Se você gosta ou estuda inovação, segue um fio com alguns textos que escrevi sobre o assunto, tanto no esporte quanto no setor corporativo em geral. 1. Por que toda organização esportiva deve ter um profissional de inovação? medium.com/renova-inova/por-…

We're excited to join forces with @SpaceX to advance the frontier of useful AI. Expect significant improvements to Cursor soon.

SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models. For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon. We look forward to working closely with the Cursor team to advance our frontier AI capabilities

Ainda impressionado como nada disso aconteceu. Que evento absurdo presenciamos na noite de ontem, madrugada de hoje.

Que evento espetacular fez o UFC, produção perfeita na Casa Branca. Não choveu, não teve enxame de insetos... Card entretenimento puro e luta principal das melhores dos últimos anos, com o americano azarão vencendo e tirando a invencibilidade do Topuria. Melhor impossível.

Que estrutura foda o UFC montou, evento ta lindo demais. Torcer pra dar tudo certo até o final. Card promete.

Re: AI consultants In my decades of experience I have rarely encountered an organization that is well served when third parties implement AI for them in the long term It’s not always the consultant’s fault, it’s just difficult to align incentives. Also, the underlying bottleneck that necessitated consultants to begin with: talent/recruiting issues, organizational stagnation, etc still remains after the consultant leaves. The best situation is when consultants upskill their clients and make themselves obsolete (but incentives are usually not aligned towards this). A common dynamic is when c suite shoves consultants down the throat of their organization in a mad dash to get AI implemented. In almost 100% of these situations, it goes poorly and the victory claimed is superficial: PowerPoints that proclaim “we are using AI to provide value” in board meetings. In reality, there is just a mountain of tech debt and creates further dependency on the consultant (which feeds the next consulting pitch) without fixing the more important underlying issues. I am not trying to throw stones. I say this as someone who has spent a long time as a consultant and have learned this the hard way. AI is too important to wholly outsource especially when your domain knowledge is the alpha. I believe the right way to use third parties for AI is for upskilling, not outsourcing. Also, you should be delegating to agents, not consultants where possible.

que loucura.

We’re teaming up @Palmeiras, the first football club to meaningfully build upon TacticAI: our AI system that can help simulate field scenarios and predict open play dynamics up to 8 seconds in advance. ⚽

Claude Fable 5's progress on hillclimbing APEX-SWE is accelerating exponentially. While other models focus on reasoning over a code base, Claude has unparalleled results at reasoning over Linear tickets, observability logs, Slack messages, and Google Drive files alongside the code base. It completes integrations and observability tasks across multiple apps, surpassing the capabilities of senior software engineers.

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

Se isto de fato acontecer, desta vez o Charlinho leva o pescoço do armeno.

Your margin is my opportunity: AI version… The biggest surprise of 2026 is that the capability gap between the best open-weight/source models and the best closed models has narrowed much faster than the pricing gap. The pricing gap remains enormous while the capability gap is quite narrow. What does this means in practice? For a company consuming 1 billion input tokens and 1 billion output tokens per month: GPT-5.5 Pro: ~$105,000 Claude Opus 4.8: ~$30,000 DeepSeek V4 Pro: ~$5,220 DeepSeek R1: ~$2,740 I asked ChatGPT what it thought about this and it answered as follows: “If I were building a company today, the economic frontier would look roughly like: DeepSeek V4 Pro / R1 for high-volume inference. Claude Opus for premium agent workflows where reliability matters. GPT-5.5 Pro only for workloads where its incremental capability demonstrably produces enough business value to justify a 20–40× token premium.” Most CEOs have no idea that, instead of this nuanced approach, their teams are running amok internally by picking the most expensive models in most cases and burning through massive budgets with zero governance, audit ability and control. As control planes like our Software Factory become more standard, you can expect the run rate revenue growth of the frontier labs to go down meaningfully and the revenues of the open models to skyrocket. Why? Because we can implement the nuanced approach above and be agnostic to model - instead focusing on customer intent, model task and cost management among other things.

Today, Anthropic engineers on average ship 8x as much code per quarter as they did compared to 2021-2025.

essa vai pegar fogo. Pqp!

Filmaço, recomendo. youtube.com/watch?v=d95J8yzv…

João Fonseca fenômeno demais, pqp.

Teria vaga no seu time?