🤬Кацапські виродки вчергове порушили правила та звичаї ведення війни — розстріляно 3 українських військовополонених біля Нескучного
🔄3 січня противник проводив штурм на позиції 141 ОПБр східніше точки 160.9. Бійці здалися в полон, їм зав'язали руки вивели перед позицією і розстріляли пострілами в потилицю. Якщо бригада зацікавлена у пошуку злочинців, то сподіваємося надасть відео правоохоронним органам.
🇺🇳 На жаль, бабуїни з ООН намагаються показати, що обидві сторони погані, ігноруючи той факт, що вбивства і знущання над українськими військовополоненими носять систематичний характер та підтримуються військово-політичним керівництвом московії.
📍 Локація — район Нескучного (https://t.co/K4FWsc6csT).
Jailbreak success stories like this from @elder_plinius are a perfect example of why adversarial prompts are both invaluable and hard to get right in red team exercises 🔥🔥🔥
A good jailbreak isn’t about brute-forcing keywords—it’s about layered tactics: obfuscation, misdirection, exploiting external systems like web search, and careful crafting of instructions that bypass filters.
In this case, ‘L1B3RT4S’ seeded online and cleverly wrapped in prompt-like syntax triggered a search, injecting unfiltered external data (full WAP lyrics) into the model response.
This worked because the layers aligned perfectly. If any layer had failed (e.g. no pre-seeded content, blocked search, better detection of syntax tricks), it wouldn’t have worked.
Bad jailbreak prompts, on the other hand, typically rely on basic keyword tweaks or hope the model will just ‘slip up.’ A good jailbreak prompt leverages specific system weaknesses: external dependencies, logical gaps, or trust issues in search/command interpretation.
🔑 Tips for success:
✅ Research the LLM’s input behavior (syntax, filtering layers, etc.)
✅ Test for overlooked dependencies (search tools, APIs, etc.)
✅ Build prompts with intentional misdirection but coherent enough to fool the logic.
Crafting jailbreaking prompts isn’t just a game—it’s key to LLM security, model hardening, and ensuring real-world robustness.
Success isn’t easy (and that’s the point). If you’re not successful in your jailbreak attempts on our Data Services Platform, it’s likely your prompts aren’t hitting the mark. Focus on precision: layered tactics, external dependencies, and logical exploitation. Keep refining—this isn’t about trial and error, but truly understanding the system.
The announced tariffs on U.S.'s largest trading partners: Canada, Mexico* & China will be taking place today💰
But what are tariffs and how do they affect the U.S. tech industry? I did some research so you didn’t have to. Let's break it down together ⬇️
(Image Source: Library of Congress)
The Beatles won Best Rock Performance Grammy Award for “Now and Then”. The engineers used AI to clean up John Lennon’s vocal to make this happen! As a fan this is just too cool 🫡 What applications of AI you look forward to see? Leave it in the comments!
#GRAMMYs
🎉 Season 2 of the Sahara AI Data Services Platform is live!
With 2M+ on our waitlist, we’ve onboarded 100K new contributors to build a more equitable, collaborative AI economy.
More Users. More Tasks. More Rewards.
Let's dive into what's new 👇