In-depth coverage of the latest AI & Machine Learning developments, trends, and analysis — curated daily.
Forget stateless LLMs in enterprise tools. SentinelOps AI is giving its AI a memory, and it's already citing past blunders. The question is, can it actually learn?
The AI race isn't about the biggest model anymore. It's about building systems that last. This is the quiet revolution happening right now.
OpenAI President Greg Brockman isn't just talking about AI's future; he's living it. He reveals how AI is now writing its own code and what that means for your job.
We're using AI to build AI tools. Sounds clever. But is it actually making open source development *worse*? One maintainer thinks so, and he's got the bug reports to prove it.
Forget clumsy tool calls. Cloudflare's new MCP Code Mode is quietly redefining how AI agents interact with complex APIs, packing immense power into tiny prompts.
Everyone expected AI agents to be smart. But it turns out they can be spendthrifts, too. One developer discovered their Claude agent was burning through millions of tokens, all thanks to hidden inefficiencies.
Zendesk's Relate 2026 conference was awash in 'agentic AI.' After two decades covering Silicon Valley, I've learned to sniff out the real money behind the marketing fluff.
Headlines scream AI job apocalypse. The data tells a different story: a readiness crisis, not a job shortage. Upskilling is the undisputed answer.
Forget everything you thought about AI model speed. A new kernel targeting NVIDIA's latest Blackwell GPUs is rewriting the playbook, smashing performance records for crucial AI workloads.
AI isn't a mind; it's a meticulously trained librarian. Understanding this distinction is key to unlocking its real potential.
Companies are throwing AI models at problems like confetti. But how do you actually make them useful? Two main contenders, RAG and fine-tuning, promise the moon. Let's see if they deliver.
Your Kubernetes cluster might look healthy, but a hidden 20-40% of GPU capacity could be silently burning cash. This isn't about raw utilization metrics; it's about what's *actually* happening on the silicon.