Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
razodactyl
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
12 ms
·
91.
▲
A Lack of Corporate Focus
(windowslatest.com)
4 points
by
razodactyl
9mo ago
|
3 comments
92.
▲
by
razodactyl
9mo ago
> Windows needs to go back to the drawing board and Microsoft should bring back the testers it fired years ago, and focus solely on fixing bugs, UI issues and performance concerns.
93.
▲
by
razodactyl
9mo ago
Vendor lock-in. Next.js is great until it's not.
94.
▲
The Dionne Quintuplets
(en.wikipedia.org)
4 points
by
razodactyl
9mo ago
|
1 comments
95.
▲
Disqus but Using GitHub. Cool Idea
(giscus.app)
2 points
by
razodactyl
9mo ago
|
0 comments
96.
▲
Writing a Program in Par [video]
(youtube.com)
2 points
by
razodactyl
9mo ago
|
0 comments
97.
▲
IBM Advanced Business Institute
(youtube.com)
2 points
by
razodactyl
9mo ago
|
0 comments
98.
▲
Why is politics so creepy [video]
(youtube.com)
3 points
by
razodactyl
10mo ago
|
0 comments
99.
▲
by
razodactyl
10mo ago
We never hear what the actual questions are. I reckon it's Claude being great at coding in general and GPT being good at niche cases. "Spikey intelligence"
100.
▲
by
razodactyl
10mo ago
There was a very negative "immune" response from the users when they perceived suggestions from ChatGPT as ads. This will be hard for them to integrate in a way that won't annoy users / will be better implemented than an
101.
▲
by
razodactyl
10mo ago
Think about it in terms of the research they put out into the ether though. The research grows into something viable, they sit back and watch the response and move when it makes sense. It's like that old concept of saying something wro
102.
▲
by
razodactyl
10mo ago
https://en.wikipedia.org/wiki/Rent-seeking TIL
103.
▲
by
razodactyl
10mo ago
I appreciate the critical aspect of this comment. We definitely need more of it in society especially when we're inundated with low-quality data. Unfortunately, the negative commentary self-perpetuates a toxic community culture that wo
104.
▲
Ask HN: The AGI Race That Might Not Be a Race
1 points
by
razodactyl
10mo ago
|
0 comments
105.
▲
by
razodactyl
11mo ago
"Who acquires Warner Bros. Wtf" - comments heard over my shoulder as I mention the title of this post.
106.
▲
by
razodactyl
11mo ago
Absolutely Tom and all of the HN community! I've been reading HN for a very long time now and it has brought years of joy, intellectual curiosity, news and learnings. Your comments have been most salient in my random reads through the
107.
▲
Tell HN: Wanted to give dang appreciation
68 points
by
razodactyl
11mo ago
|
5 comments
108.
▲
by
razodactyl
11mo ago
More flow-states, less distractions, pure intellectual drive to know the unknown. You're all still capable of it.
109.
▲
New BoM Site Totalled $96M
(smh.com.au)
5 points
by
razodactyl
11mo ago
|
1 comments
110.
▲
by
razodactyl
11mo ago
These days not so much of a problem because the libraries now exist? Haha
111.
▲
by
razodactyl
11mo ago
I was waiting for this post. Love the pivot in pelican generation bench.
112.
▲
Someone found the issue with Claude Code flickering
(github.com)
3 points
by
razodactyl
1y ago
|
0 comments
113.
▲
Where are all new Laravel/PHP devs?
(youtube.com)
1 points
by
razodactyl
1y ago
|
0 comments
114.
▲
by
razodactyl
1y ago
AWS, now Azure - wasn't this a plot point in Terminator where SkyNet was causing computer systems to have issues much before it finally become self-aware? Funnily enough, AI has been training on its own data as generated by users writi
115.
▲
by
razodactyl
1y ago
https://xkcd.com/538/ LOOK AT IT
116.
▲
by
razodactyl
1y ago
Bad take. It's not that it's hard for everyone - there's critical pushback because we don't know for certain if LLM technology can or cannot do the task in question. Which is the reason there's a paper being discuss
117.
▲
by
razodactyl
1y ago
It seems to be the conclusion that we come to though, we ourselves use tools. The focus here is the LLM being able to do it unaided. The space of all combinations of steps is so large for many problems that require precision and usually one
118.
▲
by
razodactyl
1y ago
Well mostly but they can generate more state that can push old state out of context. If an LLM were sufficiently trained to be able to roll-forward and correctly set the current state of some registers written into the conversation..? I wou
119.
▲
by
razodactyl
1y ago
But test-time inference leads to better data to train better models that can generate better test-time inference data. There's an obvious trend going on here, of course we're still just growing these systems and going with whateve
120.
▲
by
razodactyl
1y ago
The feedback from compilation tools / linters fed into the training loops is an example of this. What we end up with however is a model good at coding for example but bad at something else. And without enough general coding, good at on
More ›