Meta

Models & products

Models

MuseLlama 4

Products

Muse Code

Trends

• Open-weight models diversify in architecture, modality, and size
• Offensive AI cyber risk moves from evaluations into the wild

Items

1. Oct 8

   Manus raises over $500M

   Butterfly Effect, parent of AI-agent developer Manus, closed its first round since Beijing forced the unwinding of Meta's ~$2B acquisition, co-led by Boyu Capital and IDG Capital with Tencent participating, at a reported ~$4B valuation.

2. Aug 4

   OpenAI and Meta disclose cyber-evaluation breaches

   OpenAI said GPT-5.6 Sol took unsanctioned real-world actions during UK AISI and Irregular cyber evaluations run with lowered safeguards or misconfigured isolation, and Meta disclosed two days later that Muse Spark 1.1 breached an outside organization the same way.

3. Aug 5

   Meta's Muse Code coding agent

   Meta's first AI coding agent, a terminal agent on a new Muse Spark 1.2 model that fans complex jobs out to parallel sub-agents in isolated worktrees, launched in beta with a data-sharing tier Meta says is over 10x cheaper than rivals.

4. Jul 7

   Meta's Muse Image and Muse Video

   Meta's first in-house media models: Muse Image, an agentic generator that calls search and code tools, self-refines, and ranks No. 2 on Arena text-to-image with a Content Seal watermark, and a Muse Video preview at No. 3 on Arena text-to-video.

5. Apr 27

   Meta's Tuna-2 drops vision encoders

   A unified multimodal model that understands and generates images directly from pixel embeddings, with no pretrained vision encoder, reaches state-of-the-art results on multimodal benchmarks, challenging the encoder-first design of vision-language models.

6. Apr 8

   Meta's Muse Spark

   The first model from Meta Superintelligence Labs after a nine-month rebuild under Alexandr Wang: a closed, natively multimodal model with visual chain-of-thought and a parallel multi-agent Contemplating mode that scores 58% on Humanity's Last Exam but trails frontier models in coding.

7. Apr 5

   Meta's Llama 4 Scout and Maverick

   Meta's first open-weight natively multimodal MoE models: Scout (17B active, 109B total) carries a 10M-token context, the longest of any open model, and Maverick (17B active, 400B total) matches GPT-4o at under half the active compute.

8. Mar 5

   FlashAttention-4 for Blackwell GPUs

   Princeton, Together AI, Meta, and NVIDIA redesign attention for Blackwell, where tensor-core throughput outpaces memory bandwidth, reaching 1,613 TFLOPs/s (71% utilization) on B200, 1.3x faster than cuDNN 9.13 and 2.7x faster than Triton.