Large language models are getting better at mimicking human creativity. That doesn’t mean they’re actually being creative, though.

AI is getting better at passing tests designed to measure human creativity. In a study published in Nature Scientific Reports today, AI chatbots achieved higher average scores than humans in the Alternate Uses Task, a test commonly used to assess this ability.

This study will add fuel to an ongoing debate among AI researchers about what it even means for a computer to pass tests devised for humans. The findings do not necessarily indicate that AIs are developing an ability to do something uniquely human. It could just be that AIs can pass creativity tests, not that… More.

Among the ideas discussed was whether there should be an independent agency to oversee certain aspects of the rapidly-developing technology, how companies could be more transparent and how the United States can stay ahead of China and other countries.

“The key point was really that it’s important for us to have a referee,” said Elon Musk, CEO of Tesla and X, during a break in the daylong forum. “It was a very civilized discussion, actually, among some of the smartest people in the world.”

Schumer will not necessarily take the tech executives’ advice as he works with colleagues on the politically difficult task of ensuring some oversight of the burgeoning sector. But he invited them to the meeting in hopes that they would give senators some realistic direction for meaningful regulation.

The versatile robot will help create a virtual representation of the facilities.

In a first for the UK’s National Trust, Boston Dynamics’ robotic dog Spot is being used to survey two Cold War weapons testing sites located in Orford Ness, Suffolk.

This is according to a report by the *BBC* published on Thursday.

Spot, a versatile quadruped robot, has drawn a lot of interest as well as clients in recent years for its cutting-edge capabilities and its many potential uses.

## Efficiency and speed.

“Here is how Generative AI can help in the Overall Generative AI in Software Development Life Cycle (SDLC) stages. Overall, we want to treat Generative AI as senior developer/architect with more accessibility.

- Requirements gathering: ChatGPT can significantly simplify the requirements gathering phase by building quick prototypes of complex applications. It also can minimize the risks of miscommunication in the process since the analyst and customer can align on the prototype before proceeding to the build phase.

- Design: DALL-E, another deep learning model developed by OpenAI to generate digital images from natural language descriptions, can contribute to the design of applications. In addition to providing user interface (UI) templates for common use cases, it also may eventually be deployed to ensure that the design of a given application meets regulatory criteria such as accessibility.

- Build: ChatGPT has the capability to generate code in different languages. It could be used to supplement developers by writing small components of code, thus enhancing the productivity of developers and software quality. It even can enable citizen developers to write code without the knowledge of programming language.

- Test: ChatGPT has a major role in the testing phase. It can be used to generate various test cases and to test the application just by giving prompts in natural language. It can be leveraged to fix any vulnerabilities that could be identified through processes such as Dynamic Code Analysis (DCA) and perform chaos testing to simulate worst-case scenarios to test the integrity of the application in a faster and cost-effective way.

Sony Semiconductor Solutions Corporation (SSS) has developed an energy harvesting module that uses electromagnetic wave noise energy to power IoT devices.

The new module leverages Sony’s tuner development process to generate power from electromagnetic wave noise from robots inside factories, monitors and lighting in offices, monitors and TVs in stores and homes, etc. in order to provide a stable power supply needed to run low-power IoT sensors and communications equipment.

The most exciting of all is the Apple Watch Series 9, which comes with Apple Silicon’s newly developed S9 chip. The chip boasts of a dual-core CPU with 5.6 billion transistors, 60% more than the previous S8 chip, which is in Apple’s Watch Series 8. The new watch has a four-core Neural Engine, which can carry out machine-learning tasks up to three times faster.

BAE Systems and QinetiQ have signed a framework agreement which will see both parties collaborate in the area of autonomous uncrewed air systems (UAS) and mission management systems.