iFeeling Daily
Daily curated AI insights you can't miss.
Local Model Triage for OpenClaw: Real-Time, Cost-Free PR Classification
If you own a powerful local machine like the NVIDIA GB10, using models like gemma-4-26b-a4b or qwen3.6-35b-a3b in an agent harness can give you real-time, cost-free triage of open-source contributions. The article provides concrete numbers on precision, recall, and throughput tradeoffs, plus a practical hybrid architecture that uses a cheap cloud audit loop ($9/month) to catch misses.
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.
So You Want to Sell Inference: Pricing vs Value in AI
If you're reselling inference, cost-plus pricing caps your margins at zero as commodit drives prices down. The article explains how value-based pricing (charging per outcome, not per token) and optimization (distillation to proprietary small models) keep gross margin above 30%, and why bring-your-own-key kills markup entirely.
Daybreak: Tools for Securing Every Organization in the World
OpenAI's Daybreak initiative tackles the new cybersecurity bottleneck of patching at scale, with Codex Security automating fixes across 30,000 codebases, GPT-5.5-Cyber setting state-of-the-art CyberGym scores, and Patch the Planet pairing expert researchers with open-source maintainers to land fixes faster.
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.
The AI Frontier: from FLOPs to Megawatts — Anjney Midha, AMP
Anjney Midha argues the AI race is shifting from buying more GPUs to building a compute grid that makes FLOPs flow like megawatts, modeled on independent system operators rather than hyperscaler monopolies.
Using AI to Reanalyze Unsolved Rare Disease Cases and Find New Diagnoses
Researchers used OpenAI o3 Deep Research to reanalyze 376 unsolved rare-disease cases, yielding new diagnoses in 4.8% after experts confirmed findings—demonstrating how AI-assisted periodic reanalysis can uncover answers buried in fragmented genomic data and evolving scientific knowledge.
Agent Factory Recap: 100X Engineering with AI Agents in Google Antigravity 2.0
Rody Davis argues that poor codebase health, not context windows, is the biggest bottleneck to AI speed, and that vibe coding will create a new consulting market for engineers who fix production failures. His practical approach revolves around Skills as context cheat sheets and treating codebases like Bonsai trees with strict architectural discipline.