Tencent Hunyuan released the Hy3 model. The system uses a 295 billion parameter mixture of experts design. Only 21 billion parameters activate during inference. This efficiency matches much larger models. Hy3 aims at agent workflows rather than general chat. It already runs inside WeChat for over one billion users. Release Details Meet Real Workloads The company tested Hy3 on more than fifty internal business tasks. Task success rose from 72 percent to 90 percent. Average tas

DeepSeek-V4 Flash completed its first verified reinforcement learning runs on AMD Instinct MI355X GPUs using the Miles framework. The 284 billion parameter mixture-of-experts model activates 13 billion parameters per token and finished more than 100 optimizer steps across four eight-GPU nodes. The test combined SGLang for rollout generation and Megatron for policy updates while Miles handled asynchronous loops and weight synchronization. Training and rollout log-probability d

Anthropic and AE Studio introduced a new technique called GRAM that adds removable modules inside large language models. The modules hold specific dual-use knowledge during training. Teams can delete the modules later to strip out those capabilities. GRAM stands for Gradient Routing Auxiliary Module. Engineers insert a small set of extra neurons at every transformer layer. During training the model learns to route topics such as virology, cybersecurity, nuclear physics, and s

Robbyant has released LingBot-VLA 2.0, an open source 6B parameter vision language action model built to control multiple robot platforms through one unified representation. The model uses a MoE action expert design on top of a Qwen3-VL-4B-Instruct backbone. It encodes robot states and actions as 55 dimensional normalized vectors. This approach allows the same weights to drive different robot bodies without separate fine tuning for each hardware type. Training data reached ab

A father created a simple communication tool for his non-verbal autistic son. He tested it in a speech therapy waiting room three weeks ago. Mothers of other non-verbal children started crying. The therapist cried for five minutes straight. That moment revealed clear product-market fit. The app targets children who struggle to understand language. It differs from traditional AAC devices built mainly for adults with physical limits but intact language skills. The demo that cha

Recent outages on Xbox Cloud Gaming and GeForce Now highlight the fragility of subscription-based cloud entertainment when infrastructure fails during peak hours.

Xiaomi set a new benchmark with its autonomous lap at the Nurburgring. The YU7 GT completed a full unmanned timed run in 10 minutes 29.483 seconds. This marked the first official autonomous entry on the track's leaderboard. The result came from months of track-specific data rather than added layers of agent logic. The lap exposed a key pattern in AI performance. Reliable output in difficult conditions depends on training that covers unusual situations. Xiaomi collected high-f

Humanize PPT v0.9 released an open source workflow that puts audience context ahead of slide visuals. The update processes outlines through abstract syntax tree logic, adds real preview pages, and folds speaker notes plus QA fixes into one flow. See the Humanize PPT v0.9 release notes and the AST logic documentation. Independent coverage in The Verge and a Bloomberg analysis noted the shift toward reusable meeting context over visual templates. Most AI deck tools still start

DeepSeek raised more than $7.4 billion in its first external round at a valuation above $50 billion. The company kept founder Liang Wenfeng in control through a limited-partnership structure. Investors accepted the terms because they see model cost compression as inevitable. The durable advantage now sits in the quality of work context that agents can reuse across meetings, documents, and prior decisions. Control structure changes investor expectations Liang Wenfeng retained

Physical AI robots attracted major funding in early 2026, but real-world deployments continue to expose large gaps between controlled lab demonstrations and unpredictable factory or home conditions.

Enterprise buyers now demand measurable proof of AI governance controls during procurement, shifting RFPs toward operational evidence and live demonstrations rather than policy promises.

Neuralink reported new human trial results for its brain implant this month. The device now supports longer sessions of direct neural control over external software. Patients completed tasks that previously required multiple manual steps. The move accelerates competition in bio-integrated AI. Several firms are racing to match signal stability and reduce surgical risk. Regulators in the United States and Europe have begun reviewing expanded safety data. Primary opponent pressu

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