Sable Wren

仍在继续

[henriqez @gabrrlgh]

honestamente, cuál es la magia que tiene el Hot pot que le gusta tanto a todos los chinos ???

[Sable Wren @wrenmist]

@JiaweiShen2568 @macha3142 没什么不好的，脏话并不是优秀文化

[Sable Wren @wrenmist]

@zhiyun114514 像是GDP排名

[Sable Wren @wrenmist]

@JiaweiShen2568 你们都是看热闹，我真吃过

[John Scott-Railton @jsrailton]

NEW: malware developers added nuclear & biological weapons text to to their spyware.

Goal? To trigger LLM safety refusals... so that their spyware wouldn't be analyzed by an AI security scanner.

Cleanest practical example I can think of for why over-indexing on first order safety alignment is risky.

When closed (and open) models ship with aggressive refusals, they will be sprinkled with second-order blindspots that attackers will discover...and exploit.

We are only in the earliest days of attackers leveraging these features, and it wouldn't surprise me if users systems that need to handle complex cybersecurity issues demand that models be less safety-blunted.

In the weeds: @SocketSecurity's post also shows why intention matters in how you design a malware analysis pipeline to avoid prompt manipulation.

H/T to colleagues that shared this with me https://t.co/f3Aj9TYxU4

[Tibo @thsottiaux]

@adxtyahq Uh..

https://t.co/QxqpvVD1zy

[Sable Wren @wrenmist]

@zqtlovekris99 太大了😨

[Sable Wren @wrenmist]

@JiaweiShen2568 我也要说😋

[Sable Wren @wrenmist]

@JiaweiShen2568 看第一句话还以为是意林

[Sable Wren @wrenmist]

@KokonaKokoro 豆包化了

[Sable Wren @wrenmist]

@fly_in_X 不好控制数据

[anth*ny @oomfpit]

would you pee on me if we were both hotdogs on a grill🥺?

[Sable Wren @wrenmist]

@Sweet_xst 我也是

[Sable Wren @wrenmist]

@wuyuandev @OpenAI @sama 但是我记得这个提示词在四月底就有

[Sable Wren @wrenmist]

@YesterdayOrange 看考生的发散水平

[Sable Wren @wrenmist]

@daneishe888 啊？

[Sable Wren @wrenmist]

@JiaweiShen2568 给企鹅发算力

[Sable Wren @wrenmist]

@Sweet_xst 111

[Sable Wren @wrenmist]

@daneishe888 本来就不是什么重要的日子