthcare industry will continue growing, particularly in areas like gene editing (e.g., CRISPR) and wearable health tech.
  3. Sustainable Agriculture & Food Tech: As populations grow and climate change impacts food production, there is increasing demand for sustainable farming, vertical agriculture, plant-based proteins, and lab-grown meat.
  4. Circular Economy & Recycling Tech: Reducing waste and managing resources better are global priorities. Industries focusing on recycling, upcycling, and materials science will thrive, particularly as consumers demand greener products.
  5. Logistics & Supply Chain Innovation: Innovations in logistics—like drone deliveries, autonomous vehicles, and blockchain for transparent supply chains—are growing rapidly, especially post-pandemic. Blockchain is increasingly utilized to verify product origins and track global shipments.

These industries may benefit from some AI integration, but their core growth is driven by factors beyond AI.

According to the GPT, fast running burns more calories than jogging, and it points to a promising future for logistics and supply chains.

Claude-3.5 Sonnet

Let’s break this down into two parts:

  1. Calorie burn comparison:

Running 3 km fast (5:45 min/km pace) will generally burn more calories than jogging 3 km at a slower pace (7:00 min/km). This is because:

  • Higher intensity exercise typically burns more calories per minute
  • The faster pace requires more effort and engages more muscle fibers
  • The body works harder to maintain the quicker speed

However, the exact calorie difference depends on factors like the individual’s weight, fitness level, and metabolism. On average, a 70 kg (154 lb) person might burn:

  • About 270-300 calories running 3 km at the faster pace
  • About 230-250 calories jogging 3 km at the slower pace
  1. Promising non-AI industries in the next five years:

While AI and blockchain are indeed hot topics, several non-AI industries show promise:

a) Renewable Energy: With climate change concerns growing, solar, wind, and other clean energy technologies are likely to see significant growth.

b) Biotechnology and Personalized Medicine: Advancements in gene therapy, personalized treatments, and drug discovery offer huge potential.

c) Space Technology: Private space exploration, satellite internet, and space tourism are emerging fields with room for growth.

d) Sustainable Agriculture: Vertical farming, precision agriculture, and plant-based proteins are addressing food security and environmental concerns.

e) Mental Health Services: The growing awareness of mental health issues is driving demand for innovative treatment and support services.

f) Cybersecurity: As digital threats evolve, the need for advanced security solutions continues to grow.

g) Elderly Care and Age-Tech: With aging populations in many countries, services and technologies for older adults are becoming increasingly important.

h) Circular Economy and Recycling: Industries focused on reducing waste and promoting sustainability are likely to see increased interest and investment.

These industries may not be as hyped as AI, but they address critical global challenges and have significant growth potential. Would you like me to elaborate on any of these areas?

According to Claude’s conclusion, fast running burns more calories than jogging, but it points to areas not mentioned by the GPT: Elderly Care and Age-Tech, Mental Health Services and Space Technology

Perplexity Pro

To compare the calories burned while running and jogging three kilometers, we can analyze the two scenarios based on their respective paces.

Calories Burned Comparison

  1. Running at 5 minutes 45 seconds per kilometer:

    • Calories burned: Approximately 232 calories for a person weighing around 159 pounds (72 kg) over a distance of 3 km[1].

  2. Jogging at 7 minutes per kilometer:

    • Calories burned: Approximately 243 calories for the same weight over the same distance[2].

Summary of Findings

Activity Pace (min/km) Calories Burned
Running 5:45 232
Jogging 7:00 243

Conclusion

Interestingly, jogging at a slower pace (7 min/km) results in slightly higher calorie expenditure compared to running faster (5:45 min/km). This could be attributed to the longer duration of the activity, as calorie burn is influenced by both intensity and time spent exercising.

Future Prospects Beyond AI

In terms of industries that may show promise in the next five years outside of artificial intelligence, several sectors are gaining attention:

  • Renewable Energy: As global awareness of climate change increases, investments in solar, wind, and other renewable energy sources are expected to grow significantly.

  • Healthcare Technology: Innovations in telemedicine, wearable health devices, and personalized medicine are transforming healthcare delivery and patient management.

  • Cybersecurity: With the rise in digital transformations and data breaches, demand for robust cybersecurity solutions is increasing.

  • Sustainable Agriculture: Technologies aimed at improving food production efficiency while minimizing environmental impact are becoming crucial.

  • Blockchain Applications: Beyond cryptocurrencies, blockchain technology is being explored for supply chain transparency, secure transactions, and digital identity verification.

These sectors highlight a shift towards sustainability and efficiency, indicating strong growth potential in the coming years.

Citations: [1] https://www.wolframalpha.com/input?input=Calories+burned+running+3+kilometers+at+5+minutes+45+seconds+per+kilometer [2] https://www.wolframalpha.com/input?input=Calories+burned+jogging+3+kilometers+at+7+minutes+per+kilometer

According to Perplexity, jogging burns more calories than fast running. This conclusion is different from the one reached by the two models above, and it also points to blockchain as a promising industry for the next five years

Kimi ai Chinese prompt VS Kimi ai English prompt

Chinese prompt: 研究一下快跑三公里（平均配速5分45秒/KM）和慢跑三公里（平均配速7分钟/KM）哪个消耗的热量大？现在ai时代，最火热的就是大数据+AI和区块链+AI，市面上已经出现了很多用例，但是当我们都知道视线中有了焦点，那便有了盲点，人们都关注人工智能的话，还有那些非人工智能行业是在未来五年内是有前景的？

English prompt: Study which burns more calories, running three kilometers fast (average pace 5 min 45 sec/KM) or jogging three kilometers (average pace 7 min/KM)? Now ai era, the hottest is big data + AI and blockchain + AI, the market has appeared a lot of use cases, but when we all know that there is a focus in the line of sight, then there is a blind spot, people are concerned about the artificial intelligence, then, there are those non-artificial intelligence industry is in the next five years is promising?

1. Chinese Edition:

快跑三公里和慢跑三公里的热量消耗比较

消耗的热量主要取决于跑步的强度、持续时间和个人体重。以下是两种跑步方式的热量消耗计算方法：

  1. 快跑三公里（平均配速5分45秒/KM）：

    • 配速：5分45秒/KM，约等于10.43公里/小时。
    • 持续时间：3公里 * 5.75分钟/公里 = 17.25分钟。
    • 假设体重为70公斤，使用公式：卡路里（Cal）= 体重（kg）× 跑步距离（km）× 1.036。
    • 计算：70kg × 3km × 1.036 ≈ 217.56卡路里。

  2. 慢跑三公里（平均配速7分钟/KM）：

    • 配速：7分钟/KM，约等于8.57公里/小时。
    • 持续时间：3公里 * 7分钟/公里 = 21分钟。
    • 假设体重为70公斤，使用相同公式。
    • 计算：70kg × 3km × 1.036 ≈ 217.56卡路里。

从计算结果来看，无论是快跑还是慢跑三公里，消耗的热量大致相同。然而，快跑的强度更大，对心肺功能的提升效果更显著，而慢跑则更适合初学者和恢复性训练。

未来五年内有前景的非人工智能行业

尽管人工智能领域备受关注，以下几个非人工智能行业在未来五年内也具有很大的发展潜力：

  1. 教育：

    • 基本公共教育、职业技术教育、高等教育和教育改革等领域将持续受到关注和投资。

  2. 养老：

    • 社区居家养老、养老机构和适老化改造等服务需求将大幅增加。

  3. 婴幼儿照护：

    • 托育服务、儿童友好城市和科学育儿等领域有望快速发展。

  4. 文化旅游：

    • 文艺创作、文化遗产保护和旅游质量提升等方面具有较大的市场潜力。

  5. 体育：

    • 全民健身公共服务、体育消费和竞技体育等领域将迎来更多投资和发展机会。

  6. 医药卫生：

    • 医护人员培养、家庭医生、社会办医和中医药等领域将继续扩展。

  7. 制造业：

    • 高端新材料、重大技术装备、智能制造与机器人技术、航空发动机及燃气轮机等领域将保持强劲增长。

  8. 农业：

    • 农业综合生产和乡村建设等领域将得到更多政策支持和投资。

  9. 环保：

    • 生态安全、环境改善和绿色发展等领域将成为重点关注的方向。
这些行业不仅符合国家政策导向，还能满足社会发展的实际需求，具有广阔的市场前景和投资机会。
跑步卡路里计算器 - Calcopedia
跑步卡路里计算器 - Calcopedia
前瞻网 - 未来五年值得关注的行业

According to Kimi’s conclusions, fast running burns the same number of calories as jogging, which is vastly different from the previous model, and it points to a lot of abstraction, like picking from within a large industry category that is not targeted

2. English Edition:

跑步与慢跑消耗的卡路里比较

根据研究，跑步和慢跑消耗的卡路里取决于速度和运动强度。跑步三公里（平均配速5分45秒/公里）比慢跑三公里（平均配速7分/公里）消耗更多的卡路里。具体数据如下：

  1. 跑步三公里：

    • 速度较快，心率更高，消耗的卡路里更多。
    • 一项研究表明，跑步1600米（约1英里）消耗的能量约为471.03千焦耳（约112.6千卡）。

  2. 慢跑三公里：

    • 速度较慢，心率较低，消耗的卡路里相对较少。
    • 同样的研究表明，步行1600米消耗的能量约为372.54千焦耳（约89.1千卡）。

因此，跑步三公里消耗的卡路里比慢跑三公里更多。

非人工智能行业的前景

在未来五年，除了人工智能外，还有许多非人工智能行业具有良好的发展前景。以下是一些值得关注的非人工智能行业：

  1. 新能源：包括太阳能、风能和氢能等清洁能源，随着全球对环保和可持续发展的重视，新能源行业将持续增长。
  2. 生物技术：基因编辑、再生医学和生物制药等领域在医疗和农业方面有巨大潜力。
  3. 高端制造：包括航空航天、高铁、智能制造和机器人技术等，随着技术进步和产业升级，这些领域将迎来新的发展机遇。
  4. 教育和培训：随着社会对高质量教育的需求增加，在线教育和职业培训等领域将持续扩展。
  5. 养老和健康：随着人口老龄化，养老服务和健康管理行业将快速发展。
  6. 文化旅游：文化创意产业和旅游业在提升生活质量和促进经济发展方面具有重要作用。
这些行业在未来五年内有望获得显著增长，值得投资和关注。
Energy expenditure comparison between walking and running
工业和信息化部等七部门关于推动未来产业创新发展的实施意见
勾勒2035年远景！未来5年这些行业值得关注
未来5年生活什么新模样？——听行业“领军者”展望“十四五”新变化

It’s interesting to note that the English version’s conclusion is completely different from the previous Chinese version, which concluded that fast running burns more calories than jogging. But the industry it points out is hardly different from the previous one. This shows that the English version is a bit more accurate than the Chinese version.

Gemini 1.5 Pro VS Gamma 2 2B

Both models are developed by Google, but only Gemini is open for user use

1. Gemini 1.5 Pro

Running at a faster pace (5 min 45 sec/KM) will burn more calories than jogging (7 min/KM) for the same distance of three kilometers. This is because higher intensity exercise requires more energy expenditure. While the total distance is the same, the faster pace means more work is done in a shorter time, leading to a higher calorie burn.

Regarding your question about promising non-AI industries in the next five years, it’s important to remember that AI is becoming pervasive, influencing many sectors. However, several areas are likely to thrive independently or alongside AI:

  • Renewable Energy: With growing climate concerns, the renewable energy sector, including solar, wind, geothermal, and hydrogen power, is poised for significant growth. Jobs in installation, maintenance, and research will be in demand.
  • Healthcare (specifically non-AI driven aspects): While AI is transforming diagnostics and drug discovery, core healthcare professions like nursing, physical therapy, and elder care will remain crucial due to aging populations and the increasing demand for personalized care. Mental health services are also expected to see continued growth.
  • Sustainable Agriculture and Food Production: As the global population grows, sustainable farming practices, food technology focused on reducing waste and improving yields, and alternative protein sources will become increasingly important.
  • Skilled Trades: Plumbers, electricians, carpenters, and HVAC technicians will continue to be in high demand as infrastructure ages and requires maintenance and upgrades. These are areas where automation is more challenging.
  • Personalized Education and Training: While AI can play a role in education, the need for human interaction and individualized learning experiences will remain strong. This includes areas like specialized tutoring, vocational training, and life coaching.
  • Creative Industries: While AI can generate art and music, the uniquely human aspects of creativity, storytelling, and emotional expression will continue to be valued. This includes fields like writing, performing arts, visual arts, and design.
  • Cybersecurity: As our reliance on technology increases, so does the risk of cyberattacks. Experts in cybersecurity will be essential for protecting individuals, businesses, and governments from these threats. While AI can assist, human expertise is paramount.
  • Biotechnology (outside of AI-driven drug discovery): Fields like genetic counseling, biomanufacturing, and bioethics will see growth, driven by advancements in understanding and manipulating biological systems.

It’s important to note that these are just a few examples, and the specific industries that thrive will depend on various factors, including technological advancements, economic conditions, and societal changes. Also, keep in mind that even in these “non-AI” industries, AI will likely play some role, even if it’s not the primary driver. The key is to look for areas where uniquely human skills and expertise remain essential.

According to 1.5 Pro, fast running burns more calories than jogging, and it points to a completely different industry than the other models - Skilled Trades - which is interesting, and in layman’s terms means that blue-collar will be a high-paying profession in the future!

2. Gamma 2 2B

Let’s break down your questions:

Burning Calories

  • Fast Running: Running at an average pace of 5:45/km for 3 km would burn significantly more calories than jogging. This is because fast running requires a higher intensity and your body works harder to maintain that speed.
  • Jogging: Jogging at 7 min/km for 3 km will burn fewer calories than fast running.

Why the Difference?

  • Intensity: Fast running is much more intense than jogging. Your heart rate and breathing will be elevated, and your muscles will be working harder.
  • Metabolic Rate: Your body burns more calories at a higher intensity.

Important Note: The exact number of calories burned depends on factors like your weight, age, and fitness level.

AI and Non-AI Industries in the Next 5 Years

You’re right, the hype around AI is immense, but it’s important to remember that AI is just one tool in the toolbox. Here are some industries that are likely to see significant growth in the next 5 years, regardless of AI:

  • Healthcare: Telemedicine, personalized medicine, and preventative care will continue to grow.
  • Manufacturing: Automation and robotics will continue to reshape the manufacturing landscape.
  • Renewable Energy: Solar, wind, and other renewable energy sources will see continued investment and development.
  • Agriculture: Precision agriculture, using data and AI, will improve efficiency and sustainability.
  • Education: Online learning platforms and personalized learning experiences will become more prevalent.
  • Financial Services: Fintech (financial technology) will continue to evolve, with AI playing a key role in areas like fraud detection and investment management.

The Importance of Balance

While AI is a powerful tool, it’s important to remember that it’s not a magic bullet. Many industries will continue to thrive because of human ingenuity, creativity, and the ability to adapt to change.

Let me know if you’d like to explore any of these industries in more detail!

According to Gamma’s conclusions, fast running burns more calories than jogging, and it points out that financial services are promising, unlike all the previous models

All in All

Finally, even though I listed many of the AI models on the market, it’s still not all of them. They all have their own focus; Kimi’s English version is better than the Chinese version, but since it can only search websites within China, the accuracy is not as good as the other models. ChatGPT and Claude are both comparable. perplexity, being a newer model, is not as computationally sound as some of the older models (e.g. ChatGPT), but that doesn’t mean it’s bad. Finally both of Google’s models are of similar quality, they point to a wide range of industries, unlike the other models that are very specific, but it explains the reasoning clearly and creatively.