It increasingly looks like the EV market might play out not like the smartphone market but like the Android market: a tidal wave of new competitors and a war for market share.

Microsoft published a 155-pages long paper about the capabilities and limitations of an early GPT-4.

Quote from the abstract: GPT-4 could reasonably be viewed as an early (yet still incomplete) version of an AGI.

MUST READ: 59 car makers are actively building in Web3 and the Metaverse.

So check out this report from the team at Labs3, which includes:

- Loads of charts and data on which car companies are most active
- Industry outlook for use of Blockchain, NFTs and the Metaverse
- A VERY cool use case matrix covering the different applications and players

Brilliantly AI announced SightBot is a ChatGPT-powered chatbot you can chat with about biomedical research topics and receive responses with PubMed citations!

Italy’s decision to ban ChatGPT is likely to be just the start of OpenAI’s potential troubles in Europe.

Germany is contemplating following Italy’s lead. The U.K. data privacy regulator has warned companies that if they aren’t careful their use of generative AI models could land them in hot water too.

Some legal scholars are wondering if any large foundation model could ever really comply with Europe’s strict data privacy law, GDPR—and whether that means GDPR itself might need to be changed.

What's the benefit of tokenising everything on a Blockchain? $16 TRILLION! (Or 10% of Global GDP)...

That's the value of assets that Boston Consulting Group (BCG) forecast will be tokenised using Blockchain technology by 2030.

That's a very big number, and we're currently at a pretty low base today. So where and why are we going to see this forecast explosion in tokenisation of real-world and digital assets in the next 7-years?

The team at Rejolut (no, not the neo-bank) have pulled together some helpful case studies so you can catch-up quickly. They've included examples covering:

- Precious Metals
- Real Estate
- Artwork
- Agro Commodities
- Securities
- Medical and Pharmaceutical Products
- Finance
- Gaming...

...and they have put together a helpful forecast of how these sectors are likely to continue their path to adoption and innovation; including some of the ongoing challenges (e.g. practice-based evidence, trust, regulation and infrastructure).

Today Meta announced the Segment Anything Model (SAM) — a step toward the first foundation model for image segmentation.

SAM is capable of one-click segmentation of any object from any photo or video + zero-shot transfer to other segmentation tasks.

Have you ever wanted to do an experiment on LLMs and found that none of the existing model suites met your needs?

Eleuther AI designed a model suite that centers enabling scientific research as its primary goal.

Does One Large Model Rule Them All?

Predictions on the Future AI Ecosystem

Does the rise of large, general AI models means the future AI ecosystem is dominated by a single general model?

Singapore central bank and police have been helping banks to fine-tune their vetting approach when opening accounts for service providers in all types of digital assets.

The project has been ongoing for about six months, and an industry report outlining best practices in areas like due diligence and risk management may be published in the next two months.

Researchers at University of the Witwatersrand in Johannesburg, South Africa used an EMOTIV device to link a brain to the internet similar to IoT.

Dubbed Brainternet, the BCI project aims to "simplify a person's understanding of their own brain and the brains of others" through machine learning and interactivity.

Anthropic’s has a $5B, 4-year plan to take on OpenAI.

It plans to build a “frontier model” called “Claude-Next” 10 times more capable than GPT, but will require billions in spending over the next 18 months.

Google owns a 10% stake in the startup.

Global unicorn club by Cb Insights

The striking thing about this list, to me, is the preponderance of software companies.

MetaMask announced the launch of fiat currency purchase cryptocurrency function in its Portfolio Dapp, users can use debit or credit card, PayPal, Bank Transfer, or Instant ACH to buy crypto.

Bitcoin has had $3T in trading volume over the last 90 days, more than 3x Ethereum.

LLMs just hit a major milestone with the release of the new "Generative agents" paper.

By using LLMs, generative agents were able to simulate human-like behavior in an interactive sandbox inspired by The Sims.

The agent architecture extends Language Models to store a complete record of the agent's experiences using natural language, synthesize those memories over time into higher-level reflections, and retrieve them dynamically to plan behavior.

There are three components to it:
1. The memory stream, which records a comprehensive list of the agent's experiences

2. Reflection, which synthesizes memories into higher-level inferences over time

3. Planning, which translates those conclusions and the current environment into high-level action plans.

Paper: https://arxiv.org/abs/2304.03442
Demo: https://reverie.herokuapp.com/arXiv_Demo/

OpenAGI: When LLM Meets Domain Experts

OpenAGI is an open-source AGI research platform designed to offer complex, multi-step tasks.

OpenAGI formulates complex tasks as natural language queries serving as input to the Large Language Models.

The LLM subsequently selects, synthesizes, and executes models provided by Open AGI to address the task.

Paper https://arxiv.org/abs/2304.04370

GitHub https://github.com/agiresearch/OpenAGI