AI LLM Improvement Rate Slows on Pre-training but Memory and Actions Make AI More Useful | NextBigFuture.com
Super Venture Capitalists Bill Gurley and Brad Gerstner analyze the future of AI. The rate of improvement of large language models is slowing for pre-training. However, it is still improving and AI intelligence is improving with post-training and test time training.
OpenAI and Microsoft announced a major AI advancement for 2025, featuring models with infinite memory and expanded context windows.
Infinite Context Windows
Infinite context in AI systems will enable long-term, meaningful relationships with users. AI will remember all of the previous questions. AI will have a better understanding of individual needs, preferences, and behaviors over time. This level of personalization has the potential to transform various sectors, including:
Healthcare: Providing personalized treatment plans based on comprehensive patient history
Education: Tailoring learning experiences to individual student progress and preferences
Customer Service: Offering highly personalized support by recalling past interactions and issues
Research and Development: Analyzing vast amounts of data to identify patterns and insights
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.
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