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👩‍🦳🌞 Good Morning! I love October and its bountiful fresh fruits and vegetables, truly blessed...😋🍎🫝💜 #Autumn# #FreshFruits# #Apples# #Plums# #GoodMorning# #Blessed# #Thankful#

Genetic modification of crops allows for more precision than traditional selective breeding processes. GMOs saved Hawaii’s papaya crops from being wiped out by a virus. It created corn that is resistant to pests. It’s even given us apples that don’t brown.

学习英语那么多年，看到这个视频才是醍醐灌顶。 所以说英语语法还是要外国人来讲。 视频里的黑人老师来自于尼日利亚，尼日利亚是英国的前殖民地，英语是尼日利亚的通用官方语言。所以说，尼日利亚人掌握的英语，语法特别标准。 Don't didn't，看这个视频之前，感觉国内那些英语老师都在瞎教。 这个黑人外教一秒钟说的清清楚楚。 再扩展一下，做个小总结吧，这是豆包总结的，总结的还是非常好的。 1.一般现在时 - 中文：平时经常做 - 英文：I eat apples. - 否定：I don't eat apples. → don't = 不 2.一般过去时 - 中文：以前做过 - 英文：I ate apples. - 否定：I didn't eat apples. → didn't = 没 3.一般将来时 - 中文：以后要做 - 英文：I will eat apples. - 否定：I won't eat apples. → won't = 不会 / 不 4.现在进行时 - 中文：现在正在做 - 英文：I am eating apples. - 否定：I am not eating apples. → not = 不（正在） 5.过去进行时 - 中文：那时正在做 - 英文：I was eating apples. - 否定：I was not eating apples. → was not = 当时没在 6.现在完成时 - 中文：到现在已经做完 - 英文：I have eaten apples. - 否定：I haven't eaten apples. → haven't = 还没 7.过去完成时 - 中文：在过去某件事前就做完了 - 英文：I had eaten apples. - 否定：I had not eaten apples. → had not = 那之前还没 8.过去将来时 - 中文：过去说“我将要做” - 英文：I would eat apples. - 否定：I would not eat apples. → would not = 当时不会 一句话总结： - 现在说不 → don't - 过去说没 → didn't - 到现在还没 → haven't 其他就跟着 am not / was not / had not / won't / wouldn't 走就行。 大家记住中文的意思，就不要记什么过去将来之类的，越记越迷糊。 #一分钟精选视频扶持计划# #

Just some public market read through from Chinese private VC markets: Institutions are pouring funds into physical AI and world models. 1. Large models / LLMs: ~$23.56B 2. AI infrastructure + technical layer: ~$15.74B 3. Embodied intelligence / physical AI: ~$13.36B 4. AIGC applications: ~$8.79B 5. Autonomous driving + other Top-20 cluster: ~$3.82B, but not apples-to-apples with the above. Some notes: - "Early-stage pure foundation-model funding is basically closed". Looks like more funding is just being put into existing leaders and going into World Model companies. My guess is that we'll likely see the same in the US with Anthorpic/OpenAI consolidation. - "World models have become the biggest consensus in early-stage investment." I said months ago 4D AI/World Models would be the most interesting moving forward, and called out $AEVA as potential exposure. But there's not exactly any pure play exposure. But probably next we'll wait for the next IPOs here in this sector maybe H1 next year. - AIGC application sector is the most mature for AI technology commercialization "Artificial Intelligence Generated Content commercialization is mature but no clear winner yet". Makes sense. in the US there's stuff like Grok Imagine, Google Nano Banana, etc. no clear winner too. especially for video. _ TLDR: Continued funding into AI infrastructure/semiconductor supply chains. Huge capital rotation influx into physical AI / embodied brain / humanoids + world models from capital inflow. Consolidation around leading frontier model companies. Personally just validated what I've been focusing on with Agility Robotics and physical AI players (eg. leaderdrive, harmonic, etc) in public markets... As new potential opportunities in terms of capital rotation. But sadly no world model pure play exposure yet.