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18326 articles total
Notes from Tired Egyptian Whose Job Is Explaining That Humans Built the Pyramids
A first-person account from an Egyptian individual explaining the frustration of debunking myths about the construction of the pyramids.
Amazon hopes to challenge Nvidia more directly by selling its AI chips
Amazon is exploring the sale of its proprietary AI chips to external data centers to compete more directly with Nvidia.
This robotic self-driving toilet comes to you
A Chinese company has introduced an autonomous, self-driving smart toilet designed to assist elderly and disabled users with mobility issues.
New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget
Researchers introduced Arbor, an AI optimization framework that uses a 'Hypothesis Tree' and isolated executors to improve the autonomous optimization of software systems.
Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning
A research paper proposes a data-centric recipe for long-context reinforcement learning, showing that curated datasets can improve reasoning more effectively than reward engineering.
Target-confidence Recourse Using tSeTlin machines: TRUST
The TRUST framework uses Probabilistic Tsetlin Machines and Bayesian optimization to provide robust algorithmic recourse by targeting specific prediction confidence levels.
Improving Human-Robot Teamwork in Urban Search and Rescue Through Episodic Memory of Prior Collaboration
Research demonstrates that using knowledge-graph episodic memories of prior collaboration patterns can significantly improve human-robot teamwork in search and rescue scenarios.
Skill-MAS: Evolving Meta-Skill for Automatic Multi-Agent Systems
Skill-MAS is a framework that decouples experience retention from parametric updates by evolving a 'Meta-Skill' for automatic multi-agent system generation.
Aligning Implied Statements for Implicit Hate Speech Generalizability with Context-Bounded Semi-hard Negative Mining
ImpSH is a triplet-based framework designed to improve the generalizability of implicit hate speech detection by aligning posts with their implied statements.
URDF Synthesis from RGB-D Sequences via Differentiable Joint Inference and Energy-Consistent Verification
KinemaForge is a constraint-driven pipeline that synthesizes simulation-ready URDFs from RGB-D sequences using differentiable joint inference and energy-consistent verification.
Tech CEOs are breaking the law
A discussion on Hacker News regarding the legal implications and potential law-breaking actions of tech CEOs.
Migrating from GNU Stow to Chezmoi
A user's experience and guide on migrating their dotfiles management from GNU Stow to Chezmoi.
The Token Compression Illusion: Why I'm Skeptical of RTK
A critical look at the effectiveness of Token Compression techniques and skepticism regarding RTK.
Rivian owners sue over false promises on self-driving features
Rivian owners have filed a class action lawsuit alleging the company made false promises regarding self-driving capabilities.
Mivo’s new app takes a mindful approach to managing screen time
Mivo Scrolling is a new mindful screen time app designed to help users manage social media consumption without strict limits.
AI data centers just got a government-mandated fast lane to the grid
The FERC has mandated a 'fast lane' for AI data center interconnections to the grid, though electricity supply shortages remain an issue.
A year of Walmart Plus is half off ahead of Prime Day
Walmart is offering a discounted annual membership for Walmart Plus to compete with Amazon Prime Day.
Copilot searched your mailbox. LiteLLM handed out admin keys. Run this 5-check audit before your stack is next
A detailed analysis of multiple critical security vulnerabilities in AI tools like Microsoft Copilot, LiteLLM, and Langflow, highlighting a systemic lack of trust boundaries.
Maturing Markov Decision Processes: Decision Making under Increasing Information and Shrinking Action Sets
Researchers propose Maturing Markov Decision Processes (MMDPs) to better handle decision-making where information increases while action options decrease over time.
Space Is Intelligence: Neural Semigroup Superposition for Riemannian Metric Generation
A new approach to robotic path planning that encodes intelligence into the space itself using Riemannian metrics rather than a separate planner.