Latest in AI
Every brief, newest first. Each one links to its primary source.
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RAG Explained: Giving AI Access to Knowledge It Was Never Trained On
Retrieval-augmented generation looks up relevant information and hands it to the model at question time. Large context windows were supposed to kill it. They…
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AI Agents Explained: What They Are and What They Can Actually Do
An agent is a model given tools and a goal, running in a loop until the job is done. The honest picture of where…
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Tokens and Embeddings: How Machines Represent Meaning
Models do not read words or understand meaning directly. They read tokens and operate on vectors. This distinction explains a whole class of otherwise…
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Context Windows Explained: Why AI Forgets, and What Changed
A context window is the model’s entire working memory. Understanding its limits explains most practical AI failures, and why a bigger window is not…
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Transformers Explained: The Architecture Behind Modern AI
Attention lets a model weigh every word against every other word at once. That one idea is why modern AI scaled when earlier architectures…
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What Is a Large Language Model? How LLMs Actually Work
A large language model learns to predict the next piece of text. That single mechanism explains both what these systems can do and how…
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Open-weight models close the reasoning gap
A new open-weight release matches closed-model performance on multi-step reasoning benchmarks, narrowing a gap that had been widening for two years.
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Agents move from demos to workflows
Enterprise deployments of AI agents are shifting from pilots to production, concentrated in narrow, well-instrumented tasks rather than general assistance.
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Inference prices fall, but only on batch
Batch inference pricing dropped across three major providers this month. Real-time rates held steady, widening the spread between the two.
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EU AI Act transparency obligations take effect
Transparency requirements for general-purpose AI systems are now in force for providers placing models on the EU market.