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
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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.
Meta AI Research released (Oct 15) Muse Spark Open, which it calls the most capable US open-weight model to date: a natively multimodal mixture-of-experts model with 816 billion total parameters, 42 billion active, and a 1 million-token context window, aimed at coding, long-horizon work, and multi-step reasoning. Weights are on Hugging Face, Amazon SageMaker, Google Cloud Model Garden, and Microsoft Foundry, with hosted inference at Baseten, Fireworks, Groq, Modal, Nebius, OpenRouter, and Together. Meta says it is the first model in its class to run on a desktop using two Apple M5 Ultra Mac Studios (512 GB unified memory each) or four with 256 GB, via MLX 0.30.1, an NVFP4 checkpoint, and Thunderbolt 5 RDMA on macOS 26.2 or later. On-device tests included Muse Code shipping iOS changes to the Ice Cubes Mastodon client and editing in DaVinci Resolve. The license is the Muse Model License with limited commercial terms. Meta says extra safety post-training met its Superintelligence Scaling Framework release thresholds; the model card has the results and a fuller report is still coming. Distinct from the Oct 12 Muse Wonder launch and from the Oct 14 health-manuscript post that used Muse Spark 1.3.
Anthropic announced (Oct 15) that it has started giving employee-like access to six people from METR, the nonprofit that evaluates frontier models. They get company hardware, office space, and internal tools roughly on par with Anthropic’s own risk teams. Staff are encouraged to share alignment-risk information with them, except narrow categories such as customer data, attorney-client material, and model-architecture details (architecture can still be shared with explicit approval when it matters to a risk assessment). METR will publish its analysis of risk levels, incidents, and practices. Anthropic cannot veto publication, but it can require redactions in those predefined categories; METR may say publicly whether it thinks a redaction was justified, without revealing the redacted material. Other METR staff are siloed from the embedded team. Anthropic describes three access tiers: scoped investigations that need approval to publish (SecureBio is here, reviewing the chemical and biological weapons chapter of the August Risk Report), broader access with publication rights plus category redactions, and the METR tier of employee-like access. Accenture and Faculty are an earlier-stage red-team and alignment partnership. Anthropic says the embedding is voluntary and that other frontier labs should do the same. Distinct from the Oct 13 report that both labs sought editorial control over outside reviewers, and from the September Accenture embedded-evaluator announcement.
Reuters reported (Oct 15) that some current Anthropic investors and prospective IPO investors are weighing a lower valuation after the company’s latest financial disclosures, four people familiar with the matter said, citing the rising cost of financing AI. At a Wednesday pre-IPO meeting, Anthropic told prospective investors that third-quarter revenue jumped 45% to $16.8 billion, from $11.6 billion in the second quarter and $4.7 billion in the first, and that it was profitable on an adjusted basis in the third quarter. The same people said some investors were disappointed that sequential growth slowed: second-quarter revenue had more than doubled from the first quarter. The Financial Times first reported the third-quarter revenue figure on Wednesday. Anthropic did not comment in the Reuters account. Distinct from the Oct 14 Singapore office opening and from earlier Anthropic IPO timing reports.
Source: Reuters
Updated October 15, 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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