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Practical LLM Security Advice from the NVIDIA AI Red Team

NVIDIA’s AI Red Team nailed three security sinkholes in LLMs:reckless use ofexec/eval,RAG pipelines that grab too much data, andmarkdown that doesn't get cleaned. These cracks open doors to remote code execution, sneaky prompt injection, and link-based data leaks. The fix-it trend:App security’s lea.. read more  

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Roses are red, violets are blue, if you phrase it as poem, any jailbreak will do

A new study just broke the safety game wide open: rhymed prompts slipped past filters in25 major LLMs, including Gemini 2.5 Pro and Deepseek - withup to 100% success. No clever chaining, no jailbreak soup. Just single-shot rhyme. Turns out, poetic language isn’t just for bard-core Twitter. When it c.. read more  

Roses are red, violets are blue, if you phrase it as poem, any jailbreak will do
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A trillion dollars is a terrible thing to waste

OpenAI co-founder Ilya Sutskever just said the quiet part out loud: scaling laws are breaking down. Bigger models aren’t getting better at thinking, they’re getting worse at generalizing and reasoning. Now he’s eyeingneurosymbolic AIandinnate inductive constraints. Yep, the “just make it huge” era m.. read more  

A trillion dollars is a terrible thing to waste
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Prompts for Open Problems

The author, Ben Recht, proposes five research directions inspired by his graduate machine learning class, arguing for different research rather than just more. These prompts include adopting a design-based view for decision theory, explaining the robust scaling trends in competitive testing, and mov.. read more  

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Advancing Our Chef Infrastructure: Safety Without Disruption

Slack pulled back the curtain onSlack AI, its LLM-powered assistant built with a fortress mindset. Every customer gets their ownisolated environment. Any data passed tovendor LLMs? It'sephemeral. Gone before it can stick. No fine-tuning. No exporting data outside Slack. And there’s a wholemiddle-lay.. read more  

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Why we're leaving serverless

Every millisecond matters in the critical path of API authentication. After two years of battling serverless limitations, the entire API stack was rebuilt to reduce end-to-end latency. The move from Cloudflare Workers to stateful Go servers resulted in a 6x performance improvement and simplified arc.. read more  

Why we're leaving serverless
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Failure is inevitable: Learning from a large outage, and building for reliability in depth at

Datadog ditched its “never fail” mindset after a March 2023 meltdown knocked out half its Kubernetes nodes and took major user features down with them. The fix? A full-stack rethink built aroundgraceful degradation. The team addeddisk-based persistence at intake,live-data prioritization,QoS-aware re.. read more  

Failure is inevitable: Learning from a large outage, and building for reliability in depth at
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You’ll never see attrition referenced in an RCA

Lorin Hochstein argues that while high-profile engineer attrition is often speculated to contribute to major outages, it is universally absent from public Root Cause Analyses (RCAs). This exclusion occurs because public RCAs aim to reassure customers by focusing on technical fixes, whereas attrition.. read more  

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Declarative Action Architecture

The Declarative Action Architecture (DAA) is a scalable E2E testing pattern that separates concerns across three distinct layers. TheTest Layeris 100% declarative, statingwhatis being tested without any procedural logic, making tests read like documentation. The coreAction Layerimplements the execut.. read more  

Declarative Action Architecture
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Comparing AWS Lambda Arm64 vs x86_64 Performance Across Multiple Runtimes in Late 2025

A new open-source benchmark looked at 183,000 AWS Lambda invocations, andarm64 beats x86_64across the board in both cost and speed. Rust on arm64 with SHA-256 tuned in assembly? It clocks in 4–5× faster than x86 in CPU-heavy tasks. Cold starts are snappy too—5–8× quicker than Node.js and Python... read more  

Comparing AWS Lambda Arm64 vs x86_64 Performance Across Multiple Runtimes in Late 2025
k3d is an open-source utility designed to simplify running Kubernetes locally by wrapping K3s (Rancher’s lightweight Kubernetes distribution) inside Docker containers. Instead of creating virtual machines, k3d uses Docker as the execution layer, allowing developers to spin up multi-node Kubernetes clusters in seconds using minimal system resources.

k3d is especially popular for local development, CI pipelines, demos, and testing Kubernetes-native applications. It supports advanced setups such as multi-node clusters, load balancers, custom container registries, port mappings, and volume mounts, while remaining easy to tear down and recreate.

Because it uses K3s, k3d inherits a simplified control plane, bundled components, and reduced memory footprint compared to full Kubernetes distributions. This makes it ideal for developers who want a realistic Kubernetes environment without the overhead of tools like Minikube or full VM-based clusters.

k3d integrates cleanly with common Kubernetes workflows and tools such as kubectl, Helm, Skaffold, and Argo CD. It is frequently used to validate manifests, test Helm charts, and simulate production-like environments locally before deploying to cloud or on-prem clusters.