Yismary Quintero

Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code. But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along. So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions. TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.

Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.

A lot of people are saying this is a fumble for Anthropic But I think that's drastically overestimating OpenClaw lol I use it and I love it, but Anthropic is building a suite of easy-to-use beautiful perfected tools for professionals, out and inside of tech, and OpenClaw just isn't that. It's an AI slop codebase that encourages people to ignore opsec to use it, and Anthropic does not want their name anywhere near that I still love it, it's the first of its kind and a great proof of concept, but it doesn't match Anthropic's brand of high standards

Bad Bunny ha hecho el mejor medio tiempo de un Súper Bowl en lo que va de siglo. No había otro con un nivel de importancia tan grande desde el de Michael Jackson en 1993, y es muy posible que lo haya superado.

Tras testificar ante el Senado sobre la situación en Venezuela, el secretario de Estado Marco Rubio recibió a María Corina Machado en el Departamento de Estado en Washington después de su comparecencia legislativa. La reunión duró aproximadamente 90 minutos, un tiempo claramente por encima de lo habitual para este tipo de encuentros bilaterales. En la agenda, Rubio mostró especial interés en obtener detalles concretos sobre presos políticos —nombres, apellidos y ubicación— y en discutir preocupaciones sobre la injerencia de actores externos en Venezuela, incluidas menciones al papel de Rusia, China e Irán en el país.

¿María Corina fue promotora de la Ley Desarme? ¿Fue ella, y no los chavistas, la mente maestra de esta ley, como dice en este video Bittar? Vamos a las pruebas históricas, de donde nos gusta basarnos, y no a las falacias como lo hacen quienes divulgan la Narrativa Chavista:🧵👇🏻