Update README.md

README.md

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-## Our mission is to democratize good machine learning.
+## We have a unique communication style at Hugging Face that consists of three pillars:
 
-#### **As a platform, we are doing this by empowering the community through open and collaborative technology building at the intersection of science, engineering, and humanities.**
+- **Decentralization**
+    - Decentralization means that decision-making is distributed throughout Hugging Face, rather than being concentrated at the leadership level.
+    - Each of our teams is responsible for its own decision-making. Decisions should be made as close as possible to the team members who are directly involved in creating and implementing the work.
+    - Teams at Hugging Face operate with a high degree of autonomy and have the freedom to choose how they meet their goals and objectives. This leads to higher levels of innovation and creativity, as well as a greater sense of ownership.
+- **Transparency**
+    - Always, always, always default to public Slack channels when asking questions and sharing information internally. This allows all team members access to important information.
+    - When communicating externally, default to having public discussions openly in GitHub and/or the Community Tab in the Hugging Face Hub to encourage input from our users and greater community.
+    - Share what you are working on as early as possible and ask for feedback. Keep us involved in each step of the process. We can leverage our diverse mindset to make amazing things.
+- **Candor & Direct Feedback**
+    - We do not shy away from feedback because that’s what makes us better faster stronger 💪
+    - We encourage individuals from varied backgrounds, identities, and perspectives to speak openly from the standpoint of their expertise to build consensus. This is an inclusive approach that fosters diverse viewpoints.
+    - Give your opinion and feedback freely, even if (especially if) it is negative and constructive. We want to foster healthy debates and appreciate all perspectives. Your insights and expertise are important, and all opinions contribute to our growth.
+    - We foster an environment that values and recognizes contributions. We encourage a collaborative and appreciative atmosphere within our broader community.
 
-**#1 A strong bias for action, impact, and simplicity.** We measure impact through usage, visibility, or revenue. We are practical, pragmatic, and action-driven. Learning is best achieved through doing: we launch, then iterate and improve. When facing an opportunity or challenge, we actively take charge, assume responsibility, and find solutions. We prioritize action over perfection in most situations.
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-**#2 A generalist, diverse, and value-informed mindset.** We thrive on multidisciplinarity and are passionate about all aspects of machine learning, from science and engineering to its societal and business impact. We are committed to expanding both our individual and collective impact, even if it requires venturing beyond our comfort zones, job descriptions, or existing areas of expertise.
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-**#3 A progressive, nimble, and decentralized approach.** We are constantly evolving and value the process of learning more than our current level of knowledge. We like doing things differently than other companies, taking risks, reflecting critically on what we have done, and fixing mistakes fast. We welcome scrappiness, distributed systems & bias for simplicity. This mindset grants us the freedom to pursue unconventional paths and encourages experimentation.
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-**#4 A kind ambition.** We are ambitious but humble. We aim big in our work but don’t take it or ourselves too seriously. We recognize that there are more important things in life, like health & family. We strive to be nice human beings, to have fun, and to work healthily and sustainably on topics with teams that excite us.
 
 |![Hugging Face Logo](https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo-with-title.svg)|
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