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Acquired.fm Carve Outs

Hacker News - Sun, 06/07/2026 - 6:08am
Categories: Hacker News

Ask HN: Why do AIs talk like this?

Hacker News - Sun, 06/07/2026 - 6:01am

It's not X, it's Y.

That is so a genre or idiom of the current AI age. Why? I think because AIs live in language. They don't live somewhere else. So they have to exclude all the language network of things it's not in order to focus themselves on the thing it is. If they were more subconscious/symbolic like us, they could just not say that. But because their words, create their words, etc - more than us - they have to use this construction, to exclude the gigantic amount of stuff that whatever you're talking about is not.

What do y'all think?

Comments URL: https://news.ycombinator.com/item?id=48433363

Points: 2

# Comments: 1

Categories: Hacker News

Netflix: 29 of the Best Sci-Fi TV Shows You Should Stream Right Now

CNET Feed - Sun, 06/07/2026 - 6:00am
Netflix always delivers the sci-fi goods.
Categories: CNET

Automated QA and Testing with AI

Hacker News - Sun, 06/07/2026 - 5:57am

Article URL: https://antirez.com/news/168

Comments URL: https://news.ycombinator.com/item?id=48433351

Points: 3

# Comments: 0

Categories: Hacker News

Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem

Hacker News - Sun, 06/07/2026 - 5:49am

This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data.

In the current state of agentic memory most of the context is stored in the form of a MD file or is derived through a RAG model where you store each and everything. Both of the solution leads to bloated context which does not optimize the usage of any tokens.

In this system we only keep relevant data in our memory and prune all the unnecessary data. The relevance of a data is derived through multiple factors such as recall rate, importance, category, to which memory chain it's connected to etc. These parameters are fine tuned so that we can cater to both episodic memory and semantic memory.

Our memory layer keeps the size flat in this manner. You can draw correlation of this infrastructure with how Human brain store and prune memory.

The enterprise model is something very exciting as we can extract relevant memories from each user, agent and sub agent in this layer and that can be used by any one in the org, ensuring memory optimization at an enterprise level.

Comments URL: https://news.ycombinator.com/item?id=48433327

Points: 19

# Comments: 0

Categories: Hacker News

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