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AI News: Dots, GPT-6.1 Sol, Sonnet 5.5, Gemini 4, and everything you need to know
Matt Wolfe · 2026, ai news, openai, gemini
AI directory search
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
43 matches for "google"
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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Matt Wolfe · 2026, ai news, openai, gemini
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Fireship · 2026, gemini, frontier models, multimodal ai
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Google for Developers · ml foundations, classification, neural networks, foundations
A fast, practical way to build vocabulary and intuition before going deeper into LLMs or AI engineering.
Topics
ML foundations, Classification, Embeddings, Neural networks
Google Cloud AI learning paths · Beginner to advanced
Hands-on labs for people building AI systems on Google Cloud and Vertex AI.
Topics
Cloud AI, Vertex AI, Generative AI, MLOps
Gemini API model docs · Beginner to advanced
Official Gemini material for learning Gemini 3.8 Flash and the current stable, preview, latest, and experimental model lineup, plus the now-GA Interactions API, Lyria music generation, prompt design, function calling, background execution, Deep Research, Computer Use, Hooks, Live API, File Search, coding-agent setup, multimodal tradeoffs, and AI Studio workflows.
Topics
Gemini 3.8 Flash, Gemini models, Multimodal AI, Long context, Model selection, AI Studio, Interactions API, Background execution, Deep Research, Computer Use, Hooks, Live API, Coding agents, Music generation, File Search, API examples
Builders choosing between Claude, GPT, Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, Perplexity, and hosted open models
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Managed model and agent evaluation service · Google Cloud · Intermediate to advanced
Vertex AI teams evaluating model outputs, prompts, RAG responses, function calls, and agent trajectories with managed or custom metrics.
evals, llm evaluation, ai quality, cloud and provider evals
Workforce AI skills playbook · Google Cloud · Beginner
Use this five-step playbook to assess an organization's AI baseline, put AI into existing workflows, establish trust, offer flexible learning, and recognize progress. It also links to the Google courses and learning paths listed below.
ai skills, workforce training, ai adoption, change management, responsible ai
Course · Google Cloud · Beginner
Use this one-hour introductory course when you need a practical way to assess a team's learning needs, identify skill gaps, and connect AI training with career development.
ai skills, skills assessment, team development, career development, generative ai
Learning path · Google Cloud · Beginner
Use this four-activity learning path for an introductory overview of generative AI, large language models, and responsible AI principles.
generative ai, large language models, responsible ai, foundations, learning path
Course · Google Cloud · Beginner
Use this 30-minute introductory course to learn where Gemini fits into Google Workspace and how to start applying it to everyday work.
gemini, google workspace, ai workflow, productivity, workplace ai
Responsible AI principles · Google · Beginner
Use this as Google's primary statement of the principles it applies to AI development and deployment, alongside the playbook's recommendation to build a framework for trust.
responsible ai, ai principles, ai governance, ai safety, trust
Course · Google Cloud · Beginner
Use this one-hour course when security and data-protection leaders need a framework for identifying AI-specific risks, protecting sensitive data, and applying Google's Secure AI Framework.
ai security, secure ai framework, data protection, compliance, risk management
Learning path · Google Cloud · Beginner
Use this practical learning path for short lessons and challenges covering Gemini, Google Workspace, NotebookLM, and Google AI Studio in everyday business workflows.
gemini, notebooklm, google ai studio, google workspace, workplace ai
Skill badge course · Google Cloud · Beginner
Use this 45-minute hands-on course to practice prompting, multimodal image and video analysis, and rapid application prototyping in Google AI Studio.
google ai studio, prototyping, prompting, multimodal ai, api keys
Certification learning path · Google Cloud · Beginner to intermediate
Use this five-course learning path to prepare leaders to explain generative AI, apply Google's AI tools to business innovation, and prepare for the Generative AI Leader certification.
generative ai leader, business transformation, gemini, ai agents, certification
Professional certificate · Google · Beginner
Use this foundational certificate program to build job-ready data analytics skills and learn how AI can support analysis, visualization, and workflow productivity.
data analytics, sql, python, tableau, data visualization
MCP gateway launch explainer · Google Cloud · Intermediate
Google announced API Gateway MCP support on September 24, 2026. Use this explainer to assess the request flow, security boundary, preview limits, and a safe first rollout.
mcp, model context protocol, api gateway, openapi, ai agents
Coding agent evaluation guide · Google Developers Blog · Intermediate to advanced
You want Google's September 9, 2026 guide to evaluating coding agents with small behavioral checks, outcome-based assertions, and batch runs that catch regressions without treating a single benchmark score as the whole story.
coding agents, evals, behavioral evaluations, regression testing, harness engineering
Model launch and selection guide · Google AI · Intermediate
You want Google's September 2, 2026 launch details for Gemini 3.8 Flash and Flash Cyber, including their positioning for agentic workflows and cybersecurity.
google, gemini, frontier models, agentic workflows, cybersecurity
Model docs · Google AI for Developers · Intermediate
You need Google's official September 2, 2026 GA reference for its newest Flash model, including the stable model ID, 1M-token input window, thinking levels, multimodal inputs, tools, and production inference options.
gemini, gemini 3.8 flash, coding, autonomous agents, long context
Model docs · Google AI for Developers · Beginner to intermediate
You want Google's September 3, 2026 preview documentation and examples for generating short clips or full songs from text and image inputs with the Lyria 3.5 Clip and Pro models.
google, lyria 3.5, music generation, audio generation, multimodal
Evaluation guide · Google AI for Developers · Intermediate to advanced
You want Google's practical July 31, 2026 guide to running the same agent and model evaluations during development and on production traffic, with metrics for quality, safety, grounding, tool use, and trajectories.
google, gemini, agents, evals, model selection
Guide · Google AI for Developers · Beginner to intermediate
You want Google's current top-level map of Gemini models, agents, tools, and the recommended Interactions API entrypoint before going deeper.
gemini, google, interactions api, models, agents
Model docs · Google AI for Developers · Beginner to advanced
You need to compare current Gemini stable, preview, latest, and experimental model IDs, context windows, and modality support.
gemini, google, multimodal, long context, model selection
Model docs · Google AI for Developers · Intermediate
You want the official page for Google's August 13, 2026 Gemini 3.7 Flash GA release before relying on older Flash guidance for coding or agent workflows.
gemini, gemini 3.7 flash, coding, agentic workflows, model selection
Guide · Google AI for Developers · Intermediate
You want Google's current Gemini 3 feature guide covering built-in tools, function calling, batch support, context caching, and model-fit questions in one place.
gemini, gemini 3, tools, batch api, context caching
Guide · Google AI for Developers · Intermediate
You want Google's official setup path for Gemini-driven coding-agent workflows, Gemini Docs MCP, and skills rather than generic prompt advice.
gemini, coding agents, developer tools, mcp, workflow setup
Guide · Google AI for Developers · Intermediate
You want the official overview of Gemini managed agents, sandbox behavior, and when to use agent workflows instead of plain model calls.
gemini, agents, interactions api, deep research, coding agents
Quickstart · Google AI for Developers · Intermediate
You want Google's practical quickstart for building a managed Gemini agent that streams responses, keeps multi-turn state, uses the Antigravity sandbox, and can return files instead of reading only the higher-level overview.
gemini, managed agents, interactions api, tools, stateful workflows
Guide · Google AI for Developers · Intermediate to advanced
You want to extend Gemini's managed-agent harness with your own instructions, skills, and data instead of using the default Antigravity setup unchanged.
gemini, managed agents, custom agents, skills, stateful workflows
Guide · Google AI for Developers · Intermediate to advanced
You need Google's exact sandbox, source-mount, and network-control model before trusting a managed Gemini agent with code, files, or long-running work.
gemini, managed agents, sandbox, skills, hooks
Playground guide · Google AI for Developers · Intermediate
You want the visual Gemini playground for prototyping managed-agent instructions, tools, and environments before committing to API code.
gemini, ai studio, managed agents, playground, sandbox
Guide · Google AI for Developers · Intermediate
You want Gemini to notify your app when long-running jobs finish instead of polling Batch, Interactions, or video operations in a loop.
gemini, webhooks, interactions api, background execution, async workflows
Migration guide · Google AI for Developers · Intermediate
You are upgrading an older Gemini integration and need Google's current migration path toward the Interactions API for stateful agent workflows.
gemini, interactions api, migration, agents, stateful workflows
Release notes · Google AI for Developers · Intermediate
You need the official Gemini launch and shutdown timeline before relying on preview model IDs or older Flash variants.
gemini, google, release notes, model deprecations, model selection
Migration guide · Google AI for Developers · Intermediate
You need Google's official shutdown schedule and recommended replacements before pinning Gemini preview or Flash variants in a long-lived workflow.
gemini, deprecations, migrations, model selection, release notes
Guide · Google AI for Developers · Intermediate
You want the official Gemini route for high-volume asynchronous generation, evaluation, extraction, or backfill workloads.
gemini, batch api, async workflows, cost optimization, offline processing
Guide · Google AI for Developers · Intermediate
You need Google's current guidance for caching repeated context to reduce cost and speed up long-context Gemini workflows.
gemini, context caching, prompt caching, latency, cost
Guide · Google AI for Developers · Intermediate to advanced
You need Google's current pattern for long-running Gemini tasks such as deep research, multi-step agents, and server-side asynchronous execution.
gemini, background execution, interactions api, async workflows, deep research
Guide · Google AI for Developers · Intermediate
You want the official Google path for low-latency voice and vision agents before designing a realtime Gemini workflow.
gemini, live api, voice agents, realtime, multimodal
Guide · Google AI for Developers · Intermediate
You want current Gemini-specific prompting advice for system instructions, reasoning tasks, multimodal inputs, and tool-connected workflows.
gemini, prompting, reasoning, multimodal, tool use