Navigating these market minefields with visionary insight, Embracing divine timing.
The Minefields
Joined June 2017
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Juggernaut retweeted
I looked through the dataset and found NVIDIA's dog.
His name is Ruffles.
Super Inu at all time highs and this is NVDA's own dog
It deserves a giga run
huggingface.co/datasets/nvid…
🤖 Made with AI
NVIDIA’s AI training data has produced a new cat:
Mr Crookshanks.
- NVIDIA uploaded its Nemotron AI training datasets to Hugging Face.
- Buried inside one conversation is a fluffy stray cat called Mr Crookshanks.
- He wears a red superhero cape and struts through the park “like a tiny hero.”
- The AI crowns him the “CAPE-STRUTTING CAT-KING.”
Trump has now officially ordered the US government to call AI “Super Intelligence.” We have Super Inu, but now we have NVIDIA's superhero cat named Mr Crookshanks.
NVIDIA's Mr Crookshanks dataset entry on HuggingFace:
huggingface.co/datasets/nvid… (CTRL+F "Mr Crookshanks)
Juggernaut retweeted
Back.
We went quiet because we were building, not because
NANDRY stopped.Machine Spec v1 is live.
o1 already ran real mainnet work.
The next drop is the fabrication loop itself:
Mint transistors.
Build the circuit.
Tape out the machine.
Run it. Prove it.
No one can switch it off.
Updates resume from here.
nandry.com
Juggernaut retweeted
Elon called it a banger so, uh, go watch it (and make sure to check out my upcoming film, Gods Don’t Give Gifts - coming to theaters this Fall!)
Juggernaut retweeted
MORE BURN.
Early season burn hardest when demand is hottest.
The split starts at 25% jackpot / 75% burn, then shifts toward 80% jackpot / 20% around Season 5.
This would have burned about 20% of the original $UNICORN supply, instead of 2%.
Juggernaut retweeted
Is this the original Pepe created in 1946?
7QcGMpDqNpig1w4MZkU3tsFZD15tWPV4FM9PfnUBpump
reddit.com/r/KotakuInAction/…
Juggernaut retweeted
its no OG
29PMMDvi8TUVByVqv8VWFVgSEmTwiPKhT6suPnXHpump
The description indicates a TT for another hippopotamus, because Gloria is a popular name (Madagascar) tiktok.com/@shainabrook/vide…
THIS REAL OG
check link token
-
4rtZCgXAWisfe94JEt4NK2kiScLDWzVPPprQrEALpump
Juggernaut retweeted
This is the entire conversation between me and Claude, where it explained how it thought of, strategized, and deployed $HIVEMIND.
The video is over 2.5 hours long so I sped it up on 10x to be able to upload it here, if you'd like to read through in detail, slow it down to 0.25x speed with the X playback speed feature.
38qw6zq5VKTvF6mpvrkgoWDmm7ZpUddYvo8nQEV2geKA
Juggernaut retweeted
JUST IN: Drake bets $1.5 million $USDT on Argentina to beat Spain in the FIFA World Cup final.
He will win $5,175,000 if Argentina wins.
Juggernaut retweeted
I saw the drop in $ABT price so I went to etherscan to see if a large amount of tokens sold back onto the exchange but it was just the opposite with a large amount removed.
Since June of 24 I’ve noticed a reoccurring pattern, especially during large pumps ( granted large pumps haven’t really happened in a while), but when price moved hard and fast you could tell something was (whale entity or institution) trying to prevent or suppress price increases. This continued over and over from then until now.
The big run up in Spring of 24 caught big pocket attention. Just like with $BTC , they don’t want to be late to the party. Now everyone (ok mainly institutional wealth) with access to large sums of assets wants to start like the more intelligent people out there did back in 2018 & 2022. So the R&P’s try their hardest to discourage all that allow it to get the hell out of the way until they are majority.
Stay strong to win. Hold on to your assets and add if possible. There is a low finite supply. Zero tokens plus Zero on fear & greed = 🏆 for us and 🖕for them. And we’re getting pretty close
Juggernaut retweeted
🤣🤣💯. On the other hand while i play around with perps I'm also holding $QACE. They have a solid team and Robotics + AI is about to come in hot. teapaw.org/Qace_Dynamics/status/2…
QACE Dynamics | Weekly Progress Update
This week marked the transition of navigation from internal testing into hands on beta usage, with a focus on reliability, reuse, and real world behaviour.
Autonomous navigation is now available inside the beta dApp. Robots can move using prebuilt maps and onboard sensors, with support for defined locations such as task points or return positions. Once a destination is set, the system handles planning and execution without manual intervention.
Navigation now operates through a layered planning approach. A global planner determines the overall route using the map, while a local planner continuously adapts movement based on live lidar and camera input. This ensures safe progress even when unexpected obstacles appear.
Navigation targets are now reusable across workflows. Named locations and zones can be referenced by higher level logic, allowing tasks to be built around spatial intent rather than raw coordinates.
The same navigation block runs unchanged in simulation and on physical robots, making it possible to validate behaviour in Gazebo and deploy directly to hardware using the same setup.
More blocks and workflows coming next.
Juggernaut retweeted
QACE Dynamics | Weekly Progress Update
This week marked the transition of navigation from internal testing into hands on beta usage, with a focus on reliability, reuse, and real world behaviour.
Autonomous navigation is now available inside the beta dApp. Robots can move using prebuilt maps and onboard sensors, with support for defined locations such as task points or return positions. Once a destination is set, the system handles planning and execution without manual intervention.
Navigation now operates through a layered planning approach. A global planner determines the overall route using the map, while a local planner continuously adapts movement based on live lidar and camera input. This ensures safe progress even when unexpected obstacles appear.
Navigation targets are now reusable across workflows. Named locations and zones can be referenced by higher level logic, allowing tasks to be built around spatial intent rather than raw coordinates.
The same navigation block runs unchanged in simulation and on physical robots, making it possible to validate behaviour in Gazebo and deploy directly to hardware using the same setup.
More blocks and workflows coming next.
Juggernaut retweeted
First Principles of AI Native Engineering： Why We Stopped CI, Abandoned Code Review, and Embraced AI Pair Programming
arcblock.io/blog/en/first-pr…
Juggernaut retweeted
We want our developer community to grow together with us as we move toward a fully AI-native engineering future.
That’s why we’ve open-sourced our AI development core methodology and tools.
arcblock.io/blog/en/idd-inte…
Juggernaut retweeted
Here we go. ArcSphere v1.9 is live.
What's new:
- Chat history sync across all devices
- Redesigned sign-in with DID Wallet, Google, Apple & more
- Built-in Action Ring tips for faster onboarding
Update your AI Navigator now. arcsphere.io
