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ChatGPT Search 🟢
With new features allowing users to search past conversations and access real-time web information, ChatGPT is evolving
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Google Maps will use Gemini AI to answer queries about new restaurants
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What’s happening in AI right now
Why search and context are the next AI battleground
With new features allowing users to search past chats and access real-time web information, ChatGPT is evolving from a powerful chatbot into something more akin to a total digital assistant.
But more intriguing than the features themselves is what they reveal about the emerging competitive landscape in AI. Tech giants aren't just racing to build the smartest models - they're racing to build AI that can effectively augment human intelligence through better memory, search, and contextual understanding.
The memory advantage
As noted by Ethan Mollick, Google's Gemini can now process a million tokens - enough to ingest and analyze thousands of pages of text while maintaining perfect recall. OpenAI's new search capabilities, while more modest, similarly point toward tools that can maintain persistent memory of conversations and seamlessly integrate real-time information.
This focus on memory and context represents a significant shift. Early AI models excelled at specific tasks but struggled with maintaining coherent knowledge across conversations. The addition of new voice capabilities and improved APIs moves us closer to AI systems that can truly augment human intelligence rather than simply automate discrete tasks.
Strategic implications
For businesses and knowledge workers, these developments demand strategic consideration. Clayton Christensen's jobs-to-be-done framework suggests examining not just what these features do, but what jobs they help users accomplish. The new search and memory capabilities aren't just about finding old conversations - they're about building AI systems that can serve as external cognitive support systems.
Consider three key implications:
Knowledge Management: Organizations need to rethink how they capture and utilize institutional knowledge when AI can maintain perfect memory of all interactions.
Workflow Integration: The addition of real-time search capabilities points toward AI assistants that can actively participate in meetings, research, and decision-making processes.
Competitive Dynamics: As AI platforms gain better memory and context abilities, switching costs for users will likely increase. The platform that best captures and utilizes user context may gain significant competitive advantages.
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In this episode, the hosts Anthony Batt and Shane Robinson with guest Joe Veroneau from Conveyor discuss outsmarting paperwork. Conveyor is a company that helps automate security reviews and document sharing between companies. They use AI technology, specifically language models, to automate the process of filling out security questionnaires. This saves customers a significant amount of time and improves the quality of their responses.
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Whether you’re a startup, an established business, or an AI pro looking to make meaningful connections, HumanX is the place where AI meets opportunity.
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