Olivia (@theanega) header
Olivia (@theanega) profile picture

Exploring health data infrastructure & writing (https://nitter.cf/t.co/o2RFt35aYa)

Barcelona
Joined October 2017
Photo by Olivia (@theanega)Photo by Olivia (@theanega)Photo by Olivia (@theanega)Photo by Olivia (@theanega)Photo by Olivia (@theanega)Photo by Olivia (@theanega)Photo by Olivia (@theanega)Photo by Olivia (@theanega)
Estoy enfadada con la fragmentación de datos clínicos en España. Creo que un historial clínico único nos haría a todos (pacientes, sanitarios, científicos) más felices, y nos ahorraría dinero a largo plazo. 👇
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Replying to @salonium
Probably one of the most exciting graphs I've ever seen
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Olivia retweeted
Ordinary Abundance. This is the greatest thing I've read in weeks. No kidding. This should win a Pulitzer in a category not yet invented. ordinaryabundance.com/
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Olivia retweeted
I saw a post on Reddit that said, “When you walk through a museum, you’re not just looking at art. You’re moving through centuries of people trying to explain love, grief, power, beauty, and belonging.” I don’t think I’ve ever seen a museum described so beautifully.
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Ayer jugué a un videojuego por primera vez en mi vida. La culpa es de un libro. Tomorrow, and Tomorrow, and Tomorrow, de Gabrielle Zevin, va de dos amigos que hacen videojuegos, y me dejó con la sensación de estar perdiéndome algo grande. gabriellezevin.com/tomorrowx…
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Mi amigo Pablo se trajo la Play a casa y estuvimos tres horas para pasarnos What Remains of Edith Finch. Espectacular. Es la historia de una familia (donde solo queda un último miembro) y vas explorando la casa familiar y descubriendo cómo murió cada uno. giantsparrow.com/games/finch…
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Acabé pensando que la vida es muy corta y que dentro de una familia hay tantas historias y personajes tan diferentes porque al final, aunque todos estemos hechos de la misma pasta, somos únicos en el mundo.
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exactly
If i had the mindset I have now, I wouldn’t have made those mistakes. but if I hadn’t made those mistakes, I wouldn’t have the mindset i have now.
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Olivia retweeted
i gave 5.6 sol access to my camera roll and had it extract pictures of every piece of clothing i own from my photos then, told it to find new outfits for me and render them on me with gpt-image! its kinda cool to see your entire wardrobe in a collection like this
i'd love to see interesting things people have built with 5.6 sol. i will send the person who made the coolest thing a special gift from the openai archives.
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“I just feel like, as you get older, you have to justify your life, you know? And your choices. And when I'm with you guys, it's just so, like like, transparent what my choices were, and my mistakes.” youtube.com/watch?v=ikleyT_4…
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Had a conversation about starting your 30s recently and what being an adult means. My current imperfect definition: being an adult means recognizing that your decisions are your own and accepting responsibility for their consequences.
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El peor daño que se le hace a una persona es darle todo. Quien quiera anular a otro, solo tiene que evitarle el esfuerzo.
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He escrito aquí por qué este problema nos afecta a todos/as y mis ideas para solucionarlo: open.substack.com/pub/theane…
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Does anyone have any tips on how to use Instapaper tags to organize articles?
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Olivia retweeted
i made fruit ninja but you've got a guitar instead of a sword
i made snake but the only way to move is by playing guitar chords
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At @IFP, we’ve spent the past 3 years thinking about all the different ways the US government & philanthropy fund R&D. Until now, R&D funders haven’t had a systematic way to match the innovation problem to the right funding tool. We built THE ATLAS OF INNOVATION to fill that gap. atlasofinnovation.org Alongside @UChi_MSA, we’ve boiled down thousands of hours of research into a handful of questions covering how much the R&D funder knows about: - the problem they want to solve - the solution it should have - the team that should build the solution Why the Atlas matters: The US government spends close to $200 billion every year on R&D. And after the Anthropic and OpenAI IPOs, there will be hundreds of billions of dollars in new philanthropic giving. Choosing the correct funding approach to the social problems they’re trying to solve will mean the difference between success and failure. For example, NSF research grants have helped seed breakthroughs from MRI machines to search engines, but grants aren’t built to deliver the kind of industrial speed and scale that a project like Operation Warp Speed required. Picking the wrong funding approach can leave programs behind schedule, over budget, or without anything to show for all the money they spent. How we built the Atlas: 1. We began by creating a matrix of dozens of considerations that a thoughtful policymaker or funder would ideally weigh before deciding how to fund a project. 2. We looked at every major funding approach, from grants to R&D tax credits to advance market commitments, analyzing when they work well and when they fail to meet the mission. 3. We spent months deep in the weeds of contract theory and incentive design, looking at historical examples and the state-of-the-art research in innovation economics. 4. We then worked to turn that research into a tool that time-strapped policymakers and philanthropic funders could rely on at the start of an innovation funding cycle. 5. Three years later, we are launching just that: a new (and visually stunning) website to help funders decide how to best incentivize innovation. And all they have to know… is what they currently know about their innovation goal! The Atlas takes care of the rest. How to navigate the Atlas: Answer questions about your goal to find the funding approach aligned with the information you have. Each funding mechanism has its purpose for particular technologies and specific moments in development. There shouldn’t be an ARPA for every field, just like we don’t need a prize or AMC for every innovation. The Atlas helps you navigate those tradeoffs.
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This is the best post I’ve ever read on the danger of outsourcing your thinking during the PhD. ergosphere.blog/posts/the-ma…
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Education is going to get so fun y’all 🤯
Fun interactive science app ideas | Part 3 Played around with generating 3D biological structures and made an app to explore them interactively UI Design GPT Images 2 Code Gemini 3.1 Pro More demos ↓
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It’s estimated that the Protein Data Bank (PDB) cost around $13B to create. Alphafold was only possible because of it. If we want ML to solve biology, we should be funding the creation of databases and the development of new assay technologies. ML is nothing without data.
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