The Memo - 20/Apr/2023
The smartest person in the world uses GPT-4 as an assistant, Stability AI's StableLM 7B & 65B, China's new AI laws, and much more!
FOR IMMEDIATE RELEASE: 20/Apr/2023
OpenAI President Greg Brockman (13/Apr/2023):
The upcoming transformative technological change of AI is something that is simultaneously cause for optimism and concern — the whole range of emotions is justified and is shared by people within OpenAI, too.
It’s a special opportunity and obligation for us all to be alive at this time,
to have a chance to design the future together.
Welcome back to The Memo.
This is another very long edition, including policy analysis of Beijing’s strict new AI measures, and the EFF’s legal summary of text-to-image models and datasets.
In the Toys to play with section, we look at GPT-4 generated food menus, my favourite macOS tool to use ChatGPT/GPT-4 with a shortcut key, and a new Whisper/GPT-4 language app for Android, 20+ interfaces for ChatGPT(!), film by GPT-4/Midjourney/Kaiber, and much more…
The BIG Stuff
Stability AI releases StableLM 7B, 65B coming soon (20/Apr/2023)
As forecast in editions of The Memo for the last few weeks, Stability AI (the people behind Stable Diffusion) have finished training the 3B and 7B versions of their StableLM language models, with a 65B-parameter version due shortly. Trained on up to 1.5T tokens (>24:1), these models are very close to the scale of DeepMind Chinchilla 70B announced this time last year (Apr/2022). Instruct-tuned versions are also available ‘using a combination of five recent datasets for conversational agents: Stanford's Alpaca, Nomic-AI's gpt4all, RyokoAI's ShareGPT52K datasets, Databricks labs' Dolly, and Anthropic's HH’.
The models are licensed under Creative Commons CC BY-SA-4.0. My testing showed that the chat version of StableLM 7B seems to be pretty poor, though like Chinchilla 70B I do expect the StableLM 65B model to outperform GPT-3 175B on some benchmarks.
Announcement by Stability AI with example screenshots.
View my timeline of language models: https://lifearchitect.ai/timeline/
Exclusive: The smartest person in the world uses GPT-4 as an assistant (13/Apr/2023)
Many of you know of my former work in the human intelligence and gifted education fields. But did you know that I worked closely with Professor Miraca Gross, the woman responsible for finding and nurturing child prodigy Terence Tao back in the 1980s?
(Bonus + sidenote: Terry was also invited to write a foreword to my 2016 book, Bright. That book went on to be featured at Elon Musk’s school, at major universities, and was even sent to the Moon. Readers will find a complimentary copy at the end of this edition.)
Terry has an IQ above 220. The numbers get a bit fuzzy above IQ 200, but statistically he is in the >99.9999999995th percentile; or 1 in >190 billion people. He attended Flinders University in Adelaide (my alma mater) when he was 9 years old, and became a Professor at UCLA by the age of 24. You can read more about him on wiki or briefly in my article 98, 99… finding the right classroom for your child.
As perhaps the quantifiably smartest person in the world, Terry is a great yardstick for human vs machine intelligence and ‘integrated AI’. He recently told a maths forum:
Today was the first day that I could definitively say that #GPT4 has saved me a significant amount of tedious work. As part of my responsibilities as chair of the ICM Structure Committee, I needed to gather various statistics on the speakers at the previous ICM (for instance, how many speakers there were for each section, taking into account that some speakers were jointly assigned to multiple sections). The raw data (involving about 200 speakers) was not available to me in spreadsheet form, but instead in a number of tables in web pages and PDFs. In the past I would have resigned myself to the tedious task of first manually entering the data into a spreadsheet and then looking up various spreadsheet functions to work out how to calculate exactly what I needed; but both tasks were easily accomplished in a few minutes by GPT4, and the process was even somewhat enjoyable (with the only tedious aspect being the cut-and-paste between the raw data, GPT4, and the spreadsheet).
Am now looking forward to native integration of AI into the various software tools that I use, so that even the cut-and-paste step can be omitted. (Just being able to resolve >90% of LaTeX compilation issues automatically would be wonderful...)
Here is one of the prompts that Terry used:
Read Terry’s post: https://mathstodon.xyz/@tao/110172426733603359
Exclusive: Sunsetting large language models: AI21, OpenAI (Mar/2023)
In Mar/2023, OpenAI also gave just a few days notice before quietly removing the GPT-3.5 base model. According to many, this was the most powerful model: the non-instruction tuned (raw) code-davinci-002 model. The removal was discussed on Twitter and in the OpenAI forums, and you can visualize the model’s place in my GPT-3 family chart of models. (Note that the model is still available via Microsoft Azure. It should also be noted that OpenAI’s older GPT-3 models are still available, including GPT-3 davinci 175B which celebrates its 3-year anniversary on 28/May/2023.)
Some of the reasons for removing the powerful code-davinci-002 model may include:
Cost. The base model may have been more expensive when running inference. But users are prepared to pay for the base model.
Competition. Model outputs can be used to (illegally) train new instruction-tuned models like Stanford’s Alpaca. But Stanford used the instruction-tuned text-davinci-003.
Safety. Keep users within guardrails for social and political reasons. But why is the base version of davinci still available?
Proprietary/enterprise use. As noted, Microsoft Azure still provides the model via their enterprise offerings, allowing higher revenues from large corporations.
The issue of AI labs opening and then later removing models is of grave concern, and should serve as a reminder to organizations that they need to introduce redundancy into their AI setup. While the maxim ‘not your server, not your data’ rings true, APIs to models running on managed servers are still the best way to access powerful intelligence, and local or on-premise inference runs a distant second. I’ve previously compared this with leasing a Boeing 787 Dreamliner (GPT-4) versus building your own little Cessna (Flan-T5-xxl), or worse, a paper airplane (Alpaca, GPT4All, and the current crop of laptop models)!
Here’s the related viz:
Evolving models (13/Apr/2023)
Further to the OpenAI President’s quote at the beginning of this edition, he also mentioned that:
…there are creative ideas people don’t often discuss which can improve the safety landscape in surprising ways — for example, it’s easy to create a continuum of incrementally-better AIs (such as by deploying subsequent checkpoints of a given training run), which presents a safety opportunity very unlike our historical approach of infrequent major model upgrades.
It is likely that the concept of rolling out a new version of a language model (like GPT-2, GPT-3, GPT-4) every year or two is a thing of the past. Expect to see ‘evolving’ models soon, and then ‘continuous learning’ models—those that can learn from users and data in realtime—next.
Apple mixed-reality headset due in a few weeks (Apr/2023)
The rumour mill has packed more and more substance behind the news: Apple will release a new ‘mixed-reality’ (AR/VR) headset in Jun/2023. Bloomberg has the details (16/Apr/2023). I believe that this headset will be a perfect platform for easy interaction with large language models. Consider these use cases:
Personalized chatbot backed by GPT-n.
Learning and ‘injecting’ personalized knowledge via private tutors.
Socialisation and conversation (including emails) via large language models: consolidate/simplify writing, and consolidate/simplify reading.
Creating documents (doc, xls, ppt) rapidly via large language models.
Creating text-to-video (or speech-to-video) instantly (see video below).
Creating entire worlds and universes via text or speech.
Using imagination to solve any problem that can be solved using language…
Most of this functionality is already available, it is just that this will now be strapped to our head and available to our eyeballs without pulling a phone from a pocket. Here’s a 10-second rendered video I put together using The Memo header image and Kaiber.ai:
The Interesting Stuff
Alibaba Tongyi Qianwen chatbot embedded in smart speakers (13/Apr/2023)
[Alibaba] unveiled Tongyi Qianwen, a large language model that will be embedded in its Tmall Genie smart speakers and workplace messaging platform DingTalk.
“We are at a technological watershed moment, driven by generative AI and cloud computing,” Zhang said.
Take a look (right-click > translate in your browser): https://tongyi.aliyun.com/
GPT-4 and PaLM now serving patients in the medical field (Apr/2023)
In my Dec/2021 report to the UN, I wrote extensively about how large language models will benefit the world. One of the fields I highlighted was health and wellbeing. We’re now seeing powerful and capable large language models writing messages to patients, and analyzing medical records via both OpenAI GPT-4 and Google PaLM 540B.
On Monday, Microsoft and Epic Systems announced that they are bringing OpenAI's GPT-4 AI language model into health care for use in drafting message responses from health care workers to patients and for use in analyzing medical records while looking for trends.
Read limited preview of the exclusive PaLM announce via Stat: https://archive.is/AZTbz
Drew Carey used ChatGPT and AI voice for his radio show (31/Mar/2023)
Carey used an artificially generated version of his voice [via ElevenLabs] to handle most of his DJ work, reading a script written by ChatGPT. His AI voice kicked off the show, introduced upcoming songs and recapped what listeners were hearing. As an experiment to see just how far AI could go on the radio, the episode was mostly a success.
Didi Neuron self-driving robotaxi launching soon (14/Apr/2023)
[Didi will] deploy self-developed robotaxis to the public on a 24/7 basis by 2025 [Alan: in about 20 months from this edition], which will complement its network of millions of drivered cars… Like most robotaxi companies, Didi opted to partner with OEMs to build its autonomous fleets. It’s so far used vehicles from Lincoln, BYD, Nissan and Volvo [in use for the Neuron].
…a spacious rectangular van with no steering wheel or driver’s seat (shown above). Instead, “Neuron”, what the car is called, features a large in-car infotainment screen and has a robotic arm that can pick up suitcases and hand passengers a bottle of water.
Elon Musk Creates New Artificial Intelligence Company X.AI + TruthGPT (15/Apr/2023)
As part of his AI ambitions, Mr. Musk has spent the past few months recruiting researchers with the goal of creating a rival effort to OpenAI, the artificial intelligence company that launched the viral chatbot ChatGPT in November, according to researchers familiar with the outreach. OpenAI has set off a fever pitch of investor interest in the sector…
[Elon] recently recruited Igor Babuschkin, a scientist at artificial intelligence lab DeepMind, owned by Alphabet Inc., to helm the new effort. He has also tried to recruit employees at OpenAI to join the new lab…
Read more via WSJ: https://archive.is/qzbbb
Elon is also talking about training a new model called ‘TruthGPT’. I remain unconvinced, but if you’d like to hear a little more of his thesis, read the article here via The Verge.
AI-generated image wins Sony World Photography Awards 2023 (13/Mar/2023)
REFUSAL OF THE PRIZE of the Sony World Photography Awards, Open Competition / Creative Category at the London Award ceremony.
“Thank you for selecting my image and making this a historic moment, as it is the first AI generated image to win in a prestigious international PHOTOGRAPHY competition.
How many of you knew or suspected that it was AI generated? Something about this doesn’t feel right, does it? AI images and photography should not compete with each other in an award like this. They are different entities. AI is not photography. Therefore I will not accept the award.
I applied as a cheeky monkey, to find out, if the competitions are prepared for AI images to enter. They are not… Many thanks. Boris.”
“The work [Sony] has chosen is the result of a complex interplay of prompt engineering, inpainting and outpainting [via OpenAI DALL-E 2] that draws on my wealth of photographic knowledge. For me, working with AI image generators is a co-creation, in which I am the director.”
The photo and award were later removed by Sony.
Read Boris’ take: https://www.eldagsen.com/sony-world-photography-awards-2023
The AI Alignment Problem (15/Apr/2023)
I had a great time speaking with Philosopher John Patrick Morgan about the AI Alignment Problem.
Read more: https://lifearchitect.ai/alignment/
Watch the video (49mins):
Of The Memo’s thousands of readers, many paid subscribers come from Google, using various pseudonyms. Now I’m sure it’s just a coincidence, but a few days after the release of this video, Google’s CEO echoed some of the statements in the video, saying: