AI Token Cost: What Is a Token — and How Every Model Games the Count
Complaints about opaque AI pricing are flooding social media. Which ones hold up to scrutiny and which are just users' overactive imaginations? How do models slip past their own published rate cards? How do usage limits actually work, and why do companies benefit from keeping the explanations as vague as possible?
DevOps & AI Architecture Dispatch
Join engineers receiving hands-on writeups on Kubernetes clustering, Terraform GitOps, distributed ML infrastructure, and low-latency LLMOps. No marketing fluff—strictly technical notes.
Join the Discussion on AI Token Cost: What Is a Token — and How Every Model Games the Count
Comments and Q&A are powered by GitHub Discussions. To enable them with zero maintenance, add your repository IDs to your environment variables or visit giscus.app.
The Rise of AI Software Clones: How REA and ArtCraft Are Threatening the SaaS Monopoly
Developers are no longer just “vibe coding” simple CRUD apps and landing pages. Armed with AI reverse-engineering agents and Rust, solo developers and small teams are coming after Adobe Creative Cloud and Microsoft Office.
The Sub-$1,000 MoE Cluster: Serving a 70B Mixture-of-Experts with Speculative Expert Paging
How asynchronous NVMe streaming, router logit lookahead, and tiered ring buffers push production-grade inference out of commodity hardware.
Squeezing a 27B LLM into a $700 GPU: A Masterclass in AI Platform Engineering
How low-level inference engineering, 4-bit quantization, and speculative decoding push 1,000+ tokens/sec out of a consumer RTX 3090.