Tootfinder

The US is rapidly moving from a powerful nation to merely a geographic region on a map. The American dance card will, I predict, begin with something like this...
1. trump will get ever more frustrated by "lack of other countries being loyal" an Iran's continued ability to resist (e.g. even if mining the straights with floating wooden blocks that look like real mines.)
2. US gasoline prices double - going over $10/gallon in some places.
3. trump [and hogsbreat…

My moment of clarity in the last few weeks was coming back to “Oh right, copyright is a hack, and one that is not serving us, particularly us on the margins”
The moral rights of authorship and the way we situate our legal process of ownership are, actually, kinda at odds. And it entirely misses the idea of a commons, both as community and as a cultural base to draw from.
I've long believed that we, collectively, should own our culture — to have modern myths be Copyright 1972 LucasFilm, the traditional songs we sing Copyright 1922, now owned by Warner/Chappell Music is one of the things I find repugnant about the situation we find ourselves in.
That said, reconciling that with the behavior of the AI companies, _particularly_ the American ones? It's hard. Google abuses its monopoly position; Microsoft has forced harmful and terrible tooling on people at every turn; OpenAI is run by someone who actively despises art and does not understand it; and Anthropic is run by a guy who is trying to make sure the apocalypse has a pleasant demeanor and doesn't offend any corporations on the way. All of the above have scraped the web with no active consent — and that's largely fine, that's what putting things in common _is_, that's the beauty of the open information world we have the remnants of — but also actively evading measures people put in place to stop it and with absolutely no willingness to engage with the process. Extracting from the commons _is_ the tragedy of the commons.
It does not mean that enlarging the commons with the resulting tools is bad. The doctrine of original sin is a Christian concept I do not subscribe to. The concept of 'fruit of the poisonous tree' is a legal tool to fix power relations not a moral stance. They're worth understanding, but they are not absolute moral stances that are self-evident.
These are not harmless tools, but so too putting hard regulation and corporate, legalistic scrutiny on everything has a vastly negative impact: it is a yoke on human creativity and community to the reins of capital.
And, so too, disruption has huge costs. We are, apparently, committed to doing things the worst possible way. One can just hope that we capture the good too, because the ride has started and it's rather late to get off.

“My father warned us, ‘When evil men plot, good men must plan. When evil men burn and bomb, good men must build and bind,’” Bernice King, the daughter of the Rev. Dr. Martin Luther King Jr., wrote of Pretti’s murder. “What we are witnessing now (masked raids, people taken without due process, vigilante, Gestapo, and slave patrol-like tactics, normalized under the color of law) is a moral crisis.”
#Trump

Alex Pretti’s ICE murder is beyond politics. This is about good vs. evil
Trump's inhumane immigration raids and two ICE murders has triggered an American yearning for a return to morality.

Probing Dec-POMDP Reasoning in Cooperative MARL
Kale-ab Tessera, Leonard Hinckeldey, Riccardo Zamboni, David Abel, Amos Storkey
https://arxiv.org/abs/2602.20804 https://arxiv.org/pdf/2602.20804 https://arxiv.org/html/2602.20804
arXiv:2602.20804v1 Announce Type: new
Abstract: Cooperative multi-agent reinforcement learning (MARL) is typically framed as a decentralised partially observable Markov decision process (Dec-POMDP), a setting whose hardness stems from two key challenges: partial observability and decentralised coordination. Genuinely solving such tasks requires Dec-POMDP reasoning, where agents use history to infer hidden states and coordinate based on local information. Yet it remains unclear whether popular benchmarks actually demand this reasoning or permit success via simpler strategies. We introduce a diagnostic suite combining statistically grounded performance comparisons and information-theoretic probes to audit the behavioural complexity of baseline policies (IPPO and MAPPO) across 37 scenarios spanning MPE, SMAX, Overcooked, Hanabi, and MaBrax. Our diagnostics reveal that success on these benchmarks rarely requires genuine Dec-POMDP reasoning. Reactive policies match the performance of memory-based agents in over half the scenarios, and emergent coordination frequently relies on brittle, synchronous action coupling rather than robust temporal influence. These findings suggest that some widely used benchmarks may not adequately test core Dec-POMDP assumptions under current training paradigms, potentially leading to over-optimistic assessments of progress. We release our diagnostic tooling to support more rigorous environment design and evaluation in cooperative MARL.
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