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- 🥟 Chao-Down #125 Anthropic releases Claude-2, China establishes content control rules for AI, OpenAI and Shutterstock expand licensing deal for image data, Google ditches AI chatbot geared for Gen Z
🥟 Chao-Down #125 Anthropic releases Claude-2, China establishes content control rules for AI, OpenAI and Shutterstock expand licensing deal for image data, Google ditches AI chatbot geared for Gen Z
Plus, the "shadow libraries" that are at the heart of copyright lawsuits against AI.
Anthropic just released Claude-2, a formidable competitor to OpenAI’s GPT4. I’ll definitely be playing around with it both through their playground and with their API.
One notable difference is the knowledge cutoff is a lot more recent compared to GPT4, which could be more relevant for knowledge-based queries.
For a high level summary of what Claude offers, check out this tweet from Jim Fan:
-Alex, your resident Chaos Coordinator.
What happened in AI? 📰
China to lay down AI rules with emphasis on content control (Financial Times)
New ChatGPT rival, Claude 2, launches for open beta testing (Ars Technica)
Shutterstock expands deal with OpenAI to build generative AI tools (TechCrunch)
Codeword marketing agency hires AI "interns" (Axios)
"Shadow libraries" are at the heart of lawsuits against OpenAI (Quartz)
Indian CEO of Dukaan replaced 90% of staff with an AI chatbot (CNN Business)
Why did Google Brain exist? (moderndescartes.com)
Google quietly ditched plans for an A.I.-powered chatbot app for Gen Z (CNBC)
Always be Learnin’ 📕 📖
5 learnings from classifying 500k customer messages with LLMs vs traditional ML (trygloo.com)
Customer Success Is Broken. Here's How to Fix It. (Andreessen Horowitz)
A few product lessons from Threads (Substack)
Projects to Keep an Eye On 🛠
TimDettmers/bitsandbytes: 8-bit CUDA functions for PyTorch (Github)
LPengYang/FreeDrag: FreeDrag: Point Tracking is Not You Need for Interactive Point-based Image Editing (Github)
mshumer/gpt-prompt-engineer: Simply input a description of your task and some test cases, and the system will generate, test, and rank a multitude of prompts to find the ones that perform the best. (Github)
a16z-infra/companion-app: AI companions with memory: a lightweight stack to create and host your own AI companions (Github)
The Latest in AI Research 💡
Lost in the Middle: How Language Models Use Long Contexts (arxiv)
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation (arxiv)
TIM: Teaching Large Language Models to Translate with Comparison (arxiv)
The World Outside of AI 🌎
Microsoft-Activision won in US court, but needs UK approval (Quartz)
Incentives Rule The World (Substack)
Threads and the Social/Communications Map (Stratechery by Ben Thompson)
American Companies Held Hostage by the Whims of TikTok (WSJ)
One Last Bite 😋
Check out this clip from the Humans of AI podcast with my friend Govind: