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Applied AI·September 2, 2026·1 min read

Meta rolls out Muse Spark 1.3 in Muse Code and Meta's API, saying it significantly improves coding and agentic performance, at the same price as its predecessor

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Meta keeping Muse Spark 1.3 at the same price while boosting coding and agentic performance is a margin squeeze signal for every AI infra and tooling vendor. If your product is “LLM + UX,” assume your underlying capability curve is getting better and cheaper every quarter — your moat has to be workflow depth, data, or distribution, not raw model access.

Applied AI

‘If we don’t like it, we’ll kill it. If we love it, we’ll marry it’: We were dreaming about ChatGPT thousands of years before it existed — here's how ancient myths shaped the AI we’re building today

The stories we tell about AI—servant, oracle, monster—quietly set user expectations and risk tolerance before any product spec is written. If you're deploying AI into consumer or employee workflows, align your narrative with the actual failure modes you can manage, not the myth you're unconsciously reenacting.