KuCoin has unveiled its latest Spotlight token sale, giving users early access to AKEDO (AKE), a project that blends artificial intelligence, gaming, and blockchain technology. The sale offers reduced pricing, exclusive benefits for KuCoin users, and even a principal protection mechanism—underscoring the exchange’s push to back ambitious Web3 projects.

What is AKEDO?

Founded in 2024 and headquartered in Zug, Switzerland, AKEDO is building a multi-agent AI framework designed to reshape how games are created and played in Web3. The platform embeds AI agents directly into game engines, allowing users to generate fully functional, studio-quality games within minutes using simple text prompts—no coding required.

Compared with traditional large language models, AKEDO claims its system is up to 100 times faster and significantly more cost-efficient. The project originally started as Akedog, a Telegram-based “tap-to-earn” game, and has since evolved into a full ecosystem where user-generated content, on-chain ownership, and crypto rewards converge—something the team describes as “TikTok meets Roblox” for blockchain gaming.

The AKEDO ecosystem supports multiple blockchains, including Solana (where the AKE token lives), TON, BNB, Bera, and DuckChain. Its “PlayDrop” feature lets players earn rewards in assets like DOGE, BNB, and USDT across different chains.

Spotlight Token Sale Details

Through KuCoin Spotlight, users can secure AKE tokens before they are publicly listed. Highlights of the sale include:

• Discounted entry: Tokens are offered at an 80% Fully Diluted Valuation (FDV) compared to AKEDO’s previous financing round, plus an additional 10% discount for those subscribing with KuCoin’s native token, KCS.

• Inclusive allocation: KuCoin is guaranteeing proportional allocations, meaning all participants will receive tokens regardless of demand.

• Principal protection: A buyback mechanism is in place to help protect participants’ initial investment, with full details available on KuCoin’s official announcement.

The Spotlight program itself has recently rolled out upgrades like a redesigned interface, dual-crypto support, and new staking benefits, continuing its focus on projects that expand user opportunities in the Web3 space. For participation details, please visit the event landing page.

About KuCoin

Launched in 2017, KuCoin is one of the world’s largest cryptocurrency exchanges, serving over 41 million users across 200+ countries and regions. The platform offers access to more than 1,000 digital assets, along with services ranging from spot and futures trading to a Web3 wallet and institutional solutions. Recognized by Forbes as one of the “Best Crypto Apps & Exchanges,” KuCoin has also been named a “Top 50 Global Unicorn” by Hurun. The exchange is ISO 27001:2022 certified and continues to prioritize security, compliance, and innovation under CEO BC Wong.

Learn more: https://www.kucoin.com/

My friend Seth Godin (author of Purple Cow, Tribes, and Linchpin) is back on Kickstarter for the first time in a decade, and the project is exactly what I’ve come to know about Seth: surprising, generous, and a little bit magical.

The short version: three gorgeously-printed decks of prompt cards that blend tactile exploration with personalized AI guidance, discovery, and insight. Point your camera at any card’s QR code and it launches a Claude “artifact” — a pre-engineered prompt that spins up a custom AI conversation. The cards give you something to hold; the AI gives you something to think about.

The three decks:

• Infinite Adventure Deck – 50 text-adventure worlds you steer in real time (cyberpunk heists, Wonderland rabbit-holes, noir detective stories, etc.).
• Modern Divination Deck – 50 future-casting spreads that replace mystical hocus-pocus with “what are you going to do about it?” reflection.
• Mentor Deck – 50 one-on-one coaching sessions with thinkers like Adam Grant, Octavia Butler, or Marcus Aurelius. Each card fires up a coach who has digested everything Claude knows about that person and is ready to talk you through your actual problems.

Seth has put a sample Mentor conversation online so you can test-drive the experience. The Kickstarter page has three Infinite Adventure samples to try out, too.

Early-bird pricing (all three decks for $65) ends soon, and the print run is timed to land before the winter holidays, so if you want a set for gifting, head over to the Kickstarter page now.

Previously:
• Seth Godin’s Akimbo podcast is definitely worth a listen
• Interview: Seth Godin
• Why I Left My Publisher in Order to Publish a Book
• The Icarus Deception, an inspiring book about making meaningful work, by Seth Godin
• The Marketing Seminar: an online masterclass in marketing from Seth Godin
• Seth Godin recommends his favorite tools and magic tricks
• New Seth Godin book could stun an ox

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Blockchain technology is widely recognized for bringing transparency and trust to digital transactions. Smart contracts, self-executing lines of code, automate agreements and processes across various industries — finance, supply chain, healthcare, and more. With the popularity of smart contracts reaching new heights, their security emerges as a critical concern. Flaws in code can lead to significant financial losses and reputational damage, making smart contract auditing essential for businesses and organizations.

Smart contracts are digital protocols built to facilitate, verify, or enforce the negotiation of a contract without the need for intermediaries. These contracts automatically execute pre-defined actions when certain conditions are met. They are commonly deployed on platforms like Ethereum, Binance Smart Chain, and Polygon.

However, smart contracts are vulnerable to coding errors and malicious attacks. Even minor bugs can cause contracts to malfunction, leading to loss of funds or data. Security breaches, reentrancy attacks, and improper access controls are some of the well-known problems. For businesses investing in blockchain-based solutions, these risks can threaten trust and operations.

Organizations looking for Smart Contract Development Services must prioritize security from the earliest stages of planning and development. This means not only following best coding practices but also incorporating thorough auditing into the lifecycle of every smart contract.

Smart contract auditing is a process of scrutinizing the code of smart contracts to identify vulnerabilities, logic errors, and compliance gaps. It is typically performed by security professionals or specialized teams using both automated tools and manual review. The objective is to uncover issues before the contract goes live and interacts with real assets or users.

Auditing involves multiple steps:

• Reviewing the contract’s architecture.
• Checking code syntax and logic.
• Testing for edge cases and possible exploits.
• Verifying that the contract operates according to its intended design.

Without careful auditing, smart contracts can be exploited, sometimes within minutes of deployment.

Traditionally, auditing smart contracts is a labor-intensive process relying on manual inspection and static analysis tools. As the number and complexity of smart contracts increase, traditional methods struggle to keep up. This is where AI-powered auditing enters the picture.

AI systems can analyze large volumes of code more quickly, identify patterns associated with vulnerabilities, and flag potential issues for further investigation. By using algorithms trained on past vulnerabilities and attack methods, AI tools can detect subtle errors that may escape manual review.

Some key benefits of using AI in smart contract auditing:

• Rapid scanning of codebases.
• Automatic detection of known threat signatures.
• Ability to continuously learn from new exploit techniques.
• Reducing human error during code review.

AI does not entirely replace human expertise but works in tandem with security professionals to strengthen auditing across all stages of smart contract development.

Modern AI-powered auditing platforms often utilize techniques such as natural language processing, machine learning, and semantic analysis. These platforms ingest smart contract code, decode its logic, and compare it against vast datasets of known vulnerabilities.

Some common features of these platforms include:

• Automated code analysis and pattern recognition.
• Continuous monitoring of deployed contracts in real-time.
• Real-time alerts for suspicious transactions or code changes.
• Visual dashboards that show risk levels and actionable recommendations.

Leading platforms are regularly updated as new threats and exploits are discovered, making them a valuable resource for companies aiming to reduce risk.

Machine learning models are increasingly used in smart contract auditing for their ability to find complex vulnerabilities. These models are trained using large sets of previously audited contracts, labeled according to whether vulnerabilities existed. Over time, the system learns to recognize both obvious bugs and rare edge cases.

For example, supervised learning can be employed to spot logical errors by comparing the intended behavior to the implemented code. Unsupervised learning, meanwhile, may help identify novel attack vectors by analyzing unusual patterns in transaction flows.

Despite its promise, machine learning requires careful tuning and extensive data. False positives and negatives are still possible, necessitating a balanced approach that blends automated and manual inspection.

Security vulnerabilities commonly found in smart contracts include:

• Reentrancy Attacks: Where malicious actors repeatedly call functions before the initial execution completes, leading to unauthorized withdrawals.
• Integer Overflow and Underflow: Mistakes in arithmetic can result in values that exceed their intended limits, creating loopholes for attackers.
• Access Control Issues: Failure to restrict function access allows unauthorized parties to perform critical operations.
• Logic Errors: Misalignment between contract logic and intended rules.
• Uninitialized Storage Pointers: Can allow overwrite of contract state or execution of unintended code.
• Front-running: Exploiting transaction ordering on public blockchains.

AI-powered auditing tools systematically scan contracts for these and other evolving vulnerabilities.

Security vulnerabilities commonly found in smart contracts include:

• Reentrancy Attacks: Where malicious actors repeatedly call functions before the initial execution completes, leading to unauthorized withdrawals.
• Integer Overflow and Underflow: Mistakes in arithmetic can result in values that exceed their intended limits, creating loopholes for attackers.
• Access Control Issues: Failure to restrict function access allows unauthorized parties to perform critical operations.
• Logic Errors: Misalignment between contract logic and intended rules.
• Uninitialized Storage Pointers: Can allow overwrite of contract state or execution of unintended code.
• Front-running: Exploiting transaction ordering on public blockchains.

AI-powered auditing tools systematically scan contracts for these and other evolving vulnerabilities.

Blockchain history offers multiple examples of smart contract exploits resulting in loss:

• The infamous DAO hack in 2016 led to the theft of millions of dollars due to a reentrancy vulnerability.
• In 2020, dForce suffered an attack exploiting improper use of ERC-777 tokens, resulting in significant financial loss.
• More recently, several DeFi projects faced flash loan attacks owing to a lack of input validation and logic checks.

Each incident underscores why comprehensive auditing — powered by both AI systems and skilled professionals — is essential before contracts go live.

An effective AI-powered auditing process typically involves the following steps:

1. Code Ingestion and Parsing: The platform imports the smart contract code and parses it for analysis.
2. Pattern Recognition: Algorithms identify known vulnerability signatures.
3. Semantic Analysis: The logic and flow of the program are compared with intended behavior.
4. Behavioral Modeling: Machine learning models simulate contract execution under various scenarios.
5. Automated and Manual Review: Flagged issues are investigated by security professionals.
6. Report Generation: Comprehensive reports are generated, detailing findings, recommendations, and remediation steps.
7. Continuous Monitoring: Some platforms monitor live contracts for suspicious changes or behaviors that can indicate exploitation.
8. The integration of AI and manual review creates a robust framework for effective smart contract security.

Implementing AI-powered smart contract auditing offers several advantages for businesses:

• Shorter Auditing Periods: Automated scanning accelerates the process, saving development time.
• Greater Detection Rates: AI often catches subtle bugs missed during manual reviews.
• Cost Efficiency: Early detection of vulnerabilities reduces costly fixes post-deployment.
• Scalability: As contract volumes grow, AI platforms can handle larger workloads with little additional resource investment.
• Improved Trust: Clients and users gain confidence in the reliability of smart contract-based solutions.

AI-powered auditing, while advanced, comes with its own challenges:

• Data Quality: Machine learning relies on clean, comprehensive datasets from previous audits.
• Complexity of New Attack Types: Smart contract exploits evolve rapidly, necessitating ongoing updates to AI models.
• False Positives/Negatives: No tool can guarantee detection of every issue; manual review remains essential.
• Integration with Existing Workflows: Adding new tools requires collaboration between developers, security teams, and audit platforms.
• Addressing these limitations requires continuous collaboration between AI researchers, blockchain developers, and auditing professionals.

The adoption of AI-powered auditing is growing across industries that use smart contracts. Financial services, supply chain logistics, and healthcare organizations seek greater protection as they integrate blockchain solutions. Industry standards around smart contract auditing are also evolving, with more regulators mandating security checks prior to deployment.

Future trends likely to shape the sector include:

• AI platforms that self-update as new threats emerge.
• Greater automation in contract deployment and monitoring.
• Integration of AI tools with popular smart contract development frameworks.
• Ongoing collaboration between AI and cybersecurity experts.

For businesses considering smart contract deployment, early engagement with these technologies is a prudent step.

• Writing Clean, Commented Code: Clearly document intent, logic, and edge cases for easier review.
• Using Frameworks and Libraries with Security Features: Rely on established components proven to reduce risks.
• Regular Testing and Simulation: Run multiple test cases to check contract behavior under stress.
• Code Reviews and Peer Audits: Invite multiple perspectives to inspect and validate code.
• Auditing Before and After Deployment: Conduct security checks at every phase, especially after changes.

AI tools can complement these steps, but disciplined development practices and repeated reviews make smart contracts truly resilient.

Selecting an auditing approach depends on contract complexity, industry requirements, and organizational needs. When choosing AI-powered solutions, businesses should consider:

• Platform Capabilities: Does the tool support the relevant blockchain and contract language?
• Integration with Development Workflows: Can the solution plug into CI/CD systems for continuous auditing?
• Reporting and Alerting Features: Does it offer clear, actionable reports?
• Vendor Expertise: Are skilled security professionals available to review flagged issues?
• Ongoing Support and Updates: Will the platform adapt as new vulnerabilities emerge?

Reputable partners and well-reviewed AI platforms provide peace of mind when launching critical blockchain projects.

Blockchain smart contracts can be updated or redeployed as projects evolve. However, new code changes can reintroduce vulnerabilities. Static audits performed before deployment may miss issues that arise after the contract interacts with live assets. This makes continuous, AI-powered monitoring a vital part of ongoing contract management.

Automated tools alert administrators to suspicious activity, unexpected program flows, and changes in contract storage. Real-time insights make it possible to respond promptly to emerging threats.

With the expansion of blockchain across fintech, healthcare, and government, regulatory scrutiny of smart contract security is increasing. Auditing and documentation help businesses comply with evolving standards, including those related to money laundering prevention, data privacy, and transaction reporting.

AI-powered solutions assist in automating compliance checks and generating reports required by auditors and regulators.

Businesses considering Smart Contract Development Services should keep the following points in mind:

• Review the security policies of any development partner.
• Request detailed audit reports and sample methodologies.
• Verify that AI-assisted auditing is part of the quality assurance process.
• Seek demonstration of continuous monitoring capabilities.
• Demand transparency around how flagged issues are investigated and resolved.

Engagement in these areas helps clients manage risk and build reliable blockchain solutions.

Q1: What is the difference between manual and AI-powered auditing?

Manual auditing involves human security experts reviewing code for vulnerabilities. AI-powered auditing uses algorithms and machine learning to scan code automatically. Most comprehensive audits combine both approaches.

Q2: Can AI tools find all vulnerabilities in smart contracts?

AI tools improve detection rates but are not foolproof. Complex or novel vulnerabilities may escape detection, so manual inspection remains necessary.

Q3: How often should smart contracts be audited?

Contracts should be audited prior to deployment and after any significant updates or changes. Continuous monitoring can help catch threats in real time.

Q4: Are AI-auditing solutions suitable for all blockchain platforms?

Most leading AI-powered auditing tools support popular platforms like Ethereum and Binance Smart Chain, but compatibility should be verified before adoption.

Q5: What are the main costs involved in smart contract auditing?

Costs depend on contract complexity, auditing methodology, and whether you use manual or AI-powered services. Investing in comprehensive audits helps reduce the risk of costly attacks later.

For businesses new to smart contracts, starting with these steps can lead to secure deployments:

1. Define project requirements and intended contract logic.
2. Engage with a Smart Contract Development Services provider with proven security credentials.
3. Request for AI-powered auditing as part of the development process.
4. Perform detailed testing and simulation prior to launch.
5. Deploy contracts with continuous monitoring systems in place.
6. Regularly update and re-audit contracts in response to changes.

These steps create a foundation for reliable blockchain solutions.

In the fast-changing world of blockchain, smart contracts promise automation and trust. But these benefits depend on rigorous security practices and effective auditing. By using AI-powered tools alongside skilled professionals, businesses can protect digital assets, maintain compliance, and earn user trust.

AI-powered smart contract auditing offers speed, accuracy, and efficiency, but should always be integrated with thorough manual inspection and smart development practices. As the technology matures, businesses that prioritize security are best positioned to succeed in the growing blockchain ecosystem.

If you’re considering blockchain integration for your organization, working with experienced professionals makes all the difference. [codezeros] specializes in Smart Contract Development, combining cutting-edge tools and expert support to design, audit, and launch secure contracts tailored to your goals.

Contact codezeros today to learn how our Smart Contract Development Services can secure your blockchain transactions and help your business move forward with confidence.

What you need to know

• The CMF Watch 3 Pro features an upgraded four-channel heart rate sensor, and 131 sports modes (including seven smart recognition activities).
• It also comprises an AI-powered running guidance and improved sleep tracking.
• The smartwatch features a larger 1.43-inch AMOLED display (with a peak brightness of 670 nits) and over 120 customizable watch faces.
• It further includes built-in dual-band GPS for precise location, features stable connection via the new Nothing X app, and offers up to 13 days of battery life.

Nothing’s sub-brand CMF has unveiled a new smartwatch, dubbed the CMF Watch 3 Pro. It comes as a successor to the Watch Pro 2 with significant upgrades.

The Watch 3 Pro is being positioned as an affordable and intelligent health and fitness tracker. It features an upgraded four-channel heart rate sensor, which is believed to showcase more accurate and reliable readings when compared to the predecessor Watch Pro 2 model.

According to the latest community blog post, the smartwatch incorporates 131 sports modes, which also comprise seven smart recognition activities — significantly higher than the previous iteration, which came with 120 models and five smart recognition activities. Additionally, for the first time, the Watch 3 Pro features AI-powered running guidance, real-time coaching, and personalized recovery tips, as well as enhanced sleep tracking accuracy.

In terms of accuracy, the Watch 3 Pro also features a built-in dual-band GPS that claims to provide precise location tracking, a notable addition over its predecessor. While the smartwatch still relies on Bluetooth 5.3, it is promised to have a stable connection with the help of the Nothing X app.

The Nothing X app is replacing the popular CMF Watch app, as it now includes support for the Watch 3 Pro, as well as previous smartwatches like the CMF Watch Pro and Watch Pro 2. The new Nothing X app is said to offer a new control center for settings and detailed fitness insights.

Users should note that the CMF Watch app will remain active until July 2026, a measure offered by the company to ensure a smoother transition for CMF users.

The Watch Pro 2, the latest iteration of the Watch 3 Pro, features a larger 1.43-inch AMOLED display and a notable increase in peak brightness, reaching a maximum of 670 nits. It also features over 120 customizable watch faces, which include dynamic and interactive options. As for the build, the latest smartwatch comes with a metal body, new color options, and an IP68 rating.

As for battery life, the Watch 3 Pro promises 13 days of typical use and 10 days of heavy usage. In comparison, the Watch Pro 2 was promised with an 11-day battery life. The CMF Watch 3 Pro also features a wide range of smart capabilities, including a voice assistant, remote camera control, music controls, and the ability to record transcriptions, among others.

The CMF Watch 3 Pro has not been announced for global regions, and it retails at £99. For those who order right away, they can expect the smartwatch to reach their doorstep by the end of July.

Blockchain technology has introduced a new era of digital trust, transparency, and decentralized operations. At the heart of this innovation are smart contracts — self-executing agreements that automate transactions and processes without the need for intermediaries. While smart contracts bring efficiency and reliability, they also present unique security challenges. Vulnerabilities in code can lead to significant financial losses and reputational damage. As blockchain adoption grows, the need for robust smart contract auditing becomes more critical than ever.

This blog explores how artificial intelligence (AI) is reshaping the way smart contracts are audited, making the process more efficient, accurate, and accessible for businesses. Whether you are a startup, an enterprise, or a Smart Contract Development Company, understanding the benefits and workings of AI-powered auditing can help you make informed decisions about blockchain security.

What Are Smart Contracts?

Smart contracts are digital protocols that automatically execute predefined actions when certain conditions are met. They are widely used in various blockchain applications, including decentralized finance (DeFi), supply chain management, gaming, and more. By removing the need for manual intervention, smart contracts reduce costs and increase transaction speed.

Common Vulnerabilities in Smart Contracts

Despite their advantages, smart contracts are not immune to risks. Some of the most common vulnerabilities include:

• Reentrancy Attacks: When a contract calls an external contract, which then calls back into the original contract before the first execution is complete.
• Integer Overflow/Underflow: Errors that occur when a calculation exceeds the storage capacity of a variable.
• Timestamp Dependence: Relying on block timestamps for critical logic, which can be manipulated by miners.
• Access Control Issues: Improper implementation of permissions can allow unauthorized actions.
• Front-Running: Attackers exploiting transaction ordering to gain an unfair advantage.

The Importance of Auditing

Auditing is the process of reviewing and analyzing smart contract code to identify and fix vulnerabilities before deployment. A thorough audit helps prevent exploits, protects funds, and builds trust among users and stakeholders.

How AI Is Changing the Game

Artificial intelligence brings a new dimension to smart contract auditing by automating complex analysis and learning from vast datasets. AI-powered tools can:

• Analyze large volumes of code quickly.
• Detect patterns and anomalies that may indicate vulnerabilities.
• Continuously improve by learning from new exploits and audit reports.

Key Technologies Behind AI-Powered Auditing

• Machine Learning (ML): Algorithms trained on historical data to recognize security flaws.
• Natural Language Processing (NLP): Helps interpret code comments, documentation, and logic.
• Pattern Recognition: Identifies recurring code structures associated with vulnerabilities.

Advantages of AI-Powered Auditing

• Speed: AI can review thousands of lines of code in minutes.
• Consistency: Reduces the risk of human oversight.
• Adaptability: Learns from new threats and adapts detection strategies.

Data Collection and Training

AI systems are trained on extensive datasets containing examples of vulnerable and secure smart contracts. This training enables the AI to recognize subtle indicators of risk.

Code Analysis

The AI examines smart contract code using techniques such as:

• Static Analysis: Scanning code without executing it to find vulnerabilities.
• Dynamic Analysis: Simulating contract execution to observe behavior under different scenarios.

Vulnerability Detection

AI models flag potential issues, categorize them by severity, and suggest remediation steps. The findings are then reviewed by human auditors for validation.

Continuous Learning

As new vulnerabilities are discovered and patched, the AI updates its knowledge base, improving its detection capabilities over time.

DeFi Platforms

Decentralized finance projects handle millions of dollars in user funds. AI-powered auditing has helped identify and fix vulnerabilities in protocols such as lending platforms, decentralized exchanges, and stablecoins, reducing the risk of hacks and exploits.

NFT Marketplaces

Non-fungible token (NFT) platforms use smart contracts for minting, trading, and royalties. AI-driven audits have uncovered issues related to ownership verification and royalty payments, ensuring fair transactions.

Supply Chain Solutions

Blockchain-based supply chain systems rely on smart contracts for tracking goods and payments. AI auditing has been used to validate contract logic, preventing fraud and disputes.

Faster Time to Market

AI-powered auditing shortens the audit cycle, allowing businesses to deploy smart contracts more quickly without compromising on security.

Cost Efficiency

By automating much of the analysis, AI reduces the need for extensive manual labor, making audits more affordable for startups and enterprises alike.

Improved Accuracy

AI tools can detect subtle vulnerabilities that might be missed during manual review, providing a higher level of assurance.

Ongoing Monitoring

Some AI solutions offer continuous monitoring, alerting businesses to new threats as they emerge and helping maintain contract integrity over time.

False Positives and Negatives

While AI improves detection, it is not infallible. Some issues may be flagged incorrectly, while others may go unnoticed. Human oversight remains essential.

Data Privacy

Training AI models requires access to large datasets, which may include sensitive or proprietary code. Protecting this data is a key concern.

Evolving Threats

As attack methods evolve, AI models must be regularly updated to stay effective. Ongoing investment in research and development is necessary.

Integration with Existing Workflows

Businesses must adapt their development and audit processes to incorporate AI tools effectively. This may require training and change management.

False Positives and Negatives

While AI improves detection, it is not infallible. Some issues may be flagged incorrectly, while others may go unnoticed. Human oversight remains essential.

Data Privacy

Training AI models requires access to large datasets, which may include sensitive or proprietary code. Protecting this data is a key concern.

Evolving Threats

As attack methods evolve, AI models must be regularly updated to stay effective. Ongoing investment in research and development is necessary.

Integration with Existing Workflows

Businesses must adapt their development and audit processes to incorporate AI tools effectively. This may require training and change management.

• Reputation: Look for providers with a proven track record in smart contract security.
• Technology: Assess the AI capabilities and the types of vulnerabilities the tool can detect.
• Support: Ensure that the provider offers expert support for interpreting results and implementing fixes.
• Integration: Choose solutions that fit seamlessly with your existing development tools and workflows.

• What types of vulnerabilities does your AI detect?
• How do you handle false positives?
• What is the process for updating your AI models?
• Can your tool integrate with our development pipeline?
• What support do you offer during and after the audit?

1. Define Security Requirements: Identify the level of security needed based on your project’s risk profile.
2. Select an Auditing Partner: Choose a provider with expertise in AI-powered smart contract auditing.
3. Prepare Your Code: Ensure your smart contracts are well-documented and ready for review.
4. Conduct the Audit: Submit your code for analysis and collaborate with the audit team to address findings.
5. Review and Fix Issues: Work with developers to resolve vulnerabilities identified by the AI.
6. Deploy and Monitor: Launch your smart contract and monitor it using AI tools for ongoing security.

Can AI replace human auditors?

AI is a powerful tool that can automate and improve many aspects of smart contract auditing. However, human expertise is still needed to interpret complex issues, make judgment calls, and provide context-specific recommendations.

Are AI-powered audits suitable for all smart contracts?

Most AI tools are designed to handle a wide range of smart contracts, but highly specialized or novel contracts may require additional manual review.

How often should smart contracts be audited?

It is recommended to audit smart contracts before deployment and after any significant updates. Continuous monitoring can also help detect new vulnerabilities as they arise.

AI-powered smart contract auditing represents a significant step forward in blockchain security. By combining speed, accuracy, and adaptability, AI tools help businesses identify and address vulnerabilities more effectively. As blockchain adoption continues to grow, investing in advanced auditing solutions will be essential for protecting assets and maintaining trust.

If you are looking for expert guidance and reliable solutions, consider partnering with a trusted Smart Contract Development company. codezeros offers comprehensive smart contract development and auditing services to help you build secure and efficient blockchain applications.

According to a June 17 report by Fox News, the company recently introduced two new robots, HopeJR and Reachy Mini, designed to be open, affordable, and easy for anyone to use.

HopeJR is a full-size robot with 66 moving joints, capable of walking, using its arms, and performing a variety of movements independently.

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Hugging Face plans to price it around $3,000, far below what robots of this scale usually sell for. This price makes it more practical for schools, small research teams, or individuals who want to explore robotics without needing a large budget.

Additionally, Reachy Mini is about 11 inches tall and designed for use on a desk. It includes a camera, microphone, and speaker, and it can move its head in six different directions.

Reachy Mini is expected to cost between $250 and $300. It is made to be simple to build and customize. It also integrates with Hugging Face Spaces, which provides users with access to over 500,000 AI tools already available through the Hugging Face Hub.

Both robots are open-source, which means anyone can build them from scratch, modify their functionality, or even add new features.

Hugging Face CEO Clem Delangue said this open model is meant to keep robotics accessible and prevent the field from being controlled by a few large companies.

Meanwhile, Mattel, the company behind brands like Barbie and Hot Wheels, has announced a partnership with OpenAI. What’s the goal of the collaboration? Read the full story.