Tag: AI

  • Survey Says: Tech Spending Is Up, But AI Rollouts Slower Than Expected – Initial AI hype is finally going back to reality. // ” The AI wave is still building, but the future has been slower than anticipated. Today only 5.5% of identified AI use cases are in production, a sobering reality check on respondents’…

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  • Some advice and good practices when integrating an LLM in your application – Yup!

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  • OpenAI Is Growing Fast and Burning Through Piles of Money – That’s what you call “real money”: “OpenAI’s monthly revenue hit $300 million in August, up 1,700 percent since the beginning of 2023, and the company expects about $3.7 billion in annual sales this year…. it expects to lose roughly $5 billion.”

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  • Enterprise Philosophy and The First Wave of AI – AI is (too) expensive for what it does, and thus far clunky, so it will need to start in the enterprise space where companies can get good ROI.

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  • Gemini at Work 2024: How customers use Google Cloud AI products – More on the “agent” metaphor/thought technology Gemini is using. Plus, a really great list of one-liner, enterprise AI uses cases.

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  • IBM AI simply not up to the job of replacing staff – If the AI tools don’t work well, it’s hard to get but results. Also, the enterprise AI coding assistant needs to know a lot more than PHP.

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  • Google Cloud rolls out new Gemini models, AI agents, customer engagement suite – Big round-up of new Gemini stuff: “agents.”

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  • How to Keep Learning at Work — Even When You Feel Fried – Enterprise Mindfulness: find out what you want to focus on and personally find valuable, then use your own motivation to structure work that fits your own goals. Also: try to have less toil/cognitive load.

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  • Home Depot builds DIY GenAI model that tells human employees what to say – Better search/knowledge management: ‘Home Depot’s team built an LLM with RAG capabilities that answers queries by retrieving knowledge documents and processing them alongside data from previous chat history to “generate response suggestions for customer service agents.”’

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  • Embracing AI To Augment, Not Replace, The Status Quo – Ideating AI apps: ‘1. Be on the lookout for processes that don’t scale well by adding more resources, are somehow constrained by human involvement, or could be improved if the human actor had more information. 2. Once you identify the process ask yourself either “How…

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  • Oscar Health’s early observations on OpenAI o1-preview – Experiments with using AI in healthcare, specially the chain of reasoning stuff in o1-preview.

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  • The impact of AI on the workforce: Tasks versus jobs? – “While many businesses use AI to replace worker tasks, there is little evidence that AI use is associated with a decline in firm employment.” // I’m starting to think that what’s going on here is that we haven’t found the right applications (uses of)…

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  • Six technology myths and the Big Tech-lash – “So why do people think that it’s getting faster? Well, one of the reasons is they sort of conflate applications with platforms. So sure, ChatGPT gets 100 million people in a couple of months. But why is that? Well, they didn’t have to buy anything. I didn’t…

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  • Digital transformation strategies focus on reducing costs, upskilling – Highlights from Macroeconomic Outlook, Business Trends – ”Digital transformation focuses on employee productivity and automation. Nearly 44% of respondents either have a formal digital transformation strategy (32%) or are planning to develop one (11%). The primary drivers for adopting a digital transformation strategy are improving efficiency…

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  • The types information available on the internet and why AI is bad for all of them – ”For example, if I’m looking to buy an ergonomic chair and I read a review that says “I’m a 6’3” man and this chair is absolutely perfect for my size,” this anecdote provides helpful information to me in…

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  • AI is great for churning out apps, but don’t forget to test – Enterprise AI needs testing just like code needs testing. // “Research published by Leapwork, drawn from the feedback of 401 respondents across the US and UK, noted that while 85 percent had integrated AI apps into their tech stacks, 68 percent had…

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  • Customers don’t trust AI, and the rift might be hurting business – ”Participants were then asked questions to determine their willingness to buy the TV.  Those who saw AI in the product description were less likely to make the purchase.”

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  • What the AIs think of the US presidential debate

    What the AIs think of the US presidential debate

    Today it’s just links and fun finds that I’ve been storing up for a about a week. Great “Please Eat Me” specimen, from Russell Davies. Also, a big sign of the same. What the AIs thinks of the debate I asked Perplexity about the US presidential debate last night. I wasn’t very interested in “fact…

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  • DOJ, Nvidia, and why we restrict monopolies – “A company getting it right does not give it some kind of permanent license to coast while printing money. The question that all antitrust seeks to answer is simple: how much is enough? When do the well-deserved riches and power that accumulate to companies that make big…

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  • How Heroku Is Positioned To Help Ops Engineers in the GenAI Era – “We decided that the best thing for us strategically was to use Kubernetes underneath the covers, essentially to replace a lot of the code that we have been using to do the same thing. That’s a big migration effort for us. There’s…

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