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#continuallearning — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #continuallearning, aggregated by home.social.

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  1. Demonstrating "Catastrophic Forgetting" in neural networks with 1-D function approximation #AI #ContinualLearning

  2. Demonstrating "Catastrophic Forgetting" in neural networks with 1-D function approximation #AI #ContinualLearning

  3. New research shows Nested Learning’s Continuum Memory System lets AI bridge short‑term cues and long‑term understanding, building richer world models without catastrophic forgetting. A leap for continual learning and open‑source AI. Dive in! #NestedLearning #ContinuumMemory #ContinualLearning #WorldModels

    🔗 aidailypost.com/news/nested-le

  4. Ease your way into Problem Solving ~ Beginning with these: 3 Simple Strategies ~

    ✅ Stay Positive: Focus on what you can control.
    ✅ Break It Down: Into small, manageable parts & tackle one at a time.
    ✅ Seek Support: Ask for help or advice.

    Every problem has a solution with time & belief that you can do it. 💪
    👉 Join Here buff.ly/3Toypds
    #ProblemSolving #StayingPositive #SelfBelief #ContinualLearning

  5. As leading labs hit diminishing returns from scale and fine-tuning, attention is shifting toward continual learning—models that keep learning after deployment rather than relying on static training cut-offs. #ArtificialIntelligence #ContinualLearning #AGI

    AI Leaders Eye New Breakthroug...

  6. AI Leaders Eye New Breakthrough to Build More Powerful Models

    As leading labs hit diminishing returns from scale and fine-tuning, attention is shifting toward continual learning—models that keep learning after deployment rather than relying on static training cut-offs. The debate highlights a structural limit of current AI systems and why new architectures may matter more than incremental gains.
    #ArtificialIntelligence #ContinualLearning #AGI
    bloomberg.com/news/newsletters

  7. AI Leaders Eye New Breakthrough to Build More Powerful Models

    As leading labs hit diminishing returns from scale and fine-tuning, attention is shifting toward continual learning—models that keep learning after deployment rather than relying on static training cut-offs. The debate highlights a structural limit of current AI systems and why new architectures may matter more than incremental gains.
    #ArtificialIntelligence #ContinualLearning #AGI
    bloomberg.com/news/newsletters

  8. Continual learning feels key for truly adaptive AI. Interesting take on memory layers + avoiding catastrophic forgetting. Worth a read if you think beyond static models.

    🔗 jessylin.com/2025/10/20/contin

    #AI #ContinualLearning #LLM #MachineLearning #AdaptiveAI

  9. #AndrejKarpathy believes #AGI is still a decade away, citing the need for advancements in #continuallearning, #multimodality, and #computeruse. He argues that while the problems are solvable, they remain challenging. Karpathy also reflects on the history of AI, highlighting the impact of #deeplearning, #reinforcementlearning, and #largelanguagemodels on the field. dwarkesh.com/p/andrej-karpathy #tech #media #news

  10. #AndrejKarpathy believes #AGI is still a decade away, citing the need for advancements in #continuallearning, #multimodality, and #computeruse. He argues that while the problems are solvable, they remain challenging. Karpathy also reflects on the history of AI, highlighting the impact of #deeplearning, #reinforcementlearning, and #largelanguagemodels on the field. dwarkesh.com/p/andrej-karpathy #tech #media #news

  11. As they present their idea for producing symbolic AI domains using #LLMs, they present an interesting summary of why "Good Old-Fashioned #AI" is still totally relevant today - despite being aware of its limitations.

    youtube.com/watch?v=_TrKARhF5c

    I, too, rather recommend traditional #AI in my solutions, instead of blindly yielding to the current trends.

    Plus it paves the way for #continuallearning to improve the skills with time.

  12. Hurrah! I've been offered a place for this year at Charles Sturt University for the Graduate Certificate in Digital Archiving. Who knows where it may lead. Maybe it will sit nicely next to my Graduate Certificate in Archaeology! #ContinualLearning #Data #Governance #CSU #LifelongLearner

  13. It takes a while to make fancy #NeRF animations, so I am very happy we can now share our upcoming #CVPR paper with video and code release:
    A big debate in #ContinualLearning is how to scale to many experiences. This work shows how well NeRF-based compression can scale to store robotic experiences over many consecutive deployments, much better than storing checkpoints of your model.

    website: ethz-asl.github.io/ucsa_neural
    #Robotics #SceneUnderstanding

  14. The paper submission deadline for the CLVision workshop has been extended to March 13th.

    There is still time to submit your (archival or non-archival) contribution!

    #CVPR #continuallearning