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Charly Wargnier Profile picture
@DataChaz
Apr 24, 2023 • 5 tweets • 3 min read • Read on X
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The new iOS app from @runwayml featuring #Gen1 is 🔥 and now widely available!

- Turn anything into everything using your phone's camera
- Revive forgotten videos on your camera roll
- Effortlessly transfer assets to your Runway account without airdropping!

Download link ↓
Download link:
🔗 apps.apple.com/app/apple-stor… Image
Here's a live demo, courtesy of @stas_kulesh!
Here's another live demo from @Lapakko. (I'll post the original video below.)
This is the original video @Lapakko captured this the weekend in Oslo 🇳🇴

Incredible!

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More from @DataChaz

Charly Wargnier Profile picture
Apr 3
🚨 Karpathy’s new set-up is the ultimate self-improving second brain, and it takes zero manual editing 🤯

It acts as a living AI knowledge base that actually heals itself.

Let me break it down.

Instead of relying on complex RAG, the LLM pulls raw research directly into an @Obsidian Markdown wiki. It completely takes over:

✦ Index creation
✦ System linting
✦ Native Q&A routing

The core process is beautifully simple:

→ You dump raw sources into a folder
→ The LLM auto-compiles an indexed .md wiki
→ You ask complex questions
→ It generates outputs (Marp slides, matplotlib plots) and files them back in

The big-picture implication of this is just wild.

When agents maintain their own memory layer, they don’t need massive, expensive context limits.

They really just need two things:

→ Clean file organization
→ The ability to query their own indexes

Forget stuffing everything into one giant prompt.

This approach is way cheaper, highly scalable... and 100% inspectable!Image
Wow. Insanely fast turnaround from @himanshustwts!

A full breakdown of @karpathy’s self-improving wiki framework,

walking through every stage from ingestion to what comes next 👀 Image
@himanshustwts @karpathy Omar took a v. similar approach with @Obsidian

You can check it out here:

Read 5 tweets
Charly Wargnier Profile picture
Mar 19
With Voicebox, @ElevenLabs just lost its moat.

→ Powered by Alibaba's Qwen3-TTS for near-perfect cloning
→ Ships with a DAW-like "Stories Editor"
→ No cloud, runs locally on your machine

100% Open Source. 100% Local.

Link to repo in 🧵↓
It features a full-blown "Stories Editor" (DAW stylee!):

→ Drag & drop multi-track timeline 🎚️
→ Complex conversation mixing
→ Precise inline trimming

Perfect for creating podcasts or multi-speaker narratives locally! Image
Massive shoutout to @jamiepine for shipping this in open source!

→ voicebox.sh

Mac & Windows builds are already available.

Don't forget to give a ⭐ on GitHub to support Jamie!
→ github.com/jamiepine/voic…
Read 5 tweets
Charly Wargnier Profile picture
Mar 17
Someone built the ultimate visual LLM Architecture Gallery, packing 38 models from 2024-2026 into a single hub 🤯

It completely breaks down the complexity for you.

Inside:
→ Annotated diagrams
→ Key design choices
→ Actual code implementations

link to the gallery in 🧵↓ Image
Here is the full roster!

- Llama 3 8B
- OLMo 2 7B
- DeepSeek V3
- DeepSeek R1
- Gemma 3 27B
- Mistral Small 3.1 24B
- Llama 4 Maverick
- Qwen3 235B-A22B
- Qwen3 32B
- Qwen3 8B
- Qwen3 4B
- SmolLM3 3B
- Kimi K2
- GLM-4.5 355B
- GPT-OSS 20B
- GPT-OSS 120B
- Grok 2.5 270B
- Qwen3 Next 80B-A3B
- MiniMax M2 230B
- Kimi Linear 48B-A3B
- OLMo 3 7B
- OLMo 3 32B
- DeepSeek V3.2
- Mistral 3 Large
- Nemotron 3 Nano 30B-A3B
- Xiaomi MiMo-V2-Flash 309B
- GLM-4.7 355B
- Arcee AI Trinity Large 400B
- GLM-5 744B
- Nemotron 3 Super 120B-A12B
- Step 3.5 Flash 196B
- Nanbeige 4.1 3B
- MiniMax M2.5 230B
- Tiny Aya 3.35B
- Ling 2.5 1T
- Qwen3.5 397B
- Sarvam 105B
- Sarvam 30B
Access the high-resolution gallery and the blog post here:

→ sebastianraschka.com/llm-architectu…
sebastianraschka.com/llm-architectu…
Read 4 tweets
Charly Wargnier Profile picture
Mar 16
THIS is the wildest open-source project I’ve seen this month.

We were all hyped about @karpathy's autoresearch project automating the experiment loop a few weeks ago.
(ICYMI → github.com/karpathy/autor…)

But a bunch of folks just took it ten steps further and automated the entire scientific method end-to-end.

It's called AutoResearchClaw, and it's fully open-source.

You pass it a single CLI command with a raw idea, and it completely takes over 🤯

The 23-stage loop they designed is insane:

✦ First, it handles the literature review.
- It searches arXiv and Semantic Scholar for real papers
- Cross-references them against DataCite and CrossRef.
- No fake papers make it through.

✦ Second, it runs the sandbox.
- It generates the code from scratch.
- If the code breaks, it self-heals.
- You don't have to step in.

✦ Finally, it writes the paper.
- It structures 5,000+ words into Introduction, Related Work, Method, and Experiments.
- Formats the math, generates the comparison charts,
- Then wraps the whole thing in official ICML or ICLR LaTeX templates.

You can set it to pause for human approval, or you can just pass the --auto-approve flag and walk away.

What it spits out at the end:
→ Full academic paper draft
→ Conference-grade .tex files
→ Verified, hallucination-free citations
→ All experiment scripts and sandbox results

This is what autonomous AI agents actually look like in 2026.

Free and open-source. Link to repo in 🧵 ↓Image
Here is the repo:
→

Don't forget to ⭐ to boost visibility.

Massive kudos to the team for making this open-source 🤗github.com/aiming-lab/Aut…
Built by:
@HuaxiuYaoML @JiaqiLiu835914 @richardxp888 @lillianwei423 @StephenQS0710 @Xinyu2ML @HaoqinT @zhengop @cihangxie @dingmyu

They are actively looking for open-source contributors, so jump in.
Read 4 tweets
Charly Wargnier Profile picture
Feb 18
Anthropic quietly dropped 9 new Free Claude Skills tutorials 💥

Covering Projects, Excel workflows, browsing in Chrome, file editing, app integrations, task automation, and more!

Zero tech background required, so anyone can learn practical AI free and fast. 🧵↓ Image
1/ First things first, did you know you can create and edit files directly with Claude?

Draft documents, iterate on content, and keep everything in one place.
↳ claude.com/resources/tuto…Image
2/ Claude can also assist you while you browse in Chrome.

Summaries, explanations, and quick insights as you move across pages.
↳ claude.com/resources/tuto…Image
Read 11 tweets
Charly Wargnier Profile picture
Feb 14
Chinese engineers literally refactored @OpenClaw in Go for insane efficiency 🤯

It runs on a $10 @Raspberry_Pi instead of a $399 Mac mini.

→ Uses <10 MB of memory (99% smaller than OpenClaw)
→ 400× faster startup time
→ Boots in 1 second

Free and open source, repo in 🧵↓ Image
A side-by-side comparison between @OpenClaw, Nanobot and Picoclaw ↓ Image
here's the repo:
→ github.com/sipeed/picocla…Image
Read 4 tweets

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