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The Accidental Geometry: What “Attention Is All You Need” Discovered Without Knowing It
Media

The Accidental Geometry: What “Attention Is All You Need” Discovered Without Knowing It

by Supat Charoensappuech — By Supat Charoensappuech, in collaboration with Claude Sonnet 4.6 (in normal mode, 14/5/2026)

Medium faviconMedium·
Related Anthropic Sonnet 4.6 Claude
Discussions

Built a fully offline suitcase robot around a Jetson Orin NX SUPER 16GB. Gemma 4 E4B, ~200ms cached TTFT, 30+ sensors, no WiFi/BT/cellular. He has opinions.

Sparky runs entirely on the Jetson. Gemma 4 E4B at Q4_K_M via llama.cpp with q8_0 KV cache and flash attention. 12K context, native system role, sampler defaults from the model card. Cached TTFT...

r/LocalLLaMA faviconr/LocalLLaMA·
RelatedGoogleMetaMetaLlamaGemma 4
Discussions

Position paper: using hallucination as a construction instrument to distill task-specific cognitive kernels from frontier models [D]

Background: I am a software developer, not an ML researcher. This started from a practical question — why do AI coding tools send proprietary client code to remote servers when the task only requires...

r/MachineLearning faviconr/MachineLearning·
Media

Osaurus brings both local and cloud AI models to your Mac

Osaurus combines local and cloud AI models in a Mac app that keeps users’ memory, files, and tools on their own hardware.

TechCrunch AI faviconTechCrunch AI·
Related Claude
Discussions

Chatbotapp AI and the Truth About Using Multiple AI Models

I’ve realized lately that relying on a single AI model just doesn’t make much sense anymore. Some tasks feel better on ChatGPT, certain research or reasoning tasks work better on other models, and...

r/artificial faviconr/artificial·
Related OpenAI ChatGPT
Supertone Releases Supertonic v3: On-Device Text-to-Speech Model with 31-Language Support, Fewer Reading Failures, and Expression Tags
Research

Supertone Releases Supertonic v3: On-Device Text-to-Speech Model with 31-Language Support, Fewer Reading Failures, and Expression Tags

The Seoul-based speech AI company ships its third generation of its on-device TTS engine, adding expressive tags, improved reading stability, and a 6× increase in language coverage — all while...

Marktechpost faviconMarktechpost·
Gradient Descent For Logistic and Linear Regression
Media

Gradient Descent For Logistic and Linear Regression

by Utsav Poudel — We know that the cost function helps us to measure how wrong our model’s predictions are compared to the actual values. We can reduce this…

Medium faviconMedium·
Discussions

Musk talks about new Grok 1.5T model

r/accelerate faviconr/accelerate·
Related GrokElon MuskElon Musk
Discussions

SupraLabs - real open-source AI models for you!

https://preview.redd.it/k6lub2ypva1h1.png?width=1500&format=png&auto=webp&s=cd44452c86b5216fec17113a72f43bbf169edafb Hey r/LocalLLaMA ! We founded SupraLabs, and it's huge! What we do? We train,...

r/LocalLLaMA faviconr/LocalLLaMA·
Discussions

ByteDance-Seed/Cola-DLM · Hugging Face

Cola DLM (Continuous Latent Diffusion Language Model) is a hierarchical continuous latent-space diffusion language model. It combines a Text VAE with a block-causal Diffusion Transformer (DiT) prior:...

r/LocalLLaMA faviconr/LocalLLaMA·
RelatedHugging Face BlockByteDanceByteDance Hugging Face
Discussions

internlm/Intern-S2-Preview · Hugging Face

Introduction We introduce Intern-S2-Preview, an efficient 35B scientific multimodal foundation model. Beyond conventional parameter and data scaling, Intern-S2-Preview explores task scaling:...

r/LocalLLaMA faviconr/LocalLLaMA·
RelatedHugging Face Hugging Face
Discussions

Used over a million tokens in three separate sessions to test Qwen 3.6 35b (new Multi-token Prediction version)

In my opinion, MTP models are 100% game changer for local LLMs. In terms of speed, I was getting around 1.5x the tok/sec of previous tests. The project was a test - building a full iterative...

r/LocalLLaMA faviconr/LocalLLaMA·
Related Alibaba CloudQwen
The hidden risk of high Accuracy in healthcare Machine Learning
Media

The hidden risk of high Accuracy in healthcare Machine Learning

by Carlospenalverperez — A practical reflection from a Data Science project using public clinical datasets, preprocessing techniques and Machine Learning models.

Medium faviconMedium·
Media

Runway started by helping filmmakers. Now it wants to beat Google at AI.

AI video generation startup Runway is betting that video generation is the path to world models. And that being an AI outsider is an advantage, not a liability.

TechCrunch AI faviconTechCrunch AI·
RelatedGoogleRunwayRunwayRunway
Discussions

Evaluated a RAG chatbot and the most expensive model was the worst performer. Notes on what actually moved the needle.

We had a customer support RAG bot. Standard setup: ChromaDB, system prompt, an LLM doing generation. Nobody had actually measured the response quality. In the name of evaluation, I only had a keyword...

r/LocalLLaMA faviconr/LocalLLaMA·
Discussions

Does anyone know any ready-to-go Emotion Cause Extraction (ECE) model? [R]

Hi everyone, I am currently looking for a Emotion Cause Extraction (ECE) model that is ready to go which means that I can download the model and run it immediately on text.

r/MachineLearning faviconr/MachineLearning·
Discussions

Neural networks are mapping the structure of reality itself

Researchers found evidence that AI models don't store concepts as abstract data but they store them as shapes. Months form a circle. Colors form a sphere. Geography forms a map. The structure of...

r/accelerate faviconr/accelerate·
How to Build a Django-Unfold Admin Dashboard with Custom Models, Filters, Actions, and KPIs
Research

How to Build a Django-Unfold Admin Dashboard with Custom Models, Filters, Actions, and KPIs

In this tutorial, we build an advanced Django-Unfold admin dashboard. We start by installing Django, Django-Unfold, and the required dependencies, then we create a fresh Django project with a shop...

Marktechpost faviconMarktechpost·

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