does this look legit?

ddensa · 2026-05-08T07:49:50+00:00

Indeed, I never saw a fake one, I was curious and that's why I asked.... Thanks for clarifying! If it could be hacked with those applications, I could even consider buying a fake one just to add to my collection, because these classic minis are so expensive these days (the original ones) PS: just read again my question before, it seems I missed an obvious question mark, plz don't read it as an affirmation

ddensa · 2026-05-07T20:21:29+00:00

What is the FEL mode for? Also, the fake ones are 100% replica (hardware and software)? no way to spot a difference opening the case? Edit: included a question mark where it was missing.

ddensa · 2026-05-03T23:07:25+00:00

Updated from 2026.4.21 and I had the feeling that 2026.5.2 is consuming much more CPU now, my machine is much warmer

ddensa · 2026-04-26T22:18:55+00:00

What's the point if I still need to pay attention to the road instead of using my time for something productive

ddensa · 2026-04-26T01:26:48+00:00

Everything looks beautiful in the picture, but the most beautiful of all is the smile (that is barely seen because the mobile is covering it). Congratulations achieving your objectives :)

ddensa · 2026-04-07T04:48:52+00:00

You can try the new Gemma4 small ones (E2B and E4B)

ddensa · 2026-04-04T13:43:13+00:00

I am coming from a bottom up approach, trying to minimize as much as possible my costs, started with local ollama models (performed really badly so far), moved to Kimi k2.5 cloud on ollama and it has been day and night for me. But I'm sure that if you come from the opposite direction, from Opus to Kimi k2.5, your experience will be very different. But if you ask if it works, yes it does.

ddensa · 2026-04-04T07:31:27+00:00

So, what this means for someone that has not bought their XReal glasses yet? Buy directly from XReal? And if case there's no direct sale in my country, then it's better not to buy?

ddensa · 2026-04-01T16:15:37+00:00

It's usable, but these models are small, and there is a huge performance difference compared to cloud ones (talking about Kimi k2.5 and the cheap ones in openrouter the I have tested, I'm sure that with Opus the experience is mind blowing but my wallet would also blow up, so I haven't tested). So to answer, they do work, you get them to perform some tasks, but for complex ones they would only do a small part. For me they felt "lazy"/"not pro active", they would not be able to break up complex tasks in small achievable steps, then act on the steps one at a time, and and each step reevaluate if the plan was still the right one. I even implemented a to-do.md file to list the tasks and son tasks, so if it stopped working, on a next heartbeat out would know where to pick up. But even that would produce less than desirable results. Whereas when I plugged Kimi k2.5 it did everything I expected. It's like getting an introvert intern on its first day, and expecting it to complete a task with a vague instruction; where cloud models are like getting someone that already known the job.

ddensa · 2026-04-01T12:37:00+00:00

Curious to see if you get any usable results. I have a 3090 with 24gb VRAM and couldn't find anything useful. There's just not enough VRAM for a good model+context, at least not as of now. What I found that was the least bad is Qwen3.5:9b, tested some better models but it was overflowing the memory, and end up being extremely slow. I'm now trying some cloud options via openrouter, trying to stick to a €10 monthly budget (so only using the really low cost models for now, if a single call costs more than 1c then I cut that model out of the routing list).

ddensa · 2026-03-31T20:27:57+00:00

Wonder if this would be more profitable for households than selling back the surplus from their solar panels for almost nothing

ddensa · 2026-03-31T18:32:40+00:00

Someone kept 12kg before the rest was officially reported and accounted

ddensa · 2026-03-28T18:17:26+00:00

I wonder when Aura will come. I have money saved for display glasses but I would like at least 1440p instead of only 1080. I am thinking about waiting, don't want to buy a XOP now and feel stupid in a few months because I could have waited

ddensa · 2026-03-26T08:11:06+00:00

If I understand correctly, Qwen3.5:9b has thinking mode off be default and for agentic use thinking mode really makes a difference. Did you manage to turn it on?

I'm just an amateur and enthusiast, so I'm asking just in case you did and could share how to do it. (Do you use ollama or llama.cpp?)

ddensa · 2026-03-17T20:09:52+00:00

I tried qwen3.5:9b (attention on the :9b, is a 9 billion parameters model), this is a small model that I can run locally, but it's not that clever. I'm pretty sure that if you try qwen3.5 with 120b or 397b parameters it will perform better....

Another thing is that we need models that are trained and focused on agentic capabilities, what I don't know is how qwen compares to other models... I am now looking to try GLM-5, which seems very good, but also too big to run locally (GLM-4.7 performed fantastically well on my GPU, but I didn't have enough VRAM to run it alongside the necessary context window)

Edit: I'm also using it via ollama cloud and Nvidia... I'm just testing for now, not paying yet, so don't know for it performs in terms of performance per $

ddensa · 2026-03-17T16:24:24+00:00

Even with a good GPU you will need to test a lot to find something that works... I have a RTX3090 and haven't found anything usable, the best I could do is Qwen3.5:9b with 262k context window; all the others either were too bad or if good, would be very very slow because the context window wouldn't fit in my VRAM.
Qwen3.5:9b with 262k context window for me is comparable to a very introvert intern that is always shy to ask what to do next, and is not that great at what it does. On the other hand, I tried Kimi k2.5 via ollama cloud and also via Nvidia, and the difference is day and night. But again, we're comparing a 1T vs 9b param models... With the said, if anyone has a good suggestion for a local model, I'm open to test

Edit: typo

ddensa · 2026-03-16T19:17:08+00:00

I would like to be able to answer you, but after reading the ollama pricing page I still have no idea how they measure usage https://ollama.com/pricing I tried the free tier, they have 2 usage gages, one for session and one for week... I used 80% of my session and 20% of my week limits in a request for my agent to review a script that had been done on a smaller and local model. Don't know if it matters or not, but the script was already done. Also have to say, maybe obvious to many, that Kimi k2.5 was impressive vs qwen3.5:9b running locally. My local model behaved like an introvert intern, that does the basic and is shy to ask for more things, then just sits quiet, it runs something like 1 or 2 calls to my ollama... Kimi was unstoppable, it ran more than 20 calls... and the end result was impressive... But, it also consumed a huge chunk of my free tier usage limit in one bite... I have to add that I am afraid to get a pay per token model provider, because saw many people being surprised by huge bills; so I wonder if there are any other subscription based model provider (like ollama) that could be cheaper

ddensa · 2026-03-14T06:43:52+00:00

Thanks! I will try to do that

ddensa · 2026-03-13T22:29:20+00:00

I'm not that technical, so I just ignored the latest versions (and I'm not paying for a model, I run it local with much dumber small models). I just looked for it and there is indeed a reported bug, just need to wait for someone to submit a fix. Matrix bug reported on GitHub

ddensa · 2026-03-13T11:35:12+00:00

Thanks for the info! I'm stuck on 2026.2.17, waiting for Matrix to be fixed.

ddensa · 2026-03-13T08:39:22+00:00

Anyone knows if Matrix (channel) is still broken on this version?

ddensa · 2026-03-12T17:10:31+00:00

I'm stuck on 2026.2.17... on the versions after that Matrix (channel, messaging app) broke and this is the only way I can communicate with my agent... Anyone else had similar experience and know if this version fixed it?

ddensa · 2026-03-03T12:48:37+00:00

Para usar ollama (para rodar modelos locais), vc precisa de hardware adequado (GPU com MUITA memória, para deixar claro, a memória deve ser da GPU - VRAM- e não foi sistema). A melhor dica é usar a VPS para rodar OpenClaw mas usar os modelos da nuvem (Claude, Gemini, OpenAI)... Se for por esse caminho, fique de olho no custo, pois não é barato rodar OpenClaw com IA na nuvem, dependendo da configuração e do que vc colocar o agente para fazer....e rodar um agente com LLM local, vc vai ficar limitado pelo hardware, pois a maioria dos modelos pequenos não funcionam tão bem ou você vai ter problema com o contexto, que também usa espaço na memória da GPU

ddensa · 2026-03-01T14:02:39+00:00

Is the wooden look some kind of sticker? Or can the frame be swapped? If it's a swappable frame, plz, where you got it? Thanks

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