Meta Delays 'Behemoth' AI Model Release, Raising Questions About AI Development Strategy
11 Sources
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Meta Reportedly Delays 'Behemoth' AI Model: What This Could Mean for Its AI Tools
I've been covering technology and mobile for 12 years, first as a telecommunications reporter and assistant editor at ZDNet in Australia, then as CNET's West Coast head of breaking news, and now in the Thought Leadership team. Meta reportedly has pushed back the release of its Behemoth large
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Meta delays 'Behemoth' AI model, handing OpenAI and Google even more of a head start
Last month, Meta hosted its first generative AI developer conference, LlamaCon, where it planned to release the "Behemoth" large language model. Instead, the company pushed the release to June, and now, a new report suggests it might slip further -- to the fall or later. Large language models
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Meta's 'Behemoth' Llama 4 model might still be months away
The company's engineers are "struggling" to make improvements, according to a new report. Last month, Meta , its first ever generative AI conference. But while the event delivered some notable improvements for developers, it also felt a bit underwhelming considering how important AI is to the
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Meta delays "Behemoth" AI model release, per report
Why it matters: It's another indicator that the AI industry's scaling strategy -- "just make everything bigger" -- could be hitting a wall. Driving the news: The Journal says that Behemoth is now expected to be released in the fall or even later. It was originally scheduled to coincide with Meta's
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It looks like Meta just hit a big AI roadblock
Meta (META-2.36%) reportedly has delayed the release of its latest artificial intelligence model, known internally as "Behemoth," raising concerns among employees about the effectiveness and direction of the company's massive AI investments. Engineers have struggled to improve the large-language
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Meta to postpone release of Llama 4 Behemoth model, report claims - SiliconANGLE
Meta to postpone release of Llama 4 Behemoth model, report claims Meta Platforms Inc. is likely to delay the release of its upcoming Llama 4 Behemoth artificial intelligence model, in a move that could have serious implications for the broader AI industry. In an exclusive report, the Wall Street
[7]
Meta Is Delaying the Launch of Its 'Behemoth' AI Model, Report Says
Meta (META) is reportedly pushing back the launch of its "Behemoth" AI model amid concerns about whether enough improvements have been made compared to previous iterations. The Facebook parent had originally planned to roll out the new version of its Llama 4 large language model in April, in
[8]
Meta Delays Release of Its 'Behemoth' AI Model: Report
Meta Platforms is delaying the release of its flagship "Behemoth" AI model due to concerns about its capabilities, the Wall Street Journal reported on Thursday, citing people familiar with the matter. Company engineers are struggling to significantly improve the capabilities of its Behemoth
[9]
Report: Meta Delays Rollout of Behemoth AI Model Amid Performance Concerns | PYMNTS.com
Meta reportedly delayed the rollout of its flagship artificial intelligence model called Behemoth. The company internally planned to release Behemoth in April, later pushed the release date to June, and has now delayed the launch at least until fall, The Wall Street Journal reported Thursday (May
[10]
Meta Delays 'Behemoth' AI Model; Business Impact May Be Muted | PYMNTS.com
Slower AI breakthroughs industrywide suggest scaling laws may be hitting limits. Meta reportedly is postponing the release of the largest version of its open-source Llama 4 artificial intelligence (AI) model from summer to fall at the earliest. Called "Behemoth," the multimodal model is not
[11]
Meta delays release of flagship 'Behemoth' AI model as engineers...
Mark Zuckerberg's Meta Platforms is delaying the release of its flagship "Behemoth" AI model due to concerns about its capabilities, the Wall Street Journal reported Thursday, citing people familiar with the matter. Company engineers are struggling to significantly improve the capabilities of its
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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.
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
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.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
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. 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
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. Internal sources suggest that the improvements over prior versions may not be substantial enough to justify a public release2
. 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:
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Competitive disadvantage: The postponement could allow competitors like OpenAI and Google to further advance their models, potentially widening the gap in AI capabilities
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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
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Public perception: The repeated delays and internal doubts about Behemoth's capabilities could impact public and investor confidence in Meta's AI initiatives
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Broader Implications for AI Development
Meta's challenges with Behemoth may reflect a broader trend in the AI industry:
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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
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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
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Meta's Current AI Offerings
Despite the Behemoth delay, Meta has made progress in AI development:
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Llama 4: Meta released two smaller Llama 4 models, Scout and Maverick, in April
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AI integration: The company has incorporated AI features across its platforms, including Facebook, Instagram, WhatsApp, and Messenger
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Standalone AI app: Meta launched a separate Meta AI app at the end of April
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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.
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