capitalsigma

6 ms·

1.
by capitalsigma 3d ago
Crypto was mostly grift targeting non-technical people LLMs are a real, genuinely-useful technological innovation that happens to have arrived first in software engineering. Lots of SWEs spend their whole day talking with LLMs and feel a pe
2.
by capitalsigma 1mo ago
If the author has preferences on their "own writing" that conflict with Anthropic's, then they should actually write it themselves rather than paying Anthropic to do it. Private companies don't owe you anything, even les
3.
by capitalsigma 1mo ago
> I chose to depend on a private company to express my own thoughts and now I'm mad that I'm not in control of the output Who could have seen this coming???
4.
by capitalsigma 2mo ago
Tokens measure "how much work the model did" in the same way that step counts measure "how far the person went" GPUs "generate tokens" in the same sense that human feet "generate steps" You can't
5.
by capitalsigma 5mo ago
Supposedly it was named "caml" because the author was a smoker who enjoyed camel cigarettes, hence the joke that [later implementations]( https://en.wikipedia.org/wiki/Caml#History ) were named "Caml Light
6.
by capitalsigma 6mo ago
This is more or less my belief too. But I think there are probably domains/companies where the "promo video" is actually good enough to ship (or at least, where that's the quality that devs were shipping before)
7.
by capitalsigma 6mo ago
People don't write blog posts about how they wake up at 3AM to assign new tasks to their intern, nor do they build "orchestration frameworks" that involve N layers of interns passing tasks down between eachother
8.
by capitalsigma 6mo ago
Also the process sounds like a nightmare: "it broke and I asked 4 different LLMs to fix it; my `AGENTS.md` file contained hundreds of special cases; etc." I thought this article was intended to be a horror story, not an advertisem
9.
by capitalsigma 1y ago
I'm pretty sure that "lack of market opportunity" isn't the reason that nobody has yet managed to invent eternal youth
10.
by capitalsigma 3y ago
It seems like they're targeting AI chip start ups with the promise of a compiler framework that can integrate with a custom backend
11.
by capitalsigma 3y ago
"matchmaking"
12.
by capitalsigma 3y ago
It seems a little disingenuous to call something written in an obscure Haskell dialect a "high performance UDP packet parser"
13.
by capitalsigma 3y ago
Money allows for economic specialization, leading to greater productivity. You don't build an economy that produces cell phones when you're stuck bartering goats for wheat.
14.
by capitalsigma 3y ago
I thought that Fortran was traditionally faster than C++ for numerical code due to stricter aliasing rules in the language, which I wouldn't expect to carry over to an IR?
15.
by capitalsigma 3y ago
Most big tech firms give engineers RSUs for this reason
16.
by capitalsigma 3y ago
Ponzi scheme is when the price collapses for something that I don't like, and the more that I don't like it the Ponzi-er it is
17.
by capitalsigma 3y ago
SWEs at Apple are not "barely able to afford rent"
18.
by capitalsigma 3y ago
Techies (at least at meta) are owners in the sense that a large % of their comp is in the form of equity, so it is in their interest for the company to maximize stock price.
19.
by capitalsigma 3y ago
Would you prefer subsistence farming?
20.
by capitalsigma 3y ago
There are overheads in server workloads that scale with the number of machines (network traffic, serializing/deserializing requests). There are also fixed costs per server that don't scale with core count, or at least scale sublin
21.
by capitalsigma 3y ago
We're not talking here about being overly critical in a code review, or even criticizing someone who pushed bugs to prod. This is someone who intentionally violated company policy in a way that harms everyone who works there. It is not
22.
by capitalsigma 4y ago
Increasing salaries will increase the cost of goods and services, meaning that more savings are required. It doesn't necessarily balance.
23.
by capitalsigma 4y ago
It's unclear to me how making these divisions dramatically increase their infrastructure costs (by either pulling them in-house or paying a premium to the original parent company) will "help them compete"
24.
by capitalsigma 4y ago
These models are very impressive, but the issue (imo) is that lay people without an ML background see how plausibly-human the output is and infer that there must be some plausibly-human intelligence behind it that has some plausibly-human l
25.
by capitalsigma 4y ago
The point is that ICs are judged based on their individual contribution s, i.e. their own code, design docs, etc, whereas managers are judged based on their team's contributions
26.
by capitalsigma 4y ago
Stock traders already use ML models. "Replacing traders with ML models" means "making the job 'trader' into a job that develops ML models, rather than more traditional things like doing research on companies (or wha
27.
by capitalsigma 4y ago
Obviously no, they shouldn't. You're not going to be able to keep that 6+ figure salary in a world where layoffs are illegal.
28.
by capitalsigma 4y ago
I'm personally happy to accept this volatility in return for higher comp and the opportunity to be part of a leaner, higher performing team. I don't want to work with people who are here to coast.
29.
by capitalsigma 4y ago
Clang support for AVX-512 intrinsics is pretty broken
30.
by capitalsigma 4y ago
It's supposed to be a joke, comparing the process of drift in the codebase with physical disintegration. Much like technical debt is not literally a balance owed to another party, or an object is not literally a physical lump of mass,

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