Fresh AI news
Google plans to honor a shared robots.txt AI training controlGoogle’s Project Suncatcher satellite returns its first AI responseOpenAI will honor a shared robots.txt signal for AI trainingOpenAI commits to a community safety report and tighter limitsCursor removes malicious Claude Code builds from its marketplaceOpenAI ships a shorter, less agreeable GPT-6 Luna updateOpenAI updates its Model Spec around five core valuesGitHub Copilot Fusion is generally available for model routingGoogle announces Gemini 4 Carbon for cyber defense and codingNVIDIA releases open-weight Nemotron 3.5 TranscribeAnthropic expands AI for Science credits to 20 research partnersChatGPT Pro and Business can claim up to $500 a month in API creditsMicrosoft offers the Copilot harness through FoundryMicrosoft records $10 billion in quarterly revenue from OpenAIGoogle plans to honor a shared robots.txt AI training controlGoogle’s Project Suncatcher satellite returns its first AI responseOpenAI will honor a shared robots.txt signal for AI trainingOpenAI commits to a community safety report and tighter limitsCursor removes malicious Claude Code builds from its marketplaceOpenAI ships a shorter, less agreeable GPT-6 Luna updateOpenAI updates its Model Spec around five core valuesGitHub Copilot Fusion is generally available for model routingGoogle announces Gemini 4 Carbon for cyber defense and codingNVIDIA releases open-weight Nemotron 3.5 TranscribeAnthropic expands AI for Science credits to 20 research partnersChatGPT Pro and Business can claim up to $500 a month in API creditsMicrosoft offers the Copilot harness through FoundryMicrosoft records $10 billion in quarterly revenue from OpenAI
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Teaching & Building with AIAgents, Local Models, and Workflows

I build with AI coding agents and share what works on X and YouTube and give back through free AI resources and open-source projects.

I also partner with startups to promote their AI products.

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Melvin Vivas at his desk in front of an AI agent architecture diagram

Coding Agents I use

  • Grok Bot
  • Codex
  • Claude Code
  • Cursor
  • Pi Agent
  • Devin

Grok Bots by Melvin

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Bots I built for my own work and published for anyone to use. Open one, add it to Grok, and make it yours.

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AI Product Demos · For AI startups & product teams

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My X analytics · Last 4 weeks · Sep 14 – Oct 11, 2026

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Teaching live on YouTube & X

No slides, no hype. I teach by building live on YouTube and X: AI agents, local models, and AI workflows, mistakes included. Join live and ask questions in chat, catch the replays on YouTube, and follow on X for the latest AI updates.

Open to brand collabsBuilding an AI product that fits the channel? Sponsored posts, demo videos, and livestream features.
  • Building AI agents live, from first prompt to working tool
  • Running and evaluating local models on real hardware
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  • Honest takes on the week's AI news and launches

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years shipping software, the context behind every video

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    AI literacy and hands-on build sessions for students and faculty.

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    Your team builds AI agents and workflows on its own use cases, not toy demos.

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    Talks and briefings on where AI agents and local models fit, in plain language.

Invited to teach and speak by

Nanyang Technological University, Singapore
Philippine Software Industry Association (PSIA)
Department of Information and Communications Technology (DICT), Philippines
Bureau of Fisheries, Department of Agriculture, Philippines

Watch, read, learn

Pick your format. Every one covers AI Agents, Local Models, and AI Workflows, for builders who ship and teams figuring out where AI fits.

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AI Agents, Local Models, and AI Workflows built live, start to finish, mistakes left in. Ask questions live or catch the replay.

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The repos behind the livestreams and tutorials, free to clone, run, and learn from.

Singapore · SE Asia

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AI Agents, Local Models, and AI Workflows workshops for schools, universities, and organizations.

Free

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Papers, guides, and runnable notebooks I point people to after every stream and talk.

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Learn with others

Join the conversation on X and LinkedIn, where builders swap prompts, tools, and war stories.

Today's AI news brief

All AI news

Hardware ·

Google’s Project Suncatcher satellite returns its first AI response

Google said (Oct 30) its Project Suncatcher prototype satellite, launched October 1, returned the first AI response from a data-center-class TPU in orbit. Google says commissioning included powering the host and TPU trays and running early machine-learning tests. During a ground-station pass it uplinked a prompt to an onboard Gemma 4 open model asking for a haiku about being in space, and the satellite downlinked a poem while passing Svalbard, Norway. Google says later prompts asked for space-themed limericks and for telemetry on the payload. Next, Google plans tests of how the TPUs handle thermal stress and radiation in orbit. It says the following milestone is twin interconnected satellites in 2027. Distinct from Google’s September 24 Project Suncatcher prototype explainer.

Source: Google

Enterprise ·

Google plans to honor a shared robots.txt AI training control

Google said (Oct 30) it plans to support a shared AI training control in robots.txt, based on work from the IETF AIPREF working group. Google says a website will be able to use one policy token to set a broad training preference for participating AI providers. If that token opts out of training and Google-Extended is not set explicitly, Google plans to treat the file as if the publisher had disallowed Google-Extended. Company-specific controls, including Google-Extended, keep working beside the shared signal. Google says sites that specifically allow Google-Extended stay eligible to appear in Gemini app responses and receive clicks via grounding. Google aims to support the control, with other AI providers, in 2027. The post is by John Mueller. Distinct from OpenAI’s same-day announcement, which says OpenAI aims to implement its shared signal in the coming months.

Source: Google Search Central

Enterprise ·

OpenAI will honor a shared robots.txt signal for AI training

OpenAI said (Oct 30) it will honor a common robots.txt signal for whether a site’s content may be used in foundational generative AI training. OpenAI says the voluntary signal lets a publisher state one preference for multiple participating providers, instead of maintaining a separate rule for each crawler. OpenAI aims to implement it in the coming months and says it will post implementation details later. The new signal does not replace OpenAI’s existing robots.txt crawler controls, which continue to apply. OpenAI says the work draws on the IETF AI Preferences working group and that it is joining other participants in announcing the shared signal. Distinct from Google’s same-day plan to support a shared policy token in 2027.

Source: OpenAI

Updated October 30, 2026

What I teach: AI Agents, Local Models & AI Workflows

I also build and ship

All projects

The tools behind the tutorials: open source, desktop apps, and production AI with paying users. Most of them started as a livestream.

Open source · 1.6k+ stars

Codex Astra/Luna Orchestrator

Astra or Sol as the orchestrator, Luna for subagents, inside Codex.

Desktop app · v0.7.1

Coworker

Desktop AI coworkers with local or cloud models, skills, memory, and a scheduler.

Open source · TypeScript

Local Evals

Eval app that runs locally against local models or any OpenAI-compatible API.

Open source · TypeScript

Agent Monitor

Local dashboard for Codex, Claude Code, Pi, and Hermes: agent trees, traces, tokens, and cost.

Production SaaS

AI Dream Photo

GenAI photo generation and face cloning, used by paying customers.

AI engineering for businesses

AIBackends

My AI engineering brand: custom AI workflows, integrations, private AI, and production AI systems.

Installer · Docker

GAIA

Runs multiple private Hermes agents on one machine.

Plugin marketplace

Skillsbento

Agent skill plugins for Claude Code and Codex: analytics, research, launches, and shorts.

Open source · Go

Cursor Go SDK

Typed SDK for the Cursor Cloud Agents API with streaming and artifacts.

github.com/donvito
Melvin Vivas at his desk in front of an AI agent architecture diagram

Melvin Vivas

AI Educator, Creator & Builder · Singapore

I teach AI Agents, Local Models, and AI Workflows to people who want to use AI, not just read about it. Before the channel: senior engineering roles at Standard Chartered Bank and Ohmyhome (Nasdaq), then a run of AI products built and shipped end to end. That's why every video, talk, and post is grounded in what actually ships.

  • Livestreams AI builds on YouTube and X
  • Speaker at NTU Singapore, PSIA, and DICT Philippines
  • 300+ trained through workshops and mentoring
  • Open-source maintainer: Codex orchestrator, Local Evals, Agent Monitor
  • 25 years across banking, fintech, and enterprise
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AI product builds & custom agents

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