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BlockBeats News, June 14th, according to an exchange market data, MegaETH's native token MEGA broke through $0.068, with a 24-hour percentage gain expanding to 20.13%.

BlockBeats News, June 14th, AI Driving US Inflation Surge. In May, the Consumer Price Index for Computer Software and Accessories surged by 14.5% year-on-year, marking the largest annual increase since records began in 2000. Producer prices for electronic components skyrocketed by 27%, also hitting a historical high. By contrast, prior to 2026, prices for software and electronic components had been decreasing almost every year. Currently, the price of memory alone has more than doubled in the past year, with DDR5 and DDR4 memory prices soaring by 290% year-on-year. The reason behind this surge is that AI data centers have absorbed the vast majority of global chip supply. The impact of memory prices could keep inflation elevated throughout the entire year of 2027, further compounding the existing pressures from the Iran conflict. The AI boom is fueling tech inflation.

BlockBeats News, June 14th, CoinFund founder Jake Brukhman stated that AI models naturally have centralizing attributes, making them a key target for government regulation and control. Anthropic's latest export control compliance action further confirms this trend. He pointed out that decentralized networks can be a crucial counterbalance to the current situation, building sovereign, open, and public decentralized AI. The core challenge lies in the issue of computational power. Although it is widely believed that only trillion-dollar tech companies can afford cutting-edge model training, there is actually abundant global GPU computational power available. The key is to develop new distributed training algorithms. Brukhman mentioned that teams such as Gensyn, Prime Intellect, Bagel, Pluralis, Nous Research, Macrocosmos AI, and Covenant AI have been exploring this direction. Although early on it was commonly believed to be infeasible, the reality has shown that distributed training can not only be achieved but also at a lower cost and with efficiency close to traditional solutions. Furthermore, he believes that another major challenge facing decentralized AI is economic sustainability. While open-source models are important, they lack mature business models. Pluralis, by distributing model weights to participants, is exploring the commercial path of tokenizing AI models. Brukhman stated that we are currently at a critical moment where AI will either move towards complete centralization, subject to scrutiny and unilateral government control, or establish a public AI on an open decentralized network, which will determine the industry's future direction.