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- 🥟 Chao-Down #107 FBI warns against deepfake extortion, Amazon may partner with AMD on AI chips, EU drafts comprehensive AI regulation law, YouTube gives Google a data edge on AI
🥟 Chao-Down #107 FBI warns against deepfake extortion, Amazon may partner with AMD on AI chips, EU drafts comprehensive AI regulation law, YouTube gives Google a data edge on AI
Plus, McKinsey finds that the biggest losers of AI are knowledge workers.
Adobe is betting big that their new Firefly product is ready for enterprises. In an unprecedented move, the company is offering to pay any legal bills that could come from copyright concerns over its image generation product.
It’s a bold offer and one that will certainly draw attention as enterprises try to figure out how they can responsibly deploy generative AI tech in their products.
See more of my breakdown here:
-Alex, your resident Chaos Coordinator.
What happened in AI? 📰
E.U. Takes Major Step Toward Regulating A.I. (The New York Times)
Exclusive: Amazon's cloud unit is considering AMD's new AI chips (Reuters)
FBI tells Americans to be careful with online photos, warns about ‘deepfake sextortion schemes’ (Yahoo)
Microsoft Prepares to Cash In on OpenAI Partnership With Copilot (Bloomberg)
Doctors Are Using ChatGPT to Improve How They Talk to Patients (The New York Times)
Biggest Losers of AI Boom Are Knowledge Workers, McKinsey Says (Bloomberg)
Why YouTube Could Give Google an Edge in AI (The Information)
Always be Learnin’ 📕 📖
Survey - Developer sentiment around AI/ML (stackoverflow.co)
Mastering the Art of Data Storytelling: A Guide for Data Scientists - (KDnuggets)
Speed matters: Why working quickly is more important than it seems (the jsomers.net blog)
Grokking the Coding Interview: Mastering the 20 Coding Patterns (Level Up Coding)
Projects to Keep an Eye On 🛠
mlcommons/algorithmic-efficiency: MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models. (Github)
THU-KEG/OmniEvent: A comprehensive, unified and modular event extraction toolkit. (Github)
TransformerOptimus/SuperAGI: <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably. (Github)
The Latest in AI Research 💡
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding (arxiv)
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design (arxiv)
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training (arxiv)
The World Outside of AI 🌎
Food inflation in Europe persists as staple prices climb (Quartz)
Google violates antitrust laws with ad tech, European Union says (axios)
Netflix will open a restaurant that serves food from ‘Chef’s Table,’ ‘Nailed It!’ and more (TechCrunch)
What happens to our plastic, old clothes, and other waste? (Quartz)