Cardano Foundation Partners with PUC-Rio for Blockchain Research

TheCryptoTimesPubblicato 2025-04-15Pubblicato ultima volta 2025-04-15

The Cardano Foundation has announced a new partnership with PUC-Rio, one of Brazil’s top universities, to work on blockchain research. 

This partnership, which was revealed on April 15th, 2025, in an announcement, will focus on developing blockchain technology in areas like finance, digital assets, decentralized organizations (DAOs), and blockchain economics. 

The Cardano Foundation and PUC-Rio will also focus on applying this technology to the energy sector, working together with Petrobras, Brazil’s state-owned oil company.

PUC-Rio, which is ranked as one of the best universities in Latin America, has a research group called Ledger Labs. This group will be working with the Cardano Foundation to explore how blockchain technology can be used in business and finance. 

The main goal is to find new ways to improve energy production and consumption, with a special focus on renewable energy. They plan to use blockchain to make these processes more efficient, secure, and transparent.

Frederik Gregaard, CEO of the Cardano Foundation, said, “At the core of blockchain advancement are education and innovation. Through our collaboration with esteemed academic institutions like PUC-Rio, the Cardano Foundation ensures that the next generation of developers, industry leaders, and regulators can harness this transformative technology to its fullest potential—creating solutions that address real-world challenges and drive positive global impact.”

The partnership isn’t just about research. It also includes organizing joint events, supporting social projects, and collaborating with other organizations. The Cardano Foundation will help PUC-Rio create Ada Labs for Blockchain Applications (A.L.B.A) at the university’s Ledger Labs. This is similar to a project they’ve done at Universidad Tecnológica Nacional in Argentina.

Leonardo Lima, Vice-Dean of PUC-Rio, shared his excitement about the partnership, saying, “Our partnership with the Cardano Foundation marks the beginning of the development of a series of use cases, not only in the energy industry but also in the field of philanthropy, with a focus on social impact projects.”

This partnership is the Cardano Foundation’s second collaboration with a Brazilian organization in 2025. The company also announced a partnership with SERPRO, Brazil’s largest public IT company. 

Rafael Fraga, the Cardano Foundation’s LATAM Business Development Lead, said, “We look forward to working closely with PUC-Rio and Petrobras to help shape education and enterprise efforts for Brazil’s blockchain developers and innovators.”

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Founder of Baixing.com: The Notion That Large Language Models Will Devour Everything, I Believe Half of It

Founder of Baixing.com: I Only Half-Believe the Saying “Large Language Models Will Devour Everything” Author: Wang Jianshuo, Founder of Baixing.com Many proclaim that large models are everything, but the author is skeptical. He argues that such sweeping claims often stem from a limited understanding of the future. Drawing parallels to past technologies like electricity and the internet—which were predicted to “devour everything” but didn’t—he suggests that large language models (LLMs) are better seen as a foundational base. Like electricity, this base is essential for modern development, but its real value emerges only when applied to specific scenarios through various “machines” or “tools” (e.g., Claude Code for programming, Claude Design for design). The author acknowledges that LLMs may indeed replace many existing software systems built on rigid rules, workflows, and forms (e.g., CRMs, SaaS tools), as these are precisely what LLMs excel at processing. However, he emphasizes that beyond software, elements like customer data, execution capabilities (e.g., booking a flight), trust, and physical-world interactions will not be “devoured.” Instead, he foresees that after streamlining existing software, LLMs will open up a larger space for innovative, next-generation applications. These new tools will likely feature fluid interfaces and rely less on fixed rules, unleashing greater creativity. The author cautions against short-sightedness, recalling how in 2004 many believed internet giants like Sina, Sohu, and NetEase would monopolize the market—only to be proven wrong by subsequent disruptions. In conclusion, while LLMs are a crucial foundation and a current focal point, the true mainstream of this wave lies in the diverse applications built atop them to solve concrete problems. The phrase “devour everything” is imprecise; the real opportunity lies in identifying and leveraging the areas where LLMs do bring transformative change.

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Founder of Baixing.com: The Notion That Large Language Models Will Devour Everything, I Believe Half of It

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Founder of Baixing.com: I Only Half Believe in the Notion that Large Language Models Devour Everything

The founder of Baixing Wang states that while large language models (LLMs) are an extremely important foundational technology—akin to electricity or the internet—he only "half believes" the notion that they will "consume everything." He argues that LLMs provide a base layer of intelligence, but real-world value and transformation come from integrating this intelligence into specific applications and devices designed for particular scenarios—like how electricity powers various appliances from washing machines to TVs. He agrees LLMs will likely consume or replace a significant portion of existing rule-based, workflow-driven software (e.g., many SaaS systems, CRMs), as these are precisely what LLMs excel at handling. However, numerous other elements—such as customer data, execution capabilities (e.g., booking a flight), trust, and physical-world interactions—will not be consumed. Wang emphasizes that after LLMs absorb certain software layers, they will open up a much larger space for innovation: new types of "streaming" software with less rigid interfaces, where fixed rules are managed by AI. This next wave of applications built on top of the stable LLM foundation is where the true mainstream opportunity lies. He cautions against the short-sightedness of declaring any technology as all-consuming, drawing parallels to past premature predictions about internet giants monopolizing the web. The key is to find opportunities within the areas LLMs do transform.

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Founder of Baixing.com: I Only Half Believe in the Notion that Large Language Models Devour Everything

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