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Meta delays ‘Behemoth’ AI model, handing OpenAI and Google even more of a head start

Final month, Meta hosted its first generative AI developer convention, LlamaCon, the place it deliberate to launch the “Behemoth” giant language mannequin. As a substitute, the corporate pushed the discharge to June, and now, a brand new report suggests it’d slip additional — to the autumn or later.

In keeping with The Wall Road Journal, Meta engineers are “struggling to considerably enhance the capabilities” of Behemoth. That is particularly attention-grabbing provided that, simply weeks in the past, Meta claimed Behemoth continues to be in coaching and but already “outperforms” all main opponents — together with GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Professional — on a number of STEM benchmarks.

Issues are brewing

Giant language fashions (LLMs) energy AI chatbots comparable to ChatGPT, Gemini, and Meta AI, processing prompts on the fly and producing human-like textual content in response. Behemoth was billed as Meta’s “strongest but” LLM — “one of many smartest on this planet” — and meant to function a “instructor” for future fashions. That is the general public story; internally, issues are brewing.

Inside Meta, engineers reportedly fear that Behemoth doesn’t supply sufficient of an enchancment over present fashions to “justify” a public launch. Have in mind: Meta launched Llama 4 in April. (Llama, brief for Giant Language Mannequin Meta AI, is Meta’s household of LLMs.) To this point, two smaller Llama 4 variants, Scout and Maverick, can be found, and Meta has teased one other light-weight model.

ZDNET requested a remark from Meta and can replace this text if a consultant responds.

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The AI race is actual

Meta integrates AI options throughout Fb, Instagram, WhatsApp, and Messenger, letting you do issues like draft posts and captions, customise chat backgrounds, and even edit pictures. On the finish of April, the corporate additionally rolled out a standalone Meta AI app. However the continued delay of Behemoth underscores the problem Meta nonetheless faces in retaining tempo with OpenAI and Google.

In the end, opponents are delivery new releases at breakneck pace, whereas Meta nonetheless seems to be refining and coaching an LLM it already introduced — and has now repeatedly delayed.

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