Google’s AI Advancement: Developing a ‘Thinking’ Model: Google is reportedly working on an advanced AI model that mimics human reasoning abilities, potentially in response to OpenAI’s recent developments in chain-of-thought prompting technology.
Key developments:
- Google is developing AI that more closely resembles human reasoning capabilities, likely for its Gemini platform.
- This development follows OpenAI’s introduction of o1-preview and o1-mini models for ChatGPT, which “spend more time thinking before they respond.”
- The new AI models are designed to excel at solving multi-step problems in fields such as math and coding.
Technical insights:
- The technology is based on chain-of-thought prompting, allowing the AI to work through multiple steps and consider various responses.
- This approach enables the AI to debate with itself about the best solution, similar to human thought processes.
- The new models are expected to require more processing power and energy compared to their predecessors.
Competitive landscape:
- Google’s progress in recent months has reportedly alleviated internal concerns about falling behind OpenAI.
- The development timeline for Google’s thinking AI remains unclear, but industry observers speculate it may be released in the near future.
- OpenAI, Meta, and Microsoft are also actively working on their own AI upgrades, intensifying competition in the field.
Potential implications:
- The introduction of more advanced AI models could significantly improve problem-solving capabilities in various domains.
- These developments may lead to more sophisticated AI applications in industries relying on complex decision-making processes.
- The increased processing power requirements may have implications for energy consumption and environmental impact.
Challenges and considerations:
- Google’s AI development plans are reportedly being slowed by ethical concerns and the desire to appear trustworthy.
- Competing interests within Google’s large organization may also be impacting the development process.
- The company will need to balance rapid innovation with responsible AI development practices.
Market and accessibility:
- OpenAI has restricted its o1-preview and o1-mini models to paid ChatGPT subscribers.
- It remains to be seen whether Google’s equivalent technology will require a Gemini Advanced plan, which currently costs $19.99 / £18.99 / AU$32.99 per month.
- The pricing strategy could impact the accessibility and adoption of these advanced AI capabilities.
Broader context: The development of ‘thinking’ AI models represents a significant step in the evolution of artificial intelligence, potentially bridging the gap between machine learning and human-like reasoning capabilities.
Looking ahead: As AI continues to advance, the industry may see increased focus on developing models that can handle more complex, multi-step problems while maintaining ethical standards and public trust. The success of these efforts could reshape the landscape of AI applications across various sectors.
Recent Stories
DOE fusion roadmap targets 2030s commercial deployment as AI drives $9B investment
The Department of Energy has released a new roadmap targeting commercial-scale fusion power deployment by the mid-2030s, though the plan lacks specific funding commitments and relies on scientific breakthroughs that have eluded researchers for decades. The strategy emphasizes public-private partnerships and positions AI as both a research tool and motivation for developing fusion energy to meet data centers' growing electricity demands. The big picture: The DOE's roadmap aims to "deliver the public infrastructure that supports the fusion private sector scale up in the 2030s," but acknowledges it cannot commit to specific funding levels and remains subject to Congressional appropriations. Why...
Oct 17, 2025Tying it all together: Credo’s purple cables power the $4B AI data center boom
Credo, a Silicon Valley semiconductor company specializing in data center cables and chips, has seen its stock price more than double this year to $143.61, following a 245% surge in 2024. The company's signature purple cables, which cost between $300-$500 each, have become essential infrastructure for AI data centers, positioning Credo to capitalize on the trillion-dollar AI infrastructure expansion as hyperscalers like Amazon, Microsoft, and Elon Musk's xAI rapidly build out massive computing facilities. What you should know: Credo's active electrical cables (AECs) are becoming indispensable for connecting the massive GPU clusters required for AI training and inference. The company...
Oct 17, 2025Vatican launches Latin American AI network for human development
The Vatican hosted a two-day conference bringing together 50 global experts to explore how artificial intelligence can advance peace, social justice, and human development. The event launched the Latin American AI Network for Integral Human Development and established principles for ethical AI governance that prioritize human dignity over technological advancement. What you should know: The Pontifical Academy of Social Sciences, the Vatican's research body for social issues, organized the "Digital Rerum Novarum" conference on October 16-17, combining academic research with practical AI applications. Participants included leading experts from MIT, Microsoft, Columbia University, the UN, and major European institutions. The conference...