AIR#173 - Karpathy's Take on VS Code vs. Copilot & New Brain Tech π§
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Here's the latest AI news for today. Enjoy!
Today's top stories
π₯ Karpathy on VS Code Cursor and Sonnet 3.5 vs. GitHub Copilot
Karpathy finds VS Code Cursor + Sonnet 3.5 superior to GitHub Copilot, noting programming now involves more English prompting.
Foundation for Human Vision Models
Facebook Research's Sapiens provides high-resolution models for various human vision tasks, pretrained on 300 million images.
Scientists Build a Simple Gel 'Brain' That Learns How to Play Pong Better
Scientists created a gel 'brain' that learns to play Pong, showing memory and adaptive behavior in simple materials.
Copilot AI calls journalist a child abuser, MS tries to launder responsibility
Microsoft's Copilot AI falsely labeled journalist Martin Bernklau as a criminal, leading to a defamation lawsuit against the company.
I automatically applied 1000 jobs in 24h and got 50 interviews (using AI BOT)
Using an AI bot, I applied to 1000 jobs in 24 hours and secured 50 interviews.
Biorecap: An R package for summarizing bioRxiv preprints with a local LLM
The biorecap R package summarizes bioRxiv preprints using a local LLM, streamlining research insights into concise reports.
Why large language models threaten learning, teaching, and education
Large language models threaten education by undermining learning, promoting shortcuts, and diminishing critical thinking skills.
The AI Supply Shock Is Coming for Nations Everywhere
AI supply shock threatens global economies, impacting nations everywhere.
Show HN: YouTube Addiction Rehab - content filter chrome extension using LLMs
A new LLM-powered Chrome extension helps users combat YouTube addiction by filtering and blocking distracting content.
The Apartment Rental Market Is Rigged by Algorithms, a DOJ Lawsuit Alleges
The DOJ alleges RealPage's algorithms rig the apartment rental market, coordinating prices and hindering competition.
Separating Data from Instructions in Prompting
Zbigniew Εukasiak introduces Prompete, a LiteLLM wrapper emphasizing the separation of data and instructions for better AI prompting.