Topic
Open Weight Models
Abliterated and Uncensored AI Models, Explained (2026)
Abliterated models get refusals edited out at one activation direction — no retraining. How they differ from uncensored fine-tunes and whether quality suffers.
DeepSeek API: Official vs Third-Party Hosts (2026) — Privacy & Price
DeepSeek's official API stores data under Chinese jurisdiction; third-party hosts run the same open weights elsewhere. Compare 5 routes on privacy and price.
Leaving the Anthropic API: Open-Model Equivalents & the Switch (2026)
A practical guide to leaving the Anthropic API: map Claude workloads to open-weight models, choose a host, and swap one base URL. Code and checklist included.
Migrate Off the OpenAI API in an Afternoon (2026 — Code Included)
Migrate from the OpenAI API in one afternoon: swap the base URL (3 lines of code), remap model names to open weights, and canary 5% of traffic for 2 hours.
OpenRouter vs Morpheus for Open Models (2026): Side by Side
OpenRouter vs Morpheus on 10 identical criteria: trust, privacy, cost, catalog, reliability, tooling — and the 2-line change that switches between them.
How to Run Kimi K3 via API in 2026 (Price, Context, License Caveats)
Kimi K3 is a ~2.8T-parameter open-weight MoE you can call from any OpenAI-compatible API. Where to run it, what it costs, and the license fine print.
Together AI vs Fireworks AI (2026): Speed, Price, and Privacy Compared
Together AI and Fireworks AI both serve open-weight models via OpenAI-compatible APIs. Here's how they compare on speed, price, and privacy across 4 axes.
What Is Decentralized AI Inference? A Builder's Guide (2026)
Decentralized AI inference runs open-weight models across independent GPU operators instead of one cloud. Learn how the 3-layer stack works and when to switch.
