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by Night_Thastus
959 days ago
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What he's talking about is absolutely not possible with an LLM. An LLM is just for language and has no deeper understanding, reasoning, logic, learning and growth, etc. See here: "Agents are smarter. They’re proactive—capable of making suggestions before you ask for them. They accomplish tasks across applications. They improve over time because they remember your activities and recognize intent and patterns in your behavior." None of that is possible with today's LLMs - not in the way he's describing it. |
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> They’re proactive—capable of making suggestions before you ask for them.
An LLM can capture things that are "todos" very easily now. If someone messages you and says "can you collect data on the Brenda client" it can know that this is a request.
Further, if you give it access to notion or company wiki, it could be tuned to understand your clients, work and much much more.. The LLM can, in today's work: open an email, or a VSCode instance with some pre-filled connection to your analytics database - maybe even a sample query with the Brenda client pre-filled.
Across applications - this is more-or-less something that will be coming soon. Within a few months you will see pretty much every major OS (linux, Mac, Windows) announce OS level APIs to interact with a basic LLM, and paid for LLMs. This will enable applications to start communicating with each other because they will generally understand what you're typing and output function calls..
When applications can ubiquitously call "predict(...)" at the OS level, and probably many other AI APIs that will be introduced, you will see a HUGE change in interactivity.
Now that being said, it sounds like you're picturing Tom Cruise in Minority Report, or Will Smith in I-Robot.
There's a huge in-between you're extending his conversation to that's totally unnecessary.