Older stories and guides from the Convly archive.
As of June 19, 2026, GPT-5.6 has no model card, benchmarks, or pricing from OpenAI. We separate the confirmed record from the loud leaks (1.5M context, Mini/Pro variants, a ‘meaningful improvement’ quote) and show how a hypothetical GPT-5.6 would land against Claude Fable 5, Gemini 3.5, and the open-weight wave from China.
Two Chinese labs shipped open-weight coding models a day apart. We fact-check the specs, context windows, pricing, licenses and benchmarks of GLM 5.2 and Kimi K2.7 Code to see which open coder actually fits your workflow.
Zhipu’s GLM 5.2 pairs a 1-million-token context with MIT-licensed open weights and a drop-in Anthropic-compatible API. Here are the confirmed specs, the benchmarks that landed with the weights, real access and self-hosting costs, and who should actually use it.
A plain-English guide to vector databases in 2026: what they are, how embeddings and similarity search actually work, the six options worth knowing, and when a plain Postgres extension is all you really need.
Ollama is the headless runtime developers wire into everything; Jan is the open-source desktop app that puts a ChatGPT-style UI and MCP tools in front of local models. Here’s how they actually stack up in mid-2026.
An NPU and a GPU both run AI, but they are built for opposite jobs. Here is what separates them in 2026, with real TOPS and TFLOPS numbers from the chips actually shipping.
Google NotebookLM grew from a quiet research experiment into a Gemini 3.5-powered study and analysis tool. Its source-grounded Q&A, Audio Overviews and new agentic features, compared with ChatGPT and Perplexity.
A practical, zero-to-running guide to LM Studio in 2026: setup on every OS, choosing models and quantization, the built-in OpenAI-compatible server, and the hardware you actually need.
A practical, code-first walkthrough of building a retrieval-augmented generation pipeline in 2026 — from embeddings and chunking to vector storage, reranking, and generation, with verified tool versions and honest notes on what actually works.
China’s two biggest labs shipped flagship models six weeks apart. DeepSeek V4 is open-weight and dirt cheap; Qwen3.7 Max is closed, faster, and scores a touch higher. We compare them on coding, reasoning, context, speed, and cost.
Perplexity’s Comet browser is now free and cross-platform. We dig into its agentic browsing, built-in answers, real-world reliability, and the prompt-injection risks before you make it your daily driver.
A no-hype buyer’s guide to small-form-factor machines for local LLMs in 2026 — Apple’s Mac mini, NVIDIA’s DGX Spark, AMD Strix Halo boxes and Intel — with verified specs, prices and token-per-second numbers, plus picks by use case.
