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Latest news on Artificial Intelligence (AI) in the cryptocurrency market

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Challenges Persist in Developing Artificial General Intelligence, Apple Researchers Reveal

According to Cointelegraph, the pursuit of artificial general intelligence (AGI) remains a complex challenge, as highlighted by Apple researchers who have identified significant reasoning difficulties in leading AI models. Despite recent advancements in large language models (LLMs) like OpenAI's ChatGPT and Anthropic's Claude, the fundamental capabilities and limitations of these models are not fully understood, as detailed in a June paper titled "The Illusion of Thinking." The researchers emphasize that current evaluations focus heavily on mathematical and coding benchmarks, prioritizing final answer accuracy without adequately assessing the reasoning abilities of AI models. Apple's research contrasts with the widespread belief that AGI is imminent. To explore the reasoning capabilities of AI, the researchers designed various puzzle games to test both "thinking" and "non-thinking" versions of models such as Claude Sonnet, OpenAI's o3-mini and o1, and DeepSeek-R1 and V3 chatbots. Their findings reveal that frontier large reasoning models (LRMs) experience a significant drop in accuracy when faced with complex tasks, failing to generalize reasoning effectively. This contradicts expectations for AGI, as these models struggle with exact computation, inconsistent reasoning, and an inability to apply explicit algorithms across different puzzles. The study also highlights that AI chatbots often exhibit overthinking, generating correct answers initially but then deviating into incorrect reasoning. The researchers conclude that LRMs mimic reasoning patterns without truly internalizing or generalizing them, falling short of AGI-level reasoning. These insights challenge prevailing assumptions about LRM capabilities and suggest that current approaches may be encountering fundamental barriers to achieving generalizable reasoning. AGI is considered the ultimate goal of AI development, representing a state where machines can think and reason on par with human intelligence. In January, OpenAI CEO Sam Altman expressed confidence in the company's progress toward building AGI, stating that they are closer than ever before. Similarly, Anthropic CEO Dario Amodei predicted that AGI could surpass human capabilities within the next few years, potentially by 2026 or 2027. Despite these optimistic projections, the findings from Apple researchers underscore the ongoing challenges in the race to develop AGI.
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Meta Secures Long-Term Nuclear Power Deal to Support AI and Data Center Expansion

According to Cointelegraph, Meta has entered into a significant agreement to ensure the continued operation of an Illinois nuclear power plant for the next two decades. This strategic move is aimed at powering the company's artificial intelligence and data center initiatives. The deal involves Meta purchasing 1.1 gigawatts of power from Constellation's Clinton Clean Energy Center in southern Illinois, starting in 2027. Meta emphasized the importance of nuclear power in providing reliable electricity to support its future energy needs, particularly as it advances its AI capabilities.Meta, like other major technology companies, is heavily investing in artificial intelligence amid growing interest in the technology. The company has integrated its AI models into its primary social media platforms, Facebook and Instagram, and plans to fully automate ad creation on these platforms by the end of 2025. The International Energy Agency highlighted in April that the energy demands of AI data centers are expected to more than double by 2030, surpassing the current electricity consumption of Japan. Meta's agreement with Constellation ensures that a critical power plant remains operational, meeting increasing energy demands while adding 30 megawatts of additional capacity to the grid.The partnership with Constellation is also set to preserve over 1,100 jobs and contribute $13.5 million annually in tax revenue, without relying on the state's Zero Emission Credit program. This means the plant will continue operations without additional financial support from ratepayers. Several Illinois lawmakers, including Republican Regan Deering, have expressed approval of the deal, viewing it as a forward-thinking investment that will bolster the local economy.The Clinton nuclear facility, which was nearly closed in 2017 due to financial losses, was saved by the Illinois Future Energy Jobs Act. This legislation established the Zero Emission Credit program to support the plant until mid-2027. The new agreement with Meta allows the Clinton plant to operate independently of taxpayer support. A March analysis by the Brattle Group indicated that closing the Clinton facility would increase emissions by over 34 million metric tons of carbon over 20 years, equivalent to adding approximately 7.4 million gasoline-powered cars to the road for a year. Additionally, Illinois' GDP would potentially decrease by $765 million annually if the plant were to shut down.Meta is also progressing with requests for proposals to identify other nuclear energy operators to help achieve its AI innovation and sustainability objectives. The company is in final discussions with a shortlist of potential projects to meet its 1-4 gigawatt target, following the announcement of this initiative last December.
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Grayscale Introduces AI Crypto Sector as New Classification Standard

According to PANews, Grayscale has established an 'AI Crypto Sector' as the sixth major cryptocurrency classification standard, comprising 20 tokens with a total market value of $21 billion, marking a 366% increase from the first quarter of 2023. This sector is divided into three subcategories: AI platforms, AI tools and resources, and AI applications and agents. AI platforms include leading market players like Bittensor and Near, which provide decentralized AI development infrastructure. AI tools and resources feature projects such as Grass, focused on data collection, and Akash, which operates a computing power marketplace. AI applications and agents encompass initiatives like Virtuals, offering autonomous AI agents, and Worldcoin, which specializes in human identity verification. The report highlights that the AI crypto sector currently represents only 0.67% of the total cryptocurrency market value, yet it holds significant potential. Bittensor is set to undergo its first token halving this year, and since its subnet ecosystem upgrade in February, its staking volume has surpassed 7% of the circulating supply. Projects like Grass have achieved annualized revenues in the tens of millions of dollars, indicating progress in commercialization. Grayscale is actively investing in this field through products like the Bittensor Trust, believing that blockchain technology can address governance risks associated with centralized AI development. As stablecoin legislation advances, the payment infrastructure for crypto-native AI agents is expected to improve rapidly.
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