6 Things to Know about AIE World's Fair 2026

6 Things to Know about AIE World's Fair 2026

Built the dependency list the lazy way. One install at a time, each one chosen to get the thing running.
Then a patent attorney read it out loud.
GPL v3 has a retaliation clause. Assert a patent against someone using the same covered code, and your own license terminates. Plaintiff one day, infringer the next.
Three sections do this together. I walked them.
https://praveenlavu.com/dispatch/gpl-v3-patent-retaliation-trap
#AIEngineering #airisk #aisafety
Sorry, AV is just not ready for real world applications. “Oops, we didn’t think of that” is a naive, unscientific, and negligent way to design systems. These are not software bugs; they are serious design flaws and limitations of the technology. AV is still an open research area; public roads should not be used for research and experimentation.
Built a panel of models to judge each other. It ran for a week. Dashboard was green. Then I read what was actually winning. Not the sharpest answers. The ones that sounded like the judges. A popularity contest wearing a rubric. The fix: take away the name tags. Karpathy had already shipped it. I just had to admit what I had built.
https://praveenlavu.com/dispatch/anonymized-peer-review
#llm #evaluation #machinelearning #aiengineering #buildinpublic
I wired a multi-model judge panel to pick the best output, and it spent a week quietly voting for its own architecture family. Not the best answer. The one that sounded like the judge. Here is the night I caught it, and the one-line fix that a researcher named Karpathy had already shipped.
What if your AI could 'read' 100-page documents without forgetting the beginning?
Chunking strategies, RAG architectures, and memory management enable processing documents larger than context windows.
Eliminate 'forgotten' context issues, enable analy.
#AIEngineering #aihype #aialchemy #aibubble
The student of AI must have a healthy dose of skepticism - Lewis University Professor (course slide)

The artificial intelligence boom has been wildly profitable for tech billionaires and catastrophically hollow for everyone else, a new Mother Jones report said this week. Jeff Bezos, Mark Zuckerberg, Elon Musk, and Sam Altman have built fortunes on AI hype while delivering false promises, toxic plat...