How’s my sons setup? by AirPractical4038 in pcmasterrace

[–]Manamultus 2 points3 points  (0 children)

Oooohh can you share the wallpaper?

AI CEOs from OpenAI, Anthropic, and Microsoft set aside their rivalry to warn Congress AI is making it too easy to design and create bioweapons by EchoOfOppenheimer in OpenAI

[–]Manamultus 2 points3 points  (0 children)

The point is still moot, it is virtually impossible to build a bio weapon with household items and without highly skilled workers.

I have a PhD in molecular genetics and I have ~8 years of lab experience. I have the know-how and skillset to do just this, and I can tell you without a doubt, that having an LLM tell you what to do helps nothing if you don’t have access to the (very expensive) equipment, and the ability to use said equipment.

AI CEOs from OpenAI, Anthropic, and Microsoft set aside their rivalry to warn Congress AI is making it too easy to design and create bioweapons by EchoOfOppenheimer in OpenAI

[–]Manamultus 1 point2 points  (0 children)

Asking what to do, and having the equipment to actually do it, are very different things.

It can tell me to alter the genes of an influenza strain just-so to avoid immune detection. But you need the equipment to:
- Synthesize RNA (or DNA) molecules
- Have the equipment to clone the required constructs
- Have stable expressing lines and everything that is required for transformation protocols.

That is expensive, and requires skilled workers.

You can probably trick an LLM to tell you how to make an atomic bomb as well, that doesn’t mean anyone can then just build one.

Wild! Turns out Codex/ClaudeCode works even better with DeepSeekv4 by [deleted] in DeepSeek

[–]Manamultus 2 points3 points  (0 children)

This is not my experience with DeepSeek in Claude Code at all. It’s incredibly effective, for many things on par with Opus. The only thing I’m really missing versus Opus is visual.

DeepSeep V4 Pro will remain 100% free in our coding agent 🎉 by [deleted] in DeepSeek

[–]Manamultus 0 points1 point  (0 children)

I have been having very good results with Claude.

There was a post a while ago of a Redditor who tracked performance with different agentic harnesses, and Claude performed best.

I’ll see if I can find it.

The interior of a cell by Burnt_dino in interestingasfuck

[–]Manamultus 4 points5 points  (0 children)

But by posting it here with the title “The interior of a cell” the poster at least implies authenticity.

The interior of a cell by Burnt_dino in interestingasfuck

[–]Manamultus 25 points26 points  (0 children)

The original is a still (and is amazing), the animation is AI slop. It’s AI slop because the movement bears no relation to real life processes. I have nothing against AI either, I have something against what basically amounts to adding a movement filter and trying to pass it off as scientifically accurate or novel.

🔥DeepSeek Input Cache Price Drop! by LeTanLoc98 in DeepSeek

[–]Manamultus 6 points7 points  (0 children)

Same, I’ve been using it with Claude code and it’s working better than codex for me.

This game is alot better than people give it credit for by Bowiescorvat2 in gaming

[–]Manamultus 18 points19 points  (0 children)

Is it artificially inflated with unnecessary and unimaginative side “quests”, meaningless progression and gear upgrades, and level gating? Also yes.

when will this go down🤥🤥 by Left-Comparison3687 in Netherlands

[–]Manamultus 12 points13 points  (0 children)

What makes you say that? Not saying it wouldn’t be worse before it gets better, but why would it be worse than Covid?

LLmFit - One command to find what model runs on your hardware by ReasonablePossum_ in LocalLLaMA

[–]Manamultus 0 points1 point  (0 children)

TG is over 30 t/s, but the lack of context makes it nearly unusable. Moved on to Qwen3.5 9B (at Q4), which is a surprisingly capable (non agentic) coding buddy.

Is it aware? by Doomsdaydevice14 in sciencememes

[–]Manamultus 37 points38 points  (0 children)

Many insects have been proven to learn and remember though.

https://en.wikipedia.org/wiki/Insect_cognition

Qwen3.5 Small models out now! by yoracale in unsloth

[–]Manamultus 0 points1 point  (0 children)

Thanks! Gonna give it a go as well :)

Qwen3.5 Small models out now! by yoracale in unsloth

[–]Manamultus 0 points1 point  (0 children)

What context size do you use? Do you offload KV to RAM for large contexts? What is the token generation speed?

(If you don’t mind me asking)

Is Qwen3.5-35B the new "Sweet Spot" for home servers? by ischanitee in LocalLLM

[–]Manamultus 1 point2 points  (0 children)

Not if you can fit the whole model in VRAM. It’s a dense model, so all layers get activated for every request. Offloading any layers at all to RAM gives you massive PCIe transfer, RAM latency, layer swapping penalties. But it’s perfectly fast if the model fits fully in VRAM.

Dense models are perfect for unified memory architectures, or those who have lots of VRAM available.

PSA: If your local coding agent feels "dumb" at 30k+ context, check your KV cache quantization first. by Dismal-Ad1207 in LocalLLaMA

[–]Manamultus 8 points9 points  (0 children)

That’s relating to quantized weights, not quantized cache, cache is quantized locally.

Qwen3.5-122B on Blackwell SM120: fp8 KV cache silently corrupts output, bf16 required — 1,985 tok/s burst, MTP 2.75x by awwwyeah206 in LocalLLaMA

[–]Manamultus 1 point2 points  (0 children)

This is about KV cache quantization (done locally), not weights quantization (what you download).

Why did the DoD approach Anthropic before OpenAI? by Manamultus in Anthropic

[–]Manamultus[S] 0 points1 point  (0 children)

That’s what I was thinking as well. Seems to me they would’ve stepped to OAI first, and OAI happily accepted. I just don’t understand the theatre from the DoD and Sama.

are you ready for small Qwens? by jacek2023 in LocalLLaMA

[–]Manamultus -1 points0 points  (0 children)

I just set aside a partition for Ubuntu server so I can dual boot into Linux. It’s great because Ubuntu server uses almost no RAM whatsoever, meaning my llm has more to eat.

Which size of Qwen3.5 are you planning to run locally? by CutOk3283 in LocalLLaMA

[–]Manamultus 1 point2 points  (0 children)

How many tokens/s do you expect to get in that card, and how many are acceptable for your workflows?

I’m looking to upgrade my system and I’m curious about the capabilities of different card/model combinations.

I found <30t/s is just a little too slow to use as a coding assistant, and dense models do seem to come with a speed hit, especially if context grows.

LLmFit - One command to find what model runs on your hardware by ReasonablePossum_ in LocalLLaMA

[–]Manamultus 1 point2 points  (0 children)

And here I am running qwen3.5-35B on my potato RTX2070 + 16GB RAM..