Visual lessons arrive in Gemini’s student hub
Google added interactive topic explorations, available to all users. English is supported; audio narration is still planned.
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Google added interactive topic explorations, available to all users. English is supported; audio narration is still planned.
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Anthropic expanded AI for Science with 20 scientific organizations. Credits support eligible research, not universal free access.
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Andrej Karpathy’s original video introduces LLMs such as ChatGPT. This selection is based on the video’s title and description, not a verified transcript. The original video is in English.
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OpenAI released work-use data across 165 activities and nearly 100 countries. Enterprise messages and Codex use are excluded.
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Google launched Polar Peaks for learners aged 11–14. The quest practices data cleaning, model testing and human oversight.
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IBM announced Granite Speech updates for transcription, translation and speaker attribution. Different models address speech-language tasks, fast transcription and identifying who spoke when.
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Karpathy’s original coding video is titled “Let’s build GPT: from scratch, in code, spelled out.” This is an English-language learning selection based on public video metadata; no verified transcript or translated subtitles are provided.
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Karpathy’s introductory talk offers an entry point to large language models. The title identifies it as an introductory talk. Our selection uses public metadata; we have not verified a transcript.
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Google says it is providing more than $6 million for research and capacity-building initiatives at NUS and NTU. The announced areas include Alzheimer’s research, computing efficiency, regional languages, and AI safety; the claims come from Google’s announcement. The grants include $1.5 million to NUS for Alzheimer’s research and $500,000 for computing efficiency and regional languages, plus $340,000 to NTU for AI safety studies. NTU will also receive a separate $750,000 capacity fund to build lasting research capabilities.
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Hugging Face’s LLM Course introduces language models and the tools around them. The course moves through Transformers, datasets, tokenizers and training topics; this is a learning resource, not breaking news.
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