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Publications
- **🪩 Zero goes 3D! UGC Contest is here!**
Galverse's main character Zero has finally made it into three dimensions thanks to the work of superstar modeler HappyPaca!
**🏆 $ 1,000s worth of prizes including a 3D version of your Gal!**
We've teamed up with the @lens/bonsai team to give away heaps of amazing prizes, including 50,000+ $BONSAI tokens!
Beyond the prizes, our team will also be collecting entry posts made on @lens/orb, meaning you have the chance to earn $BONSAI just by entering!
**💫 Four fun categories to try out!**
Use the 3D Zero VRM model to make an amazing entry in any of the four categories below!
📷 Best Image!
📼 Best Animated Clip!
💃 Best Dance / Karaoke Video!
😆 Best Meme!
**❓ How to enter!**
Post your entry on the @club/bonsai club and make it a collectible post with a $BONSAI price!
You can find all the details + the 3D Zero model in the Galverse Discord -> discord.gg/Galverse
And also in the Galverse Orb Club @club/galverse !
Good luck Gals!
- Addressing these challenges requires a comprehensive approach considering technological, social, economic, and legal factors, while continuously exploring and innovating DAO governance models and mechanisms.
- Technical Standards and Interoperability: Different DAO platforms may adopt different technical standards and protocols, lacking interoperability, which can isolate DAOs and limit their functionality.
Funds Management and Sustainable Development: DAOs may encounter challenges in funds management and sustainable development, including fund allocation, project selection, and revenue sources. Ensuring effective fund utilization and the long-term sustainability of projects is a crucial consideration.
- Community Fragmentation and Conflict: Participants in DAOs may hold different opinions, leading to community fragmentation and conflicts that can hinder decision-making and execution.
Legal and Regulatory Challenges: Due to the novelty and complexity of the Web3 ecosystem, DAOs may face legal and regulatory challenges concerning compliance, taxation, and the applicability of cross-border laws.
- Governance Efficiency and Participation: Despite the design of DAOs to enhance participation and decentralized governance, actual decision-making may suffer from low participation rates and voting turnout, leading to inefficiencies in governance.
Security Vulnerabilities and Attacks: DAO platforms may be susceptible to security vulnerabilities such as smart contract bugs or malicious attacks, resulting in financial losses and trust issues.
- In Web3, DAOs (Decentralized Autonomous Organizations) may face several challenges and difficulties, including:
- "Discipline is sacrificing what
you want now, for what you want most."
- "Knowledge without implementation is useless,
Wisdom without experience is worthless.
Stop watching life from the sidelines,
Step into the arena."
- One Piece new episode 1101
Lufffy with glasses 🔥
- Sometimes you have to become villain to save your loved ones 😞
- **ONE PIECE LOOPHOLE**
What if my friend ate the ope ope nomi then he used immortality surgery on me and he dies ☠️. After his death I find and ate the ope ope nomi then can I perform the immortality surgery on anyone without death☠️?
- 8. Public Perception and Adoption:
Despite the potential benefits, blockchain and AI technologies may face public perception challenges due to concerns about privacy, security, and potential job displacement. Addressing these concerns through education, transparency, and responsible development is crucial for gaining public trust and fostering wider adoption.
Overcoming these challenges requires a collaborative effort from researchers, developers, industry experts, and policymakers to establish best practices, promote standardization, and foster responsible innovation in the integration of blockchain and AI. By carefully addressing these challenges, the synergy between blockchain and AI can unlock transformative solutions for various industries and shape a more secure, efficient, and intelligent future.
- 6. Interoperability and Standardization:
Different blockchain platforms and AI frameworks often have their own standards and protocols, making it challenging to achieve interoperability and seamless communication between different systems. Establishing standardized protocols and promoting interoperability are essential for widespread adoption.
7. Energy Consumption and Sustainability:
Certain blockchain consensus mechanisms, particularly Proof-of-Work (PoW), can be energy-intensive, raising concerns about their environmental impact. Integrating AI models, which also require computational resources, further adds to the energy consumption considerations. Sustainable solutions and energy-efficient consensus mechanisms need to be explored.
- 4. Algorithmic Bias and Fairness:
AI models can inherit biases from the data they are trained on, leading to discriminatory or unfair outcomes. In the context of blockchain-based applications, this can have serious consequences, particularly in areas like finance, lending, and social interactions. Ensuring algorithmic fairness and mitigating bias is crucial.
5. Regulatory Landscape and Legal Uncertainty:
The regulatory landscape surrounding blockchain and AI is still evolving, and there is a degree of legal uncertainty regarding the application of these technologies in various sectors. Navigating these regulatory complexities and ensuring compliance with emerging regulations pose significant challenges.
- 2. Data Privacy and Security:
Blockchain's decentralized and transparent nature, while beneficial for immutability and trust, can pose challenges when dealing with sensitive data. AI models often rely on large amounts of data for training and operation, raising concerns about data privacy, security, and compliance with data protection regulations.
3. Computational Requirements:
AI algorithms, especially those involving complex models like deep learning, can be computationally intensive and require significant processing power. Integrating these AI models with blockchain networks, which are often resource-constrained due to their decentralized nature, can strain computational resources and potentially impact scalability.
- 1. Technical Complexity:
Developing and deploying a project that seamlessly integrates blockchain and AI requires a deep understanding of both domains and the ability to bridge their complexities. This necessitates expertise in blockchain architecture, cryptography, distributed consensus mechanisms, AI algorithms, machine learning techniques, and data management.
- Combining Blockchain and AI: Potential Challenges and Considerations
Integrating blockchain technology and artificial intelligence (AI) has the potential to revolutionize various industries by enhancing security, efficiency, and automation. However, combining these two powerful technologies also presents unique challenges that need to be carefully addressed.
- g(y)m
inspired by @lens/nader
- In summary, the competition in artificial intelligence between China and the US is a complex and multi-dimensional process. Both countries are constantly striving to enhance their competitiveness in this field, and they also influence and interact with each other to a certain extent.
- International Cooperation and Competition: Despite competition in the AI field between China and the US, there are also areas where cooperation is possible, such as in standard setting, technology exchange, and talent cultivation. At the same time, there are also competitions and frictions between China and the US in areas such as intellectual property protection and technology export.
- Policies and Regulations: China and the US have different approaches to policies and regulations in the AI field. The Chinese government adopts a more centralized approach to promoting AI development, while the US government relies more on market mechanisms and enterprise competition to drive innovation.
- Data Accumulation: The development of artificial intelligence relies heavily on vast amounts of data, and both China and the US possess substantial data resources. China has a massive number of internet users, generating massive amounts of data, while the US has accumulated large volumes of data in fields such as healthcare, science, and finance.
- Talent and Research: Both China and the US have abundant excellent scientists, engineers, and researchers who are intensively studying and innovating in the field of artificial intelligence. The Silicon Valley region in the US and cities like Beijing and Shenzhen in China are hubs for AI talent and innovative companies.
- Investment and Funding: The governments, businesses, and venture capitalists of both China and the US have poured substantial funds into the AI field. China has put forward strategies such as "Made in China 2025" and "New Infrastructure," with AI as one of the key development areas. The US government is also pushing for AI development, especially in defense, healthcare, and scientific research.
- The competition in artificial intelligence (AI) between China and the United States is one of the most prominent contests in the global technology arena. Both China and the US are actively investing in, researching, and promoting the development of AI technologies, aiming to achieve a leading position in this field. Here are some key aspects of the AI competition between China and the US:
- **📍Astana, Kazakhstan** 🇰🇿
In Astana, everything is new. Architectural marvels have been erected practically in the middle of nowhere. Unimaginable amounts of money have been invested, creating a city that lacks only one thing: PEOPLE! The streets still seem empty, as the population density in Astana, as well as in all of Kazakhstan, is quite low. Yet, somehow, that's part of the charm of this destination—it's completely different from all the others.
Astana is still largely unknown to much of the world, with its biggest boom experienced in 2017 when the city hosted the "EXPO" exhibition. I've had the opportunity to attend only the "EXPO" in Dubai during its time, and now we've toured the national pavilion in Astana, which is still open to tourists. It looks futuristic now; I can only imagine how it was when it first opened.
After visiting the "EXPO," we continued to the Nur Sultan Mosque. You might ask, didn't Astana change its name to Nur-Sultan? Yes, the city was called Nur-Sultan from 2019-2022 in honor of Kazakhstan's first president, Nursultan Nazarbayev, but it was renamed back to Astana.
Now, back to the mosque—it's truly spectacular, both inside and out. The characteristic blue color of the Kazakhstani flag dominates the mosque's colors. This is one of the largest mosques in the world and the largest in Central Asia, accommodating around 230,000 worshipers simultaneously, and it's open to tourists.
At the last location, you can see another gigantic structure: the largest tent in the world, called "Khan Shatyr" (pay attention to the language similarities), housing a shopping center and an amusement park.
On this day, the snow seriously started to fall, and as much as I missed it this winter, after spending a few minutes outside, I was glad that most activities were scheduled indoors... #tobecontinued
- 📍**Astana, Kazakhstan** 🇰🇿
My Second NOVRUZ 🌷
For those who followed me last year when I was in Iran, surely you remember the story of Novruz, the holiday celebrated in this part of the world. Persian, spring New Year, call it Novruz as you wish, but in any case, it's a symbol of new birth and hope.
Novruz falls around March 21st, when spring officially begins on our calendar, always on the vernal equinox, when day and night are of equal length. The roots of Novruz celebrations come from the religion of Zoroastrianism, considered the precursor to many world religions. Over the centuries, Novruz has often been banned in these countries, either due to strict conservative Islamic rulers or the Soviets, but the tradition has managed to survive to this day. It's a very joyful holiday, but also the longest celebrated, lasting from 10 to 14 days!
Last year, I celebrated Novruz in an Iranian home, with my friend Farshad who used to live in Serbia, in an intimate atmosphere, and this year at a gala celebration at the Astana Opera. The Ministry of Foreign Affairs of Kazakhstan organized a grand celebration for diplomats, and it was a great honor for me to be among them. Many ambassadors came dressed in their traditional attire, making the celebration even more emotional. I didn't expect such an event, so maybe my wardrobe wasn't the most adequate. I don't think anyone minded; everyone thought I was some kind of athlete 😁
There was dancing, singing, getting acquainted with Kazakh culture, customs, and food.
The most interesting encounter for me was with the "berkutchi" and "batyr." Berkutchi were once hunters of golden eagles, and today they are guardians since hunting wild eagles is prohibited; only those from strictly controlled breeding grounds are allowed. Berkutchi symbolize the love between man and bird. The eagle is the berkutchi's best friend, whom he must care for and regard as a family member. When the berkutchi tames the eagle, it becomes his hunter, mostly for foxes. Among most Turkic peoples, the golden eagle and falcon are sacred animals.
About the batyrs, Kazakh warriors and the only people taller than me in Kazakhstan 😄 I'll write about them a little later, as we're yet to meet them.
Let me know if you knew about the Novruz holiday and how you like such a celebration! 🫶🏽
- Fort Kochi, Kerala (India) on a Fujifilm
This city in India has a great influence of Portugese, British, Dutch and traditional Indian culture. There are churches that are over 400 years old and there are Dutch and Indian palaces. This is where Vasco De Gama was burried.
- Lens Network or Lens Chain?
- Don't miss dis szn
- The social layer → the social chain
- 1.Fundamental Knowledge: Build a strong foundation in mathematics and computer science, including
linear algebra, probability statistics, calculus, algorithms, and data structures. These fundamentals are
crucial for understanding core concepts and algorithms in artificial intelligence.
2.Programming Skills: Master at least one programming language (such as Python, Java, C++, etc.) and
familiarize yourself with commonly used libraries and frameworks in the field of AI (such as TensorFlow,
PyTorch, etc.). Proficiency in programming is essential for implementing and applying AI models.
3.Deep Dive into Machine Learning and Deep Learning: Understand the basic principles, common
algorithms, and techniques of machine learning and deep learning, including supervised learning,
unsupervised learning, reinforcement learning, etc. Deep learning plays a significant role in today's AI
field, so understanding neural networks and deep learning models is crucial.
4.Hands-on Projects: Reinforce your knowledge through hands-on projects and develop the ability to
solve practical problems. Participate in online competitions (such as Kaggle), contribute to open-source
projects, or build your projects to apply AI technologies.
5.Keep Up with the Latest Developments: The field of AI is evolving rapidly, so it's essential to constantly
keep track of the latest research findings, technological advancements, and industry applications.
Reading academic papers, attending conferences, and staying updated on industry trends are effective
ways to stay current.
6.Interdisciplinary Integration: AI involves multiple disciplines, including computer science, mathematics,
statistics, neuroscience, etc. Therefore, broaden your horizons and engage in interdisciplinary learning
to gain different perspectives and insights into AI.
7.Ethics and Societal Impact: Learning AI is not just about technical issues; it also involves ethical, legal,
and societal considerations. Understand the societal and ethical implications of AI and actively
participate in discussions and efforts to address related issues, as this is an essential aspect of being an
AI practitioner.
In summary, learning AI requires a systematic and comprehensive approach, with a focus on practical
a application and continuous expansion of knowledge and problem-solving abilities.
- When learning artificial intelligence, it's essential to focus on the following aspects:
- 2023 is the year of AI, and chatgpt came out of nowhere to wow the world. Today the industry is booming and humanity is moving towards greater harmony.
- We are all Satoshi
- Lens is now permissionless.
- Lens is now permissionless.
- Lens is now permissionless.
- We're experiencing high volumes and are aware of issues preventing handles from displaying correctly in the http://lens.xyz UI. Our team is actively working on a solution, and we anticipate that all minted handles will be visible in the interface soon. Thank you for your patience!
- Congrats to Lens on going permissionless!
- After 10 months, the bull market has arrived and it's only just begun
- Lens is now permissionless.
- Lens is now permissionless.
- Hi
- The bear market is a good time for builders
- Long lines means more time to buidl 💪
- Lens Hackathon presentations happening now at @ethglobal.lens Tokyo!