In a recent update from Paolo Ardoino, the Chief Technology Officer of Tether, it was revealed that Tether is in the testing phase of its new Bitcoin mining platform named Moria. The announcement, made via Ardoino’s official Twitter handle on [Date], highlighted the integration of the first containers and miners into the platform.
According to the details shared, the Moria platform has undergone significant software enhancements. All Power Distribution Unit (PDU) management and miner interactions, including settings related to frequency and power, are now entirely software-driven. This level of automation ensures that any write actions on the platform necessitate multisig (multi-signature) approval, adding an extra layer of security.
Furthermore, Ardoino emphasized the platform’s peer-to-peer (P2P) capabilities, stating it’s “All P2P. Perfect for #IoT.” This suggests that Moria is designed to seamlessly integrate with Internet of Things (IoT) devices, potentially revolutionizing the way mining operations interact with smart devices.
While Ardoino described the advancements as “almost magic,” it’s essential to note that the full capabilities and potential applications of the Moria platform remain to be seen as it’s still in the testing phase.
It’s worth mentioning that while Tether is primarily known for its stablecoin, this move indicates a diversification into the Bitcoin mining sector. However, as with all technological advancements, only time will tell how this development will impact the broader cryptocurrency ecosystem. Beyond its flagship product, USDT, Tether is also expanding its business into Bitcoin mining and adoption.
On August 26, 2023, as reported by Blockchain.News, Ardoino addressed growing speculation surrounding a photo showcasing a container with the “Tether Energy” logo. Confirming the photo’s authenticity, he unveiled it as a depiction of a control room at a nearing-completion site in Latin America. This site, under the Tether Energy venture, aims to establish global partnerships for renewable energy production and Bitcoin mining. Ardoino emphasized the importance of geographically decentralizing Bitcoin mining, countering the current concentration in specific regions. The site is expected to commence operations in the coming weeks.
Earlier, on August 5, 2023, Ardoino shared insights into Tether’s development endeavors. The team is nearing the completion of advanced JavaScript libraries designed to interact with various cryptocurrency miners. These libraries, described as “really high-quality stuff,” will play a pivotal role in the Moria mining farm orchestration tool. This tool, based on technology from Holepunch.to, where Ardoino also serves as a co-founder and Chief Strategy Officer, facilitates the creation of peer-to-peer (P2P) programs without servers. Ardoino hinted at the tool’s potential expansion to monitor energy production, reflecting the increasing emphasis on energy efficiency in crypto mining.
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Forefront AI is a software platform that acts as a service aggregator, primarily integrating advanced natural language processing (NLP) capabilities from ChatGPT and Claude. The platform enhances these foundational services by adding unique features, making it a comprehensive tool for various applications.
Core Integrations
ChatGPT: Forefront AI leverages the capabilities of ChatGPT, providing users with powerful NLP functionalities.
Claude: Another integral component of Forefront AI, Claude brings additional AI capabilities to the platform.
Key Features
Enhanced ChatGPT Experience: Forefront AI offers an enriched ChatGPT experience, delivering powerful NLP capabilities.
Internet Content Access: ChatGPT does not have direct access to the internet. All models on Forefront can access the Internet. Users can enable this feature by toggling “Access Internet” to “Enabled”.
Image Generation: Users can generate images based on textual prompts, expanding creative possibilities.
Custom Personas: Forefront AI allows users to select from a range of personas, tailoring the AI’s behavior to specific needs. There are default assistants for various domains like engineering, marketing, sales, cooking, fashion, and more. Users can also create custom assistants by providing specific behavior instructions.
Shareable Chats: Users can save and share their chat sessions, facilitating collaboration and communication.
Switch Between Models: A unique feature of Forefront Chat is the ability to switch between different AI models seamlessly.
Applications
Content Creation: Forefront AI can be used for generating high-quality content for blogs, articles, and social media posts.
Education: Students can benefit from the platform’s ability to provide instant answers and educational resources.
Entertainment: Beyond serious tasks, the platform can be used for games, jokes, and memes.
Marketing and Branding: Companies can leverage Forefront AI to craft marketing strategies, generate ad copies, and understand brand sentiment, optimizing their outreach efforts.
Customer Service: Businesses can utilize the platform to deliver instant responses to customer queries, enhancing the overall customer service experience.
Personal Assistance: The platform can serve as a virtual assistant, aiding in tasks like scheduling and reminders.
Data Analysis: Forefront AI can be employed to analyze vast amounts of textual data, extracting insights, trends, and patterns that can guide decision-making processes.
Research: The vast knowledge base of the platform can assist researchers in information retrieval and paper generation.
Pricing
Free Tier:
Cost: $0 per month
Features: Unlimited GPT-3.5 and Claude Instant messages, limited access to premium models and features, 100 GPT-3.5 messages/3 hours, 100 Claude Instant messages/3 hours, 4096 token input length, 5 internet searches/3 hours, 3 file uploads/3 hours.
Pro Tier:
Cost: $29 per month
Features: 30 GPT-4 messages/3 hours, 30 Claude 2 messages/3 hours, unlimited GPT-3.5 and Claude Instant messages, 100k token input length, unlimited internet searches and file uploads every 3 hours.
Ultra Tier:
Cost: $69 per month
Features: 70 GPT-4 messages/3 hours, 70 Claude 2 messages/3 hours, unlimited GPT-3.5 and Claude Instant messages, 250k token input length, unlimited internet searches and file uploads every 3 hours.
Forefront Enterprise:
Custom pricing tailored for enterprises.
Features: Advanced security, powerful admin controls, onboarding support, SAML SSO, dedicated Slack channel, custom billing, enterprise-grade security, self-hosting, and more.
Privacy, Security, and Legal Concerns
While the specific details regarding Forefront AI’s privacy, security, and legal measures have not been provided in the given content, it’s essential for users to consult the platform’s official terms of service, privacy policy, and any related documentation. Ensuring data protection, understanding the platform’s data usage policies, and being aware of any legal implications are crucial when using any AI service.
Conclusion
Forefront AI stands out as a service aggregator, enhancing the capabilities of foundational AI models like ChatGPT and Claude. By offering a suite of features tailored to enhance user experience, the platform is poised to make significant contributions to various sectors, from business to education. With a range of pricing options, it caters to both individual users and enterprises, ensuring accessibility and scalability.
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Magic Eden, a leading figure in the NFT marketplace, has unveiled its integration of cNFTs, a pioneering form of NFTs that are exclusive to the Solana blockchain. The term “cNFT” is an abbreviation for “compressed NFTs”, underscoring their unique capability to be crafted at a fraction of the cost of their traditional counterparts.
The announcement from Magic Eden delved deep into the potential of cNFTs. One of the primary advantages is their cost-effectiveness, which empowers creators to produce content on a grander scale without the hefty price tag. This not only paves the way for increased experimentation by creators but also provides a more accessible gateway for newcomers to the NFT realm. By making the entry point more affordable and less risky, Magic Eden believes that cNFTs have the potential to revitalize the NFT landscape, making it more vibrant and inclusive for collectors.
However, the introduction of cNFTs hasn’t been without its share of controversies. The choice of the term “cNFT” drew criticism from certain quarters of the digital community. A tweet from user @21e6Crypto on September 15 questioned Magic Eden’s decision to adopt an acronym that was already in circulation within the NFT ecosystem. Responding to the critique, Magic Eden clarified their stance, stating, “we didn’t create cNFTs, we integrated support for them.”
A deeper exploration into the mechanics of cNFTs reveals their foundational reliance on Merkle trees. This data structure is renowned for its ability to “compress” the verifiability of a vast data tree into a singular, identifiable “hash”. Solana Labs engineers have further refined this compression technique, introducing a capability that permits multiple simultaneous updates to Merkle trees within one block. This innovation is a hallmark of Solana, as detailed in their whitepaper.
For developers eager to harness the potential of cNFTs, a comprehensive understanding of Merkle trees is indispensable. Once the Merkle tree is initialized, NFTs can be minted using specialized tools. One such tool isBubblegum, a smart contract devised by Metaplex. To fetch the most recent data, developers would need to rely on RPCs, with platforms like Helius, SimpleHash, and Triton offering support for cNFTs. Lastly, to make any modifications to the NFTs, Merkle tree proofs are a prerequisite.
In conclusion, Magic Eden’s strategic decision to support cNFTs is a testament to the rapidly evolving dynamics of the NFT market. As platforms continue to push the boundaries of innovation, the broader community and industry stakeholders will be closely monitoring the adoption trajectory and broader implications of these compressed NFTs.
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An AI nude generator is a sophisticated software application that utilizes artificial intelligence, specifically deep learning models, to digitally “undress” images of individuals. By processing input images, these generators can simulate a “nude” version, even though the original image showed the person clothed. The technology behind these generators often involves Generative Adversarial Networks (GANs) and other neural network architectures trained on vast datasets of clothed and unclothed human figures. The AI learns to recognize clothing patterns, human anatomy, and how to realistically replace clothes with synthetic skin textures and features.
While the technology showcases the advanced capabilities of AI, it also raises significant ethical and privacy concerns. The potential misuse of such tools can lead to violations of privacy, non-consensual distribution of manipulated images, and other harmful actions. As AI continues to evolve, the existence of such tools underscores the pressing need for ethical guidelines, user awareness, and regulatory measures to ensure that technology serves the broader good and respects individual rights. Additionally, AI nude generators are often colloquially referred to as “clothes removers.”
Three categories of AI Nude or Clothes Remover Tools
General AI Image Generators with Constraints: In theory, all AI image generators possess the capability to function as nude AI generators. However, many of these tools have constraints against such content. Despite these restrictions, users can apply specific Not Safe For Work (NSFW) commands or prompts that can bypass these limitations. When these commands are applied, these general AI image generators can be likened to a “jailbroken” state, granting them broader capabilities. Examples of such generators include Stability AI and Starryai.
Inherent NSFW AI Image Generators: These are AI tools designed without any content constraints, inherently serving as NSFW image generators. Notable tools in this category include Unstable Diffusion, Soulgen, Unstability.AI, PicSo, DreamGF, Dezgo, OnlyFakes, Magic Eraser and Seduced AI.
Dedicated AI Nude or Clothes Remover Tools: These tools are explicitly crafted for the purpose of generating nude images or removing clothes from images. Renowned tools in this segment are DeepNude, DeepNudeNow, Remover.app, NudifyOnline, DeepSukebe.
Typical AI Nude or Clothes Remover Generators
Stability AI: Responsible for open-source systems like Dance Diffusion and Stable Diffusion, has secured $101 million in funding, valuing the company at $1 billion post-money. Founded in 2020 by CEO Emad Mostaque, a former hedge fund analyst and Oxford graduate, the London and San Francisco-based firm aims to accelerate open-source AI initiatives. Despite its vast resources, including over 4,000 Nvidia A100 GPUs, Stability AI has faced criticism for the controversial content generated by Stable Diffusion. The company plans to monetize by training private models and acting as an infrastructure layer. They also offer DreamStudio, an API platform with over 1.5 million users.
SoulGen: SoulGen is an AI art generator that transforms text prompts into real or anime images swiftly. Designed for ease of use, it allows users to describe their envisioned figures, particularly “dream girls” or “soulmates,” and generates corresponding art in seconds. SoulGen is dedicated to making the realization of one’s imaginative visions both effortless and authentic.
OnlyFakes: OnlyFakes is a pioneering AI-driven platform that generates lifelike images from user prompts, specializing in NSFW content while maintaining ethical standards. The platform emphasizes user safety, content integrity, and operates within strict ethical guidelines, ensuring images are AI-generated and not of real individuals. OnlyFakes offers a seamless user experience, from image selection to final generation, and promotes community engagement by allowing users to share, remix, and draw inspiration. It also provides premium services like OnlyFakes Gold for faster image generation. Prioritizing user data protection, OnlyFakes is redefining digital art boundaries, merging AI with artistic expression, and is poised to significantly impact the future of digital content creation.
DeepNudeNow: DeepNudeNow is an AI platform that converts photos of clothed women into nudes, prioritizing user privacy by not storing any images. It operates using a modified version of NVIDIA’s pix2pixHD GAN architecture. Due to the challenge of obtaining paired datasets of dressed and nude images, DeepNudeNow employs a divide-and-conquer strategy, breaking the problem into three sub-tasks: generating a clothing mask, creating an abstract anatomical representation, and producing the fake nude image. The process involves multiple GAN phases, interspersed with computer vision transformations using OpenCV, culminating in the addition of watermarks to the generated images.
DeepSukebe: an “AI-leveraged nudifier,” offers services that use AI to ‘undress’ images of women, charging up to $40 in cryptocurrency. British MP Maria Miller has called for its ban, emphasizing the severe impact of distributing sexual images without consent. The platform allows users to upload images, which its AI then ‘undresses’, boasting anonymity without requiring sign-ups or email addresses. DeepSukebe, attracting over 4,500 daily visitors mainly from Asia, plans to enhance its AI capabilities. The site is hosted by IP Volume inc in Seychelles, which is potentially flagged as high-risk. Miller has been advocating against non-consensual distribution of intimate images online.
Legal, Security, and Privacy Implications of AI Nude Generators
The advent of AI-powered nude generators has brought forth a myriad of concerns, particularly in the realms of legality, security, and individual privacy. At the heart of the issue is the potential misuse of these tools: when a user uploads an image of someone and generates a nude version, it can lead to the creation and dissemination of fake explicit content. Such unauthorized and deceptive representations can have devastating consequences for the depicted individual, ranging from personal distress to reputational damage. In many jurisdictions, the distribution of non-consensual explicit images, even if AI-generated, is not only seen as a profound violation of personal rights but is also illegal.
From a security standpoint, while some platforms tout their anonymity and claim not to store images, the risk of data breaches remains. In such events, users’ uploaded photos could fall into the wrong hands, leading to unintended and widespread distribution.
Privacy is another significant concern. The mere capability of these tools to produce explicit content from innocent images without the subject’s knowledge or consent is ethically troubling.The importance of implementing robust safeguards to protect individuals from potential exploitation and to uphold personal privacy in our digital era cannot be overstated.
With the rapid progression of AI technologies, it becomes crucial for legislators, technology creators, and the wider community to proactively tackle these issues. This proactive approach guarantees that technological progress respects ethical boundaries and prioritizes the overall welfare of individuals.
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The global EY organization has officially announced the launch of EY.ai, a comprehensive platform designed to facilitate the confident and responsible integration of artificial intelligence (AI) into businesses. This initiative is the result of an 18-month development process and a significant investment of US$1.4 billion.
Key Highlights
EY.ai’s Objective: The platform aims to merge human expertise with AI, leveraging EY’s vast business experience. It is designed to assist organizations in harnessing the transformative power of AI across various sectors, including strategy, transactions, transformation, risk, assurance, and tax.
Investment Details: EY’s US$1.4 billion investment has been instrumental in embedding AI into proprietary EY technologies, notably EY Fabric, which is currently utilized by 60,000 EY clients and over 1.5 million unique users. This investment also facilitated a series of EY technology acquisitions, bolstered by cloud and automation technologies.
EY.ai EYQ: Following a pilot involving 4,200 EY technology-focused team members, EY plans to release EY.ai EYQ, a secure, large language model. Additionally, EY will introduce tailored AI learning and development programs for its workforce. This initiative builds upon EY’s previous AI and data analytics learning programs, which have awarded over 100,000 credentials since 2018.
AI Ecosystem: EY.ai is establishing an AI ecosystem that encompasses a diverse range of business, technological, and academic AI capabilities. Notable alliances include partnerships with industry giants such as Dell Technologies, IBM, Microsoft, SAP, ServiceNow, Thomson Reuters, and UiPath. Specifically, Microsoft has granted EY early access to Azure OpenAI capabilities, including GPT-3 and GPT-4, to enhance EY’s service offerings.
AI Solutions and Services: EY.ai will be anchored by several AI-powered tools and services, including the EY.ai Confidence Index, the EY.ai Maturity Model, and the EY.ai Value Accelerator. Moreover, the platform will integrate generative AI into EY Fabric, which powers 80% of EY’s US$50 billion business.
Collaborative Endeavor: Andy Baldwin, EY Global Managing Partner – Client Service, emphasized the collaborative nature of EY.ai, stating that the platform aims to “deliver an unparalleled level of excellence in client service” by merging the capabilities of EY’s ecosystem collaborators with AI-enhanced teams.
Future Collaborations: EY is in discussions with the University of Southern California’s School of Advanced Computing regarding potential joint-research opportunities, following the university’s US$1 billion Frontier of Computing initiative.
Marketing Campaign: EY.ai’s launch will be accompanied by a marketing campaign themed ‘The Face of the Future’, set to go live in October. The campaign will focus on showcasing how AI can augment EY’s diverse services.
About EY
EY, part of the global Ernst & Young organization, is dedicated to building a better working world by creating long-term value for clients, people, and society. With teams in over 150 countries, EY provides services across assurance, consulting, law, strategy, tax, and transactions. Leveraging data and technology, EY addresses complex issues facing today’s world. While EY refers to the global organization, it encompasses various member firms of Ernst & Young Global Limited, each a distinct legal entity. EY prioritizes trust in the capital markets and innovation through its diverse teams.
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PolkaWorld, the Chinese community for Polkadot, recently announced a halt in its operations due to the rejection of its proposal. This marks the first time in its four-year history, since its inception in 2019, that it has had to pause. The changes leading to this decision occurred after Polkadot initiated its #OpenGov initiative. The primary aim of OpenGov, as understood from Polkadot’s mechanisms and as indicated by @gavofyork, was to decentralize Polkadot’s governance and make the Treasury more transparent and efficient. However, the most debated issue currently is the treasury management under OpenGov. This has impacted long-term contributors and organizations, with many facing rejection from the treasury, leading them to depart from the Polkadot ecosystem.
In the past, Polkadot’s governance system had a “professional” council elected by DOT holders, who utilized their expertise to assess proposals. PolkaWorld suggests that this approach should be incorporated into the OpenGov system, emphasizing that “decentralization only works for the ‘informed’.”
Furthermore, PolkaWorld has interviewed DOT holders who expressed concerns about applicants converting treasury funds into cash, which they believe adversely affects them. As a result, they often vote against such proposals. This has led to suggestions that the treasury might consider alternative funding methods, such as using tokens like #USDT.
Markian Ivanichok, in a series of tweets dated 15th September, highlighted the challenges faced by developers and teams in the Polkadot ecosystem. He mentioned that despite having an approved development contract and delivering the work, the payment was denied without any explanation. This was in reference to the OpenBrush project, a base ink! library. The link provided led to a detailed account of the milestones achieved for the project on kusama.polkassembly.io. Ivanichok expressed his disappointment with the governance system of Polkadot, stating, “Governance is one of the brightest features that Polkadot is so proud about. This is the outcome. The smart/social contract not being honored. Governance drastically failed.”
He further announced the decision of the @Brushfam_io team to leave the Polkadot ecosystem, citing a lack of appreciation for their work and challenges in the ecosystem that doesn’t prioritize users, business practices, or marketing. However, he later updated that the OpenBrush repository on GitHub was made available again for all financed milestones, apologizing for the initial oversight.
The decision to temporarily remove the OpenBrush repository from GitHub drew criticism from the community. A user, @wl_null, commented on the move, stating that many teams supported and utilized the openbrush library and that removing it was detrimental to the developer community.
In conclusion, the recent changes in Polkadot’s governance system have stirred debates and concerns among its community members. The challenges faced by contributors and the subsequent decisions they make will shape the future of the Polkadot ecosystem.
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