CryptoPepper

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Because I have personally trained systematically for 10 years, I consider this basic common sense, and many people may not know it.
The post below from KeKeLi has gone viral, so I’m sharing it here for everyone to see.
1) The basic principle of strength training/muscle building is "approach the current muscle limit—cause slight damage to the body—spontaneous repair—muscle growth—repeat."
It can be simply understood as pushing the muscles to the limit, and they will grow.
2) In this process, your body first consumes resources and then replenishes, ultimately resulting in growth.
So you need to
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A series of confusing posts from the White House official account made me feel like the account might have been hacked.
Has anyone tried calling this 45470 number?
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"Is AXTI the new king of US stocks?"
I see posts like this on Xiaohongshu every day. Just change the ticker and keep shouting.
They keep trying to make you believe in the light—damn, there's so much of it.
Most people can't explain in one sentence what this company actually does.
AXTI makes compound semiconductor substrates. You've probably never even heard of it, right?
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Your little lobster's most useful feature is buying 258 nationwide flight discount tickets and then regularly polling this 0 yuan redemption.
This push notification is much better than your daily report push notifications.
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OpenAI Shut Down Sora
Launched with great fanfare in September last year, it hit the top spot on the App Store. Six months later, it was shut down.
Official statement: "Focusing computing power to world simulation research and robotics."
Translation: Too expensive to run, couldn't retain users.
That big deal with Disney? Three months, contract terminated.
Attention AI video creators: If OpenAI can't afford to sustain a product line, how long do you think your video AI startup will last?
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Thank you for sign's invitation
We can begin now.
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You can now start meeting with Ai Ni Sign.
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OnlyFans founder is gone, 43 years old, cancer.
Leonid Radvinsky. Most people haven't heard this name.
But he might be one of the most money-making internet entrepreneurs of the past five years. In 2018, he bought a 75% stake in OnlyFans for less than $50 million. By 2024, he was taking home $701 million in dividends alone in a single year.
Forbes estimated his net worth between $4.7 billion to $7.8 billion at the time of his death. He almost never gave interviews, had no public social media, and his own employees rarely saw him. A true behind-the-scenes player.
But what I want to discuss toda
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You who develop legal AI models are legal traitors.
You who develop director AI models are director traitors.
You who develop investment research AI models are investment traitors.
You who develop real estate AI models are real estate traitors.
You who develop encryption AI models are encryption traitors.
You who develop US stock AI models are US traitors.
You who develop health check AI models are health traitors.
You who develop scam AI models are scam traitors.
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Last September, OpenAI published a paper.
The paper's authors were OpenAI's Adam Tauman Kalai, Edwin Zhang, Ofir Nachum, plus Santosh Vempala from Georgia Tech.
They established a mathematical framework whose core finding is this inequality:
Generation Error Rate ≥ 2 × Judgment Error Rate
Suppose an AI has a 1% probability of making a judgment error on the question "what does 1+1 equal?" Then when generating an answer, the probability of making an error is at least 2%.
Why is there this amplification? Because one incorrect judgment spawns multiple incorrect generations. For example, if the AI
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<>One command to bridge WeChat with any AI (please star us on GitHub 🌟)
<> One command to connect WeChat with any AI
🤖 Multiple AI backends Claude Code CLI · Gemini CLI · Codex CLI · OpenAI API · Anthropic API
🖼️ Image understanding Send images, AI directly analyzes content (vision models)
🎙️ Speech recognition Built-in ASR + local Whisper dual fallback
🎬 Video analysis ffmpeg frame extraction + Whisper audio transcription, comprehensive video understanding
📄 File parsing PDF · Word · Excel · PPT · EPUB · code files fully supported
⚡ Streaming output AI replies with real-time typewriter
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Implemented voice - video parsing
GitHub is ready
Testing locally myself
Will release soon
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Resolved the cc - image recognition feature.
Next, address voice/file/command line control/video.
Coming very soon.
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Coming soon open source
Should be the first across the entire network to combine CC + together
Quick, hit that bell so one command can directly connect your local computer + cursor/claude code/anti gravity
Hassle-free!
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# Brief Review of the So-Called "AI Auto-Iteration to Find Optimal Strategy" GitHub Project
If you understand the basics, you can skip this—this is just marketing nonsense.
**Key Issues:**
1. **Sharpe 20.6, max drawdown 0.3%—almost certainly overfitted.** This literally cannot happen in reality. Even the Medallion Fund wouldn't claim a Sharpe ratio of 20. This is a red flag.
2. **All 103 experiments evaluated on the same data segment, without accounting for funding rates or maker/taker fees.** The backtest is incomplete and unrealistic.
3. **The git reset/keep mechanism just uses "history" as
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Drinking with the local human resources bureau director and discussing the pandemic:
"Do you know how many supply trucks a town coordinating 300,000 people needs during a pandemic?
It's not dozens of 2-ton trucks, but hundreds of them—one truck per minute. Now imagine scaling that up to 3 million people and how many supply trucks would be needed.
I used to think it was all amateur hour, but now I really don't dare think that way anymore."
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Alibaba's profits plummet 67%
Why? Massive AI investments. Cloud business grows slower
Breaking it down:
First level: Alibaba is all-in on AI. It's an investment, which means losses
Second level: Slower cloud growth indicates Chinese enterprises' cloud adoption growth has peaked
Third level: Actually bullish for US AI stocks—competitors are burning cash to catch up, proving NVDA's moat is even deeper
I don't care if Alibaba's stock falls or rises.
What I care about is: Chinese AI companies collectively burning cash → chip demand surges → NVDA benefits. People who understand the supply chain ma
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Someone said Claude has racial bias.
To be honest, every LLM has biases because the training data comes from the biased internet.
The key isn't whether "AI has biases," but whether "you are aware that it has biases."
Use AI as a tool, not as a mentor. Tools can have errors; mentors should not.
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Boris Cherny's story is worth everyone reading once.
Once homeless, sleeping in his car. Later he taught himself programming and became a CTO at a tech company.
His process of tracking down a memory leak bug became a classic case study in the tech community.
But what I want to say isn't motivational chicken soup, because this person is the one who built Claude Code that you're using right now.
Stories of "from zero to one" in the AI era will become more and more common, because AI has flattened the learning curve. It used to take 3 years to self-teach programming, but now with Claude's help it
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You're calculating the loan-on-loan interest incorrectly.
Borrow 50k, 6-period installment (platform standard 18% APY), monthly payment 9,800+!
Second month, use JD.com Baitiao to borrow 9,800 to pay it off, monthly payment instantly breaks 10k.
Third month, open Zhaolian Finance again, borrow 11k to plug the hole……
In 3 months, debt skyrockets from 50k to 68k+!
If you don't hit the brakes for half a year, you can have your car and house "installment" away by half.
This is the current reality—banks only lend to people who don't need money. They don't lend to those who genuinely need it. So whe
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