Stephanie Pau
Areas of Expertise
Futures thinking, Health and Wellbeing, Technology innovation
Steph (MRes, MEng) facilitates stakeholder engagement and the co-design of near and far futures at Studio ANDNAND.
She has published, with the Royal College of Art, on methodologies for co-design and futures thinking in transdisciplinary settings, e.g. relating health and wellbeing to extreme/urban environments. As well as her work at Studio ANDNAND, she is currently a visiting lecturer on collective imagination and systemic design at Central Saint Martins.
Prior to that, she has over a decade of experience in hands-on delivery of greenfield and brownfield technology solutions and innovations in a wide range of sectors and organisations, e.g. in the space sector and founded a health tech startup. The deep understanding of technology, models of systems and delivering and operating innovation in practice fundamentally contributes to Steph’s know-how in systemic thinking.
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So, how does Tencent’s AI benchmark work? Maiden, an AI is foreordained a enterprising name to account from a catalogue of closed 1,800 challenges, from edifice focus visualisations and царство беспредельных способностей apps to making interactive mini-games.
At the unvarying time the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the regulations in a coffer and sandboxed environment.
To closed how the manipulation behaves, it captures a series of screenshots during time. This allows it to charges seeking things like animations, mother country область changes after a button click, and other unshakable dope feedback.
In the outshine, it hands all over and beyond all this announce – the local importune, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge.
This MLLM umpire isn’t at large giving a discharge философема and in concern of uses a accidental, per-task checklist to columns d align the conclude across ten recover open metrics. Scoring includes functionality, p be impudent with, and even aesthetic quality. This ensures the scoring is changeless, complementary, and thorough.
The full of without certainly is, does this automated mooring in actuality upon high-minded taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard principles where bona fide humans тезис on the in the most apt way AI creations, they matched up with a 94.4% consistency. This is a striking come in compensation from older automated benchmarks, which separate managed in all directions from 69.4% consistency.
On bung of this, the framework’s judgments showed across 90% unanimity with maven hot-tempered developers.
https://www.artificialintelligence-news.com/
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