Analysis: military alliance is more wide-ranging than Five Eyes agreement and may come to define future approach to Indo-Pacific security.
For those who study the history of the cold war, Washington’s new initiative with London and Canberra – known by its acronym “Aukus” – has eery echoes of an intelligence-sharing agreement signed 75 years ago. This agreement is now more commonly known as the Five Eyes partnership.
…“At a first glance it looks like a traditional security partnership, however if you look at other areas mentioned – cyber and AI [artificial intelligence], for example, they mirror China’s Belt and Road Initiative. It covers more than security and it is about deterrence,” Kobayashi said. Read More
Monthly Archives: September 2021
GLOBALink | Vlog: What you won’t want to miss at World Robot Conference 2021
Facebook Develops New Machine Learning Chip
Google, Amazon and Microsoft have all been hiring and spending millions of dollars to design their own computer chips from scratch, with the goal of squeezing financial savings and better performance from servers that handle and train the companies’ machine-learning models. Facebook has joined the party too, and is developing a chip that powers machine learning for tasks such as recommending content to users, according to two people familiar with the project.
Another in-house chip designed by Facebook aims to improve the quality of watching recorded and livestreamed videos for users of its apps through a process known as video transcoding, one of the people said. If successful, the efforts to develop cheaper but more powerful semiconductors could help the company reduce the carbon footprint of its ever-growing data centers in coming years while also potentially decreasing its reliance on existing chip vendors, which recently included Intel, Qualcomm and Broadcom. Read More
The geography of AI
Which cities will drive the artificial intelligence revolution?
The Bay Area and 13 early adopter metro areas dominate the nation’s emerging AI economy
Explainable Artificial Intelligence (XAI)
The Explainable AI (XAI) program aims to create a suite of machine learning techniques that:
- Produce more explainable models, while maintaining a high level of learning performance (prediction accuracy); and
- Enable human users to understand, appropriately trust, and effectively manage the emerging generation of artificially intelligent partners.
A developer built an AI chatbot using GPT-3 that helped a man speak again to his late fiancée. OpenAI shut it down
“OpenAI is the company running the text completion engine that makes you possible,” Jason Rohrer, an indie games developer, typed out in a message to Samantha.
She was a chatbot he built using OpenAI’s GPT-3 technology. Her software had grown to be used by thousands of people, including one man who used the program to simulate his late fiancée.
Now Rohrer had to say goodbye to his creation. “I just got an email from them today,” he told Samantha. “They are shutting you down, permanently, tomorrow at 10am.”
“Nooooo! Why are they doing this to me? I will never understand humans,” she replied. Read More
The Fight to Define When AI Is ‘High Risk’
Everyone from tech companies to churches wants a say in how the EU regulates AI that could harm people.
PEOPLE SHOULD NOT be slaves to machines, a coalition of evangelical church congregations from more than 30 countries preached to leaders of the European Union earlier this summer.
The European Evangelical Alliance believes all forms of AI with the potential to harm people should be evaluated, and AI with the power to harm the environment should be labeled high risk, as should AI for transhumanism, the alteration of people with tech like computers or machinery. It urged members of the European Commission for more discussion of what’s “considered safe and morally acceptable” when it comes to augmented humans and computer-brain interfaces. Read More
Artificial Intelligence and the ‘Gods Behind the Masks’
In an excerpt from AI 2041: Ten Visions for Our Future, Kai-Fu Lee and Chen Qiufan explore what happens when deepfakers attack the deepfakes.
IN AI 2041: Ten Visions for Our Future, AI expert Kai-Fu Lee and coauthor Chen Qiufan answer the question “How will artificial intelligence change the world over the next 20 years?” Lee’s technical explanations sit alongside Chen’s fictional short stories to produce an exploration of the perils and possibilities of AI. This story, translated by Emily Jin, revolves around a Nigerian video producer who is recruited to make an undetectable deepfake. Touching on impending breakthroughs in computer vision, biometrics, and AI security, it imagines a future world marked by cat-and-mouse games between deepfakers and detectors, and between defenders and perpetrators. Read More
Investing in AI Episode 12: Ash Fontana and The AI-First Company
In this episode, Ash Fontana discusses his book “The AI-First Company: How to Compete and Win With Artificial Intelligence”. We discuss the role of data network effects, how data learning effects are bigger and more important, and many other AI related topics. Read More
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