They believed AI even when it was wrong…51.3% of participants in long-video tasks did not check the original
Using AI increased video-search productivity by 3–35%, but reduced accuracy by up to 32%.
Models, agents, applications: artificial intelligence put to work on real problems.
Here, artificial intelligence is judged on the evidence: what it does, for whom, at what cost. The section follows models and their measurable progress, agents doing real work, and above all deployments — a hospital screening more patients, a power grid better balanced, a public service answering faster. AI-as-spectacle, productless funding rounds and prophecy get no space.
We favour documented use cases with the numbers attached: how many examinations, what error rate, what savings. Non-Western players — Chinese, Indian, Emirati labs — are covered on the same footing as American ones, because much of the real deployment happens there. Every article cites its sources and separates the prototype from the service in production.
Using AI increased video-search productivity by 3–35%, but reduced accuracy by up to 32%.
The number of Qwen derivative models on Hugging Face Hub reached 151,448.
Meshy 7 measures how closely a generated 3D model matches its source image.
Cloudflare wants to let AI agents pay for paid APIs using a wallet.
- A charged fluoropolymer surface lets a robot detect nearby objects without physical contact.
Maintaining its 700-billion-parameter scale, GLM-5.3 relies primarily on post-training to improve coding and agent capabilities.
- Zhipu released GLM-5.3 hours after its chief scientist teased “sooooooon.”
HyperOS 4 is Xiaomi’s first AIOS, with Super XiaoAI able to call on the system, apps and devices.
- DeepSeek has open-sourced a developer preview of Harness under the MIT license.
Razorpay is testing ChatGPT-native storefronts with around 50 brands.
X Square Robot's public demonstration says its dual-arm robot sorted 1,816 randomly mixed packages in one hour.