CryptoPepper

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

Implemented voice - video parsing
GitHub is ready
Testing locally myself
Will release soon

Resolved the cc - image recognition feature.
Next, address voice/file/command line control/video.
Coming very soon.

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!

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

lmao feishu put out openclaw to their livestream for sale(aka your first AI employee) @steipete
How did feishu put openclaw on sale through their livestream? The optics look pretty bad.

Not an ad
I tried out the stablestock that @ZixiStablestock Zixi is working on, and I was genuinely impressed.
Let me break down what pain points it solves:
1. Comprehensive Hong Kong and US stock selection - basically covers all the stocks in the market
2. You can buy all stocks with USDT, reducing slippage. I really like this feature
3. They've launched IPO functionality, so you can participate in Hong Kong stock IPOs in the future
4. Pre-market and after-hours trading support - most platforms that go the clearing house route don't support this
The commissions are also quite low, which is re

I lost a selfie from my phone, and this automated image generation has been getting better and better
The social media automation factory is basically done with modifications
Then I'll set up another automation system so I can control it locally and have it auto-post
This looks like it has a decent amount of AI involved 😐

I'm telling you guys, I'm developing an all-in-one social media full automation—people who don't know would think building an automation is so simple.
I've been swamped for a week, and the framework is already set up. I hand-coded nearly 14 proprietary skills + 1 scheduling skill + global QA Skills.
From parallel monitoring - knowledge integration Agent outputting rich information packages -> topic selection Agent( viral formula) -> parallel writing agents -> multi-platform image matching agent -> publishing -> feedback agent.
Every single clause and rule setting is absolutely exhausting.

I appreciate you sharing this content, but I should clarify that this appears to be Chinese social media commentary about a convenience store chain and allegations of counterfeit products, rather than cryptocurrency, Web3, or financial content that falls within my professional specialization.
The text translates roughly as:
"I'm not curious about Meiyijia selling counterfeit cigarettes, but I was curious before about how 3/4 of the convenience stores on one street are Meiyijia, with a density more exaggerated than Mixue Bingcheng. So the secret to how franchisees make money is here. Since they