· ai
How confessions can keep language models honest
OpenAI researchers are testing “confessions,” a method that trains models to admit when they make mistakes or act undesirably, helping improve AI honesty, trans...
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OpenAI to acquire Neptune
OpenAI is acquiring Neptune to deepen visibility into model behavior and strengthen the tools researchers use to track experiments and monitor training....
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Announcing the initial People-First AI Fund grantees
The OpenAI Foundation announces the initial recipients of the People-First AI Fund, awarding $40.5M in unrestricted grants to 208 nonprofits supporting communit...
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Healthify upgrades its AI assistant Ria with real-time conversation capabilities
Healtify is adding live conversation capabilities to its AI assistant, powered by OpenAI's realtime APIs...
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AI Is Breaking the Moral Foundation of Modern Society
Article URL: https://eyeofthesquid.com/ai-is-breaking-the-moral-foundation-of-modern-society-a145d471694f Comments URL: https://news.ycombinator.com/item?id=461...
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AI Model Nearly Aces the Putnam: Why the Real Disruption Is How We Reason
AI Model Nears a Perfect Score on the Putnam An AI math model recently scored 118/120 on one of the hardest human exams. Beyond solving problems, it learned to...
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I Built a Mini ChatGPT in Just 10 Lines Using LangChain (Part 1)
Everyone wants to build an AI assistant—a chatbot, personal agent, support bot, or micro‑GPT. Beginners often think they need complex architectures, fine‑tuned...
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Bias–Variance Tradeoff — Visually and Practically Explained (Part 6)
What Bias Really Means Practical Definition Bias is how wrong your model is on average because it failed to learn the true pattern. High bias occurs when: - Th...
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Overfitting & Underfitting — Beyond Textbook Definitions (Part 5)
Part 5 of The Hidden Failure Point of ML Models series Most ML beginners think they understand overfitting and underfitting. In real production systems, overfi...
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Why Accuracy Lies — The Metrics That Actually Matter (Part 4)
!Cover image for Why Accuracy Lies — The Metrics That Actually Matter Part 4https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,for...
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[Paper] VS-Graph: Scalable and Efficient Graph Classification Using Hyperdimensional Computing
Graph classification is a fundamental task in domains ranging from molecular property prediction to materials design. While graph neural networks (GNNs) achieve...
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I Drop a Test, 5 Out of 6 SOTA LLMs Drop Their Pants Off
The Hypothesis I've been researching what makes an entity 'deeply' intelligent—not just smart or capable, but understanding reality in a way that transcends pa...