Mitchell Hashimoto’s new venture Superlogical re-ignites the bitter debate: should AI-native startups embrace microservices or start monolithic?
A newly disclosed vulnerability turns Microsoft 365 Copilot into an unwitting worm propagator, hiding malicious instructions in documents that self-replicate across your organization.
Why relying solely on application logic for tenant isolation is a ticking time bomb, and what to do about it.
Nvidia is hiking RTX GPU prices by up to 30% for the third time this year. The DRAM crisis is real, but so is the pain for anyone trying to build a PC.
Removing safety filters from LLMs doesn’t just reduce refusals, it makes outputs more confident and optimistic without improving accuracy. New research proves it.
Blindly using Adam defaults is costing you convergence, stability, and generalization. Here’s the math, the failure modes, and the fix.
Transactional message deduplication is hard. The Inbox Pattern works when you co-locate tracking and business logic within the same database transaction. Here’s how to actually implement it.
Quantizing the KV cache on Qwen and other LLMs saves VRAM but can gut output quality. New research shows the drop is far worse than weight quantization, with creative and technical tasks taking the biggest hit.
Open-weights AI models promise flexibility and cost savings, but their architectural implications for distributed systems are a tangled web of security trade-offs, deployment autonomy, and infrastructure demands.
Opus 5 scored 24% on SlopCodeBench, revealing that frontier models fail at the one thing that matters: evolving codebases over time without breaking everything.
Every team feels the pressure to ship faster. But the shortcuts you take today are the rewrite you’ll be forced into tomorrow. Here’s how to spot the difference between strategic debt and slow-motion disaster.
Why experienced practitioners are choosing pivot tables over neural networks, and how the simplest approach often wins in production.
