Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 95

Watt’s Next? The AI Bros Discuss AI’s Impact On Entertainment And Energy

In this engaging new eighth episode of the AI Bros podcast, hosts John Lawson III and Bruce Burke delve into the dynamic world of artificial intelligence and its profound impact on various industries. The conversation kicks off with a discussion on the latest developments in AI, highlighting the massive investments being made by tech giants like Mark Zuckerberg, who recently acquired a significant stake in Scale AI. This move underscores the growing importance of data labeling in training AI models and the relentless pursuit of achieving Artificial General Intelligence (AGI).

The hosts explore the implications of AI on global infrastructure, particularly focusing on the energy demands required to support AI advancements. They discuss the necessity of building new data centers and the potential role of nuclear energy in meeting these demands. The conversation touches on the strategic moves by companies to secure energy resources, emphasizing the critical need for the U.S. to catch up with countries like China in terms of infrastructure development.

Transitioning to the realm of marketing and content creation, John and Bruce highlight how AI is revolutionizing these fields. They share insights into how AI tools are being used to automate tasks that were traditionally outsourced, such as virtual assistance, graphic generation, and scriptwriting. The hosts discuss the potential of AI to create high-quality content quickly and cost-effectively, as demonstrated by a recent AI-generated commercial aired during the NBA finals.

The episode also addresses the broader societal implications of AI, including the potential need for universal basic income (UBI) as AI continues to displace jobs. The hosts debate the feasibility of UBI in the U.S. and the challenges of implementing such a system. They reflect on historical technological advancements and the new job opportunities that AI might create, while acknowledging the uncertainty surrounding the pace and scale of these changes.

Throughout the episode, John and Bruce provide a balanced perspective on the opportunities and challenges presented by AI. They emphasize the importance of staying informed and adaptable in a rapidly evolving technological landscape. The hosts conclude with a forward-looking discussion on the future of AI in entertainment, speculating on the possibility of AI-generated feature films and the evolving role of AI in creative industries.

This episode is a must-listen for anyone interested in the intersection of technology, business, and society. It offers valuable insights into the transformative power of AI and its potential to reshape our world.

Join Bruce and John for the latest episode of The AI Bros Podcast. Subscribe, like, follow and share with your network. Thank you!

Continue reading “Watt’s Next? The AI Bros Discuss AI’s Impact On Entertainment And Energy” | >

MIT engineers grow “high-rise” 3D chips

The electronics industry is approaching a limit to the number of transistors that can be packed onto the surface of a computer chip. So, chip manufacturers are looking to build up rather than out.

Instead of squeezing ever-smaller transistors onto a single surface, the industry is aiming to stack multiple surfaces of transistors and semiconducting elements — akin to turning a ranch house into a high-rise. Such multilayered chips could handle exponentially more data and carry out many more complex functions than today’s electronics.

MIT researchers fabricated 3D chips with alternating layers of semiconducting material grown directly on top of each other. The method eliminates thick silicon between layers, leading to better and faster computation, for applications like more efficient AI hardware.

From spin glasses to quantum codes: Researchers develop optimal error correction algorithm

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due to suboptimal decoding.

The , called PLANAR, achieved a 25% reduction in logical error rates when applied to Google Quantum AI’s experimental data. This discovery revealed that a quarter of what the tech giant attributed to an “error floor” was actually caused by their decoding method, rather than genuine hardware limitations.

Quantum computers are extraordinarily sensitive to errors, making essential for practical applications.

Vision-language model creates plans for automated inspection of environments

Recent advances in the field of robotics have enabled the automation of various real-world tasks, ranging from the manufacturing or packaging of goods in many industry settings to the precise execution of minimally invasive surgical procedures. Robots could also be helpful for inspecting infrastructure and environments that are hazardous or difficult for humans to access, such as tunnels, dams, pipelines, railways and power plants.

Despite their promise for the safe assessment of real-world environments, currently, most inspections are still carried out by human agents. In recent years, some computer scientists have been trying to develop computational models that can effectively plan the trajectories that robots should follow when inspecting specific environments and ensure that they execute actions that will allow them to complete desired missions.

Researchers at Purdue University and LightSpeed Studios recently introduced a new training-free computational technique for generating plans based on written descriptions, which could guide the movements of robots as they inspect specific environments. Their proposed approach, outlined in a paper published on the arXiv preprint server, specifically relies on vision-language models (VLMs), which can process both images and written texts.

Multicore fiber testbed demonstrates precise optical clock signal transmission over 25 km

Researchers have shown, for the first time, that transmission of ultrastable optical signals from optical clocks across tens of kilometers of deployed multicore fiber is compatible with simultaneous transmission of telecommunications data.

The achievement demonstrates that these emerging high-capacity fiber optic networks could be used to connect optical clocks at various locations, enabling new scientific applications.

As global data demands continue to surge, multicore fiber is being installed to help overcome the limits of existing networks. These fibers pack multiple light-guiding cores into a single strand, greatly increasing capacity for applications like streaming, finance and artificial intelligence.

MIT’s Optical AI Chip That Could Revolutionize 6G at the Speed of Light

As more connected devices require greater bandwidth for activities like teleworking and cloud computing, managing the limited wireless spectrum shared by all users is becoming increasingly difficult.

To address this, engineers are turning to artificial intelligence.

Elon Musk: Digital Superintelligence, Multiplanetary Life, How to Be Useful

A fireside with Elon Musk at AI Startup School in San Francisco.

Before rockets and robots, Elon Musk was drilling holes through his office floor to borrow internet. In this candid talk, he walks through the early days of Zip2, the Falcon 1 launches that nearly ended SpaceX, and the “miracle” of Tesla surviving 2008.

He shares the thinking that guided him—building from first principles, doing useful things, and the belief that we’re in the middle of an intelligence big bang.

Chapters:

00:00 — Intro.
01:25 — His origin story.
02:00 — Dream to help build the internet.
04:40 — Zip2 and lessons learned.
08:00 — PayPal.
14:30 — Origin of SpaceX
18:30 — Building rockets from first principles.
23:50 — Lessons in leadership.
27:10 — Building up xAI
39:00 — Super intelligence and synthetic data.
39:30 — Multi-planetary future.
43:00 — Nueralink, AI safety and the singularity.

/* */