The LGTM (Page 25)

The LGTM

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Copilot’s Token-Efficiency Post Admits the New Bottleneck: Agent Cost Is Runtime Behavior

Copilot’s Token-Efficiency Post Admits the New Bottleneck: Agent Cost Is Runtime Behavior

GitHub’s new token-efficiency post is framed as a helpful guide to making Copilot credits go further. Read more closely and it is something more useful: an admission that agent cost is now a runtime behavior problem. The bill is not determined only by which model you picked. It is

GitHub Agent Finder Is the First Serious Attempt to Make MCP Discovery Governable

GitHub Agent Finder Is the First Serious Attempt to Make MCP Discovery Governable

Agent tool discovery just crossed the line from developer convenience into infrastructure. GitHub’s new agent finder for Copilot sounds like a search box for MCP servers, skills, canvases, agents, and tools. That undersells it. The real move is that GitHub and Microsoft are trying to standardize the moment before

Qwen-RobotWorld Is Alibaba's Bid to Put a Simulator Inside Every Robot

Alibaba's Qwen team released a lot of model weights last year. It turns out that was the easy part. The harder problem is this: given everything a robot can see right now, what is likely to happen next? Not a confident prediction — a physically grounded one. One that

NVIDIA's Transaction Foundation Model Blueprint Shows Where GPU-Accelerated Fraud Detection Actually Wins

NVIDIA's Transaction Foundation Model Blueprint Shows Where GPU-Accelerated Fraud Detection Actually Wins

There's a quiet revolution happening in fraud detection, and it's not about a new model architecture everyone is talking about. It's about what happens when you stop treating transaction history as a table of independent events and start treating it as a sequence that

The Real Numbers Behind Low-Precision Training: A Practical GEMM-Level Guide for Transformer Engineers

The Real Numbers Behind Low-Precision Training: A Practical GEMM-Level Guide for Transformer Engineers

If you have been building AI infrastructure long enough, you have learned the hard way that benchmark numbers are not product numbers. The spec sheet says FP8 delivers 2x throughput over BF16. The real training run delivers something different, and the gap is usually not in NVIDIA's favor.