Meta Delays 'Behemoth' AI Model Release, Raising Questions About AI Development Strategy

11 Sources

Meta has postponed the release of its highly anticipated 'Behemoth' AI model, originally slated for April, to fall or later. This delay highlights challenges in AI development and raises concerns about Meta's competitive position in the AI race.

News article

Meta's 'Behemoth' AI Model Faces Significant Delays

Meta, the tech giant behind Facebook and Instagram, has reportedly pushed back the release of its highly anticipated 'Behemoth' large language model (LLM) until fall or possibly later. This delay, originally reported by The Wall Street Journal, marks a significant setback in Meta's ambitious AI development plans 12.

The Promise of 'Behemoth'

Behemoth was touted as Meta's most powerful AI model yet, with 288 billion active parameters. The company claimed it would outperform competing models from OpenAI, Google, and Anthropic on several STEM benchmarks 3. Meta CEO Mark Zuckerberg had previously described it as "the highest performing base model in the world" 3.

Challenges in Development

According to reports, Meta's engineers are "struggling to significantly improve the capabilities" of the model 3. Internal sources suggest that the improvements over prior versions may not be substantial enough to justify a public release 2. This has led to debates within the company about the model's readiness and effectiveness.

Impact on Meta's AI Strategy

The delay raises questions about Meta's position in the highly competitive AI race:

  1. Competitive disadvantage: The postponement could allow competitors like OpenAI and Google to further advance their models, potentially widening the gap in AI capabilities 12.

  2. Return on investment concerns: Meta has invested heavily in AI development, with plans to spend up to $65 billion on AI infrastructure this year alone. The delay may raise concerns about the company's ability to deliver on these investments 5.

  3. Public perception: The repeated delays and internal doubts about Behemoth's capabilities could impact public and investor confidence in Meta's AI initiatives 4.

Broader Implications for AI Development

Meta's challenges with Behemoth may reflect a broader trend in the AI industry:

  1. Scaling limitations: The difficulties in improving Behemoth's performance over existing models suggest that the strategy of simply making AI models bigger may be reaching its limits 4.

  2. Industry-wide delays: Other major AI companies, including OpenAI and Anthropic, have also faced delays in releasing their next-generation models, indicating that these challenges are not unique to Meta 5.

Meta's Current AI Offerings

Despite the Behemoth delay, Meta has made progress in AI development:

  1. Llama 4: Meta released two smaller Llama 4 models, Scout and Maverick, in April 2.

  2. AI integration: The company has incorporated AI features across its platforms, including Facebook, Instagram, WhatsApp, and Messenger 12.

  3. Standalone AI app: Meta launched a separate Meta AI app at the end of April 1.

As the AI landscape continues to evolve rapidly, the tech industry and investors will be closely watching Meta's next moves in this critical field. The eventual release and performance of Behemoth could have significant implications for Meta's future in the AI race.

Explore today's top stories

Google's AlphaEarth Foundations: AI-Powered 'Virtual Satellite' Revolutionizes Global Mapping

Google DeepMind introduces AlphaEarth Foundations, an AI model that integrates vast amounts of Earth observation data to create a unified digital representation of the planet, offering unprecedented accuracy and efficiency in global mapping and environmental monitoring.

Wired logoThe Verge logoAndroid Police logo

6 Sources

Technology

11 hrs ago

Google's AlphaEarth Foundations: AI-Powered 'Virtual

Google to Sign EU's AI Code of Practice, Highlighting Big Tech Divide on AI Regulation

Google announces its intention to sign the European Union's AI Code of Practice, contrasting with Meta's refusal and highlighting the ongoing debate over AI regulation in the tech industry.

Ars Technica logoTechCrunch logoReuters logo

12 Sources

Policy and Regulation

19 hrs ago

Google to Sign EU's AI Code of Practice, Highlighting Big

Microsoft Soars Past $4 Trillion Market Cap on Strong AI-Driven Earnings

Microsoft's market capitalization surpasses $4 trillion after reporting exceptional quarterly earnings, driven by strong growth in cloud computing and AI services. The company joins Nvidia in the exclusive $4 trillion club, showcasing the impact of AI on tech giants.

CNBC logoFortune logoSiliconANGLE logo

6 Sources

Business and Economy

3 hrs ago

Microsoft Soars Past $4 Trillion Market Cap on Strong

Palo Alto Networks Acquires CyberArk for $25 Billion, Eyeing AI-Driven Cybersecurity Market

Palo Alto Networks announces a $25 billion acquisition of CyberArk, aiming to strengthen its position in identity security and privileged access management, particularly in the face of growing AI-driven cybersecurity threats.

The Register logoReuters logoAxios logo

13 Sources

Business and Economy

19 hrs ago

Palo Alto Networks Acquires CyberArk for $25 Billion,

Arm Shifts Strategy to Develop Own Chips as Smartphone Market Slows

Arm Holdings announces plans to invest in developing its own chips, marking a significant shift from its traditional licensing model. The company's stock falls as its outlook disappoints investors amid slowing smartphone sales.

Reuters logoSiliconANGLE logoEconomic Times logo

7 Sources

Technology

11 hrs ago

Arm Shifts Strategy to Develop Own Chips as Smartphone
TheOutpost.ai

Your Daily Dose of Curated AI News

Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.

© 2025 Triveous Technologies Private Limited
Instagram logo
LinkedIn logo