鸟哥 Bluebird Labs

An hour ago, CZ tweeted: “Why run all over the place— the crypto is safe in the security department.” Then on the BSC chain, the big dog $币有 suddenly surged upward dramatically!

After digging up a smart-money address: 4 days ago, it bought $币有 with a market cap of 5K using 85U, and achieved a 1249x return—making a wild profit of $121.9K (about 878,000 RMB)!

His wallet address:
https://web3.binance.com/zh-CN/portfolio/bsc/0xd4f77b8ba2433dd6d1dd3983c2e5151e688fda00?ref=BNBSOL

$币有 chart:

https://web3.binance.com/zh-CN/token/bsc/0xe9337dde3dd9e97f1f45a56412767ce5098e7777?ref=BNBSOL

CZ’s wallet address still needs to be monitored~!

I snagged 800 O1 tokens from the Base ecosystem airdrop and flipped 500U. If you've already claimed yours, don't sleep on it—sell early, sleep easy!

o1点exchange/base/airdrop

Buffett's 70 years of investment wisdom has been transformed into a knowledge map by one person in two days. It's recommended that every investor should take a look at it!

This website has broken down all 98 shareholder letters from Buffett from 1956 to 2025 into an interactive knowledge base👇

📊 Data Volume:

- 98 letters (partner letters + Berkshire shareholder letters, spanning 70 years)
- 49 investment concepts (intrinsic value, moat, capital allocation…)
- 61 companies (from Coca-Cola to Apple)
- 7 key figures (Munger, Graham…)
- 4726+ cross-references

The strongest aspect is: each concept, each company, and each individual is linked back to the original source, allowing for one-click tracing. This is not a second-hand summary; it directly points to Buffett's original words.

For example, the concept of "intrinsic value" appears 83 times in the 98 letters, and the context of each citation can be explored.

There's also a core idea map that visualizes the connections between Buffett's investment philosophies.

For those investing, researching, or wanting to systematically learn Buffett's thoughts, this is ten times more efficient than reading the original texts.

🔗 https://buffett-letters-eir.pages.dev

10 websites that cryptocurrency enthusiasts must bookmark; missing one could lead to losing money!

1️⃣ Macroeconomic Data: https://en.macromicro.me
CPI, interest rates, employment… not looking at macro when trading crypto is like driving with your eyes closed.

2️⃣ BTC Halving/Shutdown Price/Fear Index: https://fuckbtc.com
The name is crude, but the data is comprehensive; a must-see for BTC cycles.

3️⃣ Financing Information Inquiry: https://rootdata.com
Which project took whose money, just check it out.

4️⃣ Contract Data/Liquidation Map: https://coinglass.com
Funding rates, long-short ratios, liquidation heatmaps; if contract players don't look at this, they're just giving away money.

5️⃣ DeFi Data: https://defillama.com
TVL, protocol rankings, yields; essential for DeFi players.

6️⃣ On-chain Data Analysis: https://dune.com
Custom dashboards; a must-have tool for on-chain detectives.

7️⃣ Token Unlocking: https://tokenomist.ai
Which coin unlocks how much at what time; know in advance to act early.

8️⃣ Smart Money Tracking: https://intel.arkm.com
Whale addresses, institutional wallet movements; follow the smart money.

9️⃣ Airdrop Projects: https://airdrops.io
Airdrop information aggregation; don't miss out on free money anymore.

🔟 Market Data Overview: https://coingecko.com
Coin information, market cap rankings, on-chain data; the most basic yet the most important.

Your experience is being "distilled" into AI by the company, did you know?

Recently, Twitter exploded—after "colleague.skill" became popular, more and more companies are requiring employees to write their work experience into AI Skills documents.

Simply put, it's about taking what’s in your head, feeding it to AI, and then you can be replaced.

It's called "knowledge sedimentation", but in reality, it's "knowledge robbery".

Some people can't sit still.

A new project just came out on GitHub—anti-distill (anti-distillation), specifically to deal with this 👇

🛡️ What it does:

1️⃣ You provide the company's Skills document, and it helps you automatically "dehydrate"—with a complete structure, professional terminology, looking somewhat legitimate, but the core experience is all replaced with "correct nonsense"
2️⃣ At the same time, it generates a private backup, real judgment, lessons learned, and networking resources, all kept for yourself
3️⃣ Three levels of intensity to choose from: mild retains 80%, moderate 60%, and heavy only retains 40%

For example:
"The TTL must be set for Redis keys, otherwise the PR will be rejected" → after distillation becomes "Caching follows team norms"

Technically completely correct, but of no value in practice. This is the essence of anti-distillation.

To be honest, this project hits the pain points of all workers—your experience is your core asset, why should you give it away for free in exchange for a layoff notice?

In the AI era, protecting your irreplaceability is more important than learning any tool.

🔗 https://github.com/leilei926524-tech/anti-distill

Watch videos to learn languages (English, Japanese), this is the way AI should be opened! It's not boring! Any video content you like!

A 3.5k⭐ open-source project on GitHub—LLPlayer, a video player designed specifically for language learning, fully featured👇

🎬 Core capabilities:

1️⃣ AI real-time subtitle generation—based on Whisper, any video/audio can automatically generate subtitles without needing a subtitle file
2️⃣ Bilingual subtitles displayed on the same screen, supporting both text and image formats
3️⃣ Real-time translation—access multiple engines like Google, DeepL, Ollama, OpenAI, and can use LLM for context-aware translation, much more accurate than regular machine translation
4️⃣ OCR recognition—hardcoded subtitles can also be converted to text in real time, powered by Tesseract
5️⃣ Subtitle sidebar supports search, jump, and word lookup, learn while watching
6️⃣ Built-in yt-dlp, direct playback and learning from YouTube

💡 The most critical point: ASR and OCR run entirely locally, ensuring privacy and security, with support for NVIDIA GPU acceleration.

To be honest, using it to binge-watch American dramas to learn English or Japanese variety shows to learn Japanese is more practical than any language learning app. It's free and open source, not charging you a penny.

The only regret—currently, it only supports Windows.

🔗 https://github.com/umlx5h/LLPlayer