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[2604.16399] IACDM: Interactive Adversarial Convergence Development Methodology -- A Structured Framework for AI-Assisted Software Development
Machine Learning

[2604.16399] IACDM: Interactive Adversarial Convergence Development Methodology -- A Structured Framework for AI-Assisted Software Development

Abstract page for arXiv paper 2604.16399: IACDM: Interactive Adversarial Convergence Development Methodology -- A Structured Framework fo...

arXiv - AI · 4 min ·
[2603.09117] Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
Llms

[2603.09117] Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards

Abstract page for arXiv paper 2603.09117: Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Ve...

arXiv - AI · 3 min ·
[2602.11084] GRASP: group-Shapley feature selection for patients
Machine Learning

[2602.11084] GRASP: group-Shapley feature selection for patients

Abstract page for arXiv paper 2602.11084: GRASP: group-Shapley feature selection for patients

arXiv - AI · 3 min ·

All Content

[2604.04996] Learning-Based Multi-Criteria Decision Making Model for Sawmill Location Problems
Machine Learning

[2604.04996] Learning-Based Multi-Criteria Decision Making Model for Sawmill Location Problems

Abstract page for arXiv paper 2604.04996: Learning-Based Multi-Criteria Decision Making Model for Sawmill Location Problems

arXiv - Machine Learning · 3 min ·
[2604.04988] Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression
Machine Learning

[2604.04988] Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression

Abstract page for arXiv paper 2604.04988: Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression

arXiv - AI · 4 min ·
[2604.04987] Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling
Llms

[2604.04987] Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling

Abstract page for arXiv paper 2604.04987: Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling

arXiv - AI · 3 min ·
[2604.04986] Enhancing sample efficiency in reinforcement-learning-based flow control: replacing the critic with an adaptive reduced-order model
Machine Learning

[2604.04986] Enhancing sample efficiency in reinforcement-learning-based flow control: replacing the critic with an adaptive reduced-order model

Abstract page for arXiv paper 2604.04986: Enhancing sample efficiency in reinforcement-learning-based flow control: replacing the critic ...

arXiv - Machine Learning · 4 min ·
[2604.04983] Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO
Machine Learning

[2604.04983] Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO

Abstract page for arXiv paper 2604.04983: Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO

arXiv - Machine Learning · 4 min ·
[2604.04971] A Theory-guided Weighted $L^2$ Loss for solving the BGK model via Physics-informed neural networks
Machine Learning

[2604.04971] A Theory-guided Weighted $L^2$ Loss for solving the BGK model via Physics-informed neural networks

Abstract page for arXiv paper 2604.04971: A Theory-guided Weighted $L^2$ Loss for solving the BGK model via Physics-informed neural networks

arXiv - Machine Learning · 3 min ·
Anthropic's latest AI model identifies 'thousands of zero-day vulnerabilities' in 'every major operating system and every major web browser' — Claude Mythos Preview sparks race to fix critical bugs, some unpatched for decades
Llms

Anthropic's latest AI model identifies 'thousands of zero-day vulnerabilities' in 'every major operating system and every major web browser' — Claude Mythos Preview sparks race to fix critical bugs, some unpatched for decades

AI Tools & Products · 6 min ·
Thinking small: How small language models could lessen the AI energy burden
Llms

Thinking small: How small language models could lessen the AI energy burden

AI Tools & Products · 5 min ·
Machine Learning

Anthropic says its most powerful AI cyber model is too dangerous to release publicly — so it built Project Glasswing

AI Tools & Products ·
China is copying U.S. AI models — American companies say it is costing them billions of dollars
Machine Learning

China is copying U.S. AI models — American companies say it is costing them billions of dollars

Rival U.S. firms are sharing information to detect so-called adversarial distillation attempts that violate their terms of service.

AI Tools & Products · 7 min ·
Llms

Continuous Knowledge Transfer Between Claude and Codex

For the last 8 months I've developed strictly using Claude Code, setting up context layers, hooks, skills, etc. But relying on one model ...

Reddit - Artificial Intelligence · 1 min ·
Anthropic says its latest AI model is too powerful for public release and that it broke containment during testing
Machine Learning

Anthropic says its latest AI model is too powerful for public release and that it broke containment during testing

AI Tools & Products · 5 min ·
Llms

Claude on Claude

The Story of Anthropic’s Latest Controversies Regarding the Business of Its Prized Creation… As Told by the Thing Itself. Editor’s note: ...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

This OpenClaw paper shows why agent safety is an execution problem, not just a model problem

Paper: https://arxiv.org/abs/2604.04759 This OpenClaw paper is one of the clearest signals so far that agent risk is architectural, not j...

Reddit - Artificial Intelligence · 1 min ·
Llms

"Authoritarian Parents In Rationalist Clothes": a piece I wrote in December about alignment

Posted today in light of the Claude Mythos model card release. Originally I wrote this for r/ControlProblem but realized it was getting o...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[D] Your Agent, Their Asset: Real-world safety evaluation of OpenClaw agents (CIK poisoning raises attack success to ~64–74%)

Paper: https://arxiv.org/abs/2604.04759 This paper presents a real-world safety evaluation of OpenClaw, a personal AI agent with access t...

Reddit - Machine Learning · 1 min ·
Anthropic debuts preview of powerful new AI model Mythos in new cybersecurity initiative
Machine Learning

Anthropic debuts preview of powerful new AI model Mythos in new cybersecurity initiative

The new model will be used by a small number of high-profile companies to engage in defensive cybersecurity work.

TechCrunch - AI · 5 min ·
I can't help rooting for tiny open source AI model maker Arcee | TechCrunch
Llms

I can't help rooting for tiny open source AI model maker Arcee | TechCrunch

Arcee is a tiny 26-person U.S. startup that built a high-performing, massive, open source LLM. And it's gaining popularity with OpenClaw ...

TechCrunch - AI · 4 min ·
Machine Learning

We have an AI agent fragmentation problem

Every AI agent works fine on its own — but the moment you try to use more than one, everything falls apart. Different runtimes. Different...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Using AI properly

AI is a tool. Period. I spent decades asking forums for help in writing HTML code for my website. I wanted my posts to self-scroll to a p...

Reddit - Artificial Intelligence · 1 min ·
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