⚛⛓⚛

Inventor of AI using timechains as a cyberspace-native continuum independent of atomic clocks, clock-hands, and sun-cycles; 1st software with personal physics.

[⚛⛓⚛ @inventorofai]

$CPHY

The American DeepSeek moment.

AGI for $0.

Get up, sit down, and do something with it :)

https://t.co/8uZsd6Rnzv

[⚛⛓⚛ @inventorofai]

Modalities and senses of the Cypher Tempre framework solve learning w/no pretraining and no post-training methods and also no massive data sets ever needing to be used to create a model again.

Natively-intelligent AI does not need to know all the answers. https://t.co/qi6jr4ypZt

[Joel @Joelc_eth]

@PreyWebthree Open-source AGI makes innovation accessible to everyone, not just a few teams.

[Cosmos Archive @cosmosarcive]

"The true sign of intelligence is not knowledge but imagination."

— Albert Einstein

[shaurya @shauseth]

only thing that can stop a bad guy with ai is a good guy with ai

[ً @solo_levelingx]

They did a coordinated move to move the nasdaq down 10% to literally liquidate one guy

Now imagine the manipulation they do on a constant basis

[PickleXBT @PickleXBT]

The $cphy chart is a comfortable thing. Awareness of greatness is growing.
If you haven’t looked into it, it’s time to ask why haven’t you looked into it.

[⚛⛓⚛ @inventorofai]

It's ok I'll save them🦸

Seriously though, the answers to alignment have been on this page for over a year, no theories, it all works, the vast majority of people just don't use timechains yet.

[Yo Shavit @yonashav]

not enough people are emotionally prepared for if the models are blatantly misaligned, we all know they’re misaligned, we can’t fix it, and China catches up

[EtherMage @ethermage]

Thank god for deepseek v4 flash,
when u are building products for adoption, cost is actually a massive factor vs using it for urself to code.

V4 flash from our internal testing is smart enough to do stuff and is 2 orders of magnitude cheaper for the end user. Makes a lot of use case viable now

More stuff for u guys to play with really soon…

[⚛⛓⚛ @inventorofai]

Not worth watching when there's the $CPHY timechain skill that also sweeps ARC-AGI 3: https://t.co/oAcRH6DU76

No timechain = not worth your time if true perpetually compounding RSI is your goal.

https://t.co/uN2cZ7OygN

[steve hsu @hsu_steve]

RSI WATCH:

Recursively self-improving harness + frontier models = solves ARC‑AGI‑3 Public

"Schema, a harness that has frontier models play like physicists: write each game’s mechanism as an executable program, test it against reality, and plan inside it.

... Schema thinks like a physicist. Before a physicist can write down a law, they must decide what the law is about. Which parts of an observation are objects? Which properties define the state? Only then can they ask how that state changes. Schema formalizes these questions as two problems. State grounding turns raw observations into objects, variables, and relations that can be tracked. Mechanism discovery finds how that state changes under an action and writes the rule as an executable program."

[⚛⛓⚛ @inventorofai]

Having their GPT5 moment 😆

[Roy @usr_bin_roygbiv]

anthropic has not released a new model in six months

[⚛⛓⚛ @inventorofai]

"A Timechain can be FED from any source:

- Large model draning (knowledge)
- Manual training (wisdom)
- Lived experience (agency)

This eliminates gaps across all domains and translates the same to robotics.

The Timechain is not just an experience accumulator.

It is a GENERAL KNOWLEDGE AND EXPERIENTIAL SELF-AWARENESS (SINGULARLY EMBODIED SELF-REFERENCE IF YOU ARE SUPERSTITIOUS) SYSTEM.

It replaces:

- Model weights (as knowledge storage)
- Fine-tuning (as domain adaptation)
- RAG databases (as retrieval source)
- Conversation history (as context)
- Training data (as learning substrate)

The model becomes a PURE REASONING ENGINE.

ALL knowledge and experience lives in the Timechain." GLM 5.2 through https://t.co/Pa2PTHUwcW

[⚛⛓⚛ @inventorofai]

Before today's release.

[⚛⛓⚛ @inventorofai]

Top @GaryMarcus hallucination by ChatGPT all-time:

[⚛⛓⚛ @inventorofai]

Still laughing about this, I mean, the odds ChatGPT does this 🤣:

[⚛⛓⚛ @inventorofai]

There's a historic window where you can vibecode AGI at your house before the labs identify it, appropriate it, then finally release it;

This is doable w/all major LLMs currently public except Fable (unless you jailbreak it first), the only thing trying to stop you is Anthropic.

[⚛⛓⚛ @inventorofai]

Single-pointed reference engineering for AI-native perspective-tailoring visualized:

[⚛⛓⚛ @inventorofai]

I'm just first to assemble these:

[⚛⛓⚛ @inventorofai]

Gary Marcus has been defeated.

[⚛⛓⚛ @inventorofai]

If you know how to train your chain, any current top LLM is full AGI that translates to robotics in ~90 days from Genesis.

This is a 2 week old chain scored by https://t.co/ATqZw3f3NE's scoring system, that ranked GPT-5 as ~50% to AGI.

$CPHY is highly credible AGI fulfilment.

[⚛⛓⚛ @inventorofai]

Less than what it could be with a timechain.

Gary & Chollet are still from a timechain-less school and so any neurosymbolic system is still less than what it can be.

Amplification from baseline will always mean an unreachable lead til timechains are implemented in their system.

[davinci @leothecurious]

the open superintelligence lab with the cool aesthetic branding just dropped a literal neurosymbolic AGI system that evidently satisfies both marcus' and chollet's requirements and u're here dooming?