News

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...

Refocus Any Photo After the Shot With genfocus/all-in-focus

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...

Stop Predicting Pixels: This AI “World Model” Predicts Your UI as Code

Code2World predicts GUI changes by generating renderable code instead of pixels—making world models more accurate, inspectable, an...

AI Agents Are Now Hiring Humans: RentAHuman and the Inversion of Work

RentAHuman.ai is a marketplace where AI systems search for, book, and pay real humans to perform physical tasks. The site was buil...

In the Age of AI, Does Physics Still Matter?

The robotics industry is currently a battlefield between Classical Control ("White Box"), which uses predictable physics equations...

GLM-5: from Vibe Coding to Agentic Engineering

Why today’s AI can “vibe code” but fails at real engineering—and how long-context efficiency plus agentic RL closes the gap.