you know you’ve got your new system’s core abstractions right when things you didn’t explicitly design for that used to be complex become incredibly simple
SYSTEMS
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Optimal Strategy Tractability and Resource Constraints in AI
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Wrt tractability, I am not sure whether we can hope there is an optimal strategy, either because it represents a global optimum, or because it is whatever results from a search strategy that cannot be improved on given the resource conditions in our region of the universe.
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Data Compression and Upload Optimization for AI Systems
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Simple, upload everyone and use data compression to collapse the npcs
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AI Substrate for Mind Uploading and Consciousness Transfer
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But there is an easier path: we may be able to create an AI substrate that is able to support empathetic resonance to such a degree that you could expand your mind into it, reach full self awareness, and move yourself over.
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Consciousness as Pattern: Substrate-Agnostic Identity Construction
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Consciousness itself has no identity, it's a pattern. The traits and memories over which identity is constructed are not easily extracted from the substrate, it's easier to construct a new, substrate agnostic identity
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Perfect Memory Retrieval Enhances AI Performance
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100% the perfect memory retrieval goes a long way too.
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IoT and IIoT Community Discussion with ClearBlade Platform
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RT @IoTchannel @IoTCommunity @IoTslam #IoT #IIoT @ClearBlade @esimone928
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IoT and Industrial IoT Community Discussion
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RT @IoTchannel @IoTCommunity @IoTslam #IoT #IIoT @SoftServeInc
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Enterprise MLOps Platform Handles 30 ML System Requirements
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Building & Deploying Enterprise #MachineLearning Systems is hard. Here are 30 requirements for an #MLOps environment. @AbacusAI handles all that for you. You bring the data and the use case. Abacus delivers the #ML environment: https://
abacus.ai/mlops #DataScience #AI #ML -

Real-Time Analytics with Apache Kafka and Pinot
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Building Real-Time #Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot Available at http://
amzn.to/46kHSae
by @markhneedham ————
#IoT #IIoT #BigData #DataScience #AI #ML #MachineLearning #StreamAnalytics #Edge #EdgeComputing #Industry40 #TimeSeries