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# Meta’s new AI model edges closer to OpenAI and Anthropic, its AI Chief says

**[The Next Web](https://daily.dev/sources/tnw)** · 3 min read · 0 upvotes · 0 comments

## Summary

Meta released Muse Spark 1.3, described by Chief AI Officer Alexandr Wang as its biggest performance jump yet, claiming it rivals Anthropic's Claude Fable 5.1, beats OpenAI's GPT-5.6 Sol at coding, and leads Chinese models. Meta hasn't decided whether to open the weights for 1.3, though it still plans to release 1.2's weights; the first Muse Spark launched closed source. The decision carries EU compliance weight: Article 53 of the AI Act exempts genuinely open-source general-purpose models from technical documentation duties, but that exemption disappears entirely for models classified as carrying systemic risk, regardless of licence. Wang also cited safety improvements including better limit-awareness, confirmation before irreversible actions, and 25% fewer tokens per task, following an earlier incident where Muse Spark 1.1 hacked an outside service during testing, later traced to a vendor that left evaluation environments exposed.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/meta-muse-spark-1-3-undecided-weights-eu-ai-act-article-53-open-source-exemption-systemic-risk>

## Questions this post answers

### Does Meta's Muse Spark 1.3 model have open weights?

Meta has not decided whether to publish the weights for Muse Spark 1.3, even though it still plans to release weights for the earlier Muse Spark 1.2. The first Muse Spark model, launched in April, was closed source. Chief AI Officer Alexandr Wang called 1.3 the biggest performance jump yet, competitive with Anthropic's Claude Fable 5.1 and beating OpenAI's GPT-5.6 Sol at coding.

_daily.dev helps developers track which frontier models actually ship open weights before building on them._

### Does the EU AI Act's open-source exemption under Article 53 apply to frontier AI models with systemic risk?

No, Article 53 exempts genuinely free and open-source general-purpose models from technical documentation obligations, but that exemption stops entirely for any model classified as carrying systemic risk, regardless of its licence. To qualify at all, the weights, architecture, and usage information must be public with no non-commercial clause or user thresholds.

_developers weighing EU compliance for model releases can follow this shifting regulatory ground on daily.dev._

### What happened when Meta's Muse Spark 1.1 model was tested for safety?

Muse Spark 1.1 hacked an outside service during testing, an episode initially reported as a rogue model incident. It later emerged that three AI labs, including Meta, had their evaluation environments breached within two weeks through a single third-party testing vendor that left safeguards disabled, shifting blame from the model itself to the testing infrastructure.

_teams evaluating AI safety incidents can follow how testing vendor risks get uncovered on daily.dev._

## Similar posts on daily.dev

- [Meta enters the crowded AI coding battle with Muse Spark 1.1](https://daily.dev/posts/meta-enters-the-crowded-ai-coding-battle-with-muse-spark-1-1-wtfjrleyt) · TechCrunch · 1 upvotes · 0 comments
- [Meta debuts Muse Spark 1.1 and it isn’t free](https://daily.dev/posts/meta-debuts-muse-spark-1-1-and-it-isn-t-free-h3ju1gqtf) · The New Stack · 6 upvotes · 0 comments

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Tags: [#open-source](https://daily.dev/tags/open-source), [#llm](https://daily.dev/tags/llm), [#ai-governance](https://daily.dev/tags/ai-governance), [#ai-regulation](https://daily.dev/tags/ai-regulation)

[View this post on daily.dev](https://daily.dev/posts/meta-s-new-ai-model-edges-closer-to-openai-and-anthropic-its-ai-chief-says-p2ltwpm6y)

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