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#ThoughtProvoker :blobhyperthink:

Is it possible that while we are fiercely opposed to #AI and how this highly disruptive technology is just introduced everywhere in #society without a second thought (ignoring all the voices that advocate responsible use) ..

Is it possible that maybe with decentralized #SocialWeb technology with semantically meaningful #machine-readable services, we are creating the tech that'll bring AI up to our skin, into our very pores?

Is social web merely #technology?

(11 Jul) AI therapy bots fuel delusions and give dangerous advice, Stanford study finds

s.faithcollapsing.com/i46py

Archive: ais: archive.md/wip/BLlN8 ia: s.faithcollapsing.com/ywpww

#7cups #ai #ai-behavior #ai-ethics #ai-regulation #ai-safety #ai-sycophancy #biz-&-it #character.ai #chatgpt #clinical-psychology #delusions #jared-moore #machine-learning #mental-health #nick-haber #openai #science #stanford-university #stigma #suicidal-ideation #therapy

Replied in thread

@rachel The point of #NixOS is to #bootsrap and #customize things. So that ur #configurations become #portable and works on everyone's #machine. In this sense #Bazzite, #SteamOS all can just do their own configurations, kernels etc in the Nix way. So comparing NixOS with Bazzite or anything else is not the right way.
For example, u can produce Bazzite, #Arch whatever with #Nix. Because NixOS is just a #declarative configuration by using #Nix.

Replied in thread

@Em0nM4stodon
My #NixOS #setup. Even when I #ported it once to #another #machine, I #forgot to add the #user #password. So I kind of went into a #ghost user #session. All i did is #reboot and chose previous #generation corrected my #config and that's all. No need for #backup, #rescue #disk etc. I corrected my configs, now it's truly portable. All my setup is #rock #solid #stable and never #broke it though I use a lot of #unstable #packages. #Nix and #NixOS are just 🔥 ❤️

WorldVLA: Towards Autoregressive Action World Model

arxiv.org/abs/2506.21539

arXiv.orgWorldVLA: Towards Autoregressive Action World ModelWe present WorldVLA, an autoregressive action world model that unifies action and image understanding and generation. Our WorldVLA intergrates Vision-Language-Action (VLA) model and world model in one single framework. The world model predicts future images by leveraging both action and image understanding, with the purpose of learning the underlying physics of the environment to improve action generation. Meanwhile, the action model generates the subsequent actions based on image observations, aiding in visual understanding and in turn helps visual generation of the world model. We demonstrate that WorldVLA outperforms standalone action and world models, highlighting the mutual enhancement between the world model and the action model. In addition, we find that the performance of the action model deteriorates when generating sequences of actions in an autoregressive manner. This phenomenon can be attributed to the model's limited generalization capability for action prediction, leading to the propagation of errors from earlier actions to subsequent ones. To address this issue, we propose an attention mask strategy that selectively masks prior actions during the generation of the current action, which shows significant performance improvement in the action chunk generation task.