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AI's next frontier: Beyond transformers to Mamba and JEPA models

By PulseAugur Editorial · [1 sources] ·

The current era of large language models, dominated by transformer architectures, is encountering significant limitations in terms of computational resources, data availability, and energy consumption. Future advancements in AI may pivot towards alternative architectures such as state space models like Mamba, diffusion language models, and JEPA world models, which could offer more efficient and scalable solutions. AI

IMPACT Explores potential shifts in AI architecture, suggesting new models like Mamba could overcome current transformer limitations.

RANK_REASON The item discusses potential future AI architectures and limitations of current ones, fitting the commentary bucket.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI's next frontier: Beyond transformers to Mamba and JEPA models

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4 / 100
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Commentary
The item discusses potential future AI architectures and limitations of current ones, fitting the commentary bucket.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Transformers are hitting walls in compute, data, and energy. State space models (Mamba), diffusion language models, and JEPA world models may come next. # AI #

    Transformers are hitting walls in compute, data, and energy. State space models (Mamba), diffusion language models, and JEPA world models may come next. # AI # LLM # Architecture # DeepLearning https://www. glukhov.org/ai-models/architec tures/what-comes-after-llms/

    LINKS glukhov.org/…/what-comes-after-llms

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