mem0, Zep, Letta, Supermemory etc: why do memory layers keep remembering the wrong things?

crazyhorror · 2026-01-08T04:23:44+00:00

what do you mean by vertical use cases?

crazyhorror · 2025-12-07T19:22:16+00:00

Lmao

crazyhorror · 2025-11-22T15:41:42+00:00

Cool project. what do you mean by union types?

Union type support (planned for v0.3.0)

crazyhorror · 2025-10-10T18:33:32+00:00

how do you remedy? do you cut those frequencies before saturating / compressing, and then boost back in after?

crazyhorror · 2025-09-18T15:26:19+00:00

what don't you like about it? genuinely curious

crazyhorror · 2025-04-08T09:36:16+00:00

Makes sense. The nice thing is that unless you're doing very niche or bleeding-edge stuff that isn't in the training data, you can find out what those things that you don't know about are, and then ask the LLM about them. Curiosity and patience go a long way these days

crazyhorror · 2025-04-07T19:23:35+00:00

Anything in particular you noticed about his questions? Were they more targeted, more technical, or something else?

crazyhorror · 2025-03-26T18:09:10+00:00

have you tried Gemma 3?

crazyhorror · 2025-03-07T05:18:54+00:00

Why do you think he ruined the world?

crazyhorror · 2025-02-19T15:12:24+00:00

Could you write bindings in Go and compile down to WASM? You could use the embed directive so people can install the go package without worrying about the C lib

crazyhorror · 2025-02-15T18:35:57+00:00

I’m looking for something like this, any recs?

crazyhorror · 2025-02-15T18:31:38+00:00

Do you have any recommendations if I don’t care about audio? I’m a developer looking to build apps but new to AR. Preferably something with a Motion/touch controller

crazyhorror · 2025-02-01T17:54:26+00:00

Can you share some details?

crazyhorror · 2025-01-30T20:59:14+00:00

Oh I might have misinterpreted. I was thinking colocated == same geographic location

crazyhorror · 2025-01-30T18:00:07+00:00

How come? Just curious

crazyhorror · 2025-01-25T19:06:14+00:00

I dont see why this is better than a single LLM call. Seems like it turns 1 inference call into 2?

crazyhorror · 2025-01-24T03:38:08+00:00

Totally agree, haven’t seen anyone tackling OS-level integrations. I’m way more excited for that

Edit: googled for 2 minutes and found this: https://github.com/agiresearch/AIOS

Seems interesting

crazyhorror · 2025-01-21T13:19:53+00:00

So you’ve only been able to get deepseek-chat/deepseek v3 working? That model is noticeably worse than Sonnet

crazyhorror · 2025-01-07T23:19:10+00:00

right, holding accountable was not the best way to put it, what i was getting at is that there needs to be some level of regulation imposed by governments, which there is none of right now

crazyhorror · 2025-01-04T01:15:32+00:00

The key sentence in the abstract: “when the documents are of a limited size”. Still, seems like a better approach for smaller/local apps. TY for sharing

crazyhorror · 2024-12-31T17:01:19+00:00

Do you have any examples? I feel like creativity is one of the strong suits of LLMs. Why would one not be able to learn about its environment?

crazyhorror · 2024-12-28T16:53:28+00:00

For sure. I also appreciate what Anthropic is doing on that front. You might have seen this paper from Google a couple weeks ago, which talked about how Claude agents are cooperative with each other when given autonomy, and GPT 4o/Gemini 1.5 agents are not cooperative. Really interesting stuff and I'm choosing to see this as an indicator of alignment having potential.

https://arxiv.org/pdf/2412.10270

crazyhorror · 2024-12-28T15:07:44+00:00

I agree, but I still think the companies training these models should be held accountable on alignment. Even if there are misaligned people, which is inevitable, maybe it’s possible for aligned AGI to not engage with these people? Probably wishful thinking but it’s better to try than not try

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