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Category: economics – Page 11

Grok 3 Is Now The Most Powerful Artificial Intelligence Model, And You Can Try It Free

In today’s AI news, Elon Musk’s AI company, xAI, has officially launched its latest flagship AI model, Grok 3. Released late on February 17, 2025, Grok 3 introduces significant advancements over its predecessor, Grok 2, and aims to compete with leading AI models such as OpenAI’s GPT-4o and Google’s Gemini.

In other advancements, Replit has transformed non-technical employees at Zillow into software developers. The real estate giant now routes over 100,000 home shoppers to agents using applications built by team members who had never written code before. This breakthrough stems from Replit’s new partnership with Anthropic and Google Cloud, which has enabled over 100,000 applications on Google Cloud Run.

Then, Wu Yonghui, a prestigious “Google Fellow” who worked at the US tech giant for 17 years, recently joined TikTok owner ByteDance to lead foundational research on artificial intelligence (AI), as the firm seeks to “explore the upper limit of intelligence”. Wu now works at ByteDance’s Seed department, which the Beijing-based company started in early 2023.

Meanwhile, large companies are not adopting AI as quickly as start-ups, AWS managing director Tanuja Randery says. The gap is leading to a “two-tier” AI economy as startups outpace corporations. Citing a new report from AWS, Randery said that European startups had integrated AI at pace over the last year while larger enterprises in the region were falling behind.

In videos, join Sara Bacha from Converge Technology Solutions as she delves into how GraphRAG outperforms traditional RAG by leveraging knowledge graphs and LLM to enhance data relationships and accuracy. Learn the benefits in development, production, and governance, making maintenance easier with better explainability and traceability.

Then, join 20VC host Harry Stebbings while he speaks with Jonathan Ross is the Founder & CEO of Groq, the creator of the world’s first Language Processing Unit (LPUTM). Prior to Groq, Jonathan began what became Google’s Tensor Processing Unit (TPU) as a 20% project where he designed and implemented the core elements of the first-generation TPU chip.

And, Can AI chatbots be trusted? Join IBM’s Jeff Crume as he delves into the complexities of AI errors, from innocent mistakes to deliberate lies. Discover how AI chatbots handle truth, generate hallucinations, and the essential principles behind AI transparency, fairness, and privacy.

Continue reading “Grok 3 Is Now The Most Powerful Artificial Intelligence Model, And You Can Try It Free” | >

Copper-Based Electrocatalysts: Using Corrosion for Efficient Biomass Upgrading

Researchers at NIMTE have turned metal corrosion into a tool for efficient biomass upgrading, achieving high HMF-to-BHMF conversion rates with a CoCuMW/CF electrode. Their findings offer a low-cost, sustainable solution for bio-based chemical production.

A research team led by Prof. Jian Zhang from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences (CAS) has harnessed metal corrosion to develop high-performance electrodes, facilitating the efficient and cost-effective upgrading of bio-based 5-hydroxymethylfurfural (HMF). Their findings were published in Chem Catalysis.

While corrosion is typically associated with material degradation and economic loss, researchers are now investigating its potential for advantageous applications, particularly in biomass upgrading.

Silicon Valley Software Engineers Horrified as They Can’t Easily Find Jobs Anymore

Possible beginnings of the Economic Singularity 🤖

“A seemingly endless wave of mass layoffs is ravaging the tech industry as startup fails skyrocket and tech giants shovel their operating budgets into the AI furnace.”

Silicon Valleys software engineers are finding their previously ironclad careers crumbling under the growing cost of AI development.

DARPA demos will test novel tech for building future large structures in space

Based on outstanding technical progress by research teams to date, DARPA has pivoted the third and final phase of its NOM4D (pronounced nō- mad) program[1] from planned further laboratory testing to conducting a pair of small-scale orbital demonstrations to evaluate novel materials and assembly processes in space.

As commercial space companies continue to expand access to orbit for U.S. economic and national security needs, a major roadblock for building large-scale structures in orbit remains: the size and weight limits imposed by a rocket’s cargo fairing. In 2022, DARPA introduced NOM4D to break this cargo-constraint mold by exploring a new paradigm. Instead of folding or compacting structures to fit them into a rocket fairing to be unfurled or deployed in space, DARPA proposed stowing novel lightweight raw materials in the rocket fairing that don’t need to be hardened for launch. The intent of this approach is to allow in-orbit construction of vastly larger and more mass-efficient structures than could ever fit in a rocket fairing. Additionally, this concept enables mass-efficient designs of structures that would sag under their own weight on Earth but are optimized for the low-gravity environment of space.

“Caltech [California Institute of Technology] and the University of Illinois Urbana-Champaign have demonstrated tremendous advances in the first two phases and have now partnered in Phase 3 with space-launch companies to conduct in-space testing of their novel assembly processes and materials,” said Andrew Detor, DARPA NOM4D program manager. “Originally, Phase 3 was going to be about making things more precisely in the lab than we did in Phase 2. But we said, ‘You know, the maturity is there, and there would be more impact if we took the capabilities we have now and actually go demonstrate them in space to show that it can be done.’ Pushing the performers to do a demo in space means they can’t just sweep challenges under the rug like they could in a lab. You better figure out how it’s going to survive in the space environment.”

We are Almost at the End of History | Technological Singularity

Curious about the societal shifts that AGI will bring, like Universal Basic Income or new forms of coexistence between humans and machines?

Want insights that help you make sense of this rapidly approaching future?
Join us for a journey through the challenges and opportunities of living alongside AGI.

With each video, we aim to inform, inspire, and ignite a conversation to ensure we’re all ready for the world that’s unfolding.

Videos used:

The New China Playbook by Keyu Jin

Send us a text (https://www.buzzsprout.com/twilio/text_messages/2405788/open_sms)

Join Heliox for a fascinating deep dive into the mind of Keyu Jin, one of the most insightful voices on China’s economic transformation. In this episode, we explore Jin’s unique perspective as both an academic heavyweight and seasoned financial advisor, examining how she bridges Eastern and Western viewpoints to decode China’s remarkable economic journey.

Learn about the innovative “mayor economy” concept that helped drive China’s unprecedented growth, and discover how cultural values shape economic decisions in unexpected ways. We unpack Jin’s analysis of China’s technological leap from manufacturing hub to digital innovator, and explore the fascinating “six wallets” phenomenon in Chinese society.

The episode also delves into China’s evolving role in the global financial system, examining the future of the RMB and digital currency innovations. Through Jin’s lens, we gain a nuanced understanding of China’s economic challenges and opportunities, moving beyond simplistic narratives to grasp the complex interplay of state intervention, cultural values, and generational shifts shaping the world’s second-largest economy.

Prof. Keyu Jin: What Americans GOT WRONG About China’s Economy (https://youtu.be/NCyOoXEXfuU?si=bnUYAE40Q59vDYHV)

Another Look at the Chinese Economy with Keyu Jin (https://youtu.be/HxejrWh7V_E?si=mNltyYZUyjm7x6YN)

Continue reading “The New China Playbook by Keyu Jin” | >

Global study finds dramatic disparities in progress toward Sustainable Development Goals

The Sustainable Development Goals (SDGs) constitute the leading global framework for achieving human progress, economic prosperity, and planetary health. This framework emphasizes issues such as public health, education for all, gender equality, zero hunger, adoption of clean and renewable energy, and biodiversity conservation. Yet, despite this comprehensive agenda, questions remain about how different nations navigate their own paths toward these goals.

A recent study, published in Nature Communications provides insights into the trajectories of 166 countries as they have worked toward the SDGs over the past two decades.

By applying and the Product Space methodology, commonly used in the field of complexity economics, the researchers constructed the “SDG Space of Nations.” The elaborate model shows that countries do not simply march in lockstep toward sustainable development; instead, they cluster into distinctive groups, each with its own strengths and specializations, sometimes quite unexpected.

Max Tegmark — Physics of Information

Information has become increasingly important in understanding the physical world around us, from ordinary computers to the underlying principles of fundamental physics, including quantum theory. How can information help discern physics? What can physics contribute to understanding information? And what about quantum information?

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Max Tegmark is Professor of Physics at Massachusetts Institute of Technology. He holds a BS in Physics and a BA in Economics from the Royal Institute of Technology in Sweden. He also earned a MA and PhD in physics from University of California, Berkeley.

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AI Has Rocked the Stock Market, But What Will It Do for the Economy?

Bloomberg on the Economic Singularity:

“If AI is about to get much cheaper, the path to an answer on its economic impact is going to get shorter. For workers nervously wondering if large language models will make their skills redundant, a lot is riding on which camp is right.”

For investors in artificial intelligence, the last week delivered a painful shock. The sudden appearance of DeepSeek — a Chinese AI firm boasting a world-class model developed at bargain-basement costs — triggered a massive selloff in Nvidia and other US tech champions.

What matters for the economy, though, is not the ups and downs of stock prices for the Magnificent Seven, but whether AI drives gains in productivity, and how those gains are divided up. For all the excitement, and the trillion-dollar valuations for AI firms, evidence of a boost to productivity remains thin on the ground.

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