Category: Writings

  • AI Impact Summit – Final Reflection
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    AI Impact Summit – Final Reflection

    Back from New Delhi, and after letting the conversations and ideas settle for a few days, here are my final reflections from the AI Impact Summit. As a scientist, the most valuable moments were not the plenaries, but the deep, sometimes once-in-a-lifetime discussions with individual AI pioneers building AI in frontier labs, startups and research…

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  • AI Impact Summit – Day 1
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    AI Impact Summit – Day 1

    Day one has been “slightly” chaotic, in the best possible way. Iโ€™ve never seen this many people at a conference. Industry, startups, government, students, press. Rooms were packed, with people standing along the walls and spilling into corridors. The surprise visit by Prime Minister Modi to the exhibition hall added another layer of disruption and…

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  • AI Impact Summit – Arrival

    AI Impact Summit – Arrival

    Reading “Being Indian” by Pavan K. Varma on the flight into New Delhi was an unexpectedly good prelude to the Indian AI Impact Summit. The book wrestles with identity, continuity, and contradiction in a civilisation that absorbs shocks without losing coherence. It made me reflect on how we are currently talking about AI. Iโ€™ve just…

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  • Verification-First AI Engineering

    Verification-First AI Engineering

    Happy new year! The shutdown period is often when the noise drops and the big questions surface. This year, that quiet coincided with genuinely striking progress in AI coding agents, especially in the six to eight weeks following the release of Claude Opus 4.5, and its integration into Claude Code. We have seen world-class software…

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  • International AI Safety Report: Second Key Update 2025
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    International AI Safety Report: Second Key Update 2025

    As part of the international expert advisory group representing Australia, Iโ€™m pleased to see the second Key Update of the AI Safety Science Report, led by Yoshua Bengio, released (link in the comment). The official update captures the broad progress: more robust adversarial training, better AI-generated content tracking, wider adoption of frontier safety frameworks, and…

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  • AI Myths
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    AI Myths

    I often share missed or surprising observations in my talks. Here are five of them, summarised as food for thought. ๐— ๐˜†๐˜๐—ต ๐Ÿญ: ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฎ๐˜€-๐˜๐—ฟ๐—ฎ๐—ถ๐—ป๐—ฒ๐—ฑ ๐—”๐—œ ๐˜„๐—ผ๐—ปโ€™๐˜ ๐—ฎ๐—น๐—ถ๐—ด๐—ป ๐˜„๐—ถ๐˜๐—ต ๐—”๐˜‚๐˜€๐˜๐—ฟ๐—ฎ๐—น๐—ถ๐—ฎ๐—ป ๐˜ƒ๐—ฎ๐—น๐˜‚๐—ฒ๐˜€.Itโ€™s intuitive to think globally trained models canโ€™t reflect our norms. Yet when frontier models answer the same cultural questions posed to national cohorts, they align most…

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  • Quantum Safe Transition – Now

    Quantum Safe Transition – Now

    Every confidential message youโ€™ve sent may already be stored โ€” waiting to be unlocked. This is the essence of the โ€œ๐—ต๐—ฎ๐—ฟ๐˜ƒ๐—ฒ๐˜€๐˜-๐—ป๐—ผ๐˜„, ๐—ฑ๐—ฒ๐—ฐ๐—ฟ๐˜†๐—ฝ๐˜-๐—น๐—ฎ๐˜๐—ฒ๐—ฟโ€ problem: data intercepted today could be decrypted once quantum computers mature. This week CSIRO’s Data61 released our new report, ๐™Œ๐™ช๐™–๐™ฃ๐™ฉ๐™ช๐™ข ๐™Ž๐™–๐™›๐™š ๐™๐™ง๐™–๐™ฃ๐™จ๐™ž๐™ฉ๐™ž๐™ค๐™ฃ: ๐™๐™š๐™–๐™ก๐™ž๐™ฉ๐™ฎ, ๐™ƒ๐™ช๐™ง๐™™๐™ก๐™š๐™จ ๐™–๐™ฃ๐™™ ๐™‹๐™–๐™ฉ๐™๐™ฌ๐™–๐™ฎ๐™จ, mapping the scale of the challenge and…

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  • Oversight Design for AI-Enabled Decision Making

    Oversight Design for AI-Enabled Decision Making

    What counts as a ๐—ฑ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป, really? From the strict sense in ๐—ฎ๐—ฑ๐—บ๐—ถ๐—ป๐—ถ๐˜€๐˜๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—น๐—ฎ๐˜„โ€”where a decision formally alters someoneโ€™s rights or entitlementsโ€”to the everyday sense where almost everything, from selecting a movie to choosing a candidate, feels like a decision. Yet across these very different contexts, the underlying anatomy looks surprisingly similar. In CSIRO’s Data61 new…

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  • If You Understand It, Itโ€™s Not AI: Designing Oversight for the Incomprehensible

    If You Understand It, Itโ€™s Not AI: Designing Oversight for the Incomprehensible

    New paper alert (working draft)! โ€œWhen you really understand what AI is doing, itโ€™s no longer AI โ€” itโ€™s just boring automation.โ€ That old AI community joke captures the paradox of human oversight. We trust calculators and complex business process engines with millions of ifโ€“else rules, running hundreds of steps, responding to environmental changes, and…

    Read more: If You Understand It, Itโ€™s Not AI: Designing Oversight for the Incomprehensible
  • Writing in the Age of AI
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    Writing in the Age of AI

    After my slightly controversial talk on ๐—ฅ๐—ฒ๐—ฎ๐—ฑ๐—ถ๐—ป๐—ด ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ ๐—ผ๐—ณ ๐—”๐—œ, I delivered another talk at APS Learn series on ๐—ช๐—ฟ๐—ถ๐˜๐—ถ๐—ป๐—ด ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ ๐—ผ๐—ณ ๐—”๐—œ. ๐— ๐˜† ๐—ฐ๐—ผ๐—ฟ๐—ฒ ๐˜๐—ต๐—ฒ๐˜€๐—ถ๐˜€: ๐˜„๐—ฟ๐—ถ๐˜๐—ถ๐—ป๐—ด ๐—ถ๐˜€ ๐˜๐—ต๐—ถ๐—ป๐—ธ๐—ถ๐—ป๐—ด. We write first for self-understanding, then for audience understanding. AI cannot replace that understanding, but it can be a strong discussion partner.…

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About Me


About me – According to AI

Director/Head of CSIRO’s Data61
Conjoint Professor, CSE UNSW

For other roles, see LinkedIn & Professional activities.

If you’d like to invite me to give a talk, please see here & email liming.zhu@data61.csiro.au

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