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PLUS: AI-Powered Surgical Robot Learns From Watching Videos, Anthropic CEO Spends Five Hours on Lex Fridmanās Podcast
Welcome back AI enthusiasts!
In todayās Daily Report:
šAnthropic CEO Spends Five Hours on Lex Fridmanās Podcast
š½AI-Powered Surgical Robot Learns From Watching Videos
š§ OpenAIās āOperatorā AI Agent Is Comingā¦
š Trending Tools
š°Funding Frontlines
š¼Whoās Hiring?
Read Time: 3 minutes
šRECENT NEWS
AI PIONEERS
šAnthropic CEO Spends Five Hours on Lex Fridmanās Podcast
Image Source: Lex Fridman/YouTube/āDario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanityā/Screenshot
Anthropic CEO Dario Amodei spent five hours on Lex Fridmanās podcast discussing the limits of scaling AI models and a realistic timeline for achieving superintelligence. You read that right, five hours?! So, letās break down the main points.
Key Details:
Amodei believes āscaling upā AI models is still a viable path toward achieving more capable AI applications.
He clarifies that āscaling upā refers to increasing the amount of computing power used to train AI models while also increasing the size of training datasets.
Amodei doesnāt believe that current dataset shortages will halt AI developments. Instead, developers will āget aroundā data limitations by generating high-quality synthetic data (i.e., artificially created information) to continue training AI models.
Amodei was also transparent about how AI models are unpredictable in nature. āThereās this whack-a-mole aspect, where you push on this one thing, and these other things start to move.ā
Amodei anticipates that AI models will reach superintelligence by 2027, exceeding āhuman-levelā performance on a number of tasks. āWeāre rapidly running out of truly convincing blockers, truly compelling reasons why this wonāt happen in the next few years.ā
šØWatch the full podcast here.
AI RESEARCH
š½AI-Powered Surgical Robot Learns From Watching Videos
Image Source: John Hopkins University (JHU) Hub/āRobot That Watched Surgery Videos Performs With Skill of Human Doctorā/Screenshot
Researchers at Johns Hopkins University (JHU) developed a method to train surgical robots by showing them videos of seasoned surgeons.
Key Details:
This method involves leveraging Imitation Learning, which eliminates the need to program surgical robots with each individual move required during a medical procedure.
In other words, Imitation Learning brings the field of robotic surgery closer to true autonomy, where surgical robots can perform complex surgeries without human intervention.
Imitation Learning is the process of observing an action and then repeating it. In this context, the surgical robot watches videos of seasoned surgeons to learn how to perform the same surgical procedures.
The Imitation Learning is paired with the same Machine Learning (ML) architecture that underpins OpenAIās ChatGPT.
However, while ChatGPT processes words to generate text, this method speaks ārobotā with Kinematics: āA language that breaks down the angles of robotic motion into math.ā
Why Itās Important:
This method was used to train the āda Vinci Surgical Systemā to perform three fundamental tasks required in surgical procedures:
Suturing (i.e., āStichesā)
Lifting Body Tissue
Manipulating a Needle
šØWatch the surgical robots in action here.
š©ŗ PULSE CHECK
Would you trust a surgical robot to perform surgery on you?Vote Below to View Live Results |
OPENAI
š§ OpenAIās āOperatorā AI Agent Is Comingā¦
Image Source: Canvaās AI Image Generators/Magic Media
OpenAI is reportedly planning to launch āOperator,ā an AI Agent that controls your browser tabs to complete complex tasks like ordering food from a restaurantās website.
OpenAI CEO Sam Altman posted on the r/ChatGPT Reddit, āWeāll have better and better AI models, but I feel like the next giant breakthrough will be AI agents.ā
Anthropic also recently unveiled āComputer Use,ā which enables Anthropicās Claude (i.e., a direct competitor to OpenAIās ChatGPT) to navigate your computer autonomously. āIt can use computers in basically the same way we do,ā said Jared Kaplan, Anthropicās Chief Science Officer (CSO).
š TRENDING TOOLS
šMealPractice is an AI-powered recipe generator.
šAgree sends, signs, and secures any agreement.
šWebdraw enables you to create apps by drawing.
āļøEar/yAI offers generated, verified, and validated unit tests for your code.
šµSegwise monitors your Ad campaigns to catch issues before they drain your Ad budget.
š®Browse our always Up-To-Date AI Tools Database.
š°FUNDING FRONTLINES
Kardome secures a $10M Series AI to pioneer the future of voice.
Tessl raises a $125M Series A to build AI frameworks that maintain your code.
Neo Financial, or āNeo,ā lands a $360M Series D to challenge the big five banks of Canada.
š¼WHOāS HIRING?
d-Matrix (Santa Clara, CA): Compiler Software Engineering Intern, Summer 2025
Zoox (Foster City, CA): Data Engineering Intern/Co-Op, Content, Summer 2025
Waymo (Mountain View, CA): Evaluation and Inference Team Intern, Summer 2025
Nvidia (Santa Clara, CA): Go-to-Market Product Manager Intern, Hardware, Summer 2025
LightBox (Irvine, CA): Software Engineering, Data Platforms, Early Career
š¤PROMPT OF THE DAY
TEACHING MOMENTS
šPass On Your Knowledge
Youāre an elite [Domain of Expertise (e.g., Financial Advisor)]. Iām your student, and you must pass on your knowledge and expertise to me.
Domain of Expertise = [Insert Here]
šFINAL NOTE
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