OpenAI Researchers Train Weight Sparse Transformers to Expose Interpretable Circuits

If neural networks are now making decisions everywhere from code editors to safety systems, how can we actually see the specific circuits inside that drive each behavior? OpenAI has introduced a new mechanistic interpretability research study that trains language models to use sparse internal wiring, so that model behavior can be explained using small, explicit…

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Pine Labs gets warm market welcome on $440M India IPO despite a valuation trim

Payment technology company Pine Labs, backed by PayPal and Mastercard, won over public investors on Friday, finishing its first day of trading 14% higher even after lowering its valuation for its $440 million IPO. This makes it the second-largest Indian fintech listing this year after online brokerage Groww’s nearly $750 million debut earlier this week….

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Comparing the Top 6 Agent-Native Rails for the Agentic Internet: MCP, A2A, AP2, ACP, x402, and Kite

As AI agents move from single-app copilots to autonomous systems that browse, transact, and coordinate with each other, a new infrastructure layer is emerging underneath them. This article compares six key “agent-native rails” — MCP, A2A, AP2, ACP, x402, and Kite — focusing on how they standardize tool access, inter-agent communication, payment authorization, and settlement,…

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How to Design an Advanced Multi-Agent Reasoning System with spaCy Featuring Planning, Reflection, Memory, and Knowledge Graphs

In this tutorial, we build an advanced Agentic AI system using spaCy, designed to allow multiple intelligent agents to reason, collaborate, reflect, and learn from experience. We work through the entire pipeline step by step, observing how each agent processes tasks using planning, memory, communication, and semantic reasoning. By the end, we see how the…

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