The post Can Live Data Redefine Intelligence? appeared on BitcoinEthereumNews.com. At Token2049 Singapore’s Real World AI Summit, IoTeX and a coalition of industry partners unveiled the Real-World AI Foundry. The global initiative aims to define shared standards for artificial intelligence grounded in live, verifiable data. IoTeX Pushes Boundaries of AI and Blockchain Integration Sponsored Sponsored The Foundry seeks to tackle limitations typical to AI, including reliance on static, historical datasets that power prediction but lack adaptability to real-world environments. Real-world models (RWMs) are central to the project. They operate as multimodal AI systems designed to integrate data from machines, sensors, and human interaction. Unlike large language models (LLMs) or traditional machine learning trained on archives, RWMs aim to perceive live events, learn cause-and-effect, and respond dynamically. “IoTeX and its partners are attempting to move AI from abstract prediction to grounded action. The Real-World AI Foundry brings together enterprises, researchers, AI innovators, and infrastructure providers to co-architect an open foundation for intelligence that is live, verifiable, and aligned with human values,” said Raullen Chai, Co-Founder and CEO of IoTeX, in a statement shared with BeInCrypto. The initiative has attracted a broad alliance. Partners range from Vodafone and the Blockchain Association to crypto-native projects, including Theta Network, Filecoin (FIL), Aethir, Hashkey Chain, Drone Layer, and Taiko. Collectively, they have pledged to build under three guiding principles: Grounded — RWMs must be based on verified, real-time data. Open — Frameworks should be interoperable and open-source. Human — Governance must embed accountability and alignment with human values. Why the Timing Matters Sponsored Sponsored The launch comes as autonomous systems begin to influence sectors such as healthcare, energy, and mobility. Reliance on outdated or misaligned models poses increasing risks in these sectors. Traditional AI often struggles with context, novelty, and accountability, which are shortcomings that RWMs could address by training on live, trusted data. Still,… The post Can Live Data Redefine Intelligence? appeared on BitcoinEthereumNews.com. At Token2049 Singapore’s Real World AI Summit, IoTeX and a coalition of industry partners unveiled the Real-World AI Foundry. The global initiative aims to define shared standards for artificial intelligence grounded in live, verifiable data. IoTeX Pushes Boundaries of AI and Blockchain Integration Sponsored Sponsored The Foundry seeks to tackle limitations typical to AI, including reliance on static, historical datasets that power prediction but lack adaptability to real-world environments. Real-world models (RWMs) are central to the project. They operate as multimodal AI systems designed to integrate data from machines, sensors, and human interaction. Unlike large language models (LLMs) or traditional machine learning trained on archives, RWMs aim to perceive live events, learn cause-and-effect, and respond dynamically. “IoTeX and its partners are attempting to move AI from abstract prediction to grounded action. The Real-World AI Foundry brings together enterprises, researchers, AI innovators, and infrastructure providers to co-architect an open foundation for intelligence that is live, verifiable, and aligned with human values,” said Raullen Chai, Co-Founder and CEO of IoTeX, in a statement shared with BeInCrypto. The initiative has attracted a broad alliance. Partners range from Vodafone and the Blockchain Association to crypto-native projects, including Theta Network, Filecoin (FIL), Aethir, Hashkey Chain, Drone Layer, and Taiko. Collectively, they have pledged to build under three guiding principles: Grounded — RWMs must be based on verified, real-time data. Open — Frameworks should be interoperable and open-source. Human — Governance must embed accountability and alignment with human values. Why the Timing Matters Sponsored Sponsored The launch comes as autonomous systems begin to influence sectors such as healthcare, energy, and mobility. Reliance on outdated or misaligned models poses increasing risks in these sectors. Traditional AI often struggles with context, novelty, and accountability, which are shortcomings that RWMs could address by training on live, trusted data. Still,…

Can Live Data Redefine Intelligence?

2 min read

At Token2049 Singapore’s Real World AI Summit, IoTeX and a coalition of industry partners unveiled the Real-World AI Foundry.

The global initiative aims to define shared standards for artificial intelligence grounded in live, verifiable data.

IoTeX Pushes Boundaries of AI and Blockchain Integration

Sponsored

Sponsored

The Foundry seeks to tackle limitations typical to AI, including reliance on static, historical datasets that power prediction but lack adaptability to real-world environments.

Real-world models (RWMs) are central to the project. They operate as multimodal AI systems designed to integrate data from machines, sensors, and human interaction.

Unlike large language models (LLMs) or traditional machine learning trained on archives, RWMs aim to perceive live events, learn cause-and-effect, and respond dynamically.

The initiative has attracted a broad alliance. Partners range from Vodafone and the Blockchain Association to crypto-native projects, including Theta Network, Filecoin (FIL), Aethir, Hashkey Chain, Drone Layer, and Taiko.

Collectively, they have pledged to build under three guiding principles:

  • Grounded — RWMs must be based on verified, real-time data.
  • Open — Frameworks should be interoperable and open-source.
  • Human — Governance must embed accountability and alignment with human values.

Why the Timing Matters

Sponsored

Sponsored

The launch comes as autonomous systems begin to influence sectors such as healthcare, energy, and mobility. Reliance on outdated or misaligned models poses increasing risks in these sectors.

Traditional AI often struggles with context, novelty, and accountability, which are shortcomings that RWMs could address by training on live, trusted data.

Still, challenges remain. Achieving consensus across industries, safeguarding data ownership, and addressing liability in autonomous decision-making will likely spark debate. Critics may question whether a decentralized alliance can deliver coordination at scale.

Meanwhile, it is worth mentioning that the Foundry will not operate as a centralized entity. Instead, participants will contribute specialized inputs, ranging from infrastructure and data streams to research expertise and adoption pathways.

At the same time, they will collectively shape governance, quality standards, and interoperability requirements.

If successful, the initiative could establish Real-World AI as a new category alongside LLMs and generative AI. Its emphasis on multi-stakeholder governance contrasts sharply with Big Tech’s closed, proprietary approaches.

The Real-World AI Foundry is still in its early stages, and many technical and governance frameworks have yet to be finalized.

IOTEX Price Performance. Source: BeInCrypto

As of this writing, IOTEX, the network’s powering token, was trading for $0.0231, down by 1.12% in the last 24 hours.

Source: https://beincrypto.com/iotex-real-world-ai-foundry-reality/

Market Opportunity
SecondLive Logo
SecondLive Price(LIVE)
$0.00003385
$0.00003385$0.00003385
-11.54%
USD
SecondLive (LIVE) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

SHIB Price Prediction: Mixed Signals Point to $0.0000085 Target by February End

SHIB Price Prediction: Mixed Signals Point to $0.0000085 Target by February End

Technical analysis reveals SHIB trading near oversold levels with RSI at 35.06. Despite bearish MACD momentum, support levels suggest potential recovery toward $
Share
BlockChain News2026/02/04 16:04
Fed rate decision September 2025

Fed rate decision September 2025

The post Fed rate decision September 2025 appeared on BitcoinEthereumNews.com. WASHINGTON – The Federal Reserve on Wednesday approved a widely anticipated rate cut and signaled that two more are on the way before the end of the year as concerns intensified over the U.S. labor market. In an 11-to-1 vote signaling less dissent than Wall Street had anticipated, the Federal Open Market Committee lowered its benchmark overnight lending rate by a quarter percentage point. The decision puts the overnight funds rate in a range between 4.00%-4.25%. Newly-installed Governor Stephen Miran was the only policymaker voting against the quarter-point move, instead advocating for a half-point cut. Governors Michelle Bowman and Christopher Waller, looked at for possible additional dissents, both voted for the 25-basis point reduction. All were appointed by President Donald Trump, who has badgered the Fed all summer to cut not merely in its traditional quarter-point moves but to lower the fed funds rate quickly and aggressively. In the post-meeting statement, the committee again characterized economic activity as having “moderated” but added language saying that “job gains have slowed” and noted that inflation “has moved up and remains somewhat elevated.” Lower job growth and higher inflation are in conflict with the Fed’s twin goals of stable prices and full employment.  “Uncertainty about the economic outlook remains elevated” the Fed statement said. “The Committee is attentive to the risks to both sides of its dual mandate and judges that downside risks to employment have risen.” Markets showed mixed reaction to the developments, with the Dow Jones Industrial Average up more than 300 points but the S&P 500 and Nasdaq Composite posting losses. Treasury yields were modestly lower. At his post-meeting news conference, Fed Chair Jerome Powell echoed the concerns about the labor market. “The marked slowing in both the supply of and demand for workers is unusual in this less dynamic…
Share
BitcoinEthereumNews2025/09/18 02:44
SUI Price Prediction: Oversold Conditions Target $1.50-$1.85 Recovery by March 2026

SUI Price Prediction: Oversold Conditions Target $1.50-$1.85 Recovery by March 2026

Sui (SUI) trades at $1.13 with RSI at 28.11 indicating oversold conditions. Technical analysis suggests potential bounce toward $1.50-$1.85 targets as momentum
Share
BlockChain News2026/02/04 15:51