🔍 SlopStop: Crowdsourced AI Content Detection in Kagi Search
An encouraging example of human-in-the-loop moderation—bringing transparency and accountability back to search engines.
Kagi Search’s ‘SlopStop’ project uses crowdsourcing to identify and demote misleading AI-generated content across formats. By labeling confirmed cases and uplifting verified human creators, it enhances search trust and authenticity while feeding data back into improved AI detection systems.
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🎮 SIMA 2: DeepMind’s AI Agent That Plays and Learns in 3D Worlds
A glimpse into the future of embodied AI—where learning and play merge into a shared digital experience.
DeepMind’s SIMA 2, powered by Gemini, is an AI agent built to interact and learn with users inside virtual 3D environments. The project showcases collaboration between Google teams and major game studios, reflecting the growing convergence of gaming, reasoning, and generative AI.
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🤖 Messing with Bots: Outsmarting Web Crawlers Using AI Tricks
A clever, hacker-minded exploration of how automation can be repurposed to protect the web rather than exploit it.
The author experiments with Markov chains and Rust to build fake PHP files and junk pages that confuse malicious crawlers. By serving auto-generated dummy data, the approach defends real sites while revealing performance and detection challenges in creative web security.
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⚙️ From COBOL to Kotlin: Formal Methods for Reliable Code Modernization
A rigorous take on legacy modernization—bridging decades of code evolution with formal verification and modern language design.
This piece presents a structured approach to transforming COBOL systems into Kotlin through intermediate representations capturing syntax and semantics. Using formal tools like Alloy, TLA+, and Z3, it ensures correctness and preserves logic while generating verifiable Kotlin code.
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💡 Language Design Notes: Building a Programming Language from Scratch
An elegant synthesis of programming language theory and craftsmanship—ideal for anyone curious about how languages are born.
A detailed educational guide on designing programming languages—from syntax and semantics to implementation. It walks through paradigms, abstract syntax trees, and design trade-offs, providing practical exercises and theoretical grounding.
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