A partir de hoje, não pago mais pedágio! Afinal, a rodovia é pública. Que se dane a concessão, o contrato e quem banca a manutenção!
Parece um raciocínio de idiota? Parabéns, você entendeu a lógica que querem aplicar ao Maracanã.
@sosoares021@questiona_te@D_Tarczynski 1 - nao tanko essa porra desse portugues arcaico kkkkkk
2 - Não tem nenhum fato novo aí basicamente requentando o que foi dito ontem
3 - Ate agora nada de concreto aconteceu, so esse deputado lerdao querendo causar na internet
If Republicans win the House of Representatives and the Senate in the 2026 Midterm Elections, I’m going to give all adult citizens in the United States of America, $5,000! Thank you for your attention to this matter, and I look forward to signing those checks!
🚨O FIM! Com a proibição das Bets, Rancho do Maia pode chegar ao fim, sua estrutura como lutas, gincanas, eram 100% patrocinadas por casas de apostas, com a decisão do Governo, o projeto caminha para o fim. 💔
We have information that Moonshot AI distilled Anthropic’s Fable for the development of its K3 model.
To do this they developed a sophisticated internal platform to conduct large scale distillation against U.S. models, allowing them to quickly switch between multiple methods of access to avoid detection. Moonshot AI has also acquired GB300-equipped servers and has accessed GB300s in Thailand, likely to train its AI models.
The United States strongly supports the free and fair development of AI, including a thriving competitive ecosystem that spans frontier models, specialized systems, open-source frameworks, and open-weight models. Legitimate AI distillation used to create smaller, more efficient models plays a vital role in this open innovation ecosystem. However, large-scale, covert industrial distillation aimed at stealing proprietary U.S. technology and undermining American research is unacceptable.
🦔An NBER study by MIT and Wharton researchers tracked 100,000 GitHub developers before and after adopting AI coding tools. Autonomous agents produced 17x more lines of code. But by the time that work went through review and release, the uplift shrank to 30%. When they checked four major app marketplaces, they found more new apps but no increase in total usage or downloads. More software shipped, but nobody used it.
My Take
The bottleneck in software has always been deciding what to build, reviewing whether it works, and convincing someone to use it. AI accelerated the typing and left all three of those untouched.
The entire financial case for the AI buildout assumes faster output translates to more economic value. This study measured it and found that it mostly doesn't, at least not yet. Alphabet reports Wednesday with $180 billion in capex guidance. If the productivity gains from AI coding tools can't survive contact with the rest of the production chain, the revenue assumptions underneath that spending need to be a lot more conservative than what these companies are currently projecting.
Hedgie🤗