Hey folks, today we have a bunch of stuff from Open AI; they are shipping like a beast with a new method for improving the mathematical performance of LLMs, future plans of the company, and minor updates.
Then we talk a little about the AI risk and what’s going on there. For the links, there was too much good stuff today that curation took a long time. Check the newsfeed if you want more.
Let’s get to it.
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Highlights if you've only got 2 minutes
So Open AI dropped another technical blog, and they have trained a model to achieve a new state-of-the-art in mathematical problem-solving. They are doing it by introducing supervision into the step-by-step process of solving complex mathematical problems.
This is big for two reasons: 1) the models get better at maths. Duh. and 2) The step-by-step process with human supervision creates hope for solving alignment problems in LLMs.
Sam Altman talked about Open AI’s plans in a talk and revealed a bunch of stuff:
OpenAI is heavily GPU limited at present
Cheaper GPT-4 is a near-term priority. One million token context length is also possible
Plugins don’t have a product-market fit yet
A stateful API that remembers conversation history
Dangers of AI - reading list.
Following the AI statement yesterday, there was a long reading list of pros and cons of both sides. Replit’s founder tweeted that the experts kinda jump from “this is smart” to “existential threat” very quickly. I made a small reading list on this topic, collecting different views:
Personally, I believe that there are some clear dangers, but instead of collecting signatures, focusing on research is more important.
Anna-Sofia from Contrary has been writing about hard tech topics like climate change, chips, fusion, and more for a while, and now it is a standalone publication. I think many of you might like it outside of the AI stuff. Check it out, Anna does a great job at it.
🛠️ Cool Tools
Product launches, updates and demos
Caption It - Write witty photo captions with AI that are great for social media. (link)
InkyMM - First commercially available image-to-text multimodal model. (link)
Recraft - Generate vector art, 3D images and more. (link)
Siit - AI assistant for employee support. (link)
Studyflow - Learn by quizzing yourself with AI. (link)
Paige - Rewrite your web presence in a page generated in 30 seconds. (link)
Hyper Online - Build AIs for companionship, motivation, and fun. (link)
ChatOCR - ChatGPT plugin that reads text from PDFs, including scans and handwriting. (link)
WaifuChat - Your AI anime girlfriend. (link)
Gamma - Let AI finish your presentation for you, shape your content, add visuals, and even rewrite sections for you. (link) - disclaimer, Ben is an investor.
Embedding Dev - A playground to compare different text embedding models from companies like OpenAI, CohereAI and GoogleAI. (link)
The open-source vector toolkit for Postgres from Supabase. (link) - disclaimer, Ben is an investor.
News, podcasts, videos, blogs etc
Macaw-LLM - Multi-modal language modeling with image, video, audio, and text integration. (link)
SelFee - Iterative self-revising LLM empowered by self-feedback generation. (link)
Large sequence models for software development activities. (link)
GILL - Generating images with multimodal language models. (link)
Teaching fewer words to large language models might help them sound more human. (link)
UAE's Falcon 40B has waived royalties on its use for commercial and research purposes. (link)
Open sourcing the Scale Venture partners chatbot. (link)
Behind the Scenes - How LangChain calculates OpenAI pricing. (link)
Harnessing AI's potential to improve equity. (link)
AI intensifies the fight against paper mills that churn out fake research. (link)
In pursuit of a better book - How AI fixes e-books' sins. (link)
AI anthology - We are an information revolution species. (link)
Japan goes all in - Copyright doesn’t apply to AI training. (link)
How-to’s and resources
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