Reflection AI’s first model, Beam, is a 501-billion-parameter mixture-of-experts model with 23 billion active parameters and Apache 2.0 weights due this month. We count its wins and losses against seven open rivals in Reflection’s own table, unpack the 3-4x compute claim, and work out what it takes to run.
Apodex released a 35B open-weight sibling to its 397B flagship, plus FrontierAgent, an Apache 2.0 agent runtime with ReAct and Agent Team modes. We work from the Hugging Face config, the GitHub repository and the arXiv report rather than the announcement — including the real parameter count, which benchmark scores belong to which model, and why the quantised builds are outrunning the originals.
Tencent open-sourced Hy4 preview on 28 August 2026 under Apache 2.0: a 770B Mixture-of-Experts model that activates just 49B parameters per token and reads a one-million-token context window. This breakdown covers the full architecture, from 256 routed experts per layer to Gated DeepSeek Sparse Attention and the built-in speculative decoding layer; every benchmark figure Tencent published, including the 163-expert blind evaluation against GLM 5.3 and Kimi K3; the API price list against GPT-5.6 Sol; the eight-GPU serving recipes; and the four caveats worth naming before any of it reaches production.
Hugging Face and its Pollen Robotics subsidiary opened pre-orders on 27 August 2026 for Microduck, a 25 cm bipedal robot duck priced at $399 before taxes and shipping, with first deliveries targeted before Christmas 2026. The machine carries 15 motors, a wide-angle camera, an 8×8 time-of-flight LiDAR array, two IMUs and an articulated beak that works as a gripper, on a Rockchip RK3566 with 1 GB of RAM and 32 GB of storage running its neural policy at 50 Hz. Seven behaviours ship on the device — walking, rolling on skates, grasping, kicking, standing up after a fall, sitting and a generated audio identity — and every one was trained in MuJoCo with proximal policy optimisation and transferred to hardware. The control stack and the full training pipeline are published under Apache 2.0, but the hardware is not open and Pollen Robotics says it has no plans to change that. This breakdown covers the pack pricing, the complete published specification, the Open Duck Mini project the design grew out of, how it compares with the Reachy Mini line, and the battery, payload and compute ceilings that decide who should actually buy one.
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