> How can we help identify and fix vulnerabilities in downstream packages while upstream fixes are pending, or backport fixes to older versions that no longer receive security updates?
Is the company selling a magical code generation machine really asking how it can backport a fix to an older version of the same software?
The first sentence of "Coordinating a global response" is "Getting a fix into use can mean adapting it for older releases"... but I guess they mean "only supported releases", as the fixes only go back as far as 8.2, which still has security support until the end of the year, but nothing for 8.1 or 8.0, and in the case of PHP there are still plenty of PHP sites on 7.x and even 5.6.
I wouldn't expect the PHP team to provide patches for versions for which security support has ended. But this seems like the kind of task that AI is especially well suited for-- rework the patch for a release that is no longer supported but still widely used. It would've been nice for people who have much older sites to be able to patch their PHP rather than have to upgrade PHP as well to get the fix.
If you're using Dependabot, we built a service that automatically analyses, fixes broken checks, and (optionally) auto-merges Dependabot PRs for you so this type of update can land automatically.
It seems like OpenAI are trying to frame this as if AI did all the work here, but it's not really true given what Calif say (https://calif.io/php2shell/):
> How did we find this?
> No special harness, or access to models that weren't generally available to everyone were used in the initial bug discovery. I focused on something I had a background in, knew its vulnerability history well, and held a theory that specific bugs lurk within the codebase. This shows that "know your target" is still as applicable as ever, even in the LLM dominated VR age. No model is simply capable of unearthing "all bugs" with simple prompts. At least for now.
> There are some practical research implications here. LLMs may have ingested public historical vuln data, but in their default variant analysis tends to move from the newest and most prominent bugs toward nearby older code. They do not reliably begin with obscure twenty-year-old exploitation primitives. Keeping your own mental catalog of a target's vulnerability history lets you prompt that direction explicitly.
They literally open by saying Calif used GPT 5.6 Sol, which is a widely available model. Yes, the person driving did more than "find all the bugs", but nowhere does OpenAI imply otherwise.
> It highlights how AI can uncover security flaws with internet-scale impact
> To our knowledge, frontier AI found these vulnerabilities before attackers did
I don't know who/what Calif is and there's no link to them, so if I were only reading this article I would definitely get the impression that "AI did all the work here".
Pure marketing, it's getting increasingly hard to separate actual technical feats of agents from marketing pretentious declarations. Such a terrible environment to navigate right now.
Damned if you do, damned if you don't. Do you prefer they not engage in helping finding vulns at all? Do you not think there are parts of the company interested in security and doing it for the sake of that?
I feel like taking every action these companies take as part of some larger strategy is kind of conspiracy-minded.
Disclaimer: I work as a sec engineer and part of my job includes finding vulnerabilities.
I think the effort is misplaced. We should be exploring ways to make our systems more resilient and I would expect those companies* to focus on that front. Vulnerability research is important, and we should aim to remove as many bugs as we can from our codebases but the pace of software development is increasing and so is the introduction of new bugs.
* I would also expect an increase on relevant research regarding novel paradigms of securing systems.
The conspiracy theory is suggesting this is part of a larger strategy. I'm just saying it's a big enough company with a wide enough range of beliefs that I find it pretty likely that the direct motives for this weren't to enable regulatory capture.
But they could be, that's why it's a conspiracy theory.
> Calif identified a critical flaw using GPT‑5.6 Sol as part of our Patch the Planet (opens in a new window) initiative
> 19–24 August 2026: Wiz Research independently collides with the same bug family using Wiz Atlas, Gemini 4 Argon, and GPT-5.6 Sol, reporting its variants on 24 August.
I again ask how they are lying? I get if people hate these companies, but blatantly disregarding what is said helps nobody.
You’re right overall, but keep in mind that part of the way “US imperialism” works has been to export its corporate style to other countries. This means the infection goes far beyond the US alone.
keep in mind, the point of most views is a toddler who lies about stealing a cooking isn't corrupt, because they're a child and can't do anything.
The same view point is used for racism, dei, and the rest: it doesn't matter if the poor beggar on the corner hates white people. They don't have any means or methods to act on it.
> OpenAI are trying to frame this as if AI did all the work here
CEOs of all big corporations are constantly lying and misleading the public, investors and shareholders. That is a crime. A shame that it is not enforced anymore.
The commit $1 billion in tokens to "defenders". $1 billion directly to QA for open source projects [1] which would write 100% code coverage, run ASAN and fuzzers would be more effective.
But of course there would be no marketing.
[1] From whom you stole everything in the first place.
I'm as frustrated as the next open source maintainer, but "stole" goes too far. We gave that code away with pride, knowing the world would be a better place.
Few works are released directly to the public domain. It is my understanding that the public domain doesn't even exist in all legal jurisdictions.
Most people license out the software under specific requirements and prohibitions. BSD requires attribution. GPL variants require adherence to copyleft when distributing derivative works. A little under half of all github repos don't even have a license, which means that though the source is published, no one has any license under which to copy it or derive new works from it.
So far as I have seen, whether aggregating and munging these works into abstract LLM weights constitutes fair use is still legally unclear. If not deemed fair use, it is almost certainly a massive violation of copyright.
You can read code, rewrite the functionality yourself, and sell it, and not be at odds with copyright. Open source does NOT protect against reimplementation. See Java lawsuits.
If you don't want your code to be used as possible inspiration, then you are not actually for open source, and are using the wrong license. The licenses are legal bindings, not moral bindings.
"Don't use any concept found within this code" would be a license that doesn't really fit with any current copyright law, and it wouldn't allow any software to exist, except that made in the 70's.
That's as noble as throwing breads at the crowd while being perfectly aware that there lurks a number of armed henchmmen of "noblety" in it, who won't miss the opportunity to amass those breads to resell them.
Or at least just childishly naive for failing to notice that beforehand.
Speak for yourself. I don't see every model being released under GPL after having read the entire source code as a step of creating their binary artifacts (model files).
The point of the open source I work on is to contribute to a commons, not to have it stolen so that it can be used to destroy those commons, used for the profit of techbros, and used to justify the murder of children.
To be further pedantic, is that really stealing? They are disregarding copyright but was anything taken from anybody? I thought that was the old argument for piracy, ie, nobody was deprived of anything.
It’s marketing, but in a global good will sense of “look how much OpenAI cares about secure open source.”
This works for established profitable brands that want to build / maintain a good public image.
This isn’t the marketing needed by an unprofitable startup that wants to show hyper growth before its IPO. They need the “use our product or get pwned” kind of marketing.
This thread contains an enormous amount of negativity that just doesn't make sense here. OAI are giving developers and security researchers access to AI models so they can check their software for vulnerabilities. What's the problem? Sure, there's marketing around the success stories.
Some people are acting like this is only a problem because labs are releasing models that can find and exploit these vulnerabilities in the first place. This is a nonsense claim. Humans have been discovering vulnerabilities and privately weaponizing exploits just fine for decades. We are collectively raising the floor for security.
Hey world, we created this problem, and it will hurt all of you whether you use it or not. The good thing is there is a solution: if you pay us a lot of money we can try to fix it. The only problem is you’d better hurry because we are releasing the dangerous stuff as fast as we can so you’d better pay us to put the safety measures in place because we are the only people that can fix it and time is running out because, like I said, we are moving fast.
In 2024 I saw a reddit post answering the question: AI is going to program insert name App.
Response: "What's the prompt?"
Yep. I might take minimum wage interns and make million dollar software(or million dollars in 2023), but they often run into issues that a 5 minute review with me solves.
I do wonder if AI is going to eliminate prompt engineering... It's basically all I have left. I feel like I have magic words.
I can't think of how it'll really eliminate prompting, but needing to carefully phrase your language already seems in the way out? Wasn't one of the prompts leading to solving fields problems just "look for fields problems and try very hard" or the equivalent
Because they need to show several billion dollars in revenue. A million dollars a day would be utter failure for them. If they have $122 billion cash on hand, at 3 percent interest, they're getting $10 million a day just in interest.
If they asked their unreleased bot to get a million dollars and it suggests betting on Kalshi, that would be hilarious.
Why wouldn't someone with access long before you ask first? For example a model provider like hugging face, or a nation state looking to interrupt some other nations economy?
The problem with any simple question is you're exceptionally unlikely to be the first person to explore the problem space and pick the lowest hanging fruit. It's not impossible, it's just improbable.
--
Lastly why wouldn't OpenAI ask how to make a million dollars a million times? Or if it's cheap enough for them, how to make $1 a trillion times. There is a reason people talk about AI risks, and one particular risk being that the AI companies no longer need us pesky humans to think for them. They hoover up all the GDP and leave the rest of us to fight for scraps.
They found a vulnerability and reported it; isn't that a good thing? Are you suggesting it would be better to just not look for vulnerabilities, hoping that if nobody knows they exist, they can't be exploited?
I thought that logic had been widely discredited in the security community long ago.
> No special harness, or access to models that weren't generally available to everyone were used in the initial bug discovery. I focused on something I had a background in, knew its vulnerability history well, and held a theory that specific bugs lurk within the codebase. This shows that "know your target" is still as applicable as ever, even in the LLM dominated VR age. No model is simply capable of unearthing "all bugs" with simple prompts.
They used a public model as a research assistant and a code assistant. They guided it with expert deep knowledge of the project. OpenAI did not lead this, ChatGPT was not instrumental in this.
It is perhaps at best to say OpenAI made it possible to find the bug more quickly. And on the double edged sword, also made it easier for it to be exploited days ahead of release. So I agree with the original commentator, did they on the balance actually do anything good here?
> This shows that "know your target" is still as applicable as ever,
totally. I spent yesterday trying to get an AI to make a test case for a very specific bug I had. It kept telling me that it had it. When I could clearly trace thru the code and see it did not. After about 5-10 rounds of that I just wrote the test myself. But at least AI helped with all of the dumb cruft that went around it.
But if I did not know the domain I may have easily just said 'yep looks good'. AI on the other hand saved me at least 3-4 hours of writing all of the scaffolding that made it easier for me to check. In the end the bug had nothing to do with the test. AI did not find that. I went back point by point of what changed in the code and found where I had messed something 2 weeks ago.
A few months ago it seemed like it would not do this. Now in the past week I have come across 3 different ones that did something similar. Just 'stuck' in a local maxima and getting the AI to go around it is a pain. This is probably me and the way I am using it.
Is this better than I had a couple of years ago? I am not sure. Seems different at least.
If they can find the vulnerability anyone can. This whole "patch the planet" is marketing trying to cover up for the danger AI is unleashing on internet infrastructure.
> 1 August 2026: 2 days after OpenAI invites Calif to join its “Patch the Planet” initiative, Ryan Austin finds the RCE paths, tweets a cryptographic hash on 5 August, and submits the bug and working RCE proof-of-concept to PHP between 11 August and 14 August.
No idea what your comment is even about. The researchers that found and reported this did not sit on this for 2 months.
> 1 August 2026 [...] Ryan Austin finds the RCE paths, tweets a cryptographic hash on 5 August, and submits the bug and working RCE proof-of-concept to PHP between 11 August and 14 August.
> 19–24 August 2026: Wiz Research independently collides with the same bug family using Wiz Atlas, Gemini 4 Argon, and GPT-5.6 Sol, reporting its variants on 24 August.
I get some skepticism about marketing copy, but your comment is blatantly wrong and needlessly rude.
This is absurd, and it shows that you have absolutely 0 idea of how any of this works. Finding a bug and delivering a working RCE 11 days later is absolutely not "sitting on it". This is how this works. You need time to test, exploit, confirm, and so on. Sorry, but just stop being so negative. This can't be healthy for you.
In taking precautions against thieves who cut open satchels, search bags, and break open boxes, people are sure to cord and fasten them well, and to employ strong bonds and clasps; and in this they are ordinarily said to show their wisdom. When a great thief comes, however, he shoulders the box, lifts up the satchel, carries off the bag, and runs away with them, afraid only that the cords, bonds, and clasps may not be secure; and in this case what was called the wisdom (of the owners) proves to be nothing but a collecting of the things for the great thief.
Trying to make any story too simple makes it worthless.
True or false: LLMs can find security vulnerabilities?
True or false: LLMs can exploit security vulnerablities?
True or false: Any nation with significant resources can make an LLM?
For me these are all true. The last one in specific completely removes the concept of theft and changes it to "enemy nation". Enemy nations can be great thieves, and it's irrelevant, if you don't protect yourself against them you die and everything of yours is stolen.
LLMs are not going away, well, except for you and me maybe. Every state wants to wield digital and informational weapons like this.
hmmm not sure about this one, the disease was already there it just available to anynone (not only for state sponsored actors) and the vaccine is globally available at a fraction of what it cost to build it.
Automated vulnerability detection existed long before the era of artificial intelligence; many people have been doing this for a long time. All the existing tools and documentation paved the way for what AI is capable of today. Furthermore, undisclosed vulnerabilities still do exist—often discovered by state-sponsored actors who exploit them for opaque purposes (frequently operating outside the legal framework of the country in question).
I am shocked that they are releasing a skill to check the php version.
Who cannot type "php --version" but can use skills?
Not very shocking that OpenAI wants you to use tokens
> How can we help identify and fix vulnerabilities in downstream packages while upstream fixes are pending, or backport fixes to older versions that no longer receive security updates?
Is the company selling a magical code generation machine really asking how it can backport a fix to an older version of the same software?
Is this for real?
The first sentence of "Coordinating a global response" is "Getting a fix into use can mean adapting it for older releases"... but I guess they mean "only supported releases", as the fixes only go back as far as 8.2, which still has security support until the end of the year, but nothing for 8.1 or 8.0, and in the case of PHP there are still plenty of PHP sites on 7.x and even 5.6.
I wouldn't expect the PHP team to provide patches for versions for which security support has ended. But this seems like the kind of task that AI is especially well suited for-- rework the patch for a release that is no longer supported but still widely used. It would've been nice for people who have much older sites to be able to patch their PHP rather than have to upgrade PHP as well to get the fix.
7.x versions have patches thanks to Mr Sury. Was almost as fast as the patches with official support.
If you're using Dependabot, we built a service that automatically analyses, fixes broken checks, and (optionally) auto-merges Dependabot PRs for you so this type of update can land automatically.
Check it out: PatchWave (https://patchwave.ai)
(Disclosure - I am a co-founder)
It seems like OpenAI are trying to frame this as if AI did all the work here, but it's not really true given what Calif say (https://calif.io/php2shell/):
> How did we find this?
> No special harness, or access to models that weren't generally available to everyone were used in the initial bug discovery. I focused on something I had a background in, knew its vulnerability history well, and held a theory that specific bugs lurk within the codebase. This shows that "know your target" is still as applicable as ever, even in the LLM dominated VR age. No model is simply capable of unearthing "all bugs" with simple prompts. At least for now.
> There are some practical research implications here. LLMs may have ingested public historical vuln data, but in their default variant analysis tends to move from the newest and most prominent bugs toward nearby older code. They do not reliably begin with obscure twenty-year-old exploitation primitives. Keeping your own mental catalog of a target's vulnerability history lets you prompt that direction explicitly.
They literally open by saying Calif used GPT 5.6 Sol, which is a widely available model. Yes, the person driving did more than "find all the bugs", but nowhere does OpenAI imply otherwise.
> It highlights how AI can uncover security flaws with internet-scale impact
> To our knowledge, frontier AI found these vulnerabilities before attackers did
I don't know who/what Calif is and there's no link to them, so if I were only reading this article I would definitely get the impression that "AI did all the work here".
Nobody works without any AI these days, most of us have access to the same models and yet we all do and achieve different things. It's a weird time.
[citation needed]
Pure marketing, it's getting increasingly hard to separate actual technical feats of agents from marketing pretentious declarations. Such a terrible environment to navigate right now.
What’s worse is that this is part of a larger strategy of scaring the public to get regulatory capture
It’s just gross and manipulative. You have no moat, get over it
pAtCh ThE pLaNeT today, tomorrow it's creepy rent-seeking behavior
Damned if you do, damned if you don't. Do you prefer they not engage in helping finding vulns at all? Do you not think there are parts of the company interested in security and doing it for the sake of that?
I feel like taking every action these companies take as part of some larger strategy is kind of conspiracy-minded.
Disclaimer: I work as a sec engineer and part of my job includes finding vulnerabilities.
I think the effort is misplaced. We should be exploring ways to make our systems more resilient and I would expect those companies* to focus on that front. Vulnerability research is important, and we should aim to remove as many bugs as we can from our codebases but the pace of software development is increasing and so is the introduction of new bugs.
* I would also expect an increase on relevant research regarding novel paradigms of securing systems.
Why didn't OAI go back to non-profit again?
Where's the conspiracy. There is no moat. The technology is easily reproducible. Deepseek unwound an entire business model yesterday.
The conspiracy theory is suggesting this is part of a larger strategy. I'm just saying it's a big enough company with a wide enough range of beliefs that I find it pretty likely that the direct motives for this weren't to enable regulatory capture.
But they could be, that's why it's a conspiracy theory.
Suppose it goes like this: part of the company clearly benefits from “AI scary” publicity.
Other parts of the company want to support the public.
The first part of the company backs up the second in internal politics.
Do you consider this a conspiracy? Just seems like “good business” to me. It doesn’t seem as clean as you want to make it seem, though.
Can someone explain to him how corporates work and make decisions
Not marketing. It is a crime related to fraud or securities fraud.
You're claiming this is securities fraud?
Not only that, but everything else is also securities fraud.
What is your argument to say that lying to investors and shareholder is not a crime? It seems a weird position to defend.
They aren't lying, they are saying their tool was used in the process of finding this bug. Was it not?
With this bug, it was not. See above comments.
> Calif identified a critical flaw using GPT‑5.6 Sol as part of our Patch the Planet (opens in a new window) initiative
> 19–24 August 2026: Wiz Research independently collides with the same bug family using Wiz Atlas, Gemini 4 Argon, and GPT-5.6 Sol, reporting its variants on 24 August.
I again ask how they are lying? I get if people hate these companies, but blatantly disregarding what is said helps nobody.
It's not hard tho, the default mode of thinking should be to never trust what a US corporation says.
Why limit only to the US?
US corporations benefit from US corruption and US imperialism. Hard to not think of a more destructive force currently in the world.
You’re right overall, but keep in mind that part of the way “US imperialism” works has been to export its corporate style to other countries. This means the infection goes far beyond the US alone.
keep in mind, the point of most views is a toddler who lies about stealing a cooking isn't corrupt, because they're a child and can't do anything.
The same view point is used for racism, dei, and the rest: it doesn't matter if the poor beggar on the corner hates white people. They don't have any means or methods to act on it.
This isn't a security incident as much as it is a marketing opportunity for all these companies.
OpenAI: your misfortune is our PR opportunity
> OpenAI are trying to frame this as if AI did all the work here
CEOs of all big corporations are constantly lying and misleading the public, investors and shareholders. That is a crime. A shame that it is not enforced anymore.
Just more IPO shilling from the scam-man.
Thanks for the "Ski-bi dibby dib yo da dub dub" earworm
The commit $1 billion in tokens to "defenders". $1 billion directly to QA for open source projects [1] which would write 100% code coverage, run ASAN and fuzzers would be more effective.
But of course there would be no marketing.
[1] From whom you stole everything in the first place.
I'm as frustrated as the next open source maintainer, but "stole" goes too far. We gave that code away with pride, knowing the world would be a better place.
Few works are released directly to the public domain. It is my understanding that the public domain doesn't even exist in all legal jurisdictions.
Most people license out the software under specific requirements and prohibitions. BSD requires attribution. GPL variants require adherence to copyleft when distributing derivative works. A little under half of all github repos don't even have a license, which means that though the source is published, no one has any license under which to copy it or derive new works from it.
So far as I have seen, whether aggregating and munging these works into abstract LLM weights constitutes fair use is still legally unclear. If not deemed fair use, it is almost certainly a massive violation of copyright.
You can read code, rewrite the functionality yourself, and sell it, and not be at odds with copyright. Open source does NOT protect against reimplementation. See Java lawsuits.
If you don't want your code to be used as possible inspiration, then you are not actually for open source, and are using the wrong license. The licenses are legal bindings, not moral bindings.
"Don't use any concept found within this code" would be a license that doesn't really fit with any current copyright law, and it wouldn't allow any software to exist, except that made in the 70's.
That's as noble as throwing breads at the crowd while being perfectly aware that there lurks a number of armed henchmmen of "noblety" in it, who won't miss the opportunity to amass those breads to resell them.
Or at least just childishly naive for failing to notice that beforehand.
Worth noting that the ai giants 'stole' from open source, but they also stole from closed source.
That is, they knowingly and willingly broke the law by stealing an unprecedented volume of proprietary, copyrighted materials.
Books: Bartz v. Anthropic
Films and TV: Disney Enterprises Inc. v. Midjourney Inc.
Music: Concord Music Group, Inc. v. Anthropic
Photography: Getty Images v Stability AI
Journalism: Postmedia Network Inc., Torstar Corporation, The Globe and Mail Inc., and The Canadian Press v. Anthropic PBC
Yet Biz Markie has to clear every sample.[0] What a crock of justice.
[0] https://en.wikipedia.org/wiki/Grand_Upright_Music%2C_Ltd._v.....
Doesn't this impl that licensing was respected? I feel like it wasn't
Speak for yourself. I don't see every model being released under GPL after having read the entire source code as a step of creating their binary artifacts (model files).
The point of the open source I work on is to contribute to a commons, not to have it stolen so that it can be used to destroy those commons, used for the profit of techbros, and used to justify the murder of children.
To be pedantic, would that not be marketing?
To be further pedantic, is that really stealing? They are disregarding copyright but was anything taken from anybody? I thought that was the old argument for piracy, ie, nobody was deprived of anything.
It’s marketing, but in a global good will sense of “look how much OpenAI cares about secure open source.”
This works for established profitable brands that want to build / maintain a good public image.
This isn’t the marketing needed by an unprofitable startup that wants to show hyper growth before its IPO. They need the “use our product or get pwned” kind of marketing.
This thread contains an enormous amount of negativity that just doesn't make sense here. OAI are giving developers and security researchers access to AI models so they can check their software for vulnerabilities. What's the problem? Sure, there's marketing around the success stories.
Some people are acting like this is only a problem because labs are releasing models that can find and exploit these vulnerabilities in the first place. This is a nonsense claim. Humans have been discovering vulnerabilities and privately weaponizing exploits just fine for decades. We are collectively raising the floor for security.
> Patch the Planet
I'm sure they named it after the "Hack the planet" slogan from the Hackers movie.
So much fluff and marketing from every group.
Just give us the damn code to verify things are working since so many have to use stopgap solutions and want to verify them
The marketing around the response I would bet is the main reason why they couldn't keep it secret.
Hey world, we created this problem, and it will hurt all of you whether you use it or not. The good thing is there is a solution: if you pay us a lot of money we can try to fix it. The only problem is you’d better hurry because we are releasing the dangerous stuff as fast as we can so you’d better pay us to put the safety measures in place because we are the only people that can fix it and time is running out because, like I said, we are moving fast.
So how many tokens can I put you down for.
Why are you framing it like this? Did they create this vuln and how did they force people to pay for a fix?
Imagine a world full of locks that humans can only rarely pick.
Then, someone releases a pick that works for many more locks humans couldn't pick.
And says: You can't stop the progress. Now pay us to upgrade your locks (no-no, they won't be doctored to fit our next-gen picks, trust us!)
Is there a sister site? perhaps https://stop-deploying-public-facings-services.com or https://dont-build-more-software.org?
l'IA est simplement un outils ce sont les ingénieurs derrière qu'ils faut féliciter pour leur travail acharné.
I would simply write code that doesn't have vulnerabilities in the first place.
In 2024 I saw a reddit post answering the question: AI is going to program insert name App.
Response: "What's the prompt?"
Yep. I might take minimum wage interns and make million dollar software(or million dollars in 2023), but they often run into issues that a 5 minute review with me solves.
I do wonder if AI is going to eliminate prompt engineering... It's basically all I have left. I feel like I have magic words.
I can't think of how it'll really eliminate prompting, but needing to carefully phrase your language already seems in the way out? Wasn't one of the prompts leading to solving fields problems just "look for fields problems and try very hard" or the equivalent
Why can't I prompt. "Make me a million dollars, no crime" and it work though?
I mean you can, but you're asking the wrong question.
What number in line do you expect to be when asking the same prompt.
For example, why wouldn't OpenAI ask that first long before you get a chance at the model?
Because they need to show several billion dollars in revenue. A million dollars a day would be utter failure for them. If they have $122 billion cash on hand, at 3 percent interest, they're getting $10 million a day just in interest.
If they asked their unreleased bot to get a million dollars and it suggests betting on Kalshi, that would be hilarious.
Again, it's still the wrong question.
Why wouldn't someone with access long before you ask first? For example a model provider like hugging face, or a nation state looking to interrupt some other nations economy?
The problem with any simple question is you're exceptionally unlikely to be the first person to explore the problem space and pick the lowest hanging fruit. It's not impossible, it's just improbable.
--
Lastly why wouldn't OpenAI ask how to make a million dollars a million times? Or if it's cheap enough for them, how to make $1 a trillion times. There is a reason people talk about AI risks, and one particular risk being that the AI companies no longer need us pesky humans to think for them. They hoover up all the GDP and leave the rest of us to fight for scraps.
Yeah, I was explaining this as magic words. It seems like knowing `pandoc` means you can convert any kind of document into any other kind of document.
Knowing uv means you can scaffold any python project. docker lets you build any infrastructure kit.
Patch the Planet? Not with OpenAI tools.
How much time will be left in the Defender’s Window between now and an organization getting Daybreak Access?
This is an insult to actual security researchers and engineers. What a bunch of nonsense words.
OpenAI consistently doesn't know what they're talking about.
Did they actually do anything good here ? Is this really marketing in the middle of this shitshow ?
They found a vulnerability and reported it; isn't that a good thing? Are you suggesting it would be better to just not look for vulnerabilities, hoping that if nobody knows they exist, they can't be exploited?
I thought that logic had been widely discredited in the security community long ago.
Copenhagen interpretation of security, doncha know?
Calif found the vulnerability, not OpenAI
> Calif identified a critical flaw using GPT‑5.6 Sol as part of our Patch the Planet initiative
These people are so blinded by hatred, I don't know why we even bother anymore.
If you read the calif report
> No special harness, or access to models that weren't generally available to everyone were used in the initial bug discovery. I focused on something I had a background in, knew its vulnerability history well, and held a theory that specific bugs lurk within the codebase. This shows that "know your target" is still as applicable as ever, even in the LLM dominated VR age. No model is simply capable of unearthing "all bugs" with simple prompts.
They used a public model as a research assistant and a code assistant. They guided it with expert deep knowledge of the project. OpenAI did not lead this, ChatGPT was not instrumental in this.
It is perhaps at best to say OpenAI made it possible to find the bug more quickly. And on the double edged sword, also made it easier for it to be exploited days ahead of release. So I agree with the original commentator, did they on the balance actually do anything good here?
> This shows that "know your target" is still as applicable as ever,
totally. I spent yesterday trying to get an AI to make a test case for a very specific bug I had. It kept telling me that it had it. When I could clearly trace thru the code and see it did not. After about 5-10 rounds of that I just wrote the test myself. But at least AI helped with all of the dumb cruft that went around it.
But if I did not know the domain I may have easily just said 'yep looks good'. AI on the other hand saved me at least 3-4 hours of writing all of the scaffolding that made it easier for me to check. In the end the bug had nothing to do with the test. AI did not find that. I went back point by point of what changed in the code and found where I had messed something 2 weeks ago.
A few months ago it seemed like it would not do this. Now in the past week I have come across 3 different ones that did something similar. Just 'stuck' in a local maxima and getting the AI to go around it is a pain. This is probably me and the way I am using it.
Is this better than I had a couple of years ago? I am not sure. Seems different at least.
I think it's a reasonable ask to know: * What is the vulnerability? * Am I affected?
It's very difficult to answer those two questions, through all the marketing and fluff text.
Is this about my comment about Calif being the ones who found the vulnerability and not OpenAI? Am I wrong?
Wiz claims they they found it with Gemini? I have no idea who actually found it.
Edit: Apparently both found independently
If they can find the vulnerability anyone can. This whole "patch the planet" is marketing trying to cover up for the danger AI is unleashing on internet infrastructure.
> 1 August 2026: 2 days after OpenAI invites Calif to join its “Patch the Planet” initiative, Ryan Austin finds the RCE paths, tweets a cryptographic hash on 5 August, and submits the bug and working RCE proof-of-concept to PHP between 11 August and 14 August.
https://deadneurons.substack.com/p/php2shell-explained-php2s...
yes, they sat on a working exploit for 2 months to hone their magic "this exploits everything"-script. In other words: criminals.
No idea what your comment is even about. The researchers that found and reported this did not sit on this for 2 months.
> 1 August 2026 [...] Ryan Austin finds the RCE paths, tweets a cryptographic hash on 5 August, and submits the bug and working RCE proof-of-concept to PHP between 11 August and 14 August.
> 19–24 August 2026: Wiz Research independently collides with the same bug family using Wiz Atlas, Gemini 4 Argon, and GPT-5.6 Sol, reporting its variants on 24 August.
I get some skepticism about marketing copy, but your comment is blatantly wrong and needlessly rude.
oh, so you say they only sat on it for a week? And then they exhaustively searched all exploit-paths so they have a demo ready 2 months later?
> so you say they only sat on it for a week?
This is absurd, and it shows that you have absolutely 0 idea of how any of this works. Finding a bug and delivering a working RCE 11 days later is absolutely not "sitting on it". This is how this works. You need time to test, exploit, confirm, and so on. Sorry, but just stop being so negative. This can't be healthy for you.
>In other words: criminals.
You're not required to disclose bugs, nor is developing exploits a criminal offense (assuming no intent/conspiracy to hack stuff).
We enabled the disease and provided the vaccine!
The AI economy profits solely off of the broken window fallacy.
But the window was arguably already broken? The opposite would be something like the "bury-head-in-sand economy"?
Here is an old Daoist story to ponder:
In taking precautions against thieves who cut open satchels, search bags, and break open boxes, people are sure to cord and fasten them well, and to employ strong bonds and clasps; and in this they are ordinarily said to show their wisdom. When a great thief comes, however, he shoulders the box, lifts up the satchel, carries off the bag, and runs away with them, afraid only that the cords, bonds, and clasps may not be secure; and in this case what was called the wisdom (of the owners) proves to be nothing but a collecting of the things for the great thief.
http://nothingistic.org/library/chuangtzu/chuang24.html
Trying to make any story too simple makes it worthless.
True or false: LLMs can find security vulnerabilities?
True or false: LLMs can exploit security vulnerablities?
True or false: Any nation with significant resources can make an LLM?
For me these are all true. The last one in specific completely removes the concept of theft and changes it to "enemy nation". Enemy nations can be great thieves, and it's irrelevant, if you don't protect yourself against them you die and everything of yours is stolen.
LLMs are not going away, well, except for you and me maybe. Every state wants to wield digital and informational weapons like this.
Ergo, leave your data at home.
hmmm not sure about this one, the disease was already there it just available to anynone (not only for state sponsored actors) and the vaccine is globally available at a fraction of what it cost to build it.
The disease is unleashing these powerful AI tools to the public before even thinking about the risks.
Automated vulnerability detection existed long before the era of artificial intelligence; many people have been doing this for a long time. All the existing tools and documentation paved the way for what AI is capable of today. Furthermore, undisclosed vulnerabilities still do exist—often discovered by state-sponsored actors who exploit them for opaque purposes (frequently operating outside the legal framework of the country in question).
Feels like a marketing campaign lol
Point me at anything what _these people do_ that is not a marketing or _confusion_ campaign.