Intent-based chaos testing is designed for when AI behaves confidently — and wrongly
Here is a scenario that should concern every enterprise architect shipping autonomous AI systems right now: An observability agent is...
Here is a scenario that should concern every enterprise architect shipping autonomous AI systems right now: An observability agent is...
Voice agents have been expensive to run and painful to orchestrate, not because the models can't handle conversation, but because...
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Dario Amodei is not the kind of CEO who talks loosely about numbers. The Anthropic co-founder and chief executive, a...
Anthropic on Tuesday unveiled a suite of updates to its Claude Managed Agents platform at its second annual Code with...
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Evaluating AI models trained on brain signals has long been a messy, inconsistent topic. Different research groups use different preprocessing...
There's an app for nearly every imaginable user and use case these days, but one thing they all have in...
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In a world where a viral TikTok video can cause a brand to trend globally in mere hours, the traditional...
Large language models are getting incredibly powerful, but let’s be honest—their inference speed is still a massive headache for anyone...
OpenAI on Monday began emailing more than 8,000 developers who applied for its invite-only GPT-5.5 party with a surprise consolation...
Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue...
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Web search and content retrieval have quietly become the most critical infrastructure decisions in AI agent development. An agent without...
Anthropic created the Model Context Protocol as the open standard for AI agent-to-tool communication. OpenAI adopted it in March 2025....
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A token is often described as representing around three-quarters of a word. Thus, giving an LLM a text of 10,000...
The fundamental tension in conversational AI has always been a binary choice: respond fast or respond smart. Real-time speech-to-speech (S2S)...
Enterprise AI teams are hitting a wall — not because their models can't reason, but because the workflows underneath them...