THIS Artificial Intelligence will SURPRISE you

This video dives deep into three major breakthroughs in artificial intelligence that are rapidly changing the landscape beyond what we've seen with ChatGPT. The focus is on the exciting democratization of AI elements, with open-source Large Language Models (LLMs) emerging as strong contenders to GPT-4's dominance, the rise of autonomous AI agents like Jarvis and Auto-GPT, and the transformative power of applied AI in various industries.

Here's a breakdown of the key insights:

• Initially, GPT-4 is incredibly powerful, capable of writing video scripts and searching the web for information, making tasks significantly easier. However, there's a significant dependency on OpenAI and Microsoft; if they decide to restrict access or research directions, the community is left out. This centralized control isn't ideal for global AI research.
• The good news is the emergence of open-source Large Language Models (LLMs). Facebook's Llama model, even with its tuning parameters initially kept secret, was leaked by the community, leading to rapid independent development. This has progressed to models like Vicunia, which can achieve 90% of what GPT-4 does, often running locally on personal machines.
• A truly surprising development is that these advanced LLMs can now even run directly in your web browser. This means the "brains" of the AI operate on your own computer, decentralizing the power. The analogy used is that if Skynet (from Terminator) was initially at Microsoft, it can now run locally on anyone's MacBook. The implication is that if AI can run on any computer, it becomes unstoppable and customizable, meaning the only way to "beat" AI is by having the best AI, as you can no longer simply "shut off" central servers.
• AI research is accelerating at an unprecedented pace, partly because AI itself is being used to train more AI. While technically against copyright, GPT-4 is being used to train new language models, making them even stronger and driving this rapid growth. This opens up immense opportunities, especially for those in crypto, to cut down on workflow and automate mundane tasks.
• There are three main "doors" or opportunities opening up in the AI space:
  • 1. Training your own custom models: This involves using open-source LLMs to build personalized versions of GPT-4. This is highlighted as one of the biggest opportunities currently available, allowing individuals and organizations to tailor AI to their specific needs.
  • 2. Autonomous AI Agents (Jarvis and Auto-GPT): These systems allow AI to feed itself and refine its own processes to achieve specific objectives. Instead of just writing a video script, an agent could continuously refine the concept, hire a voice actor, and generate necessary images to complete an entire video production. Microsoft has released Jarvis, while Auto-GPT is an open-source project that allows GPT to continuously run instructions with itself. This is seen as the second biggest opportunity in AI.
  • 3. Applied AI: This is about taking the powerful AI technology and applying it to particular industries to revolutionize them. An excellent example is PodFast, a friend's project that uses AI to distill long podcasts into short, engaging, animated video summaries. This goes beyond existing services like Blinkist, which manually summarize books; PodFast's AI not only converts voice to text and processes it with an LLM, but also generates a video, automating complex, multi-layered tasks that previously required entire teams.
• The application of AI is considered the "last frontier" and has the potential to fundamentally change every industry, including content creation like writing articles and making videos. It's about empowering people to do what's smart (like distilling information) but at an unprecedented scale and speed, leading to world-changing impacts. The speaker is very interested in seeing which of these segments the community finds most exciting.