3 ms·

>The rapid advancement of large language models (LLMs) has significantly enhanced the capabilities of AI-driven agents across various tasks No it hasn't.

derektank 2y ago
Siri is a lot more capable at managing calendars with the iOS 18.1 update, at least in the 20 minutes I spent playing around with a friend's iPhone that was in the beta. My understanding is that most of the capability improvement is due to it running ChatGPT-4o on the backend
Grimblewald 2y ago
While it would be possible to recreate any functionality driven by an LLM by explicitly coding/defining the rules / relationships etc. it is not practically achievable in many situations. For example, I, as a single person, can use LLM's to power a discord bot that is not controlled with commands but rather reads and interprets all messages, decides when it is required, and answers questions or performs tasks as required. Here it runs trivia sessions on request, keeping a scoreboard, or settles rules based disputes regarding board games. People have always had the option of challenging the LLM's ruling on a dispute, but so far no one has managed to find a flaw. At this point we tend to just trust the LLM's ruling. It's a huge boon, because rules dispuites that used to stall games a good half hour while people rules lawyer-ed with one another, digging through the rules books now take seconds. The functionality that this thing has would be difficult for me to realistically achieve in my life time, when completing it as a hobby project. With LLM's this was a weekend project. Start to finish. You'll have a hard time convincing people like me that these things, when used appropriately, don't have enormous benefit in making tools otherwise to expensive to develop possible. are there more efficient ways to do these tasks? yes. Would these tools exist if not for the LLMs? no.

derektank 2y ago

Siri is a lot more capable at managing calendars with the iOS 18.1 update, at least in the 20 minutes I spent playing around with a friend's iPhone that was in the beta. My understanding is that most of the capability improvement is due to it running ChatGPT-4o on the backend

Grimblewald 2y ago

While it would be possible to recreate any functionality driven by an LLM by explicitly coding/defining the rules / relationships etc. it is not practically achievable in many situations. For example, I, as a single person, can use LLM's to power a discord bot that is not controlled with commands but rather reads and interprets all messages, decides when it is required, and answers questions or performs tasks as required. Here it runs trivia sessions on request, keeping a scoreboard, or settles rules based disputes regarding board games. People have always had the option of challenging the LLM's ruling on a dispute, but so far no one has managed to find a flaw. At this point we tend to just trust the LLM's ruling. It's a huge boon, because rules dispuites that used to stall games a good half hour while people rules lawyer-ed with one another, digging through the rules books now take seconds. The functionality that this thing has would be difficult for me to realistically achieve in my life time, when completing it as a hobby project. With LLM's this was a weekend project. Start to finish. You'll have a hard time convincing people like me that these things, when used appropriately, don't have enormous benefit in making tools otherwise to expensive to develop possible. are there more efficient ways to do these tasks? yes. Would these tools exist if not for the LLMs? no.