Interactive guide decodes how LLMs work step-by-step
A single HTML file uses Andrej Karpathy’s lecture transcript to visualize the inner mechanics of large language models. No external dependencies, just instant clarity on transformer architecture.
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Custom AI reasoning agents with 50% less compute: New RLSD technique
Enterprise teams now have a way to build custom reasoning agents without breaking the bank. A new method called RLSD cuts compute costs while improving model performance, making advanced AI accessible to more businesses.
MIT President Warns: Weakening Science Funding Could Undermine U.S. Innovation
Sally Kornbluth, MIT’s president, highlights how federal funding cuts and endowment taxes threaten America’s research pipeline. She argues that basic science is the bedrock of future breakthroughs in AI, medicine, and quantum computing—and warns the consequences could last for decades.
How pre-training powers large language models before fine-tuning kicks in
Before fine-tuning, every top large language model spends weeks learning grammar, facts, and patterns from vast text corpora. Discover how pre-training establishes the raw capability that later human feedback refines into useful AI.
Shift lets you get free home cleaning in exchange for AI training data
Shift, an AI startup, is offering complimentary home cleaning services across New York City this summer. In return, it will record cleaners in action to build datasets for training household robots.
NYC residents can get free home cleaning for AI robot training
A German startup now offers free professional cleaning in New York City, but participants must allow on-site recording to train household robots. The unusual service raises privacy and data use questions.
Why Multi-Step AI Agents Need Smarter Reinforcement Learning Feedback
Agentic AI systems often fail due to misaligned feedback signals in reinforcement learning. A new technique called SDAR introduces a gated self-distillation method that provides precise, step-level guidance without destabilizing training.
How PATH is reshaping AI training for workforce-ready skills
A collaboration between MIT, Georgia State, and community colleges is creating hands-on AI training pathways to close the skills gap for entry-level roles and current workers in industries from fintech to healthcare.
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