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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.

Crypto

DeepSeek V4 could reshape Ethereum privacy as Vitalik Buterin mentions it directly

Ethereum founder Vitalik Buterin (비탈릭 부테린) has pointed to Chinese AI model DeepSeek V4 as a key technology for strengthening privacy on Ethereum. He said security and privacy are hard to guarantee under centralised AI structures as AI increasingly handles crypto wallets and blockchain interactions. Buterin described combining local AI models with an Ethereum access layer and zero-knowledge proofs to reduce exposure of metadata, IP addresses and wallet balances.

AI & Enterprise

DeepSeek keeps prices 75% lower with GPT-level performance; memory efficiency seen as key

China\'s AI company DeepSeek is in talks to raise about 70 billion yuan while maintaining free model releases and a low-cost API strategy, with efficiency in computing and memory seen as its core edge. Analysts cited sharply lower memory use versus rivals and optimised cache design that cuts costs and improves inference speed even on lower-performance chips. The approach is also linked to constraints on access to Nvidia\'s newest AI chips.