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  • šŸ¤– OpenAIā€™s Sora Model Scares Animators

šŸ¤– OpenAIā€™s Sora Model Scares Animators

PLUS: Are Universities Selling Student Data for Profit?, Metaā€™s MAGNeT Technique

Welcome back AI enthusiasts!

In todayā€™s AI Report:

  • šŸŽƒOpenAIā€™s Sora Model Scares Animators

  • šŸŽ“Are Universities Selling Student Data for Profit?

  • šŸŽøMetaā€™s MAGNeT Technique

  • šŸ› 5 Trending Tools

  • šŸ’°Venture Capital Updates

  • šŸ’¼Whoā€™s Hiring?

Read Time: 3 minutes

šŸ—žRECENT NEWS

OPENAI

šŸŽƒOpenAIā€™s Sora Model Scares Animators

Image Source: FutureRender/DeviantArt

Last week, OpenAI announced Sora, a text-to-video AI model that converts simple text prompts into hyperrealistic short films. The filmmaker industry flipped out on social media, imagining the future of animations without animators.

Key Details:
  • In 2020, Epic Games released Unreal Engine 5 (UE5), a virtual development software that offers a visual scripting system, animation tools, and a robust rendering engine.

  • Hollywood filmmakers relied on UE5 to reduce post-production costs and render backgrounds for actors in real-time.

  • This process requires a programmer to define determinist algorithms for object behavior. Then, the UE5 software renders those determinations, demanding extensive computing power (i.e., the amount of computing resources needed to complete tasks).

  • OpenAIā€™s Sora model learns the laws of physics and concepts of energy and motion without human input and applies them to personalized prompts.

  • David Friedberg, an angel investor and All-In Podcast host, explained: ā€œWhatā€™s amazing about this model is that it renders the rules of physics, motion, perspective, object placement, and fluid movement with a reduced amount of compute.ā€ Simply put, software is writing itself.

Why Itā€™s Important:
  • Unlike UE5, which requires programmers to define algorithms, Sora can generate realistic scenes without extensive coding, reducing development times and resource expenses.

  • Pixar spent several years developing technologies to simulate realistic curly hair in animated movies. OpenAIā€™s Sora model outputs realistic curly hair in seconds within a short photorealistic film.

šŸšØCheck out OpenAIā€™s Sora model videos here.

UNIVERSITY OF MICHIGAN

šŸŽ“Are Universities Selling Student Data for Profit?

Image Source: Michigan Municipal League

The University of Michigan is facing scrutiny after the institutionā€™s third-party vendor advertised datasets of lectures, papers, and exams to AI firms for training language models without student consent.

Key Details:
  • Google DeepMind engineer Susan Zhang posted a screenshot on X of an email offering her over 85 hours of academic speeches and 829 unpublished student papers to train datasets.

  • The email was sent from Catalyst Research Alliance, a third-party data provider offering one-time license fees and sample datasets of academic content from the University of Michigan.

  • The University of Michigan quickly responded, stating: ā€œThe post was sent out by a new third-party vendor that has since been asked to halt their work. The content referenced in the post includes papers and speech recordings that were voluntarily contributed by student volunteers.ā€

Why Itā€™s Important:
  • X users mention this ā€œvolunteer dataā€ was from two decades ago. So, they couldā€™ve never known or consented to this data being sold to train language models.

  • University supporters cite FERPA laws that prevent universities from sharing data that identifies specific students.

  • Although no identifiable information about specific students was visible through recordings, listeners could recognize individuals by voice.

šŸ©ŗ PULSE CHECK

Did the University of Michigan sell student data through a third-party source?

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AI RESEARCH

šŸŽøMetaā€™s MAGNeT Technique

Meta researchers recently developed MAGNeT, a new text-to-audio model that quickly generates music, sound effects, and noises from text prompts.

Metaā€™s MAGNeT model was trained on 16,000 hours of licensed music. More specifically, a dataset of 10K high-quality music tracks.

The model leverages parallel masked predictive coding to generate musical components and soundscapes in seconds.

šŸ› TRENDING TOOLS

šŸ’»Fixkey corrects grammar across MacOS applications with fully customizable shortcuts and offline support.

šŸ‘Øā€āš•ļøDocus enhances your health decisions with verified doctors.

šŸ˜°Anxiety Simulator simulates a conversation with a friend who has anxiety and provides feedback.

šŸ—ŗMeetingly turns your sales calls into sales opportunities.

šŸ“ˆOlympia scales your business with affordable virtual assistants.

šŸ”®Browse our always Up-To-Date AI Tools Database.

šŸ’°VENTURE CAPITAL UPDATES

  • A peek inside Alphabetā€™s $7B growth-stage investing arm, CapitalG.

  • LangChain lands $25M to launch a platform to support the entire LLM application lifestyle.

  • AI cybersecurity firm Clarity raises $16M in seed funding to defend against deepfakes.

šŸ’¼WHOā€™S HIRING?

  • Wisk (Mountain View, CA): BMS Software Engineering Intern, Summer 2024

  • Intel (Santa Clara, CA): AI Software Development Engineer, Summer 2024

  • Olo (Remote): Data Science Intern, Summer 2024

  • Cadence (San Jose, CA): Software Engineer, New College Grad 2024

  • Tesla (Buena Park, CA): Tesla Advisor, Sales & Customer Support

šŸ¤–PROMPT OF THE DAY

RESUME

šŸ‘”Tailored for Job Description

Based on the [Job Description] for a [Job Title] role at [Company], write a resume that includes relevant metrics and the most important keywords from the job description. My past titles at companies were [X, Y, and Z].

Job Description = [Insert Here]

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Company = [Insert Here]

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šŸ“’FINAL NOTE

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ā¤ļøAI Pulse Review of The Day

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