No, data annotation is not a sweatshop. (And what do you want, exactly? That the "toxic" content be left in?)
AI
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Reinforcement Learning Model Challenged: New Understanding Emerges
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Reinforcement learning was wrong all along. Now we know why, and how to do better. https://
economist.com/science-and-te
chnology/2023/01/18/a-decades-old-model-of-animal-and-human-learning-is-under-fire
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AI bridging to physical world may define decade
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Bridging AI to the physical world may end up defining the decade. You may, one day, be able to download physical labor. For more on the developing world of AI, check out the weekly newsletter:
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Robotor bridges AI art generation to physical sculpture
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Robotor is one example of a possible bridge to the physical world for AI art generation. "We are entering a new era of sculpture, which no longer consists of broken stones, chisels and dust, but of scanning, point clouds and design." http://
robotor.it -
OpenAI training with ADR for sim-to-real Rubik’s cube solving
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Using ADR, OpenAI trains with exposure to complexity which prepares the network to transfer from simulation to the real world since it has to learn to quickly identify and adjust to whatever physical world it is confronted with.
— AI Breakfast (@AiBreakfast) 19 janvier 2023
More on the project here: https://t.co/7m2EbrUEkK pic.twitter.com/dFbn3lmBDLUsing ADR, OpenAI trains with exposure to complexity which prepares the network to transfer from simulation to the real world since it has to learn to quickly identify and adjust to whatever physical world it is confronted with. More on the project here: https://
openai.com/blog/solving-r
ubiks-cube/
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OpenAI Dactyl uses ADR to solve a Rubik’s Cube
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2. OpenAI Dactyl project
— AI Breakfast (@AiBreakfast) 19 janvier 2023
Automatic Domain Randomization (ADR) for robotics endlessly generates progressively more difficult environments in simulation. ADR exposes the neural network to many different variants of the same problem, in this case solving a Rubik’s Cube.
(cont.) pic.twitter.com/3Vna5HWNVV2. OpenAI Dactyl project Automatic Domain Randomization (ADR) for robotics endlessly generates progressively more difficult environments in simulation. ADR exposes the neural network to many different variants of the same problem, in this case solving a Rubik’s Cube. (cont.)
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Machine Learning Protects Sharks While Minimizing Fisheries Impact
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Even apex predators face risks. Great read in @FrontMarineSci on how researchers @emLabUCSB are using #machinelearning to map where #sharks can be protected with minimal impact to #fisheries. #randomforestmodel http://
ow.ly/j4lz50MuAPK -

What Happens When AI Has Read Everything Online?
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What Happens When #AI Has Read Everything? https://
theatlantic.com/technology/arc
hive/2023/01/artificial-intelligence-ai-chatgpt-dall-e-2-learning/672754/
… @TheAtlantic #MachineLearning #BigData #Analytics @Shi4Tech @CatherineAdenle #100DaysofCode #womenwhocode #serverless #ML @anijov #IoT @FmFrancoise @BIScorecard #DataScience #DeepLearning #DigitalTransformation -
Deep Learning Questions Lack Satisfying Answers
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We’ve never had a satisfying answer to any question in deep learning.
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AI Intelligence Beyond Human Cognition Models
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But real AI doesn’t have to be a copy of human intelligence. (And a few years of visual input are a vast amount of data.)