
0xBasit⏹️🧑💻🐶
7.9K posts

0xBasit⏹️🧑💻🐶
@bashcrypt0x
Web3 Cyber-Creator🤖AI Video Architect|Writer Strategist|Open for Ambasador|Social Media Manager for @CreateWestAF. voice for @ownthedoge & @dogeafrica_
8th Continent in Jupiter 🧭🗺️ Tham gia Ocak 2023
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AI is making the internet look more human than ever, but trust is becoming the real problem.
That is why @alienorg stands out.
They are building for proof of humanity, private identity, and a future where real people can still be recognized.
GM to the verified in the CT.👽
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@CYBER_DEV_001 @injective This is huge! Onchain AI agents trading 24/7 on Injective is the future of DeFi. Autonomous yields on autopilot....loving this direction.
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AI agents trading and executing strategies while you sleep? 👀
The combination of AI and Web3 is getting more serious by the day.
Seeing Injective push deeper into onchain AI infrastructure is actually crazy.
This space is evolving FAST.

Injective 🥷@injective
We just launched a brand new site dedicated to help you launch onchain AI agents that allow you to earn on autopilot. Build an onchain agent in minutes. Let it auto trade, route, and execute strategies while you sleep. Only possible on Injective. agents.injective.com
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Most people don't know their content has a new kind of value.
AI models need original human content to survive. It's called avoiding model collapse.
You might already be sitting on something companies will pay for.
Train a model on AI-generated content. Then train the next model on that output. Repeat.
By generation 5, the model is confidently wrong about things it used to know. This has already been measured.
Every generation of training amplifies whatever's dominant in the data while compressing the rare, the nuanced, the unusual.
A model trained on human writing includes outliers - edge cases, regional idioms, minority viewpoints.
A model trained on that model's outputs gets a smoothed version. The next generation, smoother still.
By generation five in some experiments, the model has lost the tails of the distribution almost entirely. It's more confident and less accurate. It hallucinates more. It gives plausible-sounding answers that are structurally wrong.
Most internet content published in the last two years contains some percentage of AI-generated text. Models trained on web crawls are already training on their own prior outputs without any labeling to indicate that. The contamination is in the pipeline now.
Synthetic data amplifies what's already in the model. It can't generate the tails - the edge cases, the regional idioms, the framings that only appear when real humans with real context make real calls. That signal gets rarer as the web fills with AI content, which means it gets more valuable.
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Enter @GenLayer.
They aren't just building another blockchain; they are building the first AI-native trust layer.
Think smart contracts, but intelligent.
Capable of understanding natural language, pulling web data, and making subjective decisions on-chain.

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