Algorithms

Tinder is a Commodity Market. This App Just Broke the Algorithm.

Plura is dismissed by analysts as a niche app for open relationships, but it’s actually a systems-level critique of modern dating. By flipping the sequence to ‘meet at an event, then match online,’ Plura achieves a 10x higher success rate, proving that algorithms destroy the context needed for real human connection.

Cheap AI Tokens Are a Lie. They’re Quietly Destroying Your Product Metrics.

Cheap, unauthorized AI token resellers aren’t just riskyโ€”they are actively poisoning your product. By silently downgrading models and lobotomizing context, they distort your user metrics, leading you to kill valuable features based on fake data. Stop buying black-market compute and optimize your architecture instead.

Stop Paying for Opus. Why a Cheaper AI Model Just Beat It.

We’ve been obsessing over the size of AI models when we should have been obsessing over their discipline. OpenSquilla 0.4.0 embeds a strict Test-Driven Development loop into AI coding, forcing agents to pass 19+ tests before delivering code. The result? Cheaper models like Deepseek V4 Pro are outperforming expensive ones like Opus 4.8. The future of AI coding isn’t a bigger brainโ€”it’s a better workflow.

Stop Blaming AI for the Hiring Crisis. The Real Culprit Is Far More Uncomfortable.

Recruiters can’t find workers. New grads can’t find jobs. The jobs exist. The workers exist. The real culprit isn’t AI or laziness โ€” it’s the collapse of trusted signals like degrees and years of experience. We’re drowning in data but starving for trust, and nobody’s building the new verification systems we desperately need.

Years of Nautical Engineering, Replaced by a Weekend of AI Prompts

Skiff is a frontier isochrone tuning simulation for sailboatsโ€”and it’s 100% AI-generated. But the real story isn’t about sailing. It’s about how iterative, multi-step AI collaboration just demolished the barrier between domain expertise and software implementation. The bottleneck has shifted from ‘who can build this’ to ‘who can describe this precisely enough.’