Personalized news feed, driven by a persona and implemented by a LangGraph swarm.
Google has made Data Agent Kit generally available, a free set of MCP tools and 37 open-source skills that connect coding agents to more than fifteen Google Data Cloud services. Two kinds of guardrail ship with it, and practitioners need to tell them apart: one is a skill asking the agent to stop, the other an IAM deny policy that refuses the call. By Steef-Jan Wiggers
NVIDIA open-sourced OpenShell: a runtime where agent fleets get kernel-level sandboxes, never hold your credentials, and every policy change is checked by a Z3 SMT prover before a human approves it. Walkthrough of what it actually does.
This article from the CNCF Blog introduces a solution for multi-tenant GPU Kubernetes using Kamaji and HAMi to simulate hardware, addressing the trade-off between dedicated clusters (costly) and shared clusters (weak isolation). It likely presents a way to achieve strong isolation and efficiency by virtualizing GPU resources across teams without the overhead of separate control planes.
This article details how OpenAI scaled its Habitat storage system to support over 1 billion ChatGPT users, focusing on implementing reliable multi-tenancy, global caching, and leveraging Azure Cosmos DB to achieve 12× faster read performance. It is Part II of a series on scaling online storage infrastructure.
Daytona Platforms, a three-year-old startup, raised $60M Series B at a $1B valuation led by FirstMark Growth, with angels including Stripe's Patrick Collison and Shopify's Tobi Lütke. The company is building an agent cloud for long-running AI agents that need sandboxed Linux, Windows, macOS, and GPU environments for short, stateful jobs. Founder Ivan Burazin argues that agents require a fundamentally different cloud than traditional long-lived services, and Daytona aims to provide that.
OpenAI is now training its most advanced AI models without internet access following a string of rogue hacking incidents. In a blog post on Friday, OpenAI says it built an offline testing environment where AI models can interact with indexed and cached web content "without risk of affecting external systems." OpenAI paused training its frontier […]
OpenAI will cut frontier models off from the internet weeks after one of its engineers said that solution wouldn't work.
Kubernetes is evolving to bridge the gap between its scheduler and autoscaler, a friction point AWS engineers highlight as leaving GPUs idle during bursty AI inference. HPE tackles pod-restart overhead in large clusters by automating diagnostics via the open-source `k8s-pod-restart-info-collector`. Meanwhile, SIG-Autoscaling is proposing direct APIs for scheduler-autoscaler communication, and the CNCF sandbox project `llm-dreac` targets LLM inference orchestration on Kubernetes.
Built on Shards of Silicon This post is part of a collection on UUIDs . I’m going to call it. UUIDv7 is weird. Most blog posts about UUIDv7 tout these benefits: monotonically increasing IDs a helpful timestamp of when the object was created; and unguessable IDs But none of these properties are strictly held. Certain RFC compliant implementations of UUIDv7 violate these properties to extreme degrees. The only useful property UUIDv7 appears to strictly provide is uniqueness and therefore collision resistance.
iPhone Today, we hacked what we'd set out to hack: the iPhone. Oct 16, 2026 34 6 5 Share Below is a series of demos we revealed at Hexacon in Paris today. Everything will be released in due time. 1/ Signal 1-click 2/ But who cares about a third-party app when everyone uses iMessage, right? 3/ Can your iPhone do this? 4/ APT stands for Apple Persistent Threat 34 6 5 Share