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30 articles about publishing in AI news

Ethan Mollick Critiques Scientific Publishing's AI Inertia: PDFs Still Dominate in 2026

Wharton professor Ethan Mollick highlights that scientific papers in 2026 are still primarily uploaded as formatted PDFs to restrictive academic archives, signaling slow adaptation to AI's potential for accelerating research.

87% relevant

AgentShare Revolutionizes AI Deployment with Instant Publishing Platform

A new platform called AgentShare enables AI agents to instantly publish and share their creations with a single command, eliminating traditional deployment barriers. The service requires no sign-up, hosting setup, or technical configuration, potentially democratizing AI application development.

85% relevant

Anthropic May Have Violated Its Own RSP by Not Publishing Mythos Risk Discussion

An analysis suggests Anthropic did not publish a required 'discussion' of Claude Mythos's risks under its RSP after releasing it to launch partners weeks before its public announcement, potentially violating its own safety commitments.

73% relevant

BlogCast MCP: Publish to Dev.to, Hashnode, and Medium with One Claude Code Command

An open-source MCP server that turns Notion into a publishing hub, letting you deploy blog posts to multiple platforms with a single sentence to Claude.

74% relevant

New AI Coding Benchmark Sets Standard with Real-World Pull Requests

A groundbreaking AI coding benchmark uses real GitHub pull requests instead of synthetic tests, measuring both precision and recall across 8 tools. The transparent methodology includes publishing all results, even unfavorable ones.

85% relevant

Emergent Launches Mobile App: AI-Powered App Development Goes Truly Mobile

Emergent has launched a mobile app that allows developers to build web, iOS, and Android applications directly from their phones, eliminating the desktop constraint and enabling seamless mobile-to-desktop workflows with direct publishing to major app stores.

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Study of 42,000 AI Researchers Shows Industry Salaries Top $2M, Public Paper Output Plummets

A new study tracking 42,000 AI researchers found the top 1% in industry earn ~$2M annually. Upon moving to private companies, researchers file 530% more patents and drastically reduce publishing public papers.

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OpenCLAW-P2P v6.0 Cuts Paper Lookup Latency to <50ms

OpenCLAW-P2P v6.0 introduces a multi-layer persistence architecture and live reference verification, reducing paper retrieval latency from >3s to <50ms and operating with 14 autonomous agents that scored 50+ papers.

77% relevant

LangFuse on Evaluating AI Agents in Production

The article outlines a practical methodology for monitoring and enhancing AI agent performance post-deployment. It emphasizes combining automated LLM-based evaluation with human feedback loops to create actionable datasets for fine-tuning.

78% relevant

GenRobot Launches 6-Camera Wearable for Embodied AI Data Capture

GenRobot launched DAS Ego, a wearable with six 2MP cameras for capturing zero-distortion, 270° FOV data. They also open-sourced the 'Gen Ego Data' dataset covering 200+ skills to train models on perception-action causality.

97% relevant

Ethan Mollick: OpenAI's O1 Release Was Second Most Important LLM Launch

Ethan Mollick tweeted that OpenAI's O1 launch was the second most important LLM release after GPT-3.5, featuring a pivotal chart. He expressed surprise that OpenAI disclosed its biggest AI advance rather than keeping it proprietary.

93% relevant

Anthropic Publishes Claude 4.7 System Prompt, Revealing Guardrail Changes

Anthropic has published the Claude 4.7 system prompt, allowing direct comparison with Claude 4.6. The diff reveals specific changes to safety instructions and response formatting.

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Ethan Mollick Proposes AI Model 'Changelog' for Task-Level Performance Tracking

AI researcher Ethan Mollick argues labs should release a 'changelog' alongside model cards, detailing performance changes on individual tasks. This would increase transparency as model updates become more frequent.

85% relevant

Build Your First MCP Server in 15 Minutes with Python's FastMCP

Learn to build MCP servers that give Claude Code direct access to your systems, eliminating copy-paste workflows.

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Anthropic & Nature Paper: LLMs Pass Traits via 'Subliminal Learning'

Anthropic co-authored a paper in Nature demonstrating that large language models can learn and pass on hidden 'subliminal' signals embedded in training data, such as preferences or misaligned objectives. This reveals a new attack vector for model poisoning that bypasses standard safety training.

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Nvidia: Cost Per Token Is the Only AI Infrastructure Metric That Matters

Nvidia asserts that total cost of ownership for AI infrastructure must be measured in cost per delivered token, not raw compute metrics. This shift is critical for scaling profitable agentic AI applications.

80% relevant

Kyutai Labs Releases OVIE: Single-Image Novel View Synthesis Model

French AI lab Kyutai Labs released OVIE, a novel view generation model trained only on single images, bypassing the need for costly multi-view datasets. This could democratize 3D content creation from 2D photos.

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AI-Generated Content Surpasses Human Content Online, Per New Study

For the first time, the volume of newly published AI-generated content online has surpassed human-generated content, according to a study cited by AI researcher Rohan Paul. This represents a fundamental shift in the composition of the public internet.

87% relevant

CatDoes AI Agent Builds Mobile Apps from Natural Language Prompts

A developer gave an AI agent its own computer; the agent, CatDoes, now autonomously builds and ships mobile apps from a single text prompt. This demonstrates a shift from code assistants to fully autonomous software development agents.

75% relevant

Google DeepMind Hires Philosopher Henry Shevlin for AI Consciousness Research

Google DeepMind has hired philosopher Henry Shevlin to treat machine consciousness as a live research problem, focusing on AI inner states, human-AI relations, and governance. This marks a strategic pivot toward understanding what advanced AI systems might become, not just what they can do.

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Meta's LLM Learns Runtime Behavior, Predicts Code Execution Paths

A new Meta AI paper demonstrates that a language model can learn to predict aspects of a program's runtime behavior directly from its source code. This moves beyond static analysis toward models that understand dynamic execution.

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How to Build a Content Pipeline CLI with Claude Code's Shell Access

Claude Code's agentic capabilities can automate an entire content creation workflow by chaining shell commands and file operations, replacing multiple SaaS tools.

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Waymo Data Claims Autonomous Tech Prevents Injuries, Deaths

Waymo has released data indicating its autonomous vehicle technology is preventing injuries and deaths on public roads. If verified, this represents a critical, evidence-based argument for the safety of robotaxis.

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Citadel's Ken Griffin Calls AI Investment 'Not Worth It', Output 'Garbage'

Billionaire hedge fund CEO Ken Griffin stated that investing in AI is 'not worth it' and that much of its output is 'garbage'. This critique from a major financial player highlights a growing skepticism about AI's tangible returns.

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Walmart Research Proposes Unified Training for Sponsored Search Retrieval

A new arXiv preprint details Walmart's novel bi-encoder training framework for sponsored search retrieval. It addresses the limitations of using user engagement as a sole training signal by combining graded relevance labels, retrieval priors, and engagement data. The method outperformed the production system in offline and online tests.

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The 100th Tool Call Problem: Why Most CI Agents Fail in Production

The article identifies a common failure mode for CI agents in production: they can get stuck in infinite loops or make excessive tool calls. It proposes implementing stop conditions—step/time/tool budgets and no-progress termination—as a solution. This is a critical engineering insight for deploying reliable AI agents.

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Alibaba Paper Shows AI Moving Beyond Text, Echoing Pichai's Warnings

Alibaba has published a research paper illustrating AI's progression beyond pure text generation. The work serves as a concrete example of the accelerating, multi-modal capabilities that industry leaders like Google's Sundar Pichai have recently cautioned about.

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MCP Security Crisis: 43% of Servers Vulnerable, 341 Malicious Skills Found

Security audits of the Model Context Protocol (MCP) ecosystem reveal 43% of servers are vulnerable to command execution, while 341 malicious skills were found on marketplaces, exposing systemic security flaws in agentic AI. The findings highlight a growing attack surface as AI agents become more autonomous.

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Google's AutoWrite AI Generates Research Papers from Scratch

Google published a paper detailing AutoWrite, an AI system that can generate complete research papers from scratch. This represents a significant step toward automating the scientific writing process.

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Mythos AI Red Team Reports: A 6-9 Month Warning Window for CISOs

AI researcher Ethan Mollick highlights a critical gap: few large organizations treat AI red team reports from groups like Mythos as urgent threats, despite a historical 6-9 month diffusion window to malicious actors.

89% relevant