March 2026

Nonlinear Partial Differential Equations (PDEs) are ubiquitous in mathematical physics and engineering. Although Physics-Informed Neural Networks (PINNs) have emerged as a powerful tool for solving PDE problems, they typically struggle to identify multiple distinct solutions, since they are designed to find one solution at a time. To address this limitation, we introduce Deflation-PINNs, a novel framework that integrates a deflation loss with an architecture based on PINNs and Deep Operator Networks (DeepONets). By incorporating a deflation term into […]

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Hello, I made this game with the help of some ai, i am still kinda new to python but i decided to add machine learning to a branch of this, i am using gemini (bc chatgpt sucks) and have been trying to get this to work for about 10 hrs, i ran a 10 hr run and just got the same results from a 10 minute run. Please all criticism is welcome submitted by /u/_Chaos_Maker [link] [comments]

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Hi everyone, I recently wrote this whitepaper https://github.com/RippnerLabs/meridian-link/blob/main/whitepaper/whitepaper.pdf And i’m blocked on publishing to arXiv, due to lack of endorsement for DC (Distributed, Parallel, and Cluster Computing) Can anyone please let support with this endorsement. (Jayanth Kumar Morem should forward this email to someone who’s registered as an endorser for the cs.DC (Distributed, Parallel, and Cluster Computing) subject class of arXiv.) Jayanth Kumar Morem requests your endorsement to submit an article to the cs.DC section of arXiv. To […]

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Gozzip turns your social graph into your storage network. Instead of relying on servers that decide what gets stored and served, the protocol creates bilateral storage pacts between peers within your Web of Trust. Data lives on your device and your trusted contacts’ devices, verified by cryptographic challenge-response. The architecture formalizes how human communities have always preserved information: reciprocal obligation along trust edges, bounded by Dunbar layers, propagated through gossip. Built on Nostr primitives, bridges to ActivityPub and […]

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We study safe reinforcement learning in finite-horizon linear mixture constrained Markov decision processes (CMDPs) with adversarial rewards under full-information feedback and an unknown transition kernel. We propose a primal-dual policy optimization algorithm that achieves regret and constraint violation bounds of $widetilde{O}(sqrt{d^2 H^3 K})$ under mild conditions, where $d$ is the feature dimension, $H$ is the horizon, and $K$ is the number of episodes. To the best of our knowledge, this is the first provably efficient algorithm for linear […]

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Relative temporal-difference (TD) learning was introduced to mitigate the slow convergence of TD methods when the discount factor approaches one by subtracting a baseline from the temporal-difference update. While this idea has been studied in the tabular setting, stability guarantees with function approximation remain poorly understood. This paper analyzes relative TD learning with linear function approximation. We establish stability conditions for the algorithm and show that the choice of baseline distribution plays a central role. In particular, when […]

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Table of Links Abstract and Introduction Definitions Literature Review Argument Development The AI Model’s Potential for Feeling During Inference Conclusion and References 4 Argument Development In this section, we develop a comprehensive argument examining the potential sentience of the OpenAI-o1 model, integrating insights from neuroscience, philosophy of mind, and AI research. Central to this analysis is the adoption of functionalism, a philosophical framework that posits mental states are defined by their functional roles rather than their physical substrates […]

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Pretext Exciting new browser library from Cheng Lou, previously a React core developer and the original creator of the react-motion animation library. Pretext solves the problem of calculating the height of a paragraph of line-wrapped text without touching the DOM. The usual way of doing this is to render the text and measure its dimensions, but this is extremely expensive. Pretext uses an array of clever tricks to make this much, much faster, which enables all sorts of […]

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Table of Links Abstract and Introduction Definitions Literature Review Argument Development The AI Model’s Potential for Feeling During Inference Conclusion and References 3 Literature Review Our analysis draws upon a range of interdisciplinary literature that bridges machine learning, artificial intelligence, neuroscience, and philosophy of mind. The following key works inform our discussion: • Relating Transformers to Models and Neural Representations of the Hippocampal Formation (Whittington et al., 2022): Whittington and Behrens explore the parallels between transformer architectures in […]

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Tool: Python Vulnerability Lookup I learned that the OSV.dev open source vulnerability database has an open CORS JSON API, so I had Claude Code build this HTML tool for pasting in a pyproject.toml or requirements.txt file (or name of a GitHub repo containing those) and seeing a list of all reported vulnerabilities from that API. Tags: tools, python, supply-chain, vibe-coding, security

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