edge-ai
A drone chose its own target in Zaporizhzhia and killed three News
The New York Times reports that a Russian drone that killed three civilians at a Zaporizhzhia gas station on July 6, 2026 selected its final target on its own using an onboard Nvidia Jetson Orin module, in what one analyst calls the first documented case of civilian deaths from a Russian drone with such a system.
Liquid Shipped a 2.6B Tool-Calling Model and Told You Not to Code With It News
Liquid AI released LFM2.5-2.6B, a small model whose stack is mostly cheap convolution layers with attention rationed to eight of thirty, built for tool use and long context - and whose own model card says not to use it for agentic coding or knowledge-heavy work.
An $8 Microcontroller Now Runs a 28.9-Million-Parameter Language Model News
A developer fit a 28.9-million-parameter model onto an ESP32-S3 with 512KB of fast memory by keeping most of the model in flash storage and reading only about 450 bytes of it per word generated.
Cactus Ships a Phone-Sized Model That Knows When to Ask the Cloud, With a TLS Footgun News
Cactus released a Gemma-4 model with a tiny probe that scores how likely its own answer is wrong and routes uncertain queries to the cloud, but the cloud path ships full conversations and disables TLS verification by default.
LFM2.5-2.6B Tool
Liquid AI's 2.7B tool-calling model with a 128k context, built as 22 short-convolution layers plus 8 grouped-query-attention layers so most token mixing stays local and cache-friendly. Post-trained inside real agent harnesses for tool use, extraction, retrieval and long-context workflows. The model card explicitly recommends against agentic coding and knowledge-heavy tasks, and it always enters a reasoning mode before answering.
Cosmos3-Edge Tool
NVIDIA's compact 4-billion-parameter physical-AI model generates text autoregressively while producing image, video, audio and action-trajectory outputs through a diffusion tower, sized for local robotics, autonomous-vehicle and smart-infrastructure workloads. NVIDIA warns it is not physically accurate simulation or safety-certified reasoning.
Cactus Hybrid (Gemma-4 E2B) Tool
A phone-sized Gemma-4 checkpoint with an attached error probe that scores how likely each answer is wrong and routes low-confidence queries to a cloud model; weights and runtime are public (set CACTUS_CLOUD_STRICT_SSL before using the cloud path).