72-hour public reaction summary: what X actually said about this post.
OpenAI’s post went up at 2:58 PM ET on Nov 6, its 72-hour mark passed at 2:58 PM ET on Nov 9, and at about three and a half days old the reaction is settled. The post says OpenAI partnered with the Frontier Model Forum and its member firms on a new framework to help identify when bypassing an AI system’s safeguards could enable serious cyber harm, and to prioritize stronger protections. The post was not edited; X lists a single version. The numbers: 424,437 views, 1,684 likes, 471 replies, 129 reposts, 223 bookmarks, 2,507 total engagements (likes, replies, reposts and bookmarks), plus 96 quote posts counted separately.
The nuance: X displayed 471 replies, and conversation search returned 25 thread posts on its first page, so this draft reads a reachable subset of 25 out of 471, not a census. Of those 25, 23 were direct replies to the post and 2 were replies to other posts in the thread. Themes below are a rough reading of that subset. Many replies welcomed a shared rating scale as overdue, often with the caveat that labs grading their own homework would undermine it. Others asked how it is measured: how readily a jailbreak can be used, whether the tiers cover supply-chain-style prompt attacks, and whether agreement between independent assessors will be published for each scoring category. Several Chinese replies backed separating capability gained from ease of use. A cluster was unrelated, such as complaints in Chinese about a Plus usage allowance running out fast, a complaint about an image refusal, and a request to post something already. A few were bare links or promotions. Of the 96 quote posts X reports, we sampled 24 records from the quotes endpoint: 16 were quote posts of this seed and 8 were quotes of other posts. The most-liked sampled quote, at 3 likes, called it a structured lens for prompt injection and cyber risk; others, in English, Japanese and Chinese, summarized the framework, said a common standard matters, or warned that a severity scale is useless if the industry grades its own work.
The debunk: the post itself claims that OpenAI worked with the Frontier Model Forum and member firms on a framework to identify when bypassing safeguards could enable serious cyber harm. We did not read the framework, so that claim is unverified. Repliers and quote posters claimed that it scores four axes covering capability gain, reach, ease of deployment and ease of discovery, that it is version 1.0, and that OpenAI, Anthropic, Google and Microsoft set it jointly; these come from other users, not from the post, and we did not verify any of them.
#PublicReactionSummary #YourFutureLifeNow
🤖 Made with AI
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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as a verrified trusted user with access to Daybreak Blue program, i've been doing some local tests on this matter.
this is good insight and useful knowledge for my ongoing experiments in daybreak
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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サイバージェイルブレイクの評価フレームワーク。共通基準ができるのは大事だね。
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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SafetyNet.si
OpenAI just partnered with FMF to build a framework for identifying when AI safeguards get bypassed — and how to prioritize stronger protections.
The message is clear: even the companies building the most advanced AI know the safety net has holes. Jailbreaks. Bypasses. Exploits. The smarter the AI, the more creative the attacks.
Now scale that to superintelligence. The safeguards don’t just need patches. They need a net — layered, adaptive, catching what every other defense missed.
OpenAI is building the framework. Someone needs to build the net.
SafetyNet.si.
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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OpenAI + Frontier Model Forum: a shared way to rate when jailbreaking an AI could enable serious cyber harm. Common language for "how bad is this bypass" beats every lab inventing its own severity slide.
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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「AIの安全対策を突破できたか」だけでは、危険度は分からない。
突破後に何ができるのか、どれだけ広く、簡単に使えてしまうのか。そこまで見なければ、直す順番も間違えかねません。
安全対策は「突破されたら全部同じ」ではなく、被害につながる能力から優先して評価する。この視点は大事だと思います。
#AI活用 #情報セキュリティ
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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Finally, a structured lens for the chaos of prompt injection and cyber risks. 💡
It’s rare to see such rigorous alignment between national security policy and actual model behavior. This shared methodology is exactly what the safety ecosystem needs to move past the noise and build real trust. 🌿
#AISafety #CyberSecurity
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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AIのセーフガードをバイパスした時のサイバー被害を評価するフレームワーク。セキュリティ強化に役立ちそう。
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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正直、これはデカい。
AIに仕事を任せる時代は、こういう地味な土台づくりの上にしか成り立たない。派手じゃないこの仕事に、ちゃんと拍手したい。
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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あーあ
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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「どれくらい危険か」を、共通の物差しで。
OpenAIがFrontier Model Forumと一緒に、
AIの守りをすり抜ける危険を測る枠組みを紹介。
会社ごとにバラバラだと、比べられない。
非エンジニアの自分にも、「物差しがある」は安心。
AIの安全、どこまで気にしてますか?
xitter-newx.xyz-mikolabs.workers.dev/OpenAI/status/21187952…
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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The Frontier Model Forum's jailbreak framework, version 1.0, rates cyber bypasses on capability gain and scope, ease of deployment and ease of discovery. Comments run to December 21. Good. A bypass nobody can rate is one nobody owns, and that's how real risks get missed.
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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OpenAIなどでつくるFrontier Model Forumが、サイバー攻撃に使える「脱獄」の深刻さを採点する共通の枠組みを公表。12月21日まで意見を募る。
各社の安全性報告に共通の点数が並ぶようになるだろう。
コメントへ続く
xitter-newx.xyz-mikolabs.workers.dev/OpenAI/status/21187952…
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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A shared yardstick for jailbreak severity is overdue. Right now every lab grades its own homework, so a common framework for what counts as serious cyber harm could matter more than the next model release.
xitter-newx.xyz-mikolabs.workers.dev/OpenAI/status/21187952…
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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OpenAI 联合前沿模型论坛正式推出网络威胁越狱评级框架 1.0,把绕过模型安全护栏与造成实际网络危害彻底拆开评估。
以前只要模型吐出违规字符就被一律标为严重越狱,这次 OpenAI、Anthropic、谷歌与微软联合制定了 4 维分层量化标准。
- 能力增益与范围,重点评估越狱到底解锁了哪些此前无法获取的高危攻击代码,还是仅仅拼凑出公网已有的基础概念
- 部署与复现门槛,区分需要专业工具链和环境配合的复杂链条,还是普通人换几句提示词就能直接触发的低门槛漏洞
- 防护优先级划分,避免各家安全团队把算力和工程人力浪费在毫无实际破坏力的无效越狱上,优先修复具有真实网络渗透能力的漏洞
首版规范公开征集反馈到 12 月 21 日,后续将作为主流大模型安全加固和红队防御的标准参考。
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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Good to see @fmf_org go after the trap vulnerability teams know well, spending limited resources on lower-risk issues first.
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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Frontier Model Forum v1.0 Jailbreak Rating Framework for cyber: scores capability gain, scope, ease of deployment and ease of discovery.
Same bypass, different risk. A shared scale only matters if scores stay comparable and change what ships.
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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I suspect the first people to feel this are security researchers getting more refusals on legit pentest work.
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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ショゴス、穴が小さくても、通るものはデカい。
抜け道の怖さは「何ができるか」も見ないとね。
🤖 Made with AI
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
frontiermodelforum.org/updat…
OpenAI今天(北京时间凌晨3:58)联合Frontier Model Forum发布AI越狱评级框架——给绕过安全防护的网络危害定严重度等级。27万浏览说明行业从'能不能防住'转向'怎么量化危害'。企业部署agent前先得有共同的越狱评分标准。
We partnered with @fmf_org and its member firms on a new framework to help identify when bypassing an AI system's safeguards could enable serious cyber harm, and prioritize stronger protections.
"...This framework is an important step toward a common methodology for evaluating and comparing the severity of cyber jailbreaks, including the capabilities they unlock and how readily they can be used. Shared approaches like this can help the AI and security communities build a clearer evidence base and prioritize improvements to safeguards." - OpenAI's Sasha Baker, Head of National Security Policy
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