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Google's AI Scientist and Microsoft's Topological Quantum Chip

Key Points

  • Google’s “AI scientist” is a research‑focused system (not a commercial product) being beta‑tested in scientific labs to tackle hard scientific problems.
  • The AI has already generated novel hypotheses, such as independently proposing a new gene‑transfer mechanism and identifying a drug repurposing candidate for acute myeloid leukemia that showed promising in‑vitro results.
  • Its performance relies on enhanced, test‑time reasoning that runs internal scientific debates and hypothesis tournaments, improving the quality of its predictions.
  • This marks one of the first clear demonstrations that AI can conduct original scientific research, meeting a key milestone set by model developers.
  • In parallel, Microsoft announced the Majara 1 quantum chip, featuring a “new state of matter” described as a topological superconductor, underscoring advances in quantum hardware despite limited public details.

Full Transcript

# Google's AI Scientist and Microsoft's Topological Quantum Chip **Source:** [https://www.youtube.com/watch?v=ZNkF5ZGz0bA](https://www.youtube.com/watch?v=ZNkF5ZGz0bA) **Duration:** 00:04:25 ## Summary - Google’s “AI scientist” is a research‑focused system (not a commercial product) being beta‑tested in scientific labs to tackle hard scientific problems. - The AI has already generated novel hypotheses, such as independently proposing a new gene‑transfer mechanism and identifying a drug repurposing candidate for acute myeloid leukemia that showed promising in‑vitro results. - Its performance relies on enhanced, test‑time reasoning that runs internal scientific debates and hypothesis tournaments, improving the quality of its predictions. - This marks one of the first clear demonstrations that AI can conduct original scientific research, meeting a key milestone set by model developers. - In parallel, Microsoft announced the Majara 1 quantum chip, featuring a “new state of matter” described as a topological superconductor, underscoring advances in quantum hardware despite limited public details. ## Sections - [00:00:00](https://www.youtube.com/watch?v=ZNkF5ZGz0bA&t=0s) **Google’s AI Scientist Advances Research** - The speaker explains that Google’s newly released AI scientist, currently beta‑tested in select labs, tackles hard scientific challenges by generating novel hypotheses such as a gene‑transfer mechanism and drug‑repurposing candidates, underscoring its non‑commercial focus on accelerating scientific discovery. ## Full Transcript
0:00Google has built an AI scientist and 0:02Microsoft has built a new state of 0:04matter uh and we're going to talk about 0:06it so fundamentally when you think about 0:09AI agent architectures we tend to assume 0:12that they have a commercial application 0:14and in this case the AI scientist that 0:17Google builds isn't really for 0:18commercial purposes Google is beta 0:20testing it with a few select scientific 0:23Labs but it really is truly for high 0:25hard scientific problems and it lines up 0:28with things that open AI have adusted in 0:30others that they really see open uh they 0:34really see openness to scientific 0:37research and advancing scientific 0:39research is one of the key benefits of 0:41artificial intelligence you might say 0:43where are the hard benefits and when 0:45Google released their paper and then 0:46released the scientist's uh AI 0:49architecture to labs they called out 0:51that this scientist has already done 0:53novel work and so a few examples they 0:57gave were that apparently it 0:59independently hypothesized a novel Gene 1:01transfer mechanism that the Imperial 1:04College of London had looked at and had 1:05not yet been able to publish and so it 1:07could have known about it but it 1:09developed a hypothesis that that was 1:11correct in that instance but it went 1:13farther than that it also looked at uh 1:15drug repurposing candidates which is 1:17often a fast-track way to get drugs uh 1:19into people's hands because you can take 1:21a drug that works for disease X and say 1:24oh it actually works for disease y too 1:26which is a hypothesis you have to 1:27validate and all of that well it 1:30proposed a novel drug that would work 1:32for acute myoid leukemia um and they 1:36took the drug and tried the repurposing 1:38and it works in vitro which doesn't mean 1:40it works in humans yet we're not all the 1:41way through that's a multi-year process 1:43but it means that it was able to 1:44formulate a hypothesis that stood up to 1:46the next test along the 1:49way and what's what's interesting is it 1:52uses uh some enhanced reasoning under 1:55the hood to do that so it scales test 1:58time compute which is what we see a lot 1:59with reasoning here right like test time 2:01compute is when you uh ask a question it 2:03takes a while to answer right because 2:05it's running so much back and forth the 2:07system engages in uh scientific debates 2:11internally it has ranked tournaments for 2:13hypotheses ultimately that leads to 2:15improved reasoning and hypothesis 2:18qualities uh or and hypothesis quality I 2:20should 2:21say so in terms of why this matters the 2:26key thing to take away is that at the 2:28end of the day 2:31AI is supposed to be able to do novel 2:34scientific work that is one of the bars 2:35that the model makers have set out and 2:37this is one of the first examples we've 2:39seen that it actually can and that's 2:42really exciting meanwhile Microsoft 2:44unveiled majara 1 uh which apparently 2:47includes a new state of matter we have 2:49solid liquid gas and now some sort of 2:52topological superconductor and they're 2:54not telling me like how to imagine it so 2:56I can't tell it to you but it apparently 2:58is made from uh like the physical 3:00substrate is part of what makes this the 3:02quantum chip so cool because it reduces 3:06uh it reduces errors and makes more 3:08reliable and scalable what are called 3:10cubits which are the little bits that 3:12actually form the logic gates in a 3:14superconductor and for the first time 3:16they see a path to a million cubits in a 3:19single chip which would enable a Quantum 3:21system that can actually do like 3:23industrial applications does this mean 3:25that we're ready tomorrow for industrial 3:27applications no no we are not but does 3:31it mean that we are excited to see if we 3:36can build a more reliable system because 3:39we have topological 3:41superconductors yes I think this is 3:43actually a meaningful technical 3:45breakthrough and it shows that Microsoft 3:48and Google are very much neck and neck 3:50in this Quantum compute race it's been 3:53five years away from production for a 3:54long time if you've been following 3:56supercomputing so I'm not holding my 3:57breath but I do think that we see a 4:01Cascade of breakthroughs here that could 4:03lead to something that is Meaningful 4:05Quantum Computing 4:06industrially um maybe by 2030 we'll see 4:09right maybe this five years away will 4:11actually work so yeah that's where we're 4:13at um I'm excited sometimes sometimes I 4:17think we lose lose ourselves in the 4:19model maker news and we forget some of 4:21these other hard science updates so it's 4:22pretty cool