Lego has the resources to take on the AI labs infringing their copyright, but they're instead choosing to ignore it. From where I'm standing, it doesn't seem like they care very much.
This sounds a tad misanthropic, if I had the choice to opt out of working full time making music is one of the primary things I'd spend my time doing. I like software but at the end of the day to me it's the most creative job I can do while still putting bread on my table reliably.
The reasons I don't do music full time are purely economic ones, far from wanting to 'free up' my time to do other things with AI music I'd rather have more of my time occupied by working on music. I want AI to automate the things I don't want to do, I want it to automate the mindless drudgery that is required to exist in a society. Automating art so that I have more time to work is a philistine position in my view, and one which reveals a somewhat dystopian vision of humanity's relationship with both art and work.
I'm waiting for Anthropic to realise they can just set a few thousand agents loose to do just that, and monopolize the entire software market overnight. I'm not sure why they haven't done this yet.
When people talk about the 'plateau of ability' agents are widely expected to reach at some point, I suspect a lot of it will boil down to skyrocketing costs and plummeting accuracy past a certain point of number of agents involved. This seems to me like a much harder limit than context windows or model sizes.
Things like Gas Town are exploring this in what you might call a reckless way; I'm sure there are plenty of more careful experiments being conducted.
What I think the ultimate measure of this new tech will be is, how simple of a question can a human put to an LLM group for how complex of a result, and how much will they have to pay for it? It seems obvious to me there is a significant plateau somewhere, it's just a question of exactly where. Things will probably be in flux for a few years before we have anything close to a good answer, and it will probably vary widely between different use cases.
Because a lot of valuable software is the implicit / organizational / human domain knowledge .. not the trillions of lines of code LLms all scraped and trained on.
Ive heard someone saying that, Microsoft or Oracle already has hundreds of those 10x engineers for decades now, and what they produce is... current Microsoft and Oracle.
I honestly don't know why this guy is hiring Alice and Bob in the first place, instead of just running two agents. He seemed to be saying it's to invest in them as people, but why? What is the end goal? If the end goal is to produce research, then just get the agents to do it.
You need to learn how to practice. Anthony Jones has a video called "how to study better", where he walks you through his process. It's directed at concept artists rather than pixel artists but the same principles apply. I'd suggest watching it.
The scammer sounds Australian, but he pronounces mobile as "mobil", like an American. I wonder if he's doing that intentionally to provide cover, or if he's worked with Americans so much in the past that it's changed his pronunciation.
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