AIToday
Large Language ModelsYahoo Finance AIPublished: Apr 29, 2026, 07:00 JST1 min read

Meta released Muse Spark, its first large language model from the Superintelligence Lab, as part of a $135 billion capital expenditure plan for the year, up from $72 billion a year ago.

Meta released Muse Spark, its first large language model from the Superintelligence Lab, as part of a $135 billion capital expenditure plan for the year, up from $72 billion a year ago.

3 Key Points

  1. Meta Platforms released Muse Spark, the first large language model from its Superintelligence Lab, earlier this month. The company is spending $135 billion on capital expenditures this year, up from $72 billion a year ago, which includes a $14 billion investment in Scale AI and hiring of Alexander Wang.

  2. Unlike OpenAI, Anthropic, and Google, Meta is building AI models to improve its own products rather than license technology to other companies. The company can fine-tune models for its various applications, including ad recommendations and chatbots for business use on WhatsApp and Messenger.

  3. Improvements in Meta's AI already drove higher engagement and better ad recommendations in 2025, evidenced by ad impressions rising 12% and ad pricing rising 9% simultaneously. Management expects operating income to grow in 2026 despite the massive increase in expenses, suggesting a positive return on investment.

Ask the AI about this article →

Yahoo Finance AIRead Original Article

Get the latest Large Language Models news every morning

For example, today's edition would include:

  • DataAgent launches with $10M to auto-fix Kubernetes faultsSiliconANGLE AI · 2h ago
  • SK Hynix custom HBM boosts inference up to 5.15xDIGITIMES Asia · 2h ago
  • Nvidia Earnings: Boring by Design, Avoiding a Consolidated WorldStratechery (Ben Thompson) · 2h ago

AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.

Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. Q&As are published on this page for other readers too.

Related Articles

Next articleAbout a dozen companies train foundational AI image models from scratch; the rest build products on top of them