Leonard Contier

A lifetime of seeing and feeling suffering while looking for answers

[Leonard Contier @ContierLeonard]

@innov8tor3 @Atotsm2 @Dave_Wolf @BurkhartRj @antlerboy @ReGener26717025 Was it mr Beast who went to Africa and dug a bunch of wells?

Send them seeds and the internet and they will get creative and feed themselves.

Let this internet Teach them to dig wells they own

Teach them natural hygiene

Teach them natural building

Share economy

Inspire them

[illuminatibot @iluminatibot]

A former World Bank president has sounded the alarm, revealing that the Federal Reserve has lost over a trillion dollars—and counting—turning it into nothing more than a massive hedge fund for the rich and powerful.

He claims the Fed is borrowing money from banks at 5.4% interest, then pouring it into government bonds, creating the illusion that the government���s financial situation is better than it actually is.

He warns that this scheme isn’t just limited to the U.S.—it’s happening across central banks worldwide.

[Brian Roemmele @BrianRoemmele]

Agree.

[Tehxi @yajnshri]

Scientists Can't Explain Why This Ancient Hum Dissolves Pineal Calcification.

[War Correspondent @warDaniel47]

🚨 HOLY CRAP — Dr. Phil just TORCHED the scam that's been screwing over every hard-working American!

Workers pay into Social Security with already-taxed dollars... then the government hits seniors with TAXES AGAIN on their own money.

Patently unfair. Straight-up theft.

Trump is the ONLY one fighting to END this double taxation BS and put seniors first.

Are you DONE with the government robbing retirees? YES or NO? 🇺🇸

[Leonard Contier @ContierLeonard]

@BrianRoemmele Also funny

[Leonard Contier @ContierLeonard]

@LendingLiesX Love it

[Leonard Contier @ContierLeonard]

@1_Stupid_Fuck Ahead of the pack you are

[Leonard Contier @ContierLeonard]

@cognitivepolicy @greenpillnet Do good things Joe Brewer

[Joe Brewer @cognitivepolicy]

If we know what is needed to organize ourselves for regenerating the Earth, why isn't humanity doing it? It is partially because we feel trapped in the dying system and also because most of us never cultivated the capacities we would need to be able to make the transition.

This focus on human capacities is fundamental. In our kick-off to the new learning journey "Regenerating the Earth Through Collapse", our co-founder Penny Heiple talks about what each human being will need to be able to do in order to live into this new story.

She outlines these core capacities:
- Come to full collapse acceptance.
- Become aligned with your sacred responsibility as a human being.
- Act with integrity, sovereignty, and devotion from this place.
- Become a holistic and systemic thinker.
- So that you can consistently act in service to life.

Watch the webinar recording here to learn more:
https://t.co/86aYRclD6H

[Brian Roemmele @BrianRoemmele]

This is absolutely a great idea.

Brilliant way to show how @Grok is the most powerful frontier model at a rate anyone can afford.

[Brian Roemmele @BrianRoemmele]

LeWorldModel: Yann LeCuns Radical Simplification of World Models Just Made Physics-Aware AI Practical

In the race for artificial general intelligence, two paths have emerged. One is the familiar scale everything route: bigger LLMs trained on ever-larger text corpora. The other, championed for years by Yann LeCun, is building world models: compact systems that learn the underlying physics of reality directly from raw sensory data (pixels) so AI can plan, predict, and act in the physical world like a robot or self-driving car actually would.

Until now, the second path has been frustratingly difficult. Joint-Embedding Predictive Architectures (JEPAs) - LeCuns elegant framework for learning predictive representations without reconstructing every pixel - kept collapsing during training. Researchers had to resort to a laundry list of hacks: multi-term loss functions (up to six hyperparameters), frozen pre-trained encoders, stop-gradients, exponential moving averages, and other duct-tape tricks just to keep the model from mapping every input to the same useless output.

LeCuns team (Mila, NYU, Samsung SAIL, and Brown University) dropped a bombshell:

LeWorldModel (LeWM) - the first JEPA that trains stably end-to-end from raw pixels using only two loss terms. No more house-of-cards engineering. Just a clean, simple recipe that works on a single GPU in a few hours with only 15 million parameters.

The Core Breakthrough: SIGReg Saves the Day

LeWorldModels secret weapon is a new regularizer called SIGReg (for spherical isotropic Gaussian regularizer). It enforces a simple Gaussian distribution on the latent embeddings.

This single term prevents representation collapse without any of the previous heuristics.

The training objective now has just two parts:

1. Next-embedding prediction loss - the model predicts what the next latent state should be.

2. SIGReg - keeps the latent space well-behaved and diverse.

Thats it. Hyperparameters drop from six to one. Training becomes stable, reproducible, and dramatically cheaper.

The model learns directly from raw video frames (no pre-trained vision encoders needed) and produces a compact latent world model that can be used for fast planning.

Impressive Results on Real Benchmarks

Despite its tiny size, LeWorldModel punches way above its weight:

- Trains on a single GPU in a few hours.
- Plans actions up to 48 times faster than foundation-model-based world models.
- Uses roughly 200 times fewer tokens than alternatives.
- Matches or beats far larger models on diverse 2D and 3D control tasks (e.g., manipulation, navigation).
- Its latent space encodes meaningful physical quantities (position, velocity, etc.) - proven by direct probing.
- It reliably detects physically implausible surprise events, showing genuine causal understanding.

Crucially, adding a decoder and reconstruction loss hurts performance on downstream control tasks. The pure JEPA objective already captures everything needed for planning - extra visual details just get in the way.

Project website: https://t.co/KhGR9LiIQZ
Official code: https://t.co/s1lI9kevJS

Why This Matters for the Future of AI

LeCun has been saying since 2022 that world models (not next-token predictors) are the key to real intelligence. Critics always pointed to the training instability. LeWorldModel removes that objection with elegant simplicity.

This is a philosophical reset: AI can learn physics the way babies do - by watching the world unfold - without needing supercomputers or endless text.

The implications for robotics, autonomous vehicles, and embodied agents are enormous. Suddenly, building a physically grounded planner is something a researcher (or even a hobbyist) can do on consumer hardware.

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[Leonard Contier @ContierLeonard]

@redbeard172023 How do you make use and have complete separation

[Jared Tate ©️ @jaredctate]

What if you could spend crypto without selling it? Or giving up your private keys? 👀

Introducing $DGB DigiDollar: World’s 1st UTXO, time-locked, over-collateralized stablecoin built on DigiByte. ⚡️

Here is a video intro + tech deep dive + wallet demo. Watch & repost! $BTC

[Leonard Contier @ContierLeonard]

@jaredctate Johnnylaw what do you think 🧐

[Leonard Contier @ContierLeonard]

@Johnny_DGB Great Johnny

[Leonard Contier @ContierLeonard]

@BrianRoemmele @pilot_winds A business with no people needs little profit.

Home ownership could be done this way

Help get this built
Land Farms and homes

[Leonard Contier @ContierLeonard]

@1_Stupid_Fuck You Got This Brandon

I have no understanding of the Maze but I can see and hear that you do.

Back up and review then go for it.

Love your attitude and wonderful work
��️ Leo

[Leonard Contier @ContierLeonard]

Brian Roemmele Can you Digitally record these https://t.co/9HxwTSP8ys

[johnnylaw @Johnny_DGB]

If a "price" crash happens in the "market" but the coins don't actually change hands.

Did the crash really occur?

[Leonard Contier @ContierLeonard]

@thehealthb0t Find out “who “ in the “Government “ is suing and sue them personally