AI solves IMO problems at silver medal level
Google DeepMind\'s AI systems, AlphaProof and AlphaGeometry 2, achieved a silver-medal performance by solving four out of six problems in the International Mathematical Olympiad (IMO) 2024, marking a significant advancement in AI\'s mathematical reasoning capabilities. These systems leverage reinforcement learning and formal mathematical language to prove solutions, demonstrating potential for future collaborations between mathematicians and AI. This accomplishment highlights the ongoing efforts to improve AI\'s ability to tackle complex math problems and unlock new scientific insights.
Reverse Engineering for Everyone
This comprehensive tutorial set on reverse engineering aims to simplify the process, covering various architectures including x86, x64, 32-bit ARM, and 64-bit ARM. It is designed for beginners and those looking to refresh their knowledge in cyber-security, guiding users from foundational concepts to intermediate skills. Available for download in PDF and MOBI formats, the tutorials will be automatically updated as new content is added.
Launch HN: Undermind (YC S24) – AI agent for discovering scientific papers
Josh and Tom from Undermind are developing a search engine designed for complex scientific research, addressing the challenges they faced during their graduate studies in finding relevant literature efficiently. Their system uses an agent-like LLM pipeline that engages in conversation to understand research goals, then conducts a thorough search by following citation trails and adapting strategies, prioritizing the quality and exhaustiveness of results. They invite users to try their platform, currently offering limited free access without signup, and welcome feedback on the user experience.
Unfashionably secure: why we use isolated VMs
Thinkst Canary prioritizes customer data isolation by employing a unique architecture that utilizes isolated virtual machines (VMs) for each customer instead of a multi-tenant model, which enhances security by preventing unauthorized access to data. Although this approach incurs higher operational costs and maintenance challenges, it simplifies monitoring, ensures compliance with regulations, and limits the impact of faults or vulnerabilities to individual customers. Ultimately, Thinkst values the robust security boundary provided by this method over trendy cloud-native technologies, emphasizing that customer data privacy is paramount.
Node.js adds experimental support for TypeScript
The pull request #53725 by marco-ippolito introduces an experimental flag `--experimental-strip-types` to Node.js, allowing the execution of TypeScript files by transpiling them into JavaScript without type checking. The motivation behind this feature is to enable users to run TypeScript files directly without needing external dependencies or loaders, addressing a common request from the community. The implementation uses `@swc/wasm-typescript` for simplicity and efficiency, and future iterations may include additional features like extension guessing for better compatibility.
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