When Shohei Ohtani was a high school freshman, he created a detailed "dream sheet" with one central goal: to be the #1 draft pick for 8 NPB (Nippon Professional Baseball) teams.
It was a 64-cell roadmap based on a framework called the Harada Method.
Here's exactly what Shohei did 👇
1. First, some history.... The Harada Method was created by Takashi Harada, a Japanese junior high track coach. He took a team ranked last out of 380 schools and, using his system, turned them into the #1 team in the region within 3 years. They held that top spot for the next 6 years.
2. You start by placing your main goal in the center of an 8x8 grid. For Ohtani, this was "be the #1 draft pick."
3. Next, you identify 8 critical supporting pillars needed to achieve that goal. These surround the main goal.
Ohtani's 8 pillars were:
• Body
• Control
• Sharpness
• Speed
• Pitch Variance
• Personality
• Karma/Luck
• Mental Toughness
4. You then break down each of those 8 pillars into 8 smaller, actionable tasks or daily routines.
This fills out the entire 64-cell grid, turning a massive dream into a concrete, daily action plan.
To improve his karma, he listed tangible actions like:
• Showing Respect to Umpires
• Picking up trash
• Being positive
• Being someone people want to support
5. The method goes far deeper than just technical skills. It forces you to analyze your weaknesses and build confidence. It also has a highlight on service to others, emphasizing that humility and contributing to your community are essential for personal success.
6. The key to the system is daily execution and accountability. Once the 64-cell chart is complete, you turn the tasks and habits into a daily diary and a "Routine Check Sheet." It’s designed to transform abstract intentions into a measurable, daily practice.
JUST IN: 🇨🇳 AI-powered robot "Erbai" kidnaps 12 larger robots from Shanghai, China showroom.
Erbai held human-like conversations with the larger robots.
Duro golpe para @OpenAI , mientras ellos atrasan el modo avanzado de voz @kyutai_labs acaba de lanzar Moshi, un modelo básico multimodal nativo en tiempo real que puede escuchar y hablar, crear sonidos, imitar emociones,... similar a lo que OpenAI demostró con GPT-4o en mayo. 👀
Moshi:
🗣️ Habla y escucha en tiempo real con una latencia bajísima (160-240 ms)
🎭 Entiende y expresa emociones (¡hasta puede imitar acentos!)
💡 'Piensa' mientras habla, generando pensamientos en texto
🎧 Puede escuchar y hablar a la vez (¡como un humano de verdad!)
🧠 Usa un LLM de 7B parámetros llamado Helium
💻 Funciona hasta en un portátil normalito
Lo mejor de todo:
🌐 ¡Será de código abierto! Modelos, paper y código a la vista de todos
Desarrollado en 6 meses por solo 8 investigadores, Moshi promete plantar cara al mismísimo GPT-4 de OpenAI 🥊