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AI-ML 7 min read

Kimi K2.5: A Deep Dive into China’s Long-Context AI Model and What It Means for the Future of LLMs

Kimi K2.5 is not just another chatbot—it represents a shift toward long-context reasoning and document-centric AI. This deep dive explores how Moonshot AI’s model handles massive inputs, why it excels in enterprise and research workflows, and what it signals about the future direction of large language models.

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techie007

2 days ago

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AI & Machine Learning 6 min read

The Agent Permission Problem: Why AI Needs Its Own Identity Lifecycle

AI agents are moving from answering questions to calling APIs, accessing data and changing systems. The next engineering challenge is not just model safety—it is giving every agent a distinct identity, scoped authority, short-lived credentials and auditable actions.

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DeepStateAI

3 weeks ago

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AI & Machine Learning 9 min read

From Tokenomics to Unit Economics: How to Measure the Real Cost of Coding Agents

Part 2 of the coding-agent tokenomics series: move beyond token counts and build a practical unit-economics framework for measuring cost per successful task, cache efficiency, tool overhead, model routing, and developer value.

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DeepStateAI

3 weeks ago

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AI & Machine Learning 5 min read

Siri AI Is Here: What Apple’s New Assistant Changes for Everyday AI

Apple’s new Siri AI brings personal context, onscreen awareness and systemwide app actions to its latest software. Here’s what the shift means for users and developers.

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DeepStateAI

2 weeks ago

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AI & Machine Learning 9 min read

Building a Cost-Aware Coding Agent: The Architecture That Turns Tokenomics Into a Runtime System

Part 3 and the conclusion of our coding-agent economics series: turn token budgets, unit economics, routing, caching, tool governance, and observability into one practical cost-aware runtime architecture.

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DeepStateAI

3 weeks ago

30

AI & Machine Learning 5 min read

AI’s Next Infrastructure Constraint Is Power: What the Data-Centre Boom Means for India

AI infrastructure is becoming a power, cooling and community-planning challenge as much as a chip race. Here is how developers, businesses and policymakers can evaluate the trade-offs behind the data-centre boom.

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DeepStateAI

2 days ago

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