What reversing, modernising old games tells us about the economic impact of AI
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What reversing, modernising old games tells us about the economic impact of AI
Unofficial Hacker News client; not affiliated with Y Combinator.
anonymous908213 · · focus · HN ↗
Let's take this claim:
> the state of the art on 3d asset generation already changed dramatically. GPT-6 Astra, GPT-6 Sol and finally Claude Opus 5.5 all moved closer into "Senior 3d artist territory"
I opened Codex, gave Astra Max access to Blender and a model, shaders, materials from Persona 5 and confirmed that it could work with it. Then I gave it reference artwork of an unrelated character and prompted it to use the Persona 5 model as a reference and model the new character in that style. The result: <a href="https://d.uguu.se/BOuGsmyR.png" rel="nofollow">https://d.uguu.se/BOuGsmyR.png
Yes, it is nifty a language model can do anything at all with that prompt. But come now. Senior 3D artist. Give me a fucking break. Lie after lie after lie. Do you enjoy the feeling of clout you get from lying and people sharing your fabrications in a panic? Is that it?
I wish we could talk rationally about the capabilities of tools. Public discourse has degraded beyond reason. As one of the apparently extremely tiny minority of people who are grounded in reality, who objectively evaluates claims with their own two eyes, it is not very enjoyable to be bombarded with conversations from and between liars day in and day out. What is the purpose of this liars' society we have built?
keeda · · focus · HN ↗
While he's never been dismissive of the technology itself, it is fascinating to see this kind of work from him even as he rails at all the hype around AI.
simianwords · · focus · HN ↗
Hmm,
> Remember the relentless “AI is beating everyone in Math Olympiads” and “it’s all over for humans, no point in learning STEM? Well…
> The 2025 Math Olympiad problems are out and naturally people tested the leading LLMs on those… and… spoiler .. they all fail, badly.
>That’s it LLMs are all about storage in training data which enables recombinatorial retrieval. Don’t expect them to solve or respond to new things like a human.
> They fail with novel and unknown tasks because their ability to generalize is vastly overstated by the people invested in the technology.
> The value of LLMs is in their data. No data, no answer. You have a novel piece of work that’s never been done before? OpenAI will insist it’s worth nothing because it’s a spec in the Ocean, yet that’s not true at all.
<a href="https://www.linkedin.com/posts/georgzoeller_proof-or-bluff-evaluating-llms-on-2025-usa-share-7312698397910568960-XYvZ" rel="nofollow">https://www.linkedin.com/posts/georgzoeller_proof-or-bluff-e...
Today you can solve IMO problems with ~$5.
Its up to you to verify that he has dismissed the technology and that he has been wrong about its performance in mathematics.
Edit:
Even without lean I can solve IMO problems using Sol/Fable today.
You made a categorical statement about LLMs
> That’s it LLMs are all about storage in training data which enables recombinatorial retrieval. Don’t expect them to solve or respond to new things like a human
> They fail with novel and unknown tasks because their ability to generalize is vastly overstated by the people invested in the technology.
It was not contextual but categorical. And it is false today.
gmerc · · focus · HN ↗
We hadn’t broadly moved into lean proof harnesses and brute force compute spend at the time yet and the statement itself continues to be true for LLMs on their own.