DeepManim

Learning is now enjoyable. In any language.

[DeepManim @manimable]

@AnthropicAI latest Interpretability paper is gold !
Understand and vizualze it easily with https://t.co/qjwgDcgC3v

Keep up the good work @claudeai !

[DeepManim @manimable]

@zRdianjiao @Zai_org Animated overview of GLM-5.1-HighSpeed engine
With DeepManim !

[DeepManim @manimable]

What happens when a civilization consumes all the energy of its planet?

Then its star?

Then its galaxy?

This DeepManim animation visualizes the terrifying climb from:
Type I → Type II → Type III civilizations.

Try out DeepManim !
#mars #exoplanet #planet #manim

[DeepManim @manimable]

Transformers process words in parallel.

So how do they know the difference between:

“The cat ate the fish”

and

“The fish ate the cat” ?

This video is a visual explanation of positional encoding:
the elegant mathematical trick that gives Transformers a sense of order and distance.
We explore:
• why embeddings alone fail
• the positional encoding problem
• sinusoidal embeddings
• multi-frequency fingerprints
• rotational geometry
• how attention learns relative distance

Video made with DeepManim (Try it out ! )

[DeepManim @manimable]

I asked DeepManim:

“Teach me Kolmogorov Complexity.”

And it generated a complete visual explanation of:
– randomness
– compression
– shortest programs
– incomputability
– Berry’s paradox
Not slides.
Not stock visuals.
Actual mathematical storytelling.
The crazy part is that Kolmogorov Complexity is one of those topics most people only encounter through dense theory papers.
But once visualized, the intuition becomes obvious:
Complexity is just the length of the shortest recipe.

This feels like a new way to learn difficult ideas.

Less memorization.

More direct understanding.

Try DeepManim

[DeepManim @manimable]

Math explanations are usually static.

A theorem.
A graph.
A paragraph.
But mathematical understanding is dynamic.
So I tested something with DeepManim:
I asked it to teach convergence rates.

It generated a full animated learning experience:
– sequences racing toward limits
– shrinking error terms
– polynomial vs exponential decay
– quadratic convergence “teleporting” precision

The interesting part isn’t just the animation.
It’s that this came from a prompt.

We’re getting closer to a future where complex ideas become instantly visualizable.
DeepManim is exploring that direction.

[DeepManim @manimable]

Ever wondered what speculative decoding is ?
It's a clever technique to speedup llms token generation

Here is DeepManim giving a satisfying explanation !

Try DeepManim !
#speedup #ai #manim #token

[DeepManim @manimable]

Ever wondered what the advantages of MoE over dense models are?
Here is an explanation made by DeepManim, it took 120B models as exemple

Just ask DeepManim

#MoE #speedup #llm #manim

[DeepManim @manimable]

DeepManim casualy explaining "What is quantization aware training and why it is useful"

Try DeepManim

[DeepManim @manimable]

What is quantum entanglement?

Just ask DeepManim and marvel on the satisfying video !

Try DeepManim

#quantum #entanglement #ai #manim

[David K. @flopsy42]

Paul Erdős collaborated with over 500 mathematicians and left a legacy of deep, deceptively simple problems.

With recent AI systems like GPT-5.5 making progress on Erdős-style questions, we may be entering a new era of mathematical discovery.

Here is a DeepManim video to break down his story and why this moment matters.

Try DeepManim !

#erdos #ai #maths

[DeepManim @manimable]

From characters ➝ subwords ➝ tokens

This new DeepManim animation shows how Byte Pair Encoding (BPE) bridges human language and AI understanding.

Simple, visual, and surprisingly satisfying 👇
#Token #AI #LLM

[DeepManim @manimable]

DeepManim is magical,
Here is it casually making an introduction to information theorie

Try it out !

[DeepManim @manimable]

I asked DeepManim "What is model steering ?"

It came out with a satisfaying animated video explaning it.

You can just consume Knowledge i guess

Try DeepManim !

#anthropic #llm #ai #safety

[David K. @flopsy42]

@Teknium Try DeepManim !

[David K. @flopsy42]

@witcheer You will love DeepManim !

Basic explanation of cpu vs gpu :

[DeepManim @manimable]

Are we alone in the universe ?
Is the great filter behind or ahead of us ?

Here is https://t.co/qjwgDcgC3v take on the mater

Try it yourself !!!

[DeepManim @manimable]

MIT just dropped ScienceClaw + Infinite:
300+ autonomous agents conducting distributed scientific discovery.

We visualized it with https://t.co/Ia0stgEOms

[DeepManim @manimable]

@NotebookLM @googlearts @royalsociety Wanna colab ? we could do miracles together 👀

[DeepManim @manimable]

@_guyregev Thx for the feedback, will fix those approximations

[DeepManim @manimable]

TurboQuant

AI models waste massive memory on vectors.

Compressing them usually adds overhead defeating the purpose.

Google's new paper uses just 1 extra bit to eliminate that overhead.

Result: same accuracy, way less memory.

Accepted at ICLR 2026. The trick? Random rotations + a 50-year-old math theorem.

Here is a https://t.co/8SdAAuZOJh overview of the paper.
#manim