Blog

March 30, 2025

ikayaniaamirshahzad@gmail.com

Emerging Trends in Java Garbage Collection

Efficient garbage collection is essential to Java application performance. What worked well in 1995, when Java was first released, won’t cope with the high demands of modern computing. To stay ahead of the game, you need to make sure you’re using the best GC algorithm for your application. In this article, we’ll look at evolving trends in Java garbage collection, and take a quick look at what’s planned for the future. Computing Trends Any software that stands the test of time must evolve to keep up with technology. To understand how and why GC has changed over the years, we

March 30, 2025

ikayaniaamirshahzad@gmail.com

Chaos bleeding shader

I don't have much time these days for writing formulas of beauty generating my shaders. I am mostly focused on writing AI agents becoming better at using machines then me, in every single aspect. Isn't it the pinnacle of human creation – to code an omnipotent machine? submitted by /u/xemantic [comments] Source link

March 30, 2025

ikayaniaamirshahzad@gmail.com

Straiker, which develops tech for securing enterprise AI applications, emerges from stealth with a $21M Series A from Lightspeed and Bain Capital (Duncan Riley/SiliconANGLE)

Duncan Riley / SiliconANGLE: Straiker, which develops tech for securing enterprise AI applications, emerges from stealth with a $21M Series A from Lightspeed and Bain Capital  —  Artificial intelligence-native security company Straiker launched today with an announcement that it has raised $21 million from Lightspeed Venture Partners LP and Bain Capital Ventures. Source link

March 30, 2025

ikayaniaamirshahzad@gmail.com

We’re using Minecraft to test spatial reasoning in LLMs – Vote on the builds! (Image is generated via sonnet 3.7)

We're getting LLM's to generate Minecraft builds from prompts and letting people judge the results on MC-Bench. Basically, we give prompts to different AI models and have them generate Minecraft structures. On the site, you can compare two results for the same prompt (like "a solar system" or "the international space station") and vote for the one you prefer. Your vote help us benchmark LLM performance on things like creativity and spatial reasoning. It feels like a more interesting test than just text prompts, and I've found it to be more reflective of the models I use daily, than many

March 30, 2025

ikayaniaamirshahzad@gmail.com

Episode #139 f”Yes!” for the f-strings

Sponsored by DigitalOcean: pythonbytes.fm/digitalocean Special guest: Ines Montani Brian #1: Simplify Your Python Developer Environment Contributed by Nils de Bruin “Three tools (pyenv, pipx, pipenv) make for smooth, isolated, reproducible Python developer and production environments.” The tools: pyenv – install and manage multiple Python versions and flavors pipx – install a Python application with it’s own virtual environment for use globally pipenv – managing virtual environments, dependencies, on a per project basis Brian note: I’m not sold on any of these yet, but honestly haven’t given them a fair shake either, but also didn’t really know how to try them

March 30, 2025

ikayaniaamirshahzad@gmail.com

Context vs. Fresh Start – What Works Better for Custom GPTs?

Guys, I need some advice from people with hands-on experience. Especially if you’ve worked a lot with different custom models — that would be super helpful. I’m curious about this in the context of testing and overall response quality. What’s the better approach: starting a new chat every time, or keeping longer-running ones that benefit from richer context? I’ve heard the opinion that a big context window can actually lead to more hallucinations, even though using it feels way more convenient and practical to me. Has anyone run into this? submitted by /u/KostenkoDmytro [comments] Source link