Updates and recent posts about Vertex AI..

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@faun shared a link, 10 months, 4 weeks ago

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AI As Profoundly Abnormal Technology

Scott Alexander’s team argues that AI is aprofoundly abnormal technologyon track forrecursive self-improvementwithin2–10 years. They counter (AIANT)’s view (AI As A Normal Technology) of slow, regulated diffusion by showing thatLLMsare rapidly adopted in medicine, law, and software — bypassing insti.. read more

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@faun shared a link, 10 months, 4 weeks ago

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Microsoft Copilot Rooted to Gain Unauthorized Root Access to its Backend System

April 2025 Copilot Enterprise update slipped in aJupyter sandbox. It snuck in aPATH-poisonable pgrepat root’s entrypoint. Attackers could hijack that forroot execution.Eye Securityflagged the hole in April. By July 25, 2025, Microsoft patched this moderate bug. No data exfiltration reported. Why it.. read more

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@faun shared a link, 10 months, 4 weeks ago

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How Anthropic teams use Claude Code

Anthropic teamsfire upClaude Code. They automate data pipelines and squash Kubernetes IP exhaustion. They churn out tests and trace cross-repo context. Non-dev squads use plain-text prompts to script workflows, spin up Figma plugin automations, and mock up UIs from screenshots—zero code. Trend to w.. read more

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@faun shared a link, 10 months, 4 weeks ago

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The vibe coder's career path is doomed

An AI-powered dev workflow combinedClaude,Playwright, and aPostgres-backed REST APIto ship 2–3 features per day. But as complexity grew, multi-agent loops broke down, tests ballooned, and schema drift demanded increasingly precise prompts and manual corrections.The result: more time spent managing c.. read more

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@faun shared a link, 10 months, 4 weeks ago

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How AI data integration transforms your data stack

AI data integration obliterates manual ETL chores. It handlesschema mapping,transformation,anomaly detection. Deployments sprint ahead. Machine learning models digest structured, semi-structured, unstructured formats. They forge real-time pipelines bristling withgovernanceandsecurity. Infra shift:A.. read more

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@faun shared a link, 10 months, 4 weeks ago

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The Future of Threat Emulation: Building AI Agents that Hunt Like Cloud Adversaries

AI agents tap MCP servers andStrands Agents. They fire off tools that chart IAM permission chains and sniff out AWS privilege escalations. Enter the “Sum of All Permissions” method. It hijacks EC2 Instance Connect, warps through SSM to swipe data, and leaps roles—long after static scanners nod off. .. read more

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@faun shared a link, 10 months, 4 weeks ago

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[Cursor] Bugbot is out of beta

Bugbot hunts bugs in PR diffs, flagging logic slip-ups and strange edge cases. It then detects security gaps, blending top LLMs with custom heuristics. It plugs into the Cursor dashboard and runs dedicated Bugbot rules.Beta stats: 1M+ reviews, 1.5M+ issues found. Half the bugs are fixed before merge.. read more

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@faun shared a link, 10 months, 4 weeks ago

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AI Coding Tools Underperform in Field Study with Experienced Developers

METRran an randomized controlled trial (RCT) with 16 open-source devs. They tackled real-world code tasks usingClaude 3.5andCursor Pro. The pitch:40%speed boost. Reality:19%slowdown. A deep dive into 246 screen recordings laid bare friction in prompting, vetting suggestions, and merging code. That .. read more

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@faun shared a link, 10 months, 4 weeks ago

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The Evolution of AI Job Orchestration: The AI-Native Control Plane & Orchestration that Finally Works for ML

SkyPilot spins an AI-native control plane on Neocloud Kubernetes. It binds GPU pools across clouds into one resilient grid. Teams define ML jobs in a single YAML. SkyPilot drives gang scheduling, SSH/Jupyter access, and multi-cluster compute. It does auto failover and cost-smart scheduling. Infra s.. read more

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@faun shared a link, 10 months, 4 weeks ago

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Seeing like an LLM

LLMs function as next-token predictors. With scant user context, they hallucinate—spinning fresh backstories. As these models morph into autonomous agents, context engineering—feeding facts, memory, tools, guardrails—halts rogue behavior. Trend to watch:A jump in context engineering. It pins LLMs t.. read more

Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.