Connecting AI 'via API' does not mean bringing the model itself in-house; it means contacting someone else's server on every request to fetch an answer. This article lays out what to judge in practice, from token-based pricing and rate limits to API key security.
What on-device AI, where a smartphone's or laptop's own chip handles AI computation without an internet connection, actually is, how it differs from cloud AI, and how practical it is, based on 2026 chipset specs and market data.
A number-one benchmark score may come from a model that saw the exam in advance, or from an exam unrelated to your work. Through the 2026 retirement of SWE-bench and the LM Arena controversy, here are six principles for reading scores.
Meta, Alibaba, and even OpenAI, once the symbol of the closed strategy, are giving away top-performing models for free. It is not charity. A 40-year-old Silicon Valley strategy, 'commoditize the complement and make money at the core', is working again in the AI era.
The B after a model's name is not a report card; it is closer to a hardware requirements sheet. Read this number as a performance ranking and your model choice is almost guaranteed to be wrong.
AI became able to "see" images not because it got better, but because the structure that handles input itself changed. And this change altered how we ask questions before it altered model scores.
The prompt that was perfect yesterday gives an odd answer today. The cause is usually one of two things, and their remedies are opposites. One is server-side randomness you can't touch; the other is a problem with the prompt you wrote.
Hallucination is not the result of AI 'breaking'. It is closer to a structural side effect: today's training and evaluation methods award more points for a plausible guess than for saying 'I don't know'. Once you understand the mechanism, the way you deal with it changes too.
"I just told you that." If you have ever said this to an AI, you have met the context window. AI does not have a bad memory; it never remembers in the first place. Here is why this happens.
The unit on AI price lists is neither 'characters' nor 'words' but 'tokens'. Because of this difference, the same content costs more in Korean than in English, and your actual bill can rise even when the price list stays the same. Here is the rundown, with real price lists as of August 2026.
