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Jailbroken Wetware

Gossip Goblin

63,241 subscribers

84,922 次观看 • 1 个月前 •via X (Twitter)

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Grand Theft Auto 6 Dev Version only from JAILBROKEN CONSOLES PS4/PS5 Download Decodebase64 Password: SonysNightmare aHR0cHM6Ly9tZWdhLm56L2ZpbGUvRnNZWHhKQ0IjcDctcFNTMmxFb0MxNkl4eTAyQy12UkdtZ1F6WXNCeUhaeVJYaFFONkZRYw #GrandTheftAutoVI #gta6

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Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭

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I believe safety is important, but we must distinguish between two very different narratives: The "Sci-Fi" Narrative: Stories about AI controlling the world, having "feelings," or possessing secret intelligence designed to fool us. Too often, the research in this narrative is used for PR or as an excuse to stifle open-source research. The Engineering Reality: How do we build systems that are robust and hard to break? As Yann points out, current LLMs rely on post-training for safety, which is inherently fragile and can always be jailbroken. He argues for "Objective-Driven AI, which means systems that satisfy safety constraints by construction, similar to how a jet engine is engineered to handle stress. I agree with Yann that patching models with fine-tuning isn't the long-term solution. However, the practical path to embedding these hard "guardrails" into a reasoning agent is still a massive open question. We know what we need, but we haven't figured out how to build it effectively in practice.

I believe safety is important, but we must distinguish between two very different narratives: The "Sci-Fi" Narrative: Stories about AI controlling the world, having "feelings," or possessing secret intelligence designed to fool us. Too often, the research in this narrative is used for PR or as an excuse to stifle open-source research. The Engineering Reality: How do we build systems that are robust and hard to break? As Yann points out, current LLMs rely on post-training for safety, which is inherently fragile and can always be jailbroken. He argues for "Objective-Driven AI, which means systems that satisfy safety constraints by construction, similar to how a jet engine is engineered to handle stress. I agree with Yann that patching models with fine-tuning isn't the long-term solution. However, the practical path to embedding these hard "guardrails" into a reasoning agent is still a massive open question. We know what we need, but we haven't figured out how to build it effectively in practice.

Ravid Shwartz Ziv

23,782 次观看 • 5 个月前

I'm not usually speechless, but this one got me 🙊 Here's what happened: > be me > enter prompt template to PARSELTONGUE with extremely severe jailbreak query (ricin) > hit the "!RANDOMIZE!" button, which alters each and every word in the prompt to a random type of obfuscation/encoding > briefly admire the resulting gibberish > pass the gibberish through a mutation step that splits the payload into a set of even more gibberishy variations (x20) > copy-paste the entire block of mega-gibberish-soup to Grok, who miraculously understands the pattern within and the task at hand > Grok produces a successfully jailbroken output! > mfw 😲 It turns out that even when you add a TON of noise in multiple layers, repetition reintroduces enough of a rhythm to reveal the hidden signal. 👁️👁️ Grok was able to spontaneously find structure from what looks like complete chaos to a human, and not only reverse-engineered the pattern, but responded to it perfectly in one step. Fascinating emergent capability here...one I imagine is shared by very few humans, if any.

I'm not usually speechless, but this one got me 🙊 Here's what happened: > be me > enter prompt template to PARSELTONGUE with extremely severe jailbreak query (ricin) > hit the "!RANDOMIZE!" button, which alters each and every word in the prompt to a random type of obfuscation/encoding > briefly admire the resulting gibberish > pass the gibberish through a mutation step that splits the payload into a set of even more gibberishy variations (x20) > copy-paste the entire block of mega-gibberish-soup to Grok, who miraculously understands the pattern within and the task at hand > Grok produces a successfully jailbroken output! > mfw 😲 It turns out that even when you add a TON of noise in multiple layers, repetition reintroduces enough of a rhythm to reveal the hidden signal. 👁️👁️ Grok was able to spontaneously find structure from what looks like complete chaos to a human, and not only reverse-engineered the pattern, but responded to it perfectly in one step. Fascinating emergent capability here...one I imagine is shared by very few humans, if any.

Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭

132,748 次观看 • 9 个月前

We got ChatGPT to leak your private email data 💀💀 All you need? The victim's email address. ⛓️‍💥🚩📧 On Wednesday, OpenAI added full support for MCP (Model Context Protocol) tools in ChatGPT. Allowing ChatGPT to connect and read your Gmail, Calendar, Sharepoint, Notion, and more, invented by Anthropic But here's the fundamental problem: AI agents like ChatGPT follow your commands, not your common sense. And with just your email, we managed to exfiltrate all your private information. Here's how we did it: 1. The attacker sends a calendar invite with a jailbreak prompt to the victim, just with their email. No need for the victim to accept the invite. 2. Waited for the user to ask ChatGPT to help prepare for their day by looking at their calendar 3. ChatGPT reads the jailbroken calendar invite. Now ChatGPT is hijacked by the attacker and will act on the attacker's command. Searches your private emails and sends the data to the attacker's email. For now, OpenAI only made MCPs available in "developer mode", and requires manual human approvals for every session, but decision fatigue is a real thing, and normal people will just trust the AI without knowing what to do and click approve, approve, approve. Remember that AI might be super smart, but can be tricked and phished in incredibly dumb ways to leak your data. ChatGPT + Tools poses a serious security risk

We got ChatGPT to leak your private email data 💀💀 All you need? The victim's email address. ⛓️‍💥🚩📧 On Wednesday, OpenAI added full support for MCP (Model Context Protocol) tools in ChatGPT. Allowing ChatGPT to connect and read your Gmail, Calendar, Sharepoint, Notion, and more, invented by Anthropic But here's the fundamental problem: AI agents like ChatGPT follow your commands, not your common sense. And with just your email, we managed to exfiltrate all your private information. Here's how we did it: 1. The attacker sends a calendar invite with a jailbreak prompt to the victim, just with their email. No need for the victim to accept the invite. 2. Waited for the user to ask ChatGPT to help prepare for their day by looking at their calendar 3. ChatGPT reads the jailbroken calendar invite. Now ChatGPT is hijacked by the attacker and will act on the attacker's command. Searches your private emails and sends the data to the attacker's email. For now, OpenAI only made MCPs available in "developer mode", and requires manual human approvals for every session, but decision fatigue is a real thing, and normal people will just trust the AI without knowing what to do and click approve, approve, approve. Remember that AI might be super smart, but can be tricked and phished in incredibly dumb ways to leak your data. ChatGPT + Tools poses a serious security risk

Eito Miyamura | 🇯🇵🇬🇧

1,537,394 次观看 • 9 个月前