Wednesday, April 22, 2026
Merged timeline of 55 items — blog publish times and listing timestamps, cut at midnight . Page 2 of 2.
- BlogWhat is a context window? LLM 'working memory' and a 2026 snapshot of top models
Context length is the cap on 'how much the model can read at once,' not the same as how many parameters it has. This guide defines the window, input vs max output, long-context tradeoffs, and what Anthropic, OpenAI, Google, and Meta publish today.
- BlogWhat are parameters in a large language model? Billions, MoE, and what 2026 model cards really say
Bigger is not a synonym for smarter, but parameter count is still the first axis people use to compare scale. This guide explains what parameters are, how mixture-of-experts changes the math, and which flagship models still publish size—and which do not.
- BlogChatGPT Images 2.0 and gpt-image-2: OpenAI’s new flagship, API sizes, and how it fits the stack
The product story is 'precision and iteration'; the platform story is gpt-image-2 on the Image and Responses APIs with flexible sizes and quality tiers. Here is a concise map of what OpenAI published and where to read the current limits.
- BlogStanford’s AI Index 2026: breakthroughs, gaps, and what we make of it at ExplainX
Stanford HAI’s AI Index and HAI’s own “12 takeaways” article, read alongside IEEE Spectrum’s “12 Graphs That Explain the State of AI in 2026”—with attributed stats, Perrault-on-benchmarks color, and ExplainX’s take for developers.