Recent submissions

Comment · 10 days ago
Comment · 1 year ago
two weeks ago I started heavily using Codex (I have 20y+ dev xp).

At first I was very enthusiastic and thought Codex is helping me multiplex myself. But you actually spend so much time trying to explain Codex the most obvious things and it gets them wrong all the time in some kind of nuanced way that in the end you spend more time doing things via Codex than by hand.

So I also dialed back Codex usage and got back to doing many more things by hand again because its just so much faster and much more predictable time-wise.

Comment · 1 year ago
Comment · 1 year ago
Welcome to MCP hosting space guys. We’ve also been hosting MCPs since early Feb in https://supermachine.ai and investing a lot into open-source (see https://github.com/supercorp-ai/supergateway and many others).

Guess there’s gonna be more competition haha (but don’t worry, I think our approaches are a bit different).

Comment · 1 year ago
Comment · 1 year ago
Met the guys in sf, the concept is great, can we really build o1-type of models with this? Congratulations on the launch.
Comment · 1 year ago
Met with the Humiris MoAI team in sf, they are onto something cool
Comment · 2 years ago
Yeah, I do both in prod and in the lib. In the lib I even ported Anthropics streaming API to be OpenAI compatible. Will write the docs over the coming days if interested.
Comment · 2 years ago
Assistants API use in prod used to suck because it would send full convo on each message. But last month they added an option to send truncted history so its no longer 2$ a pop thankfully. Also Grok, Haiku and Mistral is cheap
Comment · 2 years ago
Comment · 6 years ago
Hi HN! Started working with more text models in PyTorch, experimented with LSTMs and found most of the tutorials terribly outdated. So figured out whats the most modern best practices there (until next version of torchtext comes) and wanted to share. Do anybody use LSTMs at work or are most of the people on BERTs?

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