〔NFH〕non-Fungible Human

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〔NFH〕non-Fungible Human

〔NFH〕non-Fungible Human

@ulises_ux

Ulises Arvizu, papá, esposo y Diseñador, Principal UX Designer (Redwood Design System) at Oracle cohost en @theuxrebels y @dscc_cmx entusiasta del Web3

Mexico DF Katılım Mayıs 2008
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〔NFH〕non-Fungible Human
1/12 ¿Cómo empece mi investigación para entender más de blockchain, e inicialmente sobre NFTs? Acá el hilo 👇🏼👇🏼
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
how to use obsidian + claude code to build a 24/7 personal operating system and build your startup: 1. write everything in markdown (daily notes, projects, beliefs, people, meetings) 2. link your notes together so they mirror how your brain actually thinks. 3. install obsidian cli so claude code can read your entire vault + the relationships. 4. stop reexplaining projects every session. use reference files instead. 5. build custom slash commands: /context → load your full life + work state /trace → see how an idea evolved over months /connect → bridge two domains you’ve been circling /ideas → generate startup ideas from your vault /graduate → promote daily thoughts into real assets 6. keep a strict rule: human writes the vault. agents read it, suggest, execute. 7. let claude aka clode surface patterns you’ve been unconsciously circling for years. 8. delegate from inside your notes. one sentence in obsidian → agent handles the rest. 9. treat writing as leverage.the more you write, the more context your agents have. 10. understand this:markdown files are the oxygen of llms. i really enjoyed seeing how to use obsidian thanks to @internetvin vin uses ai like a thinking partner wired into his life’s work. 99.99% of people won’t do this because it requires reflection + setup. but once the vault exists, the agent stops being generic. it starts thinking in your voice. episode is live on @startupideaspod (more there) this one is different. send this tweet to a friend. im still processing how game changer obsidian + claude code is, maybe you too watch
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Antonio Calderón
Antonio Calderón@l0rdmalware·
@patomolina Hola, soy el responsable de compliance en Anthropic. El señor Pato y su equipo estaban usando nuestros modelos, para comprometer OnlyFans y ver el contenido sin pagar un solo peso.
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Pato Molina
Pato Molina@patomolina·
Anthropic decidió dar de baja a toda nuestra organización por una supuesta infracción de sus condiciones de uso. Qué política específica infringimos no tengo ni la menor idea: simplemente recibimos un mail y listo, adiós Claude. Si querés apelar la medida hay que completar un Google Form, así de ridículo como suena. De golpe más de 60 personas se quedaron sin una herramienta fundamental para trabajar. Integraciones, skills, historial de conversaciones: todo perdido o, en el mejor de los casos, parado por tiempo indeterminado. Enorme aprendizaje para cualquier empresa de software que dependa de herramientas de IA en procesos críticos. Nunca hay que poner todos los huevos en una canasta.
Pato Molina@patomolina

@claudeai you took down our entire organization with 60+ accounts belonging to a legitimate company for no apparent reason, without any explanations. The only way to appeal the decision is by filling out a Google Form? Very bad UX and customer service.

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Tony Fadell
Tony Fadell@tfadell·
Most tech companies break out product management and product marketing into two separate roles: Product management defines the product and gets it built. Product marketing wires the messaging- the facts you want to communicate to customers- and gets the product sold. But from my experience that's a grievous mistake. Those are, and should aways be, one job. There should be no separation between what the product will be and how it will be explained- the story has to be utterly cohesive from the beginning. Your messaging is your product. The story you're telling shapes the thing you're making. I learned story telling from Steve Jobs. I learned product management from Greg Joswiak. Joz, a fellow Wolverine, Michigander, and overall great person, has been at Apple since he left Ann Arbor in 1986 and has run product marketing for decades. And his superpower- the superpower of every truly great product manager- is empathy. He doesn't just understand the customer. He becomes the customer. So when Joz stepped into the world with his next-gen iPod to test it out, he fiddled with it like a beginner. He set aside all the tech specs- except one: battery life. The numbers were empty without customers, the facts meaningless without context. And, that's why product management has to own the messaging. The spec shows the features, the details of how a product will work, but the messaging predicts people's concerns and finds way to mitigate them. - #BUILD Chapter 5.5 The Point of PMs
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alex mondragon
alex mondragon@alxmondragon·
Si las luchas son de mentiras cómo explican esto?
Hermosillo, Sonora 🇲🇽 Español
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alex mondragon
alex mondragon@alxmondragon·
Aquí revisitando el trabajo del 17 de julio del 2024 del inigualable @ulises_ux; colaboración con motion designers. Todo un capo.
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Shortcut
Shortcut@shortcut_is·
⌘ is... 🖥️💾⚡
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Sherry Jiang is at ai engineer singapore
how were docusign and calendly $1B+ companies for YEARS…as single-feature products you could now vibe-code in a weekend?
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Om
Om@omartosca·
Estoy harto de los divulgadores AI que se enfrascan en no explicar nada nadita y asumir que su audiencia lo sabe todo. Peor aún, de los click baiteros. Creo fervientemente que se puede divulgar, educar y abrir discusión al mismo tiempo. Estoy a nadaaaa de... 🥸
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〔NFH〕non-Fungible Human
〔NFH〕non-Fungible Human@ulises_ux·
Interesante!!!
Thinking Machines@thinkymachines

Today, we are excited to announce Thinking Machines Lab (thinkingmachines.ai), an artificial intelligence research and product company. We are scientists, engineers, and builders behind some of the most widely used AI products and libraries, including ChatGPT, Character.ai, PyTorch, and Mistral. Our mission is to make artificial intelligence work for you by building a future where everyone has access to the knowledge and tools to make AI serve their unique needs. We are committed to open science through publications and code releases, while focusing on human-AI collaboration that serves diverse domains. Our approach embraces co-design of research and products to enable learning from real-world deployment and rapid iteration. This work requires three core foundations: state-of-the-art model intelligence, high-quality infrastructure, and advanced multimodal capabilities. We are committed to building models at the frontier of capabilities to deliver on this promise. If you’re interested in joining our team, consider applying here: 6wajk07p.paperform.co

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H
H@hcompany_ai·
We’ve all been there: ‘I’ll start my side hustle next year…’ for the last three years. But for 2025, let Runner H do the heavy lifting before the ball drops. No more excuses! What would you like to build this year with Runner H?
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