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Chad Collins

1,100 articles published

How to Give AI Agents Google Cloud Access Without Losing Control of Cost and Permissions

What Happened Google Cloud’s Cloud CLI remote MCP server is in public preview. It gives MCP-compatible agents access to hundreds of gcloud and bq commands without installing CLI binaries in the agent runtime. Its two tools, run_gcloud_command and run_bq_command, support cloud infrastructure management and BigQuery operations, including scheduled queries, job monitoring, execution-plan analysis, reservation management…

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AI Adoption Is Raising Hardware Costs and Security Stakes: How Businesses Should Respond

What Happened Reports published October 1–2 point to three immediate pressures on technology buyers: tighter infrastructure supply, greater urgency around security, and AI interfaces taking more control of customer interactions. Not every underlying development occurred within that reporting window. Hardware pricing is moving upward. Nvidia increased the Shield TV Pro’s price from $199.99 to $299.99,…

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AWS Cloud Updates: What Security, Data and Operations Teams Should Change

What Happened AWS announced changes across threat detection, analytics, identity and operations on October 1–2, 2026. The most consequential updates affect how teams enforce security baselines, move data and act on recommendations. Security and identity October 2: GuardDuty Runtime Monitoring is included in the Security Hub Threat Analytics plan where Security Hub is enabled. Detection…

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How to Build Production AI Platforms That Control Cost, Access and Deployment Risk

What Happened Recent AWS implementations illustrate a practical architecture pattern: separate model execution from workflow orchestration, data authorization, evaluation and deployment. The model generates or classifies; surrounding services decide what it can access, when its outputs are accepted and whether actions require approval. Migration automation: A four-agent workflow on Amazon Bedrock AgentCore supports intake, infrastructure-as-code…

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How to Track AI Library Releases Without Breaking Production Applications

What Happened LiteLLM v1.103.2 backports proxy and Anthropic fixes to its stable branch. LiteLLM v1.101.4 syncs its stable branch to v1.101.3 and backports three changes; the release notes do not identify those changes. Both releases state that LiteLLM Docker images are signed with cosign and recommend verifying against a public key pinned to commit 0112e53046018d726492c814b3644b7d376029d0,…

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AI Assistant Launches Are Multiplying, but Funding and Traction Remain Unclear

What Happened Y Combinator appointed Vivian Midha Shen and Raphael Schaad as General Partners after two batches as Visiting Partners. Shen previously built Juni Learning and Acely; Schaad founded Cron, which Notion acquired, and later grew Notion Calendar to millions of users. Their new roles extend from supporting founders during a batch to working with…

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What This Week’s AI Developments Mean for Enterprise Agents, Model Costs and Security

What Happened Frontier-model announcements drew attention, but the more actionable developments concern how models are used and verified. Google DeepMind’s Gemini 4 Argon reportedly supports up to one million output tokens and leads many published benchmarks; some results are disputed, and access is limited to government users and trusted cyber defenders. OpenAI introduced persistent agents,…

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How to Secure AI Agents Against Credential Theft and Fast-Moving Cyberattacks

What Happened Microsoft’s 2026 Digital Defense Report describes attacks spanning identities, applications, cloud systems, infrastructure and software supply chains. Its findings indicate that attackers are using AI to accelerate and tailor established techniques, while both attackers and defenders use AI to find software vulnerabilities. [2] In Microsoft’s observations, government agencies and services accounted for 27%…

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How to Build AI Governance That Goes Beyond Vendor Safety Claims

What Happened A critique from the AI Now Institute challenges claims that today’s AI systems provide a sound basis for estimating human-extinction risk. It also argues that safety rules designed and assessed primarily by model providers could strengthen those providers’ position while limiting independent scrutiny. These are arguments about evidence and accountability, not proof that…

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Illustration for the Kimbodo News & Research briefing “What GitHub Copilot and JetBrains Air Updates Mean for AI-Assisted Development” (AI Coding & Developer Tools).

What GitHub Copilot and JetBrains Air Updates Mean for AI-Assisted Development

What Happened GitHub expanded Copilot from code assistance into workflow execution. In public preview, computer use lets Copilot CLI and the Copilot desktop app read and control approved macOS or Windows applications, including GUI-only tools. Dynamic workflows, also in public preview, let developers define multi-stage agent processes in code, pass structured results between stages, and…

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What New AI Research Means for Building Safer, More Reliable Business Agents

What Happened Recent papers point to a practical shift: agent performance depends not only on the base model, but also on how teams train for failures, construct environments, manage execution, and verify outputs. Failure data can improve recovery. The Agent Error Dataset contains 50,228 error–diagnosis pairs with execution traces. In matched replays, first-proposal corrections raised…

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How to Prevent API Key Leaks in RAG Search Infrastructure

What Happened Weaviate v1.39.3 fixes a high-severity credential disclosure vulnerability in its Google-backed embedding and generation modules. Earlier versions could send a configured Google API key or OAuth token to an attacker-controlled host if an unvalidated apiEndpoint was supplied. An attacker could set that endpoint through collection configuration with schema-write access or, for generative-google, through…

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