WhyIsItAlwaysHN

5 ms·

1.
by WhyIsItAlwaysHN 17d ago
The continue keyword is also important, or alternatively the condition to run it. I often fail to notice it on the first look of some snippet of code
2.
by WhyIsItAlwaysHN 25d ago
I don't think it will ever be able to make perfect extensions, because there is no perfect extension. Part of creative work is human imperfections. Part of me being invested in a series is because I know it will end at some point. If t
3.
by WhyIsItAlwaysHN 27d ago
I think this is good in general for being able to see what happens in the code of a PR, but probably more so to seniors. If anything will be missing from juniors it will be the ability to run code in their heads if they've only written
4.
by WhyIsItAlwaysHN 27d ago
Is this just an ad for the product? How is this connected specifically to junior engineers? Is it implying that they cannot debug code without this kind of tool while more experienced people can?
5.
by WhyIsItAlwaysHN 1mo ago
So no youtube?
6.
by WhyIsItAlwaysHN 1mo ago
This line is taken very weirdly out of context in this comment though. The article's topic is brain to AI interfaces. She mentions this quote as a "vision" from 2035, where not only can thoughts inform AI but AI can respond i
7.
by WhyIsItAlwaysHN 2mo ago
The mistake there is to point it at code to figure out performance optimizations. The place to find them would be performance profiles, query plans, telemetry. The guidance for perf still applies, measure before and after change. The issue
8.
by WhyIsItAlwaysHN 2mo ago
This is a discussion about animal intelligence. Jumping spiders have a different brain layout than bees, which are formally insects. Other insects are more like the bee than spiders. So in this case, it matters that spiders are not in fact
9.
by WhyIsItAlwaysHN 2mo ago
Spiders are not insects though https://www.burkemuseum.org/collections-and-research/biology...
10.
by WhyIsItAlwaysHN 2mo ago
Awesome work, the detector seems accurate on a bunch of texts I tried, surprisingly even human/ai hybrid texts
11.
by WhyIsItAlwaysHN 3mo ago
AI companies are trying to mechanize skill and knowledge and to own the infrastructure around it. If they succeed, your suggestion does not work. Even if they can't succeed, they will try because that's the most obvious path to ma
12.
by WhyIsItAlwaysHN 3mo ago
What I meant is that nefariousness from people is not a prerequisite. It's a machine that wants to maximize all profit and all the evil is a natural product. If you magically put saints in charge they would be eaten and replaced by the
13.
by WhyIsItAlwaysHN 3mo ago
There is no nefariousness in owning all the means of production, it's the endgame of maximizing profit. However the result is exactly the same, concentration of power.
14.
by WhyIsItAlwaysHN 3mo ago
If you own 6 houses, you don't only have an income the size of a full-time job but also make money out of the appreciation of property prices. Couldn't you and your immediate family retire by just selling these 6 houses? Or is the
15.
Ask HN: Specialization to stay relevant in the age of AI
2 points by WhyIsItAlwaysHN 3mo ago|0 comments
16.
Ask HN: Can you stay relevant against AI via specialization
2 points by WhyIsItAlwaysHN 3mo ago|2 comments
17.
by WhyIsItAlwaysHN 3mo ago
Language barrier (bulldozer is used as a placeholder in my native language) , I should have said heavy machinery
18.
by WhyIsItAlwaysHN 3mo ago
Consider using agent mode for some things, you are definitely missing out. The analogy I've had for myself is that it feels like using a bulldozer to dig rather than a shovel. If you use it to dig archaeological artifacts, it can make
19.
by WhyIsItAlwaysHN 3mo ago
Maybe you can support schemas in more dialects by using a similar approach to a little tool I made: sqlscope.netlify.app Basically integrate sqlglot to translate the schema between dialects and then use a base dialect for generating the sch
20.
by WhyIsItAlwaysHN 3mo ago
Well it still looks suspicious if a user creates 50 PRs in one go. So you would close them automatically. As for well-documented, the reviewer can decide that when they are reviewing the smaller PR. Nobody said volume is not a problem, but
21.
by WhyIsItAlwaysHN 3mo ago
They could make two kinds of pull requests and add much more strict criteria for public contributions. For example, they could say that the PR has to be smaller in size and well-documented for human review, otherwise it's closed by an
22.
by WhyIsItAlwaysHN 4mo ago
"Social engineering is all you need"
23.
by WhyIsItAlwaysHN 4mo ago
That's an interesting interpretation of open source.
24.
by WhyIsItAlwaysHN 4mo ago
The article states that the particular item is a clear sign of fraud. If that was true, then it should be treated in a special manner. A more paranoid bank could enforce it without adhering to this guidance of multi-factor detection. It isn
25.
by WhyIsItAlwaysHN 4mo ago
Exactly, hopefully this is not an autoblock in the future.
26.
by WhyIsItAlwaysHN 5mo ago
Tolls, revenue taxes, ever stricter rules that cause tickets despite technology getting better.
27.
by WhyIsItAlwaysHN 5mo ago
My experience was with building a new computer. I had gotten all of the parts needed to completely upgrade my pc, keeping only the case.After installing all of them, the computer refused to boot and just showed a generic error with a blinki
28.
by WhyIsItAlwaysHN 5mo ago
Maybe this is an unpopular opinion, but this seems to just create the search string in the url, aka youtube search already supports these features. If people were really looking for exact title search they could write "term". It i
29.
by WhyIsItAlwaysHN 6mo ago
This result sounds very unsurprising at this point of having models that can reliably use tools. Some part of RL training must focus on the length of responses. I would also guess that Anthropic and OpenAI have an incentive to optimize resp
30.
by WhyIsItAlwaysHN 7mo ago
Location: Copenhagen, Denmark (UTC+1) Remote: Yes (Europe timezones) Willing to relocate: No Role: UX Researcher Experience: 3+ years Email: rvbceilx0@mozmail.com I research how people actually use AI products — then make them better. Cogn

More ›