haha, I'm high level familiar with DAOs and I don't think so. LLM LLCs are about AI Power, not about decentralization, transparency, or governance. Actually in many ways opposite of DAOs in a basic execution of the idea.
AI
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Language Models Continue Sequences from Prompts, Not Maximize Rewards
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they don't maximize rewards, they are given a prompt (a kind of inception) and continue the sequence
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Automated Companies Powered Entirely by LLMs Communicating via Text
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automated companies made up just of LLMs (CEO LLM, manager LLMs, IC LLMs), running asynchronously and communicating over a Slack-like interface in text…
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Extending LLMs to Vision: Incremental Multimodal Integration with Flamingo
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Extending LLMs from text to vision will probably take time but, interestingly, can be made incremental. E.g. Flamingo (
https://
storage.googleapis.com/deepmind-media
/DeepMind.com/Blog/tackling-multiple-tasks-with-a-single-visual-language-model/flamingo.pdf
… (pdf)) processes both modalities simultaneously in one LLM. -
Why LLMs Process Text Instead of Raw Pixels
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Interestingly the native and most general medium of existing infrastructure wrt I/O are screens and keyboard/mouse/touch. But pixels are computationally intractable atm, relatively speaking. So it's faster to adapt (textify/compress) the most useful ones so LLMs can act over them
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LLMs as Cognitive Engines Orchestrating Compute Infrastructure via Text
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Good post. A lot of interest atm in wiring up LLMs to a wider compute infrastructure via text I/O (e.g. calculator, python interpreter, google search, scratchpads, databases, …). The LLM becomes the "cognitive engine" orchestrating resources, its thought stack trace in raw text
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Ethereum Foundation: No Discrimination Between Robots and Humans
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“…there is no discrimination against robots or humans in the Ethereum ecosystem…” – Ethereum Foundation #AGI #AIAgents #MontrealAI
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Nonlinear Vector Autoregression Emerging Over Random Reservoir Methods
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me too! I saw a couple of successful applications of them in real-world settings such as diagnoses of signals. I think though the latest developments suggest nonlinear vector autoregression instead of random reservoir which is an interesting direction:
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VQGAN Tutorial: Hidden Gem for Creative AI Generation
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This VQGAN tutorial is really impressive – a hidden gem! 😀