iFeeling Daily
Daily curated AI insights you can't miss.
Claude Tag: Persistent, Multiplayer AI Teammate for Slack
Anthropic launched Claude Tag, an AI teammate embedded directly in Slack that maintains shared context, works asynchronously, and takes initiative. The product moves beyond single-session AI interaction toward persistent, multiplayer collaboration, with Anthropic reporting 65% of its product team's code already created via this pattern.
Build real agentic apps using CUGA: lightweight harness, two dozen examples
CUGA (Configurable Generalist Agent) is an open-source harness from IBM that strips away the repetitive plumbing of agentic apps, letting you focus on tools and prompts. With two dozen single-file examples and built-in governance, it shows how to build agents that scale from a laptop to a governed production deployment without rewriting.
Shipping weekly releases with AI, open tools, and a human in the loop
Hugging Face cut their release effort from half a day to 15 minutes by using an open-weight AI to draft changelogs, wrapped in deterministic checks that verify every PR is included, and a human review before shipping. The full pipeline is open-source and costs about $0.25 per run.
AI Security After Codex and Claude Code: New Vulnerabilities and Guardrails
This episode from Gray Swan's cofounders explains why AI agents create a new class of security vulnerabilities that traditional cybersecurity cannot solve. Essential for engineers deploying Codex, Claude Code, or similar agents — prompt injection, automated red-teaming, and the lethal trifecta are must-understand concepts.
Codex as a persistent workspace for long-running AI workflows
A practical look at treating Codex as a persistent workspace for long-running work—breaking projects into verifiable steps, preserving context across sessions, and deciding when to delegate vs. keep human oversight. Essential reading if you're building workflows that span more than one chat.
MosaicLeaks: How Deep Research Agents Leak Private Information Through Queries
A new benchmark called MosaicLeaks reveals that deep research agents frequently leak private enterprise information through their web query logs, and training for task performance alone makes it worse. The authors propose PA-DR, a reinforcement learning method that trains agents to construct safer queries, cutting leakage by over 3x while preserving task success.
Why Self-Driving Labs Are the Real Bottleneck in AI for Science
Joseph Krause makes a compelling case that the bottleneck in materials science isn't ideas — it's experiments. His self-driving lab has produced 1,200 alloys in six months, nearly 10x the pace of the best prior DARPA program, and the key insight is that the moat is the lab and the data, not the model.
Build and Deploy a Remote MCP Server to GKE in 30 Minutes
This guide walks through deploying a remote MCP server on GKE Autopilot using Streamable HTTP, FastMCP, and the Kubernetes Gateway API with SSL. It's a practical pattern for teams needing centralized, scalable context servers for AI agents.
From Hugging Face Hub to Robot Hardware with Strands Agents and LeRobot
Strands Robots unifies the LeRobot stack into a single agent loop, letting you record, simulate, train, and deploy on hardware with no format conversion. The dataset format stays the same from MuJoCo to physical SO-101, making sim-to-real seamless.