It's not specific to diving but would @inaturalist work for this?
AI
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GPT-3 Requires Chain-of-Thought for Problem Solving, Paper Analysis
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Regardless how a human would do it, GPT-3 needs chain-of-thought to perform on these problems. Only skimmed the paper, but I don't see a specific deficit in ToM vs. known inability to do multi-hop inference without CoT.
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Technology as differentiator in startup ecosystems
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Oh yeah completely – I'm so embedded in engineering I forget there are startups where the technology isn't the differentiator!
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Career Growth: Startups vs Large Organizations for New Engineers
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I guess the key thing is more your career stage – if you're brand new to the industry a startup is less likely to be able to offer you the mentoring and support you need to grow than a larger organization, especially one with experience of training up new engineers
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T-shaped developers thrive in self-guided learning environments
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Not so good if you want to specialize in a specific area (eg iOS) and be mentored by senior developers, but it's a fantastic environment for people who want to be more T-shaped and who are good at self-guided learning
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Engineer Skills Development at Startups Across Full Stack
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That doesn't match my experience At a small startup an engineer might get to work on ops, backend and frontend code – whatever technical problems need solving Great for gaining a wide range of skills
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Unlocking AI’s Full Potential for Human Intelligence
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We're Not Using AI to Its Fullest Human Potential https://
time.com/6227118/eric-s
chmidt-ai-human-intelligence/
… @TIME #AI #MachineLearning #DataScience #BigData #Analytics #100DaysofCode #IoT #serverless #womenwhocode #DigitalTransformation #Robots #Python #TensorFlow #DeepLearning -
NVIDIA DGX BasePOD AI Infrastructure Solutions at NetApp INSIGHT
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At #NetAppINSIGHT 2022, explore the latest on AI infrastructure solutions powered by NVIDIA DGX BasePOD built on NVIDIA DGX systems with AMD EPYC CPUs: https://
nvda.ws/3SZc7Mc -
Technical Debt and Architectural Complexity in Software Systems
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I imagine this is more about simplicity at a small scale, which then gets baked in too deep to easily refactor layer on
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Isolate Analytics Data From Core Application Databases
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This makes a ton of sense to me: keep less critical, high throughput data such as analytics in a separate database from your core application data such that any problems with the high throughput stuff are isolated from affecting your key tables