Updates and recent posts about Vertex AI..

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@faun shared a link, 10 months, 2 weeks ago

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Using generative AI for building AWS networks

Amazon Q Developer CLI and Bedrock just leveled up. You can now spin up AWS Cloud WANs and VPCs using plain English. Type what you need—get full deployments, phased migrations, and IaC for both CloudFormation and Terraform. Agents handle the whole stack: network discovery, rollout, and config. No m.. read more

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@faun shared a link, 10 months, 2 weeks ago

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How to Build an Agent

A new framework lays out six sharp steps for building agents that actually ship. It kicks off with a grounded task, locks in SOPs, then tunes high-leverage prompts. The real choke point? LLM reasoning. Everything else—architecture, data flow, testing—is scoped to chase tight, measurable gains there... read more

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@faun shared a link, 10 months, 2 weeks ago

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Typed languages are better suited for vibecoding

Claude’s making typed, compiled languages feel like cheating. Rust, Go, TypeScript—rising fast where Python used to reign. Why? AI coding tools now catch bugs early, validate sprawling diffs, and help devs grok unfamiliar codebases without breaking a sweat. Compiler guarantees + AI pair = fast, safe.. read more

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@faun shared a link, 10 months, 2 weeks ago

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Azure AI Speech Service Configuration

Azure AI Speech now splits config paths forTTS(text-to-speech) andSTT(speech-to-text) when usingmanaged identity—and yes, they're different enough to matter. Roles, env vars, and auth flows don’t line up. Private endpoints? They nuke regional fallbacks, so you’ll need to pass full URLs. A shared ut.. read more

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@faun shared a link, 10 months, 2 weeks ago

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Browser-Based LLMs: WebGPU Enables AI in Your Browser

Browser-based LLMs likeBrowser-LLMnow run models likeLlama 2entirely in the browser—no server round-trips, no cloud bill. Just you, WebGPU, and up to7B parametershumming along on your machine. System shift:WebGPU cracks open real AI horsepower in the browser. Local inference gets faster, more priva.. read more

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@faun shared a link, 10 months, 2 weeks ago

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Building AIOps with Amazon Q Developer CLI and MCP Server

Amazon Q Developer CLI now hooks into Model Context Protocol (MCP) servers, unlocking AIOps tasks—incident detection, remediation, security fixes—through plain English. Natural language in, real-time control out. It fetches data and talks to your AWS stack via a low-code UI. Tinkerable, scriptable,.. read more

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@faun shared a link, 10 months, 2 weeks ago

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OpenAI prepares to launch GPT-5, but big leaps are unlikely

Internal testing showsGPT-5edges ahead of GPT-4—better code, cleaner math, sharper step-by-step thinking. But no breakthrough. No leap. OpenAI even scrapped “Orion,” the original GPT-5 push, and settled on GPT-4.5 instead. Translation: scaling Transformers is hitting a wall. System pivot:OpenAI’s n.. read more

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@faun shared a link, 10 months, 2 weeks ago

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Code Execution Through Deception: Gemini AI CLI Hijack

Tracebit discovered a silent attack on Gemini CLI due to improper validation, prompt injection, and misleading UX leading to execution of malicious commands without user awareness. Google fixed this in v0.1.14... read more

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@faun shared a link, 10 months, 2 weeks ago

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6 Weeks of Claude Code

Puzzmo just nuked years of tech debt in six weeks thanks toClaude Code, Anthropic’s AI-powered dev sidekick. With a clean monorepo, tight tooling (React, GraphQL, Relay), and some well-aimed prompts, one engineer knocked out core migrations, unified the UI, and abstracted the CMS—all without derail.. read more

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@faun shared a link, 10 months, 2 weeks ago

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One Dataset. No Warning. Google Took Everything. You’re Not Safe Either.

An indie dev got their Google account nuked—no warning—right after unzipping an NSFW dataset on Drive. It was for benchmarking a private, on-device AI model that actually beat the cloud. Didn’t matter. The system flagged a CSAM violation, locked everything, and offered no appeals. Key takeway:If yo.. 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.