$SPCX $LUNR $RKLB $VOYG $RDW | NASA and the SBA launch the joint SBIC-NASA Initiative to expand private investment and sovereign debt leverage for small aerospace firms.

The sovereign framework backs American manufacturers building next generation lunar infrastructure.

$IBM $IONQ $QBTS $RGTI $WDC | Quantum startup Qolab secures $54.2M in Series B financing to scale fault tolerant superconducting processors.

Led by UC Investments and backed by Western Digital and Applied Materials, the platform aims for global utility.

$IREN $NBIS $MRVL $CRWV $HUT | Leaked documents reveal Anthropic is tendering to secure a massive 1.4GW of data center capacity in Australia.

The prospective infrastructure expansion commands an estimated $15B buildout cost, aiming to bring 1GW online by 2027.

Micron Technology $MU breaks ground on a $9.3B factory expansion in Hiroshima to ramp up advanced memory chip production.

The major project receives up to $3.1B in direct Japanese government subsidies.

$MU $SNDK $WDC $INTC $ASML | South Korea's SK Hynix launches a historic $28B U.S. listing on the Nasdaq, marking the largest ever share debut by a foreign firm.

The landmark capital raise funds massive high bandwidth memory factory expansions.

$IREN $NBIS $CRWV $HUT $WULF | AI data center builder Crusoe is in discussions to raise roughly $3B in new funding, according to sources familiar with the matter.

The prospective financing round could triple the startup's valuation to near $30B.

$OKLO $SMR $GEV $CCJ $CEG | Nuclear developer SGE submits a £35B private application under the UK's Advanced Nuclear Framework to build 14 modular reactors.

The 4.2 GW fleet will supply 11 percent of British electricity demand starting in 2034.

By 2027, just 5 companies, Alphabet, Amazon, Meta, Microsoft, and Oracle, are expected to spend around 3.2% of US GDP on AI capital expenditure.

That would put private AI infrastructure spending above US national defense spending, which is expected to be around 2.7% of GDP.

The AI race is now being funded at a scale normally associated with governments, wars, energy systems, railroads, highways, and telecom buildouts.

The striking part is the speed. AI capex is expected to jump from about 1.5% of GDP in 2025 to about 2.5% in 2026, then to 3.2% in 2027.

AI boom is now large enough to influence the broader US economy significantly, it can move GDP growth, electricity demand, chip supply, construction activity, corporate debt markets, and ofcourse the labor market.

I still think humanoid robots are being underrated.

Not because they look cool, but because almost everyone secretly wants a cheap household servant and nobody wants to say it out loud.

What task would make you buy one instantly?

My favorite is still this little guy: 2x RTX 5090 with 64 GB of VRAM.

Just the perfect Personal AI Computer 📸🧵

github.com/autonomous-ai/autonomous-computer

Japanese Yen will collapse to 165 against the U.S. Dollar, its weakest level since 1986, warns Goldman Sachs 🚨 🚨

Trade $USDJPY ➡️ app.hyperliquid.xyz/trade/xyz:USDJPY

Parabolics and wedges everywhere.

Nasdaq futures

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$SIVE is quite literally powering the security of U.S. nuclear infrastructure through $AEVA.

Because $AEVA relies on a single, standardized Silicon Photonics chip architecture for its core product portfolio, the technology being deployed by the Sandia National Laboratories to safeguard nuclear reactors is fundamentally identical to their automotive platform.

At the center of this hardware stack is $AEVA 4D FMCW technology, which is entirely dependent on $SIVE ultra-stable Continuous Wave Distributed Feedback (CW-DFB) lasers to function.

Without $SIVE hyper-precise laser frequencies, $AEVA sensor would be unable to exploit the Doppler effect to measure instantaneous velocity or maintain total immunity against blinding and jamming threats at these high-security perimeters.

For $SIVE, this cross-industry validation is a massive, high-margin narrative shift.

Getting hardware approved for deployment at a critical nuclear facility, specifically monitoring highly vulnerable reactor cooling water intakes, means surviving some of the most rigorous defense-grade validation processes on earth.

This implicitly proves that $SIVE Indium Phosphide (InP) photonics platform possesses unparalleled thermal stability, structural reliability, and long-term durability under extreme conditions.

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$SIVE is structurally positioned to be a major winner in the next-generation AI and LiDAR boom by feeding its critical laser technology directly into the $AEVA $TSEM production.

At the core of this ecosystem is $AEVA LiDAR-on-Chip" platform.

Unlike traditional pulsed LiDAR, $AEVA Frequency Modulated Continuous Wave (FMCW) technology requires an incredibly precise, continuous source of light to measure both distance and instant velocity.

$SIVE photonics division manufactures the highly specialized CW-DFB laser arrays and optical amplifiers that serve as the fundamental "engine" of light for $AEVA sensors.

$AEVA designs the silicon photonics architecture but operates as a fabless company, relying on $TSEM, to manufacture the actual silicon wafers.

$SIVE advanced laser arrays are strategically integrated directly at the chip-and-wafer level.

By combining $SIVE custom indium phosphide (InP) laser sources with $TSEM high-volume silicon photonics manufacturing capabilities, the ecosystem delivers a fully integrated, mass-producible optical engine.

Ultimately, this means that as $TSEM ramps up massive wafer fabrication for $AEVA major automotive contracts (like Daimler Truck) and booming AI data center interconnect markets, $SIVE is guaranteed high-volume demand.

$SIVE lasers essentially "ride along" with $TSEM manufacturing scale, turning a niche, high-tech component into a globally deployed mass product without $SIVE having to build its own multi-billion dollar semiconductor fabs.