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RPG dev pushes back against Steam review AI accusations: ‘We poured years of our lives into this game and only worked with real human artists on everything’

The ubiquity of generative AI is a hard pill to swallow, but even harder is figuring out what’s AI and isn’t. It’s easier than ever now to reach for that low-hanging fruit of critique in saying that something looks like an AI spat it out, especially now that games are claiming they were, in fact, spat out entirely by AI. Positive Concept Games, the developer of SNES-esque RPG Shrine’s Legacy, found that out the hard way, as it shared in a post on X last Wednesday.

Please don’t do this. We poured years of our lives into this game and only worked with real human artists on everything: From the writing to the coding, all work was done by human hands. We do not endorse generative AI and will never use it. pic.twitter.com/3L7NKVX1L8 December 10, 2025

The dev shared a Steam review of the game that calls it “AI slop,” claims the “story is dogshit mixed with catshit,” and reiterates that the game was “made in CHAT GPT.” The developer caption reads: “Please don’t do this. We poured years of our lives into this game and only worked with real human artists on everything … We do not endorse generative AI and will never use it.”

Rise of the machines: From AI to AGI to the uncharted realm of Superintelligence

AI’s rise to fame in the mainstream happened with OpenAI’s GPT-3 launch in 2020, which became a benchmark for large language models and quickly spread through startups via APIs. While Big Tech now races toward AGI and superintelligence, experts warn current systems remain limited, governance unprepared, and safety oversight crucial as AI capabilities accelerate faster than human control.

V-STARS pioneers neuroscience at ESA’s Orbital Robotics Lab

As part of the ESA Academy Experiments Programme, Team V-STARS carried out the first experiment with human participants in the Orbital Robotics Lab, investigating how microgravity affects the perception of verticality.

The V-STARS team, a collaboration between Birkbeck, University of London, and the University of Kent (UK), was selected to join the ESA Academy Experiments Programme in February 2025. After obtaining ethical approval from the United Kingdom and authorisation from the ESA Medical Board, the team was permitted to carry out their experiment in the Orbital Robotics Lab (ORL), located at ESTEC, the ESA site in the Netherlands.

The campaign involved test subjects seated on the ORL’s floating platform, wearing VR headsets while performing gravity-related perceptual tasks. The project investigates the use of Vestibular Stochastic Resonance — a phenomenon in which controlled noise enhances the sensitivity of a sensory system — to improve perception and potentially accelerate adaptation to microgravity. Over two weeks, the team tested more than 20 participants and has now returned to their universities to analyse the results.

This Photonic AI Chip is the FUTURE of Computer Vision

This AI chip doesn’t use electricity to compute — it uses light.

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Engineers at the University of Pennsylvania have built a photonic neural network capable of classifying nearly 2 billion images per second, operating at speeds millions of times faster than today’s electronic computer vision systems.

In this video, we explore how photonic neural networks work, why traditional image recognition is so computationally expensive, and how light-based hardware could overcome fundamental limits of GPUs and silicon. We go over how convolution layers, weighted sums, and activation functions are implemented directly on a photonic chip — without memory, clock cycles, or digital logic.

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