By MUSTAFA SULEYMAN -- time.com -- We are about to see the greatest redistribution of power in history. Over millennia, humanity has been shaped by successive waves of technology. The discovery of fire, the invention of the wheel, the harnessing of electricity—all were transformational moments for civilization. All were waves of technology that started small, with a few precarious experiments, but eventually they broke across the world. These waves followed a similar trajectory: breakthrough technologies were invented, delivered huge value, and so they proliferated, became more effective, cheaper, more widespread and were absorbed into the normal, ever-evolving fabric of human life.

We are now facing a new wave of technology, centered around AI but including synthetic biology, quantum computing, and abundant new sources of energy. In many respects it will repeat this pattern. Yet it will also depart from it in crucial ways only now becoming clear. Amidst all the hype, the hope, the fear, I think the fundamentals are getting lost; the unique characteristics of this wave are getting missed in the noise. Understanding them, seeing what, exactly, is changing, is critical to understanding the future. AI is different from previous waves of technology because of how it unleashes new powers and transforms existing power. This is the most underappreciated aspect of the technological revolution now underway. While all waves of technology create altered power structures in their wake, none have seen the raw proliferation of power like the one on its way.

Think of it like this. Previous era’s most powerful technologies were generally reserved to a small capital rich elite or national governments. Building a steam powered factory, an aircraft carrier or a nuclear power plant were costly, difficult and immense endeavors. With the leading technologies of our time, that’s no longer going to be true. If the last great tech wave—computers and the internet—was about broadcasting information, this new wave is all about doing. We are facing a step change in what’s possible for individual people to do, and at a previously unthinkable pace. AI is becoming more powerful and radically cheaper by the month—what was computationally impossible, or would cost tens of millions of dollars a few years ago, is now widespread.

by Nada Maucourant Atallah -- thenationalnews.com  -- When she stepped on to the platform amid enthusiastic cheers from her supporters, Lebanese powerlifter Joya Khairallah, 22, was faced with a steel bar loaded with several red plates weighing an impressive total of 183.5kg. This was an immense challenge for the young woman, weighing only 52kg, but she had to overcome it if she wanted to claim first-place at the 2023 International Powerlifting Federation (IPF) World Junior Championships. No one in her category had ever accomplished this feat, until August 29 in Cluj-Napoca in Romania, when Miss Khairallah firmly grasped the heavy bar and pulled it from the ground level to her hips, a movement called a “deadlift” - one of three lifts performed in powerlifting.

When she reached the lockout position, marking the end of the movement, she screamed in triumph and knelt to the floor, having just broken the world record. “After stepping on to the platform, I initially had doubts because I was exhausted, and my back was hurting, but I persevered, I got it and I won,” she told The National in Beirut during her first training session, a few days after the international competition. “There's no actual word that really describes how I felt. It feels wonderful, but I'm still a bit in denial,” she added. The Lebanese champion achieved a total of 428.5kg for the three lifts (bench, squat, and deadlift), setting yet another IPF Junior World Record in her weight class.

by venturebeat.com -- Gary Grossman Edelman - Generative AI is gaining wider adoption, particularly in business. Most recently, for instance, Walmart announced that it is rolling-out a gen AI app to 50,000 non-store employees. As reported by Axios, the app combines data from Walmart with third-party large language models (LLM) and can help employees with a range of tasks, from speeding up the drafting process, to serving as a creative partner, to summarizing large documents and more. Deployments such as this are helping to drive demand for graphical processing units (GPUs) needed to train powerful deep learning models. GPUs are specialized computing processors that execute programming instructions in parallel instead of sequentially — as do traditional central processing units (CPUs). According to the Wall Street Journal, training these models “can cost companies billions of dollars, thanks to the large volumes of data they need to ingest and analyze.” This includes all deep learning and foundational LLMs from GPT-4 to LaMDA — which power the ChatGPT and Bard chatbot applications, respectively.

Riding the generative AI wave

The gen AI trend is providing powerful momentum for Nvidia, the dominant supplier of these GPUs: The company announced eye-popping earnings for their most recent quarter. At least for Nvidia, it is a time of exuberance, as it seems nearly everyone is trying to get ahold of their GPUs. Erin Griffiths wrote in the New York Times that start-ups and investors are taking extraordinary measures to obtain these chips: “More than money, engineering talent, hype or even profits, tech companies this year are desperate for GPUs.” In his Stratechery newsletter this week, Ben Thompson refers to this as “Nvidia on the Mountaintop.” Adding to the momentum, Google and Nvidia announced a partnership whereby Google’s cloud customers will have greater access to technology powered by Nvidia’s GPUs. All of this points to the current scarcity of these chips in the face of surging demand. Does this current demand mark the peak moment for gen AI, or might it instead point to the beginning of the next wave of its development?

How generative tech is shaping the future of computing

by Zlatan Hrvacevic — The Port of Beirut has historically played a vital role in Lebanon’s economy, as a major cargo and …