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Security2026-08-14 · source-backed
arXiv 2608.12789 treats what lands in context from tools, pages and environments as the thing to secure, attaching provenance and priors rather than asking the model to spot attacks. Across three VitaBench and three AgentDyn splits with Gemma 4 31B IT, benign utility actually improved (92.5% with PIPES vs 90.6% undefended). The pattern that keeps winning: enforce outside the model, because a defense the model has to reason about is a defense an attacker can argue with.
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State-corruption attacks work because attacker-controlled data makes false claims about the environment that slip past injection filters, since the text reads like an ordinary tool result. PIPES screens each response unit two ways: static field contracts where a schema gives s...
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...
Google DeepMind shipped Quantization-Aware Training checkpoints for every Gemma 4 size, and the headline number is genuinely useful: the smallest model goes from 11.4GB to 1.1GB. That's 0.84GB if you go text-only. Up to ~72% lower VRAM and 2x faster inference on mobile NPUs, w...
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...
Hugging Face published its Summer 2026 State of Open Models report on August 14, and one statistic in it went almost entirely unremarked in the coverage. By July 2026, agents rather than humans became the Hub's primary users. Claude Code alone accounted for 44.4% of all agent...
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...
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