ansonhw

5 ms·

1.
by ansonhw 11mo ago
chatsheet.com no embeddings yet, but soon
2.
by ansonhw 1y ago
Ya this is nice that it’s infra agnostic instead of requiring tons of dependencies.
3.
by ansonhw 1y ago
down again for me
4.
by ansonhw 1y ago
not sure why i didn't see any status updates
5.
by ansonhw 1y ago
was down (messages not going through) for me, then web was ok, then all went down, now back up
6.
by ansonhw 1y ago
excited for this to run sandboxes
7.
by ansonhw 1y ago
we're working on this at chatsheet.com what features are you looking for?
8.
by ansonhw 1y ago
Agree that's what we're trying to do at chatsheet.com Program in "plain english" but as powerful as writing code
9.
by ansonhw 2y ago
i stopped manually updating airtable and excel. all doc/web/pdf flows auto update.
10.
by ansonhw 2y ago
Doesn't this mean 45% of workers already do use AI chatbots? Glass half full vs empty
11.
by ansonhw 2y ago
Save Worker 17 o7
12.
by ansonhw 2y ago
tech world: rag, llm, prompting, agents, bla bla normies: chatgpt
13.
by ansonhw 2y ago
Hmm i'll check out the pagerank stuff, IMO RAG isn't super great. I think RAG overall has been oversold since embeddings KNN hasn't proven to be super accurate.
14.
by ansonhw 2y ago
Go is the best for scale out, concurrent agents
15.
by ansonhw 2y ago
Gemini
16.
by ansonhw 2y ago
Hmm i think the issue with any large data set is indexing + querying. At https://usefind.ai/ this is a fundamental problem we've been trying to tackle. What kind of structure do you think would work?
17.
by ansonhw 2y ago
I'm confused why search + LLM wouldn't work for this?
18.
by ansonhw 2y ago
NGMI
19.
by ansonhw 2y ago
I agree actually that chat is overrated overall as UX. It works really well for chatgpt but creates the wrong ux expectations for users where more precision or constraint is needed. Also not good for large processing. It was magic though fo
20.
by ansonhw 2y ago
Does it support pgvector over weaviate?
21.
by ansonhw 2y ago
why is bill gates so obsessed with bringing back clippy
22.
by ansonhw 2y ago
Check the screenshot below re: training on OpenAI Outputs. They've fixed this since btw, but it's pretty obvious they used OpenAI outputs to train. I mean all the Open AI "mini" models are trained the same way. Hot take
23.
by ansonhw 2y ago
Feedback -> paying Scale AI to babysit/label tons of these sessions. It will just be like the post training that turned GPT3 into the original ChatGPT.
24.
by ansonhw 2y ago
When: 1/ More accurate + less supervision 2/ Faster 3/ Background + Parallel Will be the magic moment. Currently like supervising a grandparent using the web. But there's huge potential if ^^^ happens. Could see it being
25.
by ansonhw 2y ago
sick
26.
by ansonhw 2y ago
good batching and tensor parallelization prob
27.
by ansonhw 2y ago
Hope not - we just rewrote our entire stack w Go . We're massive fans of it.
28.
Find AI v3 – Perplexity Meets LinkedIn (1B+ Profiles) + New API(usefind.ai)
6 points by ansonhw 2y ago|1 comments
29.
by ansonhw 2y ago
Earlier this year, we launched Find AI v1: https://news.ycombinator.com/item?id=40801494 . It was a tool for searching LinkedIn-style data with natural language queries. It worked well for tech-focused searches, but the datas
30.
Spare H100 HGX’s Available to Rent
13 points by ansonhw 3y ago|0 comments

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