Muse Glimmer 30B fits into 24 GB VRAM
Muse Glimmer 30B brings open-weight local coding agents to 24 GB VRAM. Apache 2.0, 131k context, 17 GB quantization for practical local coding.
ai-modelscoding-agentslocal-ai
Latest trends, breakthroughs, and insights from the world of artificial intelligence
Muse Glimmer 30B brings open-weight local coding agents to 24 GB VRAM. Apache 2.0, 131k context, 17 GB quantization for practical local coding.
ai-modelscoding-agentslocal-ai
I break down LTX-2.5 from Lightricks: open weights, synced video+audio, multishot, up to 4K HDR at 50FPS. No contrived comparisons with Sora, Veo, or Runway.
video-generationopen-weightsltx-2-5
Exploring Hetzner GPUs for open-source models: GEX44, GEX131, pricing, VRAM, and why the supposedly free test may require a €25 balance top-up.
hetznergpuopen-source-ai
I analyze how GPT models are connected to Claude Code via an Anthropic-compatible proxy and why subagents, tools, and streaming issues surface most often.
claude-codegpt-modelsllm-proxy
NVIDIA released Nemotron 3.5 Lightning: 30B MoE with 3B active parameters, up to 4x inference speed, focused on long-running agent execution without magic.
nvidianemotronagentic-ai
A no-hype breakdown of EEG speech decoding: why noisy signals, poor cross-patient accuracy, and multimodal workarounds matter more than flashy BCI demos.
EEGBCIspeech-decoding
AI tracks hold a significant share of Ukraine's YouTube and streaming charts. I analyze the 2025 data and the engineering implications without panic.
ai-musicmusic-industryukraine
Suno adds hidden audio watermarks and fingerprints to AI tracks. Why labels, platforms, and charts need this, and why metadata isn't enough.
AI musicwatermarkingSuno
I examine a curated list of gadgets for vibe coding: which hardware specs really matter for AI-assisted development, and where the hype begins.
vibe-codingai-assisted-developmenthardware
Case study: Inflect-Nano-v2 TTS, a 3.97M parameter model at 24 kHz, was successfully squeezed onto ESP32 achieving nearly 2x real-time performance for edge TTS.
ttsesp32edge-ai
Discover why Codex’s excessive caution slows down creative tasks but makes it a powerhouse for coding, research, and autonomous agent workflows.
codexai-agentsmodel-behavior
Meta released Muse Glimmer, a dense 30B parameter open-weight model under Apache 2.0. I examine where this release truly reshapes the landscape for local agents.
metaopen-weightslocal-agents