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"Now, the number of combinations of these columns grows exponentially with the number of columns. So if you have many, many columns-and we do in modern databases-you'll get up into millions and millions of attributes for each person. Now, if I start allowing myself to look at all of the combinations of these features-if you live in Beijing, and you ride bike to work, and you work in a certain job, and are a certain age-what's the probability you will have a certain disease or you will like my advertisement? Now I'm getting combinations of millions of attributes, and the number of such combinations is exponential; it gets to be the size of the number of atoms in the universe."

"The school will teach cyber skills to some of the UK's most gifted 16- to 19-year-olds. It will select on talent alone, looking in particular for exceptional problem solvers and logic fiends, regardless of wealth or family background, according to Alastair MacWillson, a driving force behind the initiative. "The cyber threat is the real threat facing the UK, and the problem it's causing the UK government and companies is growing exponentially," said MacWillson, chair of Qufaro, a not-for-profit organisation created by a consortium of cybersecurity experts for the purposes of education."

"…in about ten years or so, we will see the collapse of Moore's Law. In fact, already, we see a slowing down of Moore's Law. Computer power simply cannot maintain its rapid exponential rise using standard silicon technology. - Dr. Michio Kaku - 2012"

"Moore's Law (or the exponential growth of integrated circuits) is actually referring to the fifth paradigm of computation. Here's the list of the underlying technologies: (1) Electromechanical; (2) Vacuum Tube; (3) Relay; (4) Transistors; and (5) Integrated Circuits. Quantum computers may well be the sixth paradigm, given that they work in a fashion that is entirely different from "classical" computers"

"Tristan Harris presents on 1) why humans as a species are vulnerable to technology, 2) why it's so hard to solve the issues of social media algorithms, artificial intelligence, and exponential tech, and 3) what it will take to come together to avoid these existential threats."

"The technology is seemingly not the problem, and in some respects it is not the solution either. High productivity growth will come only to those that learn how to use it best"

"Late last year, IBM took the record for the largest quantum computing system with a processor that contained 433 quantum bits, or qubits, the fundamental building blocks of quantum information processing. Now, the company has set its sights on a much bigger target: a 100,000-qubit machine that it aims to build within 10 years."

"But the uniqueness of TSMC and its location on an island that the Chinese regime regards as part of the mainland is giving rise to strategic panic. Both the US and the EU are racing to try to ensure that they have 2nm chip-fabrication capability within their respective jurisdictions. The problem is that one cannot conjure up such capacity just by throwing money at it. TSMC itself has built a fabrication plant in Arizona. But in his speech marking the ceremonial opening of the facility last December, Morris Chang, the firm's founder, said that it could not find enough qualified American workers to run it. It was sending every new American recruit to Taiwan for 18 months of training and was even importing engineers from Taiwan to make the Arizona plant operational. Hopefully it will all be up and running before Xi decides to "do a Putin" and we will no longer to be able to have chips with everything."

"His immediate concern is that the internet will be flooded with false photos, videos and text, and the average person will "not be able to know what is true anymore." He is also worried that AI technologies will in time upend the job market. Today, chatbots such as ChatGPT tend to complement human workers, but they could replace paralegals, personal assistants, translators and others who handle rote tasks. "It takes away the drudge work," he said. "It might take away more than that." Down the road, he is worried that future versions of the technology pose a threat to humanity because they often learn unexpected behavior from the vast amounts of data they analyze. This becomes an issue, he said, as individuals and companies allow AI systems not only to generate their own computer code but actually to run that code on their own. And he fears a day when truly autonomous weapons - those killer robots - become reality."

"n a way, though, that's still the same phenomenon: the people in those situations lost boomerangs and Roman concrete because they didn't care anymore. They had more pressing concerns. So: loss of technology is not impossible. But to an innovative and large culture like modern human civilization, it's not really something that happens. It's just a fun trope for stories. Let's hope it remains that way."

"Moratoria on dangerous and unpredictable technologies have happened in the past. The UN gained widespread support for a pause on human cloning, for example. The debate now is about cloning human minds rather than bodies, but the question remains: how obvious must the danger become before artificial intelligence is viewed in a similar light?"

"Do the potential paying customers for these large models add up to enough money to keep the servers on? That's the 13 trillion dollar question, and the answer is the difference between WorldCom and Enron, or dotcoms and cryptocurrency. Though I don't have a certain answer to this question, I am skeptical. AI decision support is potentially valuable to practitioners. Accountants might value an AI tool's ability to draft a tax return. Radiologists might value the AI's guess about whether an X-ray suggests a cancerous mass. But with AIs' tendency to "hallucinate" and confabulate, there's an increasing recognition that these AI judgments require a "human in the loop" to carefully review their judgments. In other words, an AI-supported radiologist should spend exactly the same amount of time considering your X-ray, and then see if the AI agrees with their judgment, and, if not, they should take a closer look. AI should make radiology more expensive, in order to make it more accurate. But that's not the AI business model. AI pitchmen are explicit on this score: The purpose of AI, the source of its value, is its capacity to increase productivity, which is to say, it should allow workers to do more, which will allow their bosses to fire some of them, or get each one to do more work in the same time, or both. The entire investor case for AI is "companies will buy our products so they can do more with less." It's not "business custom­ers will buy our products so their products will cost more to make, but will be of higher quality.""

"The economist Oren Cass has a compelling answer for these concerns. He says they suffer from bias: the idea that this technological revolution is somehow unique, when we have lived through many epochs of innovation and upheaval. They also overestimate the pace of change (robots are a long way off from competing with humans in many areas) and assume that new kinds of jobs will not be created in the process."

"Many researchers steeped in these issues, including myself, expect that the most likely result of building a superhumanly smart AI, under anything remotely like the current circumstances, is that literally everyone on Earth will die. Not as in "maybe possibly some remote chance," but as in "that is the obvious thing that would happen." It's not that you can't, in principle, survive creating something much smarter than you; it's that it would require precision and preparation and new scientific insights, and probably not having AI systems composed of giant inscrutable arrays of fractional numbers."