I built a "FRANKLIN SELF-MASTERY SYSTEM" in Claude. It reads Benjamin Franklin’s philosophy and applies his daily discipline and habit tracking to YOUR life. He tracked 13 virtues every day for decades without relying on motivation. Claude now applies that exact system to your
LLMS
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AI Agents and Open Standards Transform Developer Experience
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Join us at Google Cloud Next for a panel on the future of developer experience. Karan Singh, Partnerships Lead at LangChain, will join leaders from Atlassian, Datadog, Harness, and Google Cloud. Together, they’ll explore how AI agents and open standards are eliminating friction
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Nvidia Releases Ising Open-Source Quantum AI Model Family
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Nvidia just released Ising, the world's first family of open-source quantum AI models.
— The Rundown AI (@TheRundownAI) 14 avril 2026
The models cut quantum processor setup from days to hours and correct errors 3x more accurately than anything currently available.
Harvard, Fermilab, and 20+ institutions are already using… pic.twitter.com/XI8HpJMCeRNvidia just released Ising, the world's first family of open-source quantum AI models. The models cut quantum processor setup from days to hours and correct errors 3x more accurately than anything currently available. Harvard, Fermilab, and 20+ institutions are already using
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Mixture-of-Recursions: Dynamic Recursive Depths for LLM Tokens
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Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation Bae et al.: https://
arxiv.org/abs/2507.10524 #ArtificialIntelligence #AIAgents #LLM -
Mixture-of-Recursions: Dynamic Recursive Depths for Adaptive Token Computation
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Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation Bae et al.: https://
arxiv.org/abs/2507.10524 #ArtificialIntelligence #AIAgents #LLM -
Math Trick Cuts AI Memory Usage 10x in LLMs
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A math trick just cut AI memory usage by 10x without losing accuracy.
— AlphaSignal AI (@AlphaSignalAI) 14 avril 2026
Large language models that "think longer" hit a wall.
The more tokens they generate, the more memory their key-value cache eats.
Most compression methods decide what to keep based on recent attention… pic.twitter.com/XpPuRbKzALA math trick just cut AI memory usage by 10x without losing accuracy. Large language models that "think longer" hit a wall. The more tokens they generate, the more memory their key-value cache eats. Most compression methods decide what to keep based on recent attention
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Leaked Anthropic Claude Mobile Assist Feature UI Discovered
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This image just doesn't make sense > Anthropic updated its Assist UI on Claude for iOS (Currently hidden) > Claude Assist was assumed to be related to "Mobile Use" functionality, where Claude would be able to execute tasks on a mobile phone > The icon on this screen doesn't
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Cheaper AI reasoning models secretly cost more reveals study
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Your "cheaper" AI reasoning model is secretly costing you more! A new study by Lingjiao Chen, Chi Zhang, Yeye He, Ion Stoica, Matei Zaharia, James Zou from Stanford University, UC Berkeley, CMU, and Microsoft Research uncovers the "pricing reversal phenomenon" in LLMs. They
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GPT 5.4 Pro Solves Erdos Problem in Mathematical Breakthrough
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Otro problema Erdos que cae, a manos de GPT 5.4 Pro, resuelto tras 80 minutos trabajando
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Chinese AI Models Six Months Behind US Frontier Labs
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The question that's currently on my mind is this: Chinese models are about six months behind those of US Frontier Labs. Does this also apply to "Mythos"? Is it foreseeable that, for example, Qwen will release a similarly significant model as Claude "Mythos" in six months, or are