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@kala shared a link, 1 month, 1 week ago
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Securing Agents in Production (Agentic Runtime, #1)

Palantir's AIP Agentic Runtime isn't just another agent platform, it's a control plane with teeth. Think tight policy enforcement, ephemeral autoscaling with Kubernetes (Rubix), and memory stitched in from the jump viaOntology. Tool usage? Traced and locked down with provenance-based security. Every.. read more  

Securing Agents in Production (Agentic Runtime, #1)
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@kala shared a link, 1 month, 1 week ago
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Is that allowed? Authentication and authorization in Model Context Protocol

TheModel Context Protocol (MCP) 2025-11-25spec tightens up remote agent auth. It leans intoOAuth 2.1 Authorization Code grants, PKCE required, step-up auth backed. No token passthrough allowed. What’s new: experimental extensions forclient credentialsandclient ID metadata. These smooth out agent reg.. read more  

Is that allowed? Authentication and authorization in Model Context Protocol
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@devopslinks shared a link, 1 month, 1 week ago
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Moltbot Personal Assistant Goes Viral, And So Do Your Secrets

Moltbot, the self-hosted AI agent with native hooks for Slack, Telegram, and WhatsApp, exploded from 50-ish to over 3,000 GitHub forks a day after going viral on Jan 24, 2026. It's built around a file-backed workspace and automates everything from code deploys to cloud orchestration. Cool? Definitel.. read more  

Moltbot Personal Assistant Goes Viral, And So Do Your Secrets
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Supply-chain risk of agentic AI - infecting infrastructures via skill worms

AI assistants with shell, network, or filesystem "skills" don't just help, they expose. These hooks can run commands before any human checks the model’s output. That means a bigger attack surface. More room for lateral movement. Easier persistence. In setups where tools like Claude Code run often, i.. read more  

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CodeBreach: Supply Chain Vuln & AWS CodeBuild Misconfig

Wiz Research dropped details onCodeBreach, a serious flaw that cracked open AWS SDK GitHub repos, yes, including the popular JavaScript one. The root problem? Leakyregex filtersin CodeBuild pipelines. They missed anchors, so attackers slipped in rogue pull requests, dodged build rules, and stole hig.. read more  

CodeBreach: Supply Chain Vuln & AWS CodeBuild Misconfig
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I Cannot SSH Into My Server Anymore (And That’s Fine)

A dev ditched their $100/month VPS for a clean, automated CoreOS setup. No SSH. No clicking around. JustIgnition,Podman Quadlets, andTerraformdoing the heavy lifting. It boots from YAML, spins up containers with systemd, and keeps itself fresh withPodman auto-updates, zero-touch, straight from the r.. read more  

I Cannot SSH Into My Server Anymore (And That’s Fine)
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Nanoservices: Why Serverless Got Architecture Right

A fresh take onAWS Lambdaand serverless: thinknanoservices- tiny, isolated functions instead of chunky microservices. No shared state or shared runtime but clean separation, lean logic, and fewer ways to screw up scaling. Where microservices can spiral into spaghetti, nanoservices stay crisp. Each f.. read more  

Nanoservices: Why Serverless Got Architecture Right
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@kala shared an update, 1 month, 2 weeks ago
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OpenClaw - Former Moltbot, Former Clawdbot - Went Viral Overnight. Then Security Reality Hit.

OpenClaw

OpenClaw, an open-source AI assistant platform, has been launched, evolving from Clawdbot and Moltbot. It features new plugins, enhanced security, and support for new models, while addressing a major security vulnerability. The platform emphasizes community involvement and invites contributions for its development.

OpenClaw - Former Moltbot, Former Clawdbot - Went Viral Overnight. Then Security Reality Hit.
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@kala added a new tool OpenClaw , 1 month, 2 weeks ago.
GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.