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GSV: AI & Education · Mar 8, 2025

GSV's AI News & Updates (03/07/25)

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Claire Zau · GSV: AI & Education

  • OpenAI Introduces a $50M Consortium for AI Research and Education: The consortium includes prominent universities such as Harvard, MIT, Oxford, and Howard University, as well as organizations like Boston Children’s Hospital and the Boston Public Library.

  • Turnitin introduces Turnitin Clarity: A new tool designed to enhance academic integrity and transparency in student writing, particularly in the era of AI-assisted work. Educators can track students' writing processes, including typing patterns, pasted text, draft history, and AI tool usage.

  • ‘I want him to be prepared’: why parents are teaching their gen Alpha kids to use AI: Parents, including computer science experts, believe AI proficiency is as important as coding for their children’s success. Unlike social media, which exposes kids to unfiltered content, parents see AI as a safer, more constructive tool when used responsibly.

  • AI Use in the Workplace: A majority of U.S. workers (63%) report little to no AI use at work, while only 1 in 6 use it regularly. AI users tend to be more educated, with over half holding at least a bachelor’s degree, and 22% having a postgraduate degree.

  • How AI Tools Are Reshaping the Coding Workforce: The role of developers is shifting from writing code to prompting and guiding AI tools effectively. Hiring has become more selective—companies no longer rush to fill seats but seek problem-solving and communication skills over just coding ability.

  • “Learn AI” is “Learn To Code” All Over Again

  • AI Will Upend a Basic Assumption About How Companies Are Organized: The economy is built on the idea that expertise is scarce and expensive. AI is about to make it abundant and practically free.

    • The printing press and mass literacy lowered the cost of knowledge, fueling economic transformations like industrialization. The internet further democratized information, and AI now represents the next step, making high-level expertise instantly accessible.

    • Organizations must rethink how they structure teams and allocate human talent when AI can handle both routine and high-level cognitive tasks.

  • Google co-founder Larry Page has reportedly formed a new AI company: The company, called Dynatomics, aims to use large language models to “create highly optimized designs for a wide variety of objects and then have a factory build them”.

  • A quarter of startups in YC’s current cohort have codebases that are almost entirely AI-generated: YC leaders, including CEO Garry Tan, believe AI-powered coding will become the dominant method of development moving forward.

  • Stealth Interview: Provides an undetectable AI-powered assistance tool designed to help job seekers cheat on technical interviews.

  • Sesame: AI voice model designed to deliver natural, expressive, and highly realistic speech. It aims to achieve "voice presence”.

  • Latitude: Build self-improving AI agents. Design, evaluate, and deploy truly autonomous AI agents integrated with your tools and data.

  • Societies: AI simulation of your LinkedIn network that helps users predict, refine, and enhance their LinkedIn posts before publishing. Runs thousands of AI-driven tests to estimate how many reactions a post will receive.

  • Mistral OCR: Unlike traditional OCR tools, Mistral OCR can process not only text but also tables, images, equations (e.g., LaTeX), and handwritten notes. It processes up to 2,000 pages per minute on a single node

  • New Data Shows Just How Badly OpenAI And Perplexity Are Screwing Over Publishers: Despite claims from AI companies that their search tools increase publisher traffic, AI-driven search engines send 95.7% fewer click-throughs compared to traditional Google search. AI bot scraping increased by 117% from Q3 to Q4 2024, meaning AI models are consuming publisher content at a much higher rate. AI applications provide only a 0.37% referral rate when they scrape content—96% lower than Google search.

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