AI Engineering

A clear explanation of how AI models work under the hood, from basic math functions to neural networks, written for non-technical readers.

The startup uses AI and ultrasound imaging to create live 3D maps during surgery, helping surgeons see tumors and nerves hidden inside organs.

After a year with Claude, Gemini, and ChatGPT deep research, ChatGPT consistently yields the most thoughtful and useful reports.

Hallucinations are inevitable for LLMs; it's a trade-off between false positives and false negatives. Improving models can make that trade-off less severe.

A surprise finding that our brains process just 10 bits per second. This bandwidth bottleneck explains why multitasking fails.

Google's Nano Banana reveals smart marketing tactics, shifts in image editing quality, and implications for the AI arms race.

Building AI that excels at research with AlphaGo-style self-improvement might reach AGI faster than solving general intelligence directly.

The best path to big results is working at the frontier of your domain, where technical breakthroughs create lasting business moats.

While others scramble for chips and users, Google quietly holds every card needed to win the AI arms race.

LLMs excel at making sense of messy, unstructured input. That shifts the burden of precision from people to systems. This capability unlocks massive opportunities in business.

Get hands-on with the future of web browsing through BrowserOS, a free open-source alternative to invitation-only Perplexity Comet.

While everyone focuses on training chips, the real opportunity lies in specialized inference hardware that any company can build.