Tag: AI

Camera AI for good, focusing on low price for enterprises, specific use cases, and mentioned by Apple and LLMs in our September product update.

My take on WTO's AI trade report: infrastructure gaps, labor impacts, and projected economic gains varying significantly by country income level.

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.

Virtual try-on refinements, new SnapEdit relight feature, expanded facial expressions, and automatic glare removal in our August product update.

Multimodal LLMs for automatic productivity tracking, keeping tool choices flexible in the AI era, and how AI affects junior developers.

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

Success in LLM applications comes from niche focus, speed to market, and cost optimization, not big funding or features.

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

As frontier model improvements slow down and trust increases, enterprises have a unique window to adopt LLMs without the risk of rapid obsolescence.

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

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

Physics simulation and multimodal AI are converging to unlock widespread robotics adoption within 2-3 years, creating massive investment opportunities.