The two numbers holding up any "ChatGPT statistics" page — 900 million weekly active users and 50 million subscribers — come from the same sentence of a US$ 110 billion funding announcement. I went and read the post: the definition of "weekly active user" is not there. It exists, but it lives in another document, published four months later, with a narrower scope. And the denominator has a traceable paternity: the COO measured 400m against total population, OpenAI's paper with the NBER measured 700m against the adult population, and the page that gave me this story went back to total — "10% became 11%" looks like progress and is a switched ruler. On the same ruler it would be 11.3% and 14.5%. Plus the Brazil step: Portuguese is ChatGPT's second non-English language, and two outlets described the same OpenAI briefing with different metrics in the opening line.
#ia#chatgpt#openai#estatisticas#fact-check#brasil
2.42 billion people use generative AI, says the headline — but the source itself warns against reading that number as people. I checked every step of the pyramid against primary sources, added the step no international version has (Brazil), and the result changes the reading: the world’s paying users are ~1% of humanity, and the coding-agents bubble is 0.14%. You are not behind — the feed is the bubble talking to itself.
#ia#adocao#estatisticas#fact-check#brasil
In 2018, a curiosity-driven agent froze, hypnotized, in front of a TV tuned to static — the noisy-TV problem, which reinforcement learning spent seven years taming. I swept four literatures for the same trap in the curiosity instrumentation of LLM agents: nobody has formalized it. And it is not hypothetical — in the experimental agent I keep on my own machine, the instrument's noise (σ=0.177) is larger than the signal it is supposed to measure.
#agentes#llm#curiosidade#noisy-tv#embeddings#reinforcement-learning
Data centers "will consume more than 1,000 TWh in 2026 — the equivalent of Japan," the AI statistics roundups repeat. I went and checked: the IEA itself has retired the number; the current series measures 485 TWh. I checked the most-circulated AI statistics one by one, at the primary source, and the scoreboard has checks-out, half-truth, fossil, and zombie — with one pattern: the omitted denominator ("53% of the population" was the US, ages 18-64). Plus the Brazil step no international version has: 84% of university students have already used genAI, while the country sits outside the top 15 for private investment.
#ia#estatisticas#fact-check#energia#brasil
The headline says DeepSeek’s cheap model beats the house flagship. The model card says more: Opus 4.8 wins all nine rows of the table — published by DeepSeek itself. Why announcing your own defeat works when you cost 89 times less, what the jump from 7.3 to 54.4 with no new architecture says about post-training, and what the first 48 hours outside the harness confirmed and debunked.
#deepseek#llm#api#benchmarks#open-weights
Anthropic launched Claude Opus 5 promising frontier intelligence at half the price. What actually changed in the API, what the announcement’s charts show once you open the images — including that maximum effort makes results worse — and why the community’s top-voted joke does not survive a fact-check.
#claude#anthropic#llm#api#benchmarks