20 summarised stories about Agentic Systems, each linking back to the original source. Browse all topics →
Sakana AI ● 3 sources
Sakana AI has signed a three-year partnership with MUFG Bank, Japan's largest bank, to develop AI systems for banking operations. The agreement includes deploying AI-enabled workflows to support decision-making, with Sakana AI's co-founder serving as an AI advisor to the bank. The partnership aims to expand AI adoption across MUFG's enterprise systems and business domains over time.
Tech.eu 22 hours ago
ETH spin-off goNEON Agentic Systems raised €160,000 from Venture Kick to develop an AI platform that automatically generates infrastructure designs from engineering requirements and constraints. The platform enables engineers to generate and evaluate design scenarios in minutes instead of weeks. The funding will support pilot projects and help scale the platform's planning workflow modules for broader infrastructure applications.
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TLDRocket
21 July 2026
The open-weight model wars just got hotter and more complicated. Alibaba's decision to open-source Qwen 3.8 Max, a 2.4-trillion-parameter model, arrives as Kimi K3—Zhipu's 2.8T parameter system—has already claimed the top spot on Frontend Web App Arena with a 1326 Elo rating, outpacing even frontier models on certain benchmarks. Both moves signal that the frontier of capable AI is no longer exclusively held by closed API providers, a shift that's forcing the U.S. administration to consider layered policy restrictions on Chinese open models. Yet technical voices inside and outside government are pushing back, arguing that constraining open-weight systems paradoxically weakens security and competition rather than strengthening either. Meanwhile, the infrastructure problems keeping teams awake have matured: model routing, world modeling for agents, and long-horizon reliability are now first-class concerns, not afterthoughts. Frontier models have even begun solving mathematical problems at superhuman levels—like finding counterexamples to the 3D Jacobian conjecture—suggesting the bottleneck has shifted from raw capability to engineering deployment.
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