Artificiallnteligence

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As trust in legacy AI labeling firms begins to fracture, Uber is stepping into the gap with a rebranded and expanded AI services arm.
Uber is moving deeper into the AI services space, expanding its data labeling business just as some AI firms have begun to distance themselves from Scale AI following Meta’s $14.8 billion investment in the company.
On June 20, Uber announced a major expansion of its AI data services unit, now branded as Uber AI Solutions. The company said it will offer its internal technology platforms to AI labs and enterprises looking to build and test large-scale models.
This includes access to ready-made datasets, clickworker task networks, and tools for training AI agents.
The move comes at a time when the AI labeling market is under pressure. Meta’s 49% stake in Scale AI has reportedly unsettled former partners like OpenAI and Google.
Uber Eyes Enterprise AI Market With Global Data Workforce and New Tools
Megha Yethadka, general manager of Uber AI Solutions, said the expansion builds on the company’s decade-long experience handling massive data operations.
“We’re bringing together Uber’s platform, people, and AI systems to help other organizations build smarter AI more quickly,” she told Forbes.
Uber AI Solutions first launched in November 2023 under the name Uber Scaled Solutions. It began by offering data annotation tools to train models for clients. The rebrand reflects the company’s broader focus on AI.

Now active in more than 30 countries, Uber’s platform connects companies with a global pool of contractors. These clickworkers handle tasks like translation, coding, editing, and dataset labeling.
According to Yethadka, there are “tens of thousands” of workers in the network, including subject matter experts across STEM, law, and finance. The top taskers spend around three to four hours daily on the platform, with pay ranging from $20 to $200 per hour, depending on the complexity of the assignment.

“We do see an opportunity to build this into a meaningful business line for Uber,” said Yethadka.
The company is also developing a user-facing software interface to simplify project setup.
Clients will be able to describe their data needs in plain language, with the system automatically assigning tasks, setting workflows, and overseeing quality control.
Among the tools now available are services for creating datasets involving video, audio, images, and text. Uber is also offering companies access to the same back-end infrastructure it uses to manage its own AI training efforts.
Clients already working with Uber AI Solutions include autonomous vehicle firm Aurora and Niantic, the maker of Pokémon Go, which recently shifted away from gaming to focus on enterprise AI.
The company did not disclose its total clickworker count, but said the workforce has doubled since the start of the year.
With Meta’s partnership reshaping Scale’s client dynamics, Uber’s move comes at a moment of opportunity. Whether it becomes the next major destination for AI data services is still unclear.
Uber Bets Big on Data Labeling as Meta-Scale Shakeup Sends Industry Scrambling
Uber’s entry into the AI data labeling market couldn’t come at a more turbulent time.
Meta’s $14.8 billion deal with Scale AI has sent shockwaves through the industry, with Scale CEO Alex Wang now joining Meta to lead its new Superintelligence Lab, directly challenging OpenAI, Google DeepMind, and Anthropic.
The move has prompted clients to rethink their partnerships, with some, like OpenAI, already cutting ties with Scale, according to Bloomberg.
As a result, the field is wide open. Smaller players like Mercor, Turing, and Invisible Technologies are racing to fill the vacuum, but Uber brings unique advantages such as scale and capital.
Unlike VC-dependent startups, Uber already has a massive global contractor network, logistics infrastructure, and experience managing gig work, traits it now hopes to apply to high-skill data annotation.
“More companies want neutral, independent vendors,” said Uber’s head of new AI initiatives, Yethadka.
That neutrality, paired with Uber’s commitment to data privacy, may give it a shot at winning over companies spooked by Scale’s tighter integration with Meta.
Still, competition will come down to talent. “Data labeling is trending toward more complex, skilled tasks,” said Mercor CEO Brendan Foody. Uber’s success will depend on whether it can build and maintain a reliable network of high-skill clickworkers.
With Big Tech expected to spend over $300 billion on AI in 2025, Uber’s shift into this space is a strategic move and a sign that the battle for AI dominance is expanding far beyond just algorithms.

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🎉 Rena Labs has just secured $3.30M in its latest funding round! 🎉
🔹About: Rena Labs is a pioneering startup focused on developing trustless on-chain AI solutions. Their flagship product, TrustEE, is a Trusted Execution Environment (TEE) abstraction middleware designed to ensure the privacy, security, and scalability of AI applications. Rena Labs aims to create a future where AI systems are verifiable, autonomous, and user-owned. Their applications span various domains, including market-making integrity dashboards, private order execution for decentralized exchanges (DEXs), fully autonomous AI agents for on-chain gaming, and private data sales in decentralized physical infrastructure networks (DePIN). The company is led by a core team of experts from prestigious institutions like Princeton and MIT. Rena Labs' mission is to make secure AI deployment accessible to both developers and retail users with just a few clicks. Their innovative approach combines AI with blockchain technology to deliver impactful and scalable solutions. This recent funding will help them accelerate development and expand their team.🚀🌐
🔹 Lead Investors: Mapleblock Capital, Paper Ventures, Faction, Lyrik Ventures, Selini Capital and many more.
🔹 Total Raised: $3.30M.
🔹 Project Category: Blockchain Infrastructure, AI.
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The rise of #Artificiallnteligence technologies #BinanceAlphaAlert has transformed many #MarketPullback areas $USUAL around the world $PEPE in recent years,#MarketCorrectionBuyOrHODL? from business $XRP models to daily life. #USUALTradingOpen However, these advances have mostly taken place under the control of central structures. The dominance of large companies in this field has raised important questions in terms of the accessibility and democratization of artificial intelligence. Autonomys Network stands out as an innovative project that supports decentralized artificial intelligence as a solution to these problems and realizes this vision. Built on the Subspace Protocol, this network offers a modular architecture that meets the requirements of AI3.0. In this article, I wanted to tell you about the basic components of Autonomys Network, its advantages and its potential in a decentralized artificial intelligence ecosystem.

Discrete Execution and Distributed Storage Networking: The New Standard in Efficiency
Autonomys Network has a modular structure and is supported by innovative features such as Discrete Execution (DecEx) and Distributed Storage Network (DSN). Discrete Execution improves the efficiency of the network by separating transaction execution from the consensus mechanism. This feature reduces hardware requirements while increasing throughput. This means that even less powerful devices can join this network and contribute to its growth.

On the other hand, DSN enables off-chain storage and retrieval of data. While storing data in traditional blockchain systems poses a major obstacle to the scalability of the network, Autonomys Network's multi-layer DSN system overcomes this problem. Data is stored and distributed among different nodes and becomes easily accessible to users when necessary. This approach provides a vital infrastructure for AI models working with large data sets.

Auto-Identity: Trust in Human and AI Interactions
The proliferation of artificial intelligence technologies is creating a world where people and machines interact more frequently. It is a critical requirement for decentralized structures that these interactions are secure and verifiable. Autonomys Network's Auto ID system is designed to meet this requirement.

Auto-Identity allows users to manage their digital identities in a secure and privacy-focused way. Identity verification can be done without the need to disclose personal information. This system can be used not only for individuals but also for AI agents. Thus, AI agents can be authorized to perform specific tasks and can perform these tasks safely.

In this context, the Proof of Personality (PoP) mechanism also attracts attention. PoP protects the confidentiality of personal information while authenticating human users. For example, a user's social media accounts or official documents may be verified, but this information is not shared with other parties. Thus, interactions between humans and artificial intelligence occur safely and transparently .

AI3 Token and Participation Ecosystem
The growth and sustainability of decentralized networks depends on community participation. Autonomys Network uses its native token, AI3, to incentivize this participation. The AI3 token both supports the economic model of the network and creates an incentive mechanism for users.

Developed to facilitate participation in the Autonomys Network, Space Acres allows users to earn AI3 tokens by running nodes. This application, which has a user-friendly interface, makes it possible for anyone to connect their computer to the network and allocate unused storage space to Autonomys Network. This approach appeals to users of all levels, not just experts, and enables the decentralized artificial intelligence ecosystem to grow faster.

Solving the Farmer's Dilemma
A problem often encountered in blockchain systems is called the Farmer's Dilemma. This problem arises because farmers (participants) have to decide whether to use their storage resources for the security of the network or to increase their profits. Autonomys Network uses the Proof of Archival Storage (PoAS) mechanism to solve this problem.

PoAS ensures that farmers use only minimal resources to store blockchain history. This provides a more efficient structure without compromising security and reducing unnecessary storage load. Thanks to this mechanism, the decentralized structure of the network is preserved and participants are enabled to maximize their rewards.

Decentralized AI and Human Centricity
Autonomys Network's vision is to make this technology more democratic by creating a decentralized artificial intelligence ecosystem. The main goal of AI3.0 is for individuals to be able to customize, train, and operate their own artificial intelligence agents on their behalf. Unlike the AI1.0 and AI2.0 eras, which were controlled by centralized structures, AI3.0 represents a people-centered and collaborative approach.

Autonomys Network provides a scalable, secure and user-friendly infrastructure to realize this vision. The flexibility offered by the Subspace Protocol makes this network not only a technically powerful platform, but also easy to integrate into people's daily lives.
Autonomys Network is a project that shapes the future of artificial intelligence and stands out with the principles of decentralization and human-centeredness. Innovative features such as Discrete Execution, Distributed Storage Network, Auto-Identity and AI3 token enable this network to form a strong foundation for the AI ​​ecosystem.This project appeals not only to technology experts, but also to individuals who want artificial intelligence to be made accessible to everyone in a more democratic way. Autonomys Network is leading a transformational change by making the future of artificial intelligence more open, collaborative and aligned with human values.

🎉 Flock has just secured $3.00M in its latest funding round! 🎉
🔹About: Flock aims to democratize AI development through decentralization. Leveraging blockchain technology, Flock enables diverse communities to create and fine-tune AI models without centralized control. The project comprises three main components: AI Arena, FL Alliance, and AI Marketplace. In AI Arena, developers compete to build the best AI models using common datasets. FL Alliance allows developers to collaborate and improve these models with proprietary data. Finally, the AI Marketplace showcases these models for community use. Flock's tokenomics incentivize participation and ensure security in a permissionless manner. By promoting open-source development and data ownership, Flock fosters transparency, collaboration, and innovation in AI development.🚀🌐
🔹 Lead Investors: Animoca Brands, OKX Ventures, GSR, Faction, Fenbushi, Volt Capital and many more.
🔹 Total Raised: $9.00M.
🔹 Project Category: Artificial Intelligence.
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#Artificiallnteligence
AI cryptocurrencies are digital currencies that utilize artificial intelligence technologies in their development and operation. There are many digital currencies that use artificial intelligence, including:

# Examples of AI Cryptocurrencies
1. *SingularityNET (AGIX)*: This is a digital currency that uses artificial intelligence to create a decentralized network for artificial intelligence.

🎉 Nodepay has just secured $7.00M in its latest funding round! 🎉
🔹About: Nodepay is a decentralized network infrastructure designed to monetize unused internet bandwidth. By connecting to the Nodepay Network, users can sell their unused internet to AI companies, enabling efficient data transfer, labeling, model sharing, and remote distributed training. Nodepay focuses on privacy and data security, allowing users to maintain control over their bandwidth usage. The project recently raised $7 million in funding on December 27, 2024, with contributions from notable investors like IDG Capital, Mythos Ventures, and Matthew Tan (Etherscan founder). Nodepay aims to support AI training and data transfer while providing a new income stream for individuals. With its innovative approach, Nodepay is set to revolutionize the way unused bandwidth is utilized and monetized.🚀🌐
🔹 Lead Investors: Animoca Brands, Jump Crypto, IBC Ventures, IDG Capital, Optic Capital and many more.
🔹 Total Raised: $7.00M.
🔹 Project Category: Artificial Intelligence.
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Quantum computing is steadily advancing, with recent breakthroughs indicating that this transformative technology is on the cusp of real-world applications. Here’s a look at some of the latest developments that are shaping the future of quantum computing:
Google's Progress in Error Correction: Google’s new Willow quantum processor has made significant strides in error correction, a key challenge in quantum computing. This advancement improves the reliability of quantum systems, which is critical for making them scalable and practical for everyday use. Record-Breaking Speed: The Willow chip demonstrated its unparalleled speed by completing a benchmark computation in under five minutes, a task that would take the world’s fastest supercomputers billions of years. This performance highlights the immense power quantum computing can offer in solving extremely complex problems. World's First Fault-Tolerant Quantum Computer: A quantum computer with fault-tolerant error correction has been developed, marking the first time that logical qubits have been tested effectively in a functioning quantum system. This innovation is crucial for scaling quantum computers for use in real-world applications, such as artificial intelligence and cryptography. Advances in Logical Qubits: Logical qubits have been successfully tested in various configurations, leading to reduced error rates and paving the way for larger, more reliable quantum computers. This breakthrough is one of the most important steps toward creating practical quantum systems capable of outperforming classical computers. Discover more about logical qubits here.Rising Investment and Confidence: Following these breakthroughs, there has been a noticeable increase in market confidence in quantum computing, particularly in companies like Google. Alphabet’s stock surged after the announcement of these advancements, reflecting growing investor optimism about the technology’s potential.
Conclusion: A Promising Future for Quantum Computing
While challenges remain, these recent breakthroughs in quantum computing represent significant progress toward making the technology practical and scalable. The innovations in error correction, performance speed, and logical qubit integration are crucial steps toward unlocking the full potential of quantum systems. With ongoing research and investment, quantum computing is poised to revolutionize fields such as artificial intelligence, drug discovery, and climate modeling, offering a bright future for technology-driven solutions.
#quantumcomputing #Artificiallnteligence #Google's

As #Bitcoin❗ approaches the door of $94,000, the rise of #etherium , $DOGE , $BONK and $USUAL accompanies it.
While the market continues to be positive, I will share with you the important developments in October of #AutonomysNetwork , which plays important roles in shaping the future of #AI3 and #Artificiallnteligence which we are following.
Subspace Network made a number of developments in October, demonstrating its technological robustness by increasing community engagement, strengthening developer tools, and expanding its network through strategic partnerships. These achievements contribute significantly to both the company’s short-term roadmap and its long-term impact on the blockchain industry. Let’s take a brief look at these important developments

1. Taurus Testnet Launch
The launch of Taurus Testnet is a strong demonstration of Autonomys’ technical capacity and community support. Exceeding the 1.5 TiB storage target in a matter of hours clearly demonstrates the scalability of the network and the trust users have in the project. This success is proof that Autonomys’ underlying infrastructure is strong and reliable
Taurus Testnet represents a critical testing phase before the mainnet and provides a solid foundation for Mainnet Phase-1. The project is positioned as a reliable solution for decentralized storage and scalable data access. It increases the applicability of blockchain infrastructure for broader AI use cases.
2. Introduction of Auto Drive and Auto SDK
Auto Drive and Auto SDK support both the technical and commercial ecosystem by providing a user-friendly interface and powerful tools for developers. These products are likely to enable broader developer and user adoption of Autonomys Network.
Providing storage loading and management tools to developers enables the creation of a broader dApp ecosystem and contributes to the AI3.0 vision. User-friendly products can accelerate the adoption of decentralized infrastructure by more projects, thus increasing the potential for blockchain and AI integration.
3. Strategic Partnerships with Swan Chain, Masa, and Compute Labs:
These partnerships provide important steps to provide decentralized AI infrastructure, high-quality training data, and GPU computing resources. Targeting the intersection of AI and blockchain ecosystems, these partnerships strengthen Autonomys’ hand in competition with other projects.
The partnerships provide the resources needed for the AI3.0 ecosystem and accelerate Autonomys’ innovation pace. Such alliances that support high-performance AI training and computing solutions can strengthen blockchain’s position in the AI sector and accelerate its adoption in these areas.
Conclusion:
October was a transformational month for Subspace Network, filled with significant milestones for the future of Decentralized AI powered by AI3. There were many developments such as Testnet success, Mainnet preparations, product innovations, and strong partnerships. These developments have strongly demonstrated the potential of the network and community support. There is no doubt that the team and community will achieve even greater things in the future.

When AI Takes Over Jobs, Where Will People Get Money? 💡
As artificial intelligence continues to advance, it’s becoming clear that many jobs may be automated, leading to widespread unemployment. But where will people get money? 🤔
The answer might just lie in the cryptocurrency market.
Here's why:
5% of the World’s Wealth: The future could see the world’s economy controlled by just a small percentage of people—around 5%. This elite group will control the majority of wealth, and their investments will be largely focused on assets like cryptocurrencies.Opportunities for the Common Man: While this concentration of wealth may seem intimidating, the crypto market presents a unique opportunity. Regular individuals can trade with smaller amounts and, through knowledge and skill, grow their wealth. 💸Wealth Transfer: The money that circulates in the crypto market will often come from this 5% of the world’s richest individuals. The common man can use smart trading strategies to tap into this market and potentially earn from it.
The crypto market could provide a way for everyday people to carve out a financial future, even as AI takes over traditional jobs. With knowledge and discipline, anyone can participate in this evolving market.

BTC Current Price: $100,643.90 (+2.71%) 📊

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🎉 Hyperbolic Labs has just secured $20.00M in its funding rounds! 🎉
🔹About: Hyperbolic Labs is an innovative Web3 AI cloud startup focused on providing open access to AI computing and inference services. Hyperbolic Labs recently raised $20 million in funding, with contributions from prominent investors like Polychain Capital and Variant Fund. The project aims to create an "AI Rainforest", an ecosystem where users can access and benefit from collectively governed AI infrastructure, services, and models. Hyperbolic Labs utilizes a unique Proof of Sampling (PoSP) protocol to ensure data privacy and cost-effectiveness. The platform also plans to launch its own blockchain in 2025, further bridging the gap between Web3 and AI technologies. With a focus on affordability, scalability, and security, Hyperbolic Labs is set to revolutionize the AI and blockchain industries. 🚀🌐
🔹 Lead Investors: Polychain Capital, Balaji Srinivasan, Variant, Faction, Wintermute, Sandeep Nailwal and many more.
🔹 Total Raised: $20.00M.
🔹 Project Category: AI, Cloud Services, Web3.
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The MASA/USDT chart is presenting an exciting bullish opportunity:
🔹 Falling Wedge Breakout: A classic bullish reversal pattern, followed by a strong upward move.
🔹 Key Support Retest: After reaching new highs, the price has retraced to a critical support level, creating a potential entry point.
🔹 A series of higher lows & Higher Highs since September 2024 reflects growing buyer momentum and trend continuation potential.
🔹 Aggressive Entry: Buy at the current price level to catch early bullish momentum.
🔹 Conservative Entry: DCA down to the green support zone at $0.09–$0.105 for a safer position.
📈 Profit Targets: Clearly outlined on the chart for optimal exits. 🌟📈
🔹 Exchanges: Bybit, KuCoin, Gateio, MEXC, HTX, Uniswap.
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The effect of blockchain solutions on #Artificiallnteligence can not be overemphasized, and it is great to see how the world is changing regarding innovations. Recently, we saw that #SambaNovaSystems and #SolidusAiTech joined forces to bring groundbreaking AI capabilities to the Web 3.0 landscape. In the review, it was noted that the collaboration combines SambaNova Cloud’s unmatched AI inferencing and fine-tuning speeds with Solidus AI Tech’s eco-friendly High-Performance Computing (HPC) datacenter in Europe, creating a robust infrastructure for seamless AI operations across diverse industries, including healthcare, finance, logistics, and entertainment.

This partnership is even more remarkable as SambaNova Systems, the strategic partner of Solidus AI Tech, celebrates its ranking as 6th on Fortune’s Future50 list for 2024, recognizing its exceptional innovation and leadership in enterprise AI.
AI Marketplace Driving Innovation
The connection between AI technologies and blockchain empowers decentralized platforms to offer more intelligent, rapid, and efficient solutions. We see the case study in the AI marketplace enabling developers and businesses to fine-tune AI models, perform real-time inferencing, and access advanced AI solutions in a scalable and user-friendly environment. This was a notable experience with more details revealed at TOKEN2049 in Singapore.
Empowering Content Creators Through Social Mining
The evolution of social media usage continues as #SocialMining opportunities become one of the key elements project owners in Web3 uses to amplify their utilities to the world. With the partnership, AI Solidus AI Tech initiated a reward model for content creators for their contributions to ecosystem development and promotion. By providing financial incentives, powered by DAOLabs, it fosters creativity, innovation, and active engagement among content creators in the growing Web 3.0 space.
About SambaNova Systems
SambaNova Systems, founded in 2017 and headquartered in Palo Alto, California, is a leader in generative AI solutions for enterprises. Powered by world-class RDU technology, SambaNova delivers industry-leading AI performance through its Cloud platform, enabling developers to run large-scale models like Llama 3.1 405B with unparalleled speed and efficiency.
About Solidus AI Tech
Established in 2021 and headquartered in Dubai’s Silicon Oasis, Solidus AI Tech operates an 8,000 sq. ft. HPC datacenter in Europe and is home to the $AITECH token, which supports the AI Marketplace and AITECH Launchpad. This eco-friendly infrastructure is designed to meet the rising demand for advanced AI services.
Official Links
Solidus AI Tech Website: https://aitech.io
SambaNova Website: https://sambanova.ai

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