Unlocking AI in Web3 | AI Content | Love to play with Grok Imagine | Outer space is a vast | Cosmic Discoveries | The Moon | The Mars | DYOR always | "INDIAN"
Joined December 2024
- Tweets 19,750
- Following 240
- Followers 898
- Likes 32,307
4,677 Photos and videos
Pinned Tweet
Mar 11
Grok Imagine 1.0 is straight-up insane.
Dropped an image prompt and it birthed a hyper-real fever dream I couldn't unsee details so sharp it glitches reality.
Tech like this changes everything.
4
2
21
2,306
Deepfakes are getting faster, cheaper, and eerier. Experts warn our visual trust could break within years not because tech "improves," but because scale and subtlety outrun our instincts.
10
800V is coming for data centers and it’s not optional. Megawatt AI racks force a hardware reset.
$NVDA $GOOGL
$NVDA Vera Rubin & $GOOGL next-gen AI data centers are pulling 800V DC adoption ahead of schedule with shipments expected in Q3 2026.
The shift to 800V becomes a forced upgrade as AI racks move toward megawatt-scale power increasing power-semiconductor content in every rack.
169
FPV drones turn into needles in the sky under a second to cross a dozen meters.
Hard to stop.
Why that matters.
1
40
Love Web3 World retweeted
I’m as bullish as ever on Bitcoin, and still long (as always).
It’s never as good or bad as it seems.
407
473
5,116
525,898
Love Web3 World retweeted
NVIDIA MotionBricks brings humanoid robots closer to natural, fluid movement
The system combines a modular latent generative model with Smart Primitives, packing more than 350,000 motion skills into a single backbone. It runs in real time at up to 15,000 FPS with just 2ms latency.
Navigation, object interaction, sitting, jumping, obstacle crossing, and even different movement styles can be composed zero-shot, like reusable motion modules.
It is already being used for whole-body control on the Unitree G1 and serves as the motion layer for NVIDIA GR00T Whole-Body Control.
What makes this interesting is the move from training individual behaviors toward building a shared library of motion capabilities.
If that approach scales, robot movement could become more modular, transferable, and easier to deploy across different tasks and environments.
5
21
136
7,068
As Andrew replies below, we appreciate any critical feedback in pursuit of product perfection for Grok Build!
Jun 14
Trying "Grok Build" on a Digital Ocean droplet.
So freakin' useful !! It not only generates code, also handles updates of packages, server settings, firewall settings, I mean, EVERYTHING!
I am in love with this thing!
2,169
4,040
21,591
4,953,282
Love Web3 World retweeted
Jun 9
Stanford Meta just dropped the paper that flips everything about AI agents.
It's called "Code as Agent Harness."
Right now, we treat large language models as text generators. When they need to solve a complex problem, they rely on a "chain of thought."
But natural language is slippery. It's vague. It loses context. When an agent hallucinates in English, it just keeps talking.
So they introduced a framework that changes the entire architecture of autonomy: "Code as Agent Harness."
They stopped asking the AI to reason in words, and forced it to reason in code.
Code isn't just the final output anymore. It is the memory. It is the environment. It is the boundary.
Instead of writing a paragraph about how to solve a problem, the agent writes a script, executes it, and reads the output.
Tests become its senses. Execution logs become its memory. Sandboxes become its physics.
If an agent makes a mistake in English, it apologizes and hallucinates again.
If an agent makes a mistake in code, the compiler throws an error. The trace tells it exactly what broke. The system forces it to fix it.
This is where prompt engineering dies, and systems engineering takes over.
The paper proves that reliability doesn't come from a smarter base model. It comes from the "harness" wrapped around it:
- The model proposes.
- The harness executes.
- The environment returns feedback.
- The verifier checks.
61
191
1,037
74,866
Love Web3 World retweeted
Jun 9
Open source AGI will save the world
65
10
138
6,871
Jun 9
China just pledged $295B for AI infrastructure over 5 years.
That’s not hype it’s industrial-scale money.
1
8
Jun 9
Mythos just found hundreds of years-old bugs humans missed and markets noticed.
15
Jun 9
Robotic world is moving so fast!
Jun 9
Huawei-backed GigaAI SeeLight humanoid robots are already up and running in the Future Apartment complex in Wuhan’s Optics Valley.
It’s handling basic household chores like heating food in the microwave, operating the washing machine, and folding clothes…
The company says it will deploy 100 units to real user homes for trials in Q3.
This is classic “imperfect product deployment”--putting the robots into actual family environments to gather real-world data and train their models (GigaBrain GigaWorld), letting them evolve through everyday life.
3
