Watch a GPU while a large language model generates text and you’ll see something strange: for most of every forward
Continue readingSpeculative Decoding: Getting 2-3x More Out of Every GPU Pass
Every request that hits an LLM server pays the same tax before the first generated token appears: the prompt must
Continue readingvLLM Prefix Caching: The Prefill Optimization You’re Already Running
Ask an LLM for JSON and you will usually get JSON. “Usually” is the word that ruins your week. One
Continue readingConstrained Decoding: How Structured LLM Output Actually Works
The default answer to “make the agent better” is a better model. But a growing pile of evidence says that
Three model releases in ten days have made one thing clear: the frontier story of late 2026 is not bigger
Alibaba’s Qwen team just shipped Qwen3.8-Max, and it arrives at a strange moment in the AI race. We’re past the
Reinforcement Learning with Verifiable Rewards (RLVR) has become the engine behind modern reasoning models. The recipe is straightforward: let a
AI agents have gotten remarkably good at reasoning, perceiving, and acting. But ask one to remember what you told it
Continue readingMetis: The First Memory Foundation Model That Learns to Remember
The AI landscape moves fast. In the span of a few weeks, we’ve seen several notable model releases that push
Something we’ve all been predicting finally happened. Hugging Face disclosed last week that they were hit by a security intrusion