Atención venezolanos trabajando en Estados Unidos o con familiares que trabajan en empresas estadounidenses.
Cuando donas dinero a una ONG, tu empresa podría aportar la misma cantidad (o incluso más) a esa misma organización.
Es como si cada dólar que tú das se convirtiera automáticamente en dos o tres dólares, pero el extra lo paga tu empleador, no tú (la misma iniciativa grandiosa de @yummyridesvzla y otras empresas, pero con distintos matches).
En Estados Unidos, miles de millones se pierden cada año porque los empleados no hacen donaciones.
Si no lo has hecho antes, ¡ES MOMENTO DE APROVECHAR ESTO PARA AYUDAR A VENEZUELA!
Estas son algunas de las organizaciones que están recibiendo “matching gifts” vía Bonterra ("Cyber Grants") y otras plataformas:
- Direct Relief
- Team Rubicon
- UNICEF
- Samaritan’s Purse
- Jesuit Refugee Service (JRS)
- Global Empowerment Mission (GEM)
- World Central Kitchen (WCK)
- Catholic Relief Services (CRS)
- World Vision
El proceso es súper sencillo: Donas a tu organización elegible. En el portal de empleado, registras la donación y solicitas el match. La empresa verifica y envía la contribución adicional a la ONG.
Revisar tu portal de beneficios un par de minutos puede literalmente duplicar o triplicar tu ayuda para Venezuela.
Si trabajas en cualquier industria, no pierdas la oportunidad de revisar con tu empresa y, si no estás usando el programa de matching, ¡ES MOMENTO DE QUE LO HAGAS!
¡Compartamos esta información! Puede ser una ayuda grandiosa para las próximas semanas que se nos vienen.
Estos QR contienen listas y herramientas de gran utilidad que se actualizan constantemente, les pido difundir por si alguien aún está buscando a un ser querido ⤵️
Starlink Mobile is providing free connectivity to @MovistarVe customers in the La Guaira region, and we are working to provide free service for @DigitelAyuda and @movilnet_ve customers as quickly as possible.
Families, communities and businesses with compatible LTE smartphones can now stay connected through SMS even if terrestrial networks are not available and customer phones will automatically connect to Starlink Mobile. Coverage will work best with a clear view of the sky.
Ya somos 7 empresas haciendo match de 25% de cada donación hasta un total de $400,000 entre todos para apoyar a Venezuela en estos momentos difíciles.
Esto incluye Yummy, Slash, Kavak, Luuna, La WaWa, Pebca y Felix Pagos.
Si eres CEO de una empresa, y te interesa unirte con cualquier monto, escríbeme.
https://t.co/agveWxhvum
Great job by comedian @JoseRGuzman and his team. They independently organized a group of Mexican “topos,” expert diggers/rescuers, and shipped them to Venezuela with the help of Copa Airlines.
Venezuelans on the ground and abroad are moving to dill the gaps left by the absence of the state in this crisis. Chavismo will always go back to the only things they know how to do: creating bureaucratic hurdles to control and create spaces for corruption. Today, bureaucracy kills.
These kinds of initiatives need support to be able to go over those hurdles.
They also need cash. We’ll leave details under this post.
Desaparecidos terremoto Venezuela, una plataforma ciudadana para reportar a todos los desaparecidos producto de los dos terremotos que acotaron al país.
https://t.co/BTm3Hr1BRp
Se busca la señora María Eugenia Torres González León.
V-4564912
Se encontraba en su apartamento, edificio Bravamar, Avenida Costanera, La Guaira
Contactar via WhatsApp si tienen información: 04244615020
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.
🚨ATENCIÓN🚨
Nuestro equipo ANOVA acaba de publicar un nuevo policy brief, muy oportuno para la discusión dado que se acerca el día del trabajador. La pregunta que nos hicimos es muy sencilla: ¿Cómo podemos medir el costo de la vida en Venezuela en 2026? ANOVA acaba de presentar, en colaboración con @franibar y su equipo de Econométrica, un nuevo instrumento; la Canasta Alimentaria Efectiva Ampliada (CAE-A).
Esta propuesta responde al problema de que Venezuela no cuenta con una canasta alimentaria oficial actualizada desde 1997, y el Estado dejó de publicar su valorización oficial desde 2013. Sin referencia oficial, no hay forma rigurosa de medir la pobreza ni el poder de compra de los salarios. La CAE-A intenta llenar ese vacío.
¿Qué es la CAE-A?
Es una canasta básica que contiene 30 productos: los 25 alimentos de mayor consumo en los hogares venezolanos + 5 productos de higiene (cloro, jabón, papel higiénico, toallas sanitarias, crema dental). Esta canasta cumple con todos los requisitos formales de una canasta normativa (representa el consumo actual de los venezolanos, se puede adquirir en cualquier parte del territorio y aporta 2.342 kcal/persona/día, que es el requerimiento calórico normativo mínimo para el funcionamiento humano).
¿Cuánto cuesta la CAE-A hoy en día?
Cifras a marzo de 2026 indican que esta canasta cuesta USD 98,7/mes por persona, es decir, una familia de 4 personas tendría que gastar USD 394,8/mes solo para cubrir sus necesidades más básicas de alimentación y un poco de higiene y limpieza. El costo de la canasta en DÓLARES se ha venido acelerando: la variación interanual de marzo de 2026 indica que la CAE-A se ha encarecido 33,7% con respecto a marzo de 2025, y su costo se ha duplicado desde 2021 (101,9%). Todo esto en USD.
¿Alcanzan los salarios en Venezuela para comprar la CAE-A?
La respuesta es sencilla: No. Por ejemplo, ANOVA estima que para marzo de 2026 el 41,8% de los trabajadores activos gana menos de USD 98,7/mes — es decir, no puede comprar ni su propia canasta alimentaria individual-. Si asumimos que el costo de la canasta básica (que incluye servicios, transporte y vivienda, etc.) es el doble de la canasta alimentaria (que es el supuesto típico que se hace para calcular estas cosas), entonces el salario del 77,1% de los trabajadores no alcanza para cubrir ni su propia canasta básica individual, eso sin meter en el cálculo el costo mensual que significa alimentar a otros miembros de la familia.
¿Cuál ha sido la trayectoria reciente del costo de la vida?
Pues, el período de relativa estabilidad cambiaria y reactivación económica que ocurrió entre mediados de 2022 y finales de 2024, permitió que el costo de la canasta permaneciera relativamente estable y los salarios mejoraron su capacidad de compra, fue el período de optimismo, del “Venezuela se arregló”. Pero desde finales de 2024, una aguda aceleración de la inflación, que mantiene al país de nuevo al borde de la hiperinflación, ha borrado, al menos parcialmente, algunos de esos avances. En los últimos 15 meses, la situación de los trabajadores se está deteriorando significativamente y con ello las condiciones socioeconómicas generales de la población.
¿Implicaciones de política?
La CAE-A propuesta por ANOVA y Econométrica llena uno de los tantos vacíos estadísticos dejado por décadas de opacidad oficial. La rehabilitación del sistema estadístico nacional es urgente: No habrá recuperación de las capacidades del Estado para implementar políticas públicas efectivas sin datos públicos transparentes, oportunos, actualizados y de calidad.
Lea el nuevo Policy Brief completo en la página web de thinkanova dot org
Introducing Claude Opus 4.7, our most capable Opus model yet.
It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back.
You can hand off your hardest work with less supervision.
Some other points worth making:
1. A lot of people, including people in positions of authority, told us recently that models of Mythos capabilities wouldn’t be a thing—that models with obvious “national security” implications would not be forthcoming. Those people were wrong. There’s nothing to “do” about this. But you should remember it.
2. Mythos is the first model where the theft of the weights by an adversarial actor feels like it would be a major deal. You better believe they will try, and if they don’t succeed with Mythos, they will eventually.
3. We are thoroughly in the era of “the labs’ best models may well not be public in the way we are used to.” This will be because of a combination of compute constraints, economic reality, competitive advantage, and safety concerns.
4. (3) means that the most relevant models may be decreasingly legible to the general public over time. We might all have less of a sense of what is going on. This is where transparency, and eventually auditing, can come in handy. Internal deployments were one of the major motivations for my work on “entity-based” regulation (we have to regulate the company, not the model, because the details of the model itself are fuzzy if it isn’t released), and my work on private governance: independent bodies that would evaluate frontier AI company safety practices, including internal deployments.
5. Depending on the extent and duration of the coming compute squeeze, we could enter a market dynamic where the best models are only available to the highest bidder—in other words, where compute is a sellers market rather than a buyers market. Imagine competing firms in the economy bidding against one another for access to the best and most tokens, and the frontier labs as, in essence, kingmakers. The governance regime I have described above in (4) is not designed to stop this dynamic, but for obvious reasons policymakers and the broader public may find it unpalatable. On the other hand, if the compute squeeze is *that* bad (not a guarantee, and I rate this unlikely to be clear), it probably means malicious actors struggle to find tokens too. That is good for “safety”!
Some brief thoughts on Mythos
We’ve known this was coming for a long time. At least, we *should* have. Extremely effective software vulnerability discovery was clearly coming to anybody paying attention.
It has also been clear that all AI policy so far has been made and executed with training wheels. It was always clear that, sometime soon, the training wheels would come off.
The training wheels aren’t fully off just yet—this model is being kept under lock and key, and Anthropic does not seem inclined to release Mythos preview to the public anytime soon, if ever. The training wheels will be off when these capabilities are fully diffused in ways centralized actors cannot control. It is inevitable that this will happen. The point is not to argue about whether we should “ban open source” or similarly unrealistic notions. The point is to harden the world for this new reality.
I applaud Anthropic—and I especially applaud @logangraham—for doing so. But their efforts alone are not close to enough. Project Glasswing—a partnership with Anthropic and other companies—seems nice, but unsurprisingly it lacks uniform frontier lab participation.
It would probably be ideal, for our national cyberdefense, if the federal government were not trying to destroy Anthropic and eliminate their models from government systems. If anything, the government should be trying to work more closely with Anthropic. As a side note, I hope Anthropic is working with state and local government entities on cyber vulnerability discovery, since many of our adversaries know that state and local is America’s soft underbelly in so many ways.
In any event, the Mythos news should lay bare how stupid and counter-productive the Department of War’s feud with Anthropic really is. As someone who suspected all this was coming (not from inside knowledge but from it being ~obvious), that probably explains why I have had such a strong reaction to that feud. It’s this senseless distraction just at the time that the training wheels are coming off. I hope the two parties can resolve their differences now, for the sake of the country, but I am not hopeful.
I do want to call out, however, the numerous political and career civil servants in the Trump Admin who do get these issues, know how stupid the Ant-DoW stuff is, and want to work with the frontier labs like adults. I wish you all utmost success.
I find myself inclined to end on some positive notes. Mythos appears to be—according to Anthropic at least—“the most aligned” model Anthropic has ever trained. We are approaching superhuman capabilities in some domains, and yet alignment is getting better rather than worse. That’s not nothing. I know some of you think the model is faking its alignment, or aware when its alignment is being tested. I don’t have a good answer.
Finally, there is this: Mythos was made by an American company, and like most successful American companies, it has a vested interest in maintaining order and peace, and it is investing substantial resources in mitigating the risks of its technological progress, as I expect most of the American labs would. This is cause for optimism: The incentives of capitalism are working.
The training wheels are coming off, but at least we are the ones removing them, as opposed to our enemies. Perhaps we can be the first to learn to bike for real. The first step would be to get beyond all the low-fidelity, under-specified, pimply little fights of AI policy’s prepubescent era. That goes for me too.
“What hath God wrought,” wrote the first telegram. What, indeed. In this case, the answer is still up to us.