gbalduzzi

6 ms·

1.
by gbalduzzi 5d ago
I think in many cases the authors value functionality much more then esthetics. Which is a bummer because it is a complete different point of view from the more typical user experience
2.
by gbalduzzi 6d ago
Because we are not there yet and you can't oversee something you don't know
3.
by gbalduzzi 8d ago
I think it is perfectly understood. But we don't feel we are the ones that deteriorated the relationship, we are just reacting to it
4.
by gbalduzzi 8d ago
It doesn't happen overnight, but the adversarial behaviour of the current administration and the tariffs really changed the perspective about America on many Europeans. The discussion about building European alternatives had never been
5.
by gbalduzzi 1mo ago
I started to consider it a show show way earlier than 18 months ago. Jira is so terrible to use that it is hard to phantom how they are able to be paid for their product
6.
by gbalduzzi 1mo ago
The point is that there aren't many complex tasks were fable delivers a significant value increase over cheaper models. Single prompting a very complex tasks is rare even on frontier models, because it can be done successfully only for
7.
by gbalduzzi 2mo ago
> do we think we're discovering that Chrome had more big holes than we thought or are we raising the security bar by fixing smaller holes? To me the most probable explanation is that they automated a way to find (and fix) existing v
8.
by gbalduzzi 2mo ago
Of course it is just tokens, but the result is the same. If, in the amount of data they ingested, there was a clear pattern of responding in an hasty and carefree way to frenetic questions, LLMs will try more hasty and carefree solutions to
9.
by gbalduzzi 2mo ago
> That's not an advantage for the user at all, is it Of course it is an advantage. I tend to access most of my apps and services from both the PC and the smartphone, having data shared across the two is a deal breaker for the very v
10.
by gbalduzzi 2mo ago
Meta has the option if I'm not mistaken, but my guess is that it is very, very rarely used.
11.
by gbalduzzi 2mo ago
An approach that works really well for me in opencode is to use DeepSeek flash for the code exploration sub agent, and a smarter model for the overall task. Code exploration tends to burn a ton of tokens and do not require frontier knowledg
12.
by gbalduzzi 2mo ago
It depends whether your goal is to hire for specific knowledge (hence specific questions) or for overall mindset and abilities (hence broader questions where you are able to extract the way a person thinks)
13.
by gbalduzzi 2mo ago
How much was valuable the output you got during the day? Is it at least comparable to the $10k of cost?
14.
by gbalduzzi 2mo ago
You need agents.md and similar for indications about stuff that is not in the code itself. There are plenty of use cases for that, the alternative is have the LLM guess the most probable solution, which may be correct but may also be wrong.
15.
by gbalduzzi 2mo ago
Am I the only one not seeing a point in asking an LLM philosophical questions, especially about themselves?
16.
by gbalduzzi 2mo ago
Didn't Deepseek also publish a lot of research material on how they trained their model? That aspect is probably more important for an open model then the source materials
17.
by gbalduzzi 2mo ago
> But why call them overpriced? Compared to what? Compared to some available Chinese model I guess. For most common tasks the additional intelligence is marginal and the cost is around an order of magnitude higher.
18.
by gbalduzzi 2mo ago
And that is malicious, it is not supposed to happen
19.
by gbalduzzi 2mo ago
But excel cells are not simply text: it is a different format, I don't have specific existing behavior for that. It is very different with plaintext
20.
by gbalduzzi 2mo ago
Exactly. You also open the gates to many edge cases where I don't know what it is supposed to happen. What if I never paste the cut text? Does it stay faded? What if I copy some other text, maybe on another app, before pasting? Do I pa
21.
by gbalduzzi 2mo ago
They ingest so much data that a couple of reddit threads do not move the needle. It is the reinforcement learning that produces more tangible results with less data, but it is something that the AI labs specifically selects and it is not pi
22.
by gbalduzzi 2mo ago
Yeah, very comfortable to use in a conversation. > Yeah if I'm not mistaken the ticketing service is deployed on t56kl-293d1-5gqp7, do you think we should move it to iwi49-oaqq0-492fa?
23.
by gbalduzzi 2mo ago
Did you already know kubernetes, or did you have to learn it for this setup? I believe this is the key difference, because it doesn't make sense to learn such a complicated tool for a simple use case. If you already know it sure, it ma
24.
by gbalduzzi 2mo ago
I wanted to ask the same thing. There are two clearly demarcations both north and south
25.
by gbalduzzi 2mo ago
> Otherwise when you use git blame to get the context of why a line of code was changed, all you see is a useless "fixup" message Isn't this solved if you squash the commits when merging the PR? I personally don't car
26.
by gbalduzzi 2mo ago
If ok for an individual to not understand the whole codebase, it is not ok if no one understands a whole portion of the codebase.
27.
by gbalduzzi 2mo ago
I agree with the copy-pasted slop that you see sometimes, that is probably generated from a short prompt and therefore has no real substance to it. If an article has interesting content (which comes from an human) and the LLM is just used t
28.
by gbalduzzi 2mo ago
If they were training specifically for it the result would be much better
29.
by gbalduzzi 2mo ago
The point in the article that you are not considering is how easy it is to switch to a different model provider right now. You literally change a couple of env variables and you are done, your user experience is basically the same. I can tr
30.
by gbalduzzi 3mo ago
Can you expand on this provide me pointer to research for this? I am not an expert in the fields but it seems very interesting

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