The Signal.

Google Cloud Launches Agent Compute Engine: A MicroVM per AI Agent

Google Cloud announced Agent Compute Engine, a compute service that gives every AI agent its own hardware-isolated microVM with no credentials inside. It already runs Gemini agents and enters preview in the coming months.…

Uber rival inDrive eyes 2027 robotaxi tests in Central Asia with Pony.ai and Nvidia

inDrive plans to begin testing Pony.ai's robotaxis in Kazakhstan's capital in the first half of 2027.

Predictable Scaling: Efficient Model Exploration via Scaling-Law Prediction

arXiv:2610.23453v2 Announce Type: replace Abstract: Evaluating candidate changes (hypotheses) to recommendation models requires full-scale training runs consuming thousands of GPU-hours, severely limiting the hypothesis space engineers can feasibly explore. We introduce Predictable Scaling (PS),…

Interface-Induced Trajectory Censoring

arXiv:2609.03966v3 Announce Type: replace-cross Abstract: Tool-use evaluations typically measure calls through a serving stack, which can report zero calls even when model outputs contain call-shaped payloads. We study interface-induced trajectory censoring: a mismatch between…

FusionEval: Benchmarking Model Fusion for Large Language Models

arXiv:2610.30162v1 Announce Type: new Abstract: Model fusion aims to integrate the capabilities of multi-expert models into a single model. Existing evaluations offer limited coverage of reasoning with long chains of thought and tool use,…

Kazakhstan Expands Compute for Its AI Future

Kazakhstan’s AI ecosystem is moving from infrastructure plans to deployment.  The shift is visible across the full AI stack — from infrastructure to models to applications.  Together, the ecosystem announcements below point to the…

Does Your Model Run on AWS Trainium? Look It Up

Sure, let’s smoosh SpaceX and Tesla together, who cares

Oh sure, SpaceX's credit risk is pretty high because it's about to borrow another $40 billion to spend on Nvidia chips, but who cares about that? SpaceX and Tesla have formed special committees to…

Announcing new ways to customize models with SageMaker AI, without managing GPUs

Amazon SageMaker AI serverless model customization now includes training sessions, generally available today. You write and coordinate your own post-training loop (custom loss functions, reward signals, or multi-turn reinforcement learning) while SageMaker AI handles…

Write your own training loop — without managing GPUs — with Amazon SageMaker training session APIs

Amazon SageMaker AI training session APIs let you write your own LLM training loop (SFT, RL, or custom objectives) in a Python script while the service runs the GPUs. This post introduces the programming…

Google's Agent Compute Engine gives every Gemini agent its own hardware-isolated micro virtual machine

With Agent Compute Engine, Google is introducing a runtime environment designed specifically for AI agents, while also expanding the governance capabilities that enable companies to manage agents in cloud, hybrid, and on-premises environments. The…

How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage

GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI…