kevingakii

[硅谷王川 Chuan @Svwang1]

28年之后，再次参加 Kenny G 的音乐会，才意识到他是刚过 70岁的人了。但远看，他身材精瘦，体姿端正，行动流畅，可以感觉到那种令人羡慕的对于身体各个部位的精准控制又不露痕迹，豪不费力的状态。如果从背后看，和一个 20多岁的年轻人并没有区别。

原本以为他大概是长期练习瑜伽才有这样的好状态。问了 ai 说主要还是长期台上表演的训练，打高尔夫球，还有对饮食的高度节制。另外长期吹萨克斯风可以培养对于横隔膜，呼吸和核心肌群的强大精准的控制能力，远超普通人的想象。

[硅谷王川 Chuan @Svwang1]

很多投机者事后幻想自己可以完美吃到某某年到某某年的泡沫期的暴涨，然后精确踩点全身而退，这完全不可能。

盈亏同源。如果参与投机的游戏，大赚后就一定欲罢不能，最后一定回到原点，甚至亏更多。

一旦投入，就要用常识和第一性原理，反复确认投资标的物可以长期捕捉和承载价值，这样不必挖空心思去择时，这样才能长期躺平，每天睡到自然醒。

[kevingakii @fffflying]

@Blind___Gamer 喝中风咋办

[硅谷王川 Chuan @Svwang1]

很多人对于“刻意提高自己下限”缺乏深刻认知。任何社区的安全和繁荣，并不取决于社区人群的平均素质，而最终都是由社区底部风险最大的群体造成的。好市多 (costco) 依靠收年费，简单粗暴的把风险大购买力低的顾客过滤掉，大大降低了货物被偷窃的几率，这样可以把节省下来的福利传送给好客户。

远离下限低的人，也要远离那些对下限低的人不设防的人，因为你不知道他什么时候就会有意无意的把风险传导给你。

[kevingakii @fffflying]

@Blind___Gamer 河南农村，高杠杆买房

[硅谷王川 Chuan @Svwang1]

绝大多数人并不是缺乏力量，而是缺乏对于力量运用机制的理解力，缺乏突破自身觉知局限性的主动性。

可以把自己想象成电影 interstellar 里的男主角，在片尾他进入到一个所谓超立方体 （tesseract), 可以观察到过去的自己和家人的生活，他拼命的捶打着超立方体的墙壁，试图和过去的自己沟通，改变当时所做的一个错误的决策。

觉醒的挣扎，就好比想象未来的自己不断在超立方体里面捶打高呼，试图和现在的自己沟通，改变某个 ‘’唾手可得，但失之毫厘，差之千里‘’的错误决策。

每周应当做几次这种模拟的想象。想象现在该如何唤醒十年前的自己，具体是哪几个点卡住了，因此当时没有醒得更早。然后再想象十年后的自己唤醒现在的自己，具体有哪些事，现在可以做，让自己更早的觉醒，实现突破。

[kevingakii @fffflying]

@Blind___Gamer 高科技

[kevingakii @fffflying]

@dayangelcp 金池长老

[硅谷王川 Chuan @Svwang1]

成长过程中，人难免会犯一些低级错误，事后复盘会觉得极为愚蠢尴尬，产生一种强烈的羞耻感。

羞耻感本质是一种不假思索的本能的恐惧，恐惧自己被所属群体的其他人所唾弃而切断联系，变得孤立。但如果不直面羞耻感，人在心理上就会被拖累，无法快速成长。

所以和正确的群体连接，非常重要。同样一件事，在有的群体里会催生羞耻感；在别的群体里，则会视为成长的必经之路，不以为耻，反以为荣。

而你成长到一定高度后，会发现曾经让你产生羞耻感的往事，现在复盘则是坦然面对，哈哈一笑了之。 如果还不能一笑了之，说明成长的高度还不够。

[硅谷王川 Chuan @Svwang1]

海啸才是真正的阶梯。涨潮时让人暴富，退潮时让人破产。

理解海啸的关键，在于关注和观测深海的地震，而不是岸边无关紧要的波浪。

[kevingakii @fffflying]

@JamesLt196801 @moon66667766 对.我刚才也参加会议了

[硅谷王川 Chuan @Svwang1]

觉醒的挣扎过程中，每一个进步都会遇到阻力，每一次任性和松懈都会产生“失之毫厘，差之千里”的后果。因此一定要有持续的书面记录，把转瞬即逝的一点点微小进步和突破保存下来，成为下一次微小进步的基础。

[硅谷王川 Chuan @Svwang1]

觉醒是个挣扎的过程，需要三个要素：

一，独处
二，对于自己感到困惑的问题，反复查新资料。
三，在新资料的基础上，反复书面检讨，复盘。

有的时候，能让自己跳出坑里的机会实际唾手可得，但是因为：

1. 和一些狐朋狗友厮混，在喧嚣的裹挟中对全新事物的感知变得迟钝麻木，丧失了向不同方向摸索的能力。

2. 因为懒惰和惯性，没有去查询那些其实离自己很近，但偏离自己认知习惯的重要信息。

3. 纵容自己思维的惯性，没有冷静下来，通过一步步书面检讨，突破自己思维模型的舒适区，发现不同维度的高速增长的一片新天地。

[Bryan Johnson @bryan_johnson]

I keep hearing: “Easy for you to preach, Bryan. You’re already rich. Sacrificing health is the price of success.”

That's incorrect. Had I protected my body and brain, I’d be wealthier and more successful today. I would’ve also skipped a decade of tortuous depression.

I'm trying to help you avoid the same mistake. Culture is lying to you. You do not need to martyr yourself to be successful. You will be more successful if you prioritize your health.

Health is your compound-interest engine behind every other asset:

+ better decisions: sleep-restricted CEOs make 29% more risky errors in lab simulations.
▸ greater output: cardiorespiratory-fit workers log 2 extra productive hours per week.
▸ emotional stability: consistent exercise cuts depressive symptoms by ~25 % across 97 RCTs.

You only get one body and one brain. Run it down and you have nothing to work with. Burn it out and you're out of the game.

Health is your greatest asset. It's what allows you to work, reason, problem solve and persist. It enables a stable mood, clearheadedness, and good judgment.

Poor health leads to emotional turbulence, bad decision making, less energy, addictions, and sadness.

Health is forgotten until it's the only thing that matters.

You do not need to do what I do. I am trying to make a point of being the first Don't Die human prototype. I'm learning everything I can about ideal health and passing the learnings onto you.

You can do a fraction of what I do and get the majority of the benefits.

Here they are:
1. Make sleep your #1 life priority. Build your life around it.
2. Lower your resting heart rate before bed. You'll learn that which increases your RHR before bed is bad for you and that which lowers your RHR before bed is good for you. I've written a lot about the specifics you can do. Look it up.
3. Exercise every single day. Even if a 20-30 minute walk. Make it a habit. Never skip a day.
4. Build life systems and habits. Don't let your mind decide. You'll nearly always make the wrong decision in the moment.
5. Eat good things and avoid addictive things.
6. Prioritize relationships.

You can be ambitions AF and also be healthy. Culture is wrong in telling you that success is only achievable by martyring oneself. That's foolish.

Now do the right thing and go exercise and get to bed on time tonight. As you start feeling better, your ambitions will grow with your health status.

Trial it and you'll see what I'm talking about.

[Bryan Johnson @bryan_johnson]

This is cool. The first real-world demonstration of a quantum-enhanced AI workflow producing experimentally validated drug leads for a notoriously "undruggable" cancer protein.

Offering a template for integrating quantum computing as a molecule generator in a hybrid model with classical AI models for groundbreaking drug discovery.

What they did: a research team from @InSilicoMedsand and @UofT leveraged a potent hybrid quantum-classical AI system to design novel small molecules capable of inhibiting mutant KRAS, a notoriously "undruggable" cancer protein.

KRAS is one of the most frequently mutated oncogenes across human cancers, particularly prevalent in lung, colorectal, and pancreatic tumors. These mutations hyperactivate the KRAS protein, leading to uncontrolled cell growth. For decades, KRAS was deemed "undruggable" due to its smooth surface and lack of deep binding pockets, making it incredibly challenging for small molecules to bind effectively and inhibit its function.

Given that KRAS mutations are responsible for approximately 25% of human cancers, often associated with poor prognoses and limited efficacy of existing drugs, it presents an ideal target for AI-driven drug discovery.

Congratulations to @biogerontology for this breakthrough.

Here are more details for those of you curious about AI drug discovery

1/ Quantum-Classical AI setup and workflow. Data and training.

A custom training set of 1.1 million molecules, including known KRAS binders, was compiled and used to train both the classical and quantum systems using Virtual Flow docking screening.

+ Generation of molecules: Hybrid Generative model

Quantum AI: Generator, Classical AI: discriminator.

A Quantum Circuit Born Machine (QCBM) ran on a quantum chip to generate new molecular structures.

A classical AI system (Insilico’s Chemistry42) evaluated those molecules, filtering for likely KRAS interaction

+ Filtering and identifying best drug candidates:

Using Chemistry42 a million QCBM-generated molecules were sampled, filtered according to their drug-likeness including absorption metabolism and toxicity, and then ranked based on their docking scores.

+ Chemical synthesis and real world validation
15 candidates were chosen, chemically synthesized, and tested in the lab .

2/ The main outcome
Two of the 15 molecules successfully inhibited multiple KRAS variants in live cells. Real experimental hits based on quantum AI generation (QCBM) coupled with classical AI (Chemistry42) screening and validation.

3/ Advantage of using Quantum Computing for drug discovery

Quantum systems are theoretically better at sampling from complex, high-dimensional distributions, which could help find unusual and novel molecules that classical systems might miss. But today, this is still experimental. No clear advantage has been proven yet.

4/ This study used a “real but limited” quantum computer

The study used real, hardware-based quantum processor (IBM Quantum’s superconducting qubits), not just a quantum simulator.

However, the scale and depth of the quantum computation were limited, and the scope of application was limited to the molecule generation step, while all the evaluation and optimization steps were performed by Chemistry42, a classical generative AI model.

5/ Significance

+ First experimental validation of quantum-AI drug generation

This is the first study to use a quantum generative model (QCBM) integrated with classical AI to design small molecules that were synthesized and shown to inhibit a real, disease-relevant target (KRAS) in vitro.

+ Demonstrates hybrid quantum–classical synergy

The study showcases a practical workflow, where quantum computing contributes to early-stage ideation, while classical AI tools like Chemistry42 handle evaluation and optimization.

+ Progress against the “undruggable” KRAS target
KRAS has long been considered one of the most challenging oncogenic proteins to target. Generating novel KRAS inhibitors using this approach highlights the potential of AI–quantum tools to tackle previously intractable targets.

+ Opens the door to expanding the chemical space
Quantum models can sample from non-intuitive, high-dimensional chemical spaces, potentially leading to new classes of molecules that classical methods might overlook.

+ Lays groundwork for scalable quantum drug discovery
While quantum advantage has not yet been demonstrated, this study is a foundational step showing that quantum hardware can be functionally integrated into real-world discovery pipelines.

6/ Limitations

+ Limited scale and maturity of quantum hardware
The quantum component (QCBM) was run on noisy, small-scale quantum hardware, limiting circuit depth and complexity. The study does not demonstrate quantum advantage over classical generative methods.

+ Narrow experimental validation
Only 15 molecules were synthesized, and just 2 showed modest in vitro activity against KRAS. There was no in vivo testing, pharmacokinetics, or toxicity data — so therapeutic potential remains speculative.

+ Single-target, proof-of-concept scope
The approach was tested on only one protein family (KRAS). It’s unclear how well this quantum–classical pipeline generalizes to other targets.

[Bryan Johnson @bryan_johnson]

love my monday morning routine:

+ light in eyes (10000 lux)
+ hair serums/red light
+ blueprint pre-workout stack
+ 30 min strength/balance/flexibility
+ 30 min cardio
+ 20 min 200F sauna
+ 6 min whole body red/nir
+ shockwave on 4 joints (4500)
+ HBOT 90 min
+ excited

[kevingakii @fffflying]

@Blind___Gamer 常规操作

[kevingakii @fffflying]

@StoneIsHere1 火热进行中

[kevingakii @fffflying]

@StoneIsHere1 上垒了吗

[kevingakii @fffflying]

@Balloon_Stocks 著名骗子