Large language models are further from AGI than is being predicted

Chinese AI company MiniMax released MiniMax M3.1 Flash on October 19, 2026, featuring 428 billion total parameters, about 23 billion active parameters in a mixture-of-experts architecture, and a 1,000,000-token context window.

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MiniMax reported that MiniMax M3.1 Flash operates about three times faster than MiniMax M3, with median output speeds consistently exceeding 170 tokens per second.

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MiniMax M3.1 Flash API pricing is set at $0.15 per million input tokens and $0.60 per million output tokens, with cached input reads priced at $0.015 per million tokens.

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MiniMax confirmed that an earlier build of MiniMax M3.1 Flash operated anonymously under the name Space Bunny, processing over 200 trillion tokens prior to its official launch.

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MiniMax reported that MiniMax M3.1 Flash can reach peak generation speeds exceeding 200 tokens per second.

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There is a common fear that AI will take people's jobs

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People should use AI responsibly, for instance as a research tool rather than to complete their work for them

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AI will be factored into the expected output for human workers

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AI is poised to make the workplace easier

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The perfectionism encouraged by AI use can extend from professional work into one's personal life

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LiteLLM, developed by BerriAI, provides a shared interface for LLM providers including OpenAI, Anthropic, and Google Gemini, receiving approximately 23 million weekly downloads.

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The complaints allege Meta Platforms Inc. operated a book-scanning program called Project Vellum starting around mid-2025 that purchased and scanned physical books to train its Muse Spark and Muse Glimmer AI models.

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The authors' complaints allege Meta Platforms Inc. downloaded e-books from pirate shadow libraries, including LibGen, Z-Library, Anna's Archive, and the Books3 dataset, to train its large language models.

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Artex was developed by Chinese engineer Li Puhua in July 2026 as a penetration testing tool that automates security assessments using large language models.

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Wiz researchers noted that while AI helped identify the ancient PHP vulnerabilities CVE-2026-109618 and CVE-2026-109619, large language models also lower the barrier for attackers to adapt exploits across different server configurations

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AI is a tool that can help people have less work or transform their work

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Higher managerial expectations, driven by AI, will compel employees to work more

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Large language models are further from AGI than is being predicted

In the workplace, AI can make work easier and help get tasks done

AI-first workflows reduce human developers to supervisors of automated output

Chinese AI company MiniMax released MiniMax M3.1 Flash on October 19, 2026, featuring 428 billion total parameters, about 23 billion active parameters in a mixture-of-experts architecture, and a 1,000,000-token context window.

MiniMax reported that MiniMax M3.1 Flash operates about three times faster than MiniMax M3, with median output speeds consistently exceeding 170 tokens per second.

MiniMax M3.1 Flash API pricing is set at $0.15 per million input tokens and $0.60 per million output tokens, with cached input reads priced at $0.015 per million tokens.

MiniMax confirmed that an earlier build of MiniMax M3.1 Flash operated anonymously under the name Space Bunny, processing over 200 trillion tokens prior to its official launch.

MiniMax reported that MiniMax M3.1 Flash can reach peak generation speeds exceeding 200 tokens per second.

There is a common fear that AI will take people's jobs

People should use AI responsibly, for instance as a research tool rather than to complete their work for them

AI will be factored into the expected output for human workers

AI is poised to make the workplace easier

The perfectionism encouraged by AI use can extend from professional work into one's personal life

LiteLLM, developed by BerriAI, provides a shared interface for LLM providers including OpenAI, Anthropic, and Google Gemini, receiving approximately 23 million weekly downloads.

The complaints allege Meta Platforms Inc. operated a book-scanning program called Project Vellum starting around mid-2025 that purchased and scanned physical books to train its Muse Spark and Muse Glimmer AI models.

The authors' complaints allege Meta Platforms Inc. downloaded e-books from pirate shadow libraries, including LibGen, Z-Library, Anna's Archive, and the Books3 dataset, to train its large language models.

Artex was developed by Chinese engineer Li Puhua in July 2026 as a penetration testing tool that automates security assessments using large language models.

Wiz researchers noted that while AI helped identify the ancient PHP vulnerabilities CVE-2026-109618 and CVE-2026-109619, large language models also lower the barrier for attackers to adapt exploits across different server configurations

AI is a tool that can help people have less work or transform their work

Higher managerial expectations, driven by AI, will compel employees to work more

With AI, people can go more profoundly into their work