General Intuition has raised $320 million to scale AI trained on millions of hours of gameplay, betting action data can help AI develop something closer to human intuition.
AI-driven trading platforms may enhance user engagement but could also lead to overconfidence, necessitating cautious decision-making.
The post Public integrates ChatGPT into investing platform, letting users trade via AI agents appeared first on Crypto Briefing.
AI agents could revolutionize Web3 by enhancing efficiency and participation, but they also introduce complex governance and regulatory challenges.
The post Optimism co-founder Karl Floersch says AI agents could unlock mainstream Web3 adoption appeared first on Crypto Briefing.
General Intuition's innovative AI training approach could revolutionize fields like robotics and autonomous navigation by enhancing spatial-temporal reasoning.
The post General Intuition raises $320M at $2B valuation to scale AI training with gameplay data appeared first on Crypto Briefing.
General Intuition has raised $320 million to scale AI trained on millions of hours of gameplay, betting action data can help AI develop something closer to human intuition.
Insider Brief PRESS RELEASE — NeuralTrust, the platform to secure AI agents, announced a $20 million seed round, the largest cybersecurity seed financing raised by an EU company to date. The round will fund engineering, deepening the integration across NeuralTrust’s products, and expansion across the European market, as enterprises move autonomous AI systems into production. The round […]
To celebrate its new status as No. 1 in JD Power's initial quality ranking among mainstream automakers, Ford is opening up about the challenges it has faced in recent years, especially around its reliance on automated systems in production and design. It turns out that those automated systems were not as robust as previously assumed, requiring Ford to hire experienced technicians - sometimes bringing back former employees - to correct errors made by the company's robots.
In Ford's view, AI is both powerful and prone to pitfalls. Its effectiveness depends entirely on the quality of the data used to train the AI models. In addition, the auto …
Read the full story at The Verge.
As enterprises deploy increasing numbers of AI agents across applications and organizations, the Linux Foundation on Wednesday announced plans to launch a new Agent Name Service framework designed to establish identity, ownership, and trust for these systems.
The ANS framework, which is expected to allow systems and users to verify who an agent represents, what permissions it has, and whether its code and operational history remain authentic and unchanged, will be based on the existing Domain Name System (DNS), the Foundation said in a statement.
Just like DNS translates human-readable website names into internet addresses, ANS aims to create a standardized naming and discovery layer for AI agents, with the ability for enterprises to publish agent identities through domains they already control, enabling other agents and systems to verify who an agent represents and discover information about its capabilities and ownership before interacting with it, it added.
This, the Foundation furt
As enterprises deploy increasing numbers of AI agents across applications and organizations, the Linux Foundation on Wednesday announced plans to launch a new Agent Name Service framework designed to establish identity, ownership, and trust for these systems.
The ANS framework, which is expected to allow systems and users to verify who an agent represents, what permissions it has, and whether its code and operational history remain authentic and unchanged, will be based on the existing Domain Name System (DNS), the Foundation said in a statement.
Just like DNS translates human-readable website names into internet addresses, ANS aims to create a standardized naming and discovery layer for AI agents, with the ability for enterprises to publish agent identities through domains they already control, enabling other agents and systems to verify who an agent represents and discover information about its capabilities and ownership before interacting with it, it added.
This, the Foundation furt