#AI is eating the software industry—and other entry-level white collar jobs may be next. https://
wsj.com/articles/ai-jo
bs-replace-tech-workers-8f3dc92?st=anfgv2cehjeuzsg
… via @WSJ @mims
GENERATIVE AI
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AI Disrupts Software Industry and Entry-Level White-Collar Jobs
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Three Common Questions About Generative AI
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3 Common Questions About Generative AI https://
gartner.com/en/topics/gene
rative-ai
… by @Gartner_inc #GenerativeAI #AI #MachineLearning @JAdP @YvesMulkers @gvalan @mvollmer1 @anijov @CatherineAdenle @enilev @Damien_CABADI @avrohomg @Shi4Tech @fernandolofrano @Fabriziobustama @FmFrancois @BIScorecard -
Generate Anything Anywhere in Any Scene: Li et al.
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Generate Anything Anywhere in Any Scene Li et al.: https://
arxiv.org/abs//2306.17154 #ArtificialIntelligence #DeepLearning #MachineLearning -
Elon Musk Develops AI at Twitter Despite Calling for Pause
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Elon Musk Working On #AI At Twitter Despite Calling For A 6-Month Pause: Report https://
bit.ly/3M86NWR via @Forbes -
Shoggoth: The Symbolic Monster of Modern AI
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How the Shoggoth Has Come to Symbolize the State of A.I.: The Shoggoth, a character from a science fiction story, captures the essential weirdness of the A.I. moment. #Technology #Tech #FutureTech https://
nytimes.com/2023/05/30/tec
hnology/shoggoth-the-state-of-ai.html?utm_source=dlvr.it&utm_medium=twitter
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Congress Implements Strict ChatGPT Rules For Staff Use
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Congress Reportedly Puts Strict Rules On Staff Use Of ChatGPT Instead of outright banning it, Chief Administrative Officer Catherine L. Szpindor has apparently directed all House members to only use ChatGPT when dealing with non-sensitive data. https://
bit.ly/3pvGj9e -
LakehouseIQ: Natural Language Data Querying with AI
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Search, understand & query data with words instead of code! #LakehouseIQ uses info about your data, usage patterns & org chart to understand your business’s jargon & unique data environment – giving significantly better answers than naive use LLMs: https://
dbricks.co/3PEDL3g -
Replit Prioritizes Product Quality Over AI Benchmarks
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At Replit we’re not interested in hitting benchmarks and training LLMS to look good, we’re interested in building good products.
— Replit ⠕ (@Replit) 1 juillet 2023
To learn more watch the full AI panel with @MosaicML’s Chief Scientist @jefrankle in conversation with Replit’s @amasad and @pirroh pic.twitter.com/OdFeWLdUdkAt Replit we’re not interested in hitting benchmarks and training LLMS to look good, we’re interested in building good products. To learn more watch the full AI panel with @MosaicML
’s Chief Scientist @jefrankle in conversation with Replit’s @amasad and @pirroh -
AI-Powered Content Generation Becoming More Data-Driven Personalized
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This is the AI future you need to prep for.
— Allie K. Miller (@alliekmiller) 1 juillet 2023
In under 5min, I got back a tailored bar chart and hypercustomized social post ideas based on context, survey, prompt to ChatGPT.
Your content is about to get WAY more:
✅ data-driven
✅ personalized
✅ dynamic
✅ impactful pic.twitter.com/rwg6fZWfWvThis is the AI future you need to prep for. In under 5min, I got back a tailored bar chart and hypercustomized social post ideas based on context, survey, prompt to ChatGPT. Your content is about to get WAY more: data-driven personalized dynamic impactful
