Everything is adjacent, but nothing is prioritized, leaving us stuck in a loop of trying to archive the un-archivable. Building AI that parses signal from noise is a necessity for anyone trying to escape the mental clutter of the digital era.
AI
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Original MIT definition of hacking: clever, playful, and benign
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Yes "The original definition of hacking, emerging from MIT in the 1950s/60s, refers to the clever, playful, and benign act of modifying or improving technology—especially computer systems—to make them more efficient. It meant finding elegant shortcuts, tinkering to understand
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Stanford Study Exposes Hallucinations in Legal AI Platforms
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Stanford proved "hallucination-free" legal AI is a marketing lie. Researchers ran 202 legal queries through LexisNexis and Thomson Reuters' legal AI tool platforms and compared them against GPT-4. Every response was manually reviewed by legal experts. Lexis+ AI hallucinated
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Stanford Paper on Legal RAG Hallucinations in AI
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Paper: https://
law.stanford.edu/wp-content/upl
oads/2024/05/Legal_RAG_Hallucinations.pdf
… Check out http://
AlphaSignal.ai to get a daily summary of top models, repos, and papers in AI. Read by 280,000+ devs. -
AI Usage Metrics as Performance KPI: A Counterproductive Approach
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Tracking AI usage as a performance metric is a death spiral for ROI. A top developer might ship 10x more with a fraction of the compute, but your HR dashboard will fire them for "low engagement."
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Apple’s Leadership Shift: From Supply Chain to AI Innovation
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Timing the NVIDIA boat perfectly is a dream, but Cook’s real win was scaling Apple into the world's most stable giant. With Ternus taking over in September, the focus shifts from supply chain perfection to the next frontier of intelligence.
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Share: Sympathy, Participation, and Business Shares in AI
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maybe share ? as in sympathy
participation
business shares -
GPT-5.5 Spotted on Open Router: New AI Era Begins
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GPT-5.5 spotted on open router. Just a few more hours friends! And a new era awaits
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Multi-Agent LLM Systems Show Diversity Collapse Over Time
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Cool paper on diversity collapse in AI agents. It's a common issue with all the deployed multi-agent systems. New paper shows that multi-agent LLM systems converge on near-identical outputs over time, even across different architectures and different starting prompts. They call
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Why Stick with Deprecated GPT-4o Model Choice
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pourquoi ils sont resté a gpt-4o qui est deprecié depuis un moment ?