生成AIからAGIそしてASIへ、AIはどこまで進化するのか？ | サイエンス リポート | TELESCOPE magazine https://www. yayafa.com/2778155
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| Source: Mastodon | Original article
A feature in TELESCOPE magazine titled “From Generative AI to AGI and ASI – How Far Can AI Evolve?” maps the current hype cycle onto a longer‑term roadmap for artificial intelligence. The piece argues that today’s large‑language‑model‑driven generators are merely the first rung of a ladder that will eventually lead to artificial general intelligence (AGI) and, later, artificial superintelligence (ASI). It cites concrete milestones – multimodal reasoning, self‑directed learning and world‑model integration – as the capabilities that must be added before machines can match human‑level abstraction and creativity.
Why the analysis matters is twofold. First, it reframes the commercial race for ever larger models as a research agenda with societal stakes: an AGI that can design drugs, optimise climate models or negotiate complex policy scenarios could reshape economies and regulatory frameworks. Second, the article warns that the transition from narrow to general intelligence will amplify existing ethical and safety concerns, from data bias to loss of control, and calls for coordinated governance at the EU level.
The magazine’s outlook dovetails with recent developments we have covered. Meta’s release of Llama 4 on 10 April demonstrated a “native” multimodal LLM that can process text, images and code, a step toward the agentic systems described in our earlier pieces on Agentic RAG and self‑evolving AI agents. Likewise, ZETA’s integration with OpenAI’s ChatGPT signals growing commercial appetite for AI that can act autonomously in e‑commerce.
What to watch next are the emerging “world‑model” architectures that aim to predict physical outcomes and plan across time, and the policy debates that will accompany any claim of AGI‑level performance. Industry conferences in the summer will likely showcase prototypes that blur the line between advanced generative tools and true general reasoning, while EU legislators prepare the first draft of an “AI risk” framework that could become the global benchmark for safe AGI development.
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