AI News

Inside Anthropic’s existential negotiations with the Pentagon

Anthropic’s weekslong battle with the Department of Defense has played out over social media posts, admonishing public statements, and direct quotes from unnamed Pentagon officials to the news media. But the future of the $380 billion AI startup comes down to just three words: “any lawful use.” The new terms, which OpenAI and xAI have […]

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This Chainsmokers-approved AI music producer is joining Google

ProducerAI, an AI-powered music-making platform, is joining Google. As part of the deal, Google will fold ProducerAI under the Labs umbrella and power the tool with a preview version of its new Lyria 3 music-making AI model. ProducerAI is a music-making platform that allows users to work with an AI agent to generate sounds, workshop […]

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How Claude Code Claude Codes

Claude Code is a developer tool for developers. And yet, over the last year and especially the last few months, the team at Anthropic has seen a huge number of people, across industries and disciplines, figure out how to access their terminal so that they could build new stuff too. Few AI products have found […]

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COBOL modernisation just got an AI shortcut–and the market noticed

It’s an open secret (that is, not many people seem to know) that the institutions keeping the global financial system turnig over run code that is ancient, barely understood, and frighteningly hard to replace. Now, AI is finally making that problem solvable – and the market has responded with a reality check for one of […]

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How to Build a Production-Grade Customer Support Automation Pipeline with Griptape Using Deterministic Tools and Agentic Reasoning

In this tutorial, we build an advanced Griptape-based customer support automation system that combines deterministic tooling with agentic reasoning to process real-world support tickets end-to-end. We design custom tools to sanitize sensitive information, categorize issues, assign priorities with clear SLA targets, and generate structured escalation payloads, all before involving the language model. We then use […]

The post How to Build a Production-Grade Customer Support Automation Pipeline with Griptape Using Deterministic Tools and Agentic Reasoning appeared first on MarkTechPost.

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Beyond Simple API Requests: How OpenAI’s WebSocket Mode Changes the Game for Low Latency Voice Powered AI Experiences

In the world of Generative AI, latency is the ultimate killer of immersion. Until recently, building a voice-enabled AI agent felt like assembling a Rube Goldberg machine: you’d pipe audio to a Speech-to-Text (STT) model, send the transcript to a Large Language Model (LLM), and finally shuttle text to a Text-to-Speech (TTS) engine. Each hop […]

The post Beyond Simple API Requests: How OpenAI’s WebSocket Mode Changes the Game for Low Latency Voice Powered AI Experiences appeared first on MarkTechPost.

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Composio Open Sources Agent Orchestrator to Help AI Developers Build Scalable Multi-Agent Workflows Beyond the Traditional ReAct Loops

For the past year, AI devs have relied on the ReAct (Reasoning + Acting) pattern—a simple loop where an LLM thinks, picks a tool, and executes. But as any software engineer who has tried to move these agents into production knows, simple loops are brittle. They hallucinate, they lose track of complex goals, and they […]

The post Composio Open Sources Agent Orchestrator to Help AI Developers Build Scalable Multi-Agent Workflows Beyond the Traditional ReAct Loops appeared first on MarkTechPost.

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RAG vs. Context Stuffing: Why selective retrieval is more efficient and reliable than dumping all data into the prompt

Large context windows have dramatically increased how much information modern language models can process in a single prompt. With models capable of handling hundreds of thousands—or even millions—of tokens, it’s easy to assume that Retrieval-Augmented Generation (RAG) is no longer necessary. If you can fit an entire codebase or documentation library into the context window, […]

The post RAG vs. Context Stuffing: Why selective retrieval is more efficient and reliable than dumping all data into the prompt appeared first on MarkTechPost.

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Google DeepMind Researchers Apply Semantic Evolution to Create Non Intuitive VAD-CFR and SHOR-PSRO Variants for Superior Algorithmic Convergence

In the competitive arena of Multi-Agent Reinforcement Learning (MARL), progress has long been bottlenecked by human intuition. For years, researchers have manually refined algorithms like Counterfactual Regret Minimization (CFR) and Policy Space Response Oracles (PSRO), navigating a vast combinatorial space of update rules via trial-and-error. Google DeepMind research team has now shifted this paradigm with […]

The post Google DeepMind Researchers Apply Semantic Evolution to Create Non Intuitive VAD-CFR and SHOR-PSRO Variants for Superior Algorithmic Convergence appeared first on MarkTechPost.

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