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Vibe Coding2026-09-24 · source-backed
pip install google-antigravity litert-lm plus a LiteRTAgentConfig, running through LiteRT-LM. Google recommends more than 24GB of VRAM or unified memory (Google Developers). Fully offline agents on a Mac with enough unified memory is a real option now, and the 24GB floor puts it in reach of hardware plenty of people already own.
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Google's HF org lists diffusiongemma-26B-A4B-it (~4B active), an image-text-to-text Gemma member that's diffusion-style rather than purely autoregressive (Hugging Face). No detailed announcement yet, which is why I'm flagging it low. But a diffusion approach inside the Gemma o...
Google DeepMind released Gemma 4 on April 2 with four model sizes (E2B, E4B, 26B MoE, 31B Dense) under Apache 2.0. Multimodal (text, vision, audio). 256K context. Native thinking and tool-calling optimized for agentic workflows. Day-zero ecosystem support across vLLM, llama.cp...
Google released Gemma 4 12B June 3 under clean Apache 2.0, native multimodality, up to 256K context on larger variants, with the 31B reportedly at 85.2% MMLU Pro. Two days later came QAT versions optimized for mobile and laptop hardware. The 12B size targets the single-GPU swe...
Gemma 4 12B dropped June 3, and the spec sheet is the kind of thing I read twice to make sure I wasn't misreading it. 11.95 billion params, Apache 2.0, reads text, image, audio, and video. No separate vision encoder. No separate audio encoder. The model handles all of it nativ...
On June 16–17, Google extended its A2A interoperability push with a standard for how agents discover available resources and tools, the same week Microsoft's Work IQ went GA with A2A plus remote MCP. It's a multi-vendor race to standardize the plumbing. Design against the inte...
Amid a week of pricing and commerce stories, here's hard tech you can actually download. Google released DiffusionGemma on June 10, a 26B-parameter Mixture-of-Experts model (3.8B active) that generates text by diffusion instead of left-to-right decoding. The architecture is th...
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