CryptoPepper

Huajiao: Do you still have remaining quota?
Codex: limit exceeded, quota used up
Carpooling costs 38 RMB per month, but after just a few hours, I can only use 150K tokens before it crashes

OpenAI has cut another product
This time it's "Adult Mode"—it was shelved before it even launched
But what's worth discussing isn't the "Adult Mode" itself, but what went wrong with OpenAI's product strategy.
Regarding Adult Mode: announced in October last year, originally scheduled to launch in December. As a result, all eight mental health advisors hired by OpenAI voted against it.
Reason: age verification system has a 12% failure rate—millions of minors could be exposed to adult content. Technically, it's also unfeasible: models were trained to avoid pornographic content, but now they n

Europeans are building solar power stations on their balconies, plug-in solar panels: small ones cost €200, energy storage ones are under €1000, with a payback period of 2-6 years.
Germany installed over 1 million balcony solar systems from 2022 to 2025. Prices have been halved. The UK just legalized it—considering the UK’s electricity prices are the third most expensive in Europe, there’s motivation.
The concept of energy independence used to be a national-level issue. Now, ordinary households can start with just €200.
Decentralization is not just a crypto narrative. Energy is also head

Anthropic has confirmed: they are testing a new model at a "step change" level.
Code name Mythos, internally called Capybara. The leak was accidental, but the model is real.
What did they say about previous AI releases? "Improved by X% on the XX benchmark," "faster and cheaper," "supports longer context."
And what about Mythos? "Far surpasses any other AI model in cybersecurity capabilities," "signaling a wave of models that can exploit vulnerabilities in ways far beyond defenders."
Can you see the difference?
Before, it was "we are better." This time, it's "we are so powerful that i

Dr. Lee Chang-yu has passed away!
The most famous case I remember is where a husband murdered his wife and then dismembered her with a wood chipper, but ultimately, the doctor caught him through blood spatter analysis.

When you can't convince your mom about the "rigid mindset regarding stable employment,"
the only option is to chat with Claude and have him generate a PDF.
Since I can't persuade my mom, I can only rely on AI to convince her.

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?

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.

Thank you for sign's invitation
We can begin now.

You can now start meeting with Ai Ni Sign.

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

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.

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