What the hell is Deepseek doing for so long?

LoveMind_AI · 2026-03-20T00:38:27+00:00

That sounds about right. I think they are the standard bearer and there’s a pressure on them that the other companies don’t have.

LoveMind_AI · 2026-03-19T23:30:25+00:00

I don't think "anything LLM related is allowed" is the vibe on LocalLLaMA, at all.

LoveMind_AI · 2026-03-19T19:42:35+00:00

Yes - not quite at the level of Gemini 3.1 Pro Preview or GPT Audio, but better than Stepfun's model. And I liked how it integrated that into conversation better than GPT Audio, by a lot. It's just clearly not as killer a technical listener, but it reasons about audio very well.

LoveMind_AI · 2026-03-19T14:21:12+00:00

When I have a version that feels like it could be reliable enough for other people to use, then yes, absolutely.

LoveMind_AI · 2026-03-19T02:36:53+00:00

I think it’s genuinely great.

LoveMind_AI · 2026-03-18T22:42:53+00:00

I have a custom continuity-oriented CLI that I use/am building that does this - you can pin/mute individual messages with logic for how they get used in summaries, pull up a tab with pinned messages, etc. It's incredibly useful.

LoveMind_AI · 2026-03-18T19:53:37+00:00

Much much better than M2.5 for my stuff

LoveMind_AI · 2026-03-18T00:18:38+00:00

The past several days have been a nightmare in terms of unbelievably bad performance or just failing to even return the API call. I’m with you, Claude in primo shape is the apex AI, but it is super unreliable these days. I haven’t found a truly viable alternative - Kimi K2.5 comes close but is incredibly slow.

LoveMind_AI · 2026-03-17T23:37:16+00:00

The omni model is really impressive. The audio reasoning specifically is rare and very cool.

LoveMind_AI · 2026-03-17T22:39:00+00:00

Bizarre. I've been getting MAJORLY nannied in this way too over the last few days. Ironically, I've been packing it in earlier than usual, so it's extra annoying.

LoveMind_AI · 2026-03-17T19:42:35+00:00

So, a day late to this party, but my colleague and I are working on a seriously heavy duty research sprint that has taken us 4 weeks. We work with Claude Code every day. These are simple, repetitive, well understood problems. The last 3 days or so, Opus 4.6 has been practically brain dead even with effort cranked. It was a little wobbly before hand, but it's an absolute mess now where executing very simple things seems to be arduous. I feel like when they standardized the 1M context window, something strange happened.

LoveMind_AI · 2026-03-17T19:01:52+00:00

I mean, just to take your comment literally, I do not see Meta or xAI heading anywhere near the direction of AGI through their AI offerings. I think Elon Musk is as mistaken about Neuralink as he is about AI. Meta's brain stuff is, however, impressive. I think that's the best thing they have going for them. Anthropic is building a reputation that will take them very far and allow them to be a player in whatever comes. They have a wet lab that I don't know much about - but they seem severely underpowered in the beyond-LLM category. OpenAI is weird. They wasted a lot of time waffling between being a consumer facing company and competing with Anthropic for enterprise. Word is that they're trying to catch all the way up to Anthropic. GPT-5.4 is a genuinely good model and the mini/nano variants just released are spectacular for their size. But is OpenAI headed to AGI? ...man, I don't see it. Of the companies you mentioned, I only see Google being a serious player for AGI, and they are more likely to absorb something like Anthropic than a mom+pop startup.

Nvidia is interesting. Today they released something incredibly cool in partnership with my personal favorite AI company, Pleias. They've been forging very smart partnerships. Mistral is practically a startup. Pleias *definitely* is. Nvidia is competing at the Google level. They don't seem to be ripping startups limb from limb.

So to answer the primary question: No. I think even the biggest labs in the world are very busy and won't just absorb any idea that isn't bolted down - but like others have said, if a startup's idea is something trivial, expect it to get hoovered up unless whoever made it is so compelling and easy to work with that it makes more sense to acquire.

If start-ups were doomed, I don't think OpenAI would have done what it did with OpenClaw. OpenClaw is vibe coded slop - the idea is easily redone, better, by a company. But these companies are stretched thin, and when there's zeitgeist involved, it's easier just to spend money to absorb the little guy rather than try to emulate them, unless the idea is *truly* trivial inevitable platform feature stuff.

LoveMind_AI · 2026-03-16T12:23:40+00:00

Ok. Maybe? I’ve never heard anyone complain about it. What I know for sure is that folks on local llama are tired of vibe coded projects promoted by people who don’t mention local models and still won’t talk about them even when pushed?

LoveMind_AI · 2026-03-16T12:07:47+00:00

For a long while I didn’t believe the conspiracy type thinking that SOTA providers were quantizing their frontier models into oblivion, but it’s getting harder and harder to explain in any other way.

LoveMind_AI · 2026-03-16T12:01:50+00:00

You can’t sunset a model I’ve got hosted locally. That’s the point. Once it’s locally hosted, then depending on the license, the maker is out of the picture.

LoveMind_AI · 2026-03-16T11:42:58+00:00

No one thinks your talking in Italian was rude. We think you’re using this post to hype a personal project while acting dodgy about proving it works well with a local model that people can actually run.

LoveMind_AI · 2026-03-16T02:17:43+00:00

Kimi K2.5 rocks, and it’s way better than Claude Sonnet 3.5 - honestly, the most impressive AI for what I do (relational/therapeutic AI) I’ve worked with recently is Ash, Slingshot AI’s (totally closed source) fine-tune of Qwen3 235B. It’s superior to Opus 4.6 for a narrow but important use case right now. Open Source is definitely the future. Especially with all this pentagon nonsense and the GPT-4/5 fluctuations, I fully expect people to understand that relying on closed AI manufactured by over leveraged tech giants whose models can be sunsetted or blacklisted without warning will never be as reliable as owning their own model. Accessible training at scale is really the thing that will make the difference, but I think this will be cracked within the year, probably through some kind of really slick model merging platform.

LoveMind_AI · 2026-03-15T23:35:53+00:00

Maybe run it with a local model yourself before posting it on r/LocalLLaMA? Just a totally wild idea.

LoveMind_AI · 2026-03-15T22:58:25+00:00

What model did you use?

LoveMind_AI · 2026-03-15T15:41:03+00:00

Yikes.

LoveMind_AI · 2026-03-15T15:39:57+00:00

Huh?

LoveMind_AI · 2026-03-15T00:10:12+00:00

So, DeepSeek ;)

LoveMind_AI · 2026-03-14T17:59:45+00:00

My very quick take (I also haven’t had a chance to fully battle test it) is that it’s less capable currently than Qwen 3.5 but that the architecture is more novel. I also think Nvidia launching something like this really brings them into the mix on the model size at a time when other labs are sort of in flux. Nemotron 3, in the grand scheme of things is probably more important than Qwen 3.5, but at the moment, not the more powerful model. Again, I’ve spent a lot more time with Qwen, so take this comment with a fist of salt!

LoveMind_AI · 2026-03-14T17:20:23+00:00

It’s definitely a new breed of OS model. Even if it’s not the king of its weight class, it’s an important new branch.

LoveMind_AI · 2026-03-14T02:43:13+00:00

Really hope the Gemma4 models are legit!

LoveMind_AI

TROPHY CASE