IanCal

5 ms·

61.
by IanCal 1mo ago
> however it's 1.2x to 4x slower than sqlite No? Where are you getting those figures? It feels like you may have pulled that from the 125 and 400 us numbers? > The simple way to fork a sqlite db is just to copy it, but if that is
62.
by IanCal 1mo ago
> You need humans to decide which problems are worth spending time on, and to evaluate which results are important Why?
63.
by IanCal 1mo ago
What about building something from scratch? Or is it the repurposing you like?
64.
by IanCal 1mo ago
My friend said this about diy “If I say I’ll do something I’ll do it. There’s no need to remind me every six months”
65.
by IanCal 1mo ago
Often complaints about it boil down to either not understanding what’s in it, or annoyances that would be solved if sites stopped doing all this shady stuff. “We value your data, our 1644 partners…” yeah you definitely have a value you assi
66.
by IanCal 1mo ago
It is. It’s also often not necessary at all. You can’t do things with people’s data without either getting consent or basically having a good reason to. I like the ICO pages (uk regulator) for explaining a lot of things like this. If I’m sh
67.
by IanCal 1mo ago
It’s the type of rag the article is about however, it’s still very relevant.
68.
by IanCal 1mo ago
They can include the protocol, it’s that regardless of what’s put in there it’ll use https, which is explained with examples both in the following sentences and then in more detail in a linked doc. > For repositories on GitHub, GitLab, a
69.
by IanCal 1mo ago
Drop me an email if you’re after a quote.
70.
by IanCal 1mo ago
Or I could automate it. It’s so much of every post these days.
71.
by IanCal 1mo ago
I expect the complaints would be fewer if it was a smaller thing, or if everyone had their own version rather than it feeling like one company deciding if you should be able to use a large fraction of the internet.
72.
by IanCal 1mo ago
I’m going to write a filter to remove comments that are just bitching about whether something is AI written or not. Seeing “slop” now starts to give me m$ vibes
73.
by IanCal 1mo ago
What’s the problem with that? Seems to make sense to me with the example and it’s important to point out. I’d expect an llm to explain in more detail to be honest.
74.
by IanCal 1mo ago
> RAG is basically good old information retrieval with LLMs doing the querying. No - rag is doing search before you call the llm to give it context from some corpus like your helpdesk articles.
75.
by IanCal 1mo ago
It depends where you are, some areas have very good bus services and other terrible ones. Almost everywhere has been forbidden from having a more centralised approach and so most places are a mash of random companies with very different app
76.
by IanCal 1mo ago
Do both. Instructions help avoid the first pass from making the same mistakes. > Make an agent operate within defined constraints and yell at it when it doesn’t. And tell it what the constraints are.
77.
by IanCal 2mo ago
It’s not hard to get started, it’s a case of adding small amounts of randomness. If you have, say, a long poll then kick off all users due to a deploy or error (or a broadcast message) then you can have a situation where you’ve got a huge c
78.
by IanCal 2mo ago
How do caches work across models? I would have thought that was very model specific - if not I’ve really misunderstood what’s getting cached.
79.
by IanCal 2mo ago
Could you imagine a scenario where from warning to complete evacuation takes more than two days? Evacuating a whole area is a hard task, particularly once you start looking at more complex problems (elderly, prisons, hospitals).
80.
by IanCal 2mo ago
— Spoilers, if you’ve not read this and yet are still reading this comment chain I guess the grooming may start earlier, it’s not really discussed and it’s a bit ambiguous as to when that started > but relents almost immediately, Physica
81.
by IanCal 2mo ago
s/model/engineer
82.
by IanCal 2mo ago
Oh I mean LLMs are the opposite, they’re not the same blind optimisation thing weirdly watching you with no core understanding. They’re great for this kind of thing.
83.
by IanCal 2mo ago
Tbf if I don’t enjoy that aspect and it saves me a day or so per year that I can use for consulting instead it makes sense to do that trade. Two and a half perhaps including taxes.
84.
by IanCal 2mo ago
They didn’t say fibre didnt matter. They disagreed they should care more about fibre than any other.
85.
by IanCal 2mo ago
Recommendation algorithms are, frankly, weird as a user. Something watches your tiny interactions and, with zero concept of anything happening, gets surprisingly good at predicting your next interactions. It’d be like eating and having an a
86.
by IanCal 2mo ago
I think you’re right, my base assumption is that the models can code and can fix bugs, and can code more in parallel and faster than humans at a lower cost. If Google are tackling lower value bugs with AI the number is in a way inflated com
87.
by IanCal 2mo ago
This is the research taste part - often they can be good but human experts are really good at this (also you know your codebase, without the prompt these models have no other background). Then being able to suggest several things to try and
88.
by IanCal 2mo ago
I can say a portrait doesn’t look like a person even if I can’t do better, googles product range is an absolute mess and using it is a nightmare - I don’t know how to fix the company but I know the outcome is bad.
89.
by IanCal 2mo ago
What’s it a prediction of?
90.
by IanCal 2mo ago
The question of agency and the question of income are different. The former - we do things manually that can be automated for fun all the time and make entirely arbitrary weird things to do for no value. However some find it hard to move fr

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