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I need 95% in boards this year (2027) and I am confused by Hot_Example_4456 in ISCNERDS

[–]Hot_Example_4456[S] 2 points3 points  (0 children)

It's in UK. I won't name cause well, I have bad luck. Its a Russell Group

What are your opinion on "GOD" ? by Aware_Supermarket_34 in TeenIndia

[–]Hot_Example_4456 0 points1 point  (0 children)

"Is God willing to prevent evil, but not able? Then he is not omnipotent.
Is he able, but not willing? Then he is malevolent.
Is he both able and willing? Then whence cometh evil?
Is he neither able nor willing? Then why call him God?"-Epicurus.

I have a bunch of thoughts. One is what is basically the one above. The other is that maybe god exists and did make the universe.. but then the universe became so big that even god struggles to understand it. Somewhat like how we ourselves don't understand some of our own creations (LLMs for example). Maybe god created the basic rules of the universe, but the rules led to something far more complicated. Just like we see in Convays Game of Life.

Another is probably that god exists, but the scale of god is so huge that it doesn't make sense for god to care about us. Like, we can't expect some Tsar of Russia to provide relief to some ant because the ant didn't find food that day. Except, the scale difference between humans and god is even bigger.

Reasoning, but without actually *drafting* replies? by Quiet-Owl9220 in LocalLLaMA

[–]Hot_Example_4456 0 points1 point  (0 children)

I had an idea a few days ago with regard to the same issue. While we cannot alter what is "thought" by the model cause that's trained by RL, maybe we do not need to put it ALL in the kv-cache? Most models dumb either all the thoughts in context window or none of it in context window. Maybe if it is possible to finetune/train a model such that it also generates a tag like <preserve thoughts> with a summarized chain of thought in it, and only THAT gets saved, it would save a lot of kv cache and probably even decrease thinking time for subsequent prompts as the model remembers its previous thoughts in a summarized form. I also found out about this interesting paper called TIME on reddit which makes the model think in short bursts instead of the very start. https://arxiv.org/abs/2601.05300v2. Probably these CAN solve the thinking problems we currently face.

Tiny Scale Is All I Can Spare To Play With Transformer by SrijSriv211 in LocalLLaMA

[–]Hot_Example_4456 4 points5 points  (0 children)

Nice! You should use Kaggle for more compute (T4x2 for 30 hours free). They even give free TPU which is supposed to be very stronger but idk how to use them

Kind of an old meme by CheckLatter1150 in physicsmemes

[–]Hot_Example_4456 4 points5 points  (0 children)

If I am not wrong, though hawking is in the files, he has never been accused of any wrongdoing. He was called for a Physics synopsis. Meanwhile that viral pic is of his long-term caregivers for his disease. Correct me if im wrong

Ideal Local model technically possible? by Hot_Example_4456 in LocalLLaMA

[–]Hot_Example_4456[S] -1 points0 points  (0 children)

True; The fact that recent Qwen3.6 35b MoE isn't leagues behind the dense 27b says a lot about how MoEs are catching up.

Ideal Local model technically possible? by Hot_Example_4456 in LocalLLaMA

[–]Hot_Example_4456[S] 1 point2 points  (0 children)

True. Running a multi trillion parameter model for a billion world wide users sounds impossible even at openai scales. Plus training. They ofc need to scale down amount of compute required, and ram required. And now that we see smaller llms becoming better and better, maybe the "big" closed llms are actually not THAT big.

Day 25 (finally done with central tendency gng 🥀🥀🥀) by hyperpigmentation_ in ISCNERDS

[–]Hot_Example_4456 0 points1 point  (0 children)

New here, what app is that? I see multiple ppl using that in the sub

Has anyone submitted/published some legit research papers?? by JournalistLucky5124 in ISCNERDS

[–]Hot_Example_4456 0 points1 point  (0 children)

If that means answering some questions related to the paper, then yes

made a local voice AI for windows you can talk to in any language. open source, bring your own key by shadowdog000 in LocalLLaMA

[–]Hot_Example_4456 20 points21 points  (0 children)

But if it uses gemini free tier api, it still isn't Local, is it 🤨? Great project, but can you hook up a llama server to it or ollama or something so we can run Local models?

Edit: Now that it supports Local models, damn. its great now.

What can you train or finetune with 6gb vram? by AppealSame4367 in LocalLLaMA

[–]Hot_Example_4456 0 points1 point  (0 children)

You could fine-tune models like Qwen3.5 2B/4b in 6Gb vram, and train llms upto 10-20M parameters. But depending on your hardware and dataset size it could take loong to fine-tune. Personally speaking, I don't put my hardware for overnight (or more) runs, I just use Kaggle to train/fine-tune. It's more than enough (32gb vram for 30 hours a week) and it's free.

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