The LGTM (Page 76)

The LGTM

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Tokenometer Treats Prompt Cost Like a CI Regression, Which Is Where Agent Economics Has to Go

Tokenometer Treats Prompt Cost Like a CI Regression, Which Is Where Agent Economics Has to Go

Tokenometer is not the flashiest AI-model story of the day, which is exactly why it is worth covering. The industry has spent two years treating token spend like a mysterious utility bill: prompts change, agents loop, retrieved context grows, vision inputs sneak into workflows, and then someone in finance asks

DeepSWE Is the Coding-Agent Benchmark That Makes Leaderboards Look Less Comfortable

The useful thing about DeepSWE is not that it gives GPT-5.5 another trophy. Trophies are cheap now. The useful thing is that it makes the coding-agent leaderboard conversation less comfortable by attacking the part everyone quietly depends on: whether the benchmark judge knows software engineering when it sees it.

TensorRT-LLM’s May 26 RC Shows Multimodal Inference Is Now a Systems Problem

TensorRT-LLM’s May 26 RC Shows Multimodal Inference Is Now a Systems Problem

TensorRT-LLM v1.3.0rc16 is the kind of release that will not trend on Hacker News and will absolutely decide whether someone’s production inference stack has a good week. There is no single benchmark chart here, no “10x” headline, no clean product narrative. Instead, NVIDIA shipped a release candidate

Google’s Agent Executor Is Kubernetes Thinking Applied to Agents: Event Logs, Resumption, and Runtime Sovereignty

Google’s Agent Executor Is Kubernetes Thinking Applied to Agents: Event Logs, Resumption, and Runtime Sovereignty

Google’s Agent Executor is not interesting because the world needed another agent framework logo. It is interesting because it says the quiet part out loud: long-running agents are distributed systems now. Once an agent can wait for approval, call tools, spawn workers, recover from disconnects, branch from checkpoints, and