Video · Everlast AI ·

It Begins: AI Is Now Improving Itself

This Everlast AI video by Leonard discusses AI recursive self-improvement. A 23-year-old DeepSeek researcher, identified as Leo Sheng You / Liu Shengyu, an alumnus of Peking University's Turing class since April 2025, published a roughly 3000-character essay titled 'Ich muss mein Talent im gestern begraben' that reached #1 on the largest Chinese knowledge platform within 48 hours. He writes 'kernels' - programs executed billions of times when a model answers - previously this role belonged to DeepSeek V4.1's attention cell. He predicts that within a year the kernels an AI writes will be as good as or surpass his own. The video cites that Claude at Anthropic now independently leads 26% of its own AI research (under 1% in February), that at OpenAI 3.1 agent workdays occur per human workday and that since June agent compute time exceeds human work time, and that Serge Brin directs over 1000 researchers at Google on this 'kernel'. Dario Amodei reportedly demanded a speed limit for this ability on September 12, with Sam Altman and Elon Musk agreeing publicly the same day. Jürgen Schmidhuber, called the father of AI by the New York Times, traces self-improvement algorithms to his 1987 thesis. Recursive self-improvement means a system can examine and replace its own learning method. Google DeepMind describes four types: code, hardware (chips), data, and more. OpenAI's first own inference chip, Jalapeno, was completed in about 9 months with help from an internal model. The video uses

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VideoNate Herk

I Told Claude to "Make it better" 100 Times (It Went Too Far)

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Google "Carbon" just won everything...

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VideoMatt Wolfe

His AI Made 20 Reels Before Breakfast

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VideoTwo Minute Papers

Deepseek's New AI Has A Secret

Two Minute Papers reports that DeepSeek has released a new AI system, DeepSeek v4.1 Flash 1017, roughly five weeks after its prior version. In the creator's independent tests, it builds better working software and is much better at using the terminal to operate a computer. It is available through the API for a bit more than a dollar per million output tokens, which the video calls about 15 times cheaper than Claude Opus 5.5, though the creator cautions that cost per task is somewhat higher because DeepSeek can take two to three times more tokens than Claude Opus for the same task. The model's weights can be downloaded and owned for free, but running it requires H100-class hardware the creator cannot run at home. Because the architecture did not change, the creator hypothesizes the capability jump comes from 'learning from self feedback,' in which the AI critiques and improves its own work.