cheeseblubber

5 ms·

1.
New results in square packing problem by a hobbyist(github.com)
11 points by cheeseblubber 8d ago|3 comments
2.
by cheeseblubber 2mo ago
Related: https://news.ycombinator.com/item?id=49020999
3.
Breaking Down $1.65T of Big Tech AI Spending (Not Debt)(finterm.ai)
3 points by cheeseblubber 2mo ago|1 comments
4.
Show HN: Finterm.ai Bloomberg terminal for Claude Code(finterm.ai)
6 points by cheeseblubber 2mo ago|0 comments
5.
by cheeseblubber 3mo ago
Anecdotally the site we manage we are easily seeing 100x the traffic from bots than from humans in the past year. So much so that it is impacting our hosting costs.
6.
by cheeseblubber 5mo ago
My problem with the article is that they don't even mention this fact. The metaphors with Uber often is brought up but it breaks down at cost optimization. It also wouldn't be fair to say we are at the peak efficiency of LLMs and
7.
by cheeseblubber 5mo ago
It make sense if you account for cost of intelligence getting cheaper every year. Most of the models per unit of intelligence is getting far cheaper. We get better hardware, architecture, training techniques, inference optimizations and cac
8.
by cheeseblubber 7mo ago
The human brain also is a product of billions of years of evolution. We branched off from our common ancestor 7-9 million years ago. We encode quite a lot of structure and information that is essential for intelligence. The starting point o
9.
by cheeseblubber 10mo ago
Yes definitely we were using our own budget and out of our own pocket and these model runs were getting expensive. Claude costed us around 200-300 dollars a 8 month run for example. We want to scale it and get more statistically significant
10.
by cheeseblubber 10mo ago
Via api you can turn off websearch internally. We provided all the models with their own custom tools that only provided data up to the date of the backtest.
11.
by cheeseblubber 10mo ago
We used the LLMs API and provided custom tools like a stock ticker tool that only gave stock price information for that date of backtest for the model. We did this for news apis, technical indicator apis etc. It took quite a long time to ma
12.
by cheeseblubber 10mo ago
You can click in to the chart and see the conversation as well as for each trade what was the reasoning it gave for it
13.
by cheeseblubber 10mo ago
OP here. We realized there are a ton of limitations with backtest and paper money but still wanted to do this experiment and share the results. By no means is this statistically significant on whether or not these models can beat the market
14.
We gave 5 LLMs $100K to trade stocks for 8 months(aitradearena.com)
398 points by cheeseblubber 10mo ago|307 comments
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by cheeseblubber 10mo ago
There is a transcript of the entire conversation if you scroll down a little
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by cheeseblubber 11mo ago
Made a site that let's LLMs trade stocks and you can watch their performance https://www.aitradearena.com/
17.
Slack backups - Linen.dev(linen.dev)
2 points by cheeseblubber 1y ago|0 comments
18.
Show HN: Releasepages.dev make release pages from Git commits(releasepages.dev)
1 points by cheeseblubber 1y ago|0 comments
19.
Show HN: Releasepages.dev turn your commits to release pages
1 points by cheeseblubber 1y ago|0 comments
20.
Show HN: Karl an AI Accountability Buddy
1 points by cheeseblubber 2y ago|1 comments
21.
Building an anime colorizer – Part 1(kamleung.dev)
3 points by cheeseblubber 2y ago|0 comments
22.
Show HN: Karl – A virtual friend you can text
10 points by cheeseblubber 2y ago|0 comments
23.
by cheeseblubber 2y ago
Would be cool to see the Quetzal website internationalized itself and see what it looks like in different languages.
24.
by cheeseblubber 3y ago
! basically functions like @ in Slack and chat applications. The only difference in Linen is that we give you an @mention so that it doesn't necessarily need to send a push.
25.
by cheeseblubber 3y ago
We actually tried shipping a desktop client with Tauri and Rust. It helped with initial bundle size but performance and resource consumption was kind of similar. We also ran in to issues with the api’s being bit limiting. Most likely we’ll
26.
by cheeseblubber 3y ago
Thanks! Linen is secretly email in disguise. We have played around with syncing with email clients which would let you manage all your messages and notifications from one client.
27.
by cheeseblubber 3y ago
We've actually done test on scaling. This is a fork of Linen.dev which had community of up to 50k members. So we've tested this well. Search is an on going feature we are working on. We're going to enhance it with more embedd
28.
by cheeseblubber 3y ago
We use Elixir for websocket/real-time updates but crud stuff like settings, creating channels etc are mostly rest.
29.
by cheeseblubber 3y ago
Definitely agree on developer community and third party integrations. That is our main focus after this launch. Building just a good quality chat tool took quite a bit of time but we understand how important the dev ecosystem is. Thanks for
30.
by cheeseblubber 3y ago
One of the pain point I've actually seen for Slack is Slack Connect becomes disorganized very quickly to the point where you need a custom solution to manage it. I think it is a symptom of the overall problem with Slack. Since Linen is

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