Cryptofarian

Microsoft (MSFT) & Nvidia (NVDA) for ai

[Cryptofarian @Junoit123]

@coinbureau Own NVDA, it powers everything ai, why be a bag holder constantly losing money on hope.

[Cryptofarian @Junoit123]

@The_AI_Investor Not owning NVDA moving forward with everything ai is insanity.

[Cryptofarian @Junoit123]

@StockSavvyShay Not owing NVDA long-term is insane

[Cryptofarian @Junoit123]

Nvidia (NVDA)
forward P/E 28
PEG 1.43 - 1.7
intrinsic value $564

[Cryptofarian @Junoit123]

@The_AI_Investor NVDA will continue to outperform the other 6 of the Magnificent for the next 3 - 5 yrs; maybe even beyond. I'm holding NVDA for a minimum of 6 yrs for retirement. I know the return on the money will be insane.

[Cryptofarian @Junoit123]

https://t.co/yCpA1f9Blw

[The Humanoid Hub @TheHumanoidHub]

At #CES2024, Nvidia presented Isaac, a complete AI+Robotics platform:
⦿ Generative AI: create simulations & synthetic data
⦿ Test/train models & deploy to real robots
⦿ Interact with robots in natural language
Partners include @TheSanctuaryAI @BostonDynamics @UnitreeRobotics

[Cryptofarian @Junoit123]

https://t.co/cneUycZisy

[Jim Fan @DrJimFan]

Can GPT-4 teach a robot hand to do pen spinning tricks better than you do?

I'm excited to announce Eureka, an open-ended agent that designs reward functions for robot dexterity at super-human level. It’s like Voyager in the space of a physics simulator API!

Eureka bridges the gap between high-level reasoning (coding) and low-level motor control. It is a “hybrid-gradient architecture”: a black box, inference-only LLM instructs a white box, learnable neural network. The outer loop runs GPT-4 to refine the reward function (gradient-free), while the inner loop runs reinforcement learning to train a robot controller (gradient-based).

We are able to scale up Eureka thanks to IsaacGym, a GPU-accelerated physics simulator that speeds up reality by 1000x. On a benchmark suite of 29 tasks across 10 robots, Eureka rewards outperform expert human-written ones on 83% of the tasks by 52% improvement margin on average. We are surprised that Eureka is able to learn pen spinning tricks, which are very difficult even for CGI artists to animate frame by frame!

Eureka also enables a new form of in-context RLHF, which is able to incorporate a human operator’s feedback in natural language to steer and align the reward functions. It can serve as a powerful co-pilot for robot engineers to design sophisticated motor behaviors.

As usual, we open-source everything! Welcome you all to check out our video gallery and try the codebase today: https://t.co/BHiNmqPoWE
Paper: https://t.co/bdh9TYQtHm
Code: https://t.co/lqKiaM2yYJ

Deep dive with me: 🧵

[Cryptofarian @Junoit123]

@dampedspring @omshanti08 Buckwheat IS my financial advisor.

[Cryptofarian @Junoit123]

@dampedspring No. Santa is a tech bull.

[Cryptofarian @Junoit123]

@dampedspring If we put too many restrictions on ai in the U.S., China and other countries that are advancing at full throttle will eat us alive.

[Cryptofarian @Junoit123]

@dampedspring @DanielSimonyi MSFT is the best company in the world.

[Cryptofarian @Junoit123]

@David_Tracey Possible 4458 - 4425 is nothing to be afraid of boys and girls longing Tech at this point. Don't sell your positions. All dips will be bought up quickly. SPX psych out! I'm just having fun here!