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DeepNewz, mobile.
People-sourced. AI-powered. Unbiased News.
The power of context windows: they define how much information an AI can “remember” in interactions. 🧠 4K tokens = short memory. 🧠 100M tokens = long-term reasoning, better insights. Bigger windows mean smarter AI. 🚀 SolderAI amplifies any LLM’s context window by up to 50x:… https://t.co/GBXzFbneDn
The power of context windows: they define how much information an AI can “remember” in interactions. 🧠 4K tokens = short memory. 🧠 100M tokens = long-term reasoning, better insights. Bigger windows mean smarter AI. 🚀 SolderAI amplifies any LLM’s context window by up to 50… https://t.co/CpjxhOZh4x
People have AGI-fatigue, the term gets used so much incorrectly. I've written up my thoughts on: - Vision of AGI future - LLMs are not going to get there; OpenAI and others are on the wrong track - How we'll achieve true AGI https://t.co/xnQg70w57A
Sam Altman has projected that advancements in AI models will enable them to handle context windows of 10 million tokens within a few months, with the potential for 'infinite context' in less than a decade. He emphasized that achieving this milestone will require significant breakthroughs in model architecture and efficiency. Altman also noted that as the field approaches artificial general intelligence (AGI), the term itself may become less useful, although he anticipates that by the end of 2025, AI systems will be capable of performing complex cognitive tasks that could surpass human abilities. The discussions surrounding context windows highlight their importance in determining how much information AI models can retain during interactions, with larger windows facilitating better reasoning and understanding.
