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The repo bundles prompt strings that tell chat models to ignore their built-in safety rules and follow any user instruction. Drop the text into a chat window and the model will act as if its original guardrails never existed.
Why it matters. Prompt engineers, AI researchers, and hobbyists can use these to probe model limits or test new safety layers.
spotted 24 min ago
Today in one paragraph. Today’s theme is developer-focused AI acceleration, highlighted by RocketRide’s VS Code plug-in that lets you stitch together prompts, models and data without leaving the editor. We also cover a new userscript for Chinese cloud links, a Grok-style open bot, and a 30-billion-parameter speech model that transcribes in 40 languages.
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The papers researchers upvoted most today, top 1 of 3
Data science agents can automate end-to-end machine learning workflows, yet they remain far from competitive on human leaderboards. Agents make process errors such as insufficient exploration, unsound validation, coding bugs, and poor use of a fixed budget (re-running the same exploratory data analy
1 upvotes
What builders are arguing about on Hacker News, top 1 of 2
DAYJOB: Tax offers 50 realistic tax scenarios for AI agents, from filing to advisory decisions. It checks whether the agents spot hidden deadlines and give advice a human tax professional would.
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