Liquid AI Lands on Setapp While iOS Private Relay Leaks Real IPs
Liquid AI's 2.6B model ships via Setapp for offline Mac agents, while iCloud Private Relay leaks real IPs through passkeys in the same 24 hours.
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Liquid AI's 2.6B model ships via Setapp for offline Mac agents, while iCloud Private Relay leaks real IPs through passkeys in the same 24 hours.
Local embedding and reranking models for RAG, sized by VRAM. Real GGUF file sizes, licences, and the runtime gap that stops Ollama reranking.
Open image models sized for real GPUs, with the text encoder counted in and the licence checked. FLUX, Z-Image, Qwen-Image and SD3.5 compared.
Local AI on a 6GB GPU: GTX 1660, RTX 2060, RTX 3050 and laptop cards. Real weight sizes for chat, coding, vision, speech, translation and RAG.
Find your VRAM tier, then the current open-weight pick for chat, coding, vision, speech, translation or agents. Fourteen guides, one index.
Apple caps its on-device model at 4096 tokens per session, and Google's own tables put Gemma 4 E2B at 25.0 decode tokens/sec on an iPhone 17 Pro CPU.
Apple Silicon has no discrete VRAM, so tier guides mislead Mac owners. The real ceilings are bandwidth and the GPU-usable slice of unified memory.
Quantization formats compared with real file sizes and bits per weight. Why Q4 does not halve a model, and why low quants generate faster.
Alibaba announced 2.4T-parameter Qwen3.8-Max open weights and a 27B sibling that Unsloth says will run in 17GB of RAM or VRAM.
Moonshot released the full Kimi K3 weights on July 27, 2026: 2.8T params, 1M context, MXFP4. Read the license before you plan a deployment.
NVIDIA's Cosmos-H-Dreams runs at 160 fps on one RTX PRO 6000, with weights, code, dataset, and recipe open. Not a robot controller, NVIDIA warns.
Two back-to-back merges add MiniMax Sparse Attention and a Qwen2.5-VL style vision tower to llama.cpp, but every existing MiniMax-M3 GGUF must be regenerated.
Cisco released Antares-350M and Antares-1B open-weight models for vulnerability localization. They run locally and cost about 172x less than GPT-5.5.
Prince Canuma's open-source Nativ wraps MLX in a SwiftUI chat app with a localhost API for Claude Code, Codex, and other coding agents.
Backed by $400M, the nonprofit Current AI wants to build a free, public-interest AI stack modeled on the early Web. Here's who's funding it and what's shipping.
Two new open-weight models point in opposite directions: Bonsai brings a 27B model toward phones, while Inkling targets customization at data-center scale.
VIDRAFT_LAB posts Ourbox-35B-JGOS to Hugging Face: 20 tok/s on an 8GB laptop GPU, ~17 tok/s on a CPU-only server, 86.4% on GPQA Diamond.
PhantaField's Sophon PFG-1 whitepaper claims ~95x Nvidia HBM4 bandwidth via monolithic 3D stacking. No silicon yet. Here's why it matters anyway.
DeepSeek V4, Cohere Command A+, ZAYA1-8B, and NVIDIA Nemotron 3 mark the busiest month for open-weight AI ever.
Three weeks away and the leaderboard reshuffled. Kimi K2.6 brings 1T parameters under open weights, Qwen 3.6 stays the consumer GPU king, and DeepSeek V4-Flash proves too hungry for single-card setups.
GLM-5.1 becomes the first open-weight model to top SWE-Bench Pro. The gap between open and proprietary AI is now just three months.
DeepSeek returns with a 1.6T MoE monster under MIT license, Gemma 4's 31B dense model climbs to #3 on Arena AI, and ICLR 2026 papers point to what's next for local inference.
DeepSeek V4 Pro approaches frontier-level performance. Google, Mistral, and Alibaba ship under Apache 2.0. Ollama hits 52 million monthly downloads.
DeepSeek V4 matches Claude Opus on coding at 7x lower cost under MIT license. NVIDIA's Nemotron 3 brings hybrid Mamba-Transformer MoE to the open. Google's TurboQuant cuts KV cache memory by 6x with no retraining.