It takes a while to build the confidence, but there's no future where you're manually reviewing every line of agent code. Not much acceleration in that. You need adversarial agent reviews, you need automated testing, and maybe you spot check. That's it. From prompt to production!
@Tailsfan_EWfan2@MegaEdeath@yunivrzz They both say “ In the use of generative AI in business, "daily use" accounted for 63% of the total. " "I use it sometimes" is 23%”
Tom Henderson, has confirmed Bloomberg’s reporting on the heavy use of generative AI across major game studios.
He stated that “everyone’s doing it,” specifically naming Capcom, Ubisoft, and others.
Studios are quietly adopting GenAI tools for tasks like coding, generating small assets (such as rocks, grass, or environmental details), and speeding up production.
Most keep it undisclosed to avoid player backlash over concerns about creativity, quality, and job losses.
Capcom uses AI to brainstorm ideas for minor elements so artists can focus on heroes, enemies, and key content.
Anthropic dropped Fable 5.1 this week, so someone figured to throw something genuinely annoying at it.
He wanted a gun in Minecraft that fires Kirin, the lightning dragon Sasuke uses in Naruto. Instead of trying to describe it, he just gave Fable two YouTube links. One was the actual anime scene. The other was a short of an existing railgun mod told it to combine the two.
It didn't ask to explain anything. It went through both videos frame by frame and started building.
What it actually did on its own:
Wrote the whole mod for Fabric 1.21.1
Modeled the lightning dragon in Blender through the Blender MCP bridge
Made the gun model and textures
Launched the game itself so I could test it
The first attempt was already shockingly close. Dragon rendered, gun fired, it looked like the scene. A few things were off, so recorded himself using it and sent the clip back. From that one video it fixed the dragon flying upside down, scaled it 2x, and added debris, a proper crater, and fire on impact.
That was basically it. Two prompts total, the initial ask and one round of fixes.
Stats for the whole run:
~383.6k output tokens
$20.54 in API cost
~1 hour start to finish
Avez-vous entendu parler de ce roman ? C’est le « phénomène de la rentrée littéraire ». Il est lauréat du Prix Fnac, du Prix Méduse, du Prix Première Plume, fortement pressenti pour le Prix Renaudot, et il est en lice pour les prix Goncourt, Femina, Médicis et Décembre. Ah oui, il est aussi en cours de traduction dans 20 langues.
Eh bien selon Pangram, ce roman est rédigé presque intégralement par une Intelligence Artificielle. Nous avons testé plusieurs passages, à divers endroits du manuscrit, pour presque toujours le même résultat : 100% IA (cf les deux premiers chapitre dans le tweet ci-dessous).
Rappelons que Pangram est de loin le détecteur d’IA le plus fiable : son taux de faux positifs est de 0,0041%, soit environ un texte humain sur 24 400. Sur 996 273 textes antérieurs à 2022, Pangram en classe uniquement 14 (0,0014%) comme étant partiellement écrits par l’IA.
La probabilité que vingt passages d’un même livre (et il y a bien plus de 20 signalements dans le roman) soient identifiés à tort par Pangram comme étant produits par une IA s’élève donc à 0,0041% puissance 20, soit 0,1802 × 10⁻⁸⁵ %, c’est à-dire 0 suivi de 85 zéros après la virgule.
N’aurait-il pas été plus honnête que l’auteur crédite son co-auteur ?