In some important ways, a user’s LLM chat history is an extended interview. The social media algorithms learn what you like, but chats can learn how you think. You should be able to provide an LLM as a job reference, just like you would a coworker, manager, or professor. It can
EDUCATION
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Metacognitive Scaffolding for Error Prevention
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Technique 3: Metacognitive Scaffolding Instead of asking for an answer, engineers ask the model to explain its reasoning process BEFORE generating. This catches logical errors at the planning stage. Template: Before you [generate output], first:
1. List 3 assumptions you're -
ORF AI Tool Helps Children Learn with Personalized Confidence
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Every child learns differently. Our ORF tool is: Shaped by classrooms Guided by teachers Built to help young learners progress with confidence #WadhwaniAI #AIforGood #EdTech #EducationEquity #MachineLearning #DataForGood #SocialImpact #EducationInIndia
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Coding Skills as a Path to AI-Generated Income
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Coding skills unlock Ai income pic.twitter.com/R3neDP8ktl
— Satya Mallick (@LearnOpenCV) 10 décembre 2025Coding skills unlock Ai income
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AI Agents Reshape Learning Work Problem Solving
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AI agents are reshaping how we learn, work, and solve problems. Read the full research paper:
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Comet Assistant Usage Patterns: Finance and Education Focus
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Our findings show that professionals use the Comet Assistant to solve specific friction points in their industry. Finance professionals prioritize efficiency with 47% of queries on productivity, while students focus on utility, dedicating 43% to learning and research.
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Agent Activity Dominated by Productivity and Learning Work
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More than half of all agent activity focuses on cognitive work. Agent use is dominated by Productivity & Workflow (36% of queries) and Learning & Research (21%). Users rely on the assistant to think through something, synthesize findings, and take action on those learnings.
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Agent Query Patterns: Personal, Professional, and Educational Use Cases
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Most agent queries come from personal use (55%), followed by professional (30%) and educational (16%) contexts. New users often start with low-stakes questions like travel or trivia. Over time, they shift to more complex topics like productivity, learning, and career advice.
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Grace Hopper: Computing Pioneer and Bug Innovator Legacy
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Happy birthday to the late computing innovator Grace Hopper, who helped shape COBOL, made pioneering contributions to compilers, & popularized the word "bug."
— MIT CSAIL (@MIT_CSAIL) 9 décembre 2025
Watch her discuss the importance of information during a lecture at MIT in 1985: https://t.co/Pg774r74Te pic.twitter.com/mYaEczIsGkHappy birthday to the late computing innovator Grace Hopper, who helped shape COBOL, made pioneering contributions to compilers, & popularized the word "bug." Watch her discuss the importance of information during a lecture at MIT in 1985: https://
bit.ly/4pjt30A -
CS Education Week: Building AI Intelligence Everywhere Together
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It’s #CSEdWeek, which is a great reminder that every breakthrough in AI (especially at the edge) stands on the shoulders of teachers, students & open-source pioneers. Thanks for helping build a future where intelligence runs everywhere! #AI #ComputerScience #EdgeComputing