3 CAMEL datasets released: Physics, Chemistry and Biology. Each dataset contains 20K problem-solution pairs, consisting of 25 topics, 25 subtopics and 32 problems for each "topic, subtopic" pair generated and solved by GPT4.

Web LLM is insane.

1) Go download the latest Chrome beta, which shipped WebGPU support: google.com/chrome/beta/

2) Now use a 7B-param LLM in your browser! mlc.ai/web-llm/

3) Marvel at the "How" section on their GitHub: https://github.com/mlc-ai/web-llm

NY financial regulator adopts virtual currency assessment rule

The regulation will require companies to meet rigorous standards for capitalization, cybersecurity protection, and anti-money laundering protocols, NYDFS said in a statement Monday.

“As the first prudential regulator of virtual currency in the nation, New York has created a framework that sets the highest standards for safety, soundness, and consumer protection while fostering responsible growth,” said NYDFS Superintendent Adrienne Harris. “This regulation provides the Department with additional tools and resources to regulate the virtual currency industry now and in the future as innovators create new products and use cases for digital assets.”

Today OpenAssistant released, we got a contender for open source chat!

The future of AI development depends heavily on high quality datasets and models being made publicly available, and that’s exactly what this project does.

https://huggingface.co/OpenAssistant

Meta AI announced DINOv2

The new Self-supervised Vision Transformer Model can be used as a backbone for almost all your CV tasks. No fine-tunning needed.

• Train CV models without the need for large amounts of labeled data.

• Multipurpose backbone: image classification, segmentation, image retrieval, and depth estimation.

• Learn features directly from images without relying on text descriptions, which can lead to a better understanding of local information.

• Can learn from any collection of images.

• The pretrained version of DINOv2 is already available and competes with CLIP and OpenCLIP on a wide array of tasks.

Code https://github.com/facebookresearch/dinov2

Demo https://dinov2.metademolab.com/

Huge announcements in the world of AI today from Adobe, Elon Musk, the NBA, and Meta.

Here's a rundown on everything you need to know:

1. Adobe adds Firefly to video editing

Edit videos using simple text commands, plus:

-AI color corrections/enhancements
-Animated text and motion graphics generation
-Matching B-roll footage
-Music and sound effects
-Auto-generated storyboards

2. Elon Musk reveals TruthGPT

In a recent interview, Elon Musk said he will start a maximum truth-seeking AI called ‘TruthGPT.’

The AI will try to understand the nature of the universe.

3. ChatGPT got featured in a new NBA commercial with Jack Harlow

ChatGPT has gone mainstream, fast.

Everyone is talking about ChatGPT and Generative AI.

Beyond the hype and novelty applications, its important to start thinking about how it impacts our economy and our businesses.

This is a good way to get your thinking started

This roadmap is a good place to start.

UK’s new technology department to tackle country’s metaverse, Web3 strategy

The U.K.'s newly formed Department of Science, Innovation and Technology will advance the country's metaverse and Web3 strategy.

The country’s 2023 Spring Budget, released in March, said the government wanted to “lead on the future of web technology, sometimes known as Web3 or the metaverse.”

The new tech department, set up in February, will lead the charge in this work.

The department’s work will not focus on specific technologies like blockchain and virtual reality but will instead look at potential economic growth opportunities, investment and business models associated with concepts including the Metaverse and Web3, along with implications for regulation, according to the source.

NVIDIA just released a very impressive text-to-video paper

Video Latent Diffusion Models (Video LDMs) use a diffusion model in a compressed latent space to generate high-resolution videos.

Here's a brief overview of how it works:

1. Pre-train image LDM on a dataset of images.

2. Turn the image LDM into a Video LDM by adding temporal layers to model video frames.

3. Fine-tune the Video LDM on encoded video sequences to create a video generator.

4. Temporally align diffusion model upsamplers to generate high-resolution videos.

5. Validate Video LDM on real driving videos of 512x1024 resolution, achieving state-of-the-art performance.

6. Apply the approach in creative content creation with text-to-video modeling.

Paper: https://arxiv.org/abs/2304.08818

New smart glasses tell u what to say on dates using GPT-4

A team of crafty student researchers at Stanford University have come up with a pair of smart glasses that can display the output of OpenAI's GPT-4 large language model — potentially giving you a leg up during the next job interview, or even coaching you during your next date.

The device, dubbed rizzGPT, offers its wearer "real-time Charisma as a Service" (CaaS) and "listens to your conversation and tells you exactly what to say next," as Stanford student Bryan Hau-Ping Chiang explained in a recent tweet.

The glasses were made using a monocle-like device that can be snapped onto practically any glasses, built and donated by Brilliant Labs. It features a camera, microphone, and a high-resolution display that can output text generated by GPT-4.

OpenAI's speech recognition software, Whisper, allows the glasses to feed speech directly to the chatbot, which can generate answers in a matter of seconds to its wearer.

This paper provides a comprehensive analysis of GPT-4, an AI chatbot, and its potential applications, benefits, limitations, and risks in the field of Medicine.

The authors discuss the potential of GPT-4 in medical diagnostics, patient care, and medical education, as well as the ethical, legal, and security concerns surrounding its use.

Key messages:

1. GPT-4 has shown promising results in medical diagnostics, patient care, and medical education, but several challenges need to be addressed.

2. Ethical, legal, and security concerns are crucial factors that need to be considered when implementing GPT-4 in healthcare.

3. Ensuring data privacy and addressing biases in the AI model are essential to ensure the safe and responsible use of GPT-4 in medicine.

This paper is worth reading because it offers a well-rounded understanding of GPT-4's potential in revolutionizing Healthcare while also highlighting the challenges and concerns that need to be addressed to ensure its safe and responsible use.

EU lawmakers voted 517 in favor of MiCA, making it the first major jurisdiction in the world to introduce comprehensive crypto laws. It also voted 529 in favor of a separate law called which would require crypto operators to identify their customers.

Amazon to power 3M's clinical AI development

3M Health Information Systems announced this week it is partnering with Amazon Web Services to use Amazon’s machine learning and generative AI models to improve 3M products, including its AI medical scribe product, Fluency Align. 

The news comes on the heels of Nuance announcing plans to integrate GPT-4 into its DAX medical scribe product.

The race to integrate large language models like GPT-4 into health care products has swiftly sparked concerns among experts who say it’s not clear yet whether the tools are accurate or reliable enough for use in medicine. 

Apparently, Google Brain team just merged with DeepMind.

Google Brain + DeepMind = Google DeepMind

⚡️Yokosuka becomes Japan's first city to use ChatGPT for administrative tasks

The city of Yokosuka in Kanagawa Prefecture has a few claims to fame: It’s home to a major U.S. naval base, it’s the birthplace of former Prime Minister Junichiro Koizumi, and it lends its name to a local variation of Japanese curry.

On Thursday, it staked out a new claim as the first municipality in the country to use ChatGPT in its municipal offices.

Roughly 4,000 employees at Yokosuka’s municipal government office began using the artificial intelligence-powered chatbot, which was created by OpenAI late last year, for a one-month trial in efforts to improve operations.

Greg Brockman’s TED talk demoed ChatGPT plugins.

Right away he had:
- ChatGPT create a meal idea
- DALL-E generate an image of it
- Retrieval save the chat
- Instacart add the ingredients from memory to the cart
- Zapier create & send a Tweet about it

This is the future.

AI talent is flowing from Silicon Valley to biotech (It used to be the opposite). It's going to be fun to watch what happens in that space.

New capabilities in Bard will help programmers and software developers with code generation, debugging and code explanation. It’s an exciting next step in how generative AI can accelerate innovation across industries.

Amazing! New paper shows biological age rapidly increases during stress & reverses when the stress is relieved.

In parallel to recent developments in like GPT-4, a group of scientists has recently proposed the use of neural tissue itself, carefully grown to recreate the structures of the animal brain, as a computational substrate.

Stablecoin transaction volume looks incredibly strong, even in the current market environment. Whatever people may say, the market data is clear.

People and businesses are adopting stablecoins because they offer them utility and value.