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Living With the Lethal Trifecta: A Guide to Personal AI Agent Security
I’m convinced that personal AI agents are too powerful to ignore and too dangerous to deploy carelessly. I built one anyway. Here...
I asked the Portal One+ Telegram AI assistant to review itself. Here's how it we...
Portal One+ is an open-source, self-hosted AI assistant that connects to Telegram, WhatsApp, Signal, Discord, and others. It is li...
The AI Seduction That Breaks Engineering Instincts
AI tools dramatically accelerate implementation, but they expose a deeper limit: human comprehension. Code now grows faster than t...
A Build Post-Mortem: Where “Ethical AI” Breaks in Practice
Aims to build a multi-lens introspection system designed to take a user’s inner state and translate it into structured insights. W...
How to Integrate AI Agents into Your Business Without Disrupting Operations
Integrating AI agents into your business doesn’t have to feel like open-heart surgery. Done correctly, it feels more like hiring a...
The Sound of Data: Why Your Voice is the Hardest Problem in AI
Voice is the next big data problem. See how Deepgram masters noisy audio and why the future of real time AI requires ethical voice...
How I Productized Legal Advice Into a Scalable Marketplace
I started as a practicing lawyer working with small businesses. It didn’t take long to see the ceiling of the offline model.
A 196B Model That Runs Like 11B: The Step 3.5 Flash Bet
Step 3.5 Flash shows how to get frontier reasoning without frontier bills—sparse experts, smarter routing, and MIS-PO RL that keep...
Why RL Feedback Fails Language Models (And What ERL Fixes)
ERL adds a reflection step to reinforcement learning: attempt, feedback, explanation, refined attempt. The result: faster learning...
Stop Throwing AI at Broken Systems: Fix Your Engineering Culture First
With AI integrated into workflows, a lean team of 10 people can ship faster and better than a firm with 200 people. But before you...
