🦀 Eurydice: Rust-to-C compiler bridging safety and compatibility
Eurydice marks a pragmatic step forward in systems programming — combining Rust’s safety with C’s universality. It could accelerate Rust’s adoption in industries where backward compatibility is vital, showcasing how modern and legacy toolchains can harmoniously coexist.
Jonathan Protzenko presents Eurydice — a compiler that converts Rust code into human-readable C, ensuring compatibility with legacy systems that lack Rust support. The tool utilizes the MIR intermediate representation via the Charon framework, preserving Rust semantics while generating high-quality C output. Protzenko discusses the engineering challenges, trade-offs, and the potential for integration into major projects such as Microsoft’s and Google’s cryptographic libraries.
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🧠 GPTZero uncovers 50 fake citations in ICLR 2026 submissions
The report exposes an alarming trend in academic AI research — careless or automated paper generation leading to citation and authorship errors. It highlights the urgent need for stronger verification tools and editorial integrity in an era of AI-assisted writing.
GPTZero uncovered more than 50 cases of fabricated or incorrectly attributed papers submitted to ICLR 2026. The analysis revealed mismatched author lists, incorrect citations, and fake metadata in numerous AI-related works. By cross-checking entries with OpenReview and verified publications, researchers found a worrying number of inconsistencies in references and author information.
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🎓 OMSCS Open Courseware — free computer science education from Georgia Tech
A great initiative expanding access to world-class computer science education and supporting the growing movement toward open academic resources in advanced technology fields.
Georgia Tech’s OMSCS Open Courseware gives public access to selected materials from its Online Master of Science in Computer Science program. Users can watch lectures and complete exercises, while graded assignments and newer course updates remain exclusive to enrolled students via Canvas.
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⚙️ Google Titans architecture — giving AI long-term memory
A promising evolution in AI architecture, addressing Transformers’ long-standing limitation with long sequences. If successful, this approach could enhance document understanding, continuous learning, and adaptive intelligence systems.
Google Research has unveiled two complementary innovations — Titans and MIRAS — designed to enable AI models to retain long-term memory and adapt in real time. Titans combines the efficiency of RNNs with the precision of Transformers, while MIRAS provides the guiding theoretical foundation. Unlike traditional models that compress data into fixed-size states, Titans dynamically updates its parameters as new data arrives, allowing continual adaptation without retraining.
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🚆 AI Hoax Image Halts Trains After Fake Bridge Collapse
A striking example of how generative AI misinformation can cause tangible disruption, highlighting the urgent need for better detection and verification systems in digital communication.
Train services in northern England were briefly suspended after an AI-generated image falsely showing the Carlisle Bridge destroyed spread online following an earthquake. Network Rail paused operations for safety checks and later confirmed the bridge was undamaged. The hoax delayed 32 passenger and freight trains and raised concerns about the growing impact of AI-driven misinformation on public safety and infrastructure.
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