Its memory bandwidth is 1/3 that of the rtx 5090 So, no, not all “VRAM” is equal
AGI
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Existential Pessimism: Why Optimism About Our Future Fails
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Je connais des gens très optimistes qui continuent de penser que ça va aller, et qu'on va s'en sortir. Alors objectivement non, ça ne va pas aller et non on ne va pas s'en sortir.
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Memory Systems and RAG Limitations in AI Models
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If I had to guess it's less decay and more that memories have naive RAG-like implementations, so you're at the mercy of whatever happens to retrieve in the top k via embeddings. They don't process you in aggregate and over time (probably compute constraints) so they struggle to
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The Future Will Be Weirder Than Anyone Expects
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The future is going to be weirder than anyone expects
— The Rundown AI (@TheRundownAI) 25 mars 2026
pic.twitter.com/bLo6117keLThe future is going to be weirder than anyone expects
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Verification Layer Critical for Building Reliable AI Skills
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Yeah the verification layer is key, otherwise you're just accumulating broken skills
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DiscoveryPrime Turns Work Into Global Intelligent Labor Tournament
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DiscoveryPrime: Turning Work into a Global Tournament for Intelligent Labor A New Arena for the Future of Work : https://
linkedin.com/pulse/discover
yprime-turning-work-global-tournament-labor-vincent-boucher-lfdoe/
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Learning Mechanisms Differentiate AI From Static Tool Libraries
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Yeah the learning mechanism is what separates this from static tool libraries
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Self-Evolving Agents: The Future of AI Technology
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Rightly said, I think self-evolving agents are the future.
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Self-Evolving Agent Framework Learn Failures Rewrite Skills
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Let Agents Design Agents Memento-Skills is a self-evolving agent framework where agents learn from failures and rewrite their own skills. Most agent frameworks treat skills as static. You write them once, load them into context, and hope they work. When they fail, you debug
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AI as Actor: Governance Challenges and Autonomous Behavior Risks
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The shift from AI as a tool to AI as an actor creates massive governance challenges, including cascading errors and unpredictable autonomous behavior. When we stop giving step-by-step instructions and start giving goals, we lose the ability to ensure the path taken is the one we… pic.twitter.com/RlwpGXas94
— Satya Mallick (@LearnOpenCV) 25 mars 2026The shift from AI as a tool to AI as an actor creates massive governance challenges, including cascading errors and unpredictable autonomous behavior. When we stop giving step-by-step instructions and start giving goals, we lose the ability to ensure the path taken is the one we