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AI & Enterprise

U.S. researchers flag five misconceptions about AI-blockchain combination

Researchers from major U.S. universities said industry debate around combining artificial intelligence and blockchain includes exaggeration and set out five common misconceptions. They said blockchain cannot detect AI-generated content by content alone, decentralisation does not remove algorithmic bias, and giving AI agents wallets does not make them autonomous economic actors. They also said recording data on a blockchain does not guarantee original data reliability, and decentralisation may not cut AI costs.

AI & Enterprise

Orbital targets 2028 first launch for space AI data centre vision

Orbital, a startup aiming to build artificial intelligence data centres in space, has raised $5 million in seed funding. The company plans to run AI inference in orbit to avoid power and siting constraints on Earth and reduce regulatory and permitting burdens. Founder Euwyn Poon says the business depends on lower launch costs, with SpaceX\'s Starship seen as key. Orbital targets a first data-processing spacecraft launch in 2028.

AI & Enterprise

Rising costs raise questions over big model-centric AI landscape

As corporate spending on AI rises rapidly, the big model-centric structure of the AI industry is showing signs of change. Developers have kept inference costs relatively low using invested funds, allowing companies to use advanced models below cost. With AI adoption spreading, more companies say costs are becoming a burden. Coinbase CEO Brian Armstrong forecast most work will shift to much cheaper models, a shift that could affect profitability at major AI firms.