captaincaveman's comments

captaincaveman | 1 year ago | on: Why we no longer use LangChain for building our AI agents

I think LangChain basically tried to do a land grab, insert itself between developers and LLM's. But it didn't add significant value and seemed to dress it up by adding abstractions that didn't really make sense. It was that abstraction gobbledygook smell that made me cautious.

captaincaveman | 1 year ago | on: ARC Prize – a $1M+ competition towards open AGI progress

When we see what we think is a cat, what we have categorised as a cat, I don't think we are looking at it from each angle and going, cat, cat, cat. I think there is an aspect of something like the 'free-energy principle' that is required to trigger off a re-assessment. So while visually we may receive 20fps of cat images, it's mostly discarded unless there is some novelty that challenges expectation.

captaincaveman | 1 year ago | on: ARC Prize – a $1M+ competition towards open AGI progress

I don't think its analogous, I don't think we see a cat and our brain have it frame by frame adjust our synaptic weights (or whatever brains do). The whole premise of natural brains being able to learn by static images or disjointed modalities is a very clunky reductionist engineered approach we have taken.

captaincaveman | 1 year ago | on: Ask HN: Do you think AI Agents are overhyped?

I think there is potential, but at the moment it's

1. RAG your data 2. Magic 3. Agent business logic 4. $$$

where step 2 is very unclear.

Also agent architecture what is it? A basic FSM which in essence is a bunch of business logic/rules with LLM API calls, how do you make this reliable for transactions.

I've yet to see a decent example of a business process replaced which isn't a question answer scenario i.e. call centre type role.

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