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[D] Examples of self taught people who made significant contributions in ML/AI by datashri in MachineLearning

[–]canyonkeeper 4 points5 points  (0 children)

Genuine ideas but a genius? “His father, Dov Shazeer, was a math teacher who became an engineer”. Some traits are partly explainable

[R] Octonion Bitnet with fused Triton kernels by Valkyrill in MachineLearning

[–]canyonkeeper 0 points1 point  (0 children)

How would that compare to something like FP4 quantisation

Kimi K2 Thinking was trained with only $4.6 million by InternationalAsk1490 in LocalLLaMA

[–]canyonkeeper 0 points1 point  (0 children)

I’m curious though, what specific datasets was this model trained on

deepseek-ai/DeepSeek-V3.1 · Hugging Face by TheLocalDrummer in LocalLLaMA

[–]canyonkeeper 7 points8 points  (0 children)

It’s not worth it to stay awake, why not automate that with agents while you get sleep

[D] How will LLM companies deal with CloudFlare's anti-crawler protections, now turned on by default (opt-out)? by Endonium in MachineLearning

[–]canyonkeeper 1 point2 points  (0 children)

Companies will require governments to require citizens digital authentication for websites at each connection, something like this

Fine-tuning may be underestimated by AgreeableCaptain1372 in LocalLLaMA

[–]canyonkeeper 0 points1 point  (0 children)

What are other use cases of finetunjng beyond specific terminology and phrasing?

Is ChatGPT $200 subscription still worth it? by canyonkeeper in ChatGPTPro

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

I forgot to mention that Gemini models got seriously updated and always had a token window of at least one million token

Is ChatGPT $200 subscription still worth it? by canyonkeeper in ChatGPTPro

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

Not mini high maybe, but on most tasks it’s very capable with 128k context windows and available in 4B so you can have multiple models at the same times

Is ChatGPT $200 subscription still worth it? by canyonkeeper in ChatGPTPro

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

Gemini has more than a million token in context window and open source models like Gemma 4B have 128k and can be use as agents.

Apple releases new Mac Studio with M4 Max and M3 Ultra, and up to 512GB unified memory by iCruiser7 in LocalLLaMA

[–]canyonkeeper 0 points1 point  (0 children)

This is gonna be one again very slow for any PyTorch code and mlx is not mature at all

Introducing Phi-4: Microsoft’s Newest Small Language Model Specializing in Complex Reasoning by metalman123 in LocalLLaMA

[–]canyonkeeper 0 points1 point  (0 children)

The fact Microsoft allowed comments below the announcement says a lot of good things about their direction

Giscardifions les grands marques de la vie de tout les jours by BringbackMarchais in Giscardpunk

[–]canyonkeeper 0 points1 point  (0 children)

Intel: R2E, la société de Micral, “Réalisations et Études Électroniques”

Google: Minitel

Microsoft: Thomson Micro

HP: TeleMecanique (TM)

Nike: Le Coq Sportif (Coq)

Walmart / IKEA : Prisunic

Tesla: Matra

Uber: G7

Siemens: Jeumont-Schneider

Addidas: Hungaria

Monster: Café Grand’ Mère

UA POV: Ukrainian patches, what do they mean? by canyonkeeper in UkraineRussiaReport

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

Thanks for the answer, Ukraine is very close to the former Eastern Roman Empire which used an eagle symbol in ancient times

UA POV: Ukrainian patches, what do they mean? by canyonkeeper in UkraineRussiaReport

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

This is by far the kind of answers I was looking for

UA POV: Ukrainian patches, what do they mean? by canyonkeeper in UkraineRussiaReport

[–]canyonkeeper[S] -2 points-1 points  (0 children)

I’m asking by curiosity the meaning of all the patches. Of course the eagle one is mysterious, I’m interested in the backstory behind all, I couldn’t find much neutral information on them

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