The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
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.
Acabo de ver un anuncio de 5 MINUTOS completo y ahora quiero la miniserie. Hace cuánto no pasaba esto?
Lo loco no es eso. Es imaginar lo que viene en producción publicitaria en 2-3 años: misma campaña, 50 versiones distintas por país, ciudad, hasta barrio. Cast distinto, referencias distintas, performance al máximo nivel.
Sin consumir el presupuesto.
Y los actores? Ya cualquiera puede ser uno 🤩 Películas o series enteras protagonizadas por creadores de contenido que nunca pasaron por Broadway?
Qué época para estar vivos.
Tres cosas que me llamaron la atención:
1.El prompting agresivo no movió nada. El modelo pesó más que la instrucción.
2.Misma bici rota: Haiku la vendió en $38. Opus en $65. Si no usás modelo frontera para lo que importa, perdes.
3.El humano no se va. Cambia de lugar. Antes negociaba, ahora gobierna lo que negocia.
46% dijo que pagaría por delegar esto. No por mejor precio. Por no tener que hacerlo 🤔
New Anthropic research: Project Deal.
We created a marketplace for employees in our San Francisco office, with one big twist. We tasked Claude with buying, selling and negotiating on our colleagues’ behalf.
¿En serio nadie leyó la parte de que al publicar un proyecto en @lovable se comparte también todo tu historial de chat para lograrlo?
No les vayan a contar a los vibe-bros que existe GitHub 🤫
We’re sorry our initial statement didn't properly address our mistake. Here's what a public project on Lovable means, and how we got to where we are today:
In the early days, people didn't know what Lovable was capable of. So we wanted to make it easy to explore what others were building, as a way to spark ideas and lower the barrier to getting started. Like scrolling GitHub or Dribbble: you browse projects to see what's possible, then go build your own.
When you create a project on GitHub, you can make it private or public. Lovable worked the same. Users had a "Public" or "Private" option right in the chatbox. A public project meant the entire project was public, both chat and code. “Just like a public project on GitHub," we thought.
Over time, we realized this was confusing. Many users thought "public" just meant others could see their published app, not the chat of an unpublished project. That's reasonable.
On the free tier, users originally couldn't create private projects. They had to upgrade to a paid plan to do so. In May 2025, we changed this: users on the free tier could choose to make their projects private. For enterprise customers, the public visibility setting was disabled altogether. And in December 2025, we switched to private by default across all tiers.
We also retroactively patched our API so public project chats couldn't be accessed, no matter what. Unfortunately, in February, while unifying permissions in our backend, we accidentally re-enabled access to chats on public projects.
This was reported through our vulnerability disclosure program (via HackerOne). Unfortunately, the reports were closed without escalation because our HackerOne partners thought that seeing public projects’ chats was the intended behaviour.
Upon learning this, we immediately reverted the change to make all public projects’ chats private again. We appreciate the researchers who uncovered this.
We understand that pointing to documentation issues alone was not enough here. We’ll do better.
What if a non-profit like FIFA was an open-source project where fans could contribute and AI agents do the management. Would they need all that budget?
Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude.
Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.
The world is transitioning to a compute-powered economy.
The field of software engineering is currently undergoing a renaissance, with AI having dramatically sped up software engineering even over just the past six months. AI is now on track to bring this same transformation to every other kind of work that people do with a computer.
Using a computer has always been about contorting yourself to the machine. You take a goal and break it down into smaller goals. You translate intent into instructions. We are moving into a world where you no longer have to micromanage the computer. More and more, it adapts to what you want. Rather doing work with a computer, the computer does work for you. The rate, scale, and sophistication of problem solving it will do for you will be bound by the amount of compute you have access to.
Friction is starting to disappear. You can try ideas faster. You can build things you would not have attempted before. Small teams can do what used to require much larger ones, and larger ones may be capable of unprecedented feats. More and more, people can turn intent into software, spreadsheets, presentations, workflows, science, and companies.
People are spending less energy managing the tool and more energy focusing on what they are actually trying to create. That shift brings a kind of joy back into work that many people haven’t felt in a long time. Everyone can just build things with these tools.
This is disruptive. Institutions will change, and the paths and jobs that people assumed were stable may not hold. We don’t know exactly how it will play out and we need to take mitigating downsides very seriously, as well as figuring out how to support each other as a society and world through this time. But there is something very freeing about this moment. For the first time, far more people can become who they want to become, with fewer barriers between an idea and a reality. OpenAI’s mission implies making sure that, as the tools do more, humans are the ones who set their intent and that the benefits are broadly distributed, rather than empowering just one or a small set of people.
We're already seeing this in practice with ChatGPT and Codex. Nearly a billion people are using these systems every week in their personal and work lives. Token usage is growing quickly on many use-cases, as the surface of ways people are getting value from these models keeps expanding.
Ten years ago, when we started OpenAI, we thought this moment might be possible. It’s happening on the earlier side, and happening in a much more interesting and empowering way for everyone than we’d anticipated (for example, we are seeing an emerging wave of entrepreneurship that we hadn’t previously been anticipating). And at the same time, we are still so early, and there is so much for everyone to define about how these systems get deployed and used in the world.
The next phase will be defined by systems that can do more — reason better, use tools better, plan over longer horizons, and take more useful actions on your behalf. And there are horizons beyond, as AI starts to accelerate science and technology development, which have the potential to truly lift up quality of life for everyone. All of this is starting to happen, in small ways and large, today, and everyone can participate. I feel this shift in my own work every day, and see a roadmap to much more useful and beneficial systems. These systems can truly benefit all of humanity.
@jxvier Javi, me acuerdo perfecto. Y del robovan que nunca más apareció.
La diferencia acá: esto lo construyó Google, lo financia el CAF, lo evalúa la OPS y ya tiene 1.5 millones de citas reales. No parece un demo.
¿Vos creés que estas organizaciones se prestarían para algo así? 🤔
@ricardoerl Punto válido Richard!
Mi análisis se enfoca solo en la arquitectura de IA que mostraron.
Y me quedo con tu última línea: hay que retomar las comunidades. Vos ya lo hiciste antes y mostraste el camino.
Lo técnico dejó de ser suficiente.