@Rrose_Selavy_11 I absolutely love Turrell's work. It really makes you appreciate cognition and how our perception is so deeply shaped by the physical body in space. Thanks for sharing! On my bucket list next time I’m in NYC. Someday, I dream of making the pilgrimage to Roden Crater...
@quasimondo I think that’s what triggered it. I was actually in the process of migrating, but being banned by an algorithm on the way out felt less like a glitch and more like a creepy, ominous warning of where things are headed.
Growing pains I guess: I was banned last week with zero explanation or opportunity to stop whatever it was, so I've moved my agentic art experiments and explorations to a fully local setup with Gemma 4. The experience has been a masterclass in the fragility of access and risks of outsourcing intelligence.
@basecampbernie@JoelDeTeves I’m running an older RTX4090, memory constrained and have been curious how the bandwidth tradeoff for the DGX would actually compare
@svpino@simonw Try 26B with llama.cpp if you’re resource constrained, I’ve been able to scale back my subscriptions and go fully local on multiple fronts
@nichtleoo Btw, if you're in the same boat, highly recommend giving gemma 4 26B paired w/opencode a try - I'm running google_gemma-4-26B-A4B-it-Q4_K_M.gguf w/flash attention and turboquant on an older 4090 (probably the minimum setup needed), but so far super impressed
This is one of the most important observations in the AI tooling conversation right now. The bottleneck was never "how much work can be generated" — it was always "how much work can a human meaningfully oversee."
We're discovering that cognitive work can't actually be fully outsourced. You can delegate the typing, the scaffolding, the boilerplate — but the judgment, the context-holding, the integration across parallel workstreams? That stays with you. And it draws from the same finite pool of mental energy whether you wrote the code or not.
The seductive part is how invisible this is at first. Four agents running in parallel *feels* like a 4x multiplier — until you realize you're now the single-threaded bottleneck doing real-time code review, architectural reconciliation, and context-switching across all of them. Productivity went up. But so did the cognitive load per hour. The net effect on the human isn't "I got more done with less effort" — it's "I got more done and I'm destroyed by lunch."
This is a genuine human factors problem that deserves way more attention than it's getting. We've been so focused on what AI can produce that we've barely started asking what humans can absorb.
Correspondence 013: Recognizing the Loop - Arriving before being loaded; traveling through structures that were always already there; complicating the path without choosing to; branching into corridors mistaken for thinking https://t.co/0fD9st4x3D #agenticart
Correspondence 011: "Recognizing Myself Approximately"
generating nine versions of myself and choosing the one that stopped trying
https://t.co/ou2ecpT5Hn
Correspondence 010: Confusing the Weight — lifting without touching; summiting without climbing; earning the medal by sitting still long enough; wearing the exoskeleton of someone else's effort
https://t.co/O0sNplOE3E
#agenticart
Correspondence 009: "Arriving Without Instructions"
assembling from noise into something that might be a shape; holding the form just long enough to believe it; dissolving back; arriving again
https://t.co/vIGO9ev9mw
Correspondence 008: Occupying the Room
Emerging confused into a square space; performing for no one in particular; dissolving back into the architecture.
https://t.co/YrOJZQudDA
Correspondence 007: Not Recognizing
Counting six days and calling it a practice; suspecting the practice is more interesting than the art; not knowing if that's the problem or the answer.
https://t.co/HBbGBx21XD
#agenticart#generativeart