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Andrej Karpathy’s latest concept ‘LLM Wiki’ and the future of enterprise knowledge

Executive summary Andrej Karpathy’s public GitHub Gist, published on April 4, 2026, describes LLM Wiki not as a finished product, but as an “idea file” for agentic knowledge work: instead of re-retrieving raw fragments on every question, an LLM incrementally compiles curated…

Will OpenAI Prism accelerate scientific research?

1) Official announcements (what OpenAI says Prism is) What it is Launch details & availability Stated goals Capabilities OpenAI highlights (feature-level)From OpenAI’s launch post and product page, Prism is presented as supporting: Integration with other OpenAI products 2) Media coverage…

Considering AI and Communism

The only way to prevent a post-AI society from becoming a dystopia seems to be whether the elites are willing to give up their advantages and participate in making fair and substantial contributions to society. Question (by Kunihiro Tada) I…

Order in the Age of AI

— Neither a Workless Utopia nor a Simple Control Society — 1. Problem Statement: Will AI Liberate Civilization, or Hollow It Out? With the rapid advancement of AI, humanity has entered a phase in which a society “able to live…

Where Should AI Memory Live?

A Loose-Coupled Architecture for GPT-6 and Associative Knowledge Engines Abstract With the emergence of GPT-6–class models offering persistent, personalized memory, the question of where AI memory should reside becomes a central architectural and governance issue—especially for enterprise and organizational use.…

2026 Will Be the First Year of Enterprise AI

— Generative AI Is Moving into the Core of Organizations Generative AI has evolved at an astonishing pace over the past few years. Writing, summarization, translation, planning support, and programming assistance have reached a level that is already more than…

Does the Age of Local LLMs Democratize AI?

— Industrial Reorganization Triggered by Nemotron 3 and the Recurrence of Internet History 1. Nemotron 3 as a Turning Point NVIDIA’s announcement of Nemotron 3 carries significance beyond the release of yet another high-performance language model. What it fundamentally signals…

Data Science and Buddhism: The Ugly Duckling Theorem and the Middle Way

Modern data science traces its roots to the pattern-recognition research of the 1960s. In Japan, one of the earliest successes was the development of machines capable of reading handwritten postal codes. During this formative period, philosopher-scientist Satoshi Watanabe proposed the…

Neuromorphic Computing: Can It Play a Role in Mainstream AI Development?

Neuromorphic computing, inspired by the structure and functionality of the human brain, has shown promise in energy efficiency and parallel processing. However, it has yet to make a significant impact in the mainstream AI development currently dominated by large-scale models…

Semantic data mining that fundamentally changes information analysis 2

Kunihiro Tada, Mindware Research Institute In the previous article, we (1) created a rich text of food-report-style tasting experiences of 20 fictitious crisps, (2) obtained their embedding vectors, (2) extracted three-dimensional factors from them using a dimensionality reduction technique called…

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