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Sam Altman Proposed Paying for AI Like a Utility Service

22 Mar. 08:00

Source

OpenAI CEO Sam Altman has suggested a fundamental shift in how users pay for artificial intelligence, proposing a model similar to traditional utility billing. Speaking at the "BlackRock Infrastructure Summit" in Washington, Altman explained that users should pay based on their actual consumption of AI resources, much like how households pay for water or electricity usage.

This proposal arises as AI companies face astronomical operational costs and uncertain long-term profitability. According to recent reports, OpenAI could face losses of approximately $14 billion in 2026, with a risk of a financial crisis by mid-2027 if current spending patterns continue. The costs for infrastructure, research and development, and highly specialized staff are immense, reaching billions of dollars annually.

While ChatGPT generates nearly $13 billion in yearly revenue, the expenses associated with maintaining its complex infrastructure remain a major challenge. The industry is currently struggling with a shortage of computing power and high-quality training data. Moving to a "pay-as-you-go" system could allow OpenAI to more effectively manage its resources and stabilize its financial outlook.

Altman emphasized that the demand for AI is growing at an unprecedented rate, which could lead to price hikes or limited availability due to resource constraints. While the proposed utility-style model might be cost-effective for occasional users, it could potentially lead to higher costs for power users and businesses that rely heavily on AI for their daily operations. Nevertheless, this approach marks a significant step toward treating AI as a fundamental digital utility for the future.

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On-the-Go Power: Japanese Engineers Develop Wireless In-Road Charging for Electric Vehicles

10 Oct. 08:10

Source

In a major leap for electric mobility, Honda R&D, alongside Taisei Corporation and Taisei Rotec, has unveiled an innovative dynamic wireless charging system that charges electric vehicles as they drive. By embedding compact energy-transmitting modules directly into the road surface, the system transfers power via a magnetic field to receivers mounted underneath moving vehicles. Designed to withstand heavy commercial transport up to 20 tons, real-world road testing is scheduled to begin in Japan in April 2027.

The technology eliminates the need for full road reconstruction, as modules can be integrated directly into milled asphalt layers. Aimed at boosting charging power up to 150 kW in future iterations, this infrastructure solution promise to significantly reduce grid pressure on traditional charging stations, particularly for logistics and commercial fleets.

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