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

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."

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.

3 Key Practices for Perfecting Cloud Native Architecture - Some notes on cloud native architecture and app patterns. That is, apps you want to run in container platforms like Cloud Foundry or Kubernetes.

Beyond Infrastructure as Code: System Initiative Goes Live - “In practice, as Jacob has pointed out, this has led to unwieldy, hard-to-update and difficult-to-understand systems built on static definitions. The tools are tightly tied to a version control, making them brittle and difficult to work with. And only elite companies, such as Google, can deploy multiple times in a day with this approach as Jacob (and others) have argued."

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.

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.

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

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.

Most mainframe application rewrites fail the first time - “Refactoring mainframe applications commonly results in failure on the first try, according to a Forrester survey of over 300 IT professionals commissioned by Rocket Software.” And, from the survey sponsor: ‘“Starting from scratch and rewriting the apps rarely goes well,” Buckellew said. “It can lead to massive cost overruns and it can take years. When you’re in a long rewrite project – that’s when bad things happen and projects get canceled."'