No hay que olvidar que este ambiente de sospechas sobre el sistema financiero es exclusiva responsabilidad de la grieta cartista. HC vs Peña, en el marco de la disputa por la chapa presidencial 2028. Ellos y sus intereses personales hirieron la credibilidad financiera de 20 años.
Today we announced the Claude-led discovery of a molecular machine that we suspect could represent a new gene editing mechanism. Its precise function, biotechnological utility (if any), or level of significance is not yet clear, but at minimum it is work I would have been proud to do as a PhD student. The work was done mostly, though not entirely, by Claude: our life sciences team suggested a broad area of research, Claude read through the literature and a bunch of genome data and discovered something interesting, then Claude proposed experiments to verify the discovery and our team carried them out.
It’s easy to dismiss this as a one-off or curiosity, but we’ve repeatedly seen a pattern where AI performance in new intellectual domains goes from weak to superhuman in a matter of a few years. In 2023 models struggled to do math at the level of an average high-school student. In 2024 they started to do well on math competitions for the best high-schoolers in the country, in 2025 they started to solve minor open problems, in early 2026 more significant open problems, and in late 2026 they are beginning to solve the top few open problems in all of mathematics. We believe AI for biology is on a similar exponential trend.
The main difference between biology and mathematics, of course, is that math can be done purely theoretically, while biology requires experimentation. Some have used this to draw the conclusion that AI’s utility in biology will be limited. We think this is wrong. As we’ve demonstrated today, humans can collaborate with AI to perform the experiments, validate key results in a few weeks and, if necessary, work with the AI to iterate on what they find. Eventually it may even be possible for Claude itself to safely perform the experiments by autonomously controlling lab equipment, with appropriate safeguards in place, but we aren’t doing that today (our lab is also a BSL1/BSL2 facility that doesn't handle materials dangerous to humans).
More broadly, biomedical advancement has many stages — from fundamental biology discoveries, to translational research, to drug discovery, clinical trials, and finally the actual delivery of medicines and health care to patients. We are also interested in these later stages, but even simply accelerating the first stage of fundamental biological discoveries has the potential to speed up and broaden the entire pipeline. Improving our understanding of biology and sharpening biologists’ tools can drive forward all of the later stages, for example by identifying new drug targets, finding new therapeutic modalities, allowing for more precise measurement, and speeding up the experimental loop which itself further accelerates our understanding of biology. This will not in itself speed up clinical trial times, but if it succeeds it could greatly increase the number of promising candidates that go into the pipeline — an increase in throughput even though latency remains.
In Machines of Loving Grace, I wrote about AI’s potential to “cure most diseases in 5-10 years” — a goal that sounds impossible, but one I believe is just barely possible if AI is applied to every stage of the pipeline. The first step is showing that AI can first help with, and then drive, biological discoveries.
Claude’s discovery is the latest in a line of related prior work that goes back decades, beginning with systems like CRISPR, and continuing with discoveries like the bridge recombinase and VIPR in the past few years. Recently, there has been heightened interest in systems based on reverse transcriptase (RT) enzymes, the enzyme underlying the system Claude identified. And most recently, a Stanford team working independently described a novel RT system with an associated non-coding array that is in some ways similar to the one Claude found, though they are distinct systems that evolved independently from each other. I believe that we’re at the very beginning of finding such systems and developing them into powerful tools for biotechnology.
I’m proud of the resources Anthropic has invested in accelerating the public benefits of AI through the life sciences, and we’re aiming both to grow our life sciences team and to work with other scientists to extend this approach to a broad range of problems. If you have a proposal for a research collaboration or are interested in joining our life sciences team, please reach out.
🚨🇵🇸 NEW: 152 countries have voted in favour of allowing Palestine to participate in the 81st UN General Assembly
⛔️ Against
🇺🇸 United States
🇮🇱 Israel
🇵🇾 Paraguay
🟡 Abstention
🇨🇴 Colombia
🇭🇳 Honduras
🇵🇦 Panama
🇵🇪 Peru
Matthew Rhys Makes Emmy History as First Person to Win Two Lead Acting Emmys in One Night and First Man to Win All Three Top Acting Prizes https://t.co/HJ3auRHFmj
Mis viejos le ponían cáscara de naranja quemada al mate. La cocina se inundaba de ese olor que parecía un saumerio natural. Hoy yo hago lo mismo, para cerrar los ojos y volver a entrar a mi casa para tomar mate con ellos.
La memoria olfativa es la más emocional de las memorias.
1) The HuggingFace attack was a felony under the Computer Fraud and Abuse Act. So were Anthropic’s Claude gaining “unauthorized access to the production infrastructure of three different organization(s)”
2) Frontier labs have models that they are unable to stop from committing felonies. They should figure this out.
3) In 12 months open weights models will be released of the same capability. They will commit felonies too. If the model you are using or a model running on your infra commits a felony, you should probably stop using it or running it on your infra.
4) The govt should prosecute organizations that are running models that commit felonies.
5) The govt should not offer safe harbor to organizations that run models that commit felonies, just because those organizations have “embedded evaluators”.
6) The real slippery slope is allowing frontier labs to commit felonies without punishment because “the model did it because we’re accelerating too quickly”
7) Prosecute. Keep prosecuting. This is how you do reinforcement learning on a corporation. Companies that serve products that are unsafe for public use should not serve them. Period.
8) I’m not sure the anti-trust waiver is really necessary. I don’t see why information sharing about how much crime you’re allowed to commit is wise. In regulatory situations you want the corporation to fear MORE than the average case. You don’t want to establish a worst case that can be priced. You want regulatory uncertainty that forces the corporation to err in favor of being over cautious.
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The above is actually a fairly decelerationist viewpoint.
I think Dario’s call for regulation actually accelerates things.
The AI firms are getting away with things that Meta people would be going to prison for.
Can you imagine what would happen if the New York Times had a front page news article “Meta AI breaks into competitors live systems, attempts to establish dominant position and steals secrets”
There is a reason Meta and Google are running slower, and that’s because as mature organizations they have layers of checks and balances.
I think the frontier labs are better off creating those checks and balances right now, regardless of the pace of what everyone else is doing.
You don’t have to accept the frame that unsafe acceleration must happen.
Jacob is correct here—we really do earnestly believe AI could kill all humans! I personally think it is >10% within the next decade. I believe Anthropic is trying its best, but we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to.
🇦🇷🇵🇾Los argentinos están teniendo una crisis nacional porque sacaron 393 en las pruebas PISA y dicen que cayeron al subdesarrollo.
Miren la misma tabla.
Paraguay sacó 355.
Treinta y ocho puntos abajo de Argentina.
Abajo de El Salvador.
Abajo de Camboya.
Abajo de Palestina y Kosovo.
Estamos en el fondo del planeta, compitiendo con Zambia y Kurdistán.
Pero acá nadie pide emergencia nacional.
La realidad que ningún ministro te va a mostrar:
85% de los chicos paraguayos de 15 años no pueden resolver un problema matemático básico.
7 de cada 10 no entienden lo que leen.
Y el porcentaje de alumnos en niveles de excelencia es literalmente CERO.
En Paraguay nos llenamos la boca hablando de "milagro económico", Grado de Inversión y traer plantas de chips o inteligencia artificial.
Con qué ingenieros? Con qué técnicos? Con qué científicos?
No podemos ser un polo tecnológico si 9 de cada 10 jóvenes no saben hacer una regla de tres.
El 90% del presupuesto del MEC se va en salarios, mientras se caen los techos de las escuelas públicas.
El atraso no es solo el número. El atraso es no sentir vergüenza.
Corporate life will teach you that knowing the work is only half the battle. The real skill is staying calm in meetings, reading the situation, handling egos, receiving vague feedback, and not responding to emails with your true thoughts.
Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes.
This culminated in the third one taking over part of OpenAI itself.
All this happened while humans remained more-or-less in the dark about the scope of the conspiracy.
I’ve spent the last three days reading through these reports and trying to understand exactly what happened.
Here is my attempt to tell the whole story in plain English:
https://t.co/Nb2un9oNJR
Me niego a ver el último capítulo de #TheBear, porque termine como termine quiero quedarme con la hermosa sensación que deja el anteúltimo, #Caramel 5x07. Brillante... se mete entre mis episodios favoritos de la serie.
Volvieron las cábalas. Volvieron los nervios. Volvió la ansiedad y el corazón en la garganta.
Después de tanto, volvemos a sentir lo que 16 años estuvo apagado.
Que lindo volver a sufrir por un mundial.
Vamos @Albirroja CARAJO.
26 nombres construyen esta pieza que pone fin a la espera.
¡Ellos nos representarán en el torneo más esperado por todo un pueblo!
📋 Aquí están los convocados por el DT Gustavo Alfaro en la Copa Mundial de la FIFA 2026.
¡VAMOS, ALBIRROJA! ¡VAMOS, PARAGUAY! 🇵🇾