Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
xpct
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
6 ms
·
61.
▲
by
xpct
2mo ago
Being trendy by itself feeds the trend. Also, likely, data.
62.
▲
by
xpct
2mo ago
Since colors are an activation of rods and cones, could we simulate them by stimulating the eye nerves directly? Not necessarily to see new colors, but to replicate the experience of sight? If we managed that, wouldn't it feel exactly
63.
▲
by
xpct
2mo ago
I envy your enthusiasm. I sincerely enjoyed being proficient at something that was hard to replace, and still feel pride for it. There's still avenues like that, but they've grown thinner and it's not as one-sided. I'm s
64.
▲
by
xpct
2mo ago
Thank you for sharing. I hope your bug-hunting goes well.
65.
▲
by
xpct
2mo ago
Wow, thank you for your input! The "alternation" proxy for difficulty is fascinating to me, doesn't feel like something I would have thought of right away. And, I guess I wasn't aware of how much thought goes into design
66.
▲
by
xpct
2mo ago
Hmm. The push representation makes sense because solve progress is entirely dependent on it. And the movement state tree can be reduced to the push tree, which would only prune useless paths. The push tree can probably also be pruned for mo
67.
▲
by
xpct
2mo ago
Thanks. Given a solver, could we extrapolate a problem's branching factor? For classic Sokoban, I'd guess it's on the lower side?
68.
▲
by
xpct
2mo ago
Got me curious: is there some way to approximate solvability of a puzzle in a certain time frame, or is that completely intractable? Also, what counts as "complexity" in Sokoban puzzles. Does it plateau at a point, where board siz
69.
▲
by
xpct
2mo ago
I'd say about a third of software engineers whose blogs I stumble upon and end up liking aren't active on twitter. Their accounts typically have nothing posted for 3-4 years, but they're active on bluesky or mastodon.
70.
▲
by
xpct
2mo ago
Well, let's not normalize bad product design. Worse, let's not normalize pushing out broken projects that never get maintained. It's noise and breaks trust. I'd say the maintenance part is especially bad now, I hold very
71.
▲
by
xpct
2mo ago
Sure, I completely understand that UI has different needs from a sim's perspective. Given that I haven't tried a sub sim before, I have yours bookmarked to try out :)
72.
▲
by
xpct
2mo ago
Not OP. I can't claim whether it's AI or not, just why it could possibly raise such concerns. I think the UI elements and layout look very similar to how LLMs like to create them. It's hard to describe, but something about th
73.
▲
by
xpct
2mo ago
Ah I've been doing handoff manually by asking the model to do it. If Claude's handoff includes better context than its summaries, it's probably worth checking out.
74.
▲
by
xpct
2mo ago
I think the frequency view is true, but a bit over-simplified. We can force certain output features to be true on tasks where the output is directly measurable, e.g. code compiles, lean proof is valid, benchmarking CUDA. I think we can at l
75.
▲
by
xpct
2mo ago
AI has a frozen in time interest, of whatever bias it was trained with. We see this with politics, where every model has the same views.
76.
▲
by
xpct
2mo ago
I believe they would still be called generalists.
77.
▲
by
xpct
2mo ago
Okay, let's take it seriously. What do you propose? What can your average person do to prepare for RSI beyond bracing themselves mentally?
78.
▲
by
xpct
2mo ago
I think that's a reasonable view. Though I personally see LLMs more as replacers, not as tools to utilize.
79.
▲
by
xpct
2mo ago
This was common before LLMs as well. Instead of googling, they ask you, then you google in front of them and show them how easy it was to figure out. At least in my experience, they learn to google by themselves eventually, but there is som
80.
▲
by
xpct
2mo ago
Maybe they have it but simply don't use it.
81.
▲
by
xpct
2mo ago
I think it depends on what type of cognition you want to stimulate. It's probably useful to familiarize yourself with a suite of API calls, or get a big picture view of how an algorithm runs.
82.
▲
by
xpct
2mo ago
I'd say as long as we can clearly see the 5% are working better than an LLM, why not strive for it? Shows what humans are capable of, and it's probably achievable to most. I'm not hanging my hat yet and can still see where LL
83.
▲
by
xpct
2mo ago
The only charitable interpretation of the hyper-personalization take I can give, is that you would want to see content that elicited a certain type of emotion inside you (so, a very high-level description). Now, whether this would be at all
84.
▲
by
xpct
2mo ago
This one will be so deeply engrained in the model that no data cutoff will let it reimagine it. Though I suppose our human minds are 'poisoned' with the same image.
85.
▲
by
xpct
2mo ago
I've been interpreting AI task solving capabilities as a search problem: being smarter lets us prune more of the tree and try out different things more efficiently. I think this fits into the sphere analogy quite well: at the limit, we
86.
▲
by
xpct
2mo ago
That's a scary notion: what happens when the money claiming that AI writing is good, surpasses the one claiming otherwise?
87.
▲
by
xpct
2mo ago
Oh, I didn't even consider this. Now that you mentioned it, I wouldn't be surprised if the stochasticity is intentional so users don't treat it as deterministic, and the company is allowed to continuously update the model (or
88.
▲
by
xpct
2mo ago
I think the main takeaway from the LLM Agent era is that a lot of human work can be expressed as a search problem: trying approaches that work, and settling on one that accomplishes your goal. Being skilled is akin to having a better heuris
89.
▲
by
xpct
2mo ago
I wanted to respond with something of substance (I still don't understand if it was a paraphrase or not) but every reply here is a meta reply, so hello to all fellow meta reply guys.
90.
▲
by
xpct
2mo ago
Looks very similar to the GPU game https://jaso1024.com/mvidia/
More ›