AI (Artificial Intelligence Research)

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I bet everything on eight weeks: solo #1 on MTEB English v2

 ⚔️Adversarial ML  Content type: Blog
sentimark.ai··Hacker News

Introducing North Mini Code: Cohere’s First Model For Developers

 ⚔️Adversarial ML  Content type: Blog  3 sources covering this post
huggingface.co··Hacker News·Cited by 3 articles

I Built a Gemma 4 Course in 10 Minutes Using AI — Here's Exactly How

 🤖Machine Learning  Content type: News  Content type: Blog
ilite.substack.com··Substack

Tejas-TA/predikit: The missing bridge between your ML models and your AI agents.

 🤖Machine Learning  Content type: Code
github.com··Hacker News

Hacker News Trends: Search Hacker News super fast with Redis

 📊Observability
hackernewstrends.com··Hacker News

defai-digital/ax-engine: Apple Silicon LLM runtime supporting Gemma 4 and Qwen 3.6 MTP modes

 🤖Machine Learning  Content type: Code
github.com··Hacker News

Release TorchCodec 0.14: HDR Video Decoding for CPU & CUDA, and Fast Wav Decoder · meta-pytorch/torchcodec

 🤖Machine Learning  Content type: Code
github.com··Hacker News

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

 🤖Machine Learning  Content type: Code
github.com··Hacker News, r/LLM

Show HN: Magenta Real-Time Music Generation on iPhone, Without the GPU

 🤖Machine Learning  Content type: Code
github.com··Hacker News

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

 🤖Machine Learning  Content type: Code
github.com··Hacker News

Releases · youssofal/MTPLX

 🤖Machine Learning  Content type: Code
github.com··Hacker News

Forgis-Labs/HEPA: HEPA: Self-supervised horizon-conditioned event predictive architecture for time series. Spotlight at FMSD @ ICML 2026.

 🤖Machine Learning  Content type: Code
github.com··Hacker News

apple/coreai-models: Model export recipes, Python primitives, and Swift runtime utilities for on-device AI

 🤖Machine Learning  Content type: Code
github.com··Hacker News·Cited by 1 article

princezuda/-RequiemGPT-: Fully open source and open weights built and trained by fable five with one prompt. An experience in how AI actually works

 🤖Machine Learning  Content type: Code
github.com··Hacker News

snuri00/osint-mcp: Self-hosted OSINT toolkit — MCP server, AI REPL, CLI, web app & chat apps (WhatsApp/Telegram/Discord via OpenClaw). Entity, event/news & social/community intelligence. Keyless-first.

 🤖Machine Learning  Content type: Code
github.com··Hacker News

ApodexAI/AgentHarness: Evaluation harness for Apodex-1.0 on public deep-research benchmarks.

 📊Observability  Content type: Code
github.com··Hacker News

linzhiqiu/t2v_metrics: Evaluating text-to-image/video/3D models with VQAScore

 🤖Machine Learning  Content type: Code
github.com··Hacker News

Google's new open-weights model brings image-generation tricks to AI text generation

 ⚔️Adversarial ML  Content type: News
theregister.com··Hacker News

DiffusionGemma: The Developer Guide

 🔍Vector Databases  Content type: Blog
developers.googleblog.com··Hacker News·Cited by 1 article

patriceckhart/zot: Yet another coding agent harness, lightweight and written in go.

 🔒Security  Content type: Code
github.com··Hacker News

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