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🤖 Anthropic may have just pulled off the biggest PR win in AI.
For years, the company positioned itself as the “ethical AI lab” while everyone else raced to ship products faster. They refused some military AI work, warned constantly about AI risks, and built an entire brand around safety and responsibility.
Now that strategy is paying off in a massive way.
The Vatican publicly thanked Anthropic and announced an ethical collaboration around AI.
Think about what that means.
The Catholic Church has 1.4 billion followers worldwide. And now the Pope is effectively signaling that Anthropic is a company worth trusting on moral and ethical grounds.
That’s not just a partnership.
That’s global reputational power.
At the same time, Anthropic keeps attracting elite talent like Andrej Karpathy, strengthening its image as both the “smartest” and the “most responsible” AI company.
AI labs are no longer competing only on intelligence, they’re competing on trust. And today, Anthropic probably took the lead.
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The whole brand had to feel human - even though the product is AI.
I built Cactus AI's landing page around a custom 3D mascot, a sage-to-forest-green palette, and light-to-dark section switching that keeps the scroll going.
Every visual choice pointed to one idea - making an AI phone service feel warm enough to trust before the visitor even reads a word.
Amazing!
I know that I'm in the minority here being against the use of generative AI and avoiding it wherever possible because it is fundamentally at odds with my ethics. I'm curious if there's anyone else here who is navigating working in tech and being anti AI?
Have you put together an AI policy or clause for contracts to protect your copyright and make sure that clients don't run your creative work through LLMs?
Zooly is the brand mascot and the AI chat assistant for a pet boarding SaaS. He is built entirely in Rive and runs live in production at zooly.pet.
He is a working assistant with real tooling. He pulls live booking data, raises support tickets, and searches the knowledge base to answer questions. Helpful, useful, and fun.
He also reacts to what happens in the app. Confirm a booking and he fist pumps, open the chat and he waves, go idle and he drifts from bored to sleepy, and he cracks animal jokes and laughs at them. His eyes follow your cursor, and 160+ contextual lines keep him from repeating himself.
How it is built:
One ZoolyStates state machine. A mood input drives 8 fully rigged poses (idle, talking, roar, happy, excited, curious, bored, sleepy) at 60fps.
A second Expression overlay layer composites gestures (wave, fist pump, curious tilt, laugh) over the current mood, driven by a Rive View Model.
2D eye tracking binds lookX and lookY to the cursor position.
The rig is built for a whole cast. Every character shares the same numeric contract, so each app domain gets its own mascot with a personality suited to it. A falcon runs security, a penguin runs care, a quokka runs bookings. They render Zooly's rig as stand-ins until their artwork is commissioned.
That cast also cuts decision fatigue. Each character only raises what matters in its own domain, so who is talking to you tells you what kind of thing it is before you read a word.
Interactions: eyes follow the cursor, right click to roar, rub his belly for excited, drag him and his arms go up.
Amazing😻
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