The LGTM (Page 14)

The LGTM

Sign in Subscribe

Grok Build’s /goal Mode Is xAI’s Agent Handoff Primitive — and Its Next Safety Test

Grok Build’s /goal Mode Is xAI’s Agent Handoff Primitive — and Its Next Safety Test

xAI’s new /goal mode for Grok Build looks small if you squint: one more slash command in a terminal coding agent. That is the wrong read. The interesting part is not the syntax. It is the contract change. Grok Build is no longer only asking developers to supervise a

Task Guard’s NO_REPLY Bug Shows Why Agent Safety Instructions Need Exit Conditions

Task Guard’s NO_REPLY Bug Shows Why Agent Safety Instructions Need Exit Conditions

The uncomfortable thing about prompt-based safety is that the model keeps reading the prompt after the moment you meant it to apply. OpenClaw issue #95773 is a clean example: Task Guard tells the model that the final reply for the turn “must be and can only be NO_REPLY,” then

OpenClaw’s Model-Call Telemetry PR Makes Prompt Cost Debuggable at the Span Where It Happens

OpenClaw’s Model-Call Telemetry PR Makes Prompt Cost Debuggable at the Span Where It Happens

Every agent cost investigation eventually starts with the same miserable question: which part of the prompt got expensive? The invoice says tokens. The trace says a model call happened. The runtime says the agent was “working.” None of that tells you whether the bill came from duplicated system instructions, a

ACP Background Tasks Need to Wake the Parent Agent, Not Just Announce That They Finished

ACP Background Tasks Need to Wake the Parent Agent, Not Just Announce That They Finished

Background tasks are supposed to buy back attention. If an agent can delegate work to an ACP harness, wait for completion, and then leave the parent conversation sitting there like a CI job with no status check, the platform has not built orchestration. It has built a very expensive notification

Rubin’s 45°C Liquid Loop Is NVIDIA Turning Cooling Into Token Economics

Rubin’s 45°C Liquid Loop Is NVIDIA Turning Cooling Into Token Economics

NVIDIA’s new Rubin cooling story looks, at first glance, like facilities plumbing: warmer coolant, fewer chillers, less water, cleaner racks. That undersells it. The real announcement is that NVIDIA is trying to make the physical data center part of the AI runtime, because at agent scale the cost of

Microsoft’s 2GW Pecos Datacenter Is the AI Capacity Story Builders Cannot Ignore

Microsoft’s 2GW Pecos Datacenter Is the AI Capacity Story Builders Cannot Ignore

Microsoft’s newest Azure AI announcement is not a model, a benchmark, or another Copilot button in a product that already had three. It is a 2-gigawatt datacenter campus in Pecos, Texas — and that makes it one of the more honest AI stories of the month. The AI stack has

Langfuse 3.194.1 Shows the Hidden Cost of Agent Observability

Langfuse 3.194.1 Shows the Hidden Cost of Agent Observability

The most revealing line in Langfuse 3.194.1 is not about a shiny new dashboard. It is about gzip. More specifically, it is about measuring how much active CPU time gzip consumes while exporting observability data. That may sound painfully internal, but it is exactly the kind of internal