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Latest articles, page 39

  1. Direct Preference Optimization (DPO): Mathematical Foundations, Implicit Reward Derivation, Closed-Form Bradley-Terry Equivalence, and Reference Policy Regularization

    Direct Preference Optimization (DPO): Mathematical Foundations, Implicit Reward Derivation, Closed-Form Bradley-Terry Equivalence, and Reference Policy Regularization Post-training preference alignment is the central mechanism for transforming pretrained base large language models into instruction-following, steerable, and safe conversational agents. Historically, the dominant paradigm for preference alignment has been Reinforcement Learning from Human Feedback (Christiano et al., 2017; Ouyang

    AI
    15 min read

  2. SandboxAQ Open-Sources Switch, a Coordination Layer for AI Agents in Slack and Teams

    SandboxAQ released Switch on August 26, 2026, and made its agent coordination software free to use (PR Newswire). Switch connects AI agents built with Claude Code, Google's Agent Development Kit, LangChain, OpenAI tooling and other frameworks into shared Slack, Microsoft Teams or Discord channels where employees already work. Architecture Switch turns a chat channel into a "room": a shared workspace where people and agents operate with the same context, resources and history. Agents connect t

    AI
    2 min read

  3. Z.ai releases GLM-5.3-Flash, a 320B parameter hybrid sparse-linear attention model with 18B active parameters

    Z.ai releases GLM-5.3-Flash, a 320B parameter hybrid sparse-linear attention model with 18B active parameters Chinese AI startup Z.ai (formerly Zhipu AI) has released GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series. The model was previously known in stealth as "Ox Alpha" and topped OpenRouter's leaderboard before its official release. GLM-5.3-Flash features a hybrid architecture combining sparse and linear attention with Manifold-Constrained Hyper-Connections (mHC), redu

    AI
    2 min read

  4. Vector Databases in Production RAG: Comparing Qdrant, Milvus, Weaviate, and pgvector Architecture, HNSW vs DiskANN, Filter Pipelines, Quantization, and Serving Economics

    In production Retrieval-Augmented Generation (RAG) systems, vector retrieval is rarely a simple nearest-neighbor lookup across unconstrained float32 embeddings. Real-world enterprise workloads require strict multi-tenant metadata filtering, low p99 latency under concurrent load, high write throughput for continuous ingestion, and strict memory budgeting. While synthetic benchmarks frequently test unconstrained recall on static datasets, production teams encounter severe operational divergence a

    AI
    9 min read

  5. Arga Raises $10M Seed from General Catalyst to Build Enterprise Simulation Sandboxes for AI Agents

    Arga, a startup developing synthetic simulation environments for training enterprise AI agents, has raised $10 million in a seed funding round led by General Catalyst. The round included participation from Box Group, Emergence, Gradient, and SV Angel. The company builds functional digital twins of enterprise SaaS platforms—such as Salesforce, Workday, and standard email infrastructure—to create sandboxed testing grounds for reinforcement learning (RL) workflows. Addressing the Enterprise Rein

    Funding
    1 min read

  6. Alibaba Releases Open-Weight Qwen3.8-Flash-Next with 6B Active Parameters and Qwen 4 Architecture Preview

    Alibaba has released the open weights for Qwen3.8-Flash-Next, a 125B-parameter multimodal Mixture-of-Experts (MoE) model that acts as an early architectural preview for the upcoming Qwen4 family. Operating with only 6B active parameters per token alongside a 51B N-gram embedding layer, the model targets cost efficiency across long-context reasoning, agentic coding, and multimodal workloads. For how it fits with Qwen3.8-Max, the open 2.4T weights and the Omni models, see our Qwen3.8 explainer. W

    Alibaba
    2 min read

  7. Runable Raises $21M Series A to Expand Autonomous AI Agents Into Business Growth

    Bengaluru-based artificial intelligence startup Runable has raised $21 million in Series A funding to expand its autonomous agent platform from code generation into full-funnel business operations and customer acquisition. The all-equity round valued the company at $65 million post-money and was co-led by Susquehanna Venture Capital and Nexus Venture Partners, with participation from existing backers Together Fund and Array VC. Founded in 2025 by Umesh Kumar and Saksham Sarda, Runable operates

    AI
    2 min read

  8. MiniMax Reports H1 2026 Revenue Surging 283% YoY to $116.6M Amid China AI Race

    Shanghai-based artificial intelligence foundation model developer MiniMax Group Inc. reported that its revenue increased 283% year-over-year to $116.6 million for the first half of 2026. The financial disclosure, reported by Bloomberg following the company's interim earnings filing on the Hong Kong Stock Exchange, highlights accelerated commercial monetization even as domestic foundation model competition intensifies across China. The 283% top-line expansion in the six months ending June 30, 20

    AI
    2 min read

  9. Insilico Medicine Reports First Full-Period Profit with $106.3M Revenue in H1 2026

    Clinical-stage generative AI drug discovery company Insilico Medicine reported a net profit of $35.54 million and adjusted net profit of $51.23 million on total revenue of $106.3 million for the first half of 2026. The financial results, disclosed in the company's interim report following its listing on the Hong Kong Stock Exchange in late 2025, represent the first full-period profitability recorded by an AI-focused biopharmaceutical platform company. The company achieved positive operating cas

    AI
    3 min read

  10. Huawei Proposes 2,000 Ascend 950 AI Chips for Egyptian Government Cloud in Key Export Test

    Huawei Technologies has submitted a proposal to build sovereign artificial intelligence infrastructure for the Egyptian government, offering to export more than 2,000 of its proprietary Ascend AI accelerators. The tender represents China's most significant known push to export its highest-end AI silicon to international public sector clients. The proposal has drawn immediate attention in Washington, prompting the U.S. State Department to contact American semiconductor and cloud providers to ass

    Huawei
    2 min read