Tootfinder

Cloudflare will now block AI crawlers by default
The internet architecture provider will also let some publishers make known AI scrapers pay to crawl their sites
https://www.theverge.com/news/695501/cloudflare-block-ai-crawlers-default

Cloudflare will now block AI crawlers by default
Cloudflare has announced that it will now block AI web crawlers by default for new customers. It’s also introducing a new “Pay Per Crawl” fee that will let some publishers make AI companies pay to scrape their content.

Meta expands voice calls on WhatsApp to large businesses and explores AI-powered product recommendations for merchants' sites (Ivan Mehta/TechCrunch)
https://techcrunch.com/2025/07/01/meta-adds-busines…

Meta adds business voice calling to WhatsApp, explores AI-powered product reccomendations | TechCrunch
WhatsApp is adding more AI features to its business suite. The company on Tuesday announced it's introducing the ability for large businesses to reach

👀
https://www.theverge.com/news/695501/cloudflare-block-ai-crawlers-default

Cloudflare will now block AI crawlers by default
Cloudflare has announced that it will now block AI web crawlers by default for new customers. It’s also introducing a new “Pay Per Crawl” fee that will let some publishers make AI companies pay to scrape their content.

Hey @…, how’s this for a CC signal for AI, you clowns?
🖕
https://creativecommons.org/2025/06/25

Introducing CC Signals: A New Social Contract for the Age of AI - Creative Commons
CC Signals © 2025 by Creative Commons is licensed under CC BY 4.0 Creative Commons (CC) today announces the public kickoff of the CC signals project, a new preference signals framework designed to increase reciprocity and sustain a creative commons in the age of AI. The development of CC signals represents a major step forward…

Google is quite agressive with Gemini CLI , offering 1000 free Gemini 2.5 Pro requests per day for individual users. Essentially trying to push Anthropic and OpenAI away.
https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-age…

Gemini CLI: your open-source AI agent
Free and open source, Gemini CLI brings Gemini directly into developers’ terminals — with unmatched access for individuals.

The writing that Creative Commons is also "AI"-pilled has been on the wall for a while, and here we are are, wasting time and money on some useless signalling to "AI" scrapers that already don't care for any existing limitations…
https://creativecommons.org/2025/06/25/introducing-cc-signals-a-new-social-contract-for-the-age-of-ai/

#Devstral, introducing the best #OpenSource model for #codingagents.

This https://arxiv.org/abs/2502.16644 has been replaced.
link: https://scholar.google.com/scholar?q=a

Mapping out AI Functions in Intelligent Disaster (Mis)Management and AI-Caused Disasters
This study maps the functions of artificial intelligence in disaster (mis)management. It begins with a classification of disasters in terms of their causal parameters, introducing hypothetical cases of independent or hybrid AI-caused disasters. We then overview the role of AI in disaster management and mismanagement, where the latter includes possible ethical repercussions of the use of AI in intelligent disaster management (IDM), as well as ways to prevent or mitigate these issues, which inclu…

Kontext: https://creativecommons.org/2025/06/25/introducing-cc-signals-a-new-social-contract-for-the-age-of-ai/

MAEBE: Multi-Agent Emergent Behavior Framework
Sinem Erisken (Independent Researcher), Timothy Gothard (Independent Researcher), Martin Leitgab (Independent Researcher), Ram Potham (Independent Researcher)
https://arxiv.org/abs/2506.03053

MAEBE: Multi-Agent Emergent Behavior Framework
Traditional AI safety evaluations on isolated LLMs are insufficient as multi-agent AI ensembles become prevalent, introducing novel emergent risks. This paper introduces the Multi-Agent Emergent Behavior Evaluation (MAEBE) framework to systematically assess such risks. Using MAEBE with the Greatest Good Benchmark (and a novel double-inversion question technique), we demonstrate that: (1) LLM moral preferences, particularly for Instrumental Harm, are surprisingly brittle and shift significantly …

Using Generative AI in Software Design Education: An Experience Report
Victoria Jackson, Susannah Liu, Andre van der Hoek
https://arxiv.org/abs/2506.21703 …

Using Generative AI in Software Design Education: An Experience Report
With the rapid adoption of Generative AI (GenAI) tools, software engineering educators have grappled with how best to incorporate them into the classroom. While some research discusses the use of GenAI in the context of learning to code, there is little research that explores the use of GenAI in the classroom for other areas of software development. This paper provides an experience report on introducing GenAI into an undergraduate software design class. Students were required to use GenAI (in …

Creative Commons jumps the shark.
*smdh*
#AI #CreativeCommons https://mastodon.social/@creativeco…

[Thread] Cluely unveils a desktop AI assistant that it says can help users cheat on meetings, sales, lectures, interviews, learning new software, and more (Roy/@im_roy_lee)
https://x.com/im_roy_lee/status/1938718987975827651

Roy (@im_roy_lee) on X
introducing @cluely. today is the start of a world where you never have to think again. we just killed 9 industries (thread):

Critically-Damped Higher-Order Langevin Dynamics
Benjamin Sterling, Chad Gueli, M\'onica F. Bugallo
https://arxiv.org/abs/2506.21741 https://

Critically-Damped Higher-Order Langevin Dynamics
Denoising Diffusion Probabilistic Models represent an entirely new class of generative AI methods that have yet to be fully explored. Critical damping has been successfully introduced in Critically-Damped Langevin Dynamics (CLD) and Critically-Damped Third-Order Langevin Dynamics (TOLD++), but has not yet been applied to dynamics of arbitrary order. The proposed line of work generalizes Higher-Order Langevin Dynamics (HOLD), a recent state-of-the-art diffusion method, by introducing the concept…

In the #ISE2025 lecture today we were introducing our students to the concept of distributional semantics as the foundation of modern large language models. Historically, Wittgenstein was one of the important figures in the Philosophy of Language stating thet "The meaning of a word is its use in the language."

Tensor Manipulation Unit (TMU): Reconfigurable, Near-Memory Tensor Manipulation for High-Throughput AI SoC
Weiyu Zhou, Zheng Wang, Chao Chen, Yike Li, Yongkui Yang, Zhuoyu Wu, Anupam Chattopadhyay
https://arxiv.org/abs/2506.14364

Tensor Manipulation Unit (TMU): Reconfigurable, Near-Memory Tensor Manipulation for High-Throughput AI SoC
While recent advances in AI SoC design have focused heavily on accelerating tensor computation, the equally critical task of tensor manipulation, centered on high,volume data movement with minimal computation, remains underexplored. This work addresses that gap by introducing the Tensor Manipulation Unit (TMU), a reconfigurable, near-memory hardware block designed to efficiently execute data-movement-intensive operators. TMU manipulates long datastreams in a memory-to-memory fashion using a RIS…

I'm not shocked that Musk would try to manipulate Grok to vent his opinions. We've seen his manipulation before in the twitter recommender system.
I am kind of fascinated by how difficult it is. I think that broadly trained LLMs tend to converge to the same "worldview", which is mostly left-libertarian.
You can't really force them away from this on one issue without introducing inconsistencies, and breaking the guardrails.

IndoorWorld: Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment
Dekun Wu, Frederik Brudy, Bang Liu, Yi Wang
https://arxiv.org/abs/2506.12331

IndoorWorld: Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment
Virtual environments are essential to AI agent research. Existing environments for LLM agent research typically focus on either physical task solving or social simulation, with the former oversimplifying agent individuality and social dynamics, and the latter lacking physical grounding of social behaviors. We introduce IndoorWorld, a heterogeneous multi-agent environment that tightly integrates physical and social dynamics. By introducing novel challenges for LLM-driven agents in orchestrating …