Microsoft President Demands Urgent Regulation for Artificial Intelligencet

Uncovering the Truth: Insights into the Inner Workings of the Global Economy

In the world of rocket science, computers have been an essential tool for half a century, playing a key role in the design, testing, and flight of rockets. But the latest generation of artificial intelligence programs has struggled to live up to expectations.

NPR asked rocket scientist Tiera Fletcher to review text and images about rocketry generated by the latest AI technology, including ChatGPT, the recently released chatbot from OpenAI. The results were disappointing. ChatGPT and other AI programs failed to accurately reproduce even the most basic equations of rocketry, with written descriptions that contained errors. Images generated by programs like OpenAI's DALL•E2 also proved insufficient, producing designs for rocket engines that appeared impressive but would fail in reality.

AI scientist and author Gary Marcus believes these failures reveal a fundamental problem with AI: they simply cannot figure out the facts. Unlike traditional computers used in rocketry, these AI programs do not come preloaded with equations. Instead, they study databases of text or images and generate rules based on patterns they find. Although this method can provide an approximation of human creativity, it falls short when it comes to factual information.

Sasha Luccioni, a research scientist for the AI company Hugging Face, believes the limitations of AI become clear when the program is asked to generate new material related to factual information. AI may someday help artists come up with new ideas, but for now, it cannot replace the critical thinking and expertise of a professional rocket scientist.

In conclusion, the latest AI technology has fallen short in its attempt to understand and replicate the science behind rocketry. While AI may have its uses in other fields, rocket science remains firmly in the realm of human expertise. .Read more...

Microsoft President Demands Urgent Regulation for Artificial Intelligence (Invests Billions in Chat-GPT...)

The president of Microsoft, Brad Smith, called for a "higher power" to oversee the rapidly advancing field of artificial intelligence (AI). In a recent blog post, Smith sounded the alarm about the lack of laws and regulations that govern the use of AI, and the potential consequences for society if left unchecked.

"The latest AI technologies require guardrails that cannot be established by tech companies alone," Smith warned. "Our own efforts and those of other like-minded organizations won't be enough."

Smith called for a "wider lens" on the impact of AI and a "broader dialogue" between tech companies and government stakeholders, but stopped short of calling for specific regulation. He identified three critical areas of concern: the need for responsible and ethical AI practices, the impact of AI on national security and economic competitiveness, and ensuring that AI serves society broadly, not narrowly.

Smith's call for action is a clear signal that the industry leaders recognize the urgency of the situation. "These issues are too important to be left to technologists alone," he said. "But it would be equally wrong to exclude the companies pioneering these technologies from the regulatory process."

As the field of AI continues to advance at breakneck speed, Smith's call for a "higher power" to oversee its development is a crucial step in ensuring that its impact on society is both positive and ethical. The world watches and waits as the tech giants and government stakeholders come together to determine the future of AI. Read more...

OpenAI's AI Training Raises Concerns Among Software Engineers: Will Jobs be Replaced by Advanced Technology?

OpenAI has triggered a rising sense of unease among software engineers, as it trains its artificial intelligence, ChatGPT, to code at scale. Reports have confirmed that OpenAI has hired contractors from America and Europe in the past six months, asking them to create data to train the AI to perform basic software engineering tasks.

The move by OpenAI, coming at a time of Microsoft's latest investment in ChatGPT and the launch of its premium version, ChatGPT Plus, has caused concern among software engineers that their jobs may be replaced by the sophisticated AI technology.

Confidential sources have revealed that a South American software developer was asked to participate in an unpaid coding test for OpenAI. The developer was required to approach a coding problem and explain the approach step-by-step in written English, instead of simply fixing it.

This training of the AI by OpenAI, the company behind the popular AI chatbot ChatGPT, has raised questions about its impact on various industries, including education, journalism, and law. The recent Seamfor report highlights the potential danger to software engineers, as the AI technology becomes more advanced and potentially replaces human coders.

The report also quoted another South American engineer, who was interviewed for an OpenAI contractor role. The engineer said, "As part of the process, I was assigned to find bugs in AI code and provide explanations on how to fix them. The company wants to feed the training data into its AI technology."

The growing reliance on ChatGPT has already led to its ban from universities in Bangalore, and the recent training of the AI technology has intensified concerns about its impact on professional careers. OpenAI's move to train its AI with software engineering codes has created a sense of unease among software engineers, raising questions about the future of their jobs in the face of advancing AI technology. Read more...

Revolutionizing Computer Vision AI: Introducing KAN - The Ultimate Solution Accelerator for Edge Applications

KAN: A Breakthrough in the Creation and Management of Computer Vision Edge AI Applications

In a major development to tackle the challenges of building scalable computer vision AI solutions, we are proud to announce the release of KubeAI Application Nucleus for edge - KAN. This solution accelerator, which means "to watch" or "to see" in Mandarin, brings a new level of ease and control to the world of computer vision AI applications.

Edge AI applications hold the potential to revolutionize the way organizations extract insights from unstructured data streams. With the ability to process data closer to its source, retail businesses can improve store operations and customer satisfaction through continuous analysis of customer behavior. Parking operators can use the technology to analyze vehicle patterns and improve parking lot utilization.

KAN represents a major step forward in reducing the complexity of building AI solutions at scale. With a single self-hosted platform for developing AI applications and deploying and operating them across edge environments, KAN eliminates the challenges of developing and operating scalable, distributed AI applications.

Developers now have the ability to create custom AI applications using pre-built models or creating their own with Azure Custom Vision or other tools, all within a matter of minutes. These applications can analyze camera and sensor data, process unstructured data, and export structured output close to the data source.

Designed with machine learning operations in mind, KAN provides support for active learning, continuous training, and data gathering using ML models running at the edge. This powerful solution seamlessly integrates with standard technologies such as Dapr, MQTT, and ONNX, and is self-managed, allowing it to be hosted on Kubernetes clusters anywhere, including on-premise, cloud, and multi-cloud environments.

KAN represents a game-changer in the field of computer vision AI applications, providing organizations with the control and flexibility they need to achieve their goals. With its unprecedented level of ease and simplicity, KAN is poised to revolutionize the way the world approaches computer vision AI Read more...

US Investors Pour Billions into China's AI Industry Despite Growing Scrutiny and National Security Concerns

The report released by CSET, a tech policy group based at Georgetown University in Washington, details the extent of US investment in China's AI sector. From 2015 to 2021, US investors, including the investment arms of tech giants Qualcomm and Intel, participated in nearly one-fifth of investments in Chinese AI companies. The 167 US investors were involved in 401 transactions, totaling a staggering $40.2 billion in investment and representing 37% of the total raised by Chinese AI companies during the six-year period.

The findings come at a time of increased scrutiny of US investments in Chinese tech, as President Biden prepares to unveil restrictions on US funding of Chinese tech firms. The US government is concerned about the transfer of valuable know-how and capital to Chinese tech companies that could advance Beijing's military capabilities.

However, the report reveals that US investors continue to put their money into Chinese AI companies, even after some have been added to a trade blacklist. For example, US investor GSR Ventures teamed up with China's IFlytek to invest in a Chinese AI company, despite the speech-recognition firm being blacklisted. Silicon Valley Bank and Wanxiang American Healthcare Investments Group also made investments in Chinese AI firms, including the controversial facial recognition technology firm SenseTime, before it was added to the same blacklist.

The report raises serious questions about the role of US investors in China's rapidly growing AI sector and the potential implications for US national security. As the Biden administration moves to limit US funding of Chinese tech firms, the findings of this report will undoubtedly play a crucial role in shaping the future of US investment in China's tech industry. Read More...

Thank you for being a subscriber to AI Today. If you enjoy our newsletter please share it. Thank you, your support is much appreciated!