I've seen 51 of these top 100 movies from the nytimes
https://www.worldofreel.com/blog/2025/6/23/nyts-best-films-of-the-21st-century-polls-over-500-filmmakers
My fair city of Roanoke attained “Bee City USA” status in 2022, which aims to “promote healthy, sustainable habitats for bees and other pollinators, responsible for the reproduction of nearly 90% of the world’s flowering plant species and one in every three bites of food we eat.”
Last night, a couple of garden clubs teamed up with the city to screen a new PBS Nature documentary, “My Garden of a Thousand Bees”.
What a great reminder of what am amazingly funny person Akilah is.
Will There Ever Be Flying Cars? | Akilah Hughes Asks Hank Anything
Complexly https://www.youtube.com/watch?v=fUnR0szT4mg
Weekends are never slow for cyber news, particularly this past weekend. Check out today's Metacurity for the top infosec developments you might have missed, including
--DHS warns of likely Iranian cyberattacks after Trump's missile strikes
--Authorities warn of Salt Typhoon threats in Canada,
--Aflac struck by likely Scattered Spider attack,
--DPRK likely behind BitoPro $11m theft,
--CoinMarketCap hit by wallet-draining attack,
--Hacker stole $250K …
Flexoelectric Polarization Enhancement in Paraelectric $\mathrm{BaHfO_3}$ via Strain Gradient Engineering
Timo Piecuch, Jeffrey A. Brock, Xiaochun Huang, Arnold M. M\"uller, Christof Vockenhuber, Christof W. Schneider, Thomas Lippert, Nick A. Shepelin
https://arxiv.org/abs/2506.19690
Outflows from Star-Forming Galaxies in the Early Universe: Evolution from Double- to Single-Peaked Lyman-$ \alpha $ Profiles Following Delayed Supernova Feedback
James Nianias, Jeremy Lim, Yik Lok Wong, Gordon Wong
https://arxiv.org/abs/2506.20422
Carlie Irsay-Gordon to serve as Indianapolis Colts principal owner following death of father, Jim Irsay https://www.nfl.com/news/carlie-irsay-gordon-to-serve-as-indianapolis-colts-principal-owner-following-d…
Data Efficacy for Language Model Training
Yalun Dai, Yangyu Huang, Xin Zhang, Wenshan Wu, Chong Li, Wenhui Lu, Shijie Cao, Li Dong, Scarlett Li
https://arxiv.org/abs/2506.21545 https://arxiv.org/pdf/2506.21545 https://arxiv.org/html/2506.21545
arXiv:2506.21545v1 Announce Type: new
Abstract: Data is fundamental to the training of language models (LM). Recent research has been dedicated to data efficiency, which aims to maximize performance by selecting a minimal or optimal subset of training data. Techniques such as data filtering, sampling, and selection play a crucial role in this area. To complement it, we define Data Efficacy, which focuses on maximizing performance by optimizing the organization of training data and remains relatively underexplored. This work introduces a general paradigm, DELT, for considering data efficacy in LM training, which highlights the significance of training data organization. DELT comprises three components: Data Scoring, Data Selection, and Data Ordering. Among these components, we design Learnability-Quality Scoring (LQS), as a new instance of Data Scoring, which considers both the learnability and quality of each data sample from the gradient consistency perspective. We also devise Folding Ordering (FO), as a novel instance of Data Ordering, which addresses issues such as model forgetting and data distribution bias. Comprehensive experiments validate the data efficacy in LM training, which demonstrates the following: Firstly, various instances of the proposed DELT enhance LM performance to varying degrees without increasing the data scale and model size. Secondly, among these instances, the combination of our proposed LQS for data scoring and Folding for data ordering achieves the most significant improvement. Lastly, data efficacy can be achieved together with data efficiency by applying data selection. Therefore, we believe that data efficacy is a promising foundational area in LM training.
toXiv_bot_toot
Okay y'all. I think I could get most Expedition 33 in normal mode. But I just will not enjoy it. Switched to story mode and I can now progress without failing bosses because of one (or several) wrong dodges.
#videogames