So it's really a shame that the article ends like this: "It is not AI but our sense of fatalism and our blindness to the way human societies are already deploying machine intelligence for political ends that should most worry us." There's no call to use "blindness" there. >>
AI
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Moral Outsourcing: Removing Humans From AI Accountability
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"Too often when we talk of the “problem” of AI, we remove the human from the picture. We practise a form of what the social scientist and tech developer Rumman Chowdhury calls “moral outsourcing”: blaming machines for human decisions." >>
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Digital Panopticon: AI Systems Require Human Accountability
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"We have stumbled into a digital panopticon almost without realising it. Yet to suggest we live in a world shaped by AI is to misplace the problem. There is no machine without a human, and nor is there likely to be." >>
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False arrests and facial recognition: AI ethics debate gap
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"[False arrests w/face rec tech] should be at the heart of one of the most urgent contemporary debates: that of artificial intelligence and the dangers it poses. That it is not, and that so few recognise it as significant, shows how warped has become the discussion of AI," >>
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Op-ed critique: ableism and AGI misconceptions in AI discourse
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There's a lot I like in this op-ed, but unfortunately it ends with some gratuitous ableism (and also weird remarks about AGI as a "holy grail"). First, the good parts:
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SARS-CoV-2 Causes Nerve Cell Fusion in Brain Organoids
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Not a pretty picture.
Fusion of nerve cells after #SARSCoV2 exposure in human brain organoids with loss of function https://
science.org/doi/10.1126/sc
iadv.adg2248
… @ScienceAdvances -
Segmentation technique pour optimiser ControlNet dans la génération d’images
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One thing you can try is to just use segmentation to isolate the background and process it independent of the foreground — then composite them together. That way you can really refine the multi-controlnet settings for the background.
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EbSynth temporal coherence and keyframe interpolation challenges
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Agreed, temporal coherence leaves more to be desired. This is because the keyframes are not visually consistent, so when EbSynth is used to interpolate between them and crossfade you get jumps in the subject matter.
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Language Modelling Success: Next Token Prediction and Transformer Models
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Language modelling has wildly succeeded due to current objective functions(most notably, next token prediction) and evidently powerful, efficient and scalable models(ie. Transformer) . With next token prediction, you have both input text and labels from same text(input is 1 word
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KaiberAI: AI-Powered Video Processing Tool Explained
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It’s a real video recording processed by a tool called @KaiberAI