The startup's platform predicts which product a shopper wants next, learns their general taste, and fine-tunes continuously based on what they do in real time.
This is a summary curated by AIFuture. Read the complete article at the original source:
Read the full story on TechCrunchMicrosoft has open sourced code-testing-generator, a polyglot unit-test agent shipping in the MIT-licensed dotnet/skills repository. It reads a repository before writing anything — detecting the language, test framework, existing conventions, and the real build and test commands — then plans, writes, runs and validates the tests it produces. On Microsoft's internal 152-task benchmark it completed…
Aug 7, 2026
Liquid AI released LFM2.5-2.6B, an agentic model that plans, calls tools, and completes multi-step tasks entirely on-device. The 2.69B parameter model pairs 22 double-gated short convolution blocks with 8 GQA blocks across 30 layers, handles 131,072 tokens of context, and decodes at 220 tokens/s on an M5 Max in under 2.5 GB. Open weights ship in GGUF, MLX, and ONNX. The post Liquid AI Releases…
Aug 7, 2026
Additional details about OpenAI's mysterious new AI device make it sound like a pricey smart speaker.
Aug 6, 2026
Harvard's deep dive into the algorithms behind modern AI — search, knowledge, optimization, and machine learning.
Andrew Ng explains how generative AI works and how to apply it in your work and life — no coding required.
Five-course series on neural networks, CNNs, sequence models, and transformers from DeepLearning.AI.
Get the most important AI news and course picks in your inbox.