🧠 Alzheimer’s Reversal Achieved in Animal Models
A breakthrough that redefines hope in Alzheimer’s research — suggesting that full neurological recovery might one day be within reach.
Scientists at Case Western Reserve University have shown that restoring NAD+ balance in the brain can reverse Alzheimer’s pathology and cognitive decline in mice. By administering the compound P7C3-A20, they achieved full neurological recovery even in advanced cases. The discovery challenges the long-standing belief that Alzheimer’s is irreversible and opens new possibilities for human treatment.
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🎙️ Asterisk AI Voice Agent
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🎮 Timeless Games: Designing Beyond Trends
A thought-provoking reflection on lasting creativity in game design and a call to build games that stand the test of time.
This piece examines the fast-changing gaming industry and advocates for ‘timeless games’—creations that outlast fleeting trends and technologies. Citing classics like Tetris, Minecraft, and Mario Kart, it argues that developers should prioritize universal human drives such as creativity, mastery, and competition instead of chasing novelty.
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🐍 Advent of Code 2025: The AI LLM Edition
An engaging educational resource from Peter Norvig — blending programming challenges with AI exploration for curious Python developers.
This GitHub notebook from Peter Norvig’s ‘pytudes’ collection features a series of AI- and algorithm-themed Python exercises. It continues his tradition of creating high-quality, educational code examples designed to teach problem-solving and artificial intelligence concepts in a hands-on way.
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⚙️ Load and Store Forwarding in the Toy Optimizer
A rich technical exploration of compiler internals — both instructive and inspiring for those fascinated by JIT compilation and language implementation.
Bernstein Bear explores the compiler optimization technique of load/store forwarding within the Toy Optimizer. Through abstract interpretation, the approach reduces redundant memory operations by caching and invalidating loads as needed. The post includes detailed tests and refinements to the optimization pass, aiming to boost performance in intermediate representations such as Ruby’s ZJIT.
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