Darren LI

A great case for an open-source solution is when a transparency problem is present. What is a transparency problem? It’s when a solution being closed source creates distrust between the client and vendor.

In time, the ratio of human work lessens, eventually getting closer to full automation even in areas which require a human specialist—i.e., where small mistakes can have disastrous effects—but likely not without a human somewhere in the loop, especially in areas that are particularly unforgiving to mistakes, such as diagnoses, drug prescriptions,... See more

emerging of LLMs not as a chatbot, but the kernel process of a new Operating System. E.g. today it orchestrates:

- Input & Output across modalities (text, audio, vision)

- Code interpreter, ability to write & run programs

- Browser / internet access

- Embeddings database for files and internal memory storage & retrieval

Because AutoGPT is more long running, passing the full list of agent steps to the LLM call is no longer feasible. Instead, AutoGPT added a retrieval-based memory over the intermediate agent steps.

2. They also have ~55% of volume of assets going towards exchanges.

How companies can help creators manage NFT memberships: