Difwif

The models will be leap frogging themselves with zero human input far before Europe wakes up.

This seems incredible and I love the idea. Anyone using this for large projects? Any clear downsides or tradeoffs?

I believe it's already well accepted in these labs that we're in the Singularity. It happened on a Tuesday back in February. No one seemed to really notice and life went on... for now.

Of course the government should own everything! How stupid of us for assuming that's a bad idea.

The OP said "as capable as the frontier cloud models are today" which might assume model improvements that do more with less. Opus 4.7/Gpt5.5 performance might be achievable with a fraction of the parameters.

I think it's pretty obvious what category you see yourself in.

I don't think you're a hacker. I think you enjoy writing code (good for you). Some of us just enjoy making the computer execute our ideas - like a digital magician. I've also gotten very good at the code writing and debugging part. I've even enjoyed it for long periods of time but there's times where I can't execute my ideas because they're bigger than what I can reasonably do by myself. Then my job becomes pitching, hiring, and managing humans. Now I write code to write code and no project seems too big.

But I'm looking forward to collapsing the many layers of abstraction we've created to move bits and control devices. It was always about what we could do with the computers for me.

This statement feels like a farmer making a case for using their hands to tend the land instead of a tractor because it produces too many crops. Modern farming requires you to have an ecosystem of supporting tools to handle the scale and you need to learn new skills like being a diesel mechanic.

How we work changes and the extra complexity buys us productivity. The vast majority of software will be AI generated, tools will exist to continuously test/refine it, and hand written code will be for artists, hobbyists, and an ever shrinking set of hard problems where a human still wins.

He's alluded to thinking that Asians and Indians are "better" on some metrics so supremacy still seems a bit sensationalist. He certainly doesn't think all races are equal.

This is temporary. AI models have their own Moore's law. Yes the mega corps will have the best models but soon enough what is currently SOTA will be open source and run on your own local machine if you want.

the mega corps are getting all of us and the investors to fund the RnD.

This just seems like an engineered pipeline of existing GenAI to get a 3d procedurally generated world that doesn't even look SOTA. I'm really sorry to dunk on this for those that worked on it, but this doesn't look like progress to me. The current approach looks like a dead end.

An end-to-end _trained_ model that spits out a textured mesh of the same result would have been an innovation. The fact that they didn't do that suggests they're missing something fundamental for world model training.

The best thing I can say is that maybe they can use this to bootstrap a dataset for a future model.

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A valid rationalization but never an excuse. At some point the buck has to stop being passed around. Standing up to all instances of violence is the only way to stop the endless cycles.

Pixi has also been such a breathe of fresh air for me. I think it's as big of a deal as UV (It uses UV under the hood for the pure python parts).

It's still very immature but if you have a mixture of languages (C, C++, Python, Rust, etc.) I highly recommend checking it out.

Well you should tell that to Dell because I have coworkers with a range of their models that are constantly fighting with webcams, audio, bluetooth, wifi, and Nvidia driver updates.

I used to be in this camp until I tried and bought an M1 Macbook as my daily driver. I thought I was going to be Thinkpad/XPS w/ Linux until I die. I don't love MacOS but POSIX is mostly good enough for me and the hardware is so good that I'm willing to look past the shortfalls.

Seriously I would love to switch back to a full-time Linux distro but I'm more interested in getting work done and having a stable & performant platform. Loosing a day of productivity fixing drivers and patching kernels gets old. The M-series laptops have been the perfect balance for me so far.