After probably several hundreds of hours programming with Opus 4.6 and 4.7, the jump to 4.8 seems almost unnoticeable to me. In general both models are extremely capable of executing well-scoped tasks from honestly pretty under-specified prompts. I also have found Opus 4.8 (and 4.7) to be exceptionally useful at…
m.r | Editorial Team
From our own experience, creative writing can share a lot of characteristics with writing code. The expressiveness of the medium, and ambiguity on what makes "good" writing or code. We found Anthropic's Fable 5 to be somewhat lacking on the creative writing front, so we wanted to see how GPT-5.5…
m.r | Editorial Team
Anthropic announced Fable 5 a day or two ago with fanfare as their new frontier-defining model. To try something a bit different, we used Fable 5 for one of our favorite pastimes: entertainment through novel creative writing. Given a simple prompt, Fable 5 followed instructions pretty well (narrative direction and…
m.r | Editorial Team
We gave Gemini a language spec for a DSL that was designed specifically for LLMs to generate plus a textual description of what we wanted it to write. The DSL is specific to our app, and therefore no model has it in training data. While a little slow (maybe ~30s…
m.r | Editorial Team
Fast & cost effective for generating visuals from short prompts. We used Sonnet as part of a two-pass LLM pipeline for taking a short user-provided prompt describing a graphic (e.g. "lifecycle of a cup of coffee" or "project timeline with three lanes over two years, segmented by quarter") and producing…
m.r | Editorial Team
