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Chad Collins

1,104 articles published

How AI-Driven Attackers Exploit Collaboration Platforms and Models — Practical Defenses for Enterprises

What Happened Unit 42 documented a voice-phishing (vishing) campaign — dubbed "Spring Ring" — that abused Microsoft Teams calling features to impersonate trusted internal contacts, socially engineer employees, deliver malware, and escalate to domain controllers, enabling broad network compromise [1]. The campaign leveraged platform-native trust signals (caller identity, in-app presence) to bypass traditional email-centric defenses…

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How VS Code’s August Copilot Updates Streamline Multi‑agent Coding Workflows and Cost Visibility

What Happened Microsoft shipped VS Code v1.132–v1.135 with a concentrated set of Copilot, Claude and Agent Host workflow improvements that target multi‑agent sessions, review/search ergonomics, and local developer interactions [1]. Key changes include: Agent sessions and workflows: side‑by‑side chats, /btw side‑conversations, a prompt timeline, portable Agent Plugins 1.0, model‑provider switching between Anthropic and…

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Cut AI Costs 5–50× and Close Emerging Security Gaps: Practical Actions from the Latest AI Research

What Happened A burst of papers from major labs shows two concurrent trends: (1) practical systems and model-design techniques that cut inference and training cost dramatically while preserving or improving accuracy, and (2) new attack surfaces and failure modes that demand engineering controls when deploying LLMs and retrieval systems. Highly efficient pathology foundation-model…

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How to Pick and Run Agent Frameworks to Build Reliable, Observable, and Secure AI Agents

What Happened Agent frameworks and agentic tooling have converged on a small set of repeatable capabilities: tool orchestration, structured IO, retriever-augmented workflows, memory/state management, multi-model coordination, and execution sandboxes. Major open-source and commercial projects that teams evaluate today include LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, PydanticAI, DSPy, Semantic Kernel, the OpenAI Agents SDK, and vendor tools…

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Match AI Hardware, Cloud Services and Deployment Tooling to Cut Inference Cost and Speed Production

What Happened Industry suppliers continue consolidating the edge-to-cloud AI stack while expanding specialized silicon and software ecosystems. A recent example: NVIDIA and MediaTek announced a deeper partnership to jointly develop next‑generation AI computing platforms spanning cloud, on‑device/edge and automotive use cases, signalling renewed emphasis on coordinated edge‑to‑cloud hardware/software roadmaps and partner ecosystems.[1] Why It Matters…

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Illustration for the Kimbodo News & Research briefing “Open-Source Models & Communities — August 31, 2026” (Open-Source Models & Communities).

Open-Source Models & Communities — August 31, 2026

What Happened Over the last set of community commits to the ggml / llama.cpp ecosystem there are a cluster of low-level performance, portability and correctness changes that materially affect production inference stacks: accelerated kv-cache restore, GPU kernel tunings, backend bugfixes, MOE fusion and encoder fusion into the decode path, plus platform memory reporting and WebGPU…

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How Today’s AI Moves — from agent sandboxes to sovereign procurement — Should Reshape Your AI Strategy

What Happened A cluster of developments across regulation, infrastructure, enterprise workflows and safety shifted the AI landscape today: Financial risk warning: Bank of England chief Andrew Bailey warned inflated AI valuations, rising leverage and cross‑investments between AI firms and hyperscalers could spark the next financial crisis, and highlighted frontier AI cyber risks and…

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Amazon OpenSearch Adds 17 Automated Cluster Insights — Diagnose Red/Yellow Status Faster and Act with Targeted Fixes

What Happened On 2026-08-31 Amazon OpenSearch Service expanded its Cluster Insights feature with 17 new automated insights that detect root causes for Red and Yellow cluster status and provide remediation recommendations [1]. The insights target resource-exhaustion conditions (for example, JVM OOM and sustained CPU saturation) and configuration problems (for example, zone imbalance and misconfigured replica…

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AI Platform Regulation Is Tightening: What Businesses Need to Change Before Deploying Agents, Apps and User-Generated AI

What Happened Three changes stand out for business and technology leaders: regulators are treating AI interfaces as high-risk digital platforms, consumer platforms are moving toward stricter AI identity disclosure, and AI-assisted creation tools are becoming easier to use but more closed and platform-controlled. EU online safety rules now apply more directly to AI platforms The…

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How ChatGPT Work Changes Enterprise AI Platform Architecture and Cost Decisions

What Happened OpenAI introduced ChatGPT Work as a paid-user environment that combines model selection, a persistent shared filesystem, code execution with internet access, browser automation, scheduled prompt automations, multi-agent sub-sessions, and the ability to publish generated sites [1]. The Work Cloud experience runs through chatgpt.com and mobile, while Work Local is positioned as a desktop…

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