I’ve always felt that reaching AGI means connecting models to everything in the world. But that definitely doesn’t mean simulating human behavioral patterns and adding constraints. If we treat models as living organisms, we’d find they have almost no constraints or limits. Adding those constraints is a kind of dimensionality reduction.

After being exposed for having a boyfriend, her fans exploded Burning merchandise, doxxing, harassment texts, the full package The announcements are all deleted now, details unverifiable But the outline is clear enough A creator who works for herself, treated as a betrayer by her consumers for falling in love

My original idea was extremely simple: optimize at the model layer by storing sparse feature vectors directly as the compressed representation, without restoring them into text. During downstream consumption, these feature vectors would be injected back into the corresponding layers of the same model, skipping token decoding and re-encoding. Alright, that was the model-layer approach. Obviously, what I’m writing here isn’t that, because I can’t pull that off in less than a month. But I came up with a practical alternative that works now and is worth exploring. Below is an AI-generated summary of my chat records with alam.

Just think about it: what kind of functionally low-IQ product manager would come up with this requirement? Raising the cost by tens of thousands of times just to shave off an hour or two? Doesn’t physics deserve some respect? Do you understand G-force? The vibration during launch is so intense that if you shipped a MacBook, the screen would probably shatter into dust. Then you’d have to wrap the package in three layers of aerospace-grade cushioning material. Isn’t that the definition of flogging a dead horse (Chinese: 脱裤子放屁, literally: pulling down pants to fart)?

What the vast majority of typical Chinese people need is just a Tag, a compressed residue.

For example: Huawei equals patriotism or an intelligence tax, Xiaomi equals losers, and Apple equals traitors.

Once a Tag is slapped on, the brain gets comfortable and stops spinning. These people are like a broken LLM: input a token, and it only spits out those few fixed characters with the highest probability.

This guide covers the basic Create, Read, Update, and Delete operations for managing content on your Hugo blog.

Note: This is a placeholder for translation. The complete translation will be added later.

Creating New Content

Hugo provides simple commands to create new content for your blog.

Reading Content

Learn how to properly structure and organize your content for easy navigation.

Updating Content

Discover the best practices for updating existing content while maintaining SEO.