3 things workers can do to prepare for #AI and the #FutureofWork https://
bit.ly/3KHygwq via @FastCompany
AI
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Three Ways Workers Can Prepare for AI Future
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CEOs warn AI could destroy humanity within five to ten years
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Survey says 42% of CEOs say #AI could destroy humanity in five to ten years https://
cnn.com/2023/06/14/bus
iness/artificial-intelligence-ceos-warning/index.html
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Natural Language Processing for Global Supply Chain Analysis
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Using Natural Language Processing for the analysis of global supply chains | Data Science Campus https://
bit.ly/3WjwSFA #AI #MachineLearning #DeepLearning #LLMs #DataScience -

ChatGPT Outperforms Philosopher Despite Time Disadvantage
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Le match ChatGPT Raphaël Enthoven a été gagné par le philosophe On oublie juste de rappeler qu’on avait donné 90 secondes à ChatGPT Et 90 minutes à Raphaël Enthoven Le grand gagnant est ChatGPT !
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Vercel Accelerator: Building the Future of Development
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We're excited to be part of the Accelerator and see what people build @vercel
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Major AI Funding Rounds and Breakthroughs Shape 2026
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Stories featured from @StevenLevy (interview w/ Satya Nadella), @ingridlunden (Mistral's monster seed round), @Ryan_Browne_ (Synesthesia round backed by Nvidia), @mrdiscopop (AI assisting in surfacing a new Beatles song!!), and @BrodyFord_
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@EdLudlow (Databricks hits $1B revenue). -
OpenAI’s Pricing Strategy: Cost, Lock-in, and Market Implications
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It of courses raises a ton of questions. How can OpenAI do this in the first place, and why now? Do they sell it at cost (or at a small loss) to keep people locked into the OpenAI ecosystem? Etc. etc. etc.
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AI Pricing Wars: Major Price Cuts Strategy Explained
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So, if you can't win on quality, you do the next best thing: win on price. It's one of the most aggressive price cuts we've seen as far as AI products go so far. And a devs I've spoke with have hoped for big price cut like this—from OpenAI or someone else.
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Embedding Models: Ada-002 vs Open Source Competition
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Embedding models are one of the most important parts of model development and deployment. You have to encode all your data in the first place. But while GPT-4 is well ahead of open source competition in LLMs, ada-002 didn't necessarily have that level of a commanding lead.