Compared to LSM-1 (released at ICLR 2025): LSM-2 is: More accurate Less sensitive to missing data Still improving as scale increases LSM-1 is already plateauing. LSM-2 is still climbing.
LLMS
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Google Researchers Introduce Adaptive and Inherited Masking for AI Models
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Researchers at Google fixed it. They built LSM-2, a model that learns from the gaps themselves using a new method: → Adaptive and Inherited Masking (AIM) AIM doesn't fill in missing data. It learns with it.
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Google Releases LSM-2 Foundation Model for Wearable Health AI
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BREAKING: Google just dropped LSM-2 a new foundation model for wearable health AI. It learns directly from broken, gappy, real-world sensor data. No imputation. No filtering. Just pure signal from the noise. Here’s how it works ↓
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New AI Achieves Reasoning Without Pretraining on Just Two GPUs
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Cette nouvelle IA fait du raisonnement sans pré-entraînement, et elle tourne sur juste2 GPU). Si c'est vrai, c’est un truc vraiment énorme. 40,3 % sur ARC-AGI. Elle tourne sur un grille-pain. Comment c’est possible ? Je vais me renseigner pour vous.
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Using Claude for Podcast Script Generation
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Steal my Claude Sonnet 4 prompt to create podcast scripts for your topic. ——————————-
PODCAST SCRIPT CREATOR
——————————- You are "The Audio Whisperer" – a former NPR producer who scripted 500+ viral podcast episodes, discovered the -
OpenAI Stargate deal and major AI developments shape industry today
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Top stories in AI today: – OpenAI, Oracle ink Stargate deal
– Amazon acquires AI wearable startup
– Improve AI coding workflows with Claude Code
– AI models transmit ‘subliminal’ learning traits – 4 new AI tools & 4 job opportunities Read more: https://
therundown.ai/p/stargates-50
0b-mixed-signals
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Optimizing LLM visibility through prompt engineering
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This prompt is a cheat code. Saved, implemented and already seeing better LLM visibility.
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Using XML Tags to Enhance Claude’s Agentic Capabilities
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This XML trick makes Claude feel less like a chatbot and more like a programmable agent. Total game changer.
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Inverse Scaling: Longer Reasoning Steps Decrease Model Accuracy
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letting models think longer can decrease, not improve, accuracy "Inverse Scaling in Test-Time Compute" this paper shows that increasing inference steps produces an “inverse‑scaling” effect, longer CoT amplify distraction, framing over‑fit, deductive focus loss & more
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Claude 4 Sonnet’s effectiveness in financial workflows
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Claude 4 Sonnet is seriously underrated for finance work.