Google researchers deal a major blow to the theory AI is about to outsmart humans

Google researchers have submitted a pre-print paper to ArXiv which casts doubt on the ability of transformer technology, which underpins large language models (LLMs) like ChatGPT, to generalize beyond their training data. The paper points out that while these AI models are effective at tasks they are trained on, they struggle with out-of-domain tasks and simple extrapolation, raising questions about the current feasibility of achieving artificial general intelligence (AGI). The research suggests that while transformers represent an advanced technology, the complexity and opacity of neural networks combined with the vast amounts of training data may have led to overestimated capabilities. This realization is making many in the field acknowledge the limitations of LLMs. Experts and industry leaders suggest that although transformers may not be the final solution to AGI, they are still a powerful tool that can be directed and aligned for practical uses.

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A look back at all the Humane concepts before the official reveal.

Cool demos using new OpenAI features

• Quick GPT4V + TTS demo to automatically generate product walk-through voice-over video from screen recording

• 2 GPT-4 Vision experiments to create a self-operating computer and browse the internet

• ChatGPT Vision with Yoga: Am I doing this position right?

• Screenshot & ask questions about ANYTHING

• Vision API + TTS to commentate a LeagueOfLegends game

• Agi . zip - World's 1st custom GPT agent

• GPT4 Vision analyzes the screenshot and roasts it, while the new text-to-speech API returns it as audio.

• Draw A UI - GPT-4-vision API to generate UIs based on an image you draw.

• Amazing demo of the new 128k context window

• Some OpenAI Vision API Experiments including the famous Hot Dog, Not Hot Dog app from Silicon Valley

Prompt of the Day 🍭: Check Your Understanding

Click on the image to load the full prompt in ChatGPT (requires Superpower ChatGPT)

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