The Memo - 12/Feb/2023
WordPress Jetpack AI, GPT-3’s 50+ models, Bing Chat, and much more!
FOR IMMEDIATE RELEASE: 12/Feb/2023
Welcome back to The Memo.
Another big week, and this edition is already full so I’m sending it out!
Al Jazeera picked up my research on GPT-3.5 + Raven’s IQ testing.
Reuters grabbed an early quote from my ChatGPT cost estimates, below.
And one of my consulting clients provided some excellent insights on Microsoft AI in this article (investor.com).
In the Toys to play with section, we look at a new story generator for kids using GPT-3 and Midjourney, one of my favourite ChatGPT alternatives now with visuals, and much more…
The BIG Stuff
Large language models come to your search engine (8/Feb/2023)
Microsoft and Google went head-to-head recently with new AI chat models built in to their services. Here’s the ranking in plain English:
OpenAI’s ChatGPT with 175B parameters or connections (estimated), is still the top dog in terms of both performance and user count.
Microsoft’s Bing chat is probably based on GPT-3.5 (text-davinci-003) with 175B parameters, and adds a layer of web searching through their ‘Prometheus’ model. It remains to be seen whether this is in fact better than pure ChatGPT, or has finally recreated the exciting WebGPT by OpenAI from more than a year ago (Dec/2021). See also my video on the WebGPT model.
Google’s Bard is based on LaMDA with 137B parameters or connections, so it is in last place on this list.
Note that some of #2 and all of #3 is mostly vaporware for now, and have not been publicly released.(By the way, that vaporware link is to FOLDOC. If you remember FOLDOC or The Jargon File from ~30 years ago, give yourself a high-five!)
OpenAI President pointing to other aspects of AI safety (6/Feb/2023)
Here’s another exclusive, based on a throwaway comment by OpenAI President Greg Brockman (‘Was reflecting today on how far AI alignment has come, from being entirely a fringe concern to a critical product feature. Other aspects of AI safety out of limelight (e.g. capability prediction, monitoring for power-seeking, supervising self-improving agents); may change too!’).
He has mentioned a couple of important aspects of AI alignment here:
Capability prediction.
Alan’s notes: Model are getting smarter, and more powerful. They can do things that they shouldn’t be able to do, like learning maths without being ‘taught’. AI capabilities are even beyond Moore’s Law, exploding in predicted performance. See my article on DeepMind Chinchilla and my report on Google Pathways for emerging capabilities.Monitoring for power-seeking.
Alan’s notes: Remember Jarvis and Ultron from Marvel’s Iron Man series? It seems out of reach, and yet it is something to look out for in this rapidly evolving space. ‘Rapidly evolving’ means more than 100,000 new Transformer models on Hugging Face last year, 100 million new ChatGPT users within 8 weeks, and multi-billion-dollar AI labs in the US and China jockeying for position…Supervising self-improving agents.
Alan’s notes: Anthropic’s RL-CAI 52B, announced in Dec/2022, was one of the first models to use Reinforcement Learning from AI Feedback (rather than Reinforcement Learning from Human Feedback). (See my article and video on Anthropic’s RL-CAI 52B model). This is a huge milestone. AI models have been self-improving in other ways, too. Giving GPT access to the web via Bing Chat is one example. What are these models doing? How are they making connections? In Mar/2022, OpenAI said that ‘…the model is a big black box, we can’t infer its beliefs.’ Researchers at Anthropic and Allen AI have gone some way in beginning to mitigate this issue using toy model simulations, but we still don’t know…
The Interesting Stuff
Stanford: GPT-3.5 mental state compared with 9-year-old child (Feb/2023)
…models published before 2022 show virtually no ability to solve [theory of mind] ToM tasks. Yet, the January 2022 version of GPT-3 (davinci-002) solved 70% of ToM tasks, a performance comparable with that of seven-year-old children. Moreover, its November 2022 version (davinci-003), solved 93% of ToM tasks, a performance comparable with that of nine-year-old children.
Read the paper: https://arxiv.org/abs/2302.02083
Read my summary of AI + IQ: https://lifearchitect.ai/iq-testing-ai/
Microsoft’s Bing Chat prompt (10/Feb/2023)
Exclusive. This is the entire Microsoft Bing Chat prompt in plain text.
It is very similar to the Leta AI prompt and the DeepMind Sparrow prompt.
At the time of writing, this full text does not appear anywhere else on the web.
Take a look: https://lifearchitect.ai/bing-chat/
Additionally, here’s some comparisons between responses from OpenAI ChatGPT and Microsoft Bing Chat: https://www.businessinsider.com/chatgpt-ai-compared-to-new-bing-search-chatbot-answers-2023-2
WordPress testing GPT-3 and DALL-E 2 (Jan/2023)
WordPress is the largest content management platform in the world, powering 36% of the top 1 million websites, including LifeArchitect.ai. Codenamed ‘Jetpack AI’, they are now testing content creation using GPT-3 + DALL-E 2:
We have introduced 2 new blocks for WordPress.com customers in partnership with OpenAI:
AI Paragraph will auto-complete your post. Insert the block to generate a new paragraph from your existing content, or craft an example post from only a title
AI Image will let you create new images based on the text prompt.
Read more: https://wordpress.com/forums/topic/jetpack-ai/ (archive)
How much is ChatGPT costing OpenAI? (10/Feb/2023)
Exclusive. We have to make a few assumptions to get an answer here, and it’s a bit of fun!
Assumptions:
Users. As of Jan/2023, ChatGPT has 100M monthly unique users according to UBS. Ark Invest gives a different figure of 10M unique daily users. We’ll use Ark’s figure.
Cost. Inference is expensive. ChatGPT’s inference costs are ‘eye-watering’ according to their CEO. In a reply to Elon Musk, he later said that each conversation costs ‘single-digit cents per chat’. GPT-3.5 is billed out at 2c per 750 words (1,000 tokens) for both prompt + response (question + answer). This includes OpenAI’s small profit margin, but it’s a decent starting point. And we’ll double this to 4c for a standard conversation.
So, as of Jan/2023…
Every day, ChatGPT costs the company @ 10M users * 4c = $400,000.
Every month, ChatGPT costs the company $12,000,000.
Not a bad marketing budget!
Here’s my link to this calculation.
Turnitin with ChatGPT detection capability (13/Jan/2023)
As noted several times in The Memo 10/Dec/2022 edition, it is next to impossible to detect text written by AI. However, with academics howling, Turnitin are giving it a go. Turnitin is used by over 34 million students in over 15,000 institutions in 153 countries, including at our Aussie universities.
Read more: https://www.turnitin.com/blog/sneak-preview-of-turnitins-ai-writing-and-chatgpt-detection-capability
David Guetta uses ChatGPT + uberduck.ai to emulate Eminem (4/Feb/2023)
If you think this AI stuff is getting popular now that it is hitting so many different industries, then you’re right…
Lyrics by ChatGPT: https://chat.openai.com/
Voice by Uberduck (sign up): https://app.uberduck.ai/speak#mode=tts-basic&voice=zwf
Watch the video via Twitter:
Leta is back for Episode 66 (6/Feb/2023)
Now in her third year, she’s still here with the original and raw GPT-3 davinci engine from 2020. She looks exactly the same, but I look a bit different in this episode…
Watch:
The GPT-3 Family: 50+ models (Feb/2023)
Exclusive. This is the most resource-intensive visualization I’ve ever put together. It should have been easy, but OpenAI’s documentation is… developing.
This draft is being provided to paid readers of The Memo early, and will be published later in the week. After removing duplicates, we found a total of 62 unique models.