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CodeZero: Building an AI Agent That Learns Using Hindsight

AI assistants are becoming increasingly capable, but one major limitation remains: they often don't remember what happened before. A conversation can contain important business information, decisions, preferences, and context. Without persistent memory, that information can easily be lost. For HackwithHyderabad 3.0, we built CodeZero, an AI assistant designed to explore how persistent memory can…

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I Had to Sabotage My Own AI to Stop it From Hallucinating.

When building agentic AI systems, conventional wisdom tells us that providing clear, abstracted tooling (like MCP/JSON-RPC interfaces) is the best way to scale an agent's capabilities.

  • Engineer sabotaged AI to stop hallucinations
  • Tooling made model lazier and less reliable
  • TTC Oracles and auto-escalator restored 97.3% FPSR

SK hynix Strengthens Semiconductor Ecosystem with Partners as AI Memory Demand Expands

SK hynix is strengthening collaboration with its suppliers and technology partners as the rapid growth of artificial intelligence increases the importance of a resilient and technologically advanced…

  • SK hynix partners with suppliers for AI memory demand surge
  • 2026 Partners Day convenes partner firms for collaboration
  • Trinity Fab 2027 to enable partner testing under real manufacturing conditions

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