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#Product update

Items with an AI score under 20 are hidden. Show low-relevance items

Aug 26

Aug 26Wed

Aug 25

Aug 25Tue
  1. Andrew NgAI score46

    OpenWorker adds built-in security agents for code, dependencies, and cloud

    AIOpenWorker, an open source agent that completes tasks on a laptop, has released a new version with built-in cybersecurity agents. The agents scan code for vulnerabilities, scan dependencies for supply chain injections, and check cloud security configurations for attack surfaces. Users can run open weight models locally so sensitive code stays on their machine.

  2. Microsoft AI BlogAI score24

    Microsoft Marketplace adds intelligent discovery to help businesses find AI apps and agents

    AIMicrosoft Marketplace has made intelligent discovery generally available worldwide, letting customers describe business challenges in natural language and receive contextual recommendations and conversational comparisons. Early preview results show customers were 68% more likely to find solutions that met their needs and take the next step toward purchase.

Aug 24

Aug 24Mon
  1. Engineering at MetaAI score72

    Meta details MetaRoCE, an RDMA transport designed for AI-scale Ethernet

    AIMeta designed MetaRoCE, a clean-sheet RDMA transport for AI workloads on commodity Ethernet, and is releasing its specification, reference software and compliance test suite through the Open Compute Project. On a 64-node AMD GPU cluster running RCCL collectives, the post reports MetaRoCE delivering higher throughput and lower flow completion times than RoCEv2, with about 86% throughput maintained at 1% packet loss.

    Why it matters: The post explains how per-path endpoint intelligence replaces lossless fabric assumptions, with measured throughput and loss results against RoCEv2 on a 64-node AMD cluster.

Aug 22

Aug 22Sat

Aug 21

Aug 21Fri
  1. DeepSeekAI score42

    DeepSeek adds vision API support via deepseek-v4-flash-vision-exp model

    AIDeepSeek's API now accepts multimodal input through the model deepseek-v4-flash-vision-exp, supporting mixed text and image requests. Each image is billed at up to 384 tokens at V4-Flash pricing, and it works with Chat Completions, Messages, and Responses endpoints. Images can be supplied as base64, external URLs, or via the Files API.

Aug 20

Aug 20Thu
  1. Mistral AIAI score59

    Mistral Agentic Search adds multi-step retrieval for complex enterprise documents

    AIMistral has released Agentic Search, a multi-step retrieval layer available through its Search Toolkit and Libraries. On FinanceBench, the company reports accuracy rising from 26.7% to 86% over one-shot RAG, and on OfficeQA Pro a gain from 6.3% to 51.9%. The system also reports up to 39.6% lower p90 latency and up to one-third lower token use from fewer repeated searches.

Aug 19

Aug 19Wed
  1. Ali GhodsiAI score33

    Databricks launches AI Extract for accurate PDF field extraction

    AIDatabricks has launched AI Extract, a capability for extracting fields from PDFs that it says reaches 95% accuracy versus 87% for other tools, at very low cost. The post notes that LLMs' next-token training makes them "autocorrect" content they should preserve, which this approach is designed to avoid. The function can be called directly from SQL and used across the Databricks platform.

    Image from @alighodsi's post
  2. Liquid AI BlogAI score60

    Liquid AI releases DSpark draft models for LFM2.5, up to 3.2x faster inference

    AILiquid AI released DSpark speculative decoding draft models for LFM2.5-1.2B-Instruct, LFM2.5-2.6B, and LFM2.5-8B-A1B on Hugging Face. The draft models reach up to 3.18x throughput improvement on an H100 GPU and up to 2.87x on-device, and the outputs match baseline greedy decoding by construction. Support is available in llama.cpp and SGLang, with the speedup varying by model and dataset.

    Why it matters: The release reports measured speedups on both H100 and MacBook hardware, with per-dataset results and acceptance rates that show where speculative decoding helps most.

  3. Matei ZahariaAI score46

    Databricks' custom AI Extract model reaches new frontier in document processing

    AIDatabricks says its in-house AI Extract model, paired with a custom agent harness, achieves a new frontier on complex document processing tasks. The system handles documents over 500 pages and more than 1M tokens, plus nested schemas with 1k+ objects. It decomposes large jobs, runs smaller tasks in parallel, and reconciles them into one structured output.