Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
freakynit
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
8 ms
·
181.
▲
by
freakynit
3mo ago
Update: Added UMAP... this is so freaking cool.. thanks for suggesting. It's on the insights page: https://hn-buddies.stupidlabs.lol/insights under "Author Map" heading.
182.
▲
by
freakynit
3mo ago
These seem fun to explore. Will definitely check out. Thanks!
183.
▲
by
freakynit
3mo ago
Yea.. even if not wrong, it's definitely not correct. Couldn't think of any other, so, sticked to it for now.
184.
▲
by
freakynit
3mo ago
Thanks for the UMAP suggestion. Will add. Most of the authors are actually missing. Full processing would have yielded multi-trillion row dataset. I didn't rally have that kind of compute with me. I have even tried running the cross-jo
185.
▲
by
freakynit
3mo ago
Thank you. This has been in my mind for past 1 year. Wanted to do it using vector embedding similarity match, but due to costs and compute requirements, had to resort to keyword based. The data comes from daily-updated public BigQuery datas
186.
▲
Show HN: Hacker-News Buddies
6 points
by
freakynit
3mo ago
|
10 comments
187.
▲
Show HN: HTTPS://HN-Jobs.com
(hn-jobs.com)
2 points
by
freakynit
3mo ago
|
0 comments
188.
▲
by
freakynit
3mo ago
We may not see it yet, but, this is a way to capture government and use that to suppress competition and any dissent. The moment the government owns equity, every regulatory decision becomes conflicted. The top 3-4 AI companies in whic the
189.
▲
by
freakynit
3mo ago
Might be weird, but, I have heard this "2012" reference many many times when things started to change (for worse), and then "2020" when it all started to go downhill with an ever-accelerating pace. Very consistently thes
190.
▲
by
freakynit
4mo ago
Meme context: https://x.com/BrunoCendon/status/1926883516890898637
191.
▲
by
freakynit
4mo ago
80B + INT4 + speculative (FP8 mode) => 72,188 tokens/s effective ..da fck!!
192.
▲
by
freakynit
4mo ago
Same.. although rare, but have observed twice till date. Some blog post I read few weeks back said that DSV4Flash in xHigh effort beats even the pro model in xHigh effort.
193.
▲
by
freakynit
4mo ago
Recently read about some upcoming GPU chip vendor that speeds up multiply-and-add (the core of [pretty much any neural network, including LLM's) oepration by transforming them to log scale where the multiplication changes to addition.
194.
▲
by
freakynit
4mo ago
Just tried. Bare minimal and does exactly what's needed and nothing else. Love it. Thanks..
195.
▲
by
freakynit
4mo ago
You could produce a completely fcked up model using AI, and also a completely awesome one using AI. So, the "overstating capabilities" part really have nothing to do with this discussion. As for the claim part around AI being used
196.
▲
by
freakynit
4mo ago
You do realize this statement about "overstating model capabilities" has nothing to do with AI assisted AI development, right?
197.
▲
by
freakynit
4mo ago
"Assisting", not "one-shotting", a better model.
198.
▲
by
freakynit
4mo ago
What part?
199.
▲
by
freakynit
4mo ago
Read Anthropic's own blog post released sometime around last week.
200.
▲
by
freakynit
4mo ago
Nothing new in that. Everyone pays to someone or the other to make their own product/life better. Most of the times these products do not compete, sometimes, they do. How many times you believe duckduckgo would have google'd stuff
201.
▲
by
freakynit
4mo ago
These frontier models are now good enough that they can assist heavily with new optimizations for future models, including, code them. Restricting their usage to a few companies takes away that advantage away from other companies, thereby,
202.
▲
by
freakynit
4mo ago
Simple vector search + keywords + bm25 + text match + RRF. We specifically avoided graph construction due to associated costs. Everything is in just one sqlite file. Works fine for up to a few million document chunks.
203.
▲
by
freakynit
4mo ago
"To confuse your enemy, you must first confuse yourself" - Some reddit guy
204.
▲
by
freakynit
4mo ago
Would it be comparatively easy to make neuromorphic chips instead of traditional chips? I believe probabilistic algorithms like those employed by LLM's must be more tolerable to working with defects as well..?
205.
▲
by
freakynit
4mo ago
Thanks.. just looked it up. Seems super interesting.
206.
▲
by
freakynit
4mo ago
Man... I had to chatgpt your comment just to understand. But I do now. Basically, unlike current chip manufacturing process where every stage is deterministic and precise, the soup-world, the chemistry, is not. And we do not have accurate e
207.
▲
by
freakynit
4mo ago
Bacteria do that at scale, far far bigger than all chips combined. All it takes is chemical soup and a few starter seed dna's.
208.
▲
by
freakynit
4mo ago
This may be extreme, or, completely stupid, but, why are we not using genetics to "grow" chips in a chemical soup yet? Similar to Verilog/VHDL, don't we have some similar language to express circuits using gene sequences
209.
▲
by
freakynit
4mo ago
Damn!! I just tried a few links from navbar... all loaded in an instant like they have already been cached, even though they were not (since I use firefox in full private mode, and haven't visited their site in like months before today
210.
▲
Is Trump-Netanyahu Rift on the Cards?
(trump-netanyahu-rift.pagey.site)
3 points
by
freakynit
4mo ago
|
1 comments
More ›