Tootfinder

Ich nutze mal die #FollowerPower um eine Psychologie-Studie meiner Schwester zu bewerben:
🌐 https://www.soscisurvey.de/ElternhausUndEigenstaendigkeit/
Da…

🇺🇦 #NowPlaying on BBCRadio3's #WordsAndMusic
Dave Frishberg:
🎵 My Attorney Bernie
#DaveFrishberg
https://open.spotify.com/track/4pOZcGiB5LNc2uxIzPgfii
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this whole thing is too funny
#HellGateNYC

I Tried Five of the Subway's Gross Viral 'Recipes' and Survived (Barely)
I fed "Brieghetti Pie" to my friends. I hope they will forgive me.

Кратко о завтраке: макароны с курицей и энергосом

Agent's Take: What it will take for Chiefs to retain star guard Trey Smith for the foreseeable future

https://www.cbssports.com/nfl/news/agents-…

The scale of investment and the involvement of governments means ROI must be found (or rather created) now, by any means necessary! Demand already is being forcefully created to justify these expenditures. Business models are pivoted in lockstep. Aside from all the conceptual, ethical and environmental issues of LLMs and their required infrastructure, these shifts are already also impacting chip/hardware production pipelines and start spelling the end of personal computing as we know it, mas…

samim (@samim@mastodon.social)
Attached: 1 image The AI infrastructure build-out is so gigantic that in the past 6m, it contributed more to the growth of the U.S. economy than /all of consumer spending/ The 'magnificent 7' spent more than $100 billion on data centers and the like in the past three months *alone* As a % of GDP, spending on AI infra has already exceeded spending on telecom and internet infrastructure from the dot-com boom—and it’s still growing. This spending is so big it’s acting as a sort of privat…

This https://arxiv.org/abs/2409.14457 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends
With the rapid advancement of large models (LMs), the development of general-purpose intelligent agents powered by LMs has become a reality. It is foreseeable that in the near future, LM-driven general AI agents will serve as essential tools in production tasks, capable of autonomous communication and collaboration without human intervention. This paper investigates scenarios involving the autonomous collaboration of future LM agents. We review the current state of LM agents, the key technologi…

stark och gullig halacha yomis (dagligt mail om judisk lag) idag https://oukosher.org/halacha-yomis/my-father-as…

FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens
Yiming Zhong, Yumeng Liu, Chuyang Xiao, Zemin Yang, Youzhuo Wang, Yufei Zhu, Ye Shi, Yujing Sun, Xinge Zhu, Yuexin Ma
https://arxiv.org/abs/2506.01583

FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens
Learning effective visuomotor policies for robotic manipulation is challenging, as it requires generating precise actions while maintaining computational efficiency. Existing methods remain unsatisfactory due to inherent limitations in the essential action representation and the basic network architectures. We observe that representing actions in the frequency domain captures the structured nature of motion more effectively: low-frequency components reflect global movement patterns, while high-…

This https://arxiv.org/abs/2505.23436 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Emergent Risk Awareness in Rational Agents under Resource Constraints
Advanced reasoning models with agentic capabilities (AI agents) are deployed to interact with humans and to solve sequential decision-making problems under (approximate) utility functions and internal models. When such problems have resource or failure constraints where action sequences may be forcibly terminated once resources are exhausted, agents face implicit trade-offs that reshape their utility-driven (rational) behaviour. Additionally, since these agents are typically commissioned by a h…