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If you saw Fox McCloud in The Super Mario Galaxy Movie, you'd be forgiven if your first thought were, "hey, it's the guy from Smash Bros!" The Star Fox series has struggled to maintain momentum since its inception in 1993, with Nintendo launching fewer Fox games over the series' lifespan than its other major franchises. Even Donkey Kong, abandoned for so long until Bananza, had spin-offs, and the ape made guest appearances in Mario Party and Mario Kart. Not so for Fox. Nintendo didn't alternate releases between handheld and console Star Fox releases like it did for other franchises, and after 2005, there were much longer gaps between launches. Velan Studios' Star Fox remake sees the vulpine mercenary barrel-rolling back onto the scene. It's a muted return after years of silence and stagnation, though there are some signs it's the start of something better.

GLM-5.2 wins HTML design leaderboard despite smaller architectural constraintsTemplate consistency drives higher preference scores across user evaluationsOpen weight model challenges pricing norms in AI market competitionZ.ai's GLM-5.2 has knocked Anthropic's Fable 5 off the top of Design Arena's single-turn HTML web design leaderboard — a ranking the Claude model family had dominated for months.The Chinese open-weight model, built on 744 billion parameters and carrying an MIT license, now sits first overall, five places above its predecessor, GLM-5.1.What makes this notable is that Z.ai achieved this without vision capabilities and with a model the same size as GLM-5.1, while its nearest rivals are speculated to be as much as 6.7x larger.A price advantage to match the performanceGLM-5.2 costs $1.40/$4.40 per 1 million tokens, against Fable 5's $10/$50 per million, establishing what Design Arena calls a new Pareto frontier for preference versus price.The model does not beat Fable 5 everywhere: it ranks second on Game Dev, Data Visualization, and 3D design leaderboards, and fourth on UI Components, but on website generation, three specific behaviours explain its lead.GLM-5.2 applies a consistent set of high-performing base templates that avoid the anti-patterns — such as the notorious purple gradients — that plagued earlier AI-generated designs.It also handles external dependencies like chart.js and three.js more reliably than rivals, generating a 6.0 percentage-point win rate increase across the 21% of sessions using those libraries.It deploys TailwindCSS in 91% of sessions and Font Awesome in 51%, compared to Opus 4.8's TailwindCSS usage of just 57%.It also generates 25% more characters and lines of code than competitors, with an average generation time of 304.7 seconds, roughly twice that of Fable 5.Fable 5, by contrast, generates 38% fewer lines of code and 29% fewer characters than its competitors, reflecting a more generalised approach that trades average output quality for diversity and speed.The Mythos timeline exchangeThe model's release has fed into a broader public debate about how fast China can close the capability gap with American frontier AI.Recently, Tesla CEO, Elon Musk, joined a public debate on X and suggested that China will hit Fable-class AI capability "in Q1", which means the first quarter of next year.However, in a confident yet cheeky response, co-founder of Z.ai, Jie Tang, simply replied with four words — "Won't take that long."The exchange drew attention because it coincided with GLM-5.2 topping a leaderboard that Anthropic's models had long controlled.Design Arena's own analysis acknowledges that GLM-5.2's "expert template" approach favouring consistent and high-quality outputs over diversity performs better on website generation tasks but does not necessarily indicate broader capability parity.In agentic settings, GLM-5.2 generates 11% more files and calls 17% more tools than competitors, yet produces slightly less code overall.The open-source frontier is clearly moving faster than many expected, and what was state-of-the-art months ago is now being matched by models anyone can freely build on, fine-tune, and deploy.However, topping a design leaderboard does not automatically mean a model can match the deeper reasoning capabilities of most advanced AI systems.