Sean Kerner

Sean Michael Kerner's Spring 2023 Human Writer certificate authory.com/SeanMichaelKer… That's write I'm human. I write about #AI. Skynet hasn't won (yet).

We’re committing $10 million CAD and partnering with leading AI institutions in Canada to help fund new AI research. anthropic.com/news/canadian-…

57% of enterprises have watched AI agents be confidently wrong. The fix is an agentic context layer, but who has one? zurl.co/xqltW @VentureBeat @TechJournalist "Whoever controls runtime context controls the AI decision layer for enterprise data." - @MikeNi

@Rosebud_AI @Erling @ElevenLabs How? This looks insanely polished. How many prompt and how much time did this take to build?

@Erling would love this. Music and SFX are at the center of this football game. Made entirely on @Rosebud_AI with the new @ElevenLabs API integration for audio.

Anyone who remotely is plugged into their health knows that the numbers don’t always reflect how you feel. This is especially true for sleep. Sleep is a 2-3 day additive exercise not one night. (Of course getting no or 1-3 hours is immediate.)

It's an #AI web, and we're just rats in the walls. theregister.com/columnists/202… via @TheRegister & @sjvn Bots, not people, are now the ones who "create" and use the Internet the most.

57% of enterprises have watched AI agents be confidently wrong. The fix is an agentic context layer, but who has one? @VentureBeat" target="_blank" rel="nofollow noopener">bit.ly/4gBjmJW@Ventur… @TechJournalist "Whoever controls runtime context controls the AI decision layer for enterprise data." - @MikeNi @constellationr

there are a lot of benchmarks that suggest 5.6 sol is the best model in the world right now, but the most reliable way to tell is that elon is obsessed with me again

We're extending Claude Fable 5 access on all paid plans, as well as keeping Claude Code’s weekly rate limits 50% higher, through July 19.

We comprehensively benchmarked GPT-5.6 on document understanding. At a high-level there's no change between GPT-5.6 Sol and GPT-5.5 in terms of performance over tables, text, charts, layout, and more. The GPT-class of models typically does quite well over table understanding, but they struggle with transcribing complex text layouts and formatting, with transcribing charts, and with deriving bounding boxes over source elements. Come check out our leaderboard of over 70+ frontier models, open-weight models, and OCR solutions on ParseBench: parsebench.ai

If you dont know, you can use your Codex subscription inside Claude Code. That means Fable 5 can call GPT 5.5 + 10 subagents to work together. This will save you atleast 60% of your Fable 5 token consumption. You just need to setup once. Here's how: Step 1: Open Claude Code and install the Codex plugin /plugin marketplace add openai/codex-plugin-cc /plugin install codex@openai-codex /reload-plugins Step 2: Tell Fable 5 to finish the setup Paste this prompt: "Set up Codex inside this Claude Code environment. Use the official OpenAI Codex plugin that was just installed. Run /codex:setup. If Codex CLI is missing, install it. If Codex is installed but not authenticated, ask me to authenticate with my ChatGPT account. After auth is complete, verify that Codex works from inside Claude Code. Then confirm that the codex:codex-rescue sub-agent is available. Do not change any project code during setup." Step 3: Authentication Fable 5 will trigger the Codex setup. You authenticate your ChatGPT/Codex account once. After that, Codex runs from inside Claude Code using your Codex subscription. Step 4: Tell Fable 5 how to delegate work Paste this prompt: "From now on, use this workflow: You are the orchestrator. > Use Fable 5 for planning, repo understanding, architecture decisions, task decomposition, and final review. > Use codex-rescue as the executor when a task needs heavy implementation, debugging, test fixing, refactoring, or multi-file code edits. When delegating to Codex, use /codex:rescue. Prefer GPT 5.5 (xtra high) as the go to Codex model. Keep Codex tasks focused and specific. After Codex finishes, inspect the result yourself before accepting it. Do not blindly trust Codex output." Pro Tips: 1. Turn this into a skill (i named it Fable-GPT) and call that skill at the start of the session. 2. Use skill + goal to get the heavy tasks done. Goals are best for long horizon tasks. 3. If you're on Codex 20x pro plan, you can use subagents. I use 5-7 agents at one time and never hit 5-hour limit. 4. Context rot is real so clear the conversation after 4 compactions. Use /handoff skill to preserve context.

I had early access to 5.6/Sol for ~month. Sol is my default. It is faster, plans/judges just as good as Fable, and I think produces better overall work. I’ll reach for Fable still for highly targeted debug or performance work with clear reward functions. A cheeky way I describe Sol vs Fable to my friends is that Sol is a charismatic, efficient, talented coworker you’re jealous of. Fable is a genius recluse that is brilliant at its fixations but doesn’t go out, doesn’t date, and you don’t want to hang out with them much lol. Fable is undefeated at highly targeted debug/security/performance goals. It’s a sight to behold and I was never able to get Sol to push as hard in this category. I’ll keep using it for this. Sol is better or comparable at everything else, in my experience. Give it a shot, it’s hard to describe but it’s just more enjoyable to work with. (Disclaimer I have no financial ties to either lab, wasn’t paid for any of this.)

Enjoy more Fable!

This is the greatest thing since sliced bread

@ashtom @EntireHQ

42 is the answer to everything. This is @EntireHQ’s answer to Git in the era of agents: fast, independent, distributed. Mirror your GitHub repos, let your agents clone and pull from the region(s) of your choice, and…we're open sourcing it. 🤖

📣 The moment is here. 📣 TypeScript 7 is officially released! 7️⃣ devblogs.microsoft.com/typescript/ann…

We’re opening ElevenLabs Canada 🇨🇦! Come join us - we’re building an incredible team here.

Fable is extremely good at writing original NES games in assembly. Here it designed an original game graphics, soundtrack, everything from scratch, and it'd actually run within the constraints of a real cartridge. Wild.

Somewhat humbling to have Claude Fable do a final review of some software that you're about to release and have it then find (and fix) FIVE release blockers, for an estimated (unsubsidized) cost of $149.25 simonwillison.net/2026/Jul/5/sql…

This is insanely good

Similar to what I've done for a lot of development. I also frequently have them cross-review plans or search for bugs in parallel. I can easily get different agents that see each other's state in one Omnigent session.