Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effective for unstructured semantic search.

The company formerly known as Intercom just did something that no major customer service platform has attempted at scale: it built an AI agent whose sole job is to manage another AI agent.

The company sold 30 million shares at $185 apiece, raising $5.55 billion in what Bloomberg reported as the largest U.S. tech IPO since Uber went public in 2019. The final pricing shattered expectations: Cerebras initially marketed shares at $115 to $125, then raised the range to $150 to $160 as investor demand surged, before ultimately pricing above even that elevated band.

Here is a scenario that should concern every enterprise architect shipping autonomous AI systems right now: An observability agent is running in production. Its job is to detect infrastructure anomalies and trigger the appropriate response. Late one night, it flags an elevated anomaly score across a production cluster, 0.87, above its defined threshold of 0.75. The agent is within its permission boundaries. It has access to the rollback service. So it uses it.

A little-known Miami-based startup called Subquadratic emerged from stealth on Tuesday with a sweeping claim: that it has built the first large language model to fully escape the mathematical constraint that has defined — and limited — every major AI system since 2017.

For decades, the IQ test has been one of the most familiar — and most contested — yardsticks for human intelligence. Now, a startup project called AI IQ is applying the same metaphor to artificial intelligence, assigning estimated intelligence quotients to more than 50 of the world's most powerful language models and plotting them on a standard bell curve.

For the first time since the AI race began, more American businesses are paying for Anthropic's Claude than for OpenAI's ChatGPT.

The company formerly known as Intercom just did something that no major customer service platform has attempted at scale: it built an AI agent whose sole job is to manage another AI agent.

The company sold 30 million shares at $185 apiece, raising $5.55 billion in what Bloomberg reported as the largest U.S. tech IPO since Uber went public in 2019. The final pricing shattered expectations: Cerebras initially marketed shares at $115 to $125, then raised the range to $150 to $160 as investor demand surged, before ultimately pricing above even that elevated band.

For decades, the IQ test has been one of the most familiar — and most contested — yardsticks for human intelligence. Now, a startup project called AI IQ is applying the same metaphor to artificial intelligence, assigning estimated intelligence quotients to more than 50 of the world's most powerful language models and plotting them on a standard bell curve.