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• India is using wonder kid to its own advantage

  Central ministries are scaling algorithm-driven initiatives across public administration, supported by digital infrastructure like Aadhaar and a dedicated national funding program. This rapid automation seeks to modernize public services and optimize decision-making across crucial sectors. However, the expanding reliance on administrative models raises pressing concerns regarding citizen recourse, systemic accountability, and independent oversight.

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• India isn't out of the AI race as private equity investors see promise

  A surge in venture capital is positioning the nation sixth globally for artificial intelligence funding, counterbalancing the current absence of listed pure-play computing and language model firms. Goldman Sachs projects that anticipated stock market debuts over the next two to five years could inject up to $100 billion into public equities. This capital influx is primarily targeting foundational infrastructure rather than consumer-facing software.

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• Bernstein – open-source governance layer for AI agents

  The framework orchestrates tools like Claude Code, Codex, and Gemini CLI across parallel git worktrees to enforce policy as code through a four-stage process. By relying on a model-free deterministic Python scheduler, it guarantees that operational plans replay byte-identically while generating verifiable compliance records. This architecture enables engineering teams to automate multi-agent workflows locally without transmitting internal execution data off the host machine.

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