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NFT Art Revolution: How Digital Creators Are Redefining the Art World – Web3oclock

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NFT Art Revolution: How Digital Creators Are Redefining the Art World – Web3oclock


How NFTs Are Changing Art

Case Studies: Successful NFT Artists

Is NFT Art a Good Investment?

How NFTs Are Changing Art?

1. Democratization of the Art Market:

2. Ownership in the Digital Age:

3. New Avenues for Creativity:

4. Cultural and Financial Accessibility:

5. Blockchain as the New Art Provenance:

Benefits of NFT Art: 

Source: cryptoworldtimes.com

Benefits of NFT Art for Artists:

1. Direct Access to Global Markets:

2. Royalties on Secondary Sales:

3. Ownership of Digital Art:

4. New Forms of Art:

5. Community Engagement:

Benefits of NFT Art for Collectors:

1. Proof of Authenticity:

2. Liquidity:

3. Partial Ownership:

4. High Investment Opportunity:

5. Personal Enjoyment:

Case Studies of NFT Art – Successful NFT Artists:

1. Beeple:

Beeple NFTBeeple NFT

2. Pak:

Pak, another prominent figure in the NFT art world, is known for creating minimalist digital art that plays with form and space. Pak’s “Merge” project sold over $91 million worth of NFTs, with each buyer receiving a unique token representing a piece of the larger artwork. This innovative approach shows how NFTs can challenge the traditional art market by allowing for collective ownership of a single work.

3. Trevor Jones:

4. FEWOCiOUS:

FEWOCiOUS, a young digital artist, has rapidly risen to fame in the NFT world. At just 18 years old, FEWOCiOUS has sold millions worth of NFTs, including a notable auction where three pieces of art sold for over $2 million. This success story illustrates how NFTs are providing young, emerging artists with opportunities to showcase their work and connect with collectors on a global scale.

5. Mad Dog Jones:

Source: opensea.io

Is NFT Art a Good Investment?

The Future of NFT Art:

And if you’re interested in staying updated on the latest trends in NFT art, Web3, emerging technologies, and the world of investing, don’t forget to subscribe to our newsletter!



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Vitalik Buterin outlines how Ethereum’s Verge can bring blockchain nodes to smartwatches

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Vitalik Buterin outlines how Ethereum’s Verge can bring blockchain nodes to smartwatches


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Ethereum co-founder Vitalik Buterin has laid out further plans to improve the blockchain’s Proof-of-Stake (PoS) system through a new upgrade called “The Verge.”

In a blog post published on Oct. 23, Buterin explained that while running an Ethereum node is technically possible on a standard laptop, the current system’s data requirements make it impractical for many users.

Operating a node demands hundreds of gigabytes of data to verify blocks, and this data grows by about 30 GB each year. These high storage needs restrict the number of users who can run fully verifying nodes on Ethereum.

Buterin’s proposed Verge update addresses this challenge by introducing “stateless client verification,” which allows devices to validate blockchain data without storing the entire dataset locally.

He explained:

“The Verge is about changing this, and making fully-verifying the chain so computationally affordable that every mobile wallet, browser wallet, and even smart watch is doing it by default.”

The Verge

Initially, “The Verge” focused on adopting Verkle trees, a data structure that facilitates more compact proofs and enables the stateless verification of Ethereum blocks.

However, the scope has since broadened. The update now aims to make Ethereum verification more resource-efficient by combining stateless validation techniques and advanced cryptographic proofs like SNARKs (Succinct Non-Interactive Arguments of Knowledge).

SNARKs allow one party to prove they hold certain information without disclosing the details, making it possible to verify complex transactions swiftly on-chain. Buterin believes this technology could enable Ethereum’s blockchain to be verified on small devices like smartwatches, expanding the potential for widespread participation in the network.

Stateless verification, in particular, eliminates the need for nodes to store all blockchain data. Instead, each block would include a “witness” containing the essential data and cryptographic proofs needed to validate the block.

This shift toward stateless clients is crucial, as it reduces storage demands and accelerates blockchain performance. This would improve the overall user experience while lowering the barriers to running Ethereum nodes, making solo staking much more accessible.

To implement these changes, Buterin proposes replacing Ethereum’s current state structure, known as the Merkle Patricia tree, with either Verkle trees or STARKed binary hash trees. While STARKs serve a similar function to SNARKs, they offer additional benefits in terms of scalability and security, helping Ethereum overcome some of the limitations of its existing proof systems.

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Everything You Need to Know Ahead of the ‘X Empire’ Telegram Game Airdrop – Decrypt

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Everything You Need to Know Ahead of the ‘X Empire’ Telegram Game Airdrop – Decrypt


The hotly anticipated X Empire token launch and airdrop is fast approaching. Millions of players have been tapping away at the Elon Musk-themed game through its regular cycle and a bonus “Chill Phase,” all because of the promise of an upcoming airdrop.

On October 24 at 12pm UTC, the X token will launch onto The Open Network (TON) alongside an airdrop to a portion of its player base, which topped 50 million players during the final phase.

Those who qualified had their slice of the pie revealed to them on Friday, but players were left without a share—going directly to Mr. Musk himself to complain, despite no official connection to the game. Developers said that about 6 million players were ultimately eligible to claim tokens.

Despite the pushback, eligible users will want to claim their airdrop and know what they can do with their X tokens. If that’s you, then don’t worry, as we’ve collected all the information you need ahead of the big day.

How can I claim the airdrop?

Now that X Empire has officially paused gameplay, all you’ll see now when you open the Telegram mini app is a page detailing the airdrop.

In a large orange box, you will see the amount of X tokens that you have earned through both phases of the game. Underneath this box, you will see an option to donate your tokens to charity, to Telegram founder Pavel Durov, or to the X Empire team—but please remember that any donated tokens will not be airdropped to your wallet.

Below both the orange box and charity option, you will find a number of withdrawal options. This includes a number of centralized exchanges (including OKX, Bybit, and Bitget), an airdrop straight into the Telegram Wallet app, and finally an “on-chain” option for other self-custody wallets.

Image: Decrypt

Withdrawing to an exchange or the Telegram Wallet app won’t come with fees, though you will have to pay a network fee for the “on-chain” option for other wallets. Luckily, the average fee on TON is only about $0.02, so it’s not a huge deal.

Before selecting a centralized exchange option, ensure you have already created an account and completed the know-your-customer (KYC) process. After doing this and selecting your desired exchange on X Empire, you’ll simply be required to enter your ID and deposit address to claim your tokens.

This process will be very similar for the on-chain and Telegram wallet withdrawal options, albeit without KYC.

If you purchased one of the NFTs created for pre-market trading, the X Empire mini app also has an explainer detailing the process for redeeming these NFTs for X tokens.

What can I do with the token?

As with every token, you could sell it—but for how much is still yet to be seen. Pre-market trading on Bitget and KuCoin currently estimates that X will be valued at approximately $0.0002. However, it’s important to note that this is purely speculation, and more often than not the pre-market price doesn’t align with the actual price once the token is generated.

But that’s not all you can do with X, as X Empire is planning a number of new apps and partnerships that will utilize the soon-to-launch token.

The project claims that mini app partners will “very soon” announce an airdrop for X token holders, some of which have already been revealed. For example, TON app Memes Lab and play-to-earn game Staff Only will both allocate 2% of their total token supplies to reward active X holders.

“All these projects are already well-established companies with large audiences and potential, and we will tell you about each one individually,” a Telegram post stated.

Equally, X Empire is working on a collection of “utility apps” that promise to use the X token, including a news feed, language learning app, and sleep tracker. How these apps will specifically benefit X token holders remains to be seen.

What happens after the airdrop?

Besides those apps, X Empire’s flagship tap-to-earn game is likely to continue in some form. Following the airdrop, 25% of the total token supply remains allocated for “new users and phases.” It’s important to note that this initial airdrop covers 75% of the total supply—meaning that the next phase will likely reward players with fewer tokens.

When exactly X Empire will enter its third phase has yet to be announced. Previous Telegram tap-to-earn games have looked to reinvent themselves to keep players interested in what is otherwise a monotonous genre, and we may see the same from X Empire.

Hamster Kombat, for example, revealed its season two overhaul, which will see players build a video game studio and platform rather than running a hamster-operated crypto exchange. This is set for release “at the end of October,” a month after its September airdrop.

How X Empire will keep players interested in its tap-to-earn component has yet to be announced, however, with all eyes currently on Thursday’s big airdrop.

Edited by Andrew Hayward

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Japan’s Web3 transformation: How Monex Group is powering the nation’s crypto ecosystem

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Japan’s Web3 transformation: How Monex Group is powering the nation’s crypto ecosystem


Disclosure: This is a sponsored post. Readers should conduct further research prior to taking any actions. Learn more ›

Japan’s government actively promotes Web3 as a national policy, creating a favorable environment for conducting Web3 businesses there. In an exclusive interview with CryptoSlate, Tsukada from Monex Group explains that this includes “tax reforms for handling digital assets, accounting preparations, the legal positioning of DAOs, recommendations for local governments to enter Web3 and adopt the metaverse, support for exchanges with overseas talents, and Web3 events.”

Additionally, Japan has required the registration of cryptocurrency exchange operators since 2017, ensuring the “safe management of user information, regulated advertising and solicitation, and established an environment where users can utilize services with maximum protection and safety.”

This regulatory clarity has paved the way for further Web3 innovation, as Tsukada notes that in 2023, “it became possible to issue stablecoins backed by legal tender, allowing various companies, including existing financial institutions, to issue stablecoins.”

Major Japanese Corporations are Diving into Web3

The favorable regulatory environment has encouraged large Japanese corporations to enter the Web3 space. As Tsukada explains:

“NTT Docomo, the largest telecommunications company, has started developing its own wallet and is working on creating a user-friendly Web3 environment and rules. In the gaming industry, major companies like Square Enix are developing Web3 games using their IPs.”

The entry of these corporate giants signals the maturing of Japan’s Web3 ecosystem. Tsukada cites the success of Brilliant Crypto, which “conducted an IEO on Coincheck, our subsidiary and the largest CEX in Japan, reached a record high of 33.3 billion yen.”

He says this “is a great example of leveraging Web2 know-how to enter the Web3 gaming space successfully.”

Monex Group: A Diversified Financial Firm Embracing Web3

Monex Group, Inc. is a financial holding company with over 20 years of history, encompassing subsidiaries such as the centralized cryptocurrency exchange Coincheck, crypto asset consulting firms, AI startups, and securities companies.

As Tsukada explains:

“Monex Group provides various services related to crypto assets and blockchain, including the ‘MCB Web3 Newsletter’ and ‘MCB Research,’ the NFT project ‘OASIS,’ and the news app ‘Cheeese,’ which rewards users with Bitcoin. Established in December 2017, we have been focusing particularly on Web3 support services since last year, supporting the development of various services and the Japanese market.”

Monex Group’s Web3 Consulting Business: Leveraging In-House Expertise

Recognizing the growing demand for Web3 expertise in Japan, Monex Group has established a Web3 consulting business.  As Tsukada elaborated:

“In the Web3 consulting business, we support companies entering Web3 by leveraging the know-how accumulated by Monex Group. We offer a wide range of support, from NFT community building and operation to NFT planning, issuance, and tokenomics consultation.”

Monex has already supported the “construction and operation of NFT projects for major automotive and Japanese local governments” and is currently “strengthening our support for overseas Web3 projects entering the Japanese market.”

The company’s Web3 consulting services include:

Web3 Business Research and PlanningNFT Planning, Issuance, and SalesCommunity Building/OperationMetaverse Development/CollaborationIEO Support/Tokenomics Design

Tsukada notes that Monex’s strengths in this area include “the reliability of being associated with a listed company,” its ability to “collaborate across the group” in various business developments, and “real-time feedback and insights from our community and metaverse services, used to build Web3 communities and market them.”

The OASIS Project: Monex’s Innovative NFT Community

A key part of Monex’s Web3 expertise comes from its in-house project, OASIS. As Asami explains:

“OASIS is a digital community that started in January 2023 with the concept of creating opportunities for transformation and new encounters. It was built from scratch as part of a listed company group in Japan’s highly regulated Web3 market. It is an innovative and challenging initiative, issuing and selling NFTs with almost no prior examples.”

One unique aspect of OASIS is its “cross-utilization of various metaverses.” Asami said:

“We are developing cities in Web3 metaverses like The Sandbox and Decentraland. We also have worlds in Fortnite and Cluster, Japan’s largest metaverse, and XANA, with further expansion planned.”

This multi-metaverse approach has allowed OASIS to attract a large community of nearly 30,000 members, making it “one of Japan’s largest.” Asami notes that the community “facilitates easy collaboration with many companies and projects” by discussing a “rich variety of themes” such as AI and Japan’s Vtuber culture.

Supporting Companies Entering the Japanese Web3 Market

Monex’s experience with the OASIS project has provided valuable insights that the company is now leveraging to support other organizations entering the Japanese Web3 market.

As Tsukada explains:

“Through the OASIS project, we gained extensive knowledge about community management and handling NFTs. We learned that many companies struggle with Web3 community building through interactions with external organizations and overseas projects. Therefore, we thought we could support companies entering the Web3 space through consulting.”

Monex’s strengths in this area include “the reliability of being associated with a listed company,” its ability to “collaborate across the group,” and access to “real-time feedback and insights from our community and metaverse services, used to build Web3 communities and market them.”

The company has already “started joint Web3 service construction with major domestic automotive” and “collaborated with local governments on regional contributions through Web3.”

Looking Ahead: Monex Group’s Presence at Upcoming Web3 Events

Monex Group actively showcases its Web3 expertise and services at major industry events. The company organized a side event called “Japan Crypto Fusion” at TOKEN2049 in Dubai, which attracted a strong turnout despite a schedule change due to record-breaking rainfall.

Additionally, Monex Group is planning to have a significant presence at the upcoming “NexTeck Week2024” technology festival in Tokyo in November, where the company is seeking partners to exhibit with them.

As the Japanese Web3 market continues to evolve, Monex Group’s diverse financial services and innovative approach to community building and consulting make it a key player in the country’s burgeoning ecosystem. If you have even a slight interest in expanding into the Japanese market, it would be wise to submit an inquiry.

To learn more:

Disclosure: This is a sponsored post. Readers should conduct further research prior to taking any actions. Learn more ›

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Comparing AI Agents and Pipelines: Which is Right for You?

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Comparing AI Agents and Pipelines: Which is Right for You?


When designing applications powered by large language models (LLMs), it is crucial to decide between using AI agents or a more conventional pipeline approach. While AI agents are flexible, adaptive, and interactive, they’re not always the best fit for every problem. On the other hand, pipelines, which pass the output of one task as the input to the next in a predefined sequence, offer a structured and predictable alternative.

In this article, we’ll explore the differences between AI agents and AI pipelines and identify which approach is better suited for specific types of applications. We’ll also use the CrewAI framework to demonstrate both techniques by building simple apps with different workflows.

What Are AI Agents?

AI agents represent autonomous entities that can make decisions and interact with users dynamically. They are often used for more complex, open-ended applications where decision-making is required based on user input. In this setup, the agent may ask multiple questions, adapt responses, and offer solutions or guidance in real time.

For example, consider a virtual assistant designed to help users troubleshoot their computer issues. If someone says, “My laptop won’t connect to Wi-Fi,” the AI agent would follow up with questions like:

Is the Wi-Fi switch turned on?

Are other devices connecting to the same network?

Have you tried restarting your router?

Based on the answers, the agent can offer more refined advice or ask additional questions until the problem is resolved.

AI Agent Example: Customer Support Chatbot

Let’s take a customer service scenario. A user is trying to solve a problem with their air conditioner. They interact with an AI chatbot, which operates as an intelligent agent, asking questions about the issue’s make, model, and symptoms to troubleshoot it.

Here’s an outline of how an AI agent operates in such a scenario:

Task: Help diagnose air conditioner problems.

Agent Behavior: The agent dynamically asks relevant questions, based on previous user responses, to narrow down the issue and suggest solutions.

Using the CrewAI framework, let’s create a simple example of a chatbot agent that can assist with air conditioner troubleshooting.

from crewai import Agent, Task, Crew

# Define the agent
support_agent = Agent(
role=”Customer Support Agent”,
goal=”Help diagnose and fix air conditioner problems”,
backstory=”You are a seasoned HVAC technician.”,
tools=[],
llm=”gpt-4″
)

# Define the task
task = Task(
description=”My air conditioner isn’t cooling the room.”,
expected_output=”A diagnosis and potential solution to the problem.”,
agent=support_agent
)

# Define the crew
crew = Crew(
agents=[support_agent],
tasks=[task],
verbose=True
)

# Execute the crew
result = crew.kickoff()

print(result.raw)

In this scenario, the AI agent asks questions like “Is the air filter clean?” or “Is the thermostat set to the correct temperature?” The agent continues interacting with the user until it solves the problem or refers them to a human technician.

What Are AI Pipelines?

In contrast to agents, AI pipelines are a sequence of predefined tasks where each task’s output is used as input for the next one. They are especially effective for repetitive and well-defined processes, such as generating reports, performing data transformations, or processing documents.

Pipelines follow a strict order of operations, and each task is focused on a specific, narrow function. For instance, if you need to generate sales reports regularly from a set of spreadsheets, a pipeline can efficiently consolidate the data, generate charts, and create a final report in one linear process.

Pipeline Example: Monthly Sales Report Generator

Let’s say the head of sales for a retail company wants a monthly sales report. The pipeline could include the following steps:

Data Consolidation: Combine sales data from multiple branches.

Analysis: Generate insights based on sales trends.

Chart Generation: Create bar and line charts comparing branch performance.

Report Writing: Summarize the data and charts into a final report.

Here’s how a pipeline app could work in CrewAI to generate such a report:

from crewai import Agent, Task, Crew

# Define the agent for data consolidation
consolidation_agent = Agent(
role=”Data Analyst”,
goal=”Consolidate sales data from various branches”,
backstory=”You specialize in data aggregation.”,
llm=”gpt-4″
)

# Define the agent for chart generation
chart_agent = Agent(
role=”Chart Creator”,
goal=”Generate visual representations of sales data.”,
backstory=”You are an expert in creating graphs and charts.”,
llm=”gpt-4″
)

# Define the agent for report writing
report_agent = Agent(
role=”Report Writer”,
goal=”Summarize sales data and insights into a final report.”,
backstory=”You have experience in crafting business reports.”,
llm=”gpt-4″
)

# Define the tasks
task1 = Task(
description=”Consolidate sales data from branches for August.”,
expected_output=”A single dataset of sales data.”,
agent=consolidation_agent
)

task2 = Task(
description=”Create bar and line charts comparing branch performance.”,
expected_output=”Charts comparing sales performance.”,
agent=chart_agent
)

task3 = Task(
description=”Write a summary report based on the consolidated data and charts.”,
expected_output=”A final sales report.”,
agent=report_agent
)

# Define the crew
crew = Crew(
agents=[consolidation_agent, chart_agent, report_agent],
tasks=[task1, task2, task3],
verbose=True
)

# Execute the crew
result = crew.kickoff()

print(result.raw)

This pipeline consolidates data, analyzes it, and generates the final report, ensuring a repeatable, structured process with minimal need for human intervention.

Comparing AI Agents and AI Pipelines

Advantages of AI Agents:

Interactivity: AI agents can handle complex, open-ended tasks and adapt based on user responses, making them ideal for customer service or personal assistants.

Context Awareness: Agents can remember previous interactions, allowing them to make informed decisions based on past conversations.

Flexibility: Agents are not bound by a strict process, enabling them to dynamically navigate a range of potential scenarios.

Advantages of AI Pipelines:

Predictability: Pipelines follow a strict, deterministic flow, ensuring that results are consistent and repeatable each time.

Modularity: Pipelines can easily scale by adding or removing tasks, making them suitable for complex processes broken down into smaller, manageable steps.

Efficiency: For applications with repetitive tasks, pipelines offer a faster and more reliable approach than agents, which may introduce variability due to their adaptive nature.

Choosing the Right Approach

Use AI Agents when your application requires dynamic decision-making, interaction with users, or the ability to handle open-ended tasks. For example, an AI-powered customer support assistant or a virtual tutor would benefit from an agent’s adaptive, interactive nature.

Use AI Pipelines when: Your application involves predefined tasks that don’t change based on user interaction. Pipeline-based solutions are ideal for tasks like report generation, data processing, or repetitive workflows.

Building a Hybrid System

In some cases, you may want to combine both approaches. For instance, you might use an AI agent to handle user interactions, gather inputs, and then pass the data to a pipeline that processes it and produces a structured output. Hybrid models offer the flexibility of agents with the reliability of pipelines.

Hybrid Example: E-commerce Customer Support + Order Summary

Imagine an e-commerce support system where an AI agent helps users track their orders and passes the information to a pipeline that generates an order summary once the order is located.

Agent Task: The AI agent interacts with the customer, asking for order details (e.g., order number, shipping address).

Pipeline Task: Once the order details are retrieved, a pipeline generates a detailed order summary and sends it to the customer.

Combining the two approaches can create a robust system that offers both interactivity and structure.

Conclusion: Choosing AI Agents or Pipelines

Choosing between AI agents and AI pipelines depends on the nature of the task at hand. AI agents are ideal for complex, interactive scenarios that require flexibility, whereas AI pipelines offer a more structured and predictable approach to repetitive tasks. Understanding the strengths and limitations of each approach will help you design more effective and efficient AI-powered applications.

FAQs

What is the primary difference between AI agents and pipelines?

AI agents are dynamic and interactive, adapting based on user input, whereas pipelines follow a strict, linear process to complete predefined tasks.

Can I use both AI agents and pipelines in the same application?

Yes, hybrid applications can benefit from combining the flexibility of AI agents with the structure of pipelines.

Are pipelines more efficient than agents?

Pipelines are more efficient for repetitive tasks, as they follow a deterministic sequence, making them faster and more predictable than agents.

Which is better for customer support applications: agents or pipelines?

AI agents are better suited for customer support because they can interact with users, ask follow-up questions, and adapt to different scenarios.

Can pipelines handle complex decision-making tasks?

Pipelines are less suited for open-ended or complex decision-making tasks; agents are better equipped to handle such scenarios due to their adaptive capabilities.



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NFTs & Crypto: Discover the Next Big Thing in Digital Ownership – Web3oclock

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NFTs & Crypto: Discover the Next Big Thing in Digital Ownership – Web3oclock


The Intersection of NFTs and Cryptocurrencies

Use Cases of NFTs in the Crypto World

Future of NFTs and Cryptocurrencies

The Intersection of NFTs and Cryptocurrencies:

Use Cases of NFTs in the Crypto World:

Beeple NFT

Investment Opportunities of NFTs & Crypto:

Challenges and Risks of NFTs & Crypto:

Future of NFTs & Cryptocurrencies:



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OpenAI GPT 4o ranked as best AI model for writing Solidity smart contract code by IQ

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OpenAI GPT 4o ranked as best AI model for writing Solidity smart contract code by IQ


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SolidityBench by IQ has launched as the first leaderboard to evaluate LLMs in Solidity code generation. Available on Hugging Face, it introduces two innovative benchmarks, NaïveJudge and HumanEval for Solidity, designed to assess and rank the proficiency of AI models in generating smart contract code.

Developed by IQ’s BrainDAO as part of its forthcoming IQ Code suite, SolidityBench serves to refine their own EVMind LLMs and compare them against generalist and community-created models. IQ Code aims to offer AI models tailored for generating and auditing smart contract code, addressing the growing need for secure and efficient blockchain applications.

As IQ told CryptoSlate, NaïveJudge offers a novel approach by tasking LLMs with implementing smart contracts based on detailed specifications derived from audited OpenZeppelin contracts. These contracts provide a gold standard for correctness and efficiency. The generated code is evaluated against a reference implementation using criteria such as functional completeness, adherence to Solidity best practices and security standards, and optimization efficiency.

The evaluation process leverages advanced LLMs, including different versions of OpenAI’s GPT-4 and Claude 3.5 Sonnet as impartial code reviewers. They assess the code based on rigorous criteria, including implementing all key functionalities, handling edge cases, error management, proper syntax usage, and overall code structure and maintainability.

Optimization considerations such as gas efficiency and storage management are also evaluated. Scores range from 0 to 100, providing a comprehensive assessment across functionality, security, and efficiency, mirroring the complexities of professional smart contract development.

Which AI models are best for solidity smart contract development?

Benchmarking results showed that OpenAI’s GPT-4o model achieved the highest overall score of 80.05, with a NaïveJudge score of 72.18 and HumanEval for Solidity pass rates of 80% at pass@1 and 92% at pass@3.

Interestingly, newer reasoning models like OpenAI’s o1-preview and o1-mini were beaten to the top spot, scoring 77.61 and 75.08, respectively. Models from Anthropic and XAI, including Claude 3.5 Sonnet and grok-2, demonstrated competitive performance with overall scores hovering around 74. Nvidia’s Llama-3.1-Nemotron-70B scored lowest in the top 10 at 52.54.

SolidityBench scores for LLMs (Hugging Face)
SolidityBench scores for LLMs (Hugging Face)

Per IQ, HumanEval for Solidity adapts OpenAI’s original HumanEval benchmark from Python to Solidity, encompassing 25 tasks of varying difficulty. Each task includes corresponding tests compatible with Hardhat, a popular Ethereum development environment, facilitating accurate compilation and testing of generated code. The evaluation metrics, pass@1 and pass@3, measure the model’s success on initial attempts and over multiple tries, offering insights into both precision and problem-solving capabilities.

Goals of utilizing AI models in smart contract development

By introducing these benchmarks, SolidityBench seeks to advance AI-assisted smart contract development. It encourages the creation of more sophisticated and reliable AI models while providing developers and researchers with valuable insights into AI’s current capabilities and limitations in Solidity development.

The benchmarking toolkit aims to advance IQ Code’s EVMind LLMs and also sets new standards for AI-assisted smart contract development across the blockchain ecosystem. The initiative hopes to address a critical need in the industry, where the demand for secure and efficient smart contracts continues to grow.

Developers, researchers, and AI enthusiasts are invited to explore and contribute to SolidityBench, which aims to drive the continuous refinement of AI models, promote best practices, and advance decentralized applications.

Visit the SolidityBench leaderboard on Hugging Face to learn more and begin benchmarking Solidity generation models.

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Smart Remote Market is growing at a CAGR of 7.8% in the forecast period (2024-2031) | Web3Wire

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Smart Remote Market is growing at a CAGR of 7.8% in the forecast period (2024-2031) | Web3Wire


Smart Remote Market is growing at a CAGR of 7.8% in the forecast period (2024-2031) | Web3Wire

Smart Remote Market

Developing acknowledgment of consumer appliances manufacturers has prompted a change in their concentration towards improvement and interest in advancement driven arrangements. Such progressions in functionalities and attractive designs of home equipments will keep on leaning toward smart remote market growth. Expansion of IoT-associated gadgets is a key empowering influencer of smarter living, alongside quick penetration of smaller sensors into existing home structures, has implied that smart home hardware and gadget producers are ceaselessly competing to stay at the front. This will essentially provide an exponential push to smart remote control improvements within a forecast time-frame. The rising tendency of the customers towards comfort, in excess of cost, has prompted the developments and upgrades that enhance the client experience, combined with progressions in technologies such as graphical user interface (GUI).

Get Your Free Sample Report Here @ https://www.skyquestt.com/sample-request/smart-remote-market

Global Smart Remote Market size was valued at USD 2.16 billion in 2022 and is poised to grow from USD 2.33 billion in 2023 to USD 4.58 billion by 2031, growing at a CAGR of 7.8% in the forecast period (2024-2031).

This Smart Remote Market report is being written to illustrate the market opportunity by region and by segments, indicating opportunity areas for the vendors to tap upon. To estimate the opportunity, it was very important to understand the current market scenario and the way it will grow in future. Production and consumption patterns are being carefully compared to forecast the Smart Remote Market. Other factors considered to forecast the market are the growth of the adjacent market, revenue growth of the key market vendors, scenario-based analysis, and market segment growth. The Smart Remote Market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. To determine the growth of the Smart Remote Market factors such as drivers, trends, restraints, and opportunities were identified, and the impact of these factors was analyzed to determine the market growth. To understand the market growth in detail, we have analyzed the year-on-year growth of the market. Also, historic growth rates were compared to determine growth patterns.

Market Segmentation:

Smart Remote Market is segmented based on type, distribution channel, application and region.

Based on type Smart Remote Market is segmented into IR, RF, Bluetooth and WiFi smart remotes.Based on distribution channel Smart Remote Market is bifurcated into online, offline.On the basis of Applications Smart Remote Market is classified into Residential and Commercial.Based on region Smart Remote Market is categorized into: North America, Europe, Asia-Pacific, South America, and MEA.

Smart Remote Market Top Player’s Company Profiles

Sony CorporationBose CorporationLogitech International S.A.Universal Electronics Inc.Peel Technologies Inc.Savant Systems LLCControl4 CorporationRuwido Austria GmbHSMK CorporationCrestron Electronics Inc.Amulet Hotkey Ltd.ADT Inc.ABB Ltd.Leviton Manufacturing Co., Inc.BroadLinkLG Electronics Inc.Samsung Electronics Co., Ltd.TCL CorporationXfinityAmazon.com, Inc.

To establish the important thing traits, Ask Our Experts @ https://www.skyquestt.com/speak-with-analyst/smart-remote-market

Essential regions of the Smart Remote market are:

• Smart Remote North America Market includes (Canada, Mexico, USA)• Smart Remote Europe Market includes (Germany, France, Great Britain, Italy, Spain, Russia)• Smart Remote Asia-Pacific Market includes (China, Japan, India, South Korea, Australia)• Middle East and Africa (Saudi Arabia, United Arab Emirates, South Africa)• Smart Remote South America Market includes (Brazil, Argentina)

FAQs: –

1. What are the sales, production, consumption, imports, and exports of the global market (North America, Europe, Asia-Pacific, South America, Middle East, and Africa)?2. Who are the major manufacturers who dominate the world market?3. What are their current capacity, production, sales, pricing, cost, gross, and revenue operating levels?4. What are the market’s risks and opportunities?

What’s more, it likewise covers the request and give of the promoting research concentrate in the assessed figure time frame. Explained investigation of the market players with their profile, deals examination and serious scene is given in the report. Besides, organization, joint effort and consolidations in the business are referenced for the accommodation of the investigation of the global Smart Remote industry.

Take Action Now: Secure Your Smart Remote Market Today – https://www.skyquestt.com/buy-now/smart-remote-market

Objectives of the Study:

• To forecast the market size, in terms of value, for various segments with respect to five main regions, namely, North America, Europe, Asia-Pacific (APAC), Latin America (LATAM), Middle East & Africa (MEA)• To provide detailed information regarding the major factors influencing the growth of the Market (drivers, restraints, opportunities, and challenges)• To strategically analyze the micro markets with respect to the individual growth trends, future prospects, and contribution to the total market• To provide a detailed overview of the value chain and analyze market trends with the Porter’s five forces analysis• To analyze the opportunities in the market for various stakeholders by identifying the high-growth Segments• To identify the key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing the competitive landscape for the market leaders• To analyze competitive development such as joint ventures, mergers and acquisitions, new product launches and development, and research and development in the market

Looking ahead, the Smart Remote Market is poised for continued growth, driven by evolving consumer preferences and ongoing innovations. The trend towards sustainability is expected to strengthen, with more consumers seeking products that align with their values. Additionally, the integration of advanced technologies and digital platforms will likely further enhance market accessibility and consumer engagement. The global Smart Remote Market is a dynamic and evolving landscape, shaped by a confluence of trends and factors.

Browse Complete Report Smart Remote Market 2024 for Better Understanding – https://www.skyquestt.com/report/smart-remote-market

Table of Contents

Global Smart Remote Market Research Report 2024-2031Chapter 1 Smart Remote Market OverviewChapter 2 Global Economic Impact on IndustryChapter 3 Global Market Competition by ManufacturersChapter 4 Global Production, Revenue (Value) by RegionChapter 5 Global Supply (Production), Consumption, Export, Import by RegionsChapter 6 Global Production, Revenue (Value), Price Trend by TypeChapter 7 Global Market Analysis by ApplicationChapter 8 Manufacturing Cost AnalysisChapter 9 Industrial Chain, Sourcing Strategy and Downstream BuyersChapter 10 Marketing Strategy Analysis, Distributors/TradersChapter 11 Market Effect Factors AnalysisChapter 12 Global Smart Remote Market Forecast…

Contact Us:

SkyQuest Technology1 Apache Way, Westford,Massachusetts 01886USA (+1) 351-333-4748Email: sales@skyquestt.comVisit Our Website: https://www.skyquestt.com/

About Us:

SkyQuest is an IP focused Research and Investment Bank and Accelerator of Technology and assets. We provide access to technologies, markets and finance across sectors viz. Life Sciences, CleanTech, AgriTech, NanoTech and Information & Communication Technology.We work closely with innovators, inventors, innovation seekers, entrepreneurs, companies and investors alike in leveraging external sources of R&D. Moreover, we help them in optimizing the economic potential of their intellectual assets. Our experiences with innovation management and commercialization have expanded our reach across North America, Europe, ASEAN and Asia Pacific.

This release was published on openPR.

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Why Flux AI Outshines the Heavily Censored MidJourney

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Why Flux AI Outshines the Heavily Censored MidJourney


In today’s world, where technology blends with creativity, AI-powered art generators are becoming the go-to playground for artists, designers, and hobbyists. However, a heated debate around censorship and artistic freedom is emerging, especially on popular platforms like MidJourney.

If you’ve ever encountered the frustrating “Oops, that content is too spicy” message on MidJourney, you’re not alone. But now, there is a new player in town—Flux AI, an open-source alternative that promises a censorship-free experience. So, the big question is: is Flux better?

We’re about to dive deep into this battle and compare Flux with MidJourney, looking at their approach to prompts, creativity, censorship, and pricing. This comparison will explore both platforms’ emotional, artistic, and societal dimensions to determine which one truly takes the crown. Ready? Let’s dive in!

1. Overview: What Are Flux AI and MidJourney?

Let’s start by introducing the contenders.

Flux AI is like that rebellious friend who breaks all the rules. Developed by ex-Stability AI members under the name Black Forest Labs, Flux is open-source, allowing full creative freedom. You can generate anything from peaceful nature scenes to intense sci-fi battles without any restrictions. It’s the no-limits playground for artistic expression.

On the other hand, MidJourney is a polished, well-established platform known for its stunningly beautiful images. However, it imposes strict content guidelines. Images depicting violence, explicit content, or even political themes are strictly forbidden, leaving artists feeling somewhat boxed in.

2. Breaking Down Flux AI’s Core Models

Flux AI offers three primary models, each designed for different user needs:

Schnell: Fast and lightweight, best for quick image generation with minimal hardware requirements.

Dev: A mid-tier option offering more refined results without top-end polish.

Pro: Flux’s premium model delivers top-quality images, prompt adherence, and maximum versatility.

If you choose to run Flux on your hardware, be prepared to invest in powerful GPUs and plenty of RAM. DigitalOcean recommends at least 40 GB VRAM machines at the minimum. It’s a demanding tool, but the rewards are worth it for those seeking creative control.

3. MidJourney: A Closer Look at Its Strengths

MidJourney recently upgraded to its v6.1 algorithm, which improved aspects like hand coherence, facial accuracy, and detailed features. This upgrade reduced the common “weird hand” problem that plagued earlier AI art. However, the platform’s strict censorship remains a major drawback, limiting the types of content you can create.

What’s new in V6.1?

More coherent images (arms, legs, hands, bodies, plants, animals, etc.)

Much better image quality (reduced pixel artifacts, enhanced textures, skin, etc.)

More precise, detailed, and correct small image features (eyes, small faces, far away hands, etc.)

New 2x upscale with much better image/texture quality

Roughly 25% faster for standard image jobs

Improved text accuracy (when drawing words via “quotations” in prompts)

A new personalization model with improved nuance, surprise, and accuracy

Personalization code versioning (use any personalization code from old jobs to use the personalization model and data from that job)

A new –q 2 mode, which takes 25% longer to (sometimes) add more texture at the cost of reduced image coherence

Things should look “generally more beautiful” across the board

4. Prompt Showdown: Flux AI vs MidJourney

Now, let’s compare how these platforms handle the same prompt. Imagine you enter the prompt: “Three knights stand on a red carpet. The knight on the left holds a banner that says ‘Creativity,’ the middle one holds a banner that says ‘With,’ and the right knight holds one that says ‘AI.’ In the background, a golden phoenix rises.”

On MidJourney, the images look aesthetically pleasing, but the banners might be jumbled or unclear. The phoenix appears as an oddly shaped bird instead of a majestic creature. While the visuals are lovely, the specifics often miss the mark.

Flux AI, however, tends to nail it. The knights hold clear banners, and the phoenix appears as a distinct, powerful figure in the background. Flux wins the prompt battle with its ability to interpret and render the scene accurately.

5. Censorship: Creative Freedom vs Restrictions

This is where the two platforms sharply diverge. MidJourney enforces strict content moderation—blocking anything remotely controversial, whether it’s violent, explicit, or politically charged. This can feel stifling, especially for creators who want to push the boundaries of their work.

In contrast, Flux AI embraces a “no censorship” policy. Artists have full freedom to create anything, whether light-hearted or provocative. This isn’t just about creating shocking imagery—Flux allows artists to explore complex themes and bold social commentary without restrictions.

6. Pricing: Which Platform Offers Better Value?

Regarding pricing, the difference between MidJourney and Flux is significant.

MidJourney starts at $10 monthly for 200 images, with a $30 monthly option for unlimited generation (with limited fast-generation hours).

Flux AI is free if you run it on your own hardware, or it can be purchased on third-party platforms like Hugging Face for around $1 per 333 images.

Flux offers a better deal for budget-conscious users. However, MidJourney’s subscription model is more convenient for those who want a plug-and-play solution without worrying about hardware requirements.

7. Why Artistic Freedom Matters

The censorship debate extends beyond creating art. When platforms like MidJourney limit what artists can generate, it raises questions about creative freedom. Art has historically been a form of expression, often exploring sensitive or controversial subjects. By enforcing restrictive guidelines, platforms risk curbing that natural, essential creativity.

By remaining open-source and uncensored, Flux taps into the desire for uninhibited exploration. Artists can address difficult topics, create provocative pieces, or simply experiment with unique ideas.

8. Cultural Impact: Censorship and Expression

In a time when social media platforms and tech companies dictate what we can or can’t say, Flux represents a pushback against that control. The growing demand for open platforms reflects a broader cultural movement advocating for freedom of speech and artistic expression.

Choosing between Flux and MidJourney is, in many ways, a choice about what kind of world we want to foster—a world where creativity is guided and sanitized or it’s allowed to flourish without boundaries.

9. Conclusion: Is Flux AI Better Than MidJourney?

MidJourney undoubtedly excels at generating stunning visuals, often producing some of the best-looking AI art. However, its censorship policies make it less appealing for those who want complete freedom to explore any creative concept.

Though less polished in some respects, Flux AI offers an uncensored experience that allows true artistic expression. For creators who value freedom over aesthetics, Flux is the clear winner.

Ultimately, the best platform for you depends on your priorities. If you want convenience and polished images, stick with MidJourney. But if you’re looking to push creative boundaries without restrictions, you should consider Flux.

FAQs

1. Can I use both Flux AI and MidJourney?

Yes, many artists use both platforms depending on the type of project they’re working on. MidJourney for refined, polished images, and Flux for unrestricted creativity.

2. What kind of hardware do I need to run Flux AI?

If you plan on running Flux locally, you’ll need a powerful GPU and significant RAM. Otherwise, you can use third-party platforms like Hugging Face to avoid hardware costs.

3. Does MidJourney allow any form of controversial content?

MidJourney has strict rules against violence, nudity, and politically charged content, limiting what you can create in those areas.

4. How does Flux AI handle NSFW content?

Flux does not censor content, allowing NSFW and other controversial themes without moderation.

5. Is there a free version of MidJourney?

MidJourney offers limited free trials, but a paid subscription is required for regular use.



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Here Is Today’s ‘Tomarket’ Telegram Game Daily Combo – Decrypt

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Here Is Today’s ‘Tomarket’ Telegram Game Daily Combo – Decrypt


Rising Telegram crypto game Tomarket is approaching its TOMA token launch and airdrop on October 31 via The Open Network, which means there’s only a couple weeks left for players to rack up tomatoes that will lead to a share of the token drop.

Tomarket offers various ways to earn tomatoes, including by farming them over a three-hour span, playing a game where you’ll swipe over falling tomatoes, and completing tasks that point you towards YouTube videos and other Telegram games and communities.

But now Tomarket has launched another way to juice your earnings, adding a daily combo feature. Unlike the daily combos seen in games like Hamster Kombat and Captain Tsubasa: Rivals, this one gives you a grid of little pixel characters and tasks you with tapping the three faces in question—and in the right order.

Tomarket offers teases of the solution via YouTube videos, but Decrypt’s GG will make it easy on you: We’ll be updating this guide daily for the foreseeable future with the latest solution, as seen below. Enjoy the free digital tomatoes.

Tomarket daily combo

Tomarket’s daily combo is found by tapping the Tasks button at the bottom of the screen. You’ll need to watch the YouTube video listed under “Time-limited tasks” and successfully claim the reward before entering the combo, so be sure to do that first.

Here is the daily combo solution updated on Saturday, October 19:

Image: Decrypt

The daily reward is 15,000 TOMATO, 2 stars, and 3 tickets.

Editor’s note: This story was originally published on October 16, 2024 and will be updated daily with the latest combo.

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