Right now LLMs only have text, images, and videos to train from. Anything it understands about physics is from an abstract level. It's like learning how to calculate throwing a baseball before you've ever even thrown a baseball. Imagine having to learn force = mass x acceleration before you've even picked up a ball.

What this world generation Google is doing appears to be something Nvidia has spoken about too. Letting LLMs/AI learn from a world physics simulation. Meaning LLMs having the opportunity to "experience" physics, the same way you intuitively know how to throw a ball after attempting a few times yourself.

If an LLM can better understand how our real world works the quality of its output improves -- theoretically.

As far as your taxes go, you can create an intelligent workflow right now to do that for you. Don't need AGI for that.

Self-harm isn't moral or amoral, it just is. It's as moral or amoral as deciding if you should or shouldn't eat another animal (yes, this includes humans -- Donner party anyone?).

Life isn't black and white. Where I've landed with this thought experiment through my own meditations and readings is that the universe/reality is a recursive fractal of spectrums within spectrums.

And this is just scratching the surface of this stuff.

I don't live in a world where I need to be constantly reading and replying to emails, so 95% of my inbox is just subscription spam. With development I need to be at the helm to design the planning requirements and actively make decisions before the agent goes off and executes the plan. But I don't need a personal agent for that, I work directly out of codex/claude-code.

I am currently building 4 projects at the same time using a boilerplate I developed for my own projects.

One thing many people who are new to agentic coding harnesses may be missing is that a lot of workflows are personal to how the developer approaches design and implementation. So if you message me, please keep in mind that my approach may not align with how you approach software development.

That said, I will do my best to abstract my process so it's applicable for your work. I would also recommend reading OpenAI's article on harness engineering: https://openai.com/index/harness-engineering/

DMs are open if you genuinely want to know how I work :)

DISCORD: jayeeeffeff

A lot of you don't want to hear it but this is a user issue.

At least, that's how I code through my phone. But it does require some forethought in establishing your automated workflows. I'm at the point where my entire dev system has established templates for CI/CD so I can preview work in staging and production is still a manual step (obviously).

And I mean this for any sort of system from corporate, nonprofits, dictatorships, oligarchs, and democracy. Democracy is still a human-run system and that people seem to think democracy is somehow this bastion of freedom is a delusion.

If we want better systems we need better people running them, but that's a conversation that's emerging so we'll see how it goes.

The cycle continues.

I'm not being a hater, I love Opus for different reasons, but I can't rely on it for its technical ability.

Opus otoh is overrated in terms of its technical ability. It is certainly a better designer/developer for beautiful user experiences, but I'll always lean on gpt 5.5 to check its work.

The biggest surprise in the benchmark is Xiao-Mi. I haven't tried it yet, but I will be after looking at this.

Grats on your team for putting together something meaningful to make sense of the ongoing AI speedrun! Great work!

And it's not a matter of not liking the alternative. Like I said, I used to believe that consciousness was an emergent trait of complex systems, but I had what some call a "spiritual awakening" and I saw what was on the other side.

It's kind of like describing pizza to someone who's never eaten pizza. You could try and describe it by asking if they'd eaten cheese or bread or tomato sauce before and then go "imagine all of those combined". It's not the same as actually having eaten it. But this is heading into a different, albeit related territory.