I found out that I am pretty good at giving life/relationship advice to others. The only problem is that I will explain it to you in ML terminology. https://
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/_jasonwei/status/1940126761489928468
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MACHINE LEARNING
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Life Advice Explained Through Machine Learning Terminology
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Is AI Quietly Killing Itself and the Internet?
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Is AI Quietly Killing Itself—And the Internet?
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu -
AI Inspectors: Beyond Visual Analysis in Building Assessment
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Fun fact: we built this at IBM and learned that a ton of things aren’t visual-based. Some are (like type of pipes under the sink or presence of a diving board), many aren’t (like CO levels, moisture damage). Ended up being better to give the AI to the inspector to massively
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Modern Recommendation Systems: Reinforcement Learning vs Single-Step Transactions
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Are modern recommendation systems treated like a reinforcement learning problem, with a sum of discounted future rewards, or as strictly single step transactions? Many products do significant offline data analysis on actions taken to inform changes, but it seems under
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Chain-of-Thought Reasoning: Interpretability Illusion in AI Models
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Is Chain-of-Thought just an Illusion of Reasoning? New research shows that 25% of AI papers treat CoT as 'interpretable' – but those step-by-step explanations often don't reflect what models actually compute. The reasoning you see ≠ the reasoning that happens
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Post-Training Fine-Tuning Specializes AI for Professional Tasks
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#2: Post-training fine-tunes that general knowledge for a specific task—like training to become a doctor, lawyer, or coder.
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Test-Time Scaling: Deep Reasoning During AI Inference
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#3: Test-time scaling uses extra compute during inference to reason through complex problems—like a professional thinking deeply before making a big decision.
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Pretraining: How AI Models Build Broad Knowledge
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#1: Pretraining is when an AI model uses compute to build broad knowledge from massive datasets—like a student learning in school.
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Three Scaling Laws Unlock Advanced Enterprise AI Capabilities
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🔍 AI models are getting smarter and more useful for enterprise tasks like complex problem-solving, coding and multistep planning.
— NVIDIA AI (@NVIDIAAI) 1 juillet 2025
Three scaling laws are unlocking these advances: pic.twitter.com/aE7M5x1GBjAI models are getting smarter and more useful for enterprise tasks like complex problem-solving, coding and multistep planning. Three scaling laws are unlocking these advances:
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Fine-Tuning AnomalyCLIP for Zero-Shot Anomaly Detection
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Fine-Tuning AnomalyCLIP: Class-Agnostic Zero-Shot Anomaly Detection In this week’s deep dive, we explore how AnomalyCLIP, a CLIP-based vision-language model, performs zero-shot and fine-tuned anomaly detection on the TN3K thyroid nodule segmentation dataset. Using a robust