Join the discussion
Write your take first — we'll ask for email only when you're ready to publish.
- Hacker News
- So new business model meta is: acquire enough compute that you can burn millions of dollars on patentable scientific breakthroughs with unused capacity and on models nobody else has yet. That might actually kind of make sense.by petesergeant
- Same meta as many businesses for hundreds of years: use capital investment to hire labor, use labor to produce goods (including breakthroughs), sell goods and leverage patents. How many patents do IBM/etc have?by brookst
- If you had a Genie, would you only use it to make more slightly less capable genies?
This has always been the end game
by Aboutplants - Along the same lines, I asked ChatGPT-5.6 Sol to evaluate the feasibility of a neural network running natively on quantum computing, you can see the study here:
http://taonexus.com/publicfiles/sep2026/quantum_neural_netwo...
In short it's not really feasible and it suggested classical coherent photonics and in-memory compute as more viable approaches.
(Off-topic aside: these days I am more interested in funding Social Security Trust Funds (OASI & DI Solvency) - if anyone at OpenAI can help reactivate my account: rviragh@gmail.com it would let me do further studies that directly support this important goal, currently my chatgpt account was deactivated. I apologize for any mistakes I made earlier, it won't happen again. Please reactivate my account - thank you.)
by logicallee - Results of prompts are like farts. We each have our own and aren't interested in the ones from other people.by LtWorf
- It will be fun if the AI realize that quantum is not needed and just simulate the results in a classical computerby raverbashing
- It will be really fun if it turns out that AI simulating quantum effects in a classical computer genuinely is quantum and only collapses to classical with human observation.
(yes, I know why it doesn’t work that way, but it would be fun if it did)
by brookst - I am wondering about using ML/AI for quantum chemistry; ORCA is S-tier software and docs, but is very slow!
- Guess I need to update https://quantumvibecoding.orgby dr_dshiv
- Every time I open one of the multiple daily posts about Anthropic or OpenAI and read the comments, I get this weird feeling.
Astroturfing is obviously common in political spaces, whether to normalize certain views, manufacture consensus, or shift public opinion. It seems to me that HN would be a prime target for tech companies to do the same thing, and lately I can't shake the impression that there's a lot of it going on here.
This site might be dying.
by Iuz - There has always been quite a lot of fanboy-ism on HN with regards to certain corporations and there are also certain "celebrities" on this site that get tons of upvotes even on silly takes just because they're well-known, no different to Reddit in this regard. Reddit-style memes are abhorred but the pelican benchmark is considered top-notch and even expected in any new LLM release thread.
I still think there is heavier moderation here (the good kind) and more high quality content to be enjoyed than Reddit.
by cbg0 - LLMs are advancing the frontiers of knowledge. Is it really that hard for you to believe that people are simply genuinely fascinated about these developments?
People are burnt twice shy and have become comically cynical. Your discernment has been completely shot.
by stevenhuang - The whole thread without a single technical post about the significance (or not) of the announcement. Who want to follow me to create a new site that focus on the substance of the news?
I'm not abandoning HN, I can come back here to make fun of posts I don't like, post shallow comments, snarky ones, vent my conspiracy theories, complain about the evils that are S, A or E, post my personal anecdotes, advocate for my beliefs which I'm convinced as the only truth. Last but not least, feel smug posting about AI sounding posts. HN is a great place for all of that.
by jryle70 - Funny you should mention them but not the multiple daily posts about the Chinese models and labs.
- The worst for astroturfing I think is Kagi. Everytime a post comes up l, every comment is like "Kagi is so great yada yada", often totally unrelated to the article, with little comments mentioning negatives or commenting on the article.
Like, who even use a search engine at this point, let alone pay for it.
If this happens with a minor search engine I'm pretty sure it happens with a lot of other products, starting with AI models.
by eulgro - Generally the comments are heavily anti AI to the point where it almost seems like it’s a foreign adversary trying to mold the public opinion to be anti ai to slow the progress of AI advancement in the USAby ronnier
- The death of HN has been lamented since at least 2007 (in addition to the cliche that it's turning into Reddit, mentioned in the guidelines).
So far, it hasn't died nor turned into Reddit.
by yaseer - OpenAI is on a quite offensive lately with pathbreaking discoveries.by sidcool
- Something about the look of quantum computers takes me right back to the ENIAC.by Oarch
- Is it a version that has not yet been nerfed? Since yesterday I noticed Sol and Astra have become much dumber.by varispeed
- Relevant paper [0] "Replication of Quantum Factorisation Records with an 8-bit Home Computer, an Abacus, and a Dog"by lompad
- Made my day, thanks :)by wartywhoa23
- My C64 is going to absolutely smash this and my dog (Darby) is a frequent barker too! I'll vibe up an abacus emulator as a PWA.by gerdesj
- This is a fantastic way to use a C64!
If you want to see other similar quantum computing exploits on 8bit computers:
https://medium.com/@dakk/quantum-computing-on-a-commodore-64... https://youtu.be/7dgAaZa22nU https://youtu.be/Mo177GGJb3g https://youtu.be/zCC3AmM1_lo
- That's a nice article, but it's not relevant here.
The article you linked is about using quantum computer for fake big number factorization. You pick a very big number with a well known easy factorization and then use a quantum computer to factorize it, that is easy because you choose the number very carefully.
This article is about using a LLM to calibrate a quantum chip. It replace the work of a junior researcher (or something like that). In another comment, someone claims that is using a python script for this same task.
I like to think that the python script is an "expert system" that is 1980 AI, and the main article is an "large language model" that is 2020 AI. My guess is that for now the python script is better, but the LLM are advancing very fast and will catch up soon.
by gus_massa - I had qubit bring up and calibration fully automated with Python in 2011 including full spectrum measurements, lifetime characterization, Rabi/Ramsey measurements, calibration of single qubit gates and two qubit swap gates and full quantum process tomography, so not sure if AI is really needed there, curve fitting and some data logging is enough for this. Even had a nice LabView like GUI but with PyQT, it was quite nice. Still of course cool, I guess today I would just let Codex loose on some experiment goals but in the end my ability to produce results was mostly limited by the chip itself and the qubit lifetimes and theres no magic trick AI can apply to make these go up by a factor of 10. Still would’ve saved me a lot of time for routine programming tasks I imagine and that seems to be the main takeaway of the article. I guess name dropping quantum computing makes this sound cooler but in principle it’s just automation that you can apply anywhere, nothing quantum computing specific here.
- Even with AI you'd want the AI to be writing python scripts instead of following an analysis.md.by giacomoforte