SevenTnewS

Local AI

6 published articles

NVIDIA Research4 min read

AI Models | NVIDIA Nemotron 3.5 Lightning

Why Nemotron 3.5 Lightning bets most agent steps don't need a big model

Nvidia's new open model runs locally with 3B active parameters and a 1M-token context, built for agents that stay running. Nvidia claims up to 4x throughput and 30% faster task completion than comparable open models.

2026-08-14

Open SourceFeatured2 min read

Code release

xAI just gave away the code that runs Grok Build

xAI open-sourced Grok Build, its terminal-native coding agent. The code includes the agent loop, tool system, TUI, and extension framework. Developers can compile it themselves and run it fully local with their own inference backend.

2026-07-19

AIFeatured5 min read

local ai

The uncensored model paradox: one knob removes both the annoying refusals and the safety guardrail

Benchmarking five locally run uncensored LLMs shows abliteration cuts over-refusal from 44% to near zero with no hit to reasoning, but the same edit collapses safety refusals from 41.5% to 9.5%, because both ride on the same internal direction. The real reason to run uncensored may not be what you think.

2026-07-19

FundraisingFeatured4 min read

Funding round

Ollama raised $88 million to make open models boring. That is the whole point.

Ollama raised $88 million from Benchmark and Docker founder Solomon Hykes to scale its open-model platform, now used by 8.9 million developers and 85% of the Fortune 500. The bet: make local AI ownership as boringly easy as Docker made containers.

2026-07-09

Tools & FrameworksFeatured3 min read

Local AI

Ollama 0.30 just made local AI cheaper than cloud inference for more people

Ollama 0.30 boosts NVIDIA inference by up to 20%, enables Vulkan GPU support by default for AMD and Intel devices, and expands GGUF model compatibility, including fine-tuned models from Hugging Face and support for tool-calling with coding agents.

2026-06-05

LLMs & Models4 min read

Open-source framework

Stanford just made local AI agents work, and made the cloud look optional

OpenJarvis 1.0 from Stanford's Hazy Research and Scaling Intelligence labs runs personal AI agents locally via Ollama, with cloud access as an optional add-on. It ships with presets for morning briefings, cross-document research, and local code assistants, all while tracking energy cost and latency beside accuracy.

2026-05-28