Tootfinder

34 facts to learn about Ukraine this Independence Day: https://benborges.xyz/2025/08/24/facts-to-learn-about-ukraine.html

Big Facts: Pickens is top-6 when targeted 10 times https://www.dallascowboys.com/news/big-facts-pickens-is-top-6-when-targeted-10-times

Memento: Note-Taking for Your Future Self
Chao Wan, Albert Gong, Mihir Mishra, Carl-Leander Henneking, Claas Beger, Kilian Q. Weinberger
https://arxiv.org/abs/2506.20642

Memento: Note-Taking for Your Future Self
Large language models (LLMs) excel at reasoning-only tasks, but struggle when reasoning must be tightly coupled with retrieval, as in multi-hop question answering. To overcome these limitations, we introduce a prompting strategy that first decomposes a complex question into smaller steps, then dynamically constructs a database of facts using LLMs, and finally pieces these facts together to solve the question. We show how this three-stage strategy, which we call Memento, can boost the performanc…

Trump can't handle Powell , Powell is clearly not afraid of Trump and corrects him in public when he tries to distort the facts.
https://www.cnn.com/2025/07/24/business/powell-trump-feud?utm_source=flipboard&utm_medium=activity…

Trump and Powell’s feud just exploded into the public. And then Trump backed off
President Donald Trump, after a tour of the Fed’s $2.5 billion renovation, said he didn’t want to fire Federal Reserve Chair Jerome Powell because of the plan’s cost overruns.

I translated bondi's statement into what she meant:
#USpol #satire #Comey

As a marketer by profession I feel this very deeply and struggle to find a way to communicate to fellow people on the left that the methods and tools for communicating messages and persuading masses of people SHOULD be used, as effectively as possible, to promote facts and values we align with.
I get that power is uncomfortable when so many parties visibly abuse it for malicious purposes.
But power in and of itself is a tools that needs to be wielded, and we should be cognizant about targeting it at changes that will improve our societies and help us and the planet.
Yes, don’t use power blindly. Don’t manipulate people. But using persuasive, effective tactics for mass communication to educate people on the truth and get them aboard initiatives that will help them??? Why is that evil?
It feels like the left sees power, influence, and thus marketing / PR / propaganda as too black-and-white. We need to be comfortable in navigating the grey. https://sauropods.win/@futurebird/114913847088444610

Seeking a distraction from his current political travails,
Donald Trump is attempting to relitigate the nearly decade-old controversy over Russian involvement in the 2016 election.
Trump claims that President Barack Obama committed treason,
-- a crime that may be punishable by death.
Trump is wrong on the facts and the law,
and his sensational allegation serves only to demonstrate how completely he has degraded contemporary political discourse.

Opinion | The Line Trump Crossed by Accusing Obama of Treason
President Trump’s history of intemperate remarks has earned him a perverse kind of immunity; the more outrageous his statement, the faster it is often dismissed.

Fast Facts: Get to know safety Jamal Adams https://www.raiders.com/news/jamal-adams-facts-get-to-know-nfl-transactions-raiders-training-camp

MedOmni-45{\deg}: A Safety-Performance Benchmark for Reasoning-Oriented LLMs in Medicine
Kaiyuan Ji, Yijin Guo, Zicheng Zhang, Xiangyang Zhu, Yuan Tian, Ning Liu, Guangtao Zhai
https://arxiv.org/abs/2508.16213

MedOmni-45°: A Safety-Performance Benchmark for Reasoning-Oriented LLMs in Medicine
With the increasing use of large language models (LLMs) in medical decision-support, it is essential to evaluate not only their final answers but also the reliability of their reasoning. Two key risks are Chain-of-Thought (CoT) faithfulness -- whether reasoning aligns with responses and medical facts -- and sycophancy, where models follow misleading cues over correctness. Existing benchmarks often collapse such vulnerabilities into single accuracy scores. To address this, we introduce MedOmni-4…

At an AI summit, President Trump says he considered breaking up Nvidia before aides told him that doing so was "very hard" and "I learned the facts here" (Annmarie Hordern/Bloomberg)
https://www.bloomberg.com/news/articles/20

That's exactly my reaction, screamer...
cc @…

Science Lab: ‘Maybe’ can’t be a strategy for Cowboys' wins https://www.dallascowboys.com/news/science-lab-maybe-can-t-be-a-strategy-for-cowboys-wins

In 2020, Scotland generated 32TWh of electricity from wind alone.
https://www.scottishrenewables.com/our-industry/statistics
In 2023, Scotland consumed 21.8TWh of electricity in total.

Renewable Energy Facts & Statistics | Scottish Renewables
Scotland's renewable energy sector in numbers. Scotland’s renewable energy sector is growing and developing year-on-year. Discover facts, statistics and figures from Scotland's renewable energy sector.

Why Facts Don’t Change Minds in the Culture Wars—Structure Does
https://vasily.cc/blog/facts-dont-change-minds/

Why Facts Don’t Change Minds in the Culture Wars—Structure Does
Why do facts bounce off some people? It’s not about logic; it’s about structure. Your worldview isn’t a list of opinions—it's a living network. And right now, it's at war.

Fact checkers have their hands full trying to sort out the few facts from all the lies and fakes.
Darth #Trump
#UNSpeech

Here's some quick facts on female physicians in Canada. One that stands out - Two thirds (64%) of family physicians under age 35 are female.
https://www.cma.ca/quick-facts-canadas-physicians

ALMA FACTS III. High-Resolution CO(2-1)/CO(1-0) Maps of Twelve Nearby Galaxies
Amanda M Lee, Jin Koda, Fumi Egusa, Akihiko Hirota, Shinya Komugi, Fumiya Maeda, Tsuyoshi Sawada
https://arxiv.org/abs/2507.13498

ALMA FACTS III. High-Resolution CO(2-1)/CO(1-0) Maps of Twelve Nearby Galaxies
We present early results from a high-resolution analysis ($\sim$100-200pc) of the CO(2-1)/CO(1-0) line ratio in twelve nearby galaxies. We use new ALMA CO(1-0) observations from the Fundamental CO(1-0) Transition Survey (FACTS), and re-imaged CO(2-1) data from PHANGS. We make empirical classifications based on the optical and molecular gas morphologies, which show clear systematic trends in the variation of $R_{21}$ as a function of galactic structure. The sample includes barred and unbarred, a…

Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor
Siyuan Liu, Wenjing Liu, Zhiwei Xu, Xin Wang, Bo Chen, Tao Li
https://arxiv.org/abs/2507.15903

Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor
Empowered by large language models (LLMs), intelligent agents have become a popular paradigm for interacting with open environments to facilitate AI deployment. However, hallucinations generated by LLMs-where outputs are inconsistent with facts-pose a significant challenge, undermining the credibility of intelligent agents. Only if hallucinations can be mitigated, the intelligent agents can be used in real-world without any catastrophic risk. Therefore, effective detection and mitigation of hal…

Mussolini had his “years of humiliation,”
Hitler his fabricated Jewish conspiracies,
and Trump has his “phony crime stats.”
Reality is always bent into whatever shape makes the leader look like a savior.
https://mastodon.world/@BrianJopek/115078774526591227#

Think about this, China manufactures around:
85% of the world’s solar panels
80% of batteries
68% of wind turbines
70% of electric vehicles, and
65% of energy storage systems

I posted the same solar facts on two social media platforms: One sparked discussion, the other, disinformation
One hundred solar panels per second reflects extraordinary technical progress. A platform that simply fosters noise over truth does not.

Science Lab: ‘Maybe’ can’t be a strategy for Cowboys' wins https://www.dallascowboys.com/news/science-lab-maybe-can-t-be-a-strategy-for-cowboys-wins

A Rule-Based Approach to Specifying Preferences over Conflicting Facts and Querying Inconsistent Knowledge Bases
Meghyn Bienvenu, Camille Bourgaux, Katsumi Inoue, Robin Jean
https://arxiv.org/abs/2508.07742

A Rule-Based Approach to Specifying Preferences over Conflicting Facts and Querying Inconsistent Knowledge Bases
Repair-based semantics have been extensively studied as a means of obtaining meaningful answers to queries posed over inconsistent knowledge bases (KBs). While several works have considered how to exploit a priority relation between facts to select optimal repairs, the question of how to specify such preferences remains largely unaddressed. This motivates us to introduce a declarative rule-based framework for specifying and computing a priority relation between conflicting facts. As the express…

Language Models Change Facts Based on the Way You Talk
Matthew Kearney, Reuben Binns, Yarin Gal
https://arxiv.org/abs/2507.14238 https://

Language Models Change Facts Based on the Way You Talk
Large language models (LLMs) are increasingly being used in user-facing applications, from providing medical consultations to job interview advice. Recent research suggests that these models are becoming increasingly proficient at inferring identity information about the author of a piece of text from linguistic patterns as subtle as the choice of a few words. However, little is known about how LLMs use this information in their decision-making in real-world applications. We perform the first c…

from my link log —
Basic facts about GPUs.
https://damek.github.io/random/basic-facts-about-gpus/
saved 2025-06-22 https:…

Gov. Gavin Newsom droppin' facts on anti-tax crusaders who run to Texas or Florida.

Original post: https://bsky.app/profile/did:plc:rqbk4btknyamgpgfxzkwfgqr/post/3lubm2ghpbs2u

Nothing more to be said here…
“An inmate who has pleaded guilty to murdering Robert Pickton in prison last year says he did it for the serial killer's victims.
Martin Charest admitted on Thursday morning to fatally assaulting Pickton with a broken broom handle at the Port-Cartier federal penitentiary in May 2024.
Charest pleaded guilty to first-degree murder during a court appearance in Sept-Îles, Que., northeast of Quebec City.
Pickton was convicted in 2007 of six counts of second-degree murder, but confessed to killing a total of 49 women whom he lured to his pig farm near Vancouver.
A statement of facts read out in court detailed how Charest locked himself into a room with Pickton and assaulted him twice while guards were unable to enter.
Charest told the judge he murdered Pickton after the serial killer had continued to brag about the murders and told other inmates he'd commit more crimes if he was ever released.”
#Justice #Canada #RobertPickton #MMIWG #Indigenous
https://www.cbc.ca/news/canada/british-columbia/pickton-s-killer-murder-charge-1.7643499

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
Yifei Li, Lingling Zhang, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu
https://arxiv.org/abs/2508.11347

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
Traditional knowledge graph (KG) embedding methods aim to represent entities and relations in a low-dimensional space, primarily focusing on static graphs. However, real-world KGs are dynamically evolving with the constant addition of entities, relations and facts. To address such dynamic nature of KGs, several continual knowledge graph embedding (CKGE) methods have been developed to efficiently update KG embeddings to accommodate new facts while maintaining learned knowledge. As KGs grow at di…

Probabilistic Inference for Datalog with Correlated Inputs
Jingbo Wang, Shashin Halalingaiah, Weiyi Chen, Chao Wang, Isil Dillig
https://arxiv.org/abs/2508.15166 https://…

Probabilistic Inference for Datalog with Correlated Inputs
Probabilistic extensions of logic programming languages, such as ProbLog, integrate logical reasoning with probabilistic inference to evaluate probabilities of output relations; however, prior work does not account for potential statistical correlations among input facts. This paper introduces Praline, a new extension to Datalog designed for precise probabilistic inference in the presence of (partially known) input correlations. We formulate the inference task as a constrained optimization prob…

Numbers in the base $e^\pi$
Simon Plouffe
https://arxiv.org/abs/2509.15609 https://arxiv.org/pdf/2509.15609

Numbers in the base $e^π$
A large-scale experiment was conducted to find formulas relating to the base $e^π$. The numbers in this base are $$x = \sum_{n=0}^\infty {a(n)\over e^{πn}}$$ where $a(n)$ is taken from the OEIS catalog. These experiments were inspired by several facts. Indeed, it is known that the formula generating the partitions of integers is generated by an infinite product $$\prod_{k\ge1}^\infty {1\over 1-x^k} = \sum_{n=0}^\infty p(n)x^n$$ that when evaluated at $x=e^{-π}$ is equal to $${2^{3/8} Γ(3/4…

Towards Efficient Quantity Retrieval from Text:an Approach via Description Parsing and Weak Supervision
Yixuan Cao, Zhengrong Chen, Chengxuan Xia, Kun Wu, Ping Luo
https://arxiv.org/abs/2507.08322

Towards Efficient Quantity Retrieval from Text:an Approach via Description Parsing and Weak Supervision
Quantitative facts are continually generated by companies and governments, supporting data-driven decision-making. While common facts are structured, many long-tail quantitative facts remain buried in unstructured documents, making them difficult to access. We propose the task of Quantity Retrieval: given a description of a quantitative fact, the system returns the relevant value and supporting evidence. Understanding quantity semantics in context is essential for this task. We introduce a fram…

No one has ever convinced anyone with "data" and "facts." A stakeholder will always have more confidence in their existing assumptions than in your findings.
The only way to change minds is through gradual influence that nurtures a sense of ownership.
#AI tools promise to accelerate the pace of research, but they do so only by skipping this process of sense-making. Res…

Research is a leadership skill; don't cede it to AI
The role of UX is not only to change the behaviors of users, but also to influence the behaviors of stakeholders. Adding AI tools to this process only undermines alignment.

Trump v. Truth - Television documentary
#television

"Because we know two facts: They promised to declassify the files. They saw Trump's name in the files. And now they don't want to release the files"
**Ex-GOP staffer says these 2 facts prove Trump is behind 'system-wide cover-up' of Epstein** - Alternet.org
https://www.alternet.org/trump-cover-up-epstein/

Check out this compelling rebuttal of Soteria International's claims regarding the OKC case. Get informed about the facts and perspectives presented in the article by visiting: https://blog.rmendes.net/2024/12/15/rebuttal-of-soteria.html

Good thread. As the O&G industry stokes its lie machine under Trump, it’s crucial to distinguish facts from propaganda. https://mastodon.energy/@drsimevans/115214810095868405

I usually like Odd Lots but this a particularly non incisive interview with a person who seems to be a professional spokesperson for billionaires. What a fucking awful job. Be worth following up on the bullshit facts promulgated by a trade association for billionaires.
#mamdani #NYC

Facts vs. Feelings: Week 1 surprises you can trust in Week 2 (and those you can't) https://www.espn.com/fantasy/football/story/_/id/46215266/fantasy-football-start-sit-upside-downside-week-2

Environmental impacts of astronomical research infrastructures
J\"urgen Kn\"odlseder
https://arxiv.org/abs/2507.14510 https://

Environmental impacts of astronomical research infrastructures
Human activities degrade the Earth environment at an unprecedented scale and pace, threatening Earth-system stability, resilience and life-support functions. We can of course deny the facts, get angry about them, try to bargain, or fall into deep depression. Or we may overcome these stages of grief and move towards accepting that human activities need to change, including our own ones. The purpose of this paper is to support astronomers in this transition, by providing insights into the origins…

from my link log —
Chess grandmasters do not burn 6000 calories per day.
https://substack.com/inbox/post/167018896
saved 2025-07-02 ht…

Chess Grandmasters Do Not Burn 6000 Calories Per Day
A Note on the Production of Facts

Covariance matrices of volume power functionals of random simplicial complexes -- an asymptotic analysis
Mandala von Westenholz
https://arxiv.org/abs/2509.15790 https://

Covariance matrices of volume power functionals of random simplicial complexes -- an asymptotic analysis
This work analyzes and compares the asymptotic properties of the covariance matrices of vectors of volume power functionals of random Vietoris-Rips complexes, as the intensity of the underlying homogeneous Poisson point process grows. Several key results are established which, in particular, generalize well-known facts on random graphs. Findings regarding rank, definiteness, determinant, eigenspaces, and related decompositions are presented within three distinct regimes. Moreover, we derive sto…

The person who accepts lies for strategic reasons loses the facts as weapons. In the world the liar creates, the liar wins every battle. The only remedy against alternative truths is the truth.
Dutch author Ilja Leonard Pfeijffer, on Von der Leyen's "trade deal" with Trump.

Mijn essay in De Morgen van dit weekend: | Ilja Leonard Pfeijffer | 51 comments
Mijn essay in De Morgen van dit weekend: De vernedering van Ursula von der Leyen | Gedeeld artikel van De Morgen https://lnkd.in/dhdwsNMV | 51 comments on LinkedIn

Dissecting Atomic Facts: Visual Analytics for Improving Fact Annotations in Language Model Evaluation
Manuel Schmidt, Daniel A. Keim, Frederik L. Dennig
https://arxiv.org/abs/2509.01460

Dissecting Atomic Facts: Visual Analytics for Improving Fact Annotations in Language Model Evaluation
Factuality evaluation of large language model (LLM) outputs requires decomposing text into discrete "atomic" facts. However, existing definitions of atomicity are underspecified, with empirical results showing high disagreement among annotators, both human and model-based, due to unresolved ambiguity in fact decomposition. We present a visual analytics concept to expose and analyze annotation inconsistencies in fact extraction. By visualizing semantic alignment, granularity and referential depe…

Big Facts: Familiar faces in brand new places https://www.dallascowboys.com/news/big-facts-familiar-faces-in-brand-new-places

Fact-Finding in Social Networks
Boris Ginzburg
https://arxiv.org/abs/2509.15454 https://arxiv.org/pdf/2509.15454 …

Fact-Finding in Social Networks
This paper models voters who invest effort to determine whether a particular claim relevant to their voting choices is correct. If a voter succeeds in determining whether the claim is correct, this information is shared via a social network. I show that increased connectivity makes voters more informed about basic facts, but less informed about complicated issues. At the same time, polarization makes voters less informed overall.

@lolxd292@mastodon.social @…
More correctly, I simply block trolls and spammers. Please get your facts straight mate.

From @… for @… :
https://www.

White House Partners With PragerU to Make AI-Slopified Founding Fathers
John Adams says "facts do not care about our feelings" in one of the AI-generated videos in PragerU's series partnership with White House.

Trump is set to remove Erik Siebert, the U.S. attorney for the Eastern District of Virginia,
for being faithful to facts, evidence, and guidelines governing good prosecutorial conduct, rather than fully corrupting his office to target Trump’s enemies.
That’s not a rhetorical cheap shot. It’s what Trump is actually doing, per ABC:
"President Donald Trump is expected to fire the U.S. attorney for the Eastern District of Virginia after his office was unable to find incrimin…

Trump Firing Top Prosecutor for Failing to Invent Fake Crimes by Foes
A U.S. attorney in Virginia is finding no evidence that Letitia James broke the law. In America, that’s justice. In Trumpworld, it’s a firing offense.

The Value of Finance Journals
Douglas Cumming
https://arxiv.org/abs/2508.14301 https://arxiv.org/pdf/2508.14301

The Value of Finance Journals
I present data from SCImago, 1999-2024, on factors that affect the valuation of finance journals. The SCImago data show some interesting facts; for example, in 2024, Finance Research Letters, valued at \$16.5 million, was four times more valuable than the Journal of Financial Economics (\$4.1m), five times more valuable than the Review of Financial Studies (\$3.3m), and over seven times more valuable than the Journal of Finance (\$2.3m). The data show that quality, as proxied by citations, posi…

Meta's standalone Meta AI app, launched in April 2025, offers an uneven experience, often hallucinating facts and failing to provide personalized responses (Bloomberg)
https://www.bloomberg.com/news/features/2025-08-15/meta-ai-app-ha…

Tell Congress: NO Funding for Primate Breeding! #AnimalRights

URGENT: Tell Congress NO to Funding Primate Breeding!
Right now, Congress is working on the 2025 federal budget, and the Senate Appropriations Committee has allocated a staggering $30 million to expand primate breeding and research at National Primate Research Centers. This funding will support invasive, unethical experiments on primates—causing unimaginable suffering while advancing unreliable science that fails over 90% of the time in human clinical trials. 🔬 Despite these facts, the NIH asked for $10 million, but the Senate has tripled th…

White House Partners With PragerU to Make AI-Slopified Founding Fathers https://www.404media.co/white-house-partners-with-prageru-to-make-ai-slopified-founding-fathers/

I love how smart these AI technologies are. They understand that "bigger" for cities can be ambiguous, refer to either the population or the area. It's also great that it's showing the sources in the upper corner, and displaying the basic facts.
Small minus on consistency and correctness, but other than that, really a great answer.
#google

Hey #GenX, you'll probably enjoy some of these fast facts & #bloopers from a couple of the greats from the 70s/80s.
▶️ 1978 #BattlestarGalactica Goofs, Facts, and Bloopers

my current idea is to just retake the word conspiracy and devalue it and just use it for every day facts.
Here's a conspiracy they don't want you to know and they aren't talking about in the media: Sales tax in NJ is 6.625%. USE THIS INFORMATION WISELY!

TL;DR: what if instead of denying the harms of fascism, we denied its suppressive threats of punishment
Many of us have really sharpened our denial skills since the advent of the ongoing pandemic (perhaps you even hesitated at the word "ongoing" there and thought "maybe I won't read this one, it seems like it'll be tiresome"). I don't say this as a preface to a fiery condemnation or a plea to "sanity" or a bunch of evidence of how bad things are, because I too have honed my denial skills in these recent years, and I feel like talking about that development.
Denial comes in many forms, including strategic information avoidance ("I don't have time to look that up right now", "I keep forgetting to look into that", "well this author made a tiny mistake, so I'll click away and read something else", "I'm so tired of hearing about this, let me scroll farther", etc.) strategic dismissal ("look, there's a bit of uncertainty here, I should ignore this", "this doesn't line up perfectly with my anecdotal experience, it must be completely wrong", etc.) and strategic forgetting ("I don't remember what that one study said exactly; it was painful to think about", "I forgot exactly what my friend was saying when we got into that argument", etc.). It's in fact a kind of skill that you can get better at, along with the complementary skill of compartmentalization. It can of course be incredibly harmful, and a huge genre of fables exists precisely to highlight its harms, but it also has some short-term psychological benefits, chiefly in the form of muting anxiety. This is not an endorsement of denial (the harms can be catastrophic), but I want to acknowledge that there *are* short-term benefits. Via compartmentalization, it's even possible to be honest with ourselves about some of our own denials without giving them up immediately.
But as I said earlier, I'm not here to talk you out of your denials. Instead, given that we are so good at denial now, I'm here to ask you to be strategic about it. In particular, we live in a world awash with propaganda/advertising that serves both political and commercial ends. Why not use some of our denial skills to counteract that?
For example, I know quite a few people in complete denial of our current political situation, but those who aren't (including myself) often express consternation about just how many people in the country are supporting literal fascism. Of course, logically that appearance of widespread support is going to be partly a lie, given how much our public media is beholden to the fascists or outright in their side. Finding better facts on the true level of support is hard, but in the meantime, why not be in denial about the "fact" that Trump has widespread popular support?
To give another example: advertisers constantly barrage us with messages about our bodies and weight, trying to keep us insecure (and thus in the mood to spend money to "fix" the problem). For sure cutting through that bullshit by reading about body positivity etc. is a better solution, but in the meantime, why not be in denial about there being anything wrong with your body?
This kind of intentional denial certainly has its own risks (our bodies do actually need regular maintenance, for example, so complete denial on that front is risky) but there's definitely a whole lot of misinformation out there that it would be better to ignore. To the extent such denial expands to a more general denial of underlying problems, this idea of intentional denial is probably just bad. But I sure wish that in a world where people (including myself) routinely deny significant widespread dangers like COVID-19's long-term risks or the ongoing harms of escalating fascism, they'd at least also deny some of the propaganda keeping them unhappy and passive. Instead of being in denial about US-run concentration camps, why not be in denial that the state will be able to punish you for resisting them?

Catalan numbers and a conjecture on the maximum composition length of a Kac module
Ian M. Musson
https://arxiv.org/abs/2509.10868 https://arxiv.org/pdf/250…

Catalan numbers and a conjecture on the maximum composition length of a Kac module
We prove a conjecture on the maximum number of composition factors of a Kac module for the Lie superalgebra $\fg=\fgl(r|r)$. The proof uses some elementary facts about continuous functions.

"In the hands of Islamophobes and pro-Israel flunkies, 'taqiyya' has served as a useful term to dismiss not only criticism, but the growing avalanche of inconvenient facts."
**The Truth About Taqiyya and the Concealment of Genocide**
https://zeteo.com/p/the-truth-about-taqiyya-and-the-concealment

Maxx Crosby’s Music Career: 5 Fast Facts You Need to Know Ahead of His EP Release https://heavy.com/sports/nfl/las-vegas-raiders/maxx-crosbys-music-career/?adt_ei=[email]

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics
Carter Blum, Katja Filipova, Ann Yuan, Asma Ghandeharioun, Julian Zimmert, Fred Zhang, Jessica Hoffmann, Tal Linzen, Martin Wattenberg, Lucas Dixon, Mor Geva
https://arxiv.org/abs/2508.11017

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics
Large language models (LLMs) struggle with cross-lingual knowledge transfer: they hallucinate when asked in one language about facts expressed in a different language during training. This work introduces a controlled setting to study the causes and dynamics of this phenomenon by training small Transformer models from scratch on synthetic multilingual datasets. We identify a learning phase wherein a model develops either separate or unified representations of the same facts across languages, an…

This podcast interview with Peter Thiel is... worrying? Heavy on opinions, Bible quotes and the Antichrist, very light on facts
https://overcast.fm/ ABLQpR1gTkw

Counting sums of two powers
Anand Patel
https://arxiv.org/abs/2507.08337 https://arxiv.org/pdf/2507.08337

Counting sums of two powers
We generalize two well-known enumerative facts. The first, due to Clebsch, says that a general binary sextic form is expressible as the sum of a cube and a square in 40 different ways. The second, due to Zariski and later Vakil, states that a general pencil of binary 12-ics contains exactly 3762 cubes plus squares, ignoring scaling.

From Knowledge to Conjectures: A Modal Framework for Reasoning about Hypotheses
Fabio Vitali
https://arxiv.org/abs/2508.07304 https://arxiv.org/pdf/2508.07…

From Knowledge to Conjectures: A Modal Framework for Reasoning about Hypotheses
This paper introduces a new family of cognitive modal logics designed to formalize conjectural reasoning: a modal system in which cognitive contexts extend known facts with hypothetical assumptions to explore their consequences. Unlike traditional doxastic and epistemic systems, conjectural logics rely on a principle, called Axiom C ($φ\rightarrow \Boxφ$), that ensures that all established facts are preserved across hypothetical layers. While Axiom C was dismissed in the past due to its assoc…

Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
Frederic Kirstein, Sonu Kumar, Terry Ruas, Bela Gipp
https://arxiv.org/abs/2509.15901

Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
Meeting summarization with large language models (LLMs) remains error-prone, often producing outputs with hallucinations, omissions, and irrelevancies. We present FRAME, a modular pipeline that reframes summarization as a semantic enrichment task. FRAME extracts and scores salient facts, organizes them thematically, and uses these to enrich an outline into an abstractive summary. To personalize summaries, we introduce SCOPE, a reason-out-loud protocol that has the model build a reasoning trace …

Check out this compelling rebuttal of Soteria International's claims regarding the OKC case. Get informed about the facts and perspectives presented in the article by visiting: https://blog.rmendes.net/2024/12/15/rebuttal-of-soteria.html

Rebuttal of Soteria International's Claims on the OKC Case - rMdes - a place to write and think freely
Rebuttal of Soteria International’s Claims on the OKC Case As a victim of the Ogyen Kunzang Chöling (OKC) cult and an advocate for justice, I find Soteria …

The end of Colbert’s ‘Late Show’ has implications beyond late-night TV
The facts are these: The highest-rated show on late night was nominated for an Emmy on Tuesday. On Thursday, Paramount/CBS announced its cancellation.
Stephen Colbert announced at the Thursday evening taping of “The Late Show with Stephen Colbert” that he’d found out, only the night before, that his show would be canceled at the end of the season, in May 2026,
and that no one would be replacing him. “I…

The end of Colbert’s ‘Late Show’ has implications beyond late-night TV
Stephen Colbert announced at the Thursday evening taping of “The Late Show with Stephen Colbert” that his show would be canceled at the end of the season.

George Takei spittin' facts.

Original post: #georgetakei…

EgoMem: Lifelong Memory Agent for Full-duplex Omnimodal Models
Yiqun Yao, Naitong Yu, Xiang Li, Xin Jiang, Xuezhi Fang, Wenjia Ma, Xuying Meng, Jing Li, Aixin Sun, Yequan Wang
https://arxiv.org/abs/2509.11914

EgoMem: Lifelong Memory Agent for Full-duplex Omnimodal Models
We introduce EgoMem, the first lifelong memory agent tailored for full-duplex models that process real-time omnimodal streams. EgoMem enables real-time models to recognize multiple users directly from raw audiovisual streams, to provide personalized response, and to maintain long-term knowledge of users' facts, preferences, and social relationships extracted from audiovisual history. EgoMem operates with three asynchronous processes: (i) a retrieval process that dynamically identifies user via …

Ignore all the diversions, the facts are Trump gave Putin a deadline with the promise of sanctions if he didn't comply. Putin increased his attacks on Ukraine, attacked Poland with drones. Putin didn't comply.
Trump's next step is demanding things from Europe..
#usa #trump

@40zetrel@mastodon.social it is not a crime to be in the United States without documentation; it is a civil violation.
Thank you in advance for checking your facts before speaking (or voting) in any place at any time with bad info in the future.
Please consider it your patriotic duty!
I’m sure you wouldn’t want to damage the United States by spreading bad info, again.
🫡🇺🇸

Albany mayor: being undocumented in the U.S. is not a crime
Albany Mayor Kathy M. Sheehan said in a national television interview that it’s not a crime for immigrants to live in th

Intel CEO Lip-Bu Tan tells employees the company is engaging with the Trump Administration to address concerns about him and "ensure they have the facts" (Lip-Bu Tan/Intel)
https://newsroom.intel.com/corporate/my-commitment-to-you-and-our-company

My commitment to you and our company
A message from Intel CEO Lip-Bu Tan to all company employees.

CountTRuCoLa: Rule Confidence Learning for Temporal Knowledge Graph Forecasting
Julia Gastinger, Christian Meilicke, Heiner Stuckenschmidt
https://arxiv.org/abs/2509.09474 https…

CountTRuCoLa: Rule Confidence Learning for Temporal Knowledge Graph Forecasting
We address the task of temporal knowledge graph (TKG) forecasting by introducing a fully explainable method based on temporal rules. Motivated by recent work proposing a strong baseline using recurrent facts, our approach learns four simple types of rules with a confidence function that considers both recency and frequency. Evaluated on nine datasets, our method matches or surpasses the performance of eight state-of-the-art models and two baselines, while providing fully interpretable predictio…

SHACL Validation in the Presence of Ontologies: Semantics and Rewriting Techniques
Anouk Oudshoorn, Magdalena Ortiz, Mantas Simkus
https://arxiv.org/abs/2507.12286

SHACL Validation in the Presence of Ontologies: Semantics and Rewriting Techniques
SHACL and OWL are two prominent W3C standards for managing RDF data. These languages share many features, but they have one fundamental difference: OWL, designed for inferring facts from incomplete data, makes the open-world assumption, whereas SHACL is a constraint language that treats the data as complete and must be validated under the closed-world assumption. The combination of both formalisms is very appealing and has been called for, but their semantic gap is a major challenge, semantical…

Big Facts: First opener vs. Philly in 25 years https://www.dallascowboys.com/news/big-facts-first-opener-vs-philly-in-25-years

Big Facts: First opener vs. Philly in 25 years https://www.dallascowboys.com/news/big-facts-first-opener-vs-philly-in-25-years

Do All Autoregressive Transformers Remember Facts the Same Way? A Cross-Architecture Analysis of Recall Mechanisms
Minyeong Choe, Haehyun Cho, Changho Seo, Hyunil Kim
https://arxiv.org/abs/2509.08778

Do All Autoregressive Transformers Remember Facts the Same Way? A Cross-Architecture Analysis of Recall Mechanisms
Understanding how Transformer-based language models store and retrieve factual associations is critical for improving interpretability and enabling targeted model editing. Prior work, primarily on GPT-style models, has identified MLP modules in early layers as key contributors to factual recall. However, it remains unclear whether these findings generalize across different autoregressive architectures. To address this, we conduct a comprehensive evaluation of factual recall across several model…

coach speaking facts 🗣️ https://www.youtube.com/shorts/i90ZvQB-kyY

Surgical Knowledge Rewrite in Compact LLMs: An 'Unlearn-then-Learn' Strategy with ($IA^3$) for Localized Factual Modulation and Catastrophic Forgetting Mitigation
Stanley Ngugi
https://arxiv.org/abs/2508.07075

Surgical Knowledge Rewrite in Compact LLMs: An 'Unlearn-then-Learn' Strategy with ($IA^3$) for Localized Factual Modulation and Catastrophic Forgetting Mitigation
Large Language Models (LLMs) struggle with dynamic knowledge updates, especially when new information conflicts with deeply embedded facts. Such conflicting factual edits often lead to two critical issues: resistance to adopting the new fact and severe catastrophic forgetting of unrelated knowledge. This paper introduces and evaluates a novel "unlearn-then-learn" strategy for precise knowledge editing in LLMs, leveraging the parameter-efficient fine-tuning (PEFT) technique, Infused Adapter by I…

I'm waiting for the day when ALL newspaper, TV & radio news lead with actual FACTS:
"Trump Attacks YOUR Constitutional Right of Free Speech in America
-- breaking & violating the Oath of Office"
https://bsky.app/profile/truthseeker19.bs…

Reasoning about Medical Triage Optimization with Logic Programming
Jaikrishna Manojkumar Patil, Adam Chapman, Richard Knuszka, John Chapman, Paulo Shakarian
https://arxiv.org/abs/2507.10781

Reasoning about Medical Triage Optimization with Logic Programming
We present a logic programming framework that orchestrates multiple variants of an optimization problem and reasons about their results to support high-stakes medical decision-making. The logic programming layer coordinates the construction and evaluation of multiple optimization formulations, translating solutions into logical facts that support further symbolic reasoning and ensure efficient resource allocation-specifically targeting the "right patient, right platform, right escort, right tim…

Out-of-Context Abduction: LLMs Make Inferences About Procedural Data Leveraging Declarative Facts in Earlier Training Data
Sohaib Imran, Rob Lamb, Peter M. Atkinson
https://arxiv.org/abs/2508.00741

Out-of-Context Abduction: LLMs Make Inferences About Procedural Data Leveraging Declarative Facts in Earlier Training Data
Large language models (LLMs) are trained on large corpora, yet it is unclear whether they can reason about the information present within their training data. We design experiments to study out-of-context abduction in LLMs, the ability to infer the most plausible explanations for observations using relevant facts present in training data. We train treatment LLMs on names and behavior descriptions of fictitious chatbots, but not on examples of dialogue with the chatbots. We find that OpenAI's GP…

Numbers & facts only.
How's our money spent?
What's the most efficient services?
✅ What’s in the “One Big Beautiful Bill”? | USAFacts
https://usafacts.org/articles/whats-in-the-one-big-beautiful-bill/

What’s in the “One Big Beautiful Bill”?
From tax reform to shifts in healthcare, immigration, and SNAP, this legislation will likely affect you.

From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity Explanations
Pulkit Bansal, Raghvendra Kumar, Shakti Singh, Sriparna Saha, Adam Jatowt
https://arxiv.org/abs/2507.05179

From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity Explanations
In an era of rampant misinformation, generating reliable news explanations is vital, especially for under-represented languages like Hindi. Lacking robust automated tools, Hindi faces challenges in scaling misinformation detection. To bridge this gap, we propose a novel framework integrating Direct Preference Optimization (DPO) with curriculum learning to align machine-generated explanations with human reasoning. Fact-checked explanations from credible sources serve as preferred responses, whil…

Science Lab: Cowboys offense is awakened, ceilingless? https://www.dallascowboys.com/news/science-lab-cowboys-offense-is-awakened-ceilingless

Knowledge Collapse in LLMs: When Fluency Survives but Facts Fail under Recursive Synthetic Training
Figarri Keisha, Zekun Wu, Ze Wang, Adriano Koshiyama, Philip Treleaven
https://arxiv.org/abs/2509.04796

Knowledge Collapse in LLMs: When Fluency Survives but Facts Fail under Recursive Synthetic Training
Large language models increasingly rely on synthetic data due to human-written content scarcity, yet recursive training on model-generated outputs leads to model collapse, a degenerative process threatening factual reliability. We define knowledge collapse as a distinct three-stage phenomenon where factual accuracy deteriorates while surface fluency persists, creating "confidently wrong" outputs that pose critical risks in accuracy-dependent domains. Through controlled experiments with recursiv…

Science Lab: Cowboys offense is awakened, ceilingless? https://www.dallascowboys.com/news/science-lab-cowboys-offense-is-awakened-ceilingless

Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models
Juraj Vladika, Mahdi Dhaini, Florian Matthes
https://arxiv.org/abs/2509.04304 htt…

Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models
The growing capabilities of Large Language Models (LLMs) show significant potential to enhance healthcare by assisting medical researchers and physicians. However, their reliance on static training data is a major risk when medical recommendations evolve with new research and developments. When LLMs memorize outdated medical knowledge, they can provide harmful advice or fail at clinical reasoning tasks. To investigate this problem, we introduce two novel question-answering (QA) datasets derived…

Instead of using data to determine how to govern,
the Trump administration is manipulating, ignoring and even jettisoning data altogether.
Those who balk at the administration’s wishful thinking about reality face threats to fall in line or leave -- as Jerome Powell, Lisa Cook and now the C.D.C. director, Susan Monarez, have all experienced.
The administration has clearly embraced the strategic cultivation of uncertainty and ignorance.
It is not just trying to trim th…

Opinion | Trump Is Ruling by Willful Blindness
By turning away from evidence when it doesn’t suit, the administration is showing that it doesn’t think it matters whether it has the better argument.

ODKE : Ontology-Guided Open-Domain Knowledge Extraction with LLMs
Samira Khorshidi, Azadeh Nikfarjam, Suprita Shankar, Yisi Sang, Yash Govind, Hyun Jang, Ali Kasgari, Alexis McClimans, Mohamed Soliman, Vishnu Konda, Ahmed Fakhry, Xiaoguang Qi
https://arxiv.org/abs/2509.04696

ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMs
Knowledge graphs (KGs) are foundational to many AI applications, but maintaining their freshness and completeness remains costly. We present ODKE+, a production-grade system that automatically extracts and ingests millions of open-domain facts from web sources with high precision. ODKE+ combines modular components into a scalable pipeline: (1) the Extraction Initiator detects missing or stale facts, (2) the Evidence Retriever collects supporting documents, (3) hybrid Knowledge Extractors apply …

Cowboys' front office, fan base, see 2025 needs and solutions entirely differently https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/08/28/facing-facts-dallas-cowboys-roster-desires-differe…

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If so, watch the climate.us video and consider supporting our initiative.
Find out how you can support: https://donorbox.org/climate-us-protected-by-you

Climate.us: independent, nonprofit, and immune to politics | Multiplier (Powered by Donorbox)
The truth about climate is being erased. Act now to save it.In June 2025, under pressure from political appointees, NOAA shut down daily operations of its award-winning Climate.gov website. They hid Climate.gov’s home page and froze its social med...

For more than a year Trump, 79, has exhibited odd behavior at campaign events, in interviews, in his spontaneous remarks and at press conferences.
The president repeatedly drifts off topic,
including during a cabinet meeting this month when he spent 15 minutes talking about decorating,
and appears to misremember simple facts about his government and his life.

ChainEdit: Propagating Ripple Effects in LLM Knowledge Editing through Logical Rule-Guided Chains
Zilu Dong, Xiangqing Shen, Zinong Yang, Rui Xia
https://arxiv.org/abs/2507.08427 …

ChainEdit: Propagating Ripple Effects in LLM Knowledge Editing through Logical Rule-Guided Chains
Current knowledge editing methods for large language models (LLMs) struggle to maintain logical consistency when propagating ripple effects to associated facts. We propose ChainEdit, a framework that synergizes knowledge graph-derived logical rules with LLM logical reasoning capabilities to enable systematic chain updates. By automatically extracting logical patterns from structured knowledge bases and aligning them with LLMs' internal logics, ChainEdit dynamically generates and edits logically…

ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
Shu Zhao, Tan Yu, Anbang Xu, Japinder Singh, Aaditya Shukla, Rama Akkiraju
https://arxiv.org/abs/2508.09303

ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
Reasoning-augmented search agents such as Search-R1, trained via reinforcement learning with verifiable rewards (RLVR), demonstrate remarkable capabilities in multi-step information retrieval from external knowledge sources. These agents address the limitations of their parametric memory by dynamically gathering relevant facts to address complex reasoning tasks. However, existing approaches suffer from a fundamental architectural limitation: they process search queries strictly sequentially, ev…