Luego es gracioso que te ponen una gráfica donde se muestra claramente cómo Opus 4.7 logra mejores resultados para un mismo uso de tokens, para luego tener que indicar en el pie de gráfica que esto no es indicativo del uso de tokens del modelo
AI
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Concentrated Fund Strategy: 36 Companies Maximum for 1x Returns
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this makes sense all else held equal, concentrated fund = less risky bets we've found that 36 companies is the max number of companies we can fit into a fund while claiming that a single company at 1B exit can return 1x net this is structured to match our our strategy of
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New Claude Opus 4.7 Model Released
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Le nouveau Opus 4.7 est release ! Plus qu'à tester ! N'hésitez pas à mettre vos retours sous ce tweet et vos experimentations 🙂 !
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Opus 4.7 tokenizer increases quota consumption concerns
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Eyes wide open with what they warn about here, because Opus 4.7 comes with a new tokenizer that uses up more tokens, and on top of that, at the higher reasoning levels it can end up using even more. Just looking at it burns through your quota.
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AI Improvements Enable Better Visual Input Processing and Artifact Generation
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Aparte indican mejoras en el apartado visual, permitiendo ver mejor imágenes de entrada y pudiendo generar artefactos visuales (diapositivas, interfaces, etc) de mayor calidad.
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Curated Lists of Future Builders and Innovators
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Yes. And most are here: https://
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… If I see someone building the future I put them on these lists. -
Claude Opus 4.7 Advances Agentic Programming and General Reasoning
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¡NUEVO CLAUDE OPUS 4.7! Y oye, que no nos ciegue el salto de hace unas semanas con Mythos, porque aquí también vemos un salto en capacidades interesante, principalmente en programación agéntica y razonamiento general
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Claude Opus 4.7 vs Mythos: AI frontier advancement comparison
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As you use Claude Opus 4.7, keep in mind that however good it is, Mythos is still substantially better. The frontier is getting insanely powerful.
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Claude Opus 4.7 Features Async Work Image Handling UI Improvements
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Some of my favorite things in Opus 4.7:
– Very good at async work and following instructions
– Effort levels are far more predictable for token control (+ new xhigh level)
– No more downscaling of high-res images
– Noticeably more taste in UIs, slides, docs
