daemonk

7 ms·

1.
by daemonk 1mo ago
They are going to run out of real world data very soon. AI labs need to hire non-cynical domain experts to build physical hardware/automation that can generate experimental data. They are hard to find though. Most domain experts are so
2.
by daemonk 4mo ago
I am getting the exact opposite experience. But it is probably because I am in a domain where code/software is a tool, not the product. I find myself learning exponentially faster and more. For example, I am working with spectroscopy h
3.
by daemonk 4mo ago
I don't disagree with Bambu from an operational standpoint, but disagree with their handling of this. They are offering a cloud infrastructure that allows users to remote control the printer via their software. If they don't want
4.
by daemonk 6mo ago
I have a data science/engineering background. From my perspective, using AI is like mining the solution space for optimality. The solution space is the combinatorics of the billions of parameters and their cardinalities. You try to nar
5.
by daemonk 6mo ago
I AI coded an entire platform for my work. It works great for me. I also recognize that this is not something I want to make into a commercial product because it was so easy that there's just no value. I think this might be more of an
6.
by daemonk 6mo ago
Yeah this is the simpler and also effective strategy. A lot of people are building sophisticated AST RAG models. But you really just need to ask Claude to generally build a semantic index for each large-ish piece of code and re-use it when
7.
by daemonk 7mo ago
Just write a Claude OS already.
8.
by daemonk 7mo ago
I did this in the beginning and realized I never went back to it. I think we have to learn to embrace the chaos. We can try to place a couple of anchors in the search space by having Claude summarize the code base every once in a while, but
9.
by daemonk 7mo ago
Were there any discussion from either company about giving government access to consumer data from the the consumer product?
10.
by daemonk 7mo ago
It's a different skillset and way of thinking. Engineers tend to think vertically deep on technical problems. With AI, you have to think horizontally broad and vertically up on the architectural problem. The trick is to be comfortable
11.
by daemonk 7mo ago
Pretty cool technique using complementary overhangs and toehold sequences to generate a 3-way heteroduplex, ligate knick, and then remove barcode duplex. They don't give much details on how the barcode duplex is removed though. I guess
12.
by daemonk 8mo ago
I am unsure of the impact of this to the regular consumer as this seems like a pretty niche area. But it's kinda shitty that interpersonal relationships of two companies are impacting their customers negatively. The onus is not up to p
13.
by daemonk 11mo ago
It reeks a bit of tech self importance. From an overall business context, you balance time/effort vs short/long term reward and design or fix things when you need to. There are many dials to manipulate in a business to make it mor
14.
by daemonk 1y ago
So the queen can lay 3 types: hybrid female, Ibiricus male, structor male. Did they do karyotyping? Is it actually that the queen somehow removed its own genetic material from the nuclei or does it somehow get silenced when the M. structor
15.
by daemonk 1y ago
The haplotype phasing strategy is the key method here. The phasing method is described in a previous paper: https://www.nature.com/articles/s10038-022-01049-6
16.
by daemonk 1y ago
I think this sentiment has probably been echoed through the ages. It feels like there's an assumption that we've reached some kind of a complexity ceiling and compressing complexity below us will just make us dumb? What if we&#x27
17.
by daemonk 1y ago
It might not be the mainstream on HN, but most popular polls I've seen show similar trends of a lesser proportion of people wanting to live longer, citing the same societal collapse concerns. In any case, whether something is espoused
18.
by daemonk 1y ago
This isn't an unpopular opinion. I would argue this is the mainstream argument. I think all medical advances benefit the wealthy first and then becomes more affordable over time. The term "aging" seems to trigger a lot of peo
19.
by daemonk 1y ago
At a higher level, MCP seems wants to enforce a standard where no standard exists. I get that the low level technical implementation allows AI to utilize these tools. But there doesn't seem to be any standardization or method in how to
20.
by daemonk 1y ago
Learning biology is a great insight to how humans think about complex systems. We tend to utilize a reductionist and engineering approach to figure out how things work. This is a perfectly valid approach when building up a complex system fr
21.
by daemonk 1y ago
I don’t think we are going to agree on this. At the end of the day we are really just disagreeing on how seriously we should take AI-ification of software engineering. I take a lighter stance that it’s mostly harmless and has a lot of educa
22.
by daemonk 1y ago
Sure. But it's not really about you. I wouldn't break into someone's house and tell them they painted their house an uninformed color. If something sucks or won't scale, it will sort itself out in the market.
23.
by daemonk 1y ago
[flagged]
24.
by daemonk 2y ago
I think this is just subject to normal market forces and very product dependent? If you have engineering skills that are not easily found, then you can ask for more. If the founders don't give it to you, then they might not be able to
25.
by daemonk 2y ago
TXTL systems already works. And there are antibodies (not many) that can only be produced cell free. The problem is really scale.
26.
by daemonk 2y ago
Cell-free synthesis is the next step. Theres slow progress, but very interesting operational models if it works.
27.
by daemonk 2y ago
Nanopore spits out data as dna goes through the pores. And depending on the flowcell you are using, you can load or top up the flow cell in smaller amounts. So you can potentially have quick turn around time without having to wait for enoug
28.
by daemonk 2y ago
Productionizing and scaling nanopore sequencing is definitely an achievement. With that operational obstacle out of the way, you get to think about sequencing in terms of “streams” of data rather than “batches” of huge amounts of data (illu
29.
by daemonk 2y ago
For most instruments, it's an interplay between resolution and consistency. There isn't a "true" reading in any sense of the word. There is just how much resolution you are measuring and how consistent the measurement is
30.
by daemonk 2y ago
I think it is entirely fair to say that there probably isnt just one primary way to run a large organization. That’s really the main takeaway I found useful from Paul Graham’s blog post. He obviously didnt specify at all what other ways are

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