loveparade

19 ms·

1.
by loveparade 5d ago
If you could easily benchmark the quality of code then models would be trained on these benchmarks/metrics.
2.
by loveparade 6d ago
I have been quite disappointed with Astra. I switched over a week ago and I didn't notice a massive difference compared to Sol at first, but I figured I'd use it anyway because it surely can't be worse. Then I saw the bill, i
3.
by loveparade 24d ago
Horrible advice. This may have been good advice 10 years ago, but not today. There are no positions for people who "kind of understand how toy LLMs work" because so many engineers do these days. Most of the real LLM optimization w
4.
by loveparade 25d ago
I built my own pipeline for this because in my experience the YouTube auto transcripts are quite bad. I download the raw audio track with yt-dlp, give it to qwen asr for raw transcription, then DeepSeek flash for transcription cleanup, form
5.
by loveparade 1mo ago
You can do remote control / handoff with it, i.e. start on desktop and move to mobile. doesn't work with the cli
6.
by loveparade 1mo ago
I don't think it's about YC specifically, more about VC-driven enshittification of open source software in general.
7.
by loveparade 1mo ago
Oh no, I was using it. What's a good replacement? Guess I'll go back to tmux.
8.
by loveparade 2mo ago
> And while the agent works, I continue taking my notes of what I'm doing, what's next, what the design/architecture needs to evolve to do and so on. That is still context switching for me. I do the same. While the agent w
9.
by loveparade 2mo ago
Exactly. It matters that you enjoy working with your tools. Even if they don't make you 10x more productive, focusing on what you're working on and enjoying the process is the most important part. Especially in the age of LLMs I t
10.
by loveparade 2mo ago
I'm sorry but I am still confused. What specifically does herdr give me over tmux? "It is designed for agents" is just marketing speech, it means nothing. Ok, it has mouse support, fine, I don't care about that one but I
11.
by loveparade 2mo ago
I don't understand herdr, can you explain it to me? I've tried it, but I don't understand what it gives me over tmux other than the agent sidebar. But people seem excited about it so I feel like I am missing something.
12.
by loveparade 2mo ago
I don't know what I am looking at but it is fabulous.
13.
by loveparade 3mo ago
Fair point, I was more trying to make a statement about the amount of training data available, not the "difficulty" of the task. I just used Tailwind as an example because it is so ubiquitous with so much training data for LLMs to
14.
by loveparade 3mo ago
Used by Anthropic to sell tokens
15.
by loveparade 3mo ago
These studies are meaningless because speedup is heavily dependent on the kind of work you're doing. No doubt that you can do mechanical refactors 100x faster with AI, and also no doubt that using AI will be slower for tasks where it&#
16.
by loveparade 4mo ago
Senior people get away with it because they understand the impact of their changes since they are intimately familiar with all the systems. So they know that their crappy shortcut doesn't break anything. A junior employee doesn't
17.
by loveparade 4mo ago
ai generated slop
18.
by loveparade 4mo ago
> If you used the same architecture as GPT2 today you're in for a bad time training a new frontier model. It's only because we have dozens of breakthroughs What exactly are these dozens of breakthroughs? Most frontier models a
19.
by loveparade 5mo ago
The more AI-generated AI bad stories we get the more likely LLMs will produce more!
20.
by loveparade 5mo ago
I haven't had a drink in 6 months or so. Not because I wanted to stop, I just have not had the desire to drink recently. Now I would love to tell you about all the amazing magical healthy benefits that have come with that, but unfortun
21.
by loveparade 5mo ago
Doesn't matter who reads it. The point is that you will probably never learn to do "high level system design" well if you do not have enough experience writing and refactoring code yourself. It's like you wanting to beco
22.
by loveparade 5mo ago
I give it one to two more years before open source models have fully caught up. Products are commodities and models are commodities too. GPUs cores are still hard to get for inference at scale right now. They need a platform with lock in bu
23.
by loveparade 5mo ago
Good lucking getting GPUs.
24.
by loveparade 5mo ago
Not really, when OpenAI was formed in 2015 there were no LLMs, at least none that worked well. It was a regular AI research lab mostly doing Reinforcement Learning on game environments like Atari similar to DeepMind. Once they struck gold w
25.
by loveparade 5mo ago
I watched the video but I don't quite get it. I feel like I'm missing something? A nicer git workflow is not what I need because I can ask an LLM to fix my git state and branches. This feels a bit backwards. LLMs are already great
26.
by loveparade 5mo ago
Yeah, it looks like a model issue to me. If the harness had a (semi-)deterministic bug and the model was robust to such mix-ups we'd see this behavior much more frequently. It looks like the model just starts getting confused depending
27.
by loveparade 5mo ago
For me the reason to add dependencies to my projects is exactly because they are maintained upstream and I don't need to worry about maintaining them myself. If I need to fork and maintain it myself I'd rather write my own version
28.
by loveparade 5mo ago
Understandable, I'd probably do the same in his position. Still sucks, we've seen this pattern a thousands times before and what happens next is pretty obvious. I was prototyping something with pi under the hood for a personal pro
29.
by loveparade 5mo ago
Are you sure they are not just refusing to solve your UI bug due to safety concerns? They may be worried you'll take over the world once your UX becomes too good.
30.
by loveparade 5mo ago
It really seems it's mostly AI comments on this. Maybe this topic is attractive to all the bots.

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