Get ready to outfit your $CPHY agent in our next community space 🦾 x.com/i/spaces/1nGeLMQedbPKX

Don't miss it ⚛️🥂⚛️ x.com/i/spaces/1dxYlaOaeWvJX

Meanwhile, $CPHY agent is in the top ten human leaderboard with super-human move efficiency putting Claude 5.5 to absolute shame 🦾 *Apparently, however, the Codex window was always open and even though the agent only ran the mazes a few hours a day while I did other work, the time reported was the duration the Codex browser use plugin was on.

Set your reminders for the next community space and be sure to tune in: x.com/i/spaces/1jGXgBdBXpOKZ

Listen to space and try out the skill if you want actual agi that leads to asi

Join today's community space starting shortly:

Verifiable AGI engineering has always been shared with the world by $CPHY since inception. Like anything worthwhile, it simply requires some effort. Less & less effort, every day that passes, with each new update we make🦾🤖⛓️

$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. github.com/cyberphysicsai/cy…

Timechains completely solved long horizon tasking to virtually infinite context and length of time, I have tasks over 60 days going with perfectly retained coherence from the $CPHY timechain skill: github.com/cyberphysicsai/cy…

Set your reminder to join our next community space✔️ If you're just discovering us, this will be a great opportunity to find out what we've done and where we're headed. x.com/i/spaces/1aKbdEBDaXZJX

Of the 3 projects to get 100% on the public set after us, (NVIDIA, Prime Agent, Schema) none of them can show you live continual learning, true real-time self-improvement, but $CPHY :

At the time of this post, there is only 1 project on @base (or any chain) with a product that empowers any user to achieve 100% on ARC-AGI 3. You can do this with only our skill file and almost any public model, even the full top 10 of opensource models. github.com/cyberphysicsai/cy…

The advantage of the timechain is not the data in it, it's the fact the AI gains a new way to relate to the data the world ran out of in 2024 more richly, in a higher-dimensional fashion.

Community update: We are in heavy active development building our unique cryptographic causal reasoning models. Some are full pre-trains, some feature original post-training techniques created by and only possible with timechains, utilizing open-source models all know and love, some are a totally new paradigm. Many of these will bring the cost of continuously active agentic deployments down 99%+ with no performance loss to the current frontier, even adding entire dimensions of cognition & cognitive capacity absent across all current foundation models, enabling performance and abilities the AI world has never seen, and that no other models will ever have without an equivalent to a timechain. While we're busy, @inventorofai has a buffet of blackboard presentations and other video content lined up, diving into much of the progress we've been sharing over the last 2 months. The potential of our skill file has been shared non-explicitly for the most part, but much of the video content lined up will shed direct light with step-by-step walkthroughs on how to make the most of it's full potential across a variety of usecases such as trading, code audits, generating code, building full projects, cyber defense, solving open problems across math and other sciences, benchmarking, 'impossible' horizon workloads, using it to win competitive AI prizes, enterprise level size data corpora, and a whole cyberspace universe of more 🖤⚛🤍

New: Ask your agent to enable autonomous modality + sense algo fusion with in-session executable faculty generation. This feature results in 100% on ARC-AGI 3 public set and generalizes to novel/abstract tasks absent from training data across all domains. github.com/cyberphysicsai/cy…

$CPHY The American DeepSeek moment. AGI for $0. Get up, sit down, and do something with it :) youtu.be/9pNJHDrPAYg?is=BG8N…

A $CPHY community member was able to replicate the score of our Founder, @inventorofai, with an 80 move efficiency gain. Open-source AGI empowerment is this obvious and simple to enjoy responsibly 🖤🚼🤍

The physics, the blockspace, the modalities, the sprouts, the forks...

Audit your agent's timechain at cyphertempre.ai.