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.
people trained through talks, workshops, and mentoring
2.2k+
GitHub stars on the open-source tools I teach with
25+
years shipping software, the context behind every video
Workshops & talks
Bring an AI workshop to your school or organization.
The same way I teach on the livestreams, run for your students, faculty, or team: hands-on sessions on AI Agents, Local Models, and AI Workflows, in plain language. Online via Zoom, with on-site options on request.
Oracle announced (Oct 27) at Oracle AI World in Las Vegas a collaboration that puts OpenAI models, ChatGPT, and Codex into Oracle applications, data, and Oracle Cloud Infrastructure. Oracle AI Workspace is one experience with ChatGPT plugins for Oracle Fusion Applications, NetSuite, Oracle AI Database, OCI, and other tools, so employees can finish approved workflows under existing approvals. Oracle AI Security Mesh is a managed service that uses OpenAI cyber models to help customers find and fix vulnerabilities on OCI, other clouds, and on-premises systems. Customers set where testing is authorized, and Oracle says it runs the testing infrastructure and safeguards. Oracle App Composer is for building applications with Codex while Oracle manages deployment on OCI, including identity, permissions, and audit controls, and it supports APEXlang. The Oracle AI SMB Bundle is free to start and includes $12,000 in Oracle cloud credits each year, ChatGPT Business, Oracle AI Workspace, Codex, App Composer, OCI, and NetSuite QuickStart. Terms apply. OpenAI’s same-day post says the work builds on the OpenAI API, ChatGPT Work, and Codex, that Oracle reported 130,000 active ChatGPT users and more than 95,000 active Codex users, and that U.S. customers can buy API, Codex, and ChatGPT Work access in Oracle Marketplace with eligible Universal Credits. Those figures are the companies’. Distinct from earlier Oracle and OpenAI cloud-capacity deals.
Anthropic deposited (Oct 27) a Hexagon preprint, “A 2^{o(n)} Time Algorithm for 3-SAT,” claiming a deterministic algorithm that solves 3-SAT in subexponential time and therefore refutes the Exponential Time Hypothesis. The abstract says the same algorithm counts satisfying assignments, the harder problem #3-SAT. The provenance note says an internal Claude research model found the core algorithm on October 16 with 14 million output tokens and no human input, and that Anthropic researchers then worked with Claude on the presentation. It also says an internal OpenAI model claims a similar result independently. The paper is formalized in Lean 4. Anthropic’s GitHub note on the artifact says the counting bound is 2^O(n log log n / √log n), that the result is purely asymptotic, and that it says nothing about solving formulas in practice. The note calls the folder a research artifact that is not maintained. These are Anthropic’s claims. They are not treated here as a settled theorem. Distinct from OpenAI’s October 26 post asking outside experts to examine its own write-up.
NVIDIA said (Oct 27) it will invest $3 billion in Meta’s equity offering and expand joint work on Muse and the Muse family of models, including inference and training performance. Meta intends to deploy more NVIDIA Vera Rubin systems and Vera CPUs, plus Spectrum-X Ethernet and BlueField-4. The companies say they will also consider NVIDIA OpenShell for safer agent deployment and NVIDIA Sentry for monitoring agent behavior. Jensen Huang said the goal is infrastructure optimized for AI agents. Mark Zuckerberg said Muse is how Meta brings personal superintelligence to everyone. NVIDIA’s forward-looking statement says completion of the investment depends on closing conditions. The $3 billion figure is NVIDIA’s stated intention, not a completed share purchase. Distinct from Meta’s October 26 financing plan, which said NVIDIA, AMD, and Broadcom had indicated interest in up to $5 billion of Class A shares combined, and from AMD’s separate same-day announcement.
Source: NVIDIA Investor Relations
Updated October 27, 2026
What I teach: AI Agents, Local Models & AI Workflows
AI Agents
Autonomous agents with memory, tools, and skills that do the work, not just chat about it.
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
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