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The U.S. and Allies' Secret Weapon Against China?
AGI Is Just Five Years Away. - Sam Altman
Welcome to AI Wire — your smart shortcut to all things AI without the jargon.
What we’ll cover today:
🌐 Can a U.S.-Led AI Alliance Change Everything?
⏳ AGI Is Just Five Years Away. - Sam Altman
💻 Next Generation Of Code With AI.
🔗 The Event Roundup.
OpenAI has outlined a bold vision to bring the “American Dream” into the AI age.
In a new blueprint shared at the Center for Strategic and International Studies, OpenAI proposed:
A U.S.-Led Alliance: A coalition starting with the U.S. and its neighbouring countries, expanding to allies worldwide.
Focus Areas:
Talent: Building a skilled workforce to support AI advancement.
Financing: Securing funds for AI infrastructure and research.
Supply Chains: Strengthening access to crucial resources and technologies.
Energy Infrastructure: OpenAI urges the U.S. to boost its energy capacity, even suggesting the U.S. Navy support nuclear energy expansion.
CEO Sam Altman highlights that limited computing resources are holding back AI progress.
To overcome this, OpenAI proposes trillions in investments for:
Data Centers
Semiconductor Manufacturing
Energy Projects
With the right backing, this alliance could launch a new AI era, putting the U.S. and its allies at the forefront.
What Do You Think About This AI Alliance Proposal? |
This article discusses OpenAI CEO Sam Altman's prediction that AGI could be achieved within five years with minimal societal disruption.
Meanwhile, Anthropic CEO Dario Amodei forecasts an AGI breakthrough in 2026-2027, emphasising the need for advanced data quality and massive funding.
Both leaders highlight AGI’s potential to surpass human intelligence but acknowledge significant resource challenges.
Altman cites trillions needed for infrastructure, and Amodei points to AI’s intelligence “room at the top.”
This is a tweet by Santiago.
With over 383.2K followers on Twitter, Santiago is a computer scientist and writer. He also teaches people deep-level machine learning.
In this, Santiago shared a video of 7 minutes describing the next generation of writing code with AI.
(A brand new integrated development environment based on Visual Studio Code created with AI in mind.)
Researchers have introduced FastGlioma, an AI tool that can detect residual brain tumour tissue within 10 seconds, providing real-time guidance during surgery.
Developed by teams at the University of Michigan and the University of California, San Francisco, this model has been trained on over 11,000 surgical specimens and 4 million microscopic images, achieving a 92% accuracy rate.
Nvidia plans to launch its “Jetson Thor” computing platform in the first half of 2025, providing the processing power needed to bring sophisticated humanoid robots to life.
The company aims to capitalise on recent breakthroughs in AI to enable robots to interact more autonomously and seamlessly with humans and their environments.
Computer software has been helping researchers to search and parse the research literature for decades.
Well before LLMs emerged, scientists were using machine learning and other algorithms to help identify particular studies or extract findings quickly from papers.
However the advent of systems such as ChatGPT has triggered a frenzy of interest in speeding up this process by combining LLMs with other software.
What do you think about today’s edition? |
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