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AI & Enterprise

AI app companies build in-house models as push grows; what next for Dokpamo overhaul?

More AI service companies are building in-house models to cope with the cost of using advanced AI models and to compete with large model developers. Legal AI startup Harvey has developed its Tenet model based on Moonshot\'s low-cost open-source Kimi K3. Coding AI Cursor is also accelerating its own model work and has launched its Origin code hosting platform. South Korea plans to revamp support for firms in the Dokpamo project from the third evaluation round.

AI & Enterprise

Dinotisia unveils KV cache compression technology to ease AI computing bottlenecks

AI infrastructure company Dinotisia said on Wednesday it has released a paper and source code for KV cache compression technology that stores previously read context on GPUs to avoid recalculation by large language models. The company said its STAR-KV technology, a joint effort involving UC San Diego’s VVIP Lab and Dinotisia researchers, was selected as an ICML 2026 Spotlight paper. It said tests showed up to 75 percent reduction and up to 20-fold compression.

Crypto

Anthropic\'s \'Mythos\' shifts DeFi security strategy toward continuous audits, real-time response

Anthropic\'s new AI model \'Mythos\' is changing security priorities in the cryptocurrency industry, with attention moving beyond smart contract audits to wider infrastructure. The model is noted for linking minor weaknesses across systems into attack paths. The shift is expanding checks to key management, signing services, bridges, oracle networks and cryptography layers. The industry is also moving from pre-launch audits and post-launch monitoring to continuous audits, real-time simulation and breach-assumed design.