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Author page: Chad Collins

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Chad Collins

817 articles published

Choose the Right GPU, Cloud and Deployment Stack to Ship Secure, Cost-Effective AI Products

AI Infrastructure, GPUs & Deployment2 days ago21Views0Likes0Comments
What Happened The recent release of Perplexity's Portable Computer for Windows — a local, multistep agent accelerated by NVIDIA RTX — highlights a clear trend: AI agents and capable models are moving off centralized clouds and onto endpoint GPUs to reduce latency and keep sensitive data local [1]. At the same time, enterprises must balance…

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Why the latest llama.cpp / ggml updates make multiplatform, low-cost inference realistic for production

Open-Source Models & Communities2 days ago23Views0Likes0Comments
What Happened The llama.cpp project published a major v0.4.1 milestone and associated commits that together expand model support, backend coverage, server reliability and observability while hardening correctness across CPU/GPU/accelerator backends. New models & formats: adds Maple 20B‑A1B (ternary MoE, CPU) and a Tencent Hy 4 preview; conversion and format flags (e.g., --fuse-qkv) to…

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AI Adoption Is Shifting From Model Capability to Governance, Data Control and Deployment Risk

Industry News2 days ago20Views0Likes0Comments
What Happened Several technology signals moved in the same direction: businesses can no longer evaluate AI only by model performance. Governance, data retention, political risk, public trust and operational control are becoming central to technology adoption. Microsoft formalized a human-centered AI position. The company is publishing a 37-page “humanist AI code of conduct”…

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GitHub Release Monitoring — September 13, 2026

GitHub Release Monitoring2 days ago29Views0Likes0Comments
What Happened Two representative OSS updates show the mix of security, stability and experimental changes teams must track. LiteLLM v1.102.0-rc.1: a release candidate that adds image signing (cosign) with an explicit public key and verification examples; broad stability and correctness fixes across caching, proxy, vector stores, routing, spend accounting, Redis, Databricks, OCR and…

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Curated AI Newsletters & Summaries — September 13, 2026

Curated AI Newsletters & Summaries2 days ago44Views0Likes0Comments
What Happened A concentrated set of product, research and funding moves shifted the practical landscape for production AI systems this week: major multimodal and mixture‑of‑experts releases optimized for agent loops, new petabyte‑scale genomic prediction data, managed agent platforms and continued investor appetite that accelerates productization. DeepSeek V4.1‑Flash: a 552B MoE asymmetric causal encoder–decoder…

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Reduce Failures and Mean Time to Fix for RAG Systems — Practical Patterns for Vector DBs, LLM Tooling and Search

Retrieval, RAG & Search3 days ago22Views0Likes0Comments
What Happened A recent engineering project built a publicly hosted Model Context Protocol (MCP) server for Vespa Cloud and evaluated an agent that used the MCP server vs an agent given a Vespa CLI/terminal. The MCP-based agent passed 97% of deterministic assertions vs 95% for the CLI agent, required fewer deployment attempts, resolved issues faster,…

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How llama.cpp’s Recent Cross‑Platform, Backend and Tooling Changes Reduce Inference Risk and Lower Deployment Cost

Open-Source Models & Communities3 days ago31Views0Likes0Comments
What Happened Over the last set of upstream changes, the ggml/llama.cpp ecosystem pushed multiple engineering fixes and tooling improvements that matter for production inference deployments. Key items: Expanded and hardened multi‑platform CI/build matrix (macOS/iOS, Linux x64/arm64/s390x, Android arm64, Windows, and openEuler variants) with many GPU/backends covered (CUDA 12/13, Vulkan, ROCm 10.0, OpenVINO, SYCL…

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Why AI Politics, New Frontier Models and Long‑Horizon Agents Change Enterprise Strategy

AI Industry News3 days ago32Views0Likes0Comments
What Happened Major AI developments today cluster around three themes: politics and oversight, frontier model capability and product releases, and emergent agent/architecture patterns that change how enterprises will use AI. Politics and oversight: President Trump rejected calls to slow AI development and framed regulation as driven by “existential fears” [1]; former President Obama…

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How AWS Elemental MediaLive’s Video Aligned Locking Removes the Need for Timecode in Frame‑Accurate Live Switching

Industry News3 days ago30Views0Likes0Comments
What Happened AWS Elemental MediaLive launched Video Aligned Locking, a feature that provides frame‑accurate pipeline locking for streams that do not carry source timecode. Released 2026-09-12, the feature uses visual signatures to automatically identify and align specific frames across inputs and pipeline channels, enabling frame‑accurate input switching without specialized hardware or external timecode sources [1].…

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How to Build Enterprise AI Agents That Preserve Provenance, Control Cloud Costs, and Stay Secure

Research3 days ago28Views0Likes0Comments
What Happened A recent AI-assisted workflow used ChatGPT with GPT-6 Astra to generate looped 5K and 10K running routes from a home location. The agent geocoded the start point with Nominatim, fetched roads and trails from OpenStreetMap via Overpass, calculated local loops, and produced an embedded visualization plus downloadable GPX and GeoJSON artifacts. One job…

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