Tootfinder

Quoting the Resonant Computing Manifesto.
Five principles for the future of computing: 
private, dedicated, plural, adaptable, and prosocial.
(I've signed.)
https://resonantcomputing.org/?utm_source=substack&utm_medium=email

The Resonant Computing Manifesto
Technology should bring out the best in humanity, not the worst—a manifesto for resonant computing built on five principles that reject hyper-scale extraction for human flourishing.

lastfm_aminer: Last.fm social graph
This network contains the social graph of last.fm, a site that provides a streaming radio service, where users can search music and get personalized recommendation. A directed edge (i,j) means that user i follows user j.
This network has 136409 nodes and 1685524 edges.
Tags: Social, Online, Unweighted

🎲 TextBandit: Evaluating Probabilistic Reasoning in LLMs Through Language-Only Decision Tasks
#llm

TextBandit: Evaluating Probabilistic Reasoning in LLMs Through Language-Only Decision Tasks
Large language models (LLMs) have shown to be increasingly capable of performing reasoning tasks, but their ability to make sequential decisions under uncertainty only using natural language remains underexplored. We introduce a novel benchmark in which LLMs interact with multi-armed bandit environments using purely textual feedback, "you earned a token", without access to numerical cues or explicit probabilities, resulting in the model to infer latent reward structures purely off linguistic cu…

Part 2 - Summary of discussion
- @ZebKing has been chatting with Avi Lewis about a presence in the Fediverse — Mastodon.
- He requested assistance, looking for champions to bring politicians to Mastodon. Every new party leader on Mastodon is a win for digital sovereignty & an act of defence & patriotism for #Canada.
- Challenges for political parties and government officials to use #Mastodon:
1) Adoption by Canadians remains low. If a government agency researches the possible reach on the platform they will numbers rank well below other platforms.
2) Although it's getting easier, just getting started is still more difficult than alternatives.
- Suggestion for a strategy:
1) Make Mastodon a symbol that our government is reducing/eliminating reliance on U.S. controlled social media.
2) Get The Treasury Board of Canada Secretariat, who sets policy and guidelines on government use of social media, to add Mastodon to their policies, and potentially recommend Mastodon as the preferred platform.

Dynamisches Apple-Netzteil in mehr Regionen – wann kommt die EU-Version?
Nach den USA, Kanada und weiteren Ländern erreicht der 40W-Dynamic-Power-Adapter von Apple nun weitere Länder. Wird es eine EU-Variante geben?

Commission recommends extension of nitrates derogation for Ireland
https://www.rte.ie/news/ireland/2025/1127/1546115-mcgrath-nitrates-ireland/
<< Ireland has appaling awful water pollution from nitrates. If this is to be allowed, it should be …

Commission recommends extension of nitrates derogation
Ireland's EU Commissioner Michael McGrath has said the European Commission has recommended to extend the nitrates derogation for Ireland.

Is #AI really just dumb statistics? "Olympiad-level physics problem-solving presents a significant challenge for both humans and artificial intelligence (AI), as it requires a sophisticated integration of precise calculation, abstract reasoning, and a fundamental grasp of physical principles," says the (abstract of the) paper https://arxiv.org/abs/2511.10515: "The Chinese Physics Olympiad (CPhO), renowned for its complexity and depth, serves as an ideal and rigorous testbed for these advanced capabilities. In this paper, we introduce LOCA-R (LOgical Chain Augmentation for Reasoning), an improved version of the LOCA framework adapted for complex reasoning, and apply it to the CPhO 2025 theory examination. LOCA-R achieves a near-perfect score of 313 out of 320 points, solidly surpassing the highest-scoring human competitor and significantly outperforming all baseline methods." Oops ...?

Towards Inference-time Scaling for Continuous Space Reasoning
Minghan Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari
https://arxiv.org/abs/2510.12167 https://

Towards Inference-time Scaling for Continuous Space Reasoning
Inference-time scaling through multiple sample generation in combination with Process- or Outcome-Reward Model (PRM or ORM) re-ranking has proven effective for text-based reasoning in large language models. This paper investigates whether such established techniques can be successfully adapted to reasoning in the continuous space, using COCONUT (Hao et al. 2024) continuous space reasoning LM as the backbone. We demonstrate the feasibility of generating diverse reasoning paths through dropout-ba…

Reasoning Pattern Matters: Learning to Reason without Human Rationales
Chaoxu Pang, Yixuan Cao, Ping Luo
https://arxiv.org/abs/2510.12643 https://arxiv.org…

Reasoning Pattern Matters: Learning to Reason without Human Rationales
Large Language Models (LLMs) have demonstrated remarkable reasoning capabilities under the widely adopted SFT+RLVR paradigm, which first performs Supervised Fine-Tuning (SFT) on human-annotated reasoning trajectories (rationales) to establish initial reasoning behaviors, then applies Reinforcement Learning with Verifiable Rewards (RLVR) to optimize the model using verifiable signals without golden rationales. However, annotating high-quality rationales for the SFT stage remains prohibitively ex…