Chris Maness

Stock market is doing so bad today. The only thing that’s gonna end up higher at the end of the day is the price of eggs.

Looks like this would be an interesting job. Just don’t forget the human element, numbers, and data can only show us so much

So what are the crypto folks calling this? The Great Rug Pull?

You can help by joining your local library’s “friends of the library” or similar organization. I am a member of our local group and last year we raised enough to get ADA compliant doors installed.

Critical Reasoning with AI: How we know LLMs are applying reasoning patterns, and not just reverse image searching Writing this because I'm tired of having this argument

"Having overcome my broader skepticism, I find I’m just shocked at the mental gymnastics militant cynics will execute to avoid admitting that generative AI is doing anything particularly unique or useful."--@mikecaulfield
I do see that too sometimes.
mikecaulfield.substack.com/p/critical-r...

Goodreads 2024 Year in Books Check out My 2024 Year in Books on Goodreads!

No shockers here I love sci-do fantasy and a good non-fiction book www.goodreads.com/user/year_in...

Have I reaffirmed my love the Gruvbox theme for IDEs lately? I couldn’t imagine a more pleasing color palette for code.

Homography is very useful in straightening out distorted images (think document images scanned at weird angles) always loved the OpenCV explainer: docs.opencv.org/4.x/d9/dab/t...

For anyone interested in fine-tuning or aligning LLMs, I’m running this free and open course called smol course. It’s not a big deal, it’s just smol.

🧵>>

As a county level official in a rural county (population <25k) it amazes me that we can’t build homes here. I believe housing is the biggest factor in brain drain for our county; even though we’re in a thriving metro area, there are no places for young people to start a life and they leave.

Another common challenge is annotating the data once you have it.

Take an incremental approach and build in some simple predictions to allow you to collect ground truth that your user annotates to build more accurate predictions.

I’d love some suggestions of people to follow in the EV space or robotics space.

‘‘Twas a long long time ago in an internet far far away

In 2006 Twitter came out while I was in high school, it was an amazing place to talk to people about Web 2.0 and what was going on the world of tech. It was a niche community where everyone was real. We’ve lost that over the years but BlueSky is recapturing some of that magic that Threads couldn’t.

In my professional view, this approach is typically sufficient to assess the suitability of the concept for your product. However, it is important to note that it can be significantly more costly, both in terms of financial investment and computational time.

The more I leverage LLMs, the more I appreciate their efficacy in swiftly prototyping text-based ML and AI concepts, eliminating the need for gathering ground truth data, extensive training, or modeling. I recently built a zero-shot text classifier with 95% accuracy in a single day.