🚨: Asteroid Psyche 16 has been found to contain gold reserves worth $700 quintillion.

That's enough to make everyone on Earth billionaires.

NASA’s Psyche mission suggest that 16 Psyche one of the largest objects in the asteroid belt is even richer in metal than previously believed

Here is the Asus RTX Spark mini Windows PC. With 128GB of unified memory it lands right below the $4,600 DGX Spark Linux PC and just above the $3,300 128GB AMD Strix Halo Win PC. The is a crowded pricing tier.

AmpliTech Group $AMPG and its connection with quantum.

$AMPG is primarily seen as an 5G O-RAN infrastructure play (and 6G in the future), next to having customers and partnerships for SATCOM and defense.

But one thing that I feel the market is underestimating is $AMPG's connection with quantum.

AmpliTech Group produces low-noise Cryogenic High Electron Mobility Transistor (HEMT) amplifiers, that are essential for quantum computing. Quantum computing requires qubits to be stored at temperatures of 4 Kelvin (-269 degrees Celsius). The signals that these qubits generate are very weak and require an amplifier.

At these extreme temperatures, almost all LNAs fail to work, because they generate too much heat and cause distortions.

$AMPG is the exception. Their low-noise Cryogenic HEMT amplifiers work under extremely low temperatures of 4 Kelvin and almost zero noise (lower than 0.1dB), and are fully produced in the United States. AMPG is the leading player when it comes to this type of hardware.

AmpliTech Group has officially disclosed that they have delivered Cryptogenic LNAs to two Fortune 50 companies already. We know that $IBM is almost certainly one of them, as they have an official partnership with $AMPG. The other one could be $GOOG or $MSFT.

Quantum computing is yet to be commercialized and is still sitting in the R&D stage. But the amount of money that goes around in R&D in these megacap firms is enormous. $IBM alone already spends $2 billion annually on quantum R&D.

You don't often find a company trading at merely ~$131 million market cap, that not only has a hand in 5G O-RAN infrastructure, SATCOM and defense, but also quantum through having two Fortune 50 customers.

It'll be interesting to see what happens to US Oil next week.

#WTI I'm still expecting a bounce before the sharp downward move begins. We'll see if that pans out.

$LASE - Did you listen?

$BB Building AI was Phase One.

Deploying AI into the physical world may be Phase Two.

Autonomous vehicles.

Industrial automation.

Medical devices.

Critical infrastructure.

As intelligence moves beyond the cloud, trusted operating systems become increasingly important.

qnx.software/en

The 2023 article on $SPCX using $BB QNX was about its past role in Falcon rockets. While SpaceX now runs mostly custom Linux, QNX remains trusted for real time systems.Stronger proof: In early 2026, NASA added official support for QNX SDP 8.0 to its core Flight System (cFS), used on 40+ missions. BlackBerry helped make it happen showing QNX is still a top choice for safety critical space tech.

Honestly speaking, im just going to keep adding to my Blackberry position as I think Physical AI itself and the core mechanisms is going to shift at a rapid space and anything under $15 on $BB is a add for me.

See you monday for market openings :)

etd.gsfc.nasa.gov/capabilities/core-flight-system/news/nasas-cfs-expands-operating-system-support-with-addition-of-qnx/

$SPCX IS USING $BB QNX real time OS??

Why is no one talking about this?

Humanoid Robotics supply chain.

While most operating systems are built as massive monolithic code structures, where a failure in one area can cascade, BlackBerry $BB QNX is fundamentally different at its core.

Its unique value lies in its microkernel architecture. Instead of containing all OS services within the kernel, QNX places them in tiny, isolated 'modules.' If a file system or network driver crashes, it doesn't bring down the entire system—the OS simply restarts that specific service module in milliseconds, preserving device integrity and safety-critical functions. This microkernel design is why QNX is chosen for the world’s most critical deployments, from robotic medical devices to autonomous vehicle platforms.

#BB #QNX #Microkernel #EmbeddedSystems #IoT #SafetyCritical #AutonomousVehicles

How to never hit your Claude rate limits ever again.

It took me months to uncover these tips.

I have now been using Claude for 4+ hours/day with ZERO rate limit interpretations.

You'll want to save this

Google just shrank 31GB of AI memory down to 4GB. Same search. Faster than the industry standard. No training required.

This is not a model improvement. This is not a new architecture.

→ It's a compression algorithm that makes the hardware problem smaller.

Right now, running serious AI locally means serious RAM. Most machines can't do it. Most phones can't do it. Most edge devices can't do it.

Turbovec quietly changes that math. A 10 million document search engine that used to need a server now fits on a laptop.

Nobody is talking about this because it shipped as a GitHub repo, not a press release.

The models get the headlines. The infrastructure is where the shift actually happens.

github.com/RyanCodrai/turbovec

The market is crashing, panic is spreading.

At this very moment, Trump’s team suddenly announced: they may acquire U.S. shares of artificial intelligence companies!

This is not a coincidence, but a signal.

History has repeatedly proven: Whenever you follow President Trump in buying stocks, it often marks the beginning of great wealth.

June Investment Advice

Absolutely no conflicts of interest here, right?

Who gets the next government bailout... I mean "investment"

AI has completely restructured how I invest - and I'm making some big portfolio adjustments because of it.

Here's the ultimate playbook to investing in the AI gold rush

$GOOG The market keeps debating whether the AI trade is over.

Meanwhile the world’s largest technology companies continue securing massive amounts of compute capacity.

AI isn’t slowing down.

It’s industrializing.

Compute.

Power.

Memory.

Datacenters.

Infrastructure.

The next phase may be significantly bigger than the first.

If you missed the $NVDA trade, don't worry. The next big AI trade is literally sitting right in front of you.

I just compiled 60+ AI companies currently printing multiples - all in one place.

If you want massive gains from this sector, bookmark this