Tootfinder

so i wondered what on earth does "ACME" mean https://en.wiktionary.org/wiki/acme#Noun

My _request_ is that we stop using "ask" as a noun.

The gop controls the House, Senate, and the White House. It is their government.
If the government shuts down or the government stays open, that is on the gop.
#USpol

bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted

Definition: DESPOT
noun ['despət,ˈdesˌpät]:
a ruler or other person who holds absolute power, typically one who exercises it in a cruel or oppressive way
"acting illegally would give the despot an excuse to justify his criminality"
See:
#autocrat #dictator…

bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted

The description of the policy of Trump and the MAGA regime:

bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted

German has a unique problem: the default noun for any job is male. Every effort to include the female or neutral form is fought tooth and nail by conservative parties. So when a mayor was forced to remove the mention of both genders in the statute for firefighters.... he kept just the female form of every job title 😈
"That's not what we meant!" the city council is now crying. "Not every person is female, after all!" they lament without noticing the irony.
…

Was watching a talk by Sarah Wilson at TEDxSydney: "How to respond to a societal collapse"
Takeaway: If you're looking for an alternate word for "clusterfuck" (like if you're doing an RCA for US-EAST-1) I'm here to share that with you.
#ClusterFuck #Metacrisis

bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted

Basis Vector Metric: A Method for Robust Open-Ended State Change Detection
David Oprea, Sam Powers
https://arxiv.org/abs/2509.07308 https://arxiv.org/pdf/2…

Basis Vector Metric: A Method for Robust Open-Ended State Change Detection
We test a new method, which we will abbreviate using the acronym BVM (Basis Vectors Method), in its ability to judge the state changes in images through using language embeddings. We used the MIT-States dataset, containing about 53,000 images, to gather all of our data, which has 225 nouns and 115 adjectives, with each noun having about 9 different adjectives, forming approximately 1000 noun-adjective pairs. For our first experiment, we test our method's ability to determine the state of each n…

bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted

bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted

The only Irish learning app I really need is Mastodon 💖
https://mastodon.online/@caoimhin/115343150517678972

bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted

Even terrorism is subject to inflation, as accusations of people for simply having an opposing opinion prove.

EgoPrompt: Prompt Pool Learning for Egocentric Action Recognition
Huaihai Lyu, Chaofan Chen, Yuheng Ji, Changsheng Xu
https://arxiv.org/abs/2508.03266 https://

EgoPrompt: Prompt Pool Learning for Egocentric Action Recognition
Driven by the increasing demand for applications in augmented and virtual reality, egocentric action recognition has emerged as a prominent research area. It is typically divided into two subtasks: recognizing the performed behavior (i.e., verb component) and identifying the objects being acted upon (i.e., noun component) from the first-person perspective. However, most existing approaches treat these two components as independent classification tasks, focusing on extracting component-specific …

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
Deniz Bayazit, Aaron Mueller, Antoine Bosselut
https://arxiv.org/abs/2509.05291

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
Large language models (LLMs) learn non-trivial abstractions during pretraining, like detecting irregular plural noun subjects. However, it is not well understood when and how specific linguistic abilities emerge as traditional evaluation methods such as benchmarking fail to reveal how models acquire concepts and capabilities. To bridge this gap and better understand model training at the concept level, we use sparse crosscoders to discover and align features across model checkpoints. Using this…