Santiment Unveils Top 10 Cryptocurrencies Blazing the Trail in the Crypto Sector

Santiment, a leading market intelligence platform, has unveiled the top 10 cryptocurrencies blazing the trail in the crypto sector.

Market intelligence platform Santiment has unveiled the top 10 cryptocurrencies leading the development activity surge in the crypto space. Over the last 30 days, Santiment has been tracking these projects’ development activity rates, a metric reflecting the commitment of project teams and the community's engagement. 

The analysis reveals a remarkable increase in activity among cryptocurrencies dedicated to AI and Big Data applications, signaling their potential to redefine the industry landscape.

Oasis Protocol Tops the List 

At the forefront is Oasis Protocol (ROSE), which distinguishes itself by focusing on creating a privacy-enabled blockchain platform that supports decentralized applications (dApps) and open finance (DeFi) protocols. Hot on its heels is NEAR Protocol (NEAR), designed to bridge the gap between traditional and decentralized applications. 

Its developer-friendly blockchain offers optimal performance and a seamless user experience. Graph Protocol (GRT) secures the third position, thanks to its protocol for indexing and querying data from blockchains.

Bittensor (TAO) follows next as a promising project that aims to establish a decentralized network where participants can share and monetize AI models. Golem (GLM) introduces a marketplace for computing power, facilitating the decentralized renting of computational resources. 

Ocean Protocol (OCEAN) steps in with its focus on unlocking data sharing and monetization, ensuring control, transparency, and compliance for all parties involved. Oraichain (ORAI) boasts an AI-powered ecosystem for blockchains and applications, providing reliable data feeds for decentralized networks. 

iExec (RLC) establishes a decentralized marketplace for cloud resources, catering to the growing demand for computing power in AI applications. SingularityNET (AGIX) and Streamr (DATA) complete the lineup, each offering unique solutions to drive adoption and innovation in the crypto space. 

SingularityNET aims to establish a decentralized marketplace for AI services, fostering collaboration and accessibility in the AI industry. Streamr, on the other hand, provides a seamless interface for real-time data delivery and payment, empowering users to trade data streams using the DATAcoin token.

Vitalik Buterin Sounds the Alarm on Super-intelligent AI 

In related news, Ethereum co-founder Vitalik Buterin has expressed concerns about the risks associated with super-intelligent artificial intelligence (AI), following recent leadership upheavals at OpenAI. His remarks come as Jan Leike, OpenAI's former head of alignment, has resigned over disparities in the company's priorities. 

Leike cited the company's shift from safety protocols towards focusing on advanced AI development, particularly artificial general intelligence (AGI), as the main reason for his departure. AGI, which aims to match or exceed human cognitive abilities, has sparked apprehension among experts regarding the lack of preparedness to manage such systems safely.

Hence, Buterin's remarks highlighted the need for caution and decentralization in AI advancement, advocating for open models running on consumer hardware. He believes such models will serve as a safeguard against a future where a few conglomerates control access to and mediate human thought.

Calls for Decentralized AI Grow 

The Ethereum expert's statements align with growing sentiment within the tech community, reflecting a broader push for democratized and decentralized AI development. Groups like 6079 advocate for such measures to prevent big corporations from dominating AI, mirroring concerns raised by the UK government regarding Big Tech's increasing influence in the AI sector.

Last week's departure of Ilya Sutskever, OpenAI's co-founder and chief scientist, further adds to the uncertainty surrounding the organization's trajectory. Buterin's cautionary stance follows his assertion that OpenAI's GPT-4 model had passed the Turing test, indicating a level of human-like conversational ability. 

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