Shocking: GPT-4b micro revealed, ‘Breakthrough’ AI model for longevity science, MIT Technology Review

Revolutionizing Longevity Science with AI: OpenAI’s Breakthrough

OpenAI has created an AI model for longevity science that is set to revolutionize the field. The model, called GPT-4b micro, was trained to suggest ways to re-engineer protein factors to increase their function. According to OpenAI, researchers used the model’s suggestions to change two of the Yamanaka factors to be more than 50 times as effective—at least according to some preliminary measures.

“Just across the board, the proteins seem better than what the scientists were able to produce by themselves,” says John Hallman, an OpenAI researcher. Hallman and OpenAI’s Aaron Jaech, as well as Rico Meinl from Retro, were the model’s lead developers. Outside scientists won’t be able to tell if the results are real until they’re published, something the companies say they are planning.

Unlocking the Secrets of Protein Design

The Challenge of Yamanaka Factors

The Yamanaka factors are a type of protein that plays a critical role in cellular reprogramming. However, they are notoriously difficult to engineer, due to their floppy and unstructured nature. Traditional methods for designing proteins have proven to be ineffective, leading researchers to seek out new approaches.

OpenAI’s GPT-4b micro model was trained on a vast amount of data, including examples of protein sequences from many species, as well as information on which proteins tend to interact with one another. This unique training dataset allowed the model to develop a new approach to protein design, one that is well-suited to the Yamanaka factors.

GPT-4b Micro: A New Approach to Protein Design

The GPT-4b micro model was used to suggest possible redesigns of the Yamanaka proteins. The model’s approach was based on a “few-shot” method, in which a user queries a chatbot by providing a series of examples with answers, followed by an example for the bot to respond to. In this case, the input was a set of known Yamanaka proteins, and the output was a set of redesigned proteins that were more effective.

According to OpenAI, the redesigned proteins were more than 50 times as effective as the original proteins. This is a significant improvement, and one that could have major implications for the field of cellular reprogramming.

Nuclear Power: A Shift in Public Support and Investment

Rising Public Support and Economic Incentives

Lately, the vibes have been good for nuclear power. Public support is building, and public and private funding have made the technology more economical in key markets. There’s also a swell of interest from major companies looking to power their data centers.

These shifts have been great for existing nuclear plants. Efforts are being made to boost their power output, extend the lifetime of old reactors, and even reopen facilities that have shut down. That’s good news for climate action, because nuclear power plants produce consistent electricity with very low greenhouse-gas emissions.

The US Nuclear Regulatory Commission has approved uprates totaling six gigawatts over the past two decades

This is a small but certainly significant fraction of the roughly 97 gigawatts of nuclear on the grid today. Any reactors kept online, reopened, or ramped up spell good news for emissions. However, expanding the nuclear fleet in the US will require not just making the most of existing assets, but building new reactors.

We’ll probably also need new reactors just to maintain the current fleet, since so many reactors are scheduled to be retired in the next couple of decades.

Advanced Nuclear Technologies: A Path Forward

Small Modular Reactors: A Cost-Effective Solution

Small modular reactors could help cut cost and construction times, and this could be a game-changer for the industry. Realistically, though, getting these first-of-their-kind projects off the ground will still require a lot of money and a sustained commitment to making them happen.

“The next four years are make or break for advanced nuclear,” says Jessica Lovering, cofounder at the Goo

Implications and Practical Aspects

Emissions Reduction and Climate Action

Nuclear power plants produce consistent electricity with very low greenhouse-gas emissions. This means that they can play a critical role in reducing emissions and contributing to climate action.

Global Nuclear Energy Landscape: A Comparative Analysis

In much of the world (China being a notable exception), building new nuclear capacity has historically been expensive and slow. However, the trends in the US and other countries are shifting, and this could have major implications for the global nuclear energy landscape.

Conclusion and Future Directions: A Call to Action

Summarizing the key findings, we can see that OpenAI’s breakthrough in protein design has major implications for the field of cellular reprogramming. The GPT-4b micro model has shown promise in redesigning Yamanaka factors, and this could have major benefits for the industry.

However, to realize the full potential of this technology, we need to address the challenges of building new reactors and maintaining existing fleets. This will require a sustained commitment to investment and research, as well as a willingness to adopt new technologies.

Ultimately, the future of nuclear energy is uncertain, but one thing is clear: it has the potential to play a major role in reducing emissions and contributing to climate action.