Tootfinder

What a charming story.
Even Its Author Is Shocked by How Fans Have Embraced “Heated Rivalry,” the Gay Hockey Romance Series
https://www.nytimes.com/2025/12/19/books/heated-rivalry-rachel-reid-hockey-romance.html

Even Its Author Is Shocked by How Fans Have Embraced “Heated Rivalry,” the Gay Hockey Romance Series
Thanks to a steamy television adaptation, Rachel Reid’s romance novels about closeted hockey players have become mainstream best-sellers.

Mitigating Forgetting in Low Rank Adaptation
Joanna Sliwa, Frank Schneider, Philipp Hennig, Jose Miguel Hernandez-Lobato
https://arxiv.org/abs/2512.17720 https://arxiv.org/pdf/2512.17720 https://arxiv.org/html/2512.17720
arXiv:2512.17720v1 Announce Type: new
Abstract: Parameter-efficient fine-tuning methods, such as Low-Rank Adaptation (LoRA), enable fast specialization of large pre-trained models to different downstream applications. However, this process often leads to catastrophic forgetting of the model's prior domain knowledge. We address this issue with LaLoRA, a weight-space regularization technique that applies a Laplace approximation to Low-Rank Adaptation. Our approach estimates the model's confidence in each parameter and constrains updates in high-curvature directions, preserving prior knowledge while enabling efficient target-domain learning. By applying the Laplace approximation only to the LoRA weights, the method remains lightweight. We evaluate LaLoRA by fine-tuning a Llama model for mathematical reasoning and demonstrate an improved learning-forgetting trade-off, which can be directly controlled via the method's regularization strength. We further explore different loss landscape curvature approximations for estimating parameter confidence, analyze the effect of the data used for the Laplace approximation, and study robustness across hyperparameters.
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Functional and structural adaptations following immersive audiovisual training in post-stroke #hemianopia: A study of behaviour, DTI, and FC https://www.sciencedirect.com/science/article…

Extreme heat is becoming deadlier, but we already have solutions that work.
The Heat Is On campaign showcased proven approaches—early warning systems and nature-based solutions—that have saved lives and protected communities worldwide. At COP30, this momentum paid off: adaptation finance is set to triple under the Belém Package, finally putting climate adaptation on equal footing with mitigation.

When The Heat Is On: Stories of Action and Impact - Global Center on Adaptation

pause for voice over: "They did not, in fact, live to get it right."
Asymmetric warfare requires a different type of society. Old order will not survive because it cannot. It will adapt, but the adaptation can only go so far.
Cybernetics predicts that it will be impossible for the old society to adapt because it cannot possibly develop the level of complexity needed to respond to the increasingly complex environment.
Rather, *we,* the rebellion, will continue to live this day over and over again until *we* evolve to produce a level of complexity that cannot be managed by an oppressive system.

Acabado surveys terraced mountain agriculture - humans have been shaping montane landscapes and creating habitats worldwide for a very long time.
https://phys.org/news/2026-01-mountain-terraces-indigenous-peoples-climate.html

Easy Adaptation: An Efficient Task-Specific Knowledge Injection Method for Large Models in Resource-Constrained Environments
Dong Chen, Zhengqing Hu, Shixing Zhao, Yibo Guo
https://arxiv.org/abs/2512.17771 https://arxiv.org/pdf/2512.17771 https://arxiv.org/html/2512.17771
arXiv:2512.17771v1 Announce Type: new
Abstract: While the enormous parameter scale endows Large Models (LMs) with unparalleled performance, it also limits their adaptability across specific tasks. Parameter-Efficient Fine-Tuning (PEFT) has emerged as a critical approach for effectively adapting LMs to a diverse range of downstream tasks. However, existing PEFT methods face two primary challenges: (1) High resource cost. Although PEFT methods significantly reduce resource demands compared to full fine-tuning, it still requires substantial time and memory, making it impractical in resource-constrained environments. (2) Parameter dependency. PEFT methods heavily rely on updating a subset of parameters associated with LMs to incorporate task-specific knowledge. Yet, due to increasing competition in the LMs landscape, many companies have adopted closed-source policies for their leading models, offering access only via Application Programming Interface (APIs). Whereas, the expense is often cost-prohibitive and difficult to sustain, as the fine-tuning process of LMs is extremely slow. Even if small models perform far worse than LMs in general, they can achieve superior results on particular distributions while requiring only minimal resources. Motivated by this insight, we propose Easy Adaptation (EA), which designs Specific Small Models (SSMs) to complement the underfitted data distribution for LMs. Extensive experiments show that EA matches the performance of PEFT on diverse tasks without accessing LM parameters, and requires only minimal resources.
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🔊 #NowPlaying on #BBCRadio3:
#TheEssay
- Accompanying Austen
Antonia Quirke speaks to composers who've scored original music for Austen adaptations about their musical choices and about the music Austen encountered. Today, Fernando Velšzquez
Relisten now 👇
https://www.bbc.co.uk/programmes/m002nbfk

I've re-watched the BBC's Fortunes of War, for research purposes. I saw it as a kid but it's much tougher to watch as an adult.
Credit to the writer/screen adaptation, it does show characters criticising colonialism, and from a variety of perspectives.
The polite put-downs the British use when jockeying for position in the class system are also painful to watch.

Young people aren't just worried about climate change—they're actively solving it.
Across communities worldwide, youth are designing innovative adaptation solutions focused on justice and inclusion. They're mobilizing action at scale, demanding accessible finance, and ensuring no one gets left behind in the climate transition.
The message to decision-makers is clear: partner with young leaders and invest in youth-led adaptation now.

The Role of Young People in Adaptation Success  - Global Center on Adaptation