Having “infinite” (or even just a few orders of magnitude more compute would be huge for AI. AI progress is currently bottlenecked by the number of experiments one can run on current compute budgets.
No one believes the transformer is the best possible architecture. With 10,000x more compute you could run neural architecture search to look for better transformers. With 10,000x more compute you have the resources to run to scale up the algorithms from hundreds of promising but compute starved papers.
AI progress is almost a direct function of compute. The reason we didn’t have the transformer revolution when the original paper came out in 2016 is because the compute available then was 5 or 6 orders of magnitude less than what we have today.
I’m not the quantum computing expert, but it’s my understand that quantum computers are only good for narrow domains and can never run any type of AI. If so then I agree with your thesis. But if it turns out quantum computing can be directly used in AI, I’d be very bullish about the technology.
Martin Shkreli’s recent piece, “Quantum Computing: 2075?” raises an intriguing mix of skepticism and pragmatism about this emerging field. We at Qryptonic appreciate his willingness to challenge big ideas—after all, a little doubt can drive meaningful innovation. But in the words of A Tribe Called Quest, it’s time to “Check the Rhime” on quantum computing’s true potential.
1. Demand for Quantum Is Real
While classical HPC and GPUs remain critical, quantum computing addresses problems classical systems struggle with—like large-scale optimization, certain AI subroutines, and molecule-level simulations in pharmaceuticals. Major corporations and governments aren’t investing billions in quantum R&D for novelty; they see the path to practical applications and returns.
2. Concrete Use Cases
Drug Discovery: More accurate quantum simulations of molecular interactions could shorten R&D cycles and save billions—a significant incentive for pharma giants.
Post-Quantum Security: Even with new cryptographic standards like Dilithium and Kyber, “harvest-now, decrypt-later” threats make quantum-safe solutions essential.
3. Market Timelines Aren’t All or Nothing
“Quantum winters” may come and go, but history shows us that setbacks often precede breakthroughs. IBM, Google, Microsoft, and others have released tangible roadmaps. Incremental gains in error correction, qubit fidelity, and quantum software prove we’re not simply guessing—we’re building toward real milestones.
4. The Bigger Picture
Skepticism aside, quantum computing’s lure isn’t just raw speed; it’s the unique advantage of harnessing quantum effects for complex tasks. Even if full-scale, fault-tolerant machines are still on the horizon, intermediate systems are already finding niche applications.
In closing, we appreciate Martin Shkreli’s candor and contrarian insights—much like a rare hip-hop collectible, disruptive ideas can spark excitement (or controversy!). But if we “Check the Rhime” in the quantum community, it’s clear that breakthroughs will arrive far sooner than 2075.
At Qryptonic, we remain confident that quantum computing will prove its worth in cybersecurity, pharmaceuticals, AI, and beyond—offering more than just a speculative dream, but a practical reality that’s unfolding faster than many realize.
To your point 2 on drug discovery. the current computational approaches (Schroedinger) might cut down time by about 2 years, if all goes well.
The issue in drug development is in the clinic. If there is no system/process to slash time in the clinic significantly, the whole computational (incl. Quantum) thesis might be futile.
"Robonews." Very captivating read. You bring up some great points about the hype around quantum computing. I love how you're not afraid to question whether it's really as game-changing as everyone says. The idea of 'quantum winters' where progress stalls is pretty interesting too. I'm not as up to speed on the topic as you hah, but you've definitely made me think more about what quantum computing can actually do for us. Appreciate your honest take on this, it's refreshing to see someone cut through the excitement and look at the practical side.
Having “infinite” (or even just a few orders of magnitude more compute would be huge for AI. AI progress is currently bottlenecked by the number of experiments one can run on current compute budgets.
No one believes the transformer is the best possible architecture. With 10,000x more compute you could run neural architecture search to look for better transformers. With 10,000x more compute you have the resources to run to scale up the algorithms from hundreds of promising but compute starved papers.
AI progress is almost a direct function of compute. The reason we didn’t have the transformer revolution when the original paper came out in 2016 is because the compute available then was 5 or 6 orders of magnitude less than what we have today.
I’m not the quantum computing expert, but it’s my understand that quantum computers are only good for narrow domains and can never run any type of AI. If so then I agree with your thesis. But if it turns out quantum computing can be directly used in AI, I’d be very bullish about the technology.
A Qryptonic, LLC Research Team Rebuttal
Head of Quantum Computing, Qryptonic
Martin Shkreli’s recent piece, “Quantum Computing: 2075?” raises an intriguing mix of skepticism and pragmatism about this emerging field. We at Qryptonic appreciate his willingness to challenge big ideas—after all, a little doubt can drive meaningful innovation. But in the words of A Tribe Called Quest, it’s time to “Check the Rhime” on quantum computing’s true potential.
1. Demand for Quantum Is Real
While classical HPC and GPUs remain critical, quantum computing addresses problems classical systems struggle with—like large-scale optimization, certain AI subroutines, and molecule-level simulations in pharmaceuticals. Major corporations and governments aren’t investing billions in quantum R&D for novelty; they see the path to practical applications and returns.
2. Concrete Use Cases
Drug Discovery: More accurate quantum simulations of molecular interactions could shorten R&D cycles and save billions—a significant incentive for pharma giants.
Post-Quantum Security: Even with new cryptographic standards like Dilithium and Kyber, “harvest-now, decrypt-later” threats make quantum-safe solutions essential.
3. Market Timelines Aren’t All or Nothing
“Quantum winters” may come and go, but history shows us that setbacks often precede breakthroughs. IBM, Google, Microsoft, and others have released tangible roadmaps. Incremental gains in error correction, qubit fidelity, and quantum software prove we’re not simply guessing—we’re building toward real milestones.
4. The Bigger Picture
Skepticism aside, quantum computing’s lure isn’t just raw speed; it’s the unique advantage of harnessing quantum effects for complex tasks. Even if full-scale, fault-tolerant machines are still on the horizon, intermediate systems are already finding niche applications.
In closing, we appreciate Martin Shkreli’s candor and contrarian insights—much like a rare hip-hop collectible, disruptive ideas can spark excitement (or controversy!). But if we “Check the Rhime” in the quantum community, it’s clear that breakthroughs will arrive far sooner than 2075.
At Qryptonic, we remain confident that quantum computing will prove its worth in cybersecurity, pharmaceuticals, AI, and beyond—offering more than just a speculative dream, but a practical reality that’s unfolding faster than many realize.
Qryptonic, LLC Research Team
www.qryptonic.com
“Securing Tomorrow, Today.”
To your point 2 on drug discovery. the current computational approaches (Schroedinger) might cut down time by about 2 years, if all goes well.
The issue in drug development is in the clinic. If there is no system/process to slash time in the clinic significantly, the whole computational (incl. Quantum) thesis might be futile.
Not for Everyone. But maybe for you and your patrons?
Dear Martin,
I hope this finds you in a rare pocket of stillness.
We hold deep respect for what you've built here—and for how.
We’ve just opened the door to something we’ve been quietly handcrafting for years.
Not for mass markets. Not for scale. But for memory and reflection.
Not designed to perform. Designed to endure.
It’s called The Silent Treasury.
A sanctuary where truth, judgment, and consciousness are kept like firewood—dry, sacred, and meant for long winters.
Where trust, vision, patience, and stewardship are treated as capital—more rare, perhaps, than liquidity itself.
The two inaugural pieces speak to a quiet truth we've long engaged with:
1. Why we quietly crave for signal from rare, niche sanctuaries—especially when judgment must be clear.
2. Why many modern investment ecosystems (PE, VC, Hedge, ALT, SPAC, rollups) fracture before they root.
These are not short, nor designed for virality.
They are multi-sensory, slow experiences—built to last.
If this speaks to something you've always felt but rarely seen expressed,
perhaps these works belong in your world.
Both publication links are enclosed, should you choose to enter.
https://tinyurl.com/The-Silent-Treasury-1
https://tinyurl.com/The-Silent-Treasury-2
Warmly,
The Silent Treasury
Sanctuary for strategy, judgment, and elevated consciousness.
Oh wow you are still out there. Like, living a life still trying to give advice and all… truly wow.
"Robonews." Very captivating read. You bring up some great points about the hype around quantum computing. I love how you're not afraid to question whether it's really as game-changing as everyone says. The idea of 'quantum winters' where progress stalls is pretty interesting too. I'm not as up to speed on the topic as you hah, but you've definitely made me think more about what quantum computing can actually do for us. Appreciate your honest take on this, it's refreshing to see someone cut through the excitement and look at the practical side.