OpenAI releases policy proposals aimed at addressing fallout from AI-driven job losses - Yahoo Finance
OpenAI releases policy proposals aimed at addressing fallout from AI-driven job losses Yahoo Finance
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Styx: Collaborative and Private Data Processing With TEE-Enforced Sticky Policy
arXiv:2604.04082v1 Announce Type: new Abstract: Protecting sensitive information in data-driven collaborations, such as AI training, while meeting the diverse requirements of multiple mutually distrusted stakeholders, is both crucial and challenging. This paper presents Styx, a novel framework to address this challenge by integrating sticky policies with Trusted Execution Environments (TEEs). At a high level, Styx employs a hardware-TEE-protected middleware with a programming language runtime to form a sandboxed environment for both the data processing and policy enforcement. We carefully designed a data processing workflow and pipelines to enable a strong yet flexible data-specific policy enforcement throughout the entire data lifecycle and data derivation to achieve data-in-use protectio
A Validated Taxonomy on Software Energy Smells
arXiv:2604.04809v1 Announce Type: new Abstract: As software proliferates across domains, its aggregate energy footprint has become a major concern. To reduce software's growing environmental footprint, developers need to identify and refactor energy smells: source code implementations, design choices, or programming practices that lead to inefficient use of computing resources. Existing catalogs of such smells are either domain-specific, limited to performance anti-patterns, lack fine-grained root cause classification, or remain unvalidated against measured energy data. In this paper, we present a comprehensive, language-agnostic, taxonomy of software energy smells. Through a systematic literature review of 60 papers and exhaustive snowballing, we coded 320 inefficiency patterns into 12 pr
C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development -- RCR Report
arXiv:2604.04112v1 Announce Type: new Abstract: This is the Replicated Computational Results (RCR) Report for the paper C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development. The paper introduces a modular, hardware-agnostic framework that translates classical problem specifications - Python code or structured JSON - into executable quantum programs across ten problem families and multiple hardware backends. We release the framework source code on GitHub at https://github.com/C2-Q/C2Q, a pretrained parser model on Zenodo at https://zenodo.org/records/19061125, evaluation data in a separate Zenodo record at https://zenodo.org/records/17071667, and a PyPI package at https://pypi.org/project/c2q-framework/ for lightweight CLI and API use. Experiment 1 is supported
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#30 Remembered by the Scent of Cherry Blossoms
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OpenAI launched a safety fellowship
The OpenAI Safety Fellowship, announced on 6 April 2026, is a pilot programme for external researchers to conduct independent work on AI safety and alignment. It runs from September 2026 to February 2027. It was posted to social media hours after a Ronan Farrow investigation in The New Yorker reported that OpenAI had dissolved its [ ] This story continues at The Next Web
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[Paper] Stringological sequence prediction I
TLDR: The first in a planned series of three or more papers, which constitute the first major in-road in the compositional learning programme, and a substantial step towards bridging agent foundations theory with practical algorithms. Official Abstract: We propose novel algorithms for sequence prediction based on ideas from stringology. These algorithms are time and space efficient and satisfy mistake bounds related to particular stringological complexity measures of the sequence. In this work (the first in a series) we focus on two such measures: (i) the size of the smallest straight-line program that produces the sequence, and (ii) the number of states in the minimal automaton that can compute any symbol in the sequence when given its position in base mjx-container[jax="CHTML"] { line-he
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