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Author page: Chad Collins

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Chad Collins

822 articles published

How to Detect and Stop Stealth Reverse‑Tunnel Intrusions — Lessons from the TerminalFix Campaign

AI Security & CybersecurityAugust 29, 2026176Views0Likes0Comments
What Happened Microsoft observed a multistage intrusion campaign (TerminalFix / ClickFix variant) that combined social engineering, signed‑binary abuse, steganography and a Python‑based reverse tunnel to enable silent pivoting and reconnaissance inside target networks [1]. Initial access: victims were lured to paste a malicious PowerShell command from a fake Cloudflare Turnstile CAPTCHA; that command…

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Cut LLM Token Costs in Large-Scale Code Migrations with Sandboxed Search-API Scripts

AI Coding & Developer ToolsAugust 29, 2026127Views0Likes0Comments
What Happened Sourcegraph published an approach that runs scripted audits inside a sandbox which calls Sourcegraph search APIs, and emits a single compact CSV checklist summarizing migration findings instead of returning thousands of files into an LLM context [1]. The sandboxed scripts do analysis near the search layer; the audit artifact is token-efficient and designed…

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How Recent Llama.cpp Backend Fixes and Tunings Unlock Practical Large‑Context and Mobile GPU LLM Inference

Open-Source Models & CommunitiesAugust 29, 2026154Views0Likes0Comments
What Happened Over the last set of repository changes to the llama.cpp / llama.app ecosystem the community merged multiple low‑level backend fixes and hardware tunings that materially improve inference performance, stability and usable context length across mobile and desktop GPUs: OpenCL on Adreno: the OpenCL backend now enables the Adreno xmem F16xF32 GEMM…

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AI Adoption Is Moving From Raw Compute to Efficient, Governed Infrastructure

Industry NewsAugust 29, 2026110Views0Likes0Comments
What Happened Several technology shifts moved in the same direction: businesses are no longer just buying more AI capability; they are being forced to manage efficiency, governance, legal exposure, privacy, and infrastructure risk. AI infrastructure is becoming a systems problem, not only a chip problem. Nvidia’s next-generation data center advantage is increasingly tied…

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How to Build Cost-Efficient, Highly Available AI Platforms on SageMaker Without Sacrificing Production Controls

ResearchAugust 28, 2026111Views0Likes0Comments
What Happened AWS added and demonstrated several capabilities that matter for teams operating production AI systems on cloud infrastructure: higher-throughput feature store writes, record discovery for online stores, large-scale time-series forecasting patterns, and availability-aware model placement for co-hosted inference. Amazon SageMaker Feature Store now supports BatchWriteRecord, allowing up to 25 records across multiple feature groups…

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Stay Production-Safe: Track Version, Compatibility and Security Changes in Key Open‑Source AI/ML Libraries

GitHub Release MonitoringAugust 28, 2026100Views0Likes0Comments
What Happened Across the open-source AI/ML ecosystem this week there are multiple maintenance, preview and developer releases that affect runtime behavior, tooling adapters, image supply chain, UI/UX and billing/observability: Ollama macOS and UI bug fixes: v0.33.2 restores system dark mode, fixes macOS single‑instance handoff, and prevents Claude Desktop proxy model catalog updates from…

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Standardized Robot Learning and Hardened Agent Infrastructure: Immediate Actions for Business Leaders

Curated AI Newsletters & SummariesAugust 28, 2026114Views0Likes0Comments
What Happened Two converging trends dominated AI operations this week: standardization in robot learning and rapid maturation of agent infrastructure and model deployment techniques. LeRobot introduced a composable protocol and library that standardizes dataset formats, teleop rigs, training loops and drivers for robot learning—positioning itself as a USB‑style substrate for robotics and backed by ICLR…

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Why LLM Internal Safety Can Be Fragile — and How to Harden Production AI with Defense-in-Depth

AI Security & CybersecurityAugust 28, 2026141Views0Likes0Comments
What Happened Unit 42 introduced a diagnostic called perturbation probing and used it to show that safety refusals in large language models are often concentrated in a thin, localized neural layer rather than distributed across the model. The practical takeaway is that internal model defenses (the model's own refusal behavior) can be highly brittle: small…

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How GitHub’s August Copilot Updates Improve Team Collaboration, Large-Scale Code Review and Admin Controls

AI Coding & Developer ToolsAugust 28, 2026233Views0Likes0Comments
What Happened Visual Studio Copilot: adds organization-level custom agents (org/enterprise owners can publish agents org-wide), improved usage/notification controls, Low/Medium/High “thinking effort” model presets, model pinning/manage-models UI, and a Git agent that reviews uncommitted changes or commits inline (works with GitHub and Azure DevOps) [1]. Shared sessions and IDE/CLI updates: Copilot now…

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Turn Recent AI Research into Lower‑Risk, More Efficient Production LLM Systems

AI Research & PapersAugust 28, 2026126Views0Likes0Comments
What Happened This week’s literature advances practical techniques across agent architectures, evaluation methodology, training data selection, deployment efficiency, and safety/verification. Highlights: Agent design: Decoupling high‑latency planners from fast controllers improves instruction flexibility and latency in embodied agents [4]; persona/execution separation provides an auditable contract for stateful agents in regulated contexts [56]. …

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