This matrix compares the thirteen people-and-publications profiled in this category, row by row, so deciding what to follow does not require reading thirteen notes blind. Everything below was verified against live primary sources on 2026-08-29, re-verified on 2026-08-30, re-verified again on 2026-09-02, when Addy Osmani joined the columns, re-verified on 2026-09-04, re-verified on 2026-09-05 with no cell changes, re-verified on 2026-09-06 with no cell changes, re-verified on 2026-09-07 with no cell changes, re-verified on 2026-09-08 with no cell changes, re-verified on 2026-09-09 with no cell changes, re-verified on 2026-09-10 with no cell changes, and re-verified on 2026-09-12, updating the Osmani enterprise-vantage cell after his departure from Google, and re-verified on 2026-09-13, correcting the Yegge primary-platform cell to his yegge.ai site and the AI Jason cadence to two to three videos a month.
The axis that actually segments the field is what each voice gives you: hands-on tool practice, an evaluation method, the model-and-research layer, industry-and-org analysis, or a structured on-ramp, and the personalities span all five, with the hands-on band now split between indie operators and the enterprise vantage.
Legend: each cell reads as a description; every cell traces to the linked member note and its references.
The matrix #
| Row | Addy Osmani | AI Jason | Andrej Karpathy | Andrew Ng | Caleb Writes Code | Chip Huyen | Hamel Husain | Latent Space | Lilian Weng | Nathan Lambert | Simon Willison | Steve Yegge | The Pragmatic Engineer |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary platform | Blog + books + repos | YouTube | Essays + talks | Newsletter + courses | YouTube channel | Site + books | Blog + Substack | Substack + podcast + conferences | Blog (Lil’Log) | Substack + site | Daily blog + TIL | Blog (yegge.ai) + essays | Newsletter + podcast |
| Cadence | Periodic essays | Two to three videos a month | Low, periodic | Weekly newsletter | About twice a week | Books + periodic essays | Monthly-ish long posts | Weekly newsletter, daily AINews | Low, irregular | High, multiple a week | Daily, multiple posts | Sporadic + shipped code | Weekly issue |
| Focus | Enterprise agentic engineering, verification discipline, code quality | Agent workflows and context engineering | Conceptual vocabulary, frontier research | Education, agentic patterns, overview | Model releases and agentic-engineering explainers | AI systems design, production | Evaluation and data-driven improvement | Industry, labs, interviews, trends | Research surveys (agents, alignment) | Models, post-training, open ecosystem | Hands-on tools and agent practice | Agent-era thesis and builds | Org design, hiring, adoption data |
| Media format | Text + books | Video | Text + video talks | Newsletter + video courses | Video | Text + books | Text | Newsletter + audio + events | Text | Text + podcast | Text | Text | Newsletter + audio |
| Depth vs breadth | Leader-plus-practitioner depth, enterprise scope | Broad, execution-level, shallow | Conceptual framing | Broad on-ramp, shallow | Broad, current, explainer depth | Broad systems survey | Deep on evals, narrow scope | Broad industry synthesis | Deep references, broad | Deep on post-training | Dense and deep on tools | Provocative theses | Org-level, broad |
| Builds tools | Yes (agent-skills repo) | Yes (production agents) | Yes (nanoGPT, AutoResearch) | No (platform) | No | Micro tools | Some (evals tooling) | Indexes, does not build harnesses | No | Yes (OLMo, RL tools) | Yes (LLM, Datasette) | Yes (Gas Town, beads) | No |
| Evaluation and verification | High, verification-first | Light, practical | High on his own terms | Skills map, moderate | Light, explainer-level | Systems-level | Central, the whole method | Moderate, evangelistic on brand | Research rigor on limits | RewardBench, comparisons | Security-critical, tests agents | Thematic, needs cross-check | Empirical data, surveys |
| Model and research layer | Light | Light | Central | Moderate | Strong release coverage, light research depth | Moderate | Applied, light research | Strong | Central | Central | Tool and model churn, light research | Moderate | Moderate |
| Commercial model | Free blog, paid books (one free online edition) | Free + paid community and sponsors | Free | Free + paid courses | Ad and sponsor-funded, plus Patreon | Free + paid books | Free + paid course and consulting | Freemium + conference tickets | Free | Free + reader-supported + book | Free, sponsor-funded | Free | Freemium, paywalled core |
| Reader slot | Enterprise lead and practitioner | Video practitioner | Vocabulary-setter | Educator, general AI reader | Release-tracking video viewer | Systems and architecture reader | Data-centric eval practitioner | Industry and community view | Research reference reader | Model and research reader | Practitioner daily signal | Provocateur builder | Engineering leader |
| Enterprise vs frontier | Enterprise, from 14 years inside Google | Individual and startup | Frontier labs | General audience + enterprises | Individual learners and practitioners | Production teams | Applied AI in companies | Frontier labs and AI-native startups | Frontier labs | Frontier labs + open models | Open, local, practitioner | Individual and teams | Established-company orgs |
| Skepticism | Moderate, with an evangelist’s vantage | Moderate, tool-hype risk | High on his own terms | Low, optimistic | Moderate, sponsor-dense | Moderate, balanced | High, evidence-based | Moderate, evangelistic on brand | High on her own terms | Sharp about hype in his domain | High, security-critical | Provocative, needs cross-check | High, empirical |
Reading the matrix #
I read this table by columns, matching a reader slot rather than a source. Nobody covers all five focus bands well, which is the argument for following several: pick a practitioner, an evaluation voice, a model-layer reader, an industry voice, and an educator.
The hands-on cluster now spans text, eval-discipline, two distinct video modes, and the enterprise vantage: Simon Willison is the reliable daily text chronicler, AI Jason builds complete workflows on camera, Caleb Writes Code explains each release and agentic concept at news speed, Hamel Husain supplies the data-driven method for deciding whether those workflows work, Steve Yegge remains the provocative thesis-builder who ships what he declares, and Addy Osmani reports the same practice from his 14 years inside a hyperscaler, holding agent output to a production quality bar.
The model-and-research layer is now its own band: Lilian Weng writes the durable research references, Nathan Lambert tracks the current post-training and open-model state from inside the labs, and Andrej Karpathy sets the conceptual vocabulary they all operate inside.
The systems-and-education band fills the gap the seed explicitly named: Chip Huyen gives the production systems survey, Andrew Ng supplies the structured on-ramp and mainstream vocabulary, and together they serve the engineer who wants breadth before depth.
Latent Space and The Pragmatic Engineer remain the two industry synthesizers, split by audience: Latent Space points at the frontier labs and the AI-native startups, The Pragmatic Engineer points at established engineering organizations, so your employer’s profile picks your primary.
The enterprise-hands-on gap the seed named is now filled, with one boundary drawn: Addy Osmani is the sustained enterprise-hands-on voice, but he writes from 14 years inside Google, an AI company, with leader-level rather than terminal-level detail, so the still-empty scaffold is the low-drama, everyday terminal operator inside a large non-AI company.
Choosing from the matrix #
- Need daily, hands-on signal on tools and models: Simon Willison.
- Run agent adoption inside an established company and want enterprise-grounded practice: Addy Osmani.
- Ship an AI product and cannot tell if it works: Hamel Husain.
- Learn agent workflows best by watching: AI Jason.
- Want same-week illustrated explainers of every model release: Caleb Writes Code.
- Want a sharp, opinionated thesis and are willing to cross-check: Steve Yegge.
- Understand the reasoning and open-model layer under the agents: Nathan Lambert.
- Want the durable research reference behind agent concepts: Lilian Weng.
- Want the conceptual framing behind the churn: Andrej Karpathy.
- Want one structured overview of building LLM applications: Chip Huyen.
- Need the industry, lab, and community view plus events: Latent Space.
- Lead an engineering org adopting agents and want data: The Pragmatic Engineer.
- Are new to AI engineering and want a structured path: Andrew Ng.
Changes #
- 2026-08-29 - Created with five columns segmented on the focus axis, naming the empty enterprise-hands-on cell as scaffold for a future member.
- 2026-08-29 - Extended from five to eleven columns, re-segmenting the thesis onto five focus bands and filling all reader-slot rows.
- 2026-08-29 - Extended to twelve columns, adding the Caleb Writes Code column and a release-explainer choosing bullet.
- 2026-09-02 - Extended to thirteen columns, adding Addy Osmani and filling the enterprise-hands-on scaffold cell.
- 2026-09-13 - Corrected the Yegge primary-platform cell to his yegge.ai site (165 essays there, Substack carrying no published posts) and aligned the AI Jason cadence cell to two to three videos a month.
See also #
- Agentic Coding Tools Landscape - the tool landscape these voices report on and steer
- Simon Willison - the practitioner column in detail
- Hamel Husain - the evaluation method that verifies practitioner claims
- Nathan Lambert - the model and open-ecosystem layer in detail
- Managing Many Concurrent LLM Agent Sessions - the supervision subject several of these voices write about
References #
https://simonwillison.net/ - cadence, focus, and hands-on grounding for the Willison column
https://addyosmani.com/ - the enterprise-hands-on agentic-engineering focus grounding the Osmani column
https://hamel.dev/ - the evals focus grounding the Husain column
https://www.youtube.com/@AIJasonZ - platform and video focus for the AI Jason column
https://www.interconnects.ai/ - model and post-training focus for the Lambert column
https://lilianweng.github.io/ - the research-reference focus for the Weng column
https://karpathy.bearblog.dev/sequoia-ascent-2026/ - the Software 3.0 essay grounding the Karpathy column
https://huyenchip.com/ - the systems-survey focus grounding the Huyen column
https://www.latent.space/ - platform, subscribers, and conference for the Latent Space column
https://newsletter.pragmaticengineer.com/ - cadence, paywall, and org focus for the Pragmatic Engineer column
https://www.deeplearning.ai/the-batch - the education and newsletter focus for the Ng column