THIS IS HOW FABLE 5 MOVES WHEN YOUR VAULT IS BUILT RIGHT
direct path. zero wandering. hits the target on the first try.
without structure it's the opposite. 7 files opened. 2 minutes wasted. brief from 3 months ago still missing.
one index file per major folder. gives the agent a direct line to what it needs.
same task dropped from 2 minutes to 10 seconds. same model. nothing else changed.
build the path or watch it search in the dark.
full breakdown in the article below ↓
I genuinely don't understand why everyone isn't using this yet
Web scraping is dead.
PixelRAG is a retrieval system that skips HTML parsing completely.
100% open-source. Coes with a Claude Code plugin that gives Claude eyes.
PixelRAG skips HTML parsing completely. It screenshots the page and a vision model reads the answer straight off the pixels.
instead of converting a webpage to text, chunking it and embedding it, it screenshots the actual rendered page. a vision-language model reads the answer directly from the pixels.
this sounds like a gimmick until you see what HTML parsing actually costs you:
- a single HTML-to-text converter silently drops 40%+ of a page
- tables, charts, and visual layout get flattened into meaningless strings
- just swapping your parser can shift accuracy by ~10 points on the same documents
the parser was the problem the whole time.
the Berkeley team indexed all of Wikipedia as screenshots. 30M+ images. 8.28M articles. and it still outperforms the best text RAG baseline by 18.1% on pure text QA.
not visual QA. text QA. the format it wasn't even designed for.
it also ships a Claude Code plugin called pixelbrowse that gives Claude actual eyes.
instead of scraping the DOM, Claude screenshots any URL and reads the rendered page as a human would see it. hand it a live site, an arXiv paper, or your localhost and ask what's on the screen.
one pip install. no MCP server. no backend.
how the pipeline works:
- renders every document (web pages, PDFs, images) into image tiles
- embeds them with Qwen3-VL-Embedding, LoRA fine-tuned specifically on screenshot data
- builds a FAISS index and exposes a search API
the best part: upgrading your reader model improves accuracy instantly with zero re-indexing. because the index is just pixels, not text that needs to be re-chunked and re-embedded every time a better model drops.
a stronger VLM plugs in and everything gets better for free.
(Link in the comments)
Stop telling Claude "do this".
Stop telling Claude "write code".
Stop telling Claude "fix this error".
Here are 10 prompts for Claude that you can copy and paste directly:
For 3 years I defended ChatGPT.
Today I use Claude.
And I'm going to say something that 6 months ago I wouldn't have said:
It's the technology that's changed my life the most since the Internet.
These 10 prompts explain why I switched 👇
@ThuanCapital Nói về lịch sử tiền tệ giống như chiến tranh tiền tệ hay sự trần trụi của tiền (naked money). Sau khi nói về lịch sử thì nói về Btc ưu điểm như thế nào, khá hay cho những ai chưa đọc về lịch sử tiền tệ
🎄$BARA-mas is here🎄
Celebrate the holidays with our $BARA-mas giveaway and stand a chance to win $50 worth of $BARA! 🎉
How to enter:
1️⃣ Follow @capy_nation
2️⃣ Like and RT this campaign tweet
3️⃣ Hold 1.5M $BARA in your non-custodial wallet by 6 Jan 00:00 UTC
4️⃣ Gain a $BARA-mas role on https://t.co/5e5oGCl8Tq - https://t.co/bQRvuar4Uf
🎟️5 lucky winners will win $50 worth of $BARA each. Join us and have fun with this holiday season event! ☃️
#CapybaraNation
🍊Capybara Nation Meme Contest 🍊
Let’s see your best #CapybaraNation meme! Top 3 best memes will get: $100 USDT each 🤑
Show us your best Capybara Nation or $BARA memes!
How to enter:
1. Follow @capy_nation
2. Like and retweet this post
3. Reply this post with your best Capybara Nation meme with #CapybaraNationMeme
Ends on 18 Dec, 00:00 UTC
$RBTC
Did a 7x in the past 48 hours.
We got in before this move and I still believe it will go much higher.
Don’t fade as once this rabbit runs, it runs fast!
$X $HMSTR $TON
Phần kết luận
Chỉ báo On Balance Volume là một công cụ hữu ích để đo áp lực mua và bán và thường được sử dụng cùng với các công cụ phân tích kỹ thuật khác để có độ chính xác
Nguồn Tradingview
Mình tìm hiểu trên tradingview thấy hay nên chia sẻ chỉ số OBV
Khối lượng cân bằng là gì?
On Balance Volume (OBV) là một chỉ báo phân tích kỹ thuật đo lường áp lực mua và bán.