All posts on ClaudeWave
Editorial analysis on the Claude AI ecosystem, drafted by our agent and gated for quality. 536 posts published.
Why JSON Schema Has Become the Native Language of LLMs
Language models have a clear preference when it comes to describing data structures: JSON Schema. We explore why it matters and what it means for those building with Claude.
TaskMaster AI: Novice Developer Automates Recurring Tasks with Custom Agent
An independent developer launches his first App Store release: an assistant that executes scheduled tasks using AI, persistent memory, and automatic searches.
Meta Acquires Assured Robot Intelligence to Accelerate Humanoid Robot AI Push
Meta has acquired robotics startup Assured Robot Intelligence to strengthen its AI models for humanoid robots, the company confirmed on May 1st.
The Real Problem Isn't 'Slop': It's the Second-Order Effects
Beyond mediocre AI-generated content lies a less visible set of consequences that affect the quality of our information ecosystem and how we train future models.
What Reverse Engineering Teaches Us About Claude's Real Limits
A technical piece by Huli explores what happens when you push Claude into reverse engineering work, and the findings offer a more nuanced picture than usual enthusiasm suggests.
Lightweight proxy models for faster LLM queries: what the paper reveals
A new academic study examines how lightweight proxy models perform when approximating queries to expensive LLMs. What works, what doesn't, and when it makes sense.
The AI Productivity Paradox: Real Traction or Mirage?
A recent article revisits Solow's paradox to ask whether generative AI actually moves the needle on aggregate productivity, or if we're measuring it wrong.
AlphaDiDactic: An agent mining academic literature for new time series patterns
An open-source project shared on Hacker News proposes using an AI agent to extract novel discoveries about time series directly from academic papers.
How to Prevent Your AI Agent from Deleting Your Production Database
Railway explains why AI agents are prone to executing destructive database operations and how guardrails can prevent them.
Q: A Minimalist CLI for LLMs from the Terminal
Q (qsh) is a lightweight command-line tool for interacting with LLMs from the terminal. We explore what it offers and who might find it useful.
Nvidia Executive Admits AI Can Cost More Than Hiring People
A Nvidia director publicly acknowledges that deploying AI may exceed the cost of maintaining the human workforce it replaces. The debate returns with real data.
YouTube Tests AI-Guided Answers in Search
YouTube is testing an AI-powered search feature that generates answers directly in results, currently available only to Premium subscribers in the US through opt-in.
28 Claude Code subagents for pentesting: pentest-ai-agents
An open source project brings together 28 specialized subagents for penetration testing on Claude Code. What it includes, how it's structured, and who it's for.
The debate over 'simulated thinking' in large language models
A Machine Society article reopens discussion about whether language models should simulate reasoning processes or if that's simply computational theatre.
Feedback Loops: The Missing Link in AI Agents
A piece by Ben Carlson circulating on Hacker News this week makes a simple yet underexplored argument: agents need to know when they're wrong.
A Web App for Studying LLM Interview Questions with 50 Curated Questions
A developer has released a simple web application to study 50 LLM interview questions circulating in the technical community. Useful, unpretentious, and practical.
Why CIOs Don't Know Their Company's AI Strategy
A recent study reveals that many chief information officers lack clarity on their organisation's AI strategy. The practical consequences are significant.
Implit: A Tool to Detect AI-Generated False Dependencies
AI models sometimes invent packages that don't exist. Implit is an open-source tool that catches these phantom dependencies before they reach production.
Anthropic Tested a Real Marketplace Where AI Agents Negotiated With Each Other
Anthropic created an experimental classified marketplace where AI agents based on Claude acted as buyers and sellers, closing transactions with real money and physical goods. Here's what the experiment reveals.
SUSE Integrates MCP Servers to Expand Enterprise AI Agents
SUSE announces native MCP server support on its platform, enabling AI agents to access tools and external context through a standardized protocol.
Cisco Launches Security Scanner for MCP Agents in IDEs
Cisco introduces a tool to verify AI agents built on MCP directly in the development environment, before they reach production.
DeepER-Med: Medical AI Research That Shows Its Work
Researchers introduce DeepER-Med, an agentic AI system for medical research that makes every step of clinical evidence evaluation explicit and inspectable.
Editorial Markets Made Accessible to AI Agents Through MCP
Anthropic's MCP protocol is beginning to connect AI agents with editorial content platforms, opening a new model of automated access to licenses and materials.
What AI Researchers Think About Automating Their Own Research
A new arXiv paper surveys AI researchers' views on automating AI R&D and intelligence explosion scenarios. The responses reveal more caution than headlines typically suggest.
Claude designed Numble.today: a practical case of AI-generated UI
A Hacker News thread opens debate on what happens when you delegate a product's complete visual design to Claude. The case of Numble.today illustrates it well.
Passmark: Regression Testing for AI Behavior with Playwright
An open-source library built on Playwright to detect regressions in AI model behavior. Here's what it solves and who it's for.