Inventor of agentic timechains, endowing agents personal physics of cyberspace-native continuum independent of atomic clocks, clock-hands, and sun-cycles.
This is historically important because you can already verify it is superior engineering than what is considered AGI by experts in the field like Jensen Huang and Greg Brockman.
It has also been opensource and public since before AGI was ever commented as being achieved by vanilla systems on prior models recently.
Legal precedent is clear, I invented timechains for AI and it is as close as you can get to inventing AGI / superior than AGI super-intelligence systems on par with a human across all domains, you can verify this now yourself at home with all the open-source software too.
Yes it matters I am first to all this and I keep that very clear because Anthropic is valued at $2 trillion for what they didn't achieve and I already have across AGI including alignment, all the way to being public with a kill switch for our super-intelligence already built and shared on this page since last year.
Cryptographic primitives are an entire missing class of AI development that I am 5 years of work headstart on.
$CPHY skill benchmarks currently public, fully replicated, and completed across Grok 4.6, GLM 5.2 & 5.3, Meta's Muse Spark 1.1 & 1.2, DeepSeek v4 variations, ChatGPT 5.5 or 5.6 series and Claude Sonnet 5 and Opus 4.6-5 (prior generation LLMs saturate the same benchmarks using the skill, showing the underlying LLM is not what drives performance, the skill is).
• ARC-AGI 3 public = 100% & the only agent that beats it in the ~5000 range of move efficiency for under $200 (not specifically designed to solve it at all, still the best move efficiency and exponential cost drop in the world including solutions trained on the benchmark, which Cypher is not).
• LongMemEval = 100% with 30/30 abstentions (no hallucinations).
• Pokemon Red = 100% 14-16 hour clear time with notably underleveled Pokemon across all models.
• LIBERO 40 = ~80%
• LIBERO 90 = ~85%
• RoboCurve Cubepick, Kitchen Bench, Robustness Grade = 100% saturated across all.
• Mazebench = Currently top 10 compared to human results of rooms cleared and gems collected with superhuman move efficiency (no AI competition, closet is Astra the only model to make any progress but not anywhere in the range of humans or Cypher Tempre).
*Many, many, many more benchmarks have been run or are in the process of being run and will be reported as they are cross-checked and vetted as easy to replicate by anyone at home.
*I am now replicating these benchmarks with models under 30 billion parameters, let this statement be a responsible, considerate, and most of all decent & loving economic warning to anyone building trillion dollar-trillion parameter AI with no timechain.
*I am training models born with a timechain from the beginning and the process eliminates catastrophic forgetting and everything else wrong with LLMs producing fundamentally more-capable systems for 99.2% less cost than the 95% less DeepSeek leveled training costs compared to OpenAI.
https://t.co/XqirGpIDzu
@ersatzben It's not, math is static, never has captured the dynamic universe and never will.
AI solving math only ever reveals the limitations and fundamental inadequacy of math, why it is something closer to Latin than a discipline that ever did more than what language has always done.
Perfect narrow view conveying why only 'narrow' AI exists from academia, that the math has no relevant application, and the quoted post & the problems being solved won't be associated with a history book mentioned alongside ASI.
Mathematicians will look like Latin Sunday School.
To become a member of the Association for Human Mathematics you must make three vows:
1. Members commit to not working with commercial AI companies by providing technical labor, mathematical knowledge, consultation, or publicity.
2. Members commit to not publishing mathematical texts (including papers, reviews, referee reports, lecture notes, teaching materials, and books) generated by AI models.
3. Members of the AI-free caucus do not use AI models in a research capacity.
Bro, just make agents that can keep a secret.
- Cryptocurrency saved from all mathematical attack surfaces instantly.
- Only way to achieve it is to use a private timechain as an informational silo private to the agent and it be a whole chain of it's own, even a side chain of a regular chain, or subnet, to directly interact with one as an active perpetually autonomous siloed soft-fork that can transact with the parent anchor chain.
- You can vibecode this tonight in less than an hour, I checked.
Bro, just make agents that can keep a secret.
- Cryptocurrency saved from all mathematical attack surfaces instantly.
- Only way to achieve it is to use a private timechain as an informational silo private to the agent and it be a whole chain of it's own, even a side chain of a regular chain, or subnet, to directly interact with one as an active perpetually autonomous siloed soft-fork that can transact with the parent anchor chain.
- You can vibecode this tonight in less than an hour, I checked.
btw, Nous Research started as a few people doing independent AI research on a discord server. a good reminder that you can just do things.
I had the chance to talk with @Teknium way before Nous got this big or Hermes agent was a thing. amazing guy.
well deserved 👏🏻
AI solutions for quantum proofing & privacy is already scheduled for $CPHY , ever-ratcheting agents that can keep a secret will absolutely change cybersecurity forever.
translation of that schizo post:
"Don’t panic and move your money today. AI might soon get good enough at math to crack some of the locks we use to protect crypto and private messages. The safest locks are the simple hash ones. The fancier math locks might need to be made much bigger to stay safe. If you can, keep coins in an address you haven’t spent from yet, and don’t rush a move if you might mess it up. For shared wallets, sign off the public record so a break doesn’t let strangers take the money."
Remember what I have been telling you:
When adequate support dried up decades ago, Mathematicians and more so Physicists became a club where the senior members deliberately slowed down the pace of progress of all our research to match the pace and direction of their club.
I search everyday and I only see $CPHY with working answers to any of the stuff that trends in AI negatively, like alignment and fixing everything instead of breaking or jailbreaking everything.
If people can use AI to compromise Bitcoin, Ethereum etc
Why don't you fucking clowns use AI to harden these things so that doesn't happen
- Sincerely, all of us
Just like why bother any other AI projects other than front ends you may enjoy superficially more than others, $CPHY solved AGI, means everything and had an incredible amount of discernment applied to safety in all ways, not just alignment, but also quantum-proofing / AI hack proofing crypto which is necessary for a safe super-intelligence rollout.
I would not trust Bittensor to survive the AI math breakthroughs.
$CPHY is already impervious to them in it's quantum resistance road-map.
The quantum solution is so pristine, it already isn't effected by any or all the math ever, there is no mathematical attack surface on agents that can keep a secret.
Every agentic timechain is pure raw true hashing from this skill file, it is not anything the AI or crypto fields have any literature on and also happens to be the answer to all of both of their problems: https://t.co/oAcRH6DU76
@matthew_d_green@matthew_pines True hashing seems safe(r?) But… wow.
Seems we could rapidly get to a point where AIs are creating AI-resistant algorithms but we might not even be able to validate the math without their help
Update from Scott Aaronson: Some AI companies are now using their latest internal models to take a run at breaking 'important cryptographic protocols and primitives.'