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Simon Willison used Claude Code's Ultracode mode to generate sparqlite, a Rust-written loadable SQLite extension that stores RDF quads in ordinary SQLite tables and executes SPARQL 1.1 queries and updates inside the SQLite process. By integer-encoding terms, using covering indexes, a cost-based planner, batched joins, and optional direct reads of SQLite B-trees, it is 3.5 times faster than SQL translation in count mode and 2.8 times faster when returning full results, and it passes 636 of the 639 applicable W3C evaluation tests. The author says the experiment kept Claude Code running continuously for more than 12 hours; he cannot review the resulting code and is unsure how to use this implementation built on a whim.
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The author conducted a reverse analysis of Block Blast Android 10.8.2 and iOS 7.4.9, finding that after installation the game downloads encrypted JavaScript rules from a server, among which RewardHighValueAdHarvestTrait requests an unsolvable lethal puzzle when the player has watched three rewarded ads in a row, the current ad price reaches 3.5 times the previous one, and the score exceeds the historical high score by 1000 points. The game also runs an XGBoost regression model on the phone to estimate the player's advertising value eCPM, and uses it to decide revival opportunities and ad types. The author released three evidence packages and reproduction scripts, claiming that the decoded results are byte-for-byte identical to the memory dump of the running app.
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We are open-sourcing RISE, our red-teaming algorithm that breaks the safeguards of the latest image models from OpenAI, DeepMind, and others. RISE uses readily available models like Qwen and Gemini Flash under the hood, with no additional training required. Read more: https://t.co/kt8ub0OmeW
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Your LLM agent has to think out loud, token by token, before it can search, run code, or act in the world. We humans don’t. We ponder in silence and speak when it matters. Human language was never meant to be the limit of machine thought. Introducing 🌗Hybrid Reasoning Agents - Think in latent space, act through text - Two modes, one unified multi-turn flow - No black box, fully readable latent thoughts - Any LLM can become a HybridAgent
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