Summary: AI’s remarkable abilities, like those seen in ChatGPT, often seem conscious due to their human-like interactions. Yet, researchers suggest AI systems lack the intricacies of human consciousness. They argue that these systems don’t possess the embodied experiences or the neural mechanisms humans have. Therefore, equating AI’s abilities to genuine consciousness might be an oversimplification.
Key Facts:
AI has exploded onto the scene in recent years, bringing both promise and peril. Systems like ChatGPT and Stable Diffusion showcase the tremendous potential of AI to enhance productivity and creativity. Yet they also reveal a dark reality: the algorithms often reflect the same systemic prejudices and societal biases present in their training data.
While the corporate world has quickly capitalized on integrating generative AI systems, many experts urge caution, considering the critical flaws in how AI represents diversity. Whether it’s text generators reinforcing stereotypes or facial recognition exhibiting racial bias, the ethical challenges cannot be ignored.
From generating text that furthers stereotypes to producing discriminatory facial recognition results, biased AI poses ethical and social challenges.
The latest round of restrictions has left a huge blow to China’s AI aspirations, as per reports.
China’s tech firms are allegedly racing to secure Nvidia’s crucial graphics processing units (GPUs) after the latest embargo by the US on the components that support AI tech.
The latest round of restrictions has dealt a huge blow to China’s AI aspirations, leaving companies struggling to secure key components, according to a news report by South China Morning Post (SCMP) on Friday.
Researchers demonstrate how Text-to-SQL systems can lead to cyber attacks.
A team of researchers from the University of Sheffield has demonstrated that popular artificial intelligence applications like OpenAI’s ChatGPT, among five others, can be manipulated to produce potentially harmful Structured Query Language (SQL) commands and can be exploited to attack computer systems in the real world.
The applications they used in their study included BAIDU-UNIT, ChatGPT, AI2SQL, AIHELPERBOT, Text2SQL, and ToolSKE.
No AI announcements expected at Apple event on Monday.
Apple is reportedly spending a billion dollars a year in a major push for artificial intelligence. Over the last year, the AI boom has seen many of its tech adversaries investing millions and billions of dollars into large language models (LLMs) and conversational platforms.
Although the iPhone maker is hush about what is cooking in its AI laboratory, Interesting Engineering reported earlier that the company may be looking to revamp Siri with generative AI capabilities. Much like how OpenAI’s ChatGPT (Plus and Enterprise) can now generate content from voice commands, iPhone users could use Siri similarly.
“As sensors continue to evolve to be more skin-like, there is a need for robots to be smarter. Developments in sensors and artificial intelligence will need to go hand in hand”
Scientists at the University of British Columbia and Honda’s research institute have revealed the creation of a revolutionary soft sensor that mimics human skin in a press release. This highly sensitive, smart, and stretchable sensor is poised to reshape how machines interact with the world.
Offering a myriad of applications, the soft sensor takes cues from human skin in terms of both sensitivity and texture. It can make actions such as picking up a piece of soft fruit possible when applied to the surface of a prosthetic or robotic arm.
Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal Nature Communications (“First demonstration of in-memory computing crossbar using multi-level Cell FeFET”), the professor at the Technical University of Munich (TUM) applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.
I think crows are probably smarter. But we probably arent up to being able to reverse engineer brains of crows. Maybe just playing around at it.
Present list i believe is: 1. lab mice; 2. lab rats; 3. crows; 4. octopi; 5. pigs; 6. chimps; ending on the human brain.
The intelligent birds, thought to be a nuisance by some, learn from consequences and can recognize resemblance between objects.
