1/ Today @Cruise announced over $2 billion of new funding from Microsoft, GM, Honda, and some great institutional investors.

The vanity metric: $30 billion post-money valuation
The real metric: 0 million customers

Wait… what?

2/ Food. Energy. Real Estate. Transportation. The handful of true multi-trillion dollar markets and the building blocks of human life. Substantial change here requires - at minimum - the proverbial “10x better” product. That is a hard thing to build.
3/ Cars are driven by humans. Humans improved safety by ~2x in ~50x years. We suck. Robots are likely to improve this by 100x or more in 3-5 years. That is a big deal. Car accidents are the #1 killer of teenagers in the US, a very uncomfortable fact.
4/ But safety ain’t enough (sadly). Self-driving cars also give you *time* back, one of the most precious resources. They’ll also cost less than using rideshare, which is still priced as a luxury. And soon much less than owning a car. Ours also feel like riding in a spaceship.
5/ AVs will be a major lifestyle upgrade for billions of people, and one that requires almost zero effort to unlock.
6/ Tech to do this is hard. It’s not just AI, but realtime, safety-critical AI. There's also manufacturing, industrializing new tech, and rollout of fleets. Few companies can acquire or already possess the critical mass of talent, capital, tech, and expertise to pull this off.
7/ Even fewer co’s will achieve escape velocity; most will end up being worth nothing. There will be little incentive to use any product that’s not one of the best.
8/ A handful of front-runner AV companies that look most likely to win are attracting substantially all of the best human capital and a huge chunk of the financial capital.
9/ That is how a company without millions of customers can be valued at $30 billion. We've made some incredible progress towards this vision, but there is much left to do. Back to work!

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Master Thread of all my threads!

Hello!! 👋

• I have curated some of the best tweets from the best traders we know of.

• Making one master thread and will keep posting all my threads under this.

• Go through this for super learning/value totally free of cost! 😃

1. 7 FREE OPTION TRADING COURSES FOR


2. THE ABSOLUTE BEST 15 SCANNERS EXPERTS ARE USING

Got these scanners from the following accounts:

1. @Pathik_Trader
2. @sanjufunda
3. @sanstocktrader
4. @SouravSenguptaI
5. @Rishikesh_ADX


3. 12 TRADING SETUPS which experts are using.

These setups I found from the following 4 accounts:

1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4.


4. Curated tweets on HOW TO SELL STRADDLES.

Everything covered in this thread.
1. Management
2. How to initiate
3. When to exit straddles
4. Examples
5. Videos on
How can we use language supervision to learn better visual representations for robotics?

Introducing Voltron: Language-Driven Representation Learning for Robotics!

Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z

🧵👇(1 / 12)


Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.

Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)

The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (
https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).

The secret is *balance* (3/12)

Starting with a masked autoencoder over frames from these video clips, make a choice:

1) Condition on language and improve our ability to reconstruct the scene.

2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)

By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.

Why is the ability to shape this balance important? (5/12)

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I’m torn on how to approach the idea of luck. I’m the first to admit that I am one of the luckiest people on the planet. To be born into a prosperous American family in 1960 with smart parents is to start life on third base. The odds against my very existence are astronomical.


I’ve always felt that the luckiest people I know had a talent for recognizing circumstances, not of their own making, that were conducive to a favorable outcome and their ability to quickly take advantage of them.

In other words, dumb luck was just that, it required no awareness on the person’s part, whereas “smart” luck involved awareness followed by action before the circumstances changed.

So, was I “lucky” to be born when I was—nothing I had any control over—and that I came of age just as huge databases and computers were advancing to the point where I could use those tools to write “What Works on Wall Street?” Absolutely.

Was I lucky to start my stock market investments near the peak of interest rates which allowed me to spend the majority of my adult life in a falling rate environment? Yup.
TradingView isn't just charts

It's much more powerful than you think

9 things TradingView can do, you'll wish you knew yesterday: 🧵

Collaborated with @niki_poojary

1/ Free Multi Timeframe Analysis

Step 1. Download Vivaldi Browser

Step 2. Login to trading view

Step 3. Open bank nifty chart in 4 separate windows

Step 4. Click on the first tab and shift + click by mouse on the last tab.

Step 5. Select "Tile all 4 tabs"


What happens is you get 4 charts joint on one screen.

Refer to the attached picture.

The best part about this is this is absolutely free to do.

Also, do note:

I do not have the paid version of trading view.


2/ Free Multiple Watchlists

Go through this informative thread where @sarosijghosh teaches you how to create multiple free watchlists in the free


3/ Free Segregation into different headers/sectors

You can create multiple sections sector-wise for free.

1. Long tap on any index/stock and click on "Add section above."
2. Secgregate the stocks/indices based on where they belong.

Kinda like how I did in the picture below.