BTW, GPT-4 doesn't agree with me entirely, so we are safe (for now)
AI
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Existential Risk Comparison: AI Against Historical Threats
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But aren't there already other cases of a 0.01% risk of human extinction, and somehow we are still here? For example, significant political changes, climate change, nuclear weapons, genetically modified food, a new medicine that wasn't tested for the entire human lifespan, the
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AI Tools Automate Business Planning with LangChain and Zapier
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Asked it to write a business plan It made a to-do list
Said it wrote a marketing plan
Let's check it
Oh Still, got @Zapier NLA + other @langchain tools working! (Thx @Reidoutloud_ for help ) -
Hidden GPT-3/4 usage in SEO content raises transparency concerns
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t'as de la chance @lightonseo qu'ils ont pas percuté que derrière y'avait GPT3 -4
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Wikipedia Training Data in LLM Development and Scale
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ça serait pas une bonne idée, tous les LLM ont integré wikipedia pour leur training, ça représentait 5% de gpt3
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Google Scales Vision Transformers to 22 Billion Parameters
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Learn about ViT-22B, the result of our latest work on scaling vision transformers to create the largest dense vision model. With improvements to both the stability and efficiency of training, ViT-22B advances the state of the art on many vision tasks → https://t.co/sQMgCGIOf4 pic.twitter.com/SRjEulBuJm
— Google AI (@GoogleAI) 31 mars 2023Learn about ViT-22B, the result of our latest work on scaling vision transformers to create the largest dense vision model. With improvements to both the stability and efficiency of training, ViT-22B advances the state of the art on many vision tasks → https://
ai.googleblog.com/2023/03/scalin
g-vision-transformers-to-22.html
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Creating Safe Words That GPT-4 Cannot Generate
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How do you come up with a safe word that GPT4 can't say?
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Twitter ranking criteria and social media algorithms
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Les critères de #ranking de #twitter #socialmedia
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Analysis of Twitter’s open-sourced recommendation algorithm
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[THREAD] J'analyse l'#algorithme de recommendation de #Twitter qui vient d'être open sourcé. Thread directement sur le compte @deeplayerAI
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Cornell CS5785 Applied Machine Learning Course with Jupyter Notebooks
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Applied Machine Learning (Cornell CS5785) "Starting from the very basics, covering all of the most important ML algorithms and how to apply them in practice. Executable Jupyter notebooks (and as slides)". Lectures: https://
youtube.com/playlist?list=
PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83
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Notebooks: https://
github.com/kuleshov/corne
ll-cs5785-2020-applied-ml
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