Lifeboat Foundation

ChatGPT is not going to replace Google if it keeps making things up.

After six decades we have finally reached controlled fusion “ignition.” Here is how it works and what it means (and doesn’t mean):

At the Lawrence Livermore National Lab (LLNL) the National Ignition Facility (NIF) starts with the Injection Laser System (ILS), a ytterbium-doped optical fiber laser (Master Oscillator) that produces a single very lower power, 1,053 nanometer (Infrared Light) beam. This single beam is split into 48 Pre-Amplifiers Modules (PAMs) that create four beams each (192 total). Each PAM conducts a two-stage amplification process via xenon flash lamps.

Self-coding and self-updating AI algorithms appear to be on the horizon. There are talks about Pitchfork AI, a top-secret Google Labs project that can independently code, refactor, and use both its own and other people’s code.

Continue reading “Google Labs unveils Pitchfork, an AI that can convert old code to new code and rewrite itself” »

Human preferences on any topic have become diverse. Coming up with a statement that the majority of the population agrees with seems to be a challenge. Researchers at DeepMind, an AI company, accepted this challenge, trained a large language model, and fine-tuned it. They have to assume that human preferences are static and homogeneous to build the model.

The model generates statements to maximize approval among a group of people with diverse preferences. The research team fine-tuned the 70 billion parameter model, which was provided by thousand moral and political questions, and human written responses were provided for those questions. Then a reward model was trained in order to give weight to different opinions. Their best model was able to achieve more than a 65 percent preference rate.

The model was very sensitive when they tested it by just feeding part of the responses of the group of people then, the rest of the people’s opinion, which was not included, had a significant variance. Thus, the individual contribution of each consensus is equally important. There are many complicated NLP tasks like reading comprehension, fluent language generation, etc., which helped form the foundations for this LLM.

Two years after DeepMind’s revolutionary AI swept a competition for predicting protein structures, researchers are building on AlphaFold’s success.

Artificial intelligence (AI) is transforming the Federal Government—and it’s up to you to make it work for your mission. Booz Allen can help. We deliver custom, secure solutions that allow government to responsibly unlock its potential.

Our AI experts, scientists, domain experts, and consultants understand the technologies that make AI possible, the policies that make it necessary, the business cases that make it strategic, and the solutions that make it powerful.

These Remote Carriers will supplement manned aircraft and support pilots in their tasks and missions.

A group led by Airbus has successfully tested the launch and operation of a Remote Carrier flight test demonstrator, a modified Airbus Do-DT25 drone, from a flying A400M.

Continue reading “Airbus successfully launches wingman drones from A400M” »

The rules will go into effect starting in 2023.

China has issued rules and guidelines that regulate the use of artificial intelligence within the country. The regulations are cautious when it comes to AI. This includes the trending AI chatbots, such as ChatGPT, AI-generated art, the many methods of utilizing AI in the health care sector and all forms of artificial intelligence, in general.

The Cyberspace Administration of China (CAC), has issued a set of rules to follow when incorporating AI. The CAC is the internet regulator and censor in China. The agency released guidelines on “deep synthesis”. The regulatory measures will take effect starting on Jan. 10, 2023.

Continue reading “China will regulate AI-generated content with a new set of regulations” »

Less than two weeks ago, OpenAI released ChatGPT, a powerful new chatbot that can communicate in plain English using an updated version of its AI system. While versions of GPT have been around for a while, this model has crossed a threshold: It’s genuinely useful for a wide range of tasks, from creating software to generating business ideas to writing a wedding toast. While previous generations of the system could technically do these things, the quality of the outputs was much lower than that produced by an average human. The new model is much better, often startlingly so.

Put simply: This is a very big deal.

We’re hitting a tipping point for artificial intelligence: With ChatGPT and other AI models that can communicate in plain English, write and revise text, and write code, the technology is suddenly becoming more useful to a broader population of people. This has huge implications. The ability to produce text and code on command means people are capable of producing more work, faster than ever before. Its ability to do different kinds of writing means it’s useful for many different kinds of businesses. Its capacity to respond to notes and revise its own work means there’s significant potential for hybrid human/AI work. Finally, we don’t yet know the limits of these models. All of this could mean sweeping changes for how — and what — work is done in the near future.

Continue reading “ChatGPT Is a Tipping Point for AI” »

My avatars were cartoonishly pornified, while my male colleagues got to be astronauts, explorers, and inventors.

When I tried the new viral AI avatar app Lensa, I was hoping to get results similar to some of my colleagues at MIT Technology Review. The digital retouching app was first launched in 2018 but has recently become wildly popular thanks to the addition of Magic Avatars, an AI-powered feature which generates digital portraits of people based on their selfies.

But while Lensa generated realistic yet flattering avatars for them—think astronauts, fierce warriors, and cool cover photos for electronic music albums— I got tons of nudes.