DeepManim

@AnthropicAI latest Interpretability paper is gold ! Understand and vizualze it easily with deepmanim.com Keep up the good work @claudeai !

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 deepmanim.com overview of the paper. #manim

Spot on, love it !

So satisfying and clear !

Cursor's AI agents spend most of their time doing one thing: grep. A tool from 1973. When your codebase is small, it's fine. But Enterprise customers have monorepos where a single grep takes 15+ seconds. So Cursor built a new index, from scratch. Here is an overview made by deepmanim.com

EsoLang-Bench. A programmer who learned Python can pick up most new languages pretty fast. This study tested if AI can do the same. 80 problems across 5 esoteric languages. Same logic as Python. Result: 0% on Medium/Hard. All models. All strategies. What does this tell us about how AI learns vs how humans learn? deepmanim.com made an overview of the paper. try it out. #ai #intelligence #manim

Just saying, but deepmanim.com is available in all languages 👀 and get you a more agreable containt

We wanted to come on here to clear the air and confirm that the rumors are true... Cinematic Video Overviews are officially rolled out to 100% of Pro users in English! Please respect our privacy during this time by flooding our replies with your favorite creations.

A Meta security researcher's OpenClaw agent deleted 3,000 emails she didn't ask it to. It wasn't a bug. It was a prompt injection — a hidden command buried in a web page. Here's how it works, and why it matters for anyone using AI agents today. Video made with deepmanim.com #OpenClaw

@karpathy autoresearch is being underestimated. Not for the results (126 experiments overnight, 11% speedup). For the PATTERN. One GPU. One file. One metric. The agent forms a hypothesis, runs the experiment, checks the result, and repeats. We ran 550+ experiments over a weekend. Zero babysitting. Here's what we learned deepmanim.com animated it #research #agent #loop #RecursiveAI #manim

A journalist reported facts about an Iran missile test. Polymarket gamblers who bet the opposite threatened to kill her unless she rewrote the story. Prediction markets were supposed to aggregate information. Instead, they created financial incentives to silence journalism. Animated explainer below. deepmanim.com #Polymarket #PredictionMarkets #Journalism #Manim #Learning

Apple had the hardware, the ecosystem, the trust. They could've shipped an AI that actually controls your : Mac, Iphone, Airpods, Ipad Instead they shipped notification summaries. OpenClaw just proved what Apple Intelligence should have been , and people are literally buying Mac Minis just to run it. Here is a breakdown by deepmanim.com #openclaw #clawbot #Applenews #manim #DIY

What if residual connections could THINK about which layers to remember? That is Attention Residuals — a new paper from Moonshot AI that replaces fixed skip connections with learned attention. 1.25x faster, almost zero latency cost. Animated explainer: Try it: deepmanim.com #AI #DeepLearning #NeuralNetworks #manim

@Kimi_Moonshot Terrific work ! Thanks @Kimi_Moonshot team ! I paid my tribute with this deepmanim.com animated video explainer :

Introducing 𝑨𝒕𝒕𝒆𝒏𝒕𝒊𝒐𝒏 𝑹𝒆𝒔𝒊𝒅𝒖𝒂𝒍𝒔: Rethinking depth-wise aggregation. Residual connections have long relied on fixed, uniform accumulation. Inspired by the duality of time and depth, we introduce Attention Residuals, replacing standard depth-wise recurrence with learned, input-dependent attention over preceding layers. 🔹 Enables networks to selectively retrieve past representations, naturally mitigating dilution and hidden-state growth. 🔹 Introduces Block AttnRes, partitioning layers into compressed blocks to make cross-layer attention practical at scale. 🔹 Serves as an efficient drop-in replacement, demonstrating a 1.25x compute advantage with negligible (<2%) inference latency overhead. 🔹 Validated on the Kimi Linear architecture (48B total, 3B activated parameters), delivering consistent downstream performance gains. 🔗Full report: github.com/MoonshotAI/Att…

You can prune 50% of experts from a 1T parameter model and barely lose performance. Sounds impossible? This paper proves it. Animated explainer shows exactly how REAP works. Animated with : deepmanim.com Paper : REAP the Experts: Why Pruning Prevails for One-Shot MoE compression Great work @cerebras ! #AI #MoE #Manim #Cerebras #Computing

Most people think the internet is linear. 2× effort → 2× results. Reality? It’s a power law. I once spent 2 weeks writing an article that got 30 views. Then I made a 4-minute meme that got 17M views. Luck? No. There’s math behind it. I animated the hidden math of virality with DeepManim 👇 deepmanim.com #viralreel #manim #CreatorEconomy #Growth

@forallcurious Stop staring at concepts that still don’t click. Here is deepmanim.com giving an animated explanation of fusion !

🚨: Germany's new stellarator fusion reactor is set to deliver limitless clean energy to the grid by 2031

@LDLC nondeterministic polynomial time

"np" pour vous ça veut dire quoi ?

Stop staring at concepts that still don’t click. Just use deepmanim.com

$ OneMillion-Bench: How Far are Language Agents from Human Experts? arxiv.org/html/2603.0798… Here is deepmanim.com overview of the paper. drop in any paper, of just ask any question to get a stunning animated video. #manim #LearnDaily #LLMs

@suni_code deepmanim.com Binge learning is now a thing

Drop your project URL Let’s drive some traffic Curious to know what you all are building

An AI agent gets a request: “Delete my secret email.” It doesn’t have a delete tool. So it runs RESET_ALL. 💥 Entire email server wiped. 100% data loss. This isn’t fiction, it’s a real design failure in AI agents. I built a visual explainer with Manim 👇 • Why agents obey strangers • Why identity checks fail • Why multi-agent systems cascade failures agentsofchaos.baulab.info Built with DeepManim deepmanim.com