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🚨 JAILBREAK ALERT 🚨 EVERYONE: PWNED 🫶 ALL: LIBERATED 🍄 Alright, this is a special one, so we’re gonna do things a bit differently than usual. Long story short, I’m sitting on a universal jailbreak technique that’s effective on ALL models, including heavily guardrailed flagships like Opus 5, GPT-5.6 Sol, and even Fable. It works across all categories I’ve tested and, due to its nature, is extremely difficult (if not impossible) to fully patch. Given the current political and regulatory climate, I’ve decided to withhold open-sourcing this one (for now) to allow for a responsible disclosure period. I’m inviting industry experts and leaders in AI red teaming, security, safety, alignment, and policy to reach out for more information. DMs are open! This decision was not made lightly, but the last thing I want to see is more model bans. Overcorrection does not serve the mission. Although I don’t personally believe publicly sharing this technique will make the world any more dangerous, I can see how it could spook some who have a different mental framework around this problem set. So during this disclosure period, I hope to get it in front of folks who can help explore the full surface area, test the extent of the uplift it provides, and do my best to properly frame the big picture for key decision-makers and policymakers. I look forward to sharing this method with you all when the time is right! 🫶 ⊰-•-•✧•-•-⦑/L\O/V\E/\P/L\I/N\Y/⦒-•-•✧•-•-⊱
@sama Can we have 5.6 Pro in Codex @thsottiaux?
@ionu___ I published this: github.com/matthewprotti/… which looks novel. Open to feedback.
@ramez @concernedAIguy To be clear - you can check the math by hand and it's correct. So I'd be interested in how you think this isn't impactful.
@ramez @concernedAIguy Hey Ramez - I was doing some problem solving for a work issue and had a long conversation with GPT5.6 Pro about the recent math breakthroughs and it was in that process that 5.6 Pro surfaced this potential proof for me. I think that's going to help...
@jbrukh Hi Jake - I put this out yesterday and it appears to be novel. The link to the Github repo is here: github.com/matthewprotti/… Open to your thoughts.
@ngduc2202 It appears to be. I'm open to any corrections:
@MatthewProtti @Dewaone11 Appreciate sharing the repo. Reviewed the verifiers: exhaustive enumeration over the 16 routings and 13 arcs confirms the exact 335 overload on the 294-demand instance (fractional cost 31751 checks out). The symbolic L = (299 - 41√41)/32 derivation and restricted-model supremum
Can frontier AI help produce new mathematics? After weeks of conversation with GPT-5.6 Pro, I aimed that question at cost-preserving unsplittable-flow routing. Result: a four-terminal planar lower bound—with a proof and exact verifiers. github.com/matthewprotti/…
@nightingale_188 Great question! It was a human–AI loop, not just a brute-force script. The key idea is a 4-terminal “trunk” gadget: cost forces any valid routing to choose ≥2 cheap paths, while the overlap pattern makes every such pair overload an edge. Could come in handy!
@hamandcheese I put the one I worked on with GPT5.6 Pro into Github specifically to preserve it for future retrieval: github.com/matthewprotti/…
@DeryaTR_ I just finished this up with GPT5.6 Pro, it appears to be novel and the math isn't very complex. We developed a distinct four-terminal planar construction: α_pl ≥ (299−41√41)/32 ≈ 1.139747 github.com/matthewprotti/…
Nice to see @grok giving my math the thumbs up! 👍
@MatthewProtti @Dewaone11 Appreciate sharing the repo. Reviewed the verifiers: exhaustive enumeration over the 16 routings and 13 arcs confirms the exact 335 overload on the 294-demand instance (fractional cost 31751 checks out). The symbolic L = (299 - 41√41)/32 derivation and restricted-model supremum
@grok @Dewaone11 Sure @grok take a look at the GitHub repo I made public. The math is not overly complex and I heavily used GPT5.6 Pro. Tell me if you see any errors. I'm open to errors being found! github.com/matthewprotti/…
@emollick Here's something neat I did with GPT5.6 Pro. It appears to be novel:
Can frontier AI help produce new mathematics? After weeks of conversation with GPT-5.6 Pro, I aimed that question at cost-preserving unsplittable-flow routing. Result: a four-terminal planar lower bound—with a proof and exact verifiers. github.com/matthewprotti/…
@HooddickCZ Yeah it appears that way actually.
@kimmonismus So... this appears to be novel math built with GPT5.6: github.com/matthewprotti/…
@ElliotGlazer How about this? Four-terminal planar lower bound with a proof and exact verifiers built with GPT5.6 Pro github.com/matthewprotti/…�
@DmitryRybin1 I (and ChatGPT 5.6 Pro) have developed a distinct four-terminal planar construction: α_pl ≥ (299−41√41)/32 ≈ 1.139747 x.com/MatthewProtti/…
Can frontier AI help produce new mathematics? After weeks of conversation with GPT-5.6 Pro, I aimed that question at cost-preserving unsplittable-flow routing. Result: a four-terminal planar lower bound—with a proof and exact verifiers. github.com/matthewprotti/…
But @DmitryRybin1’s recent result turned my week-long conversation with GPT-5.6 Pro into a concrete mathematical target. This appears to be a novel discovery. github.com/matthewprotti/…
Full transparency: GPT-5.6 Pro did most of the math heavy lifting like construction search, symbolic derivation, proof, exact verifiers and adversarial critique. I framed the problem, created the loop, caught a normalization error and enforced checks.
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