- They are all founders or leaders in their respective fields.
- They have shown commitment and dedication to their work.
- They come from diverse backgrounds, including education, sports, business, and mythology.
- They have all faced challenges and obstacles, but have overcome them through determination and resilience.
- They have made significant contributions to their fields and have been recognized for their achievements.
- They all started their careers at a young age.
- They all faced challenges and overcame obstacles to achieve success.
- They all had a strong passion for their work.
- They all had a vision and were persistent in pursuing it.
- They all had a unique idea or product that filled a gap in the market.
- They all had a strong work ethic and were dedicated to their craft.
- They all had a clear vision and were persistent in pursuing it.
- They all had the ability to adapt and pivot when necessary.
- They all grew up in supportive families that encouraged their creativity and ambition.
- They all had access to education and resources that helped them develop their skills.
- They are all French or French-connected individuals who have made significant contributions to AI.
- They have a strong educational background, often in mathematics, computer science, or engineering.
- They have a history of founding and leading successful companies, often in the field of AI.
- They have a vision for the future of AI and its potential impact on society.
- They have a strong network of connections and collaborators in the AI community.
- They are often recognized for their contributions with awards, honors, and financial success.
- They are all founders or leaders of significant organizations, whether it be a university, research institute, or technology company.
- They have a strong educational background, with many holding advanced degrees or attending prestigious universities.
- They have a clear vision and drive to succeed, often leading them to overcome challenges and obstacles.
- They have a unique perspective or expertise, whether it be in technology, education, or business, that sets them apart from average people.
- They have a strong network of support, whether it be from investors, mentors, or colleagues, that helps them achieve their goals.
- They have a willingness to take risks and innovate, often leading to groundbreaking discoveries or advancements.
- They have a strong work ethic and dedication to their craft, often putting in long hours and sacrificing personal time to achieve their goals.
- They have a global perspective, with many having experience living or working in multiple countries, giving them a unique understanding of different cultures and markets.
- They have a strong sense of purpose and are driven by a desire to make a positive impact on the world.
- They have a high level of emotional intelligence and are able to effectively communicate and collaborate with others.
- They have a strong sense of resilience and are able to bounce back from setbacks and failures.
- They have a strong sense of curiosity and are constantly seeking new knowledge and challenges.
- All have made significant contributions to the field of artificial intelligence.
- All have faced challenges and setbacks in their careers.
- All have a strong work ethic and dedication to their field.
- All have a passion for innovation and a desire to push boundaries.
- Less agreeable nature. They don’t usually follow the way that major people follow without understanding the meaning.
- Openness to anything. Ability to adapt smoothly comes from there
- Emotional Intelligence ( moderate) . They are able to communicate what they found effectively.
"If I have seen further, it is by standing on the shoulders of giants." — Sir Isaac Newton
This era is bloom of artificial intelligence. People are talking to the sensible bots. Emotionally intelligent bots have handled human mind conveniently. A large number of large language models( LLM ) have been founded. But what about those genius minds who built their idea into original LLMs ? Some of them are researchers, others are company executive or leaders. What is the mystery behind their success in this tough and fast competitive era?
To feed my curiosity, I have researched 150 + LLM founders on Wikipedia with the help of LLM. It took only 20minutes to group them according to certain personality traits, compare their life history with each other and find key similarities.
Technically, grouping based on similarity of characteristics , on data points is called clustering. With python notebook I created 5 feasible clusters, based on the similarity found in summaries of wiki-text from their bio.
Notebook_link
Wanna see the results? Wow! The growing industry leaders are now data points of my chart ( with due respect)
Now for each group my question was , to find the key similarity points among their fundamental values of life. What are the key factors, that make tham apart from common people but similar to their group ? . Prompts sent by loop to the LLM I chose – Mistral 7 B.
The answers were surprising in structure!
The cluster grouping follows:
--- Cluster 0 ---
['Satya Nadella', 'Tang Jie', 'Peng Bo', 'Jensen Huang / Satya Nadella', 'Xiao Mi Team', 'Xiaodong Liu', 'Vicuna Team', 'Yuan Team', 'Gryphe', 'NVIDIA Middle East']
--- Cluster 1 ---
['Tiger Research', 'iFlytek', 'Tencent (Pony Ma)', 'ByteDance (Zhang Yiming)', 'Andrew Feldman', 'Rodrigo Liang']
--- Cluster 2 ---
['Arthur Mensch', 'Ion Stoica', 'Nous Research', 'Benoit Dageville', 'Laurent Gatto', 'Jonas Andrulis']
--- Cluster 3 ---
['Sam Altman', 'Mark Zuckerberg', 'Daniel Zhang', 'Robin Li', 'Kai-Fu Lee', 'Tsinghua University', 'Shenzhen Institute', 'SenseTime', 'Kakao Brain', 'Xavier Lee', 'Salesforce (Marc Benioff)', 'Salesforce Research']
--- Cluster 4 ---
['Demis Hassabis', 'Aidan Gomez', 'Emad Mostaque', 'Ali Farhadi', 'Naveen Rao', 'Vipul Ved Prakash', 'Ori Goshen', 'Sundar Pichai', 'Raffel et al. (Google Research)', 'Skywork AI', 'Microsoft Research Team', 'Jinwoo Shin', 'Shanghai AI Lab', 'DeepSeek AI', 'Dani Yogatama', 'Mustafa Suleyman', 'May Habib', 'Aravind Srinivas']
For the cluster 0, the LLM found similarities are:
For the cluster 1 , the LLM found similarities are:
For cluster 2 , the LLM found similarities are:
For cluster 3 , the LLM found similarities are:
For cluster 4 , the LLM found similarities are:
I could not stop there. On basis of certain value traits and age, I put the clusters on a radar.
Root effects led by causes in these lives are their unique personalities , consisted of
We often study diet of film stars , get overwhelmed by their lifestyle. But the core values that meet science for turning curiosity to success are the traits of these people. What do you think of this analysis about them ?
