We had another AI surprise in store today with the new Gemini 2.0 Flash Thinking model. It’s very cool to see the model’s reasoning front and center. Next year, I don’t see how (or why) you’d avoid putting AI into your personal workflow. I even wrote a post today about it!
[article] Google releases its own ‘reasoning’ AI model. Super cool, and it gives very impressive results. You can see its transparent “thinking” right now for free in Google AI Studio. Here’s Simon’s quick take.
[article] InfoQ Java Trends Report – December 2024. Python and JavaScript get the accolades, but Java remains a lowkey hero in this space. It’s widely used and consistently improved.
[blog] Apigee API hub is now generally available. This API leader has been around a while, yet it stays on top in analyst ratings! This looks like a valuable new capability to centralize your APIs.
[article] Salesforce introduces Agentforce 2.0, unveils pre-built use cases. You will not escape agents next year. Unless you go live in the woods and cut yourself off from society. Even then.
[blog] Cloud Pub/Sub 2024 highlights: Native integrations, sharing and more. The Google Cloud messaging and app integration stack is solid. This post has a good recap on some new, interesting capabilities. Plus a sneak peek into what’s coming.
[blog] Dive Deep into Gemini: Explore Starter Apps in AI Studio. I really love when tools and platforms give me a way to immediately see the value of their tech. That’s what these starter apps do for Gemini 2.0.
[article] How To Add Tool Support to AI Agents for Performing Actions. What are tools in relation to LLMs? How do you use them, and why would you? Jani goes deep.
[article] 6 Questions to Find Out How Your Employees Are Really Doing. These are good questions to ask to get beyond the perfunctory “how you doing?”
[article] Quantum Error Correction Update 2024. Do you understand what quantum computers really do? I do not. But I understand more after reading this.
[blog] Applying a Cloud Deploy Policy to an Existing Pipeline. I like this feature. If you have an existing pipeline for shipping your code, you can apply these policies—such as not deploying updates during peak hours—without changing the pipeline itself.
[blog] The status of LLM-based Terraform Generation at the end of 2024. It’s getting better, but still have in-house expertise to understand (and fix) sub-optimal output.
[blog] 321 real-world gen AI use cases from the world’s leading organizations. Once again, we’ve updated this post of real-world use cases for AI. Now up to 321, it’s a great source of inspiration.
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