Lifeboat Foundation

NVIDIA’s Blackwell GB200 AI servers are anticipated to see major traction, reaching 2 million units shipped in 2025 & utilizing new packaging tech.

NVIDIA To Overcome CoWoS Supply Chain Bottlenecks By Shifting To The Newer “PFLO” Standard, 420K Units Shipping This Year With Up To 2 Million Anticipated For 2025

The success of NVIDIA’s Hopper AI products last year not only uplifted the company’s economics to new heights but also revealed massive flaws in the supply chain. Due to these flaws, the products became victims of long order backlogs. The main culprits at that time were HBM & CoWoS supply, which was in a much inferior position to what it is today. Despite seeing massive upgrades, NVIDIA has decided to resolve CoWoS issues with its latest Blackwell product, as the firm is rumored to have switched to a newer packaging technology by 2025–2026.

Innovation For A Sustainable Global Energy Transformation — Dr. Roland Roesch, Ph.D. — Director, Innovation and Technology Centre, International Renewable Energy Agency (IRENA)

Dr. Roland Roesch, Ph.D. is Director, Innovation and Technology Centre (IITC), of the International Renewable Energy Agency (IRENA — https://www.irena.org/) where he oversees the Agency’s work on advising member countries in the area of technology status and roadmaps, energy planning, cost and markets and innovation policy frameworks.

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Our approach to analyzing and mitigating future risks posed by advanced AI models.

Google DeepMind has consistently pushed the boundaries of AI, developing models that have transformed our understanding of what’s possible. We believe that AI technology on the horizon will provide society with invaluable tools to help tackle critical global challenges, such as climate change, drug discovery, and economic productivity. At the same time, we recognize that as we continue to advance the frontier of AI capabilities, these breakthroughs may eventually come with new risks beyond those posed by present-day models.

Today, we are introducing our Frontier Safety Framework — a set of protocols for proactively identifying future AI capabilities that could cause severe harm and putting in place mechanisms to detect and mitigate them. Our Framework focuses on severe risks resulting from powerful capabilities at the model level, such as exceptional agency or sophisticated cyber capabilities. It is designed to complement our alignment research, which trains models to act in accordance with human values and societal goals, and Google’s existing suite of AI responsibility and safety practices.

Micius is considered quantum’s “Sputnik” moment, prompting American policymakers to funnel hundreds of millions of dollars into quantum information science via the National Quantum Initiative. Bills such as the Innovation and Competition Act of 2021 have provided $1.5 billion for communications research, including quantum technology. The Biden Administration’s proposed 2024 budget includes $25 billion for “emerging technologies” including AI and quantum. Ultimately, quantum’s awesome computing power will soon render all existing cryptography obsolete, presenting a security migraine for governments and corporations everywhere.

Quantum’s potential to turbocharge AI also applies to the simmering technology competition between the world’s superpowers. In 2021, the U.S. Commerce Department added eight Chinese quantum computing organizations to its Entity List, claiming they “support the military modernization of the People’s Liberation Army” and adopt American technologies to develop “counter-stealth and counter-submarine applications, and the ability to break encryption.”

These restrictions dovetail with a raft of measures targeting China’s AI ambitions, including last year blocking Nvida from selling AI chips to Chinese firms. The question is whether competition between the world’s top two economies stymies overall progress on AI and quantum—or pushes each nation to accelerate these technologies. The answer could have far-reaching consequences.

Qualcomm’s Snapdragon X Elite will eventually face competition in the ARM-based AI chipset space from MediaTek and NVIDIA, who have reportedly joined forces to co-develop a new SoC whose design is said to be finalized in the third quarter of this year. The upcoming silicon is said to support advanced technologies, including being mass produced on TSMC’s 3nm process, with the new entrant possibly competing with Apple’s M4 when comparing lithography.

The unnamed chipset from MediaTek and NVIDIA is rumored to fetch a price of $300 per unit, likely due to leveraging advanced nodes and packaging technologies

With the AI PC segment estimated to grow massively by 2027, MediaTek and NVIDIA want to pounce on this opportunity, giving this category a healthy dose of competition. The Taiwanese fabless semiconductor manufacturer has already received praise from Morgan Stanley analysts for its Dimensity 9,300, so there is no question that the company’s chip-making prowess has a gold-standard label. Add NVIDIA to the mix, and we could see an SoC that overtakes the competition in graphics performance, though Economic News Daily has not mentioned this.

The coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a global health problem that the WHO declared a pandemic. COVID-19 has resulted in a worldwide lockdown and threatened to topple the global economy. The mortality of COVID-19 is comparatively low compared with previous SARS outbreaks, but the rate of spread of the disease and its morbidity is alarming. This virus can be transmitted human-to-human through droplets and close contact, and people of all ages are susceptible to this virus. With the advancements in nanotechnology, their remarkable properties, including their ability to amplify signal, can be used for the development of nanobiosensors and nanoimaging techniques that can be used for early-stage detection along with other diagnostic tools.

From the article by Robin Hanson, a professor of economics who also holds degrees in physics and computer science.

So this remains my worry: our rapid rates of change in unconditional choices of cultural norms are not mostly driven by reason, but instead by a cultural evolution process that has…

I’ve been reading, thinking, and talking, trying to get clearer on what exactly are the culture problems I’m worried about, and how best to describe them. I seek descriptions not only easy for an outsider public to understand, but also for prestigious insider specialists to embrace.

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Disruptive innovations in technology, such as humanoid robots and electric vehicles, will lead to significant changes in labor, economy, and society, posing both opportunities and challenges for the future Questions to inspire discussion What are the predictions about the future of electric vehicles? —Tony Seba and hi.

What makes an economy “intelligent?”

It seems to boil down to mastering the latest technology in the most effectively self-serving way. Countries have been taking turns at some version of this for a long time.