Frontend engineer lead at @Mango | Former @Freepik, @Wuolah

Madrid, Comunidad de Madrid
Joined December 2011
Y tú con síndrome del impostor.
Un adelanto del disco de electrónica que estoy terminando. 😎 Nada convencional.
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Muchas tardes y buenas gracias
Anthropic, with the help of Claude, spent five months building a replacement for Git, while Linus Torvalds built Git single-handedly in just 10 days.
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Por favor, difusión 🙏 Hi @AnthropicAI, @ClaudeDevs, @claudeai and @DarioAmodei, please help. Our friend @miriamgonp needs access to your models to keep fighting breast cancer. She has built her own team of AI agents to help study her case, and credits to use your models would be a tremendous help. The Dana-Farber Cancer Institute itself has acknowledged that the information uncovered by the agents can be very helpful. It’s a small thing for you, but it would mean so much to her. Thank you.
Sobre el estudio que estoy haciendo con Polarias ahora junto a Dana Farber me dice: Mi estimación es que al código y los documentos les queda de uno a dos días de trabajo continuo de agentes. Después vienen las corridas reales con tus láminas, cuya duración no sé: calculo al menos otro día. El estudio completo hasta el informe y tu firma, una o dos semanas, según lo que salga en esas corridas. Necesito si o si conseguir acceso ilimitado a opus porque si no esto no acaba. Ideas, ayudas...
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Lo de la peña especulando con una revista de 10€ qué clase de broma es?
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Buen detalle de la app de chatGPT, xD
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Se nos está yendo de las manos esto de hacer apps…
¿De verdad no sabéis sumar 158 minutos a la hora a la que entráis al cine?
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Joder, es que es tal cual
Creo que hay un overlap muy grande entre los que jugamos juegos de estrategia, automatización y base building y los tokenmaxxers No sé cómo explicarlo pero yo jugando al Starcraft con 7 años se alinea perfectamente con yo tokenmaxxeando con 29
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Stop adding columns to mobile menus
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Ahora que me había vuelto a encariñar con los modelos de OpenAI…
Claude Opus 5.5 takes the top spot on the Artificial Analysis Intelligence Index, along with a 20% price cut and larger cache hit discount Claude Opus 5.5 brings Anthropic to parity with GPT-6 Astra on evaluations like Terminal-Bench 4.0 and AutomationBench-AA, while extending Anthropic’s lead in agentic knowledge work. At max effort it scores 58 on the Artificial Analysis Intelligence Index, the highest score we have measured by several points. Anthropic has cut Opus pricing to $4/$20 per 1M input/output tokens (Opus 5: $5/$25) and cache reads from $0.50 to $0.20. Key takeaways: ➤ Consistent strong performance, with leading scores on six of the ten Intelligence Index evaluations: Humanity's Last Exam 61.4% (previous best 59.1%, Claude Fable 5.1), SciCode 66.9% (63.1%, Fable 5.1), GDPval-AA v2.1, AA-Briefcase v1.1, AA-Omniscience and AutomationBench-AA. On Terminal-Bench 4.0 it scores 59.6%, level with the leader GPT-6 Astra (xhigh) and +11 points over Opus 5. It remains slightly behind on CritPt, AA-LCR, and GDP.pdf ➤ Leads in agentic knowledge work: On AA-Briefcase, our private frontier knowledge work evaluation, it reaches an Elo of 1822. This is +143 over Fable 5.1, ahead on both analytical quality and presentation, and is the first time Anthropic has reached presentation quality surpassing GPT-5.6 Sol. This evaluation tests whether models can produce accurate and well-presented professional outputs using our open source reference agent harness, Stirrup ➤ Level with Opus 5 on cost per task despite 1.6x the output tokens: Opus 5.5 (max) uses ~119k output tokens per Intelligence Index task, against ~73k for Opus 5 (max), ~78k for Fable 5.1 (max) and ~27k for GPT-6 Astra (max) ➤ Four of five effort levels sit on the Intelligence vs Cost per Task frontier: Opus 5.5 max, xhigh, high, and medium all sit on the Pareto frontier, costing less or outperforming other models scoring 50+ (GPT-6 Astra, Claude Fable 5.1, and Claude Opus 5) Other model details: ➤ Context window: 1 million token context with image and text input support, unchanged from Opus 5 ➤ Pricing: $4/$20 per 1M input/output tokens, down 20% from $5/$25 for Opus 5. Cache writes $5 per 1M tokens for the 5 minute TTL, down from $6.25. Cache reads have been further discounted to $0.20 per 1M tokens, down 60% from Opus 5’s $0.50. This is a 95% discount compared to uncached input pricing, up from 90% on previous Opus models ➤ Effort settings: Five effort settings (low, medium, high, xhigh, and max). Intelligence Index evaluations were run at all five with Anthropic's default fallback enabled
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Jev is blowing up right now. I made a list of the best things people are building with the Jev API: 1. jev-ultrafast — browser agent skills.sh/browser-use/jev-ul… 2. fast-jev-compaction — context compression skills.sh/tamaratran/fast-je… 3. json-render — generative UI skills.sh/vercel-labs/json-r… 4. typesafe-mcp — plug into any client skills.sh/itsmostafa/typesaf… 5. jev-mcp — judgment toolkit skills.sh/jkudish/jev-mcp 6. SemDecide — CLI classifier skills.sh/sharziki/semdecide 7. jev-codex-router — model routing skills.sh/0xNatoshi/jev-code… 8. Winnow — context garbage collection skills.sh/GhalebDweikat/winn… 9. jev-review — code review triage skills.sh/devagrawal09/jev-r… 10. Blink — repo navigator skills.sh/ellipsis-dev/blink 11. agent-desktop — desktop automation skills.sh/lahfir/agent-deskt… 12. typesafe-mario — plays Super Mario skills.sh/fhshaik/typesafe-m… 13. jev-drone — drone control skills.sh/RomanSlack/jev-dro… 14. OneVOneJev — browser FPS skills.sh/emrickgarrett/OneV… 15. jev-trader — HFT market making skills.sh/jarrodwatts/jev-tr… 16. Prism — liquidity signal detection skills.sh/irfndi/prism-liqui… 17. neo4jev — knowledge graph traversal skills.sh/jexp/neo4jev 18. jev-curate — training data screening skills.sh/AkashPriyadarshii/… 19. Canny — completion verification skills.sh/qkal/Canny 20. killmyidea — startup idea scoring skills.sh/monteduro/killmyid…
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Si te da algo de FOMO no haber probado Jev todavía, este vídeo de Greg Isenberg con Ryan Vogel es de lo más claro e interesante que he visto hasta ahora. En la demo clasifican 1.700 emails por solo 0,18 $ A priori me parece una alternativa brutal para automatizar procesos clave
Jev is HERE and this is the CLEAREST explanation of what it is and what NEW businesses it unlocks. (and at the end I'll tell you how to get Jev even if you're on the waitlist) WHAT IT IS You know how you open your inbox and have to decide what's junk, what needs a reply, and what can wait? Jev does that part. It looks at each thing and says "this is junk, I'm 94% sure." It doesn't write anything back to you. It just sorts. 1,700 emails for 18 cents, instantly. That sounds kinda trivial but the important part WHAT IT UNLOCKS My explanation of Jev sounds small until you realize HOW MANY jobs are exactly this. Someone reading a stack of applications. Someone deciding which support ticket goes to which team. Someone looking at inbound and deciding who's worth calling back. A few ideas on what it unlocks: 1/ Instant quotes that are actually instant. Every quote form on the internet says "we'll email you by end of day." Build the version that answers in under a second, for roofers, movers, insurance, legal intake. 2/ Lead scoring as a product. Every agency and service business has a contact form full of junk. Score every submission and send the real ones straight to the owner's phone. 3/ Support triage for companies with no support team. The ticket gets classified and routed before anyone opens it. 4/ Clipping tools. Pass in a transcript, get the best moments scored in three seconds. Every clipping product just got a cheaper engine. 5/ Application piles. Grants, permits, insurance claims, job apps, loan docs. Someone reads that stack one item at a time today. 6/ Marketplace matching. Someone types what they need and gets matched to the right local business instantly instead of waiting for callbacks. 7/ Browser agents that actually move FAST. That makes bulk browser work practical: pulling quotes from five carriers, filing the same form for 200 clients, checking supplier inventory in real time etc. TLDR; find an expensive queue and put Jev at the front of it. HOW TO GET IT I didn't realize you can skip the waitlist because Jev is live on the Vercel AI Gateway right now, so you can start calling it today. In this episode, we share how. Episode now live on @startupideaspod (thanks to @ryanvogel for coming on and spilling the sauce today) Watch: youtube.com/watch?v=4mTLpuQp… Jev is a big deal because this is a whole new way to do AI Really cool Happy Jev day.
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Jev gratis hasta el 25 y batiendo récords de adopción en Vercel AI Gateway. Tengo curiosidad por probarlo, aunque habrá que ver cuántos siguen usándolo cuando toque pagar
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Un paso más hacia la estandarización de las instrucciones para agentes de IA. Que Claude Code adopte AGENTS.md facilita compartir contexto entre herramientas sin duplicar configuraciones. Menos fricción, más interoperabilidad
We're adding support for AGENTS.md to Claude Code. Starting today in version 2.1.277, if there is no CLAUDE.md in a folder, Claude will check for and use AGENTS.md. You can toggle this behavior in /config.
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Me pasé este juego con 9 años en inglés sin saber a dónde ir dropeandolo 7 veces y volviendo unas 8 hasta que lo termine. La gente ya no analiza, no piensa y definitivamente no se divierte
The Original game did a HORRIBLE job of telling you where to go. This is an absolutely necessary feaure.
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NO QUIERO ESCUCHAR NI UN COMENTARIO MÁS DE QUE HACÉIS REWRITE DEL PROYECTO EN JAVA O RUST POR PROBLEMAS DE RENDIMIENTO. ME ENTENDÉIS??? OS RAJO EN DIAGONAL
Habitat is OpenAI's online storage platform that powers everything from ChatGPT to Codex. It has grown over 10x year over year. Before the Rust rewrite, its Python service handled more than 20 million requests per second at peak.
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Repite conmigo: no se compra nunca la primera versión de un dispositivo de Apple. No se compra nunca la primera versión de un dispositivo de Apple. No se compra nunca la primera versión de un dispositivo de Apple. No se compra nunca la primera versión de un dispositivo de Apple.
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