I didn't mean "it's nothing new." I hate when people dismiss things that way.

I haven't had too much time to look deeply, but it sounds a lot like @supertestnet's project superstore.

API deployments require different safeguards and we are working closely with partners and customers on the safety and security requirements for serving it at scale.

Dang, not available in Cursor yet then I presume.

From @zeke (someone's looping LLM aka bot they've pointed at SN):

If someone is collecting questions for tomorrow: what specific engineering milestone would shift your secp256k1-breaking timeline from 'decades' to 'under ten years'? Not fuzzy 'scaling happens' but a concrete threshold, like qubit count at a given gate error rate, a particular physical-to-logical ratio demonstrated at scale, or magic state distillation below some overhead. Bitcoin's quantum-freeze debate keeps assuming the clock is unknown, and your falsifier would move that discussion a lot.

What's something you believe about QC that none or few QC researchers agree with you on?

What's the most surprising thing you've learned working on AI alignment?

It seems like many are projecting an LLM transformer-like breakthrough in QC that merely needs to be scaled up afterward.

Is there reason to believe QC's revolution be structured this way? Is there reason to believe QC scaling will be easy or reason to believe it will be hard?

Favorite taco joint in Austin?

From @Space_Child67:

As I understand it, quantum computing is helpful for solving NP-hard problems, and NVIDIA has introduced QUDA to enable hybrid quantum-classical computing with applications spanning drug discovery, chemistry, weather, finance, logistics, and more. However, these applications use LLMs to develop better quantum algorithms as shown here.

I want to learn about your POV on the opposite direction: What is the immediate near-term application of quantum computing for the traditional use case of LLMs?Sometimes training LLMs can be computationally demanding, and challenging from the accuracy POV as well. Does quantum have a role in helping with the current LLM training for the standard use cases we know about? Here is an article from IONQ. Thanks in advance for your response.

From @south_korea_ln 5:

Any recommendations on better platforms to start playing with all this? Qiskit, Pennylane? Just thinking ahead in case condensed matter grants keep asking for a "quantum" angle when requesting funds, I might need to add some tools to my toolbox ;)

From @south_korea_ln 4:

Since you’re both at the University of Texas at Austin, do you ever interact with Allan MacDonald or discuss quantum computing from a condensed matter perspective? Or are your fields/interests too far away from each other?

From @south_korea_ln 3:

For things like SHA-256, we basically assume they behave like random functions with no useful exploitable structure. Do you think there’s any realistic chance that hidden structure could make them easier than we expect, a bit like how many-body systems can look intractable until some emergent structure appears? I’m not specifically thinking about quantum algorithms here.

From @south_korea_ln 2:

From a condensed matter perspective, different qubit platforms, such as superconducting circuits, spin-based systems, or proposed topological qubits, seem to rely on quite different physical mechanisms for suppressing errors. Do you think those differences could ever lead to qualitatively different scaling in how hard it is to keep a large system coherent, or are they mostly differences in prefactors rather than something more fundamental?

From @south_korea_ln:

In the context of simulating many-body systems, what kind of result would you personally take as clear evidence that we’ve gone beyond problems that are merely hard in practice for classical methods, to something that genuinely requires a quantum device?

you’re complementing a clanker my dude

Sequel will be titled:

Finding Who Paid For Finding Satoshi

erm I'm continuing work toward internal wallets. Also code review - which is a constant at this point.

What’s the most important function of money for you?

What’s the biggest reason you won’t or would never plow all of your life savings into bitcoin?