Recent submissions

Comment · 1 year ago
Here's a great piece from Ian Bogost in The Atlantic on this topic (gift link): https://www.theatlantic.com/technology/archive/2015/11/progr...

(Please focus on his discussion of PE licensure, not on what developers should call themselves)

He says some software can be designed in our usual way: informal, fast, iterative, democratized, agile. But more and more software needs to be designed like a PE designing a public bridge: carefully, to stand strong for 100 years.

Comment · 1 year ago
This is a fun little set of commands to run live-captioning on my Macbook! Nothing serious.

A tutorial and demo video are in the link.

I saw a post on HN that introduced me to Whisper.cpp. I’ve been excited to see so many AI tools start to support my M3 Macbook/Metal/whatever so I can put my 96GB of memory to use.

I don’t have the timing windows tuned perfectly. Feel free to play with it!

Comment · 1 year ago
Here is how my prompt ended up! https://gist.github.com/hbradio/2f504c3fdb6f7113181b2d8c6862... I just asked an LLM to make it similar to a working Qwen prompt.

To make the LLMs able to use tools, I had to configure them in the Zed settings like this: https://gist.github.com/hbradio/fa4b456658a8d250e6ccc69ae9b3...

Also, I had to go into LM Studio and increase the max context size for each model I wanted to use in Zed. Otherwise it gives a parsing error on the response. I set it to the max allowable value.

I start LM Studio, start the LM Studio server, then go to Zeds AI config and tell it to connect to LM Studio. I put it in Agent mode, and it seems to work!

I don't know much about temperature, and I didn't use any other system prompt.

Good luck!

Comment · 1 year ago
Thanks so much for this! I updated LM Studio, and it picked up the mlx-lm update required. After a small tweak to tool-calling in the prompt, it works great with Zed!
Comment · 1 year ago
Comment · 1 year ago
Comment · 1 year ago
OP here -- thanks for your reply! You're exactly right! I included the NYT/PolitiFact graph at the top as an example of that problem. In the second half of the post, I propose what I think could work a little better (sampling comparable speeches and fact-checking the entire text).

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