DDOS_404
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https://venom.foundation/ecosystem a new interesting project to follow closely.
The projects to follow in 2024:
Algotech https://algotech.trade/invite?ref=ALG1708857755474335210
BlockDAG https://purchase.blockdag.network/?ref=0ngh0ej1
Inqubeta https://buy.inqubeta.ai/register?ref=INQUD34308
GreenBitcoin
SatoshiDEX
Kangamoon https://presale.kangamoon.com/invite?ref=ID7805
DeeStream
and if you want to get some risks KoalaKash and MileiMoneda.
Algotech https://algotech.trade/invite?ref=ALG1708857755474335210
BlockDAG https://purchase.blockdag.network/?ref=0ngh0ej1
Inqubeta https://buy.inqubeta.ai/register?ref=INQUD34308
GreenBitcoin
SatoshiDEX
Kangamoon https://presale.kangamoon.com/invite?ref=ID7805
DeeStream
and if you want to get some risks KoalaKash and MileiMoneda.
$ETH #mining - new project to not miss
Bitcoin Minetrix – Earn High Annual Yields and Cloud Mining Credits, Buy Before Price Rises By 16%
Bitcoin Minetrix ($BTCMTX) is our top pick for the best future cryptocurrency projects in 2023. This crypto platform combines proof-of-work and proof-of-stake – offering a unique stake-to-mine crypto process.
Bitcoin Minetrix presale
Users looking to benefit from Bitcoin mining cost-effectively can join the Bitcoin Minetrix platform to access tokenized cloud mining credits. Cloud mining is a process through which individuals can get rented mining times through third-party corporations since it saves the costs associated with buying hardware and advanced equipment to mine cryptos.
However, Bitcoin Minetrix is the first platform to decentralize the cloud mining process. By offering ERC-20 cloud mining credits, Bitcoin Minetrix ensures transparency and security of the user’s assets. The tokens can be earned by purchasing and staking $BTCMTX – the native token. These tokens are staked on an Ethereum-powered smart contract on the Bitcoin Minetrix ecosystem.
While the cloud mining credits cannot be traded, they can be burned to earn Bitcoin cloud mining power. Thus, users can access allocated mining times and earn a portion of Bitcoin mining fees. Bitcoin Minetrix is also witnessing huge success – having raised over $2.1 million since the launch of the token presale.
While $BTCMTX has a low supply of 4 billion tokens – 70% are being allocated for the ongoing presale. Currently, the token is priced at just $0.0112 – but will jump to $0.0129 by the final round. This represents a price increase of 15.17%.
Bitcoin Minetrix cloud mining
By the end of the presale, Bitcoin Minetrix aims to raise a hard cap of $33.46 million. Once the token is listed on crypto exchanges, we can potentially see the price flourish with an increase in trading volume. Bitcoin Minetrix is also offering annual yields as high as 270% to staked token holders.
Stay updated with this cryptocurrency by going through the Bitcoin Minetrix whitepaper
Bitcoin Minetrix – Earn High Annual Yields and Cloud Mining Credits, Buy Before Price Rises By 16%
Bitcoin Minetrix ($BTCMTX) is our top pick for the best future cryptocurrency projects in 2023. This crypto platform combines proof-of-work and proof-of-stake – offering a unique stake-to-mine crypto process.
Bitcoin Minetrix presale
Users looking to benefit from Bitcoin mining cost-effectively can join the Bitcoin Minetrix platform to access tokenized cloud mining credits. Cloud mining is a process through which individuals can get rented mining times through third-party corporations since it saves the costs associated with buying hardware and advanced equipment to mine cryptos.
However, Bitcoin Minetrix is the first platform to decentralize the cloud mining process. By offering ERC-20 cloud mining credits, Bitcoin Minetrix ensures transparency and security of the user’s assets. The tokens can be earned by purchasing and staking $BTCMTX – the native token. These tokens are staked on an Ethereum-powered smart contract on the Bitcoin Minetrix ecosystem.
While the cloud mining credits cannot be traded, they can be burned to earn Bitcoin cloud mining power. Thus, users can access allocated mining times and earn a portion of Bitcoin mining fees. Bitcoin Minetrix is also witnessing huge success – having raised over $2.1 million since the launch of the token presale.
While $BTCMTX has a low supply of 4 billion tokens – 70% are being allocated for the ongoing presale. Currently, the token is priced at just $0.0112 – but will jump to $0.0129 by the final round. This represents a price increase of 15.17%.
Bitcoin Minetrix cloud mining
By the end of the presale, Bitcoin Minetrix aims to raise a hard cap of $33.46 million. Once the token is listed on crypto exchanges, we can potentially see the price flourish with an increase in trading volume. Bitcoin Minetrix is also offering annual yields as high as 270% to staked token holders.
Stay updated with this cryptocurrency by going through the Bitcoin Minetrix whitepaper
#Amazing growth! ... keep an eye on it!!
$AI and WEB3
What are the Potential Risks of Generative AI in Web3, and How can you Combat them?
Generative AI in web3 carries certain risks that should be addressed to ensure its responsible and secure use:
Intellectual Property Infringement:
Implement robust copyright protection measures and encourage using licenses to avoid unauthorized replication or misuse of generated content.
Quality and Accuracy:
Implement rigorous quality control processes and human validation to ensure the accuracy and reliability of the generated content.
Privacy Concerns:
Employ privacy-preserving techniques such as differential privacy and data anonymization to safeguard sensitive information used in the generative AI process.
Malicious Use:
Regularly monitor and audit generative AI systems to detect and prevent malicious or harmful behavior, utilizing security measures and threat detection mechanisms.
Bias and Fairness:
Ensure diverse and representative training datasets to minimize bias in generated content and establish fairness metrics to evaluate and address any biases.
To combat these risks in AI-driven crypto projects, consider the following measures:
Utilize AI-based content moderation tools such as Perspective API by Google or Two Hat’s Community Sift.
Implement data privacy-preserving techniques like federated learning, homomorphic encryption, and anonymization.
Ensure representative datasets are used to train generative AI algorithms for credibility, such as ImageNet or MNIST.
Employ AI-based fraud detection tools like Fraud.Net, Kount, or NICE Actimize.
Implement AI content analysis metrics that assess fairness and accountability.
Establish standards and practices specifically for the use of generative AI in Web3.
The most 5 interesting AI projects that you should not miss:
InQubeta
Cortex
DigiToads
The Graph
SingularityNET
What are the Potential Risks of Generative AI in Web3, and How can you Combat them?
Generative AI in web3 carries certain risks that should be addressed to ensure its responsible and secure use:
Intellectual Property Infringement:
Implement robust copyright protection measures and encourage using licenses to avoid unauthorized replication or misuse of generated content.
Quality and Accuracy:
Implement rigorous quality control processes and human validation to ensure the accuracy and reliability of the generated content.
Privacy Concerns:
Employ privacy-preserving techniques such as differential privacy and data anonymization to safeguard sensitive information used in the generative AI process.
Malicious Use:
Regularly monitor and audit generative AI systems to detect and prevent malicious or harmful behavior, utilizing security measures and threat detection mechanisms.
Bias and Fairness:
Ensure diverse and representative training datasets to minimize bias in generated content and establish fairness metrics to evaluate and address any biases.
To combat these risks in AI-driven crypto projects, consider the following measures:
Utilize AI-based content moderation tools such as Perspective API by Google or Two Hat’s Community Sift.
Implement data privacy-preserving techniques like federated learning, homomorphic encryption, and anonymization.
Ensure representative datasets are used to train generative AI algorithms for credibility, such as ImageNet or MNIST.
Employ AI-based fraud detection tools like Fraud.Net, Kount, or NICE Actimize.
Implement AI content analysis metrics that assess fairness and accountability.
Establish standards and practices specifically for the use of generative AI in Web3.
The most 5 interesting AI projects that you should not miss:
InQubeta
Cortex
DigiToads
The Graph
SingularityNET
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