How many companies did you start? Probably none. Pretty surr Martin is levels above you there. Martin created more wealth for himself and other investors than you could in 10 lifetimes. How do you think companies without revenue need to fund their project? Lol. Do you even know the team? How often do you speak to them? You probably have 100 shares in the company and it goes down 1% and your on here being a cry baby man. Claude might help you with some research on start ups, check it out sometime!
To all you $QCLS haters, 10-K screenshot clowns, and dilution-crying bitches still seething over Martin: You never talked to Silverman, Glass, Rhodes, or Voss.
You never read the license
You never saw the qc-LPU100 photonic beast or the OPU roadmap. You just googled old pharma ticker, saw “Shkreli,” and started jerking off to bear porn like the lazy midwits you are. “Death spiral! Pivot scam! My bags!” Cry harder. This isn’t your boomer rugpull— it’s laser-powered photonic compute that’ll make GPUs look like dial-up. High risk? No shit. But your “analysis” is just “I hate the guy so tech bad.” Martin asked what gives you pause.
Still waiting for anything besides salty tears and zero DD. Sit on the sidelines, losers. The adults are building the future. 🚀
@MartinShkreli
Spot on. Real frontier tech like QCLS’s optical computing doesn’t follow startup hype cycles, it follows physics and patient capital. Investors need to understand revenue timelines and martin shows exactly the kind of honesty and long-term conviction this space needs. Most “AI” plays are just renting NVIDIA cycles; this is building the next paradigm. Excited to watch the progress. Keep cooking. 🚀
Missing one: $QCLS.
Pivoted into quantum-class photonic computing via LightSolver LPUs (laser processing at light speed).
March 2026: launched proprietary Optical Processing Unit (OPU) for silicon photonic AI inference — tackling power/bandwidth limits in data centers.
Fits the same physics-driven wave. Add it to the watchlist.
$QCLS is the next one to catch the bid in this quantum revival.NVIDIA’s models just lit the fuse on hybrid quantum-classical compute (error correction + GPU acceleration), sending pure-plays like IONQ (+62%), QBTS (+55%), QUBT (+39%), and RGTI (+37%) flying over the last 7 days. But the real under-the-radar photonic play hasn’t moved yet:
Q/C Technologies ($QCLS).
Here’s why it’s primed:
Tiny ~$30M market cap at ~$3.80/share vs. IONQ ($8-17B), RGTI ($4-5B), etc. Even a modest rotation to the next name could 10-20x it before it catches up.
The photonics stack powering AI is spot on @crux_capital_ .
Under-the-radar add:
$QCLS (Q/C Technologies).
They're developing a proprietary Optical Processing Unit (OPU) using laser-based photonic tech (via LightSolver license) for energy-efficient AI inference — targeting the Devices/Modules layer where real acceleration happens.
Fits perfectly between raw components and full connectivity.
Early-stage with risks, but a speculative photonic AI play worth watching as data center power walls grow. @MartinShkreli
Photonic computing is the narrative that wins the next crypto bull run. Full stop.
$QCLS is the clear winner.
Here’s why it smokes everything else:
Copper wires & electronic interconnects are obsolete. Electrons crawl through metal with resistance, heat, and insane power draw. Photons fly at the speed of light with zero resistance. No RC delays. No thermal throttling. Wavelength-division multiplexing turns one optical channel into dozens of parallel data streams. Result: 10–100× lower latency and bandwidth that GPUs can only dream of.
Interconnects are the real AI bottleneck. Today’s data centers and chips are strangled by copper NVLink-style links. $QCLS’s quantum-class laser processing units (LPUs) and upcoming optical processing units (OPUs) do matrix multiplications—the core of AI training and inference—optically. Light does the math natively. No electrons in the critical path.
It upends $NVDA completely. NVIDIA owns electronic GPUs, but physics has limits: power walls, heat, and copper interconnect scaling.
$QCLS (via exclusive global license with LightSolver) builds silicon-photonic hardware that solves the same workloads at light speed with a fraction of the energy. Think AI inference and crypto infrastructure that runs cooler, faster, and cheaper at scale. The “GPU killer” narrative isn’t hype—it’s optics replacing electrons where it matters most.
$QCLS already pivoted hard into this exact future: quantum-class photonic platform for blockchain, DePIN, mining, and AI inference. Early-stage, yes—but the tech is real, peer-reviewed, and exclusively licensed. Martin Shkreli as advisor + OpenAI talent on the board tells you the caliber.
Copper is yesterday. Light is tomorrow. $QCLS is how crypto rides the photonic wave. This is the narrative. Bet on light. 🚀