- Chaos Theory
- Posts
- 🥟 Chao-Down #307 Google launches Code Assist to challenge Github Copilot, How autonomous racing pushes the self-driving industry forward, AI chatbots found to be more persuasive than human debaters
🥟 Chao-Down #307 Google launches Code Assist to challenge Github Copilot, How autonomous racing pushes the self-driving industry forward, AI chatbots found to be more persuasive than human debaters
Plus, a look at how potentially some of the popular video and music AI models are trained.
The Pew Research Center recently published how Americans are increasingly using ChatGPT for tasks at work, to learn something new, and simply for entertainment. However, in an upcoming 2024 election cycle, few trust the output for accurate political information.
Several tech companies have dedicated efforts to prevent the misuse of AI in election proceedings, however several reports have shown that chatbots themselves are providing misleading answers to the public.
Will trust in AI continue to grow?
-Alex, your resident Chaos Coordinator.
What happened in AI? 📰
AI chatbots beat humans at persuading their opponents in debates (New Scientist)
OpenAI transcribed over a million hours of YouTube videos to train GPT-4 (The Verge)
Google launches Code Assist, its latest challenger to GitHub’s Copilot (TechCrunch)
How Autonomous Racing Is Pushing Self-Driving Cars Forward (Inverse)
Suno is a music AI company aiming to generate $120 billion per year. But is it trained on copyrighted recordings? (Music Business Worldwide)
Will A.I. Boost Productivity? Companies Sure Hope So. (The New York Times)
Always be Learnin’ 📕 📖
The lifecycle of a code AI completion (sourcegraph.com)
How to make people pay more with the art of ‘Visible Labor’ 👷 (marketingideas.com)
How Google Built an Open Source AI to Provide Accurate Flood Warnings for 460 Million People (Substack)
Projects to Keep an Eye On 🛠
netease-youdao/QAnything: Question and Answer based on Anything. (Github)
enricoros/big-AGI: Generative AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. (Github)
karpathy/llm.c: LLM training in simple, raw C/CUDA (Github)
The Latest in AI Research 💡
Mechanics of Next Token Prediction with Self-Attention (arxiv)
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking (arxiv)
Simple and Scalable Strategies to Continually Pre-train Large Language Models (arxiv)
The World Outside of AI 🌎
Watch The Battle of the Trading Card Giants (Bloomberg)
Microsoft says it’s cracked the code on an important quantum computing problem - (The Verge)
IAB: Why the rise of content creators signals a new era of influence (marketing-beat.co.uk)
Charted: Sacrifices people make to afford rent or mortgage payments (Axios)
The rise of the remote husband (Economist)
UConn Researchers Closer to Near Real-Time Disaster Monitoring (UConn Today)
One Last Bite 😋
