A2A solves the problem of independently developed agents talking to each other. The bigger problem is "how do i trust your agent works?", which would be solved by having a believable system of Agent Evals, so I could test that your Agent actually does what it says on the box. Otherwise an Agent Directory and automatic dispatch of agents is close to useless.
That way when someone screws up and your AWS account gets owned, or your databases get deleted by an agent, it doesn't have enough access to delete your backups, and by default, even if you have backups that you want to intentionally delete, you have 30 days to change your mind.
Sure, but you then can't access the computronium, because communication is so bad.
Also, I wonder if good old-fashioned computing is interesting at all to a civilization that's had access to advanced AI and quantum computing for a while.
Like we haven't really figured out how to get an ML model to run on a quantum computer, or how to build a quantum-native computer (i.e. surface of a black hole, or some other way that doesn't rely on our current sense of quantum error correction), but I don't know of any physical laws that preclude it.
I'd bet if aliens invaded our galaxy, they'd go for the super black holes in the center, or some other resource beyond our use and understanding, not this random water planet on the edge.
I mean you can use sqlite as an index and then rebuild all of Lucene on top of it. It's non-trivial to build search quality on top of actual search libraries too.
O'Reilly's "Relevant Search" isn't the worst here, but you'll be porting/writing a bit yourself.
Does anyone know how much the cost-per-token is trending down year-over-year for models of similar quality? Seems like whether this idea works really depends on that curve.
The goal of post-modern society is to create wealth without additional energy costs.
If I write software that schedules health care more efficiently, I've created value and therefore wealth. If I make a video game that's more fun than the previous generation of games, likewise.
I tend to look at consciousness as a spectrum. And when we reduce it to a binary (is it conscious?), we're actually asking whether it meets some minimum threshold of whatever the smallest creature you have empathy for is.
So yeah, Claude Code is more conscious than raw GPT. And both probably less than my dog.
Definitely, iff you have to provide the context with every task. If agent memory worked better and across your whole team, then providing context might be much easier
I read the article, and I'm struggling to see what ideas it brings beyond CodeAct (tool use is python) or the "task" tool in Claude code (spinning off sub-agents to preserve context).